From a61dc0b58574804ea44cd495bd0607409e355b5d Mon Sep 17 00:00:00 2001 From: Max Ostapenko <1611259+max-ostapenko@users.noreply.github.com> Date: Wed, 20 Nov 2024 16:09:46 +0100 Subject: [PATCH] Datasets and schema updates (#15) * pruned summary * custom metrics split * cleaned up payload * summary pruned * structs * queries update * update schemas * update schema * examples updated * types cleanup * crawl and page ids removed * page ids removed from metadata * underscore * doc updates * image updates * 1 week crawl queue * query formatting * title fix * query result updates * routines updates * formatting * move image --- astro.config.mjs | 6 +- .../bigquery-httparchive-dataset-pinned.png | Bin 19996 -> 0 bytes .../guides/bigquery-httparchive-pinned.png | Bin 0 -> 27643 bytes src/content/docs/guides/bigquery-pages.png | Bin 0 -> 126337 bytes .../guides/bigquery-query-in-a-new-tab.png | Bin 14789 -> 37763 bytes .../docs/guides/bigquery-summary_pages.png | Bin 192414 -> 0 bytes .../docs/guides}/bq-preview.webp | Bin ...getting-started.md => getting-started.mdx} | 230 +- src/content/docs/guides/guided-tour.mdx | 8 +- ...set.mdx => migrating-to-crawl-dataset.mdx} | 137 +- src/content/docs/guides/minimizing-costs.md | 28 +- .../docs/guides/numDomains_requests_graph.png | Bin 73190 -> 0 bytes .../{release-cycle.md => release-cycle.mdx} | 13 +- .../docs/guides/release_cycle_diagram.svg | 1 + .../docs/guides/simple_agg_query_example.png | Bin 44224 -> 15025 bytes .../docs/guides/simple_join_example.png | Bin 111008 -> 81001 bytes src/content/docs/guides/sync_async_graph.png | Bin 518654 -> 0 bytes .../guides/type_summary_example_query.png | Bin 190588 -> 90553 bytes .../guides/type_summary_example_query2.png | Bin 227438 -> 121810 bytes src/content/docs/index.mdx | 4 +- src/content/docs/reference/blobs/har.mdx | 216 +- .../docs/reference/blobs/page-metadata.mdx | 81 +- src/content/docs/reference/functions/capo.mdx | 10 +- .../functions/get_host_categories.mdx | 18 +- .../docs/reference/functions/get_lcp_lazy.mdx | 10 +- .../reference/functions/get_lcp_priority.mdx | 11 +- .../docs/reference/functions/get_origin.mdx | 9 +- .../docs/reference/structs/custom-metrics.mdx | 284 +- .../docs/reference/structs/page-payload.md | 1097 + .../docs/reference/structs/page-summary.md | 540 +- .../docs/reference/structs/request-payload.md | 1401 +- .../docs/reference/structs/request-summary.md | 158 +- src/content/docs/reference/tables/pages.mdx | 49 +- .../docs/reference/tables/requests.mdx | 59 +- ...ploring_httparchive-all-pages_tables.ipynb | 17152 +++++++------- ...ring_httparchive-all-requests_tables.ipynb | 18772 ++++++++-------- ...ing_pages_and_requests_tables_joined.ipynb | 9668 ++++---- 37 files changed, 25141 insertions(+), 24821 deletions(-) delete mode 100644 src/content/docs/guides/bigquery-httparchive-dataset-pinned.png create mode 100644 src/content/docs/guides/bigquery-httparchive-pinned.png create mode 100644 src/content/docs/guides/bigquery-pages.png delete mode 100644 src/content/docs/guides/bigquery-summary_pages.png rename src/{assets => content/docs/guides}/bq-preview.webp (100%) rename src/content/docs/guides/{getting-started.md => getting-started.mdx} (53%) rename src/content/docs/guides/{migrating-to-all-dataset.mdx => migrating-to-crawl-dataset.mdx} (77%) delete mode 100644 src/content/docs/guides/numDomains_requests_graph.png rename src/content/docs/guides/{release-cycle.md => release-cycle.mdx} (66%) create mode 100644 src/content/docs/guides/release_cycle_diagram.svg delete mode 100644 src/content/docs/guides/sync_async_graph.png create mode 100644 src/content/docs/reference/structs/page-payload.md diff --git a/astro.config.mjs b/astro.config.mjs index 5a44a06..a9bc03b 100644 --- a/astro.config.mjs +++ b/astro.config.mjs @@ -26,11 +26,11 @@ export default defineConfig({ } ], social: { - github: 'https://github.com/rviscomi/har.fyi', + github: 'https://github.com/HTTPArchive/har.fyi', twitter: 'https://twitter.com/HTTPArchive', }, editLink: { - baseUrl: 'https://github.com/rviscomi/har.fyi/edit/main/' + baseUrl: 'https://github.com/HTTPArchive/har.fyi/edit/main/' }, sidebar: [ { @@ -40,7 +40,7 @@ export default defineConfig({ { label: 'Minimizing query costs', link: '/guides/minimizing-costs/' }, { label: 'Guided tour', link: '/guides/guided-tour/' }, { label: 'Release cycle', link: '/guides/release-cycle/' }, - { label: 'Migrate queries to `all` dataset', link: '/guides/migrating-to-all-dataset/' }, + { label: 'Migrate queries to `crawl` dataset', link: '/guides/migrating-to-crawl-dataset/' }, ], }, { diff --git a/src/content/docs/guides/bigquery-httparchive-dataset-pinned.png b/src/content/docs/guides/bigquery-httparchive-dataset-pinned.png deleted file mode 100644 index 4bba4aa7a9513d89412d56db8b7642d88954fa2f..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 19996 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z#AHIvh>q$>il}!D<4&g(Vf8Y+W`6xnCewoJKq~3Ay=2-qUNbh?MS5rjpcu4M zty*FDrhR*gAR&vHm=x{<3C4uiS&K$=t2TsX3nc1w*jxM6O%1&h)szx@nKkdEd41>} zFTq2AHGxx{^QVrPa=R{O(`wNyAh;D}BQMM`%;XN>U8&Zp}B{!!R)MWIp z76~$o2r>yKkL@>`*&mrnhiS+}0(O&hv=@%hjDSMG|MeLAc9JUT!UQf^+%|m&;mUqi z0Am#CawK$4JfXNuD_|RkX;ApFv1kR|5qAeiJQh(r(!D^knqd4>hPN)am51(tS|Cl8 zWc_?td#~S^zROgUmj{llIk*PKRYm}|E&YV(>Uv8cG9~j>*wVs*TXD| z(Xl7x_z65>=4eay{BH}DWbOw2*xRmQ1^U$+KROU$h77jDZp4RzYS?br%Sni;!>96EqZxs#e#(OTH;X~IEHNZ z=VAbFv(A7az&nxW5HtJqmlzVh)^Hh7CDOe;gpR|v!l4UCi{Z)eL5#>jHY&$Rr+W35 z`&s=R)lBj~o(G$o`dU`9H#>Z)&3w7JoYDUx}F<4y149s!W8xrD^{m zBH#;$xAun1$@u@J{ox!&3@8yT^3MltW`or3T<--9oPWLsbE0iuEGvW0i?)Gk$Ka2= MjIwlr + ```sql SELECT - COUNT(0) total_pages -FROM - `httparchive.all.pages` + COUNT(0) AS total_pages +FROM `httparchive.crawl.pages` WHERE - date = "2024-06-01" - AND client = "desktop" - AND is_root_page + date = "2024-06-01" AND + client = "desktop" AND + is_root_page ``` -![Simple Aggregate Query](./simple_agg_query_example.png) + + + ![Simple Aggregate Query](./simple_agg_query_example.png) + + + Perhaps you want to JOIN the pages and requests tables together, and see how many page URLs and request URLs are in this data set. + + ```sql SELECT - COUNT(DISTINCT pages.page) total_pages, - COUNT(0) total_requests -FROM - `httparchive.all.pages` pages -INNER JOIN - `httparchive.all.requests`requests -ON - pages.page = requests.page + COUNT(DISTINCT pages.page) AS total_pages, + COUNT(0) AS total_requests +FROM `httparchive.crawl.pages` pages +INNER JOIN `httparchive.crawl.requests`requests +ON pages.page = requests.page WHERE - pages.date = "2024-06-01" - AND requests.date = "2024-06-01" - AND pages.client = "desktop" - AND requests.client = "desktop" - AND pages.is_root_page - AND requests.is_root_page + pages.date = "2024-06-01" AND + requests.date = "2024-06-01" AND + pages.client = "desktop" AND + requests.client = "desktop" AND + pages.is_root_page AND + requests.is_root_page ``` + + + ![Simple JOIN Job Information](./simple_join_example.png) + + + When we look at the results of this, you can see how much data was processed during this query. Writing efficient queries limits the number of bytes processed - which is helpful since that's how BigQuery is billed. :::note There is [1TB free per month](https://cloud.google.com/bigquery/pricing#on_demand_pricing). ::: -![Simple JOIN Example](./simple_join_example.png) - -If you look closely, you'll notice that this particular query could actually be written without the JOIN. For example, we can count `distinct page` from the `requests` table instead of JOINing the `pages` table. If you run this query, you'll notice that the results are the same as the previous query, and the processed bytes are a bit less. +If you look closely, you'll notice that this particular query could actually be written without the JOIN. For example, we can count `DISTINCT page` from the `requests` table instead of JOINing the `pages` table. If you run this query, you'll notice that the results are the same as the previous query, and the processed bytes are a bit less. ```sql SELECT COUNT(DISTINCT page) total_pages, COUNT(0) total_requests -FROM - `httparchive.all.requests` +FROM `httparchive.crawl.requests` WHERE - date = "2024-06-01" - AND client = "desktop" - AND is_root_page + date = "2024-06-01" AND + client = "desktop" AND + is_root_page ``` Next let's summarize all of the HTTP requests by a type, and the number of pages that contain at least one request of that type. In the example below, you can see that I added `type` to the SELECT clause, added a GROUP clause and sorted the results by types that have the most requests. + + ```sql SELECT type, COUNT(DISTINCT page) total_pages, COUNT(0) total_requests -FROM - `httparchive.all.requests` +FROM `httparchive.crawl.requests` WHERE - date = "2024-06-01" - AND client = "desktop" - AND is_root_page -GROUP BY - type -ORDER BY - total_requests DESC + date = "2024-06-01" AND + client = "desktop" AND + is_root_page +GROUP BY type +ORDER BY total_requests DESC ``` + + + ![Simple JOIN Example](./type_summary_example_query.png) + + -Now things are starting to get interesting. - -![Simple JOIN Example](./type_summary_example_query.png) - -So let's try to learn something from this basic example. We know from the first example that there are 12.7 million URLs in the latest HTTP Archive dataset. Let's calculate the percent of pages that have each resource type. To do this, we'll divide the number of pages by the total pages (using our first query as a subquery). Then we'll use a `ROUND()` function to trim the result to 2 decimal points. +Now things are starting to get interesting. So let's try to learn something from this basic example. We know from the first example that there are 12.7 million URLs in the latest HTTP Archive dataset. Let's calculate the percent of pages that have each resource type. To do this, we'll divide the number of pages by the total pages (using our first query as a subquery). Then we'll use a `ROUND()` function to trim the result to 2 decimal points. + + ```sql WITH requests AS ( SELECT @@ -282,11 +213,11 @@ WITH requests AS ( page, COUNT(0) OVER () AS requests_total, COUNT(DISTINCT page) OVER () AS pages_total, - FROM `httparchive.all.requests` + FROM `httparchive.crawl.requests` WHERE - date = "2024-06-01" - AND client = "desktop" - AND is_root_page + date = "2024-06-01" AND + client = "desktop" AND + is_root_page ) SELECT @@ -295,11 +226,14 @@ SELECT ANY_VALUE(requests_total) AS requests_total, ROUND(COUNT(DISTINCT page) / ANY_VALUE(pages_total), 2) AS pages_percent FROM requests -GROUP BY - type -ORDER BY - pages_percent DESC +GROUP BY type +ORDER BY pages_percent DESC ``` + + + ![Simple JOIN Example](./type_summary_example_query2.png) + + When analyzing the results from this, you can see the % of websites that use different resource types. You can see that: @@ -308,8 +242,6 @@ When analyzing the results from this, you can see the % of websites that use dif * 96% load at least 1 CSS style, * and 87% load fonts on their homepage, etc. -![Simple JOIN Example](./type_summary_example_query2.png) - To explore more interactive examples, read the [Guided Tour](../guided-tour/). If you want to explore deeper you have everything you need - infrastructure, documentation, community. Enjoy exploring this data and feel free to share your results and ask questions on the [HTTP Archive Discuss section](https://discuss.httparchive.org/). diff --git a/src/content/docs/guides/guided-tour.mdx b/src/content/docs/guides/guided-tour.mdx index e588d7f..5774c9c 100644 --- a/src/content/docs/guides/guided-tour.mdx +++ b/src/content/docs/guides/guided-tour.mdx @@ -17,13 +17,13 @@ If you are new to BigQuery, then the [Getting Started guide](../getting-started/ Migration Guides: - If you are looking to adapt older HTTP Archive queries, written in [Legacy SQL](https://cloud.google.com/bigquery/docs/reference/legacy-sql), then you may find this [migration guide](https://cloud.google.com/bigquery/docs/reference/standard-sql/migrating-from-legacy-sql) helpful.* -- If you've been working with the deprecated dataset `pages` or `requests`, there is a guide on [migrating your queries to the `all` dataset](/guides/migrating-to-all-dataset/). +- If you've been working with the deprecated dataset `pages` or `requests`, there is a guide on [migrating your queries to the `crawl` dataset](/guides/migrating-to-crawl-dataset/). This guide is split into multiple sections, each one focusing on different tables in the HTTP Archive. Each section builds on top of the previous one: -1. [Exploring the `httparchive.all.pages` tables](https://colab.research.google.com/github/rviscomi/har.fyi/blob/main/workbooks/exploring_httparchive-all-pages_tables.ipynb) -2. [Exploring the `httparchive.all.requests` tables](https://colab.research.google.com/github/rviscomi/har.fyi/blob/main/workbooks/exploring_httparchive-all-requests_tables.ipynb) -3. [JOINing `pages` and `requests` tables](https://colab.research.google.com/github/rviscomi/har.fyi/blob/main/workbooks/exploring_pages_and_requests_tables_joined.ipynb) +1. [Exploring the `httparchive.crawl.pages` tables](https://colab.research.google.com/github/HTTPArchive/har.fyi/blob/main/workbooks/exploring_httparchive-all-pages_tables.ipynb) +2. [Exploring the `httparchive.crawl.requests` tables](https://colab.research.google.com/github/HTTPArchive/har.fyi/blob/main/workbooks/exploring_httparchive-all-requests_tables.ipynb) +3. [JOINing `pages` and `requests` tables](https://colab.research.google.com/github/HTTPArchive/har.fyi/blob/main/workbooks/exploring_pages_and_requests_tables_joined.ipynb) :::caution HTTP Archive uses clustered tables. BigQuery [doesn't guarantee](https://cloud.google.com/bigquery/docs/clustered-tables#clustered_table_pricing:~:text=BigQuery%20might%20not%20be%20able%20to%20accurately%20estimate%20the%20bytes%20to%20be%20processed) accuracy of estimations for bytes to be processed when querying clustered tables. For your information the actual bytes processed amount is provided in a comment for each query. diff --git a/src/content/docs/guides/migrating-to-all-dataset.mdx b/src/content/docs/guides/migrating-to-crawl-dataset.mdx similarity index 77% rename from src/content/docs/guides/migrating-to-all-dataset.mdx rename to src/content/docs/guides/migrating-to-crawl-dataset.mdx index 60aac94..c542b10 100644 --- a/src/content/docs/guides/migrating-to-all-dataset.mdx +++ b/src/content/docs/guides/migrating-to-crawl-dataset.mdx @@ -1,17 +1,17 @@ --- -title: Migrate queries to `all` dataset +title: Migrate queries to `crawl` dataset description: Assisting with query migration to the new dataset --- import { Tabs, TabItem } from '@astrojs/starlight/components'; -New tables have been introduced in the HTTP Archive dataset, which are more efficient and easier to use. The `all` dataset contains all the data from the previous `pages`, `requests`, and other datasets. This guide will help you migrate your queries to the new dataset. +New tables have been introduced in the HTTP Archive dataset, which are more efficient and easier to use. The `crawl` dataset contains all the data from the previous `pages`, `requests`, and other datasets. This guide will help you migrate your queries to the new dataset. -## Migrating to `all.pages` +## Migrating to `crawl.pages` ### Page data schemas comparison -previously | `all.pages` +previously | `crawl.pages` ---|--- date in a table name | [`date`](/reference/tables/pages/#date) client as `_TABLE_SUFFIX` | [`client`](/reference/tables/pages/#client) @@ -41,8 +41,9 @@ SELECT type, id FROM `httparchive.blink_features.features` -WHERE yyyymmdd = DATE('2024-05-01') - AND client = 'desktop' +WHERE + yyyymmdd = DATE('2024-05-01') AND + client = 'desktop' ``` @@ -52,11 +53,12 @@ SELECT features.feature, features.type, features.id -FROM `httparchive.all.pages`, +FROM `httparchive.crawl.pages`, UNNEST (features) AS features -WHERE date = '2024-06-01' - AND client = 'desktop' - AND is_root_page +WHERE + date = '2024-06-01' AND + client = 'desktop' AND + is_root_page ``` @@ -77,11 +79,12 @@ FROM `httparchive.lighthouse.2024_06_01_desktop` /* This query will process 17 TB when run. */ SELECT page, - JSON_QUERY(lighthouse, '$.audits.largest-contentful-paint.numericValue') AS LCP, -FROM `httparchive.all.pages` -WHERE date = '2024-06-01' - AND client = 'desktop' - AND is_root_page + lighthouse.audits.`largest-contentful-paint`.numericValue AS LCP, +FROM `httparchive.crawl.pages` +WHERE + date = '2024-06-01' AND + client = 'desktop' AND + is_root_page ``` @@ -107,10 +110,11 @@ SELECT client, wptid, -- JSON with the results of the custom metrics, - JSON_QUERY(custom_metrics, '$.privacy') AS custom_metrics, -FROM `httparchive.all.pages` -WHERE date = '2022-06-01' - AND is_root_page + custom_metrics.privacy AS custom_metrics, +FROM `httparchive.crawl.pages` +WHERE + date = '2022-06-01' AND + is_root_page ``` @@ -125,31 +129,26 @@ SELECT COUNT(0) pages, ROUND(AVG(reqTotal),2) avg_requests, FROM `httparchive.summary_pages.2024_06_01_desktop` -GROUP BY - numDomains -HAVING - pages > 1000 -ORDER BY - numDomains ASC +GROUP BY numDomains +HAVING pages > 1000 +ORDER BY numDomains ASC ``` ```sql /* This query will process 110 GB when run. */ SELECT - CAST(JSON_VALUE(summary, '$.numDomains') AS INT64) AS numDomains, + INT64(summary.numDomains) AS numDomains, COUNT(0) pages, - ROUND(AVG(CAST(JSON_VALUE(summary, '$.reqTotal') AS INT64)),2) as avg_requests, -FROM `httparchive.all.pages` -WHERE date = '2024-06-01' - AND client = 'desktop' - AND is_root_page -GROUP BY - numDomains -HAVING - pages > 1000 -ORDER BY - numDomains ASC + ROUND(AVG(INT64(summary.reqTotal)),2) as avg_requests, +FROM `httparchive.crawl.pages` +WHERE + date = '2024-06-01' AND + client = 'desktop' AND + is_root_page +GROUP BY numDomains +HAVING pages > 1000 +ORDER BY numDomains ASC ``` @@ -175,21 +174,22 @@ SELECT technologies.categories, technologies.technology, technologies.info -FROM `httparchive.all.pages`, +FROM `httparchive.crawl.pages`, UNNEST (technologies) AS technologies -WHERE date = '2024-06-01' - AND client = 'desktop' - AND is_root_page +WHERE + date = '2024-06-01' AND + client = 'desktop' AND + is_root_page ``` -## Migrating to `all.requests` +## Migrating to `crawl.requests` ### Request data schemas comparison -previously | `all.requests` +previously | `crawl.requests` ---|--- date in a table name | [`date`](/reference/tables/requests/#date) client as `_TABLE_SUFFIX` | [`client`](/reference/tables/requests/#client) @@ -218,9 +218,10 @@ SELECT JSON_VALUE(request_headers, '$.value') AS header_value, FROM `httparchive.almanac.requests`, UNNEST(JSON_QUERY_ARRAY(request_headers)) AS request_headers -WHERE date = '2024-06-01' - AND client = 'desktop' - AND firstHtml +WHERE + date = '2024-06-01' AND + client = 'desktop' AND + firstHtml ``` @@ -228,12 +229,13 @@ WHERE date = '2024-06-01' SELECT LOWER(request_headers.name) AS header_name, request_headers.value AS header_value, -FROM `httparchive.all.requests`, +FROM `httparchive.crawl.requests`, UNNEST(request_headers) AS request_headers -WHERE date = '2024-06-01' - AND client = 'desktop' - AND is_main_document - AND is_root_page +WHERE + date = '2024-06-01' AND + client = 'desktop' AND + is_main_document AND + is_root_page ``` @@ -256,12 +258,13 @@ FROM `httparchive.requests.2024_06_01_desktop` SELECT page, url, - JSON_VALUE(summary, '$.mimeType') AS mimeType, - CAST(JSON_VALUE(summary, '$.respBodySize') AS INT64) AS respBodySize, -FROM `httparchive.all.requests` -WHERE date = '2024-06-01' - AND client = 'desktop' - AND is_root_page + STRING(summary.mimeType) AS mimeType, + INT64(summary.respBodySize) AS respBodySize, +FROM `httparchive.crawl.requests` +WHERE + date = '2024-06-01' AND + client = 'desktop' AND + is_root_page ``` @@ -286,10 +289,11 @@ SELECT page, url, BYTE_LENGTH(response_body) AS bodySize -FROM `httparchive.all.requests` -WHERE date = '2024-06-01' - AND client = 'desktop' - AND is_root_page +FROM `httparchive.crawl.requests` +WHERE + date = '2024-06-01' AND + client = 'desktop' AND + is_root_page ``` @@ -313,12 +317,13 @@ ORDER BY responseSize100KB ASC ```sql /* This query will process 10 TB when run. */ SELECT - ROUND(CAST(JSON_VALUE(summary, '$.respBodySize') AS INT64)/1024/100)*100 AS responseSize100KB, + ROUND(INT64(summary.respBodySize)/1024/100)*100 AS responseSize100KB, COUNT(0) requests, -FROM `httparchive.all.requests` -WHERE date = '2024-06-01' - AND client = 'desktop' - AND is_root_page +FROM `httparchive.crawl.requests` +WHERE + date = '2024-06-01' AND + client = 'desktop' AND + is_root_page GROUP BY responseSize100KB HAVING responseSize100KB > 0 ORDER BY responseSize100KB ASC diff --git a/src/content/docs/guides/minimizing-costs.md b/src/content/docs/guides/minimizing-costs.md index 0fae37a..62a6a66 100644 --- a/src/content/docs/guides/minimizing-costs.md +++ b/src/content/docs/guides/minimizing-costs.md @@ -9,10 +9,10 @@ The HTTP Archive dataset is large and complex, and it's easy to write queries th Table | Partitioned by | Clustered by --- | --- | --- -`httparchive.all.pages` | `date` | `client`
`is_root_page`
`rank` -`httparchive.all.requests` | `date` | `client`
`is_root_page`
`is_main_document`
`type` +`httparchive.crawl.pages` | `date` | `client`
`is_root_page`
`rank`
`page` +`httparchive.crawl.requests` | `date` | `client`
`is_root_page`
`is_main_document`
`type` -For example, the `httparchive.all.pages` table is [partitioned](https://cloud.google.com/bigquery/docs/partitioned-tables) by `date` and [clustered](https://cloud.google.com/bigquery/docs/clustered-tables) by the `client`, `is_root_page`, and `rank` columns, which means that queries that filter on these columns will be much faster and cheaper than queries that don't. +For example, the `httparchive.crawl.pages` table is [partitioned](https://cloud.google.com/bigquery/docs/partitioned-tables) by `date` and [clustered](https://cloud.google.com/bigquery/docs/clustered-tables) by the `client`, `is_root_page`, `rank` and `page` columns, which means that queries that filter on these columns will be much faster and cheaper than queries that don't. :::caution BigQuery [doesn't guarantee](https://cloud.google.com/bigquery/docs/clustered-tables#clustered_table_pricing:~:text=BigQuery%20might%20not%20be%20able%20to%20accurately%20estimate%20the%20bytes%20to%20be%20processed) accuracy of estimations for 'Bytes processed' when querying clustered tables ([Issue Link](https://issuetracker.google.com/issues/176795805)). The actual data volume may be smaller than the amount provided in the estimate. @@ -27,7 +27,7 @@ Filter by the top 1k websites. This is the smallest rank bucket and will result SELECT page FROM - `httparchive.all.pages` + `httparchive.crawl.pages` WHERE date = '2023-05-01' AND client = 'desktop' AND @@ -44,9 +44,9 @@ For example, without `TABLESAMPLE`: ```sql SELECT - JSON_VALUE(custom_metrics, '$.avg_dom_depth') AS dom_depth + custom_metrics.other.avg_dom_depth FROM - `httparchive.all.pages` + `httparchive.crawl.pages` WHERE date = '2023-05-01' AND client = 'desktop' @@ -58,9 +58,9 @@ However, the same query with `TABLESAMPLE` at 0.01% is much cheaper: ```sql SELECT - JSON_VALUE(custom_metrics, '$.avg_dom_depth') AS dom_depth + custom_metrics.other.avg_dom_depth FROM - `httparchive.all.pages` TABLESAMPLE SYSTEM (0.01 PERCENT) + `httparchive.crawl.pages` TABLESAMPLE SYSTEM (0.01 PERCENT) WHERE date = '2023-05-01' AND client = 'desktop' @@ -77,9 +77,9 @@ For example, this query still processes 6.56 TB: ```sql SELECT - JSON_VALUE(custom_metrics, '$.avg_dom_depth') AS dom_depth + custom_metrics.other.avg_dom_depth FROM - `httparchive.all.pages` + `httparchive.crawl.pages` WHERE date = '2023-05-01' AND client = 'desktop' @@ -91,16 +91,16 @@ LIMIT ## Use the `sample_data` dataset -The `sample_data` dataset contains 1k and 10k subsets of the full pages and requests tables. These tables are useful for testing queries before running them on the full dataset, without the risk of incurring a large query cost. +The `sample_data` dataset contains 10k subsets of the full pages and requests tables. These tables are useful for testing queries before running them on the full dataset, without the risk of incurring a large query cost. -Table names correspond to their full-size counterparts of the form `[table]_[client]_10k` for the legacy tables or `[table]_1k` for the newer `all.pages` and `all.requests` tables. For example, to query the summary data for the subset of 10k pages, you would use the `httparchive.sample_data.summary_pages_desktop_10k` table. +Table names correspond to their full-size counterparts of the form `[table]_1k` for `crawl.pages` and `crawl.requests` tables. For example, to query the summary data for the subset of 10k pages, you would use the `httparchive.sample_data.pages_10k` table. ## Use table previews BigQuery allows you to preview entire rows of a table without incurring a query cost. This is useful for getting a rough idea of the data in a table before running a more expensive query. -![Preview tab on BigQuery](../../../assets/bq-preview.webp) +![Preview tab on BigQuery](./bq-preview.webp) To access the preview, click on a table name from the workspace explorer and select the **Preview** tab. -Note that generating the preview may be slow for tables with large payloads, like `response_bodies` or `pages`. Also note that the text values are truncated by default, so you will need to expand the field to get the full value. +Note that generating the preview may be slow for these tables as they include large payloads. 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zc|ziYTq?x|n>dB(s95?hamRx~r^zoEl2Ljp^*`k0I*eJWFt(lO-xp`nc&+nh`|DlTPeixBTtAvcDAkAio>SS= ziI!N~;-9e=CDGp5xvRNb5W zdY9A6+@}S$B)_^YTOcxov3Yd0=+I=R35C#D3@FGZ9)+T(sC?L@91vDNkQb+UiiQWr z#ft}G;+f7n)hFJ_e+$)cD7PA|kn`l^j{e^p{ACdQtUFzxcIwM0Lu|e<7wdl@rxS_i zWW&!7fZ9{dTS$k0Kl_QasQDbc)f_EO0G$6*GClb(5eyQL<7@ApM(>mO4S=`G9ifc> zw@&vjh1bLcQnJe$b&^kgnK&ql!1lH>$0@q!6`V5=rR}#+Jboe@|9c}t*pF68++n?E)j}Eu*1sKW{2aJOpw;wxJ_-%K{i<|eUO1pF#3QAF;oSWcfH2w(g?j;= zy5#jEo%&PXrLdaGaqI+C0yKD*BkR-$LW873#?tF?yskHpMOfgU5<*?RM9#$jzW^Ib Ba!vpM diff --git a/src/content/docs/index.mdx b/src/content/docs/index.mdx index eb5a6ed..b2b1c9f 100644 --- a/src/content/docs/index.mdx +++ b/src/content/docs/index.mdx @@ -12,7 +12,7 @@ hero: icon: right-arrow variant: primary - text: Contribute on GitHub - link: https://github.com/rviscomi/har.fyi + link: https://github.com/HTTPArchive/har.fyi icon: external --- @@ -28,7 +28,7 @@ import { Card, CardGrid } from '@astrojs/starlight/components'; Learn about the [`pages`](/reference/tables/pages/) table - Contribute to the project on [GitHub](https://github.com/rviscomi/har.fyi) + Contribute to the project on [GitHub](https://github.com/HTTPArchive/har.fyi) See [httparchive.org](https://httparchive.org/) diff --git a/src/content/docs/reference/blobs/har.mdx b/src/content/docs/reference/blobs/har.mdx index c4d371b..d475f72 100644 --- a/src/content/docs/reference/blobs/har.mdx +++ b/src/content/docs/reference/blobs/har.mdx @@ -7,7 +7,7 @@ _Appears in: [`pages` table](/reference/tables/pages/)_ JSON-encoded blob of HAR data for the page. See [payload.json](/payload.json), for example. -**The actual schema of the HAR object is liable to change, depending on a number of factors including the output from WebPageTest, custom metrics, Wappalyzer, Lighthouse, and more.** +**The actual schema of the HAR object is liable to change, depending on a number of factors including the output from WebPageTest and more.** ## Schema @@ -371,218 +371,6 @@ The test run time in milliseconds. The test URL. -### `_custom` - -Custom properties. - -### `_00_reset` - -A reset value. - -### `_Colordepth` - -The color depth of the screen. - -### `_Dpi` - -The DPI (dots per inch) of the screen. - -### `_Images` - -The number of images on the page. - -### `_Resolution` - -The screen resolution. - -### `_a11y` - -Accessibility information. - -### `_almanac` - -Almanac information. - -### `_aurora` - -Aurora information. - -### `_avg_dom_depth` - -The average depth of the DOM. - -### `_cms` - -Content Management System (CMS) information. - -### `_crawl_links` - -[description] - -### `_css` - -[description] - -### `_css-variables` - -[description] - -### `_doctype` - -[description] - -### `_document_height` - -[description] - -### `_document_width` - -[description] - -### `_ecommerce` - -[description] - -### `_element_count` - -[description] - -### `_event-names` - -[description] - -### `_fugu-apis` - -[description] - -### `_has_shadow_root` - -[description] - -### `_img-loading-attr` - -[description] - -### `_initiators` - -[description] - -### `_inline_style_bytes` - -[description] - -### `_javascript` - -[description] - -### `_lib-detector-version` - -[description] - -### `_localstorage_size` - -[description] - -### `_markup` - -[description] - -### `_media` - -[description] - -### `_meta_viewport` - -[description] - -### `_num_iframes` - -[description] - -### `_num_scripts` - -[description] - -### `_num_scripts_async` - -[description] - -### `_num_scripts_sync` - -[description] - -### `_observers` - -[description] - -### `_origin-trials` - -[description] - -### `_performance` - -[description] - -### `_privacy` - -[description] - -### `_pwa` - -[description] - -### `_quirks_mode` - -[description] - -### `_responsive_images` - -[description] - -### `_robots_meta` - -[description] - -### `_robots_txt` - -[description] - -### `_sass` - -[description] - -### `_security` - -[description] - -### `_sessionstorage_size` - -[description] - -### `_structured-data` - -[description] - -### `_third-parties` - -[description] - -### `_usertiming` - -[description] - -### `_valid-head` - -[description] - -### `_well-known` - -[description] - -### `_wpt_bodies` - -[description] - ### `_interactivePeriods` [description] @@ -693,4 +481,4 @@ Content Management System (CMS) information. ### `_consoleLog` -[description] \ No newline at end of file +[description] diff --git a/src/content/docs/reference/blobs/page-metadata.mdx b/src/content/docs/reference/blobs/page-metadata.mdx index d7c9f1b..8cc7b19 100644 --- a/src/content/docs/reference/blobs/page-metadata.mdx +++ b/src/content/docs/reference/blobs/page-metadata.mdx @@ -12,42 +12,25 @@ Here's an example of the decoded object: ```json { - "rank": 500000, - "page_id": 26243429, - "tested_url": "https://www.example.com/", - "layout": "Desktop", - "crawl_depth": 0, - "link_depth": 0, - "root_page_id": 26243429, - "root_page_url": "https://www.example.com/", - "root_page_test_id": "230509_Dx20W_FMHK5" + "crawl_depth": 1, + "layout": "Desktop", + "link_depth": 0, + "parent_page_test_id": "241008_Dx133_8DPZ7", + "parent_page_url": "https://httparchive.org/", + "rank": 5000000, + "retry_count": 0, + "root_page_test_id": "241008_Dx133_8DPZ7", + "root_page_url": "https://httparchive.org/", + "tested_url": "https://httparchive.org/faq", + "visited": [ + "https://httparchive.org/", + "https://httparchive.org/faq" + ] } ``` ## Schema -### `rank` - -The rank magnitude of the origin, which is a measure of relative popularity. - -For example, the page `https://www.example.com/` has a rank of `500000`, which means that the `https://www.example.com` website is in the top 500k most popular, according to the [Chrome UX Report](https://developer.chrome.com/docs/crux/methodology/#popularity-metric). - -### `page_id` - -A unique identifier for the page. - -This is used for internal deduplication purposes and doesn't reflect anything about the page itself. - -### `tested_url` - -The actual URL of the page that was intended to be tested. - -This is useful when there may be ambiguity caused by redirects or known issues where the certificate request appears before the page itself. - -### `layout` - -Whether the page was tested in a desktop or mobile environment. Values are `"Desktop"` or `"Mobile"`. - ### `crawl_depth` Levels of depth from the root page. HTTP Archive is currently configured to crawl one level into a website, so this value will always be `0` or `1`. @@ -63,20 +46,48 @@ When a root page is being tested, secondary page candidates are collected using From the list of candidates, the link with the largest hit area is selected to be tested next. If that test fails, the next largest link is used. +### `layout` + +Whether the page was tested in a desktop or mobile environment. Values are `"Desktop"` or `"Mobile"`. + ### `link_depth` At a given crawl depth, this value represents the index in the list of pages being tested. Currently, HTTP Archive only crawls one page per level, so this value is always `0`. Hypothetically, HTTP Archive can crawl multiple pages per level. For example, at crawl depth `0`, the page is the root. Given that there's only one root page, the `link_depth` would be `0`. At crawl depth `1`, there may be many secondary page candidates. Instead of testing only one of them, HTTP Archive could test multiple secondary pages that are all linked from the root page. These pages would have a `link_depth` of `0`, `1`, `2`, etc, where the smaller indexes represent the pages that are more prominently linked from the preceding page. -### `root_page_id` +### `parent_page_test_id` + +The test ID of the parent page. This is useful for debugging purposes. + +### `parent_page_url` + +URL of the parent page. + +### `rank` + +The rank magnitude of the origin, which is a measure of relative popularity. + +For example, the page `https://www.example.com/` has a rank of `500000`, which means that the `https://www.example.com` website is in the top 500k most popular, according to the [Chrome UX Report](https://developer.chrome.com/docs/crux/methodology/#popularity-metric). + +### `retry_count` -ID of the root page. At crawl depth `0` this is the same as the `page_id` field. +The number of times the page was retried. This is useful for debugging purposes. + +### `root_page_test_id` + +The test ID of the root page. ### `root_page_url` URL of the root page. -### `root_page_test_id` +### `tested_url` + +The actual URL of the page that was intended to be tested. + +This is useful when there may be ambiguity caused by redirects or known issues where the certificate request appears before the page itself. + +### `visited` -WebPageTest ID of the root page. +An array of URLs that were visited during the test. This includes the root page and any secondary pages that were tested. diff --git a/src/content/docs/reference/functions/capo.mdx b/src/content/docs/reference/functions/capo.mdx index 2a024ad..0000442 100644 --- a/src/content/docs/reference/functions/capo.mdx +++ b/src/content/docs/reference/functions/capo.mdx @@ -75,14 +75,12 @@ vizWeight | weight | element SELECT page, httparchive.fn.CAPO(response_body) AS capo -FROM - `httparchive.all.requests` TABLESAMPLE SYSTEM (0.001 PERCENT) +FROM `httparchive.crawl.requests` TABLESAMPLE SYSTEM (0.001 PERCENT) WHERE date = '2023-05-01' AND client = 'desktop' AND is_main_document -LIMIT - 1 +LIMIT 1 ``` @@ -90,11 +88,11 @@ LIMIT page | vizWeight | weight | element -- | -- | -- | -- -https://www.example.com/ | ██████████ | 9 | `Example Domain` +https://www.example.com/ | ██████████ | 9 | `Example Domain` https://www.example.com/ | ███████████ | 10 | `` https://www.example.com/ | ███████████ | 10 | `` https://www.example.com/ | ███████████ | 10 | `` https://www.example.com/ | █████ | 4 | `` - \ No newline at end of file + diff --git a/src/content/docs/reference/functions/get_host_categories.mdx b/src/content/docs/reference/functions/get_host_categories.mdx index 43258b7..0f776bc 100644 --- a/src/content/docs/reference/functions/get_host_categories.mdx +++ b/src/content/docs/reference/functions/get_host_categories.mdx @@ -7,7 +7,7 @@ import { Tabs, TabItem } from '@astrojs/starlight/components'; We are happy to release the largest open-source dataset of website categories, featuring 147 million hosts and 31 million domains, making it the most extensive open-source data available in this area. -The [`GET_HOST_CATEGORIES`](https://console.cloud.google.com/bigquery?ws=!1m5!1m4!6m3!1shttparchive!2sfn!3sGET_HOST_CATEGORIES) function retrieves the category information of a given hostname. It maps hostnames to their respective categories using a pre-classified dataset. +The [`GET_HOST_CATEGORIES`](https://console.cloud.google.com/bigquery?ws=!1m5!1m4!6m3!1shttparchive!2sfn!3sGET_HOST_CATEGORIES) function retrieves the category information of a given hostname. It maps hostnames to their respective categories using a pre-classified dataset. ## Input @@ -31,12 +31,10 @@ The function takes a single parameter: `input_host`, which is a STRING represent ```sql -SELECT - * -FROM - UNNEST(httparchive.fn.GET_HOST_CATEGORIES('apple.com')) +SELECT * +FROM UNNEST(httparchive.fn.GET_HOST_CATEGORIES('apple.com')) ``` - + @@ -70,12 +68,10 @@ SELECT full_category, subcategory, parent_category -FROM - `httparchive.urls.latest_crux_mobile` -LEFT JOIN +FROM `httparchive.urls.latest_crux_mobile`, UNNEST(`httparchive.fn.GET_HOST_CATEGORIES`(url)) ``` - + @@ -89,7 +85,7 @@ This model is applied to all requests in the HTTP Archive's dataset from the fir The raw data for the classifications is stored in the `httparchive.urls.categories` table. This table consists of pre-classified hostnames with their corresponding categories. The categories follow a hierarchical structure, providing both specific subcategories and broader parent categories. Please consider the limitations of our method regarding some hosts discussed [here](https://github.com/HTTPArchive/httparchive.org/issues/868). Thus, while this data can be accessed directly, we highly recommend using the `GET_HOST_CATEGORIES` function due to the handling of hashed subdomains. If your analysis requires working with domains (e.g., `google.com` instead of `maps.google.com`), accessing the raw data directly is also appropriate. - + ## Limitations As with many classification models, our approach has some limitations: diff --git a/src/content/docs/reference/functions/get_lcp_lazy.mdx b/src/content/docs/reference/functions/get_lcp_lazy.mdx index 17b0348..384b9c7 100644 --- a/src/content/docs/reference/functions/get_lcp_lazy.mdx +++ b/src/content/docs/reference/functions/get_lcp_lazy.mdx @@ -43,9 +43,8 @@ For custom attributes, only the name needs to match (the value is ignored). For ```sql WITH lazy AS ( SELECT - `httparchive.fn.GET_LCP_LAZY`(JSON_QUERY(custom_metrics, '$.performance')).native - FROM - `httparchive.all.pages` + `httparchive.fn.GET_LCP_LAZY`(SAFE.STRING(custom_metrics.performance)).native + FROM `httparchive.crawl.pages` WHERE date = '2023-11-01' AND client = 'mobile' AND @@ -76,9 +75,8 @@ FROM ```sql WITH lazy AS ( SELECT - `httparchive.fn.GET_LCP_LAZY`(JSON_QUERY(custom_metrics, '$.performance')).custom - FROM - `httparchive.all.pages` + `httparchive.fn.GET_LCP_LAZY`(SAFE.STRING(custom_metrics.performance).custom + FROM `httparchive.crawl.pages` WHERE date = '2023-11-01' AND client = 'mobile' AND diff --git a/src/content/docs/reference/functions/get_lcp_priority.mdx b/src/content/docs/reference/functions/get_lcp_priority.mdx index f4712e0..ce2f2c6 100644 --- a/src/content/docs/reference/functions/get_lcp_priority.mdx +++ b/src/content/docs/reference/functions/get_lcp_priority.mdx @@ -31,19 +31,16 @@ The value of the `fetchpriority` attribute of the LCP element, or `null` if the ```sql WITH lcp AS ( SELECT - `httparchive.fn.GET_LCP_PRIORITY`(JSON_QUERY(custom_metrics, '$.performance')) AS priority - FROM - `httparchive.all.pages` + `httparchive.fn.GET_LCP_PRIORITY`(SAFE.STRING(custom_metrics.performance)) AS priority + FROM `httparchive.crawl.pages` WHERE date = '2023-11-01' AND client = 'mobile' AND is_root_page ) -SELECT - APPROX_TOP_COUNT(priority, 10) AS priority -FROM - lcp +SELECT APPROX_TOP_COUNT(priority, 10) AS priority +FROM lcp ``` diff --git a/src/content/docs/reference/functions/get_origin.mdx b/src/content/docs/reference/functions/get_origin.mdx index 9c7183f..2160bda 100644 --- a/src/content/docs/reference/functions/get_origin.mdx +++ b/src/content/docs/reference/functions/get_origin.mdx @@ -32,8 +32,7 @@ The corresponding origin. SELECT url, `httparchive.fn.GET_ORIGIN`(url) AS origin -FROM - UNNEST([ +FROM UNNEST([ 'https://www.example.com/product/123', 'https://example.com/', 'http://example.com:80/index.html' @@ -61,15 +60,13 @@ http://example.com:80/index.html | http://example.com:80 WITH cross_origin AS ( SELECT COUNT(0) AS resources - FROM - `httparchive.all.requests` + FROM `httparchive.crawl.requests` WHERE date = '2023-11-01' AND client = 'mobile' AND is_root_page AND `httparchive.fn.GET_ORIGIN`(url) != `httparchive.fn.GET_ORIGIN`(page) - GROUP BY - page + GROUP BY page ) diff --git a/src/content/docs/reference/structs/custom-metrics.mdx b/src/content/docs/reference/structs/custom-metrics.mdx index 1849402..328fae9 100644 --- a/src/content/docs/reference/structs/custom-metrics.mdx +++ b/src/content/docs/reference/structs/custom-metrics.mdx @@ -8,167 +8,57 @@ _As [`custom_metrics`](/reference/tables/pages/#custom_metrics)_ ## Schema -| Field name | Type | Description | -|--------------------|---------|---------------------------------------------------| -| `a11y` | String | Accessibility. | -| `ads` | String | Advertising technology and usage. | -| `almanac` | String | Metrics defined in the early versions of Web Almanac crawls. | -| `aurora` | String | Project Aurora. | -| `avg_dom_depth` | Integer | The average DOM depth of a page. | -| `cms` | String | Content Management Systems. | -| `Colordepth` | String | Color depth of a screen. | -| `cookies` | String | Cookie usage. | -| `crawl_links` | String | The links found during a crawl. | -| `css` | String | CSS usage. | -| `css-variables` | String | Use of CSS variables. | -| `doctype` | String | Document type declaration. | -| `document_height` | Integer | Height of the document. | -| `document_width` | Integer | Width of the document. | -| `Dpi` | Integer | Dots per inch (DPI) of a screen. | -| `event-names` | String | Event names used in JavaScript. | -| `fugu-apis` | String | Usage of Fugu APIs. | -| `generated-content`| String | Client-side generated content. | -| `has_shadow_root` | String | Presence of shadow DOM roots. | -| `Images` | String | Images usage. | -| `img-loading-attr` | String | Image loading attributes. | -| `initiators` | String | Resource initiators. | -| `inline_style_bytes`| Integer | Size of inline styles. | -| `javascript` | String | JavaScript usage. | -| `lib-detector-version`| String | Libraries detector version. | -| `localstorage_size`| Integer | Size of local storage. | -| `markup` | String | HTML markup. | -| `media` | String | Media elements. | -| `meta_viewport` | String | Meta viewport tag. | -| `num_iframes` | Integer | Number of iframes on a page. | -| `num_scripts` | Integer | Number of script tags. | -| `num_scripts_async`| Integer | Number of asynchronous scripts. | -| `num_scripts_sync` | Integer | Number of synchronous scripts. | -| `observers` | String | Metrics related to the usage of observer APIs. | -| `performance` | String | Web performance. | -| `privacy-sandbox` | String | Privacy Sandbox initiative usage. | -| `privacy` | String | Privacy settings and policies. | -| `pwa` | String | Progressive Web Apps. | -| `quirks_mode` | String | Usage of quirks mode in browsers. | -| `Resolution` | Integer | Resolution of a screen. | -| `responsive_images`| String | Responsive image techniques. | -| `robots_meta` | String | Robots meta tag. | -| `robots_txt` | String | robots.txt file. | -| `sass` | String | Usage of Sass. | -| `security` | String | Security features. | -| `sessionstorage_size`| Integer | Size of session storage. | -| `structured-data` | String | Structured data. | -| `third-parties` | String | Third-party resources. | -| `usertiming` | String | User Timing API. | -| `valid-head` | String | Validity of the head element. | -| `well-known` | String | well-known URIs. | -| `wpt_bodies` | String | Metrics derived from WebPageTest bodies object. | +| Field name | Type | Description | +|--------------------|---------|-------------------------------------------------| +| `a11y` | JSON | Accessibility. | +| `cms` | JSON | Content Management Systems. | +| `cookies` | JSON | Cookie usage. | +| `css_variables` | JSON | Use of CSS variables. | +| `ecommerce` | JSON | E-commerce features. | +| `element_count` | JSON | Number of elements on a page. | +| `javascript` | JSON | JavaScript usage. | +| `markup` | JSON | HTML markup. | +| `media` | JSON | Media elements. | +| `origin_trials` | JSON | Origin Trials. | +| `performance` | JSON | Web performance. | +| `privacy` | JSON | Privacy settings and policies. | +| `responsive_images`| JSON | Responsive image techniques. | +| `robots_txt` | JSON | robots.txt file. | +| `security` | JSON | Security features. | +| `structured_data` | JSON | Structured data. | +| `third_parties` | JSON | Third-party resources. | +| `well_known` | JSON | well-known URIs. | +| `wpt_bodies` | JSON | Metrics derived from WebPageTest bodies object. | +| `other` | JSON | Other custom metrics. | ### `a11y` Accessibility. -### `ads` - -Advertising technology and usage. - -See the [`ads` custom metric](/reference/custom-metrics/ads/) for more information. - -### `almanac` - -Metrics defined in the early versions of Web Almanac crawls. - -### `aurora` - -Project Aurora. - -### `avg_dom_depth` - -The average DOM depth of a page. - ### `cms` Content Management Systems. -### `Colordepth` - -Color depth of a screen. - ### `cookies` Cookie usage. -### `crawl_links` - -The links found during a crawl. - -### `css` - -CSS usage. - -### `css-variables` +### `css_variables` Use of CSS variables. -### `doctype` - -Document type declaration. - -### `document_height` - -Height of the document. - -### `document_width` - -Width of the document. - -### `Dpi` - -Dots per inch (DPI) of a screen. - -### `event-names` - -Event names used in JavaScript. - -### `fugu-apis` - -Usage of Fugu APIs. - -### `generated-content` - -Client-side generated content. - -### `has_shadow_root` - -Presence of shadow DOM roots. - -### `Images` - -Images usage. - -### `img-loading-attr` - -Image loading attributes. - -### `initiators` +### `ecommerce` -Resource initiators. +E-commerce features. -### `inline_style_bytes` +### `element_count` -Size of inline styles. +Number of elements on a page. ### `javascript` JavaScript usage. -### `lib-detector-version` - -Libraries detector version. - -### `localstorage_size` - -Size of local storage. - ### `markup` HTML markup. @@ -177,102 +67,88 @@ HTML markup. Media elements. -### `meta_viewport` - -Meta viewport tag. - -### `num_iframes` - -Number of iframes on a page. - -### `num_scripts` - -Number of script tags. +### `origin_trials` -### `num_scripts_async` - -Number of asynchronous scripts. - -### `num_scripts_sync` - -Number of synchronous scripts. - -### `observers` - -Metrics related to the usage of observer APIs. +Origin Trials. ### `performance` -Web performance. - -See the [`performance` custom metric](/reference/custom-metrics/performance/) for more information. - -### `privacy-sandbox` - -Privacy Sandbox initiative usage. +Web performance. See the [`performance` custom metric](/reference/custom-metrics/performance/) for more information. ### `privacy` -Privacy settings and policies. - -See the [`privacy` custom metric](/reference/custom-metrics/privacy/) for more information. - -### `pwa` - -Progressive Web Apps. - -### `quirks_mode` - -Usage of quirks mode in browsers. - -### `Resolution` - -Resolution of a screen. +Privacy settings and policies. See the [`privacy`](/reference/custom-metrics/privacy/) custom metric for more information. ### `responsive_images` Responsive image techniques. -### `robots_meta` - -Robots meta tag. - ### `robots_txt` robots.txt file. -### `sass` - -Usage of Sass. - ### `security` Security features. -### `sessionstorage_size` - -Size of session storage. - -### `structured-data` +### `structured_data` Structured data. -### `third-parties` +### `third_parties` Third-party resources. -### `usertiming` - -User Timing API. - -### `valid-head` - -Validity of the head element. - -### `well-known` +### `well_known` well-known URIs. ### `wpt_bodies` Metrics derived from WebPageTest bodies object. + +### `other` + +Other custom metrics. + +List: + +| Field name | Description | +|--------------------|---------------------------------------------------| +| `ads` | Advertising technology and usage. See the [`ads` custom metric](/reference/custom-metrics/ads/) for more information. | +| `almanac` | Metrics defined in the early versions of Web Almanac crawls. | +| `aurora` | Project Aurora. | +| `avg_dom_depth` | The average DOM depth of a page. | +| `Colordepth` | Color depth of a screen. | +| `crawl_links` | The links found during a crawl. | +| `css` | CSS usage. | +| `doctype` | Document type declaration. | +| `document_height` | Height of the document. | +| `document_width` | Width of the document. | +| `Dpi` | Dots per inch (DPI) of a screen. | +| `event-names` | Event names used in JavaScript. | +| `fugu-apis` | Usage of Fugu APIs. | +| `generated-content`| Client-side generated content. | +| `has_shadow_root` | Presence of shadow DOM roots. | +| `Images` | Images usage. | +| `img-loading-attr` | Image loading attributes. | +| `initiators` | Resource initiators. | +| `inline_style_bytes` | Size of inline styles. | +| `lib-detector-version` | Libraries detector version. | +| `localstorage_size`| Size of local storage. | +| `meta_viewport` | Meta viewport tag. | +| `num_iframes` | Number of iframes on a page. | +| `num_scripts` | Number of script tags. | +| `num_scripts` | Number of script tags. | +| `num_scripts_async`| Number of asynchronous scripts. | +| `num_scripts_sync` | Number of synchronous scripts. | +| `observers` | Metrics related to the usage of observer APIs. | +| `privacy-sandbox` | Privacy Sandbox initiative usage. | +| `pwa` | Progressive Web Apps. | +| `quirks_mode` | Usage of quirks mode in browsers. | +| `Resolution` | Resolution of a screen. | +| `robots_meta` | Robots meta tag. | +| `sass` | Usage of Sass. | +| `sessionstorage_size` | Size of session storage. | +| `usertiming` | User Timing API. | +| `valid-head` | Validity of the head element. | diff --git a/src/content/docs/reference/structs/page-payload.md b/src/content/docs/reference/structs/page-payload.md new file mode 100644 index 0000000..6c9d42e --- /dev/null +++ b/src/content/docs/reference/structs/page-payload.md @@ -0,0 +1,1097 @@ +--- +title: Pages payload struct +description: Reference docs for the page payload struct +--- + +_Appears in: [`pages` table](/reference/tables/pages/#payload)_\ +_As: `payload`_ + +JSON-encoded WebPageTest result data for a page. + +Here's an example of the decoded object: + +```json +{ + "_LargestContentfulPaintNodeType": "P", + "_LargestContentfulPaintType": "text", + "_LastInteractive": 400, + "_PerformancePaintTiming.first-contentful-paint": 314.80000000447035, + "_PerformancePaintTiming.first-paint": 314.80000000447035, + "_SpeedIndex": 400, + "_TTFB": 232, + "_TTIMeasurementEnd": 3452, + "_URL": "https://www.example.com/", + "_aft": 0, + "_audit_issues": [ + { + "code": "QuirksModeIssue", + "details": { + "quirksModeIssueDetails": { + "documentNodeId": 2, + "frameId": "E021D0149DE3689992ECE4DF4B0ECA38", + "isLimitedQuirksMode": false, + "loaderId": "67DD39DE1A5C91FCB7B25B32EB8F7231", + "url": "http://127.0.0.1:8888/orange.html" + } + } + } + ], + "_basePageSSLTime": 98, + "_base_page_cdn": "Edgecast", + "_base_page_cname": "", + "_base_page_dns_server": "a.iana-servers.net", + "_base_page_ip_ptr": "", + "_browserVersion": "128.0.0.0", + "_browser_name": "Chrome", + "_browser_version": "128.0.0.0", + "_bytesIn": 1296, + "_bytesInDoc": 1296, + "_bytesOut": 4112, + "_bytesOutDoc": 4112, + "_cached": 0, + "_chromeUserTiming": [ + { + "name": "navigationStart", + "time": 39 + }, + ... + ], + "_chromeUserTiming.CumulativeLayoutShift": 0, + "_chromeUserTiming.LargestContentfulPaint": 354, + "_chromeUserTiming.LargestTextPaint": 354, + "_chromeUserTiming.TotalLayoutShift": 0, + "_chromeUserTiming.commitNavigationEnd": 285, + "_chromeUserTiming.domComplete": 320, + "_chromeUserTiming.domContentLoadedEventEnd": 320, + "_chromeUserTiming.domContentLoadedEventStart": 320, + "_chromeUserTiming.domInteractive": 320, + "_chromeUserTiming.domLoading": 285, + "_chromeUserTiming.fetchStart": 48, + "_chromeUserTiming.firstContentfulPaint": 354, + "_chromeUserTiming.firstMeaningfulPaint": 354, + "_chromeUserTiming.firstMeaningfulPaintCandidate": 354, + "_chromeUserTiming.firstPaint": 354, + "_chromeUserTiming.loadEventEnd": 320, + "_chromeUserTiming.loadEventStart": 320, + "_chromeUserTiming.markAsMainFrame": 284, + "_chromeUserTiming.navigationStart": 74, + "_chromeUserTiming.responseEnd": 277, + "_chromeUserTiming.unloadEventEnd": 284, + "_chromeUserTiming.unloadEventStart": 284, + "_connections": 1, + "_consoleLog": [ + { + "level": "error", + "networkRequestId": "344808.2", + "source": "network", + "text": "Failed to load resource: the server responded with a status of 404 ()", + "timestamp": 1726370503561.599, + "url": "https://www.example.com/favicon.ico" + } + ], + "_cpu.CommitLoad": 0, + "_cpu.EventDispatch": 0, + "_cpu.FunctionCall": 0, + "_cpu.HTMLDocumentParser::FetchQueuedPreloads": 0, + "_cpu.Idle": 302, + "_cpu.Layerize": 0, + "_cpu.Layout": 18, + "_cpu.MarkDOMContent": 0, + "_cpu.MarkLoad": 0, + "_cpu.Paint": 0, + "_cpu.ParseHTML": 2, + "_cpu.PrePaint": 0, + "_cpu.ResourceFetcher::requestResource": 0, + "_cpu.UpdateLayoutTree": 0, + "_cpu.V8.GC_TIME_TO_SAFEPOINT": 0, + "_cpu.largestContentfulPaint::Candidate": 0, + "_cpuTimes": { + "CommitLoad": 0, + "EventDispatch": 0, + "FunctionCall": 0, + "HTMLDocumentParser::FetchQueuedPreloads": 0, + "Idle": 302, + "Layerize": 0, + "Layout": 18, + "MarkDOMContent": 0, + "MarkLoad": 0, + "Paint": 0, + "ParseHTML": 2, + "PrePaint": 0, + "ResourceFetcher::requestResource": 0, + "UpdateLayoutTree": 0, + "V8.GC_TIME_TO_SAFEPOINT": 0, + "largestContentfulPaint::Candidate": 0 + }, + "_cpuTimesDoc": { + "CommitLoad": 0, + "EventDispatch": 0, + "FunctionCall": 0, + "HTMLDocumentParser::FetchQueuedPreloads": 0, + "Idle": 299, + "Layerize": 0, + "Layout": 18, + "MarkDOMContent": 0, + "MarkLoad": 0, + "Paint": 0, + "ParseHTML": 2, + "PrePaint": 0, + "ResourceFetcher::requestResource": 0, + "UpdateLayoutTree": 0, + "V8.GC_TIME_TO_SAFEPOINT": 0, + "largestContentfulPaint::Candidate": 0 + }, + "_date": 1726370503.1648238, + "_docTime": 320, + "_document_URL": "https://www.example.com/", + "_document_hostname": "www.example.com", + "_document_origin": "https://www.example.com", + "_domComplete": 281, + "_domContentLoadedEventEnd": 280, + "_domContentLoadedEventStart": 280, + "_domElements": 12, + "_domInteractive": 280, + "_domLoading": 0, + "_domTime": 0, + "_edge-processed": true, + "_effectiveBps": 14727, + "_eventName": "Step_1", + "_execution_contexts": [ + { + "id": 1, + "name": "", + "origin": "https://www.example.com" + }, + ... + ], + "_final_base_page_request": 0, + "_final_base_page_request_id": "44714C6F6C72B045136D19CA9894886A", + "_final_url": "https://www.example.com/", + "_firstContentfulPaint": 354, + "_firstMeaningfulPaint": 354, + "_firstPaint": 314.80000000447035, + "_fullyLoaded": 323, + "_fullyLoadedCPUms": 610, + "_fullyLoadedCPUpct": 9.41358024700691, + "_gzip_savings": 0, + "_gzip_total": 648, + "_image_savings": 0, + "_image_total": 0, + "_interactivePeriods": [[0, 3452]], + "_largestPaints": [ + { + "DOMNodeId": 3, + "event": "LargestTextPaint", + "nodeInfo": { + "bounds": [660, 192.875, 600, 57], + "nodeType": "P", + "styles": { + "background-image": "none" + } + }, + "size": 33858, + "time": 354 + } + ], + "_lastVisualChange": 400, + "_lighthouse.Accessibility": 0.88, + "_lighthouse.BestPractices": 0.96, + "_lighthouse.Performance": 1, + "_lighthouse.Performance.cumulative-layout-shift": 0, + "_lighthouse.Performance.first-contentful-paint": 329.542, + "_lighthouse.Performance.largest-contentful-paint": 329.542, + "_lighthouse.Performance.speed-index": 322, + "_lighthouse.Performance.total-blocking-time": 0, + "_lighthouse.SEO": 0.9, + "_loadEventEnd": 281, + "_loadEventStart": 281, + "_loadTime": 320, + "_main_frame": "E021D0149DE3689992ECE4DF4B0ECA38", + "_minify_savings": -1, + "_minify_total": -1, + "_optimization_checked": 1, + "_origin_dns": { + "cname": [], + "https": [], + "mx": ["0 ."], + "ns": [ + "a.iana-servers.net.", + "b.iana-servers.net." + ], + "soa": [ + "ns.icann.org. noc.dns.icann.org. 2024081420 7200 3600 1209600 3600" + ], + "svcb": [], + "txt": [ + "\"v=spf1 -all\"", + "\"wgyf8z8cgvm2qmxpnbnldrcltvk4xqfn\"" + ] + }, + "_osPlatform": "x86_64 x86_64", + "_osVersion": "Linux 6.8.0-1014-gcp", + "_os_version": "Linux 6.8.0-1014-gcp", + "_render": 400, + "_renderBlockingCSS": 0, + "_renderBlockingJS": 0, + "_requests": 2, + "_requestsDoc": 2, + "_requestsFull": 2, + "_responses_200": 1, + "_responses_404": 1, + "_responses_other": 0, + "_result": 99999, + "_run": 1, + "_score_cache": -1, + "_score_cdn": 100, + "_score_combine": -1, + "_score_compress": -1, + "_score_cookies": -1, + "_score_etags": -1, + "_score_gzip": 100, + "_score_keep-alive": 100, + "_score_minify": -1, + "_score_progressive_jpeg": -1, + "_server_rtt": 0, + "_start_epoch": 1726370501.1809506, + "_step": 1, + "_testID": "240912_Dx1XE_EVGML", + "_testStartOffset": 0, + "_testUrl": "https://www.example.com/", + "_test_run_time_ms": 5850, + "_tester": "agents-west-1-kl42-10.138.2.146", + "_titleTime": 76, + "_v8Stats": { + "background": {}, + "main_thread": {} + }, + "_viewport": { + "dpr": 1, + "height": 993, + "width": 1920 + }, + "_visualComplete": 400, + "_visualComplete85": 400, + "_visualComplete90": 400, + "_visualComplete95": 400, + "_visualComplete99": 400, + "id": "page_1_0_1", + "pageTimings": { + "_startRender": 400, + "onContentLoad": -1, + "onLoad": 320 + }, + "startedDateTime": "2024-09-15T03:21:42.914962", + "testID": "240912_Dx1XE_EVGML", + "title": "Run 1, First View for https://www.example.com/" +} +``` + +## Schema + +Field | Type | Description +-- | -- | -- +[`_LargestContentfulPaintNodeType`](#_largestcontentfulpaintnodetype) | `string` | The node type of the largest contentful paint +[`_LargestContentfulPaintType`](#_largestcontentfulpainttype) | `string` | The type of the largest contentful paint +[`_LastInteractive`](#_lastinteractive) | `int` | The time when the page was last interactive in milliseconds +[`_PerformancePaintTiming.first-contentful-paint`](#_performancepainttimingfirst-contentful-paint) | `float` | The time when the first contentful paint occurred in milliseconds +[`_PerformancePaintTiming.first-paint`](#_performancepainttimingfirst-paint) | `float` | The time when the first paint occurred in milliseconds +[`_SpeedIndex`](#_speedindex) | `int` | The Speed Index score +[`_TTFB`](#_ttfb) | `int` | The time to first byte in milliseconds +[`_TTIMeasurementEnd`](#_ttimeasurementend) | `int` | The time when the TTI measurement ended in milliseconds +[`_URL`](#_url) | `string` | The URL of the page +[`_aft`](#_aft) | `int` | The above-the-fold time in milliseconds +[`_audit_issues`](#_audit_issues) | `array` | Audit issues +[`_basePageSSLTime`](#_basepagessltime) | `int` | The time spent on SSL for the base page in milliseconds +[`_base_page_cdn`](#_base_page_cdn) | `string` | The CDN used for the base page +[`_base_page_cname`](#_base_page_cname) | `string` | The CNAME used for the base page +[`_base_page_dns_server`](#_base_page_dns_server) | `string` | The DNS server used for the base page +[`_base_page_ip_ptr`](#_base_page_ip_ptr) | `string` | The IP PTR used for the base page +[`_browserVersion`](#_browserversion) | `string` | The browser version +[`_browser_name`](#_browser_name) | `string` | The browser name +[`_browser_version`](#_browser_version) | `string` | The browser version +[`_bytesIn`](#_bytesin) | `int` | The number of bytes received in +[`_bytesInDoc`](#_bytesindoc) | `int` | The number of bytes received in the document +[`_bytesOut`](#_bytesout) | `int` | The number of bytes sent out +[`_bytesOutDoc`](#_bytesoutdoc) | `int` | The number of bytes sent out in the +[`_cached`](#_cached) | `int` | Whether the page was cached +[`_chromeUserTiming`](#_chromeusertiming) | `array` | Chrome user timing +[`_chromeUserTiming.CumulativeLayoutShift`](#_chromeusertimingcumulativelayoutshift) | `int` | The cumulative layout shift +[`_chromeUserTiming.LargestContentfulPaint`](#_chromeusertiminglargestcontentfulpaint) | `int` | The largest contentful paint +[`_chromeUserTiming.LargestTextPaint`](#_chromeusertiminglargesttextpaint) | `int` | The largest text paint +[`_chromeUserTiming.TotalLayoutShift`](#_chromeusertimingtotallayoutshift) | `int` | The total layout shift +[`_chromeUserTiming.commitNavigationEnd`](#_chromeusertimingcommitnavigationend) | `int` | The commit navigation end +[`_chromeUserTiming.domComplete`](#_chromeusertimingdomcomplete) | `int` | The DOM complete +[`_chromeUserTiming.domContentLoadedEventEnd`](#_chromeusertimingdomcontentloadedeventend) | `int` | The DOM content loaded event end +[`_chromeUserTiming.domContentLoadedEventStart`](#_chromeusertimingdomcontentloadedeventstart) | `int` | The DOM content loaded event start +[`_chromeUserTiming.domInteractive`](#_chromeusertimingdominteractive) | `int` | The DOM interactive +[`_chromeUserTiming.domLoading`](#_chromeusertimingdomloading) | `int` | The DOM loading +[`_chromeUserTiming.fetchStart`](#_chromeusertimingfetchstart) | `int` | The fetch start +[`_chromeUserTiming.firstContentfulPaint`](#_chromeusertimingfirstcontentfulpaint) | `int` | The first contentful paint +[`_chromeUserTiming.firstMeaningfulPaint`](#_chromeusertimingfirstmeaningfulpaint) | `int` | The first meaningful paint +[`_chromeUserTiming.firstMeaningfulPaintCandidate`](#_chromeusertimingfirstmeaningfulpaintcandidate) | `int` | The first meaningful paint candidate +[`_chromeUserTiming.firstPaint`](#_chromeusertimingfirstpaint) | `int` | The first paint +[`_chromeUserTiming.loadEventEnd`](#_chromeusertimingloadeventend) | `int` | The load event end +[`_chromeUserTiming.loadEventStart`](#_chromeusertimingloadeventstart) | `int` | The load event start +[`_chromeUserTiming.markAsMainFrame`](#_chromeusertimingmarkasmainframe) | `int` | The mark as main frame +[`_chromeUserTiming.navigationStart`](#_chromeusertimingnavigationstart) | `int` | The navigation start +[`_chromeUserTiming.responseEnd`](#_chromeusertimingresponseend) | `int` | The response end +[`_chromeUserTiming.unloadEventEnd`](#_chromeusertimingunloadeventend) | `int` | The unload event end +[`_chromeUserTiming.unloadEventStart`](#_chromeusertimingunloadeventstart) | `int` | The unload event start +[`_connections`](#_connections) | `int` | The number of connections +[`_consoleLog`](#_consolelog) | `array` | Console logs +[`_cpu.CommitLoad`](#_cpucommitload) | `int` | The CPU time spent on commit load in milliseconds +[`_cpu.EventDispatch`](#_cpueventdispatch) | `int` | The CPU time spent on event dispatch in milliseconds +[`_cpu.FunctionCall`](#_cpufunctioncall) | `int` | The CPU time spent on function call in milliseconds +[`_cpu.HTMLDocumentParser::FetchQueuedPreloads`](#_cpuhtmldocumentparserfetchqueuedpreloads) | `int` | The CPU time spent on HTML document parser fetch queued preloads in milliseconds +[`_cpu.Idle`](#_cpuidle) | `int` | The CPU time spent on idle in milliseconds +[`_cpu.Layerize`](#_cpulayerize) | `int` | The CPU time spent on layerize in milliseconds +[`_cpu.Layout`](#_cpulayout) | `int` | The CPU time spent on layout in milliseconds +[`_cpu.MarkDOMContent`](#_cpumarkdomcontent) | `int` | The CPU time spent on marking DOM content in milliseconds +[`_cpu.MarkLoad`](#_cpumarkload) | `int` | The CPU time spent on marking load in milliseconds +[`_cpu.Paint`](#_cpupaint) | `int` | The CPU time spent on paint in milliseconds +[`_cpu.ParseHTML`](#_cpuparsehtml) | `int` | The CPU time spent on parsing HTML in milliseconds +[`_cpu.PrePaint`](#_cpuprepaint) | `int` | The CPU time spent on pre-paint in milliseconds +[`_cpu.ResourceFetcher::requestResource`](#_cpuresourcefetcherrequestresource) | `int` | The CPU time spent on resource fetcher request resource in milliseconds +[`_cpu.UpdateLayoutTree`](#_cpuupdatelayouttree) | `int` | The CPU time spent on updating layout tree in milliseconds +[`_cpu.V8.GC_TIME_TO_SAFEPOINT`](#_cpuv8gc_timeto_safepoint) | `int` | The CPU time spent on V8 GC time to safepoint in milliseconds +[`_cpu.largestContentfulPaint::Candidate`](#_cpulargestcontentfulpaintcandidate) | `int` | The CPU time spent on largest contentful paint candidate in milliseconds +[`_cpuTimes`](#_cputimes) | `object` | CPU times +[`_cpuTimesDoc`](#_cputimesdoc) | `object` | CPU times for the document +[`_date`](#_date) | `float` | The date in Unix timestamp format +[`_docTime`](#_doctime) | `int` | The document time in milliseconds +[`_document_URL`](#_document_url) | `string` | The URL of the document +[`_document_hostname`](#_document_hostname) | `string` | The hostname of the document +[`_document_origin`](#_document_origin) | `string` | The origin of the document +[`_domComplete`](#_domcomplete) | `int` | The DOM complete in milliseconds +[`_domContentLoadedEventEnd`](#_domcontentloadedeventend) | `int` | The DOM content loaded event end in milliseconds +[`_domContentLoadedEventStart`](#_domcontentloadedeventstart) | `int` | The DOM content loaded event start in milliseconds +[`_domElements`](#_domelements) | `int` | The number of DOM elements +[`_domInteractive`](#_dominteractive) | `int` | The DOM interactive in milliseconds +[`_domLoading`](#_domloading) | `int` | The DOM loading in milliseconds +[`_domTime`](#_domtime) | `int` | The DOM time in milliseconds +[`_edge-processed`](#_edge-processed) | `boolean` | Whether the page was processed by Edge +[`_effectiveBps`](#_effectivebps) | `int` | The effective BPS +[`_eventName`](#_eventname) | `string` | The event name +[`_execution_contexts`](#_execution_contexts) | `array` | Execution contexts +[`_final_base_page_request`](#_final_base_page_request) | `int` | The final base page request +[`_final_base_page_request_id`](#_final_base_page_request_id) | `string` | The final base page request ID +[`_final_url`](#_final_url) | `string` | The final URL +[`_firstContentfulPaint`](#_firstcontentfulpaint) | `int` | The first contentful paint in milliseconds +[`_firstMeaningfulPaint`](#_firstmeaningfulpaint) | `int` | The first meaningful paint in milliseconds +[`_firstPaint`](#_firstpaint) | `float` | The first paint in milliseconds +[`_fullyLoaded`](#_fullyloaded) | `int` | The fully loaded time in milliseconds +[`_fullyLoadedCPUms`](#_fullyloadedcpums) | `int` | The fully loaded CPU time in milliseconds +[`_fullyLoadedCPUpct`](#_fullyloadedcpupct) | `float` | The fully loaded CPU percentage +[`_gzip_savings`](#_gzip_savings) | `int` | The bytes saved by gzip compression +[`_gzip_total`](#_gzip_total) | `int` | The total bytes in gzip compression +[`_image_savings`](#_image_savings) | `int` | The bytes saved by image compression +[`_image_total`](#_image_total) | `int` | The total bytes in image compression +[`_interactivePeriods`](#_interactiveperiods) | `array` | Interactive periods +[`_largestPaints`](#_largestpaints) | `array` | Largest paints +[`_lastVisualChange`](#_lastvisualchange) | `int` | The time of the last visual change in milliseconds +[`_lighthouse.Accessibility`](#_lighthouseaccessibility) | `float` | The Lighthouse accessibility score +[`_lighthouse.BestPractices`](#_lighthousebestpractices) | `float` | The Lighthouse best practices score +[`_lighthouse.Performance`](#_lighthouseperformance) | `float` | The Lighthouse performance score +[`_lighthouse.Performance.cumulative-layout-shift`](#_lighthouseperformancecumulative-layout-shift) | `int` | The Lighthouse cumulative layout shift +[`_lighthouse.Performance.first-contentful-paint`](#_lighthouseperformancefirst-contentful-paint) | `float` | The Lighthouse first contentful paint +[`_lighthouse.Performance.largest-contentful-paint`](#_lighthouseperformancelargest-contentful-paint) | `float` | The Lighthouse largest contentful paint +[`_lighthouse.Performance.speed-index`](#_lighthouseperformancespeed-index) | `int` | The Lighthouse speed index +[`_lighthouse.Performance.total-blocking-time`](#_lighthouseperformancetotal-blocking-time) | `int` | The Lighthouse total blocking time +[`_lighthouse.SEO`](#_lighthouseseo) | `float` | The Lighthouse SEO score +[`_loadEventEnd`](#_loadeventend) | `int` | The load event end in milliseconds +[`_loadEventStart`](#_loadeventstart) | `int` | The load event start in milliseconds +[`_loadTime`](#_loadtime) | `int` | The load time in milliseconds +[`_main_frame`](#_main_frame) | `string` | The main frame +[`_minify_savings`](#_minify_savings) | `int` | The bytes saved by minification +[`_minify_total`](#_minify_total) | `int` | The total bytes in minification +[`_optimization_checked`](#_optimization_checked) | `int` | Whether optimization checks were performed +[`_origin_dns`](#_origin_dns) | `object` | Origin DNS +[`_osPlatform`](#_osplatform) | `string` | The OS platform +[`_osVersion`](#_osversion) | `string` | The OS version +[`_os_version`](#_os_version) | `string` | The OS version +[`_render`](#_render) | `int` | The render time in milliseconds +[`_renderBlockingCSS`](#_renderblockingcss) | `int` | The render blocking CSS time in milliseconds +[`_renderBlockingJS`](#_renderblockingjs) | `int` | The render blocking JS time in milliseconds +[`_requests`](#_requests) | `int` | The number of requests +[`_requestsDoc`](#_requestsdoc) | `int` | The number of requests in the document +[`_requestsFull`](#_requestsfull) | `int` | The number of full requests +[`_responses_200`](#_responses_200) | `int` | The number of 200 responses +[`_responses_404`](#_responses_404) | `int` | The number of 404 responses +[`_responses_other`](#_responses_other) | `int` | The number of other responses +[`_result`](#_result) | `int` | The result +[`_run`](#_run) | `int` | The run +[`_score_cache`](#_score_cache) | `int` | The cache score +[`_score_cdn`](#_score_cdn) | `int` | The CDN score +[`_score_combine`](#_score_combine) | `int` | The combine score +[`_score_compress`](#_score_compress) | `int` | The compress score +[`_score_cookies`](#_score_cookies) | `int` | The cookies score +[`_score_etags`](#_score_etags) | `int` | The etags score +[`_score_gzip`](#_score_gzip) | `int` | The gzip score +[`_score_keep-alive`](#_score_keep-alive) | `int` | The keep-alive score +[`_score_minify`](#_score_minify) | `int` | The minify score +[`_score_progressive_jpeg`](#_score_progressive_jpeg) | `int` | The progressive JPEG score +[`_server_rtt`](#_server_rtt) | `int` | The server RTT +[`_start_epoch`](#_start_epoch) | `float` | The start epoch in Unix timestamp format +[`_step`](#_step) | `int` | The step +[`_testID`](#_testid) | `string` | The test ID +[`_testStartOffset`](#_teststartoffset) | `int` | The test start offset +[`_testUrl`](#_testurl) | `string` | The test URL +[`_test_run_time_ms`](#_test_run_time_ms) | `int` | The test run time in milliseconds +[`_tester`](#_tester) | `string` | The tester +[`_titleTime`](#_titletime) | `int` | The title time in milliseconds +[`_v8Stats`](#_v8stats) | `object` | V8 stats +[`_viewport`](#_viewport) | `object` | The viewport +[`_visualComplete`](#_visualcomplete) | `int` | The visual complete time in milliseconds +[`_visualComplete85`](#_visualcomplete85) | `int` | The 85th percentile visual complete time in milliseconds +[`_visualComplete90`](#_visualcomplete90) | `int` | The 90th percentile visual complete time in milliseconds +[`_visualComplete95`](#_visualcomplete95) | `int` | The 95th percentile visual complete time in milliseconds +[`_visualComplete99`](#_visualcomplete99) | `int` | The 99th percentile visual complete time in milliseconds +[`id`](#id) | `string` | The page ID +[`pageTimings`](#pagetimings) | `object` | Page timings +[`startedDateTime`](#starteddatetime) | `string` | The start date and time of the page in Unix timestamp format +[`testID`](#testid) | `string` | The test ID +[`title`](#title) | `string` | The page title + +### `_LargestContentfulPaintNodeType` + +The node type of the largest contentful paint + +### `_LargestContentfulPaintType` + +The type of the largest contentful paint + +### `_LastInteractive` + +The time when the page was last interactive in milliseconds + +### `_PerformancePaintTimingfirst-contentful-paint` + +The time when the first contentful paint occurred in milliseconds + +### `_PerformancePaintTimingfirst-paint` + +The time when the first paint occurred in milliseconds + +### `_SpeedIndex` + +The Speed Index score + +### `_TTFB` + +The time to first byte in milliseconds + +### `_TTIMeasurementEnd` + +The time when the TTI measurement ended in milliseconds + +### `_URL` + +The URL of the page + +### `_aft` + +The above-the-fold time in milliseconds + +### `_audit_issues` + +Audit issues + +### `_basePageSSLTime` + +The time spent on SSL for the base page in milliseconds + +### `_base_page_cdn` + +The CDN used for the base page + +### `_base_page_cname` + +The CNAME used for the base page + +### `_base_page_dns_server` + +The DNS server used for the base page + +### `_base_page_ip_ptr` + +The IP PTR used for the base page + +### `_browserVersion` + +The browser version + +### `_browser_name` + +The browser name + +### `_browser_version` + +The browser version + +### `_bytesIn` + +The number of bytes received in + +### `_bytesInDoc` + +The number of bytes received in the document + +### `_bytesOut` + +The number of bytes sent out + +### `_bytesOutDoc` + +The number of bytes sent out in the document + +### `_cached` + +Whether the page was cached + +### `_chromeUserTiming` + +Chrome user timing + +### `_chromeUserTimingCumulativeLayoutShift` + +The cumulative layout shift + +### `_chromeUserTimingLargestContentfulPaint` + +The largest contentful paint + +### `_chromeUserTimingLargestTextPaint` + +The largest text paint + +### `_chromeUserTimingTotalLayoutShift` + +The total layout shift + +### `_chromeUserTimingcommitNavigationEnd` + +The commit navigation end + +### `_chromeUserTimingdomComplete` + +The DOM complete + +### `_chromeUserTimingdomContentLoadedEventEnd` + +The DOM content loaded event end + +### `_chromeUserTimingdomContentLoadedEventStart` + +The DOM content loaded event start + +### `_chromeUserTimingdomInteractive` + +The DOM interactive + +### `_chromeUserTimingdomLoading` + +The DOM loading in milliseconds + +### `_chromeUserTimingfetchStart` + +The fetch start in milliseconds + +### `_chromeUserTimingfirstContentfulPaint` + +The first contentful paint + +### `_chromeUserTimingfirstMeaningfulPaint` + +The first meaningful paint + +### `_chromeUserTimingfirstMeaningfulPaintCandidate` + +The first meaningful paint candidate + +### `_chromeUserTimingfirstPaint` + +The first paint + +### `_chromeUserTimingloadEventEnd` + +The load event end + +### `_chromeUserTimingloadEventStart` + +The load event start + +### `_chromeUserTimingmarkAsMainFrame` + +The mark as main frame + +### `_chromeUserTimingnavigationStart` + +The navigation start + +### `_chromeUserTimingresponseEnd` + +The response end + +### `_chromeUserTimingunloadEventEnd` + +The unload event end + +### `_chromeUserTimingunloadEventStart` + +The unload event start + +### `_connections` + +The number of connections + +### `_consoleLog` + +Console logs + +### `_cpuCommitLoad` + +The CPU time spent on commit load in milliseconds + +### `_cpuEventDispatch` + +The CPU time spent on event dispatch in milliseconds + +### `_cpuFunctionCall` + +The CPU time spent on function call in milliseconds + +### `_cpuHTMLDocumentParserFetchQueuedPreloads` + +The CPU time spent on HTML document parser fetch queued preloads in milliseconds + +### `_cpuIdle` + +The CPU time spent on idle in milliseconds + +### `_cpuLayerize` + +The CPU time spent on layerize in milliseconds + +### `_cpuLayout` + +The CPU time spent on layout in milliseconds + +### `_cpuMarkDOMContent` + +The CPU time spent on marking DOM content in milliseconds + +### `_cpuMarkLoad` + +The CPU time spent on marking load in milliseconds + +### `_cpuPaint` + +The CPU time spent on paint in milliseconds + +### `_cpuParseHTML` + +The CPU time spent on parsing HTML in milliseconds + +### `_cpuPrePaint` + +The CPU time spent on pre-paint in milliseconds + +### `_cpuResourceFetcherrequestResource` + +The CPU time spent on resource fetcher request resource in milliseconds + +### `_cpuUpdateLayoutTree` + +The CPU time spent on updating layout tree in milliseconds + +### `_cpuV8GC_TIMETO_SAFEPOINT` + +The CPU time spent on V8 GC time to safepoint in milliseconds + +### `_cpulargestContentfulPaintCandidate` + +The CPU time spent on largest contentful paint candidate in milliseconds + +### `_cpuTimes` + +CPU times + +### `_cpuTimesDoc` + +CPU times for the document + +### `_date` + +The date in Unix timestamp format + +### `_docTime` + +The document time in milliseconds + +### `_document_URL` + +The URL of the document + +### `_document_hostname` + +The hostname of the document + +### `_document_origin` + +The origin of the document + +### `_domComplete` + +The DOM complete in milliseconds + +### `_domContentLoadedEventEnd` + +The DOM content loaded event end in milliseconds + +### `_domContentLoadedEventStart` + +The DOM content loaded event start in milliseconds + +### `_domElements` + +The number of DOM elements + +### `_domInteractive` + +The DOM interactive in milliseconds + +### `_domLoading` + +The DOM loading in milliseconds + +### `_domTime` + +The DOM time in milliseconds + +### `_edge-processed` + +Whether the page was processed by Edge + +### `_effectiveBps` + +The effective BPS + +### `_eventName` + +The event name + +### `_execution_contexts` + +Execution contexts + +### `_final_base_page_request` + +The final base page request + +### `_final_base_page_request_id` + +The final base page request ID + +### `_final_url` + +The final URL + +### `_firstContentfulPaint` + +The first contentful paint in milliseconds + +### `_firstMeaningfulPaint` + +The first meaningful paint in milliseconds + +### `_firstPaint` + +The first paint in milliseconds + +### `_fullyLoaded` + +The fully loaded time in milliseconds + +### `_fullyLoadedCPUms` + +The fully loaded CPU time in milliseconds + +### `_fullyLoadedCPUpct` + +The fully loaded CPU percentage + +### `_gzip_savings` + +The bytes saved by gzip compression + +### `_gzip_total` + +The total bytes in gzip compression + +### `_image_savings` + +The bytes saved by image compression + +### `_image_total` + +The total bytes in image compression + +### `_interactivePeriods` + +Interactive periods in milliseconds + +### `_largestPaints` + +Largest paints + +### `_lastVisualChange` + +The time of the last visual change in milliseconds + +### `_lighthouseAccessibility` + +The Lighthouse accessibility score + +### `_lighthouseBestPractices` + +The Lighthouse best practices score + +### `_lighthousePerformance` + +The Lighthouse performance score + +### `_lighthousePerformancecumulative-layout-shift` + +The Lighthouse cumulative layout shift + +### `_lighthousePerformancefirst-contentful-paint` + +The Lighthouse first contentful paint + +### `_lighthousePerformancelargest-contentful-paint` + +The Lighthouse largest contentful paint + +### `_lighthousePerformancespeed-index` + +The Lighthouse speed index + +### `_lighthousePerformancetotal-blocking-time` + +The Lighthouse total blocking time + +### `_lighthouseSEO` + +The Lighthouse SEO score + +### `_loadEventEnd` + +The load event end in milliseconds + +### `_loadEventStart` + +The load event start in milliseconds + +### `_loadTime` + +The load time in milliseconds + +### `_main_frame` + +The main frame + +### `_minify_savings` + +The bytes saved by minification + +### `_minify_total` + +The total bytes in minification + +### `_optimization_checked` + +Whether optimization checks were performed + +### `_origin_dns` + +Origin DNS + +### `_osPlatform` + +The OS platform + +### `_osVersion` + +The OS version + +### `_os_version` + +The OS version + +### `_render` + +The render time in milliseconds + +### `_renderBlockingCSS` + +The render blocking CSS time in milliseconds + +### `_renderBlockingJS` + +The render blocking JS time in milliseconds + +### `_requests` + +The number of requests + +### `_requestsDoc` + +The number of requests in the document + +### `_requestsFull` + +The number of full requests + +### `_responses_200` + +The number of 200 responses + +### `_responses_404` + +The number of 404 responses + +### `_responses_other` + +The number of other responses + +### `_result` + +The result code of the test run + +### `_run` + +The run number + +### `_score_cache` + +The cache score + +### `_score_cdn` + +The CDN score + +### `_score_combine` + +The combine score + +### `_score_compress` + +The compress score + +### `_score_cookies` + +The cookies score + +### `_score_etags` + +The etags score + +### `_score_gzip` + +The gzip score + +### `_score_keep-alive` + +The keep-alive score + +### `_score_minify` + +The minify score + +### `_score_progressive_jpeg` + +The progressive JPEG score + +### `_server_rtt` + +The server RTT + +### `_start_epoch` + +The start epoch in Unix timestamp format + +### `_step` + +The step number + +### `_testID` + +The test ID + +### `_testStartOffset` + +The test start offset + +### `_testUrl` + +The test URL + +### `_test_run_time_ms` + +The test run time in milliseconds + +### `_tester` + +The tester + +### `_titleTime` + +The title time in milliseconds + +### `_v8Stats` + +V8 stats + +### `_viewport` + +The viewport dimensions + +### `_visualComplete` + +The visual complete time in milliseconds + +### `_visualComplete85` + +The 85th percentile visual complete time in milliseconds + +### `_visualComplete90` + +The 90th percentile visual complete time in milliseconds + +### `_visualComplete95` + +The 95th percentile visual complete time in milliseconds + +### `_visualComplete99` + +The 99th percentile visual complete time in milliseconds + +### `id` + +The page ID + +### `pageTimings` + +Page timings + +### `startedDateTime` + +The start date and time of the page in Unix timestamp format + +### `testID` + +The test ID + +### `title` + +The page title diff --git a/src/content/docs/reference/structs/page-summary.md b/src/content/docs/reference/structs/page-summary.md index 117cb05..36f1ad4 100644 --- a/src/content/docs/reference/structs/page-summary.md +++ b/src/content/docs/reference/structs/page-summary.md @@ -12,508 +12,342 @@ Here's an example of the decoded object: ```json { - "metadata": "{\"rank\": 500000, \"page_id\": 24036445, \"tested_url\": \"https://www.example.com/\", \"layout\": \"Desktop\", \"crawl_depth\": 0, \"link_depth\": 0, \"root_page_id\": 24036445, \"root_page_url\": \"https://www.example.com/\", \"root_page_test_id\": \"240709_Dx1UR_EB6N1\"}", - "pageid": 24036445, - "createDate": 1720729906, - "startedDateTime": 1720729879, - "archive": "All", - "label": "Jul 1 2024", - "crawlid": 0, - "url": "https://www.example.com/", - "urlhash": 56511, - "urlShort": "https://www.example.com/", - "TTFB": 236, - "renderStart": 400, - "fullyLoaded": 338, - "visualComplete": 400, - "onLoad": 325, - "gzipTotal": 648, - "gzipSavings": 0, - "numDomElements": 12, - "onContentLoaded": 254, - "cdn": "Edgecast", "SpeedIndex": 400, - "PageSpeed": null, + "TTFB": 232, "_connections": 1, - "_adult_site": false, - "avg_dom_depth": 3, - "doctype": "html", - "document_height": 993, - "document_width": 1920, - "localstorage_size": 0, - "sessionstorage_size": 0, - "meta_viewport": "width=device-width, initial-scale=1", - "num_iframes": 0, - "num_scripts": 0, - "num_scripts_sync": 0, - "num_scripts_async": 0, - "usertiming": 0, - "reqTotal": 2, - "bytesTotal": 1296, - "reqJS": 0, - "bytesJS": 0, - "reqImg": 1, - "bytesImg": 648, - "reqJson": 0, - "bytesJson": 0, - "reqCss": 0, + "bytesAudio": 0, "bytesCss": 0, - "reqHtml": 1, - "bytesHtml": 648, - "reqFont": 0, + "bytesFlash": 0, "bytesFont": 0, - "reqOther": 0, - "bytesOther": 0, - "reqAudio": 0, - "bytesAudio": 0, - "reqVideo": 0, - "bytesVideo": 0, - "reqText": 0, - "bytesText": 0, - "reqXml": 0, - "bytesXml": 0, - "reqGif": 0, "bytesGif": 0, - "reqJpg": 0, + "bytesHtml": 648, + "bytesHtmlDoc": 648, + "bytesImg": 648, + "bytesJS": 0, "bytesJpg": 0, - "reqPng": 0, + "bytesJson": 0, + "bytesOther": 0, "bytesPng": 0, - "reqWebp": 0, - "bytesWebp": 0, - "reqSvg": 0, "bytesSvg": 0, - "reqFlash": 0, - "bytesFlash": 0, - "numDomains": 1, - "maxageNull": 0, + "bytesText": 0, + "bytesTotal": 1296, + "bytesVideo": 0, + "bytesWebp": 0, + "bytesXml": 0, + "cdn": "Edgecast", + "crux": { + "collectionPeriod": { + "firstDate": { + "day": 17, + "month": 8, + "year": 2024 + }, + "lastDate": { + "day": 13, + "month": 9, + "year": 2024 + } + }, + "key": { + "formFactor": "DESKTOP", + "url": "https://www.example.com/" + }, + "metrics": { + ... + } + }, + "fullyLoaded": 323, + "gzipSavings": 0, + "gzipTotal": 648, + "maxDomainReqs": 1, "maxage0": 0, "maxage1": 0, "maxage30": 2, "maxage365": 0, "maxageMore": 0, - "bytesHtmlDoc": 648, - "numRedirects": 0, + "maxageNull": 0, + "numCompressed": 2, + "numDomElements": 12, + "numDomains": 1, "numErrors": 1, "numGlibs": 0, "numHttps": 2, - "numCompressed": 2, - "maxDomainReqs": 1, - "wptid": "240709_Dx1UR_EB6N1", - "wptrun": 1, - "rank": 500000 + "numRedirects": 0, + "onContentLoaded": 280, + "onLoad": 320, + "renderStart": 400, + "reqAudio": 0, + "reqCss": 0, + "reqFlash": 0, + "reqFont": 0, + "reqGif": 0, + "reqHtml": 1, + "reqImg": 1, + "reqJS": 0, + "reqJpg": 0, + "reqJson": 0, + "reqOther": 0, + "reqPng": 0, + "reqSvg": 0, + "reqText": 0, + "reqTotal": 2, + "reqVideo": 0, + "reqWebp": 0, + "reqXml": 0, + "visualComplete": 400 } ``` ## Schema -### `metadata` - -Additional metadata about the page. Object is similar to the [`metadata`](/reference/blobs/page-metadata/) field in the `pages` table. - -- #### `metadata.rank` - - The rank magnitude of the origin, which is a measure of relative popularity. - -- #### `metadata.page_id` +### `SpeedIndex` - A unique identifier for the page. +The Speed Index score. -- #### `metadata.tested_url` +### `TTFB` - The actual URL of the page that was intended to be tested. +The time to first byte -- #### `metadata.layout` +### `_connections` - Whether the page was tested in a desktop or mobile environment. Values are `"Desktop"` or `"Mobile"`. +The number of connections. -- #### `metadata.crawl_depth` +### `bytesAudio` - Levels of depth from the root page. HTTP Archive is currently configured to crawl one level into a website, so this value will always be `0` or `1`. +The number of bytes for audio. -- #### `metadata.link_depth` +### `bytesCss` - At a given crawl depth, this value represents the index in the list of pages being tested. Currently, HTTP Archive only crawls one page per level, so this value is always `0`. +The number of bytes for CSS. -- #### `metadata.root_page_id` +### `bytesFlash` - ID of the root page. At crawl depth `0` this is the same as the `page_id` field. +The number of bytes for Flash. -- #### `metadata.root_page_url` +### `bytesFont` - URL of the root page. +The number of bytes for font. -- #### `metadata.root_page_test_id` +### `bytesGif` - WebPageTest ID of the root page. +The number of bytes for GIF. -- #### `metadata.retry_count` +### `bytesHtml` - The number of retries. +The number of bytes for HTML. -- #### `metadata.parent_page_id` +### `bytesHtmlDoc` - ID of the parent page. +The number of bytes for HTML document. -- #### `metadata.parent_page_url` +### `bytesImg` - URL of the parent page. +The number of bytes for image. -- #### `metadata.parent_page_test_id` +### `bytesJS` - WebPageTest ID of the parent page. +The number of bytes for JavaScript. -- #### `metadata.visited` +### `bytesJpg` - A list of URLs visited during the crawl. +The number of bytes for JPG. -### `pageid` +### `bytesJson` -The unique identifier for the page (same as `page_id` in metadata). +The number of bytes for JSON. -### `createDate` +### `bytesOther` -The creation date of the record in Unix timestamp format. +The number of bytes for other. -### `startedDateTime` +### `bytesPng` -The start date and time of the test in Unix timestamp format. +The number of bytes for PNG. -### `archive` +### `bytesSvg` -The archive category (e.g., "All"). +The number of bytes for SVG. -### `label` +### `bytesText` -A label for the test date. +The number of bytes for text. -### `crawlid` +### `bytesTotal` -The crawl identifier. +The total number of bytes. -### `url` +### `bytesVideo` -The URL of the tested page. +The number of bytes for video. -### `urlhash` +### `bytesWebp` -A hash value of the URL. +The number of bytes for WebP. -### `urlShort` +### `bytesXml` -A shortened version of the URL. +The number of bytes for XML. -### `TTFB` +### `cdn` -Time to First Byte in milliseconds. +The Content Delivery Network provider. -### `renderStart` +### `crux` -The time when rendering started in milliseconds. +The crux data. ### `fullyLoaded` -The time when the page was fully loaded in milliseconds. - -### `visualComplete` - -The time when visual loading was complete in milliseconds. - -### `onLoad` - -The time when the onLoad event was triggered in milliseconds. - -### `gzipTotal` - -Total size of compressed data in bytes. +The fully loaded time. ### `gzipSavings` -Bytes saved due to gzip compression. - -### `numDomElements` - -The number of DOM elements. - -### `onContentLoaded` - -The time when the DOMContentLoaded event was triggered in milliseconds. - -### `cdn` - -The Content Delivery Network used. - -### `SpeedIndex` - -The Speed Index score. - -### `PageSpeed` - -The PageSpeed score. - -### `_connections` - -The number of connections made. - -### `_adult_site` - -Boolean indicating if the site is an adult site. - -### `avg_dom_depth` - -Average DOM depth. +The bytes saved due to gzip compression. -### `doctype` +### `gzipTotal` -The document type. +The total bytes in gzip compression. -### `document_height` +### `maxDomainReqs` -The height of the document. +The maximum number of requests to a domain. -### `document_width` +### `maxage0` -The width of the document. +The maximum number of requests with a max-age of 0. -### `localstorage_size` +### `maxage1` -The size of local storage used. +The maximum number of requests with a max-age of 1. -### `sessionstorage_size` +### `maxage30` -The size of session storage used. +The maximum number of requests with a max-age of 30. -### `meta_viewport` +### `maxage365` -The meta viewport tag content. +The maximum number of requests with a max-age of 365. -### `num_iframes` +### `maxageMore` -The number of iframes. +The maximum number of requests with a max-age greater than 365. -### `num_scripts` +### `maxageNull` -The number of script tags. +The maximum number of requests with a max-age of null. -### `num_scripts_sync` +### `numCompressed` -The number of synchronous scripts. +The number of compressed files. -### `num_scripts_async` +### `numDomElements` -The number of asynchronous scripts. +The number of DOM elements. -### `usertiming` +### `numDomains` -User timing data. +The number of domains. -### `reqTotal` +### `numErrors` -Total number of requests made. +The number of errors. -### `bytesTotal` +### `numGlibs` -Total bytes transferred. +The number of glibs. -### `reqJS` +### `numHttps` -Number of JavaScript requests. +The number of HTTPS requests. -### `bytesJS` +### `numRedirects` -Bytes transferred for JavaScript. +The number of redirects. -### `reqImg` +### `onContentLoaded` -Number of image requests. +The onContentLoaded time. -### `bytesImg` +### `onLoad` -Bytes transferred for images. +The onLoad time. -### `reqJson` +### `renderStart` -Number of JSON requests. +The renderStart time. -### `bytesJson` +### `reqAudio` -Bytes transferred for JSON. +The number of bytes for audio. ### `reqCss` -Number of CSS requests. - -### `bytesCss` - -Bytes transferred for CSS. - -### `reqHtml` +The number of bytes for CSS. -Number of HTML requests. - -### `bytesHtml` +### `reqFlash` -Bytes transferred for HTML. +The number of bytes for Flash. ### `reqFont` -Number of font requests. - -### `bytesFont` - -Bytes transferred for fonts. - -### `reqOther` - -Number of other types of requests. - -### `bytesOther` - -Bytes transferred for other types of requests. - -### `reqAudio` - -Number of audio requests. - -### `bytesAudio` - -Bytes transferred for audio. - -### `reqVideo` - -Number of video requests. - -### `bytesVideo` - -Bytes transferred for video. - -### `reqText` - -Number of text requests. - -### `bytesText` - -Bytes transferred for text. - -### `reqXml` - -Number of XML requests. - -### `bytesXml` - -Bytes transferred for XML. +The number of bytes for font. ### `reqGif` -Number of GIF requests. +The number of bytes for GIF. -### `bytesGif` +### `reqHtml` -Bytes transferred for GIFs. +The number of bytes for HTML. -### `reqJpg` +### `reqImg` -Number of JPG requests. +The number of bytes for image. -### `bytesJpg` +### `reqJS` -Bytes transferred for JPGs. +The number of bytes for JavaScript. -### `reqPng` +### `reqJpg` -Number of PNG requests. +The number of bytes for JPG. -### `bytesPng` +### `reqJson` -Bytes transferred for PNGs. +The number of bytes for JSON. -### `reqWebp` +### `reqOther` -Number of WebP requests. +The number of bytes for other. -### `bytesWebp` +### `reqPng` -Bytes transferred for WebP. +The number of bytes for PNG. ### `reqSvg` -Number of SVG requests. - -### `bytesSvg` - -Bytes transferred for SVG. - -### `reqFlash` - -Number of Flash requests. - -### `bytesFlash` - -Bytes transferred for Flash. - -### `numDomains` - -Number of unique domains. - -### `maxageNull` - -Number of resources with no max-age set. - -### `maxage0` +The number of bytes for SVG. -Number of resources with max-age 0. - -### `maxage1` - -Number of resources with max-age 1 day. - -### `maxage30` - -Number of resources with max-age 30 days. - -### `maxage365` - -Number of resources with max-age 365 days. - -### `maxageMore` - -Number of resources with max-age more than 365 days. - -### `bytesHtmlDoc` - -Bytes transferred for the HTML document. - -### `numRedirects` - -Number of redirects. - -### `numErrors` - -Number of errors. - -### `numGlibs` - -Number of GLib issues. - -### `numHttps` +### `reqText` -Number of HTTPS requests. +The number of bytes for text. -### `numCompressed` +### `reqTotal` -Number of compressed requests. +The total number of bytes for requests. -### `maxDomainReqs` +### `reqVideo` -Maximum number of requests to a single domain. +The number of bytes for video. -### `wptid` +### `reqWebp` -WebPageTest ID. +The number of bytes for WebP. -### `wptrun` +### `reqXml` -WebPageTest run number. +The number of bytes for XML. -### `rank` +### `visualComplete` -The rank magnitude of the origin, which is a measure of relative popularity. +The visualComplete time. diff --git a/src/content/docs/reference/structs/request-payload.md b/src/content/docs/reference/structs/request-payload.md index e03fd94..54607d1 100644 --- a/src/content/docs/reference/structs/request-payload.md +++ b/src/content/docs/reference/structs/request-payload.md @@ -14,198 +14,36 @@ Here's an example of the decoded object: ```json { - "pageref": "page_1_0_1", - "_run": 1, - "_cached": 0, - "startedDateTime": "2024-07-12T12:44:30.448119", - "time": 1080, - "request": { - "method": "GET", - "url": "https://www.example.com/", - "headersSize": 705, - "bodySize": -1, - "cookies": [], - "headers": [ - { - "name": "accept", - "value": "text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.7" - } - ], - "httpVersion": "HTTP/2", - "queryString": [] - }, - "response": { - "status": 200, - "statusText": "", - "headersSize": 354, - "bodySize": 648, - "headers": [ - { - "name": "age", - "value": "297291" - } - ], - "httpVersion": "HTTP/2", - "content": { - "size": 648, - "mimeType": "text/html" - }, - "cookies": [] - }, - "cache": {}, - "timings": { - "blocked": 172, - "dns": 182, - "connect": 539, - "ssl": 363, - "send": 0, - "wait": 186, - "receive": 1 - }, - "_type": 3, - "_id": "091B5FD213B68B9F34A44A6D463C118C", - "_request_id": "091B5FD213B68B9F34A44A6D463C118C", - "_ip_addr": "93.184.215.14", - "_full_url": "https://www.example.com/", - "_is_secure": 1, - "_method": "GET", - "_host": "www.example.com", - "_url": "/", - "_raw_id": "091B5FD213B68B9F34A44A6D463C118C", - "_frame_id": "1D859F37F34AE0AAA923D0A54914BBEB", - "_documentURL": "https://www.example.com/", - "_responseCode": 200, - "_request_type": "Document", - "_load_ms": 187, - "_ttfb_ms": 186, - "_load_start": 723, - "_load_start_float": 723.000078, + "_all_end": 234, + "_all_ms": 233, + "_all_start": 1, + "_body_file": "001-44714C6F6C72B045136D19CA9894886A-body.txt", + "_body_hash": "ea8fac7c65fb589b0d53560f5251f74f9e9b243478dcb6b3ea79b5e36449c8d9", "_bytesIn": 648, - "_objectSize": 648, - "_objectSizeUncompressed": 1256, + "_bytesOut": 2143, + "_cacheControl": "max-age=604800", + "_cache_time": null, + "_cached": 0, + "_cdn_provider": "Edgecast", + "_certificates": [ + "-----BEGIN CERTIFICATE-----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\nFfnzxLutUV++3seshgefQOy5C/ayi8y1VTNmujPCxPCi6Q==\n-----END CERTIFICATE-----\n", + "-----BEGIN CERTIFICATE-----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\nJCqVJUzKoZHm1Lesh3Sz8W2jmdv51b2EQJ8HmA==\n-----END CERTIFICATE-----\n" + ], "_chunks": [ { - "ts": 909, "bytes": 648, - "inflated": 1256 + "inflated": 1256, + "ts": 234 } ], - "_expires": "Fri, 19 Jul 2024 12:44:31 GMT", - "_cacheControl": "max-age=604800", - "_contentType": "text/html", + "_connect_end": 93, + "_connect_ms": 33, + "_connect_start": 60, "_contentEncoding": "gzip", - "_socket": 91, - "_protocol": "HTTP/2", - "_dns_start": 1, - "_dns_end": 183, - "_connect_start": 183, - "_connect_end": 359, - "_ssl_start": 359, - "_ssl_end": 722, - "_securityDetails": { - "protocol": "TLS 1.3", - "keyExchange": "", - "keyExchangeGroup": "P-256", - "cipher": "AES_256_GCM", - "certificateId": 0, - "subjectName": "www.example.org", - "sanList": [ - "www.example.org" - ], - "issuer": "DigiCert Global G2 TLS RSA SHA256 2020 CA1", - "validFrom": 1706572800, - "validTo": 1740873599, - "signedCertificateTimestampList": [ - { - "status": "Verified", - "origin": "Embedded in certificate", - "logDescription": "Google 'Argon2025h1' log", - "logId": "4E75A3275C9A10C3385B6CD4DF3F52EB1DF0E08E1B8D69C0B1FA64B1629A39DF", - "timestamp": 1706642570340, - "hashAlgorithm": "SHA-256", - "signatureAlgorithm": "ECDSA", - "signatureData": "3043021F40510A0C4F6C1055C61716676E9AF0909EF373F5259EB09AFE7A1AC55CC8C00220382931B128E472484D344F9E8C93E261BC70BAD68C4BE172151D11C594BA4D53" - } - ], - "certificateTransparencyCompliance": "compliant", - "serverSignatureAlgorithm": 2052, - "encryptedClientHello": false - }, - "_initiator": "", - "_initiator_line": "", - "_initiator_column": "", - "_initiator_type": "script", - "_priority": "Highest", - "_initial_priority": "Highest", - "_server_rtt": null, - "_headers": { - "request": [ - ":authority: www.example.com", - ":method: GET", - ":path: /", - ":scheme: https", - "accept: text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.7", - "accept-encoding: gzip, deflate, br, zstd", - "accept-language: en-US,en;q=0.9", - "priority: u=0, i", - "sec-ch-ua: \" Not A;Brand\";v=\"99\", \"Chromium\";v=\"126\", \"Google Chrome\";v=\"126\"", - "sec-ch-ua-mobile: ?1", - "sec-ch-ua-platform: \"Android\"", - "sec-fetch-dest: document", - "sec-fetch-mode: navigate", - "sec-fetch-site: cross-site", - "upgrade-insecure-requests: 1", - "user-agent: Mozilla/5.0 (Linux; Android 8.1.0; Moto G (4)) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/126.0.0.0 Mobile Safari/537.36 PTST/240709.152506" - ], - "response": [ - "age: 297291", - "cache-control: max-age=604800", - "content-encoding: gzip", - "content-length: 648", - "content-type: text/html; charset=UTF-8", - "date: Fri, 12 Jul 2024 12:44:31 GMT", - "etag: \"3147526947+gzip\"", - "expires: Fri, 19 Jul 2024 12:44:31 GMT", - "last-modified: Thu, 17 Oct 2019 07:18:26 GMT", - "server: ECAcc (lac/55D2)", - "vary: Accept-Encoding", - "x-cache: HIT", - ":status: 200" - ] - }, - "_bytesOut": 2209, - "_score_cache": -1, - "_score_cdn": 100, - "_score_gzip": 100, - "_score_cookies": -1, - "_score_keep-alive": 100, - "_score_minify": -1, - "_score_combine": -1, - "_score_compress": -1, - "_score_etags": -1, - "_dns_ms": 182, - "_connect_ms": 176, - "_ssl_ms": 363, - "_gzip_total": 648, - "_gzip_save": 0, - "_minify_total": null, - "_minify_save": null, - "_image_total": null, - "_image_save": null, - "_cache_time": null, - "_cdn_provider": "Edgecast", - "_server_count": null, - "_created": 11, + "_contentType": "text/html", + "_created": 8, + "_dns_end": 60, "_dns_info": { - "secure": false, - "transactions_needed": [ - { - "dns_query_type": "A" - }, - { - "dns_query_type": "HTTPS" - } - ], "results": { "aliases": [ "www.example.com" @@ -214,7 +52,7 @@ Here's an example of the decoded object: "www.example.com" ], "endpoint_metadatas": [], - "expiration": "13365194235802105", + "expiration": "13370780176732624", "host_ports": [], "hostname_results": [], "ip_endpoints": [ @@ -224,638 +62,721 @@ Here's an example of the decoded object: } ], "text_records": [] - } + }, + "secure": false, + "transactions_needed": [ + { + "dns_query_type": "A" + }, + { + "dns_query_type": "HTTPS" + } + ] }, - "_socket_group": "https://www.example.com ", - "_http2_stream_id": 1, - "_http2_stream_dependency": 0, - "_http2_stream_weight": 256, - "_http2_stream_exclusive": 1, + "_dns_ms": 59, + "_dns_start": 1, + "_documentURL": "https://www.example.com/", + "_download_end": 234, + "_download_ms": 2, + "_download_start": 232, + "_expires": "Sun, 22 Sep 2024 03:21:43 GMT", + "_final_base_page": true, + "_frame_id": "E021D0149DE3689992ECE4DF4B0ECA38", + "_full_url": "https://www.example.com/", + "_gzip_save": 0, + "_gzip_total": 648, + "_host": "www.example.com", "_http2_server_settings": { - "SETTINGS_MAX_HEADER_LIST_SIZE": 16384, - "SETTINGS_MAX_FRAME_SIZE": 16384, + "SETTINGS_DEPRECATE_HTTP2_PRIORITIES": 0, + "SETTINGS_ENABLE_PUSH": 0, + "SETTINGS_HEADER_TABLE_SIZE": 4096, "SETTINGS_INITIAL_WINDOW_SIZE": 1048576, "SETTINGS_MAX_CONCURRENT_STREAMS": 100, - "SETTINGS_HEADER_TABLE_SIZE": 4096, - "SETTINGS_DEPRECATE_HTTP2_PRIORITIES": 0, - "SETTINGS_ENABLE_PUSH": 0 + "SETTINGS_MAX_FRAME_SIZE": 16384, + "SETTINGS_MAX_HEADER_LIST_SIZE": 16384 }, - "_tls_version": "TLS 1.3", - "_tls_resumed": "False", - "_tls_next_proto": "h2", - "_tls_cipher_suite": 4866, - "_netlog_id": 78, - "_certificates": [ - "-----BEGIN CERTIFICATE-----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\nFfnzxLutUV++3seshgefQOy5C/ayi8y1VTNmujPCxPCi6Q==\n-----END CERTIFICATE-----\n" - ], - "_server_port": "443", - "_final_base_page": true, - "_is_base_page": true, - "_load_end": 910, - "_ttfb_start": 723, - "_ttfb_end": 909, - "_download_start": 909, - "_download_end": 910, - "_download_ms": 1, - "_all_start": 1, - "_all_end": 910, - "_all_ms": 908, + "_http2_stream_dependency": 0, + "_http2_stream_exclusive": 1, + "_http2_stream_id": 1, + "_http2_stream_weight": 256, + "_id": "44714C6F6C72B045136D19CA9894886A", + "_image_save": null, + "_image_total": null, "_index": 0, + "_initial_priority": "Highest", + "_initiator": "", + "_initiator_column": "", + "_initiator_line": "", + "_initiator_type": "script", + "_ip_addr": "93.184.215.14", + "_is_base_page": true, + "_is_secure": 1, + "_load_end": 234, + "_load_ms": 43, + "_load_start": 191, + "_load_start_float": 191.000079, + "_method": "GET", + "_minify_save": null, + "_minify_total": null, + "_netlog_id": 79, "_number": 1, - "_body_file": "001-091B5FD213B68B9F34A44A6D463C118C-body.txt" + "_objectSize": 648, + "_objectSizeUncompressed": 1256, + "_priority": "Highest", + "_protocol": "HTTP/2", + "_raw_id": "44714C6F6C72B045136D19CA9894886A", + "_request_id": "44714C6F6C72B045136D19CA9894886A", + "_request_type": "Document", + "_responseCode": 200, + "_run": 1, + "_score_cache": -1, + "_score_cdn": 100, + "_score_combine": -1, + "_score_compress": -1, + "_score_cookies": -1, + "_score_etags": -1, + "_score_gzip": 100, + "_score_keep-alive": 100, + "_score_minify": -1, + "_securityDetails": { + "certificateId": 0, + "certificateTransparencyCompliance": "compliant", + "cipher": "AES_256_GCM", + "encryptedClientHello": false, + "issuer": "DigiCert Global G2 TLS RSA SHA256 2020 CA1", + "keyExchange": "", + "keyExchangeGroup": "P-256", + "protocol": "TLS 1.3", + "sanList": [ + "www.example.org", + "example.net", + "example.edu", + "example.com", + "example.org", + "www.example.com", + "www.example.edu", + "www.example.net" + ], + "serverSignatureAlgorithm": 2052, + "signedCertificateTimestampList": [ + { + "hashAlgorithm": "SHA-256", + "logDescription": "Google 'Argon2025h1' log", + "logId": "4E75A3275C9A10C3385B6CD4DF3F52EB1DF0E08E1B8D69C0B1FA64B1629A39DF", + "origin": "Embedded in certificate", + "signatureAlgorithm": "ECDSA", + "signatureData": "3043021F40510A0C4F6C1055C61716676E9AF0909EF373F5259EB09AFE7A1AC55CC8C00220382931B128E472484D344F9E8C93E261BC70BAD68C4BE172151D11C594BA4D53", + "status": "Verified", + "timestamp": 1706642570340 + }, + { + "hashAlgorithm": "SHA-256", + "logDescription": "DigiCert Yeti2025 Log", + "logId": "7D591E12E1782A7B1C61677C5EFDF8D0875C14A04E959EB9032FD90E8C2E79B8", + "origin": "Embedded in certificate", + "signatureAlgorithm": "ECDSA", + "signatureData": "304502205DBF9677A5915B7E0A0CDED1A909333767104C42CC414527534BA77C77634073022100B2E8093F664CC37D3B21732015793245D52F2B937F6380CC039AEDDF31D87E97", + "status": "Verified", + "timestamp": 1706642570288 + }, + { + "hashAlgorithm": "SHA-256", + "logDescription": "DigiCert Nessie2025 Log", + "logId": "E6D2316340778CC1104106D771B9CEC1D240F6968486FBBA87321DFD1E378E50", + "origin": "Embedded in certificate", + "signatureAlgorithm": "ECDSA", + "signatureData": "3046022100E0AA21FD58B3750535B636761365468164975E4C2742689886601E29C54B1DE0022100FB248185B1D1A897B92CB36A5EE2562B0A03D573E886664BAA9E3DBA86A86BD1", + "status": "Verified", + "timestamp": 1706642570335 + } + ], + "subjectName": "www.example.org", + "validFrom": 1706572800, + "validTo": 1740873599 + }, + "_server_count": null, + "_server_port": "443", + "_server_rtt": null, + "_socket": 86, + "_socket_group": "https://www.example.com ", + "_ssl_end": 191, + "_ssl_ms": 98, + "_ssl_start": 93, + "_tls_cipher_suite": 4866, + "_tls_next_proto": "h2", + "_tls_resumed": "False", + "_tls_version": "TLS 1.3", + "_ttfb_end": 232, + "_ttfb_ms": 41, + "_ttfb_start": 191, + "_type": 3, + "_url": "/", + "cache": {}, + "pageref": "page_1_0_1", + "request": { + "bodySize": -1, + "cookies": [], + "headersSize": 683, + "httpVersion": "HTTP/2", + "method": "GET", + "queryString": [], + "url": "https://www.example.com/" + }, + "response": { + "bodySize": 648, + "content": { + "mimeType": "text/html", + "size": 648 + }, + "cookies": [], + "headersSize": 376, + "httpVersion": "HTTP/2", + "status": 200, + "statusText": "" + }, + "startedDateTime": "2024-09-15T03:21:43.105962", + "time": 285, + "timings": { + "blocked": 52, + "connect": 131, + "dns": 59, + "receive": 2, + "send": 0, + "ssl": 98, + "wait": 41 + } } ``` ## Schema -Field | Type | Description --- | -- | -- -`pageref` | `string` | Reference to the page containing this request. -`_run` | `int` | The run number of the test. -`_cached` | `int` | Indicates if the request was cached (0 or 1). -`startedDateTime` | `string` | Start time of the request. -`time` | `int` | Total time taken for the request in milliseconds. -`request` | `object` | Details of the request. -`request.method` | `string` | HTTP method used for the request. -`request.url` | `string` | URL of the requested resource. -`request.headersSize` | `int` | Size of the request headers. -`request.bodySize` | `int` | Size of the request body. -`request.cookies` | `array` | Cookies sent with the request. -`request.headers` | `array` | Headers sent with the request. -`request.headers[].name` | `string` | Header name. -`request.headers[].value` | `string` | Header value. -`request.httpVersion` | `string` | HTTP version used for the request. -`request.queryString` | `array` | Query string parameters. -`response` | `object` | Details of the response. -`response.status` | `int` | HTTP response status code. -`response.statusText` | `string` | Status text of the response. -`response.headersSize` | `int` | Size of the response headers. -`response.bodySize` | `int` | Size of the response body. -`response.headers` | `array` | Headers sent with the response. -`response.headers[].name` | `string` | Header name. -`response.headers[].value` | `string` | Header value. -`response.httpVersion` | `string` | HTTP version used for the response. -`response.content` | `object` | Content details of the response. -`response.content.size` | `int` | Size of the content. -`response.content.mimeType` | `string` | MIME type of the content. -`response.cookies` | `array` | Cookies received with the response. -`cache` | `object` | Cache details (empty in this example). -`timings` | `object` | Timing details of various stages of the request. -`timings.blocked` | `int` | Time spent in blocking. -`timings.dns` | `int` | Time spent in DNS lookup. -`timings.connect` | `int` | Time spent in establishing a connection. -`timings.ssl` | `int` | Time spent in SSL handshake. -`timings.send` | `int` | Time spent in sending the request. -`timings.wait` | `int` | Time spent in waiting for the response. -`timings.receive` | `int` | Time spent in receiving the response. -`_type` | `int` | Type identifier for the request. -`_id` | `string` | Unique identifier for the request. -`_request_id` | `string` | Identifier for the original request. -`_ip_addr` | `string` | IP address of the requested server. -`_full_url` | `string` | Full URL of the request. -`_is_secure` | `int` | Indicates if the request is secure (0 or 1). -`_method` | `string` | HTTP method used for the request. -`_host` | `string` | Host of the request. -`_url` | `string` | URL path of the request. -`_raw_id` | `string` | Raw ID for the request. -`_frame_id` | `string` | Frame ID where the request was made. -`_documentURL` | `string` | Document URL of the request. -`_responseCode` | `int` | HTTP response code. -`_request_type` | `string` | Type of the request (e.g., Document). -`_load_ms` | `int` | Load time in milliseconds. -`_ttfb_ms` | `int` | Time to first byte in milliseconds. -`_load_start` | `int` | Start time of load in milliseconds. -`_load_start_float` | `float` | Precise start time of load. -`_bytesIn` | `int` | Number of bytes received. -`_objectSize` | `int` | Size of the object received. -`_objectSizeUncompressed` | `int` | Uncompressed size of the object received. -`_chunks` | `array` | Array of chunks received. -`_chunks[].ts` | `int` | Timestamp of the chunk. -`_chunks[].bytes` | `int` | Size of the chunk. -`_chunks[].inflated` | `int` | Size of the inflated chunk. -`_expires` | `string` | Expiry date of the request. -`_cacheControl` | `string` | Cache control header value. -`_contentType` | `string` | Content type of the response. -`_contentEncoding` | `string` | Content encoding of the response. -`_socket` | `int` | Socket used for the request. -`_protocol` | `string` | Protocol used for the request. -`_dns_start` | `int` | DNS start time. -`_dns_end` | `int` | DNS end time. -`_connect_start` | `int` | Connection start time. -`_connect_end` | `int` | Connection end time. -`_ssl_start` | `int` | SSL handshake start time. -`_ssl_end` | `int` | SSL handshake end time. -`_securityDetails` | `object` | Security details of the request. -`_securityDetails.protocol` | `string` | Security protocol used. -`_securityDetails.keyExchange` | `string` | Key exchange used. -`_securityDetails.keyExchangeGroup` | `string` | Key exchange group used. -`_securityDetails.cipher` | `string` | Cipher used. -`_securityDetails.certificateId` | `int` | Certificate ID. -`_securityDetails.subjectName` | `string` | Subject name of the certificate. -`_securityDetails.sanList` | `array` | Subject alternative names. -`_securityDetails.issuer` | `string` | Issuer of the certificate. -`_securityDetails.validFrom` | `int` | Valid from date of the certificate. -`_securityDetails.validTo` | `int` | Valid to date of the certificate. -`_securityDetails.signedCertificateTimestampList` | `array` | List of signed certificate timestamps. -`_securityDetails.certificateTransparencyCompliance` | `string` | Certificate transparency compliance. -`_securityDetails.serverSignatureAlgorithm` | `int` | Server signature algorithm. -`_securityDetails.encryptedClientHello` | `int` | Indicates if the client hello is encrypted. -`_initiator` | `string` | Initiator of the request. -`_initiator_line` | `string` | Line number of the initiator. -`_initiator_column` | `string` | Column number of the initiator. -`_initiator_type` | `string` | Type of initiator (e.g., script). -`_priority` | `string` | Priority of the request. -`_initial_priority` | `string` | Initial priority of the request. -`_server_rtt` | `int` | Server round-trip time. -`_headers` | `object` | Headers for the request and response. -`_headers.request` | `array` | Request headers. -`_headers.response` | `array` | Response headers. -`_bytesOut` | `int` | Number of bytes sent. -`_score_cache` | `int` | Cache score. -`_score_cdn` | `int` | CDN score. -`_score_gzip` | `int` | Gzip compression score. -`_score_cookies` | `int` | Cookies score. -`_score_keep-alive` | `int` | Keep-alive score. -`_score_minify` | `int` | Minification score. -`_score_combine` | `int` | Combine score. -`_score_compress` | `int` | Compression score. -`_score_etags` | `int` | ETags score. -`_dns_ms` | `int` | DNS lookup time in milliseconds. -`_connect_ms` | `int` | Connection time in milliseconds. -`_ssl_ms` | `int` | SSL handshake time in milliseconds. -`_gzip_total` | `int` | Total size of the gzip-compressed content. -`_gzip_save` | `int` | Size saved due to gzip compression. -`_minify_total` | `int` | Total size of minified content. -`_minify_save` | `int` | Size saved due to minification. -`_image_total` | `int` | Total size of images. -`_image_save` | `int` | Size saved due to image optimization. -`_cache_time` | `int` | Cache time. -`_cdn_provider` | `string` | CDN provider used. -`_server_count` | `int` | Number of servers used. -`_created` | `int` | Creation time of the request. -`_dns_info` | `object` | DNS information. -`_dns_info.secure` | `int` | Indicates if the DNS query is secure. -`_dns_info.transactions_needed` | `array` | Transactions needed for DNS query. -`_dns_info.transactions_needed[].dns_query_type` | `string` | Type of DNS query. -`_dns_info.results` | `object` | Results of the DNS query. -`_dns_info.results.aliases` | `array` | Aliases for the domain. -`_dns_info.results.canonical_names` | `array` | Canonical names for the domain. -`_dns_info.results.endpoint_metadatas` | `array` | Endpoint metadata. -`_dns_info.results.expiration` | `string` | Expiration date of the DNS query. -`_dns_info.results.host_ports` | `array` | Host ports. -`_dns_info.results.hostname_results` | `array` | Hostname results. -`_dns_info.results.ip_endpoints` | `array` | IP endpoints. -`_dns_info.results.ip_endpoints[].endpoint_address` | `string` | IP address of the endpoint. -`_dns_info.results.ip_endpoints[].endpoint_port` | `int` | Port of the endpoint. -`_dns_info.results.text_records` | `array` | Text records. -`_socket_group` | `string` | Socket group. -`_http2_stream_id` | `int` | HTTP/2 stream ID. -`_http2_stream_dependency` | `int` | HTTP/2 stream dependency. -`_http2_stream_weight` | `int` | HTTP/2 stream weight. -`_http2_stream_exclusive` | `int` | HTTP/2 stream exclusivity. -`_http2_server_settings` | `object` | HTTP/2 server settings. -`_tls_version` | `string` | TLS version used. -`_tls_resumed` | `string` | Indicates if the TLS session was resumed. -`_tls_next_proto` | `string` | Next protocol used. -`_tls_cipher_suite` | `int` | Cipher suite used. -`_netlog_id` | `int` | Netlog ID. -`_certificates` | `array` | Certificates used. -`_server_port` | `string` | Server port. -`_final_base_page` | `int` | Indicates if the request is the final base page. -`_is_base_page` | `int` | Indicates if the request is the base page. -`_load_end` | `int` | Load end time. -`_ttfb_start` | `int` | Time to first byte start time. -`_ttfb_end` | `int` | Time to first byte end time. -`_download_start` | `int` | Download start time. -`_download_end` | `int` | Download end time. -`_download_ms` | `int` | Download time in milliseconds. -`_all_start` | `int` | Start time of all operations. -`_all_end` | `int` | End time of all operations. -`_all_ms` | `int` | Total time taken for all operations. -`_index` | `int` | Index of the request. -`_number` | `int` | Number of the request. -`_body_file` | `string` | File containing the body of the request. - -### `pageref` - -Reference to the page containing this request. - -### `_run` - -The run number of the test. - -### `_cached` - -Indicates if the request was cached (0 or 1). - -### `startedDateTime` - -Start time of the request. - -### `time` - -Total time taken for the request in milliseconds. - -### `request` - -Details of the request. - -- #### `request.method` - - HTTP method used for the request. - -- #### `request.url` - - URL of the requested resource. - -- #### `request.headersSize` - - Size of the request headers. - -- #### `request.bodySize` - - Size of the request body. - -- #### `request.cookies` - - Cookies sent with the request. - -- #### `request.headers` +| Field | Type | Description | +| ---------------------------------------------------- | -------- | ------------------------------------------------- | +| `_all_end` | `int` | End time of all operations. | +| `_all_ms` | `int` | Total time taken for all operations. | +| `_all_start` | `int` | Start time of all operations. | +| `_body_file` | `string` | File containing the body of the request. | +| `_bytesIn` | `int` | Number of bytes received. | +| `_bytesOut` | `int` | Number of bytes sent. | +| `_cache_time` | `int` | Cache time. | +| `_cacheControl` | `string` | Cache control header value. | +| `_cached` | `int` | Indicates if the request was cached (0 or 1). | +| `_cdn_provider` | `string` | CDN provider used. | +| `_certificates` | `array` | Certificates used. | +| `_chunks` | `array` | Array of chunks received. | +| `_chunks[].bytes` | `int` | Size of the chunk. | +| `_chunks[].inflated` | `int` | Size of the inflated chunk. | +| `_chunks[].ts` | `int` | Timestamp of the chunk. | +| `_connect_end` | `int` | Connection end time. | +| `_connect_ms` | `int` | Connection time in milliseconds. | +| `_connect_start` | `int` | Connection start time. | +| `_contentEncoding` | `string` | Content encoding of the response. | +| `_contentType` | `string` | Content type of the response. | +| `_created` | `int` | Creation time of the request. | +| `_dns_end` | `int` | DNS end time. | +| `_dns_info` | `object` | DNS information. | +| `_dns_info.results.aliases` | `array` | Aliases for the domain. | +| `_dns_info.results.canonical_names` | `array` | Canonical names for the domain. | +| `_dns_info.results.endpoint_metadatas` | `array` | Endpoint metadata. | +| `_dns_info.results.expiration` | `string` | Expiration date of the DNS query. | +| `_dns_info.results.host_ports` | `array` | Host ports. | +| `_dns_info.results.hostname_results` | `array` | Hostname results. | +| `_dns_info.results.ip_endpoints[].endpoint_address` | `string` | IP address of the endpoint. | +| `_dns_info.results.ip_endpoints[].endpoint_port` | `int` | Port of the endpoint. | +| `_dns_info.results.ip_endpoints` | `array` | IP endpoints. | +| `_dns_info.results.text_records` | `array` | Text records. | +| `_dns_info.results` | `object` | Results of the DNS query. | +| `_dns_info.secure` | `int` | Indicates if the DNS query is secure. | +| `_dns_info.transactions_needed[].dns_query_type` | `string` | Type of DNS query. | +| `_dns_info.transactions_needed` | `array` | Transactions needed for DNS query. | +| `_dns_ms` | `int` | DNS lookup time in milliseconds. | +| `_dns_start` | `int` | DNS start time. | +| `_documentURL` | `string` | Document URL of the request. | +| `_download_end` | `int` | Download end time. | +| `_download_ms` | `int` | Download time in milliseconds. | +| `_download_start` | `int` | Download start time. | +| `_expires` | `string` | Expiry date of the request. | +| `_final_base_page` | `int` | Indicates if the request is the final base page. | +| `_frame_id` | `string` | Frame ID where the request was made. | +| `_full_url` | `string` | Full URL of the request. | +| `_gzip_save` | `int` | Size saved due to gzip compression. | +| `_gzip_total` | `int` | Total size of the gzip-compressed content. | +| `_host` | `string` | Host of the request. | +| `_http2_server_settings` | `object` | HTTP/2 server settings. | +| `_http2_stream_dependency` | `int` | HTTP/2 stream dependency. | +| `_http2_stream_exclusive` | `int` | HTTP/2 stream exclusivity. | +| `_http2_stream_id` | `int` | HTTP/2 stream ID. | +| `_http2_stream_weight` | `int` | HTTP/2 stream weight. | +| `_id` | `string` | Unique identifier for the request. | +| `_image_save` | `int` | Size saved due to image optimization. | +| `_image_total` | `int` | Total size of images. | +| `_index` | `int` | Index of the request. | +| `_initial_priority` | `string` | Initial priority of the request. | +| `_initiator_column` | `string` | Column number of the initiator. | +| `_initiator_line` | `string` | Line number of the initiator. | +| `_initiator_type` | `string` | Type of initiator (e.g., script). | +| `_initiator` | `string` | Initiator of the request. | +| `_ip_addr` | `string` | IP address of the requested server. | +| `_is_base_page` | `int` | Indicates if the request is the base page. | +| `_is_secure` | `int` | Indicates if the request is secure (0 or 1). | +| `_load_end` | `int` | Load end time. | +| `_load_ms` | `int` | Load time in milliseconds. | +| `_load_start_float` | `float` | Precise start time of load. | +| `_load_start` | `int` | Start time of load in milliseconds. | +| `_method` | `string` | HTTP method used for the request. | +| `_minify_save` | `int` | Size saved due to minification. | +| `_minify_total` | `int` | Total size of minified content. | +| `_netlog_id` | `int` | Netlog ID. | +| `_number` | `int` | Number of the request. | +| `_objectSize` | `int` | Size of the object received. | +| `_objectSizeUncompressed` | `int` | Uncompressed size of the object received. | +| `_priority` | `string` | Priority of the request. | +| `_protocol` | `string` | Protocol used for the request. | +| `_raw_id` | `string` | Raw ID for the request. | +| `_request_id` | `string` | Identifier for the original request. | +| `_request_type` | `string` | Type of the request (e.g., Document). | +| `_responseCode` | `int` | HTTP response code. | +| `_run` | `int` | The run number of the test. | +| `_score_cache` | `int` | Cache score. | +| `_score_cdn` | `int` | CDN score. | +| `_score_combine` | `int` | Combine score. | +| `_score_compress` | `int` | Compression score. | +| `_score_cookies` | `int` | Cookies score. | +| `_score_etags` | `int` | ETags score. | +| `_score_gzip` | `int` | Gzip compression score. | +| `_score_keep-alive` | `int` | Keep-alive score. | +| `_score_minify` | `int` | Minification score. | +| `_securityDetails` | `object` | Security details of the request. | +| `_securityDetails.certificateId` | `int` | Certificate ID. | +| `_securityDetails.certificateTransparencyCompliance` | `string` | Certificate transparency compliance. | +| `_securityDetails.cipher` | `string` | Cipher used. | +| `_securityDetails.encryptedClientHello` | `int` | Indicates if the client hello is encrypted. | +| `_securityDetails.issuer` | `string` | Issuer of the certificate. | +| `_securityDetails.keyExchange` | `string` | Key exchange used. | +| `_securityDetails.keyExchangeGroup` | `string` | Key exchange group used. | +| `_securityDetails.protocol` | `string` | Security protocol used. | +| `_securityDetails.sanList` | `array` | Subject alternative names. | +| `_securityDetails.serverSignatureAlgorithm` | `int` | Server signature algorithm. | +| `_securityDetails.signedCertificateTimestampList` | `array` | List of signed certificate timestamps. | +| `_securityDetails.subjectName` | `string` | Subject name of the certificate. | +| `_securityDetails.validFrom` | `int` | Valid from date of the certificate. | +| `_securityDetails.validTo` | `int` | Valid to date of the certificate. | +| `_server_count` | `int` | Number of servers used. | +| `_server_port` | `string` | Server port. | +| `_server_rtt` | `int` | Server round-trip time. | +| `_socket_group` | `string` | Socket group. | +| `_socket` | `int` | Socket used for the request. | +| `_ssl_end` | `int` | SSL handshake end time. | +| `_ssl_ms` | `int` | SSL handshake time in milliseconds. | +| `_ssl_start` | `int` | SSL handshake start time. | +| `_tls_cipher_suite` | `int` | Cipher suite used. | +| `_tls_next_proto` | `string` | Next protocol used. | +| `_tls_resumed` | `string` | Indicates if the TLS session was resumed. | +| `_tls_version` | `string` | TLS version used. | +| `_ttfb_end` | `int` | Time to first byte end time. | +| `_ttfb_ms` | `int` | Time to first byte in milliseconds. | +| `_ttfb_start` | `int` | Time to first byte start time. | +| `_type` | `int` | Type identifier for the request. | +| `_url` | `string` | URL path of the request. | +| `cache` | `object` | Cache details (empty in this example). | +| `pageref` | `string` | Reference to the page containing this request. | +| `request` | `object` | Details of the request. | +| `request.bodySize` | `int` | Size of the request body. | +| `request.cookies` | `array` | Cookies sent with the request. | +| `request.headersSize` | `int` | Size of the request headers. | +| `request.httpVersion` | `string` | HTTP version used for the request. | +| `request.method` | `string` | HTTP method used for the request. | +| `request.queryString` | `array` | Query string parameters. | +| `request.url` | `string` | URL of the requested resource. | +| `response` | `object` | Details of the response. | +| `response.bodySize` | `int` | Size of the response body. | +| `response.content.mimeType` | `string` | MIME type of the content. | +| `response.content.size` | `int` | Size of the content. | +| `response.content` | `object` | Content details of the response. | +| `response.cookies` | `array` | Cookies received with the response. | +| `response.headersSize` | `int` | Size of the response headers. | +| `response.httpVersion` | `string` | HTTP version used for the response. | +| `response.status` | `int` | HTTP response status code. | +| `response.statusText` | `string` | Status text of the response. | +| `startedDateTime` | `string` | Start time of the request. | +| `time` | `int` | Total time taken for the request in milliseconds. | +| `timings` | `object` | Timing details of various stages of the request. | +| `timings.blocked` | `int` | Time spent in blocking. | +| `timings.connect` | `int` | Time spent in establishing a connection. | +| `timings.dns` | `int` | Time spent in DNS lookup. | +| `timings.receive` | `int` | Time spent in receiving the response. | +| `timings.send` | `int` | Time spent in sending the request. | +| `timings.ssl` | `int` | Time spent in SSL handshake. | +| `timings.wait` | `int` | Time spent in waiting for the response. | - Headers sent with the request. - -- #### `request.headers[].name` +### `_all_end` - Header name. +End time of all operations. -- #### `request.headers[].value` +### `_all_ms` - Header value. +Total time taken for all operations. -- #### `request.httpVersion` +### `_all_start` - HTTP version used for the request. +Start time of all operations. -- #### `request.queryString` +### `_body_file` - Query string parameters. +File containing the body of the request. -### `response` +### `_bytesIn` -Details of the response. +Number of bytes received. -- #### `response.status` +### `_bytesOut` - HTTP response status code. +Number of bytes sent. -- #### `response.statusText` +### `_cacheControl` - Status text of the response. +Cache control header value. -- #### `response.headersSize` +### `_cache_time` - Size of the response headers. +Cache time. -- #### `response.bodySize` +### `_cached` - Size of the response body. +Indicates if the request was cached (0 or 1). -- #### `response.headers` +### `_cdn_provider` - Headers sent with the response. +CDN provider used. -- #### `response.headers[].name` +### `_certificates` - Header name. +array | Certificates used. -- #### `response.headers[].value` +### `_chunks` - Header value. +array | Array of chunks received. -- #### `response.httpVersion` +- #### `_chunks[].bytes` - HTTP version used for the response. + Size of the chunk. -- #### `response.content` +- #### `_chunks[].inflated` - Content details of the response. + Size of the inflated chunk. -- #### `response.content.size` +- #### `_chunks[].ts` - Size of the content. + Timestamp of the chunk. -- #### `response.content.mimeType` +### `_connect_end` - MIME type of the content. +Connection end time. -- #### `response.cookies` +### `_connect_ms` - Cookies received with the response. +Connection time in milliseconds. -### `cache` +### `_connect_start` -Cache details (empty in this example). +Connection start time. -### `timings` +### `_contentEncoding` -Timing details of various stages of the request. +Content encoding of the response. -- #### `timings.blocked` +### `_contentType` - Time spent in blocking. +Content type of the response. -- #### `timings.dns` +### `_created` - Time spent in DNS lookup. +Creation time of the request. -- #### `timings.connect` +### `_dns_end` - Time spent in establishing a connection. +DNS end time. -- #### `timings.ssl` +### `_dns_info` - Time spent in SSL handshake. +DNS information. -- #### `timings.send` +- #### `_dns_info.results` - Time spent in sending the request. + Results of the DNS query. -- #### `timings.wait` +- #### `_dns_info.results.aliases` - Time spent in waiting for the response. + Aliases for the domain. -- #### `timings.receive` +- #### `_dns_info.results.canonical_names` - Time spent in receiving the response. + Canonical names for the domain. -### `_type` +- #### `_dns_info.results.endpoint_metadatas` -Type identifier for the request. + Endpoint metadata. -### `_id` +- #### `_dns_info.results.expiration` -Unique identifier for the request. + Expiration date of the DNS query. -### `_request_id` +- #### `_dns_info.results.host_ports` -Identifier for the original request. + Host ports. -### `_ip_addr` +- #### `_dns_info.results.hostname_results` -IP address of the requested server. + Hostname results. -### `_full_url` +- #### `_dns_info.results.ip_endpoints` -Full URL of the request. + IP endpoints. -### `_is_secure` +- #### `_dns_info.results.ip_endpoints[].endpoint_address` -Indicates if the request is secure (0 or 1). + IP address of the endpoint. -### `_method` +- #### `_dns_info.results.ip_endpoints[].endpoint_port` -HTTP method used for the request. + Port of the endpoint. -### `_host` +- #### `_dns_info.results.text_records` -Host of the request. + Text records. -### `_url` +- #### `_dns_info.secure` -URL path of the request. + Indicates if the DNS query is secure. -### `_raw_id` +- #### `_dns_info.transactions_needed` -Raw ID for the request. + Transactions needed for DNS query. -### `_frame_id` +- #### `_dns_info.transactions_needed[].dns_query_type` -Frame ID where the request was made. + Type of DNS query. -### `_documentURL` +### `_dns_ms` -Document URL of the request. +DNS lookup time in milliseconds. -### `_responseCode` +### `_dns_start` -HTTP response code. +DNS start time. -### `_request_type` +### `_documentURL` -Type of the request (e.g., Document). +Document URL of the request. -### `_load_ms` +### `_download_end` -Load time in milliseconds. +Download end time. -### `_ttfb_ms` +### `_download_ms` -Time to first byte in milliseconds. +Download time in milliseconds. -### `_load_start` +### `_download_start` -Start time of load in milliseconds. +Download start time. -### `_load_start_float` +### `_expires` -float | Precise start time of load. +Expiry date of the request. -### `_bytesIn` +### `_final_base_page` -Number of bytes received. +Indicates if the request is the final base page. -### `_objectSize` +### `_frame_id` -Size of the object received. +Frame ID where the request was made. -### `_objectSizeUncompressed` +### `_full_url` -Uncompressed size of the object received. +Full URL of the request. -### `_chunks` +### `_gzip_save` -array | Array of chunks received. +Size saved due to gzip compression. -- #### `_chunks[].ts` +### `_gzip_total` - Timestamp of the chunk. +Total size of the gzip-compressed content. -- #### `_chunks[].bytes` +### `_host` - Size of the chunk. +Host of the request. -- #### `_chunks[].inflated` +### `_http2_server_settings` - Size of the inflated chunk. +HTTP/2 server settings. -### `_expires` +### `_http2_stream_dependency` -Expiry date of the request. +HTTP/2 stream dependency. -### `_cacheControl` +### `_http2_stream_exclusive` -Cache control header value. +HTTP/2 stream exclusivity. -### `_contentType` +### `_http2_stream_id` -Content type of the response. +HTTP/2 stream ID. -### `_contentEncoding` +### `_http2_stream_weight` -Content encoding of the response. +HTTP/2 stream weight. -### `_socket` +### `_id` -Socket used for the request. +Unique identifier for the request. -### `_protocol` +### `_image_save` -Protocol used for the request. +Size saved due to image optimization. -### `_dns_start` +### `_image_total` -DNS start time. +Total size of images. -### `_dns_end` +### `_index` -DNS end time. +Index of the request. -### `_connect_start` +### `_initial_priority` -Connection start time. +Initial priority of the request. -### `_connect_end` +### `_initiator` -Connection end time. +Initiator of the request. -### `_ssl_start` +### `_initiator_column` -SSL handshake start time. +Column number of the initiator. -### `_ssl_end` +### `_initiator_line` -SSL handshake end time. +Line number of the initiator. -### `_securityDetails` +### `_initiator_type` -Security details of the request. +Type of initiator (e.g., script). -- #### `_securityDetails.protocol` +### `_ip_addr` - Security protocol used. +IP address of the requested server. -- #### `_securityDetails.keyExchange` +### `_is_base_page` - Key exchange used. +Indicates if the request is the base page. -- #### `_securityDetails.keyExchangeGroup` +### `_is_secure` - Key exchange group used. +Indicates if the request is secure (0 or 1). -- #### `_securityDetails.cipher` +### `_load_end` - Cipher used. +Load end time. -- #### `_securityDetails.certificateId` +### `_load_ms` - Certificate ID. +Load time in milliseconds. -- #### `_securityDetails.subjectName` +### `_load_start` - Subject name of the certificate. +Start time of load in milliseconds. -- #### `_securityDetails.sanList` +### `_load_start_float` - Subject alternative names. +float | Precise start time of load. -- #### `_securityDetails.issuer` +### `_method` - Issuer of the certificate. +HTTP method used for the request. -- #### `_securityDetails.validFrom` +### `_minify_save` - Valid from date of the certificate. +Size saved due to minification. -- #### `_securityDetails.validTo` +### `_minify_total` - Valid to date of the certificate. +Total size of minified content. -- #### `_securityDetails.signedCertificateTimestampList` +### `_netlog_id` - List of signed certificate timestamps. +Netlog ID. -- #### `_securityDetails.certificateTransparencyCompliance` +### `_number` - Certificate transparency compliance. +Number of the request. -- #### `_securityDetails.serverSignatureAlgorithm` +### `_objectSize` - Server signature algorithm. +Size of the object received. -- #### `_securityDetails.encryptedClientHello` +### `_objectSizeUncompressed` - Indicates if the client hello is encrypted. +Uncompressed size of the object received. -### `_initiator` +### `_priority` -Initiator of the request. +Priority of the request. -### `_initiator_line` +### `_protocol` -Line number of the initiator. +Protocol used for the request. -### `_initiator_column` +### `_raw_id` -Column number of the initiator. +Raw ID for the request. -### `_initiator_type` +### `_request_id` -Type of initiator (e.g., script). +Identifier for the original request. -### `_priority` +### `_request_type` -Priority of the request. +Type of the request (e.g., Document). -### `_initial_priority` +### `_responseCode` -Initial priority of the request. +HTTP response code. -### `_server_rtt` +### `_run` -Server round-trip time. +The run number of the test. -### `_headers` +### `_score_cache` -Headers for the request and response. +Cache score. -- #### `_headers.request` +### `_score_cdn` - Request headers. +CDN score. -- #### `_headers.response` +### `_score_combine` - Response headers. +Combine score. -### `_bytesOut` +### `_score_compress` -Number of bytes sent. +Compression score. -### `_score_cache` +### `_score_cookies` -Cache score. +Cookies score. -### `_score_cdn` +### `_score_etags` -CDN score. +ETags score. ### `_score_gzip` Gzip compression score. -### `_score_cookies` - -Cookies score. - ### `_score_keep-alive` Keep-alive score. @@ -864,234 +785,250 @@ Keep-alive score. Minification score. -### `_score_combine` +### `_securityDetails` -Combine score. +Security details of the request. -### `_score_compress` +- #### `_securityDetails.certificateId` -Compression score. + Certificate ID. -### `_score_etags` +- #### `_securityDetails.certificateTransparencyCompliance` -ETags score. + Certificate transparency compliance. -### `_dns_ms` +- #### `_securityDetails.cipher` -DNS lookup time in milliseconds. + Cipher used. -### `_connect_ms` +- #### `_securityDetails.encryptedClientHello` -Connection time in milliseconds. + Indicates if the client hello is encrypted. -### `_ssl_ms` +- #### `_securityDetails.issuer` -SSL handshake time in milliseconds. + Issuer of the certificate. -### `_gzip_total` +- #### `_securityDetails.keyExchange` -Total size of the gzip-compressed content. + Key exchange used. -### `_gzip_save` +- #### `_securityDetails.keyExchangeGroup` -Size saved due to gzip compression. + Key exchange group used. -### `_minify_total` +- #### `_securityDetails.protocol` -Total size of minified content. + Security protocol used. -### `_minify_save` +- #### `_securityDetails.sanList` -Size saved due to minification. + Subject alternative names. -### `_image_total` +- #### `_securityDetails.serverSignatureAlgorithm` -Total size of images. + Server signature algorithm. -### `_image_save` +- #### `_securityDetails.signedCertificateTimestampList` -Size saved due to image optimization. + List of signed certificate timestamps. -### `_cache_time` +- #### `_securityDetails.subjectName` -Cache time. + Subject name of the certificate. -### `_cdn_provider` +- #### `_securityDetails.validFrom` -CDN provider used. + Valid from date of the certificate. + +- #### `_securityDetails.validTo` + + Valid to date of the certificate. ### `_server_count` Number of servers used. -### `_created` +### `_server_port` -Creation time of the request. +Server port. -### `_dns_info` +### `_server_rtt` -DNS information. +Server round-trip time. -- #### `_dns_info.secure` +### `_socket` - Indicates if the DNS query is secure. +Socket used for the request. -- #### `_dns_info.transactions_needed` +### `_socket_group` - Transactions needed for DNS query. +Socket group. -- #### `_dns_info.transactions_needed[].dns_query_type` +### `_ssl_end` - Type of DNS query. +SSL handshake end time. -- #### `_dns_info.results` +### `_ssl_ms` - Results of the DNS query. +SSL handshake time in milliseconds. -- #### `_dns_info.results.aliases` +### `_ssl_start` - Aliases for the domain. +SSL handshake start time. -- #### `_dns_info.results.canonical_names` +### `_tls_cipher_suite` - Canonical names for the domain. +Cipher suite used. -- #### `_dns_info.results.endpoint_metadatas` +### `_tls_next_proto` - Endpoint metadata. +Next protocol used. -- #### `_dns_info.results.expiration` +### `_tls_resumed` - Expiration date of the DNS query. +Indicates if the TLS session was resumed. -- #### `_dns_info.results.host_ports` +### `_tls_version` - Host ports. +TLS version used. -- #### `_dns_info.results.hostname_results` +### `_ttfb_end` - Hostname results. +Time to first byte end time. -- #### `_dns_info.results.ip_endpoints` +### `_ttfb_ms` - IP endpoints. +Time to first byte in milliseconds. -- #### `_dns_info.results.ip_endpoints[].endpoint_address` +### `_ttfb_start` - IP address of the endpoint. +Time to first byte start time. -- #### `_dns_info.results.ip_endpoints[].endpoint_port` +### `_type` - Port of the endpoint. +Type identifier for the request. -- #### `_dns_info.results.text_records` +### `_url` - Text records. +URL path of the request. -### `_socket_group` +### `cache` -Socket group. +Cache details (empty in this example). -### `_http2_stream_id` +### `pageref` -HTTP/2 stream ID. +Reference to the page containing this request. -### `_http2_stream_dependency` +### `request` -HTTP/2 stream dependency. +Details of the request. -### `_http2_stream_weight` +- #### `request.bodySize` -HTTP/2 stream weight. + Size of the request body. -### `_http2_stream_exclusive` +- #### `request.cookies` -HTTP/2 stream exclusivity. + Cookies sent with the request. -### `_http2_server_settings` +- #### `request.headersSize` -HTTP/2 server settings. + Size of the request headers. -### `_tls_version` +- #### `request.httpVersion` -TLS version used. + HTTP version used for the request. -### `_tls_resumed` +- #### `request.method` -Indicates if the TLS session was resumed. + HTTP method used for the request. -### `_tls_next_proto` +- #### `request.queryString` -Next protocol used. + Query string parameters. -### `_tls_cipher_suite` +- #### `request.url` -Cipher suite used. + URL of the requested resource. -### `_netlog_id` +### `response` -Netlog ID. +Details of the response. -### `_certificates` +- #### `response.bodySize` -array | Certificates used. + Size of the response body. -### `_server_port` +- #### `response.content` -Server port. + Content details of the response. -### `_final_base_page` +- #### `response.content.mimeType` -Indicates if the request is the final base page. + MIME type of the content. -### `_is_base_page` +- #### `response.content.size` -Indicates if the request is the base page. + Size of the content. -### `_load_end` +- #### `response.cookies` -Load end time. + Cookies received with the response. -### `_ttfb_start` +- #### `response.headersSize` -Time to first byte start time. + Size of the response headers. -### `_ttfb_end` +- #### `response.httpVersion` -Time to first byte end time. + HTTP version used for the response. -### `_download_start` +- #### `response.status` -Download start time. + HTTP response status code. -### `_download_end` +- #### `response.statusText` -Download end time. + Status text of the response. -### `_download_ms` +### `startedDateTime` -Download time in milliseconds. +Start time of the request. -### `_all_start` +### `time` -Start time of all operations. +Total time taken for the request in milliseconds. -### `_all_end` +### `timings` -End time of all operations. +Timing details of various stages of the request. -### `_all_ms` +- #### `timings.blocked` -Total time taken for all operations. + Time spent in blocking. -### `_index` +- #### `timings.connect` -Index of the request. + Time spent in establishing a connection. -### `_number` +- #### `timings.dns` -Number of the request. + Time spent in DNS lookup. -### `_body_file` +- #### `timings.receive` -File containing the body of the request. + Time spent in receiving the response. + +- #### `timings.send` + + Time spent in sending the request. + +- #### `timings.ssl` + + Time spent in SSL handshake. + +- #### `timings.wait` + + Time spent in waiting for the response. diff --git a/src/content/docs/reference/structs/request-summary.md b/src/content/docs/reference/structs/request-summary.md index 77a9b2b..f2fcd28 100644 --- a/src/content/docs/reference/structs/request-summary.md +++ b/src/content/docs/reference/structs/request-summary.md @@ -12,72 +12,30 @@ Here's an example of the decoded object: ```json { - "requestid": 103235745187102721, - "pageid": 24036445, - "crawlid": 0, - "startedDateTime": 1720729879, - "time": 260, "_cdn_provider": "Edgecast", "_gzip_save": 0, + "expAge": 604800, + "ext": "", + "format": "", "method": "GET", - "url": "https://www.example.com/", - "urlShort": "https://www.example.com/", - "reqHeadersSize": 683, + "mimeType": "text/html", + "redirectUrl": null, "reqBodySize": null, - "reqOtherHeaders": "priority = u=0, i, sec-ch-ua = \" Not A;Brand\";v=\"99\", \"Chromium\";v=\"126\", \"Google Chrome\";v=\"126\", sec-ch-ua-mobile = ?0, sec-ch-ua-platform = \"Unknown\", sec-fetch-dest = document, sec-fetch-mode = navigate, sec-fetch-site = cross-site, upgrade-insecure-requests = 1", "reqCookieLen": 0, - "status": 200, - "respHttpVersion": "HTTP/2", - "redirectUrl": null, - "respHeadersSize": 376, + "reqHeadersSize": 683, "respBodySize": 648, - "respSize": 648, - "mimeType": "text/html", - "ext": "", - "type": "html", - "format": "", - "respOtherHeaders": "x-cache = HIT", "respCookieLen": 0, - "expAge": 604800, - "req_accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.7", - "req_accept_encoding": "gzip, deflate, br, zstd", - "req_accept_language": "en-US,en;q=0.9", - "req_user_agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/126.0.0.0 Safari/537.36 PTST/240709.152506", - "resp_accept_ranges": "bytes", - "resp_age": "238899", - "resp_cache_control": "max-age=604800", - "resp_content_encoding": "gzip", - "resp_content_length": "648", - "resp_content_type": "text/html; charset=UTF-8", - "resp_date": "Thu, 11 Jul 2024 20:31:19 GMT", - "resp_etag": "\"3147526947+gzip\"", - "resp_expires": "Thu, 18 Jul 2024 20:31:19 GMT", - "resp_last_modified": "Thu, 17 Oct 2019 07:18:26 GMT", - "resp_server": "ECAcc (dna/62BC)", - "resp_vary": "Accept-Encoding", - "firstReq": true, - "firstHtml": true + "respHeadersSize": 376, + "respHttpVersion": "HTTP/2", + "respSize": 648, + "status": 200, + "time": 285, + "type": "html" } ``` ## Schema -### `requestid` - -The unique identifier for the request. - -### `pageid` - -The unique identifier for the page associated with the request. - -### `crawlid` - -The crawl identifier. - -### `startedDateTime` - -The start date and time of the request in Unix timestamp format. - ### `time` The total time taken for the request in milliseconds. @@ -94,14 +52,6 @@ Bytes saved due to gzip compression. The HTTP method used for the request (e.g., "GET", "POST"). -### `url` - -The URL of the requested resource. - -### `urlShort` - -A shortened version of the URL. - ### `reqHeadersSize` The size of the request headers in bytes. @@ -110,10 +60,6 @@ The size of the request headers in bytes. The size of the request body in bytes. -### `reqOtherHeaders` - -Additional headers sent with the request. - ### `reqCookieLen` The length of the request cookies. @@ -150,18 +96,10 @@ The MIME type of the response. The file extension of the requested resource. -### `type` - -The type of the requested resource (e.g., "audio", "image"). - ### `format` The format of the resource. -### `respOtherHeaders` - -Additional headers received in the response. - ### `respCookieLen` The length of the response cookies. @@ -169,75 +107,3 @@ The length of the response cookies. ### `expAge` The age of the cached response in seconds. - -### `req_accept` - -The value of the `Accept` header sent with the request. - -### `req_accept_encoding` - -The value of the `Accept-Encoding` header sent with the request. - -### `req_accept_language` - -The value of the `Accept-Language` header sent with the request. - -### `req_if_modified_since` - -The value of the `If-Modified-Since` header sent with the request. - -### `req_if_none_match` - -The value of the `If-None-Match` header sent with the request. - -### `req_referer` - -The value of the `Referer` header sent with the request. - -### `req_user_agent` - -The value of the `User-Agent` header sent with the request. - -### `resp_age` - -The `Age` header value in the response. - -### `resp_cache_control` - -The `Cache-Control` header value in the response. - -### `resp_date` - -The `Date` header value in the response. - -### `resp_etag` - -The `ETag` header value in the response. - -### `resp_last_modified` - -The `Last-Modified` header value in the response. - -### `resp_server` - -The `Server` header value in the response. - -### `resp_vary` - -The `Vary` header value in the response. - -### `resp_content_length` - -The `Content-Length` header value in the response. - -### `resp_content_type` - -The `Content-Type` header value in the response. - -### `firstReq` - -Boolean indicating if this is the first request of the page. - -### `firstHtml` - -Boolean indicating if this is the first HTML request of the page. diff --git a/src/content/docs/reference/tables/pages.mdx b/src/content/docs/reference/tables/pages.mdx index 65a8cde..320b0d1 100644 --- a/src/content/docs/reference/tables/pages.mdx +++ b/src/content/docs/reference/tables/pages.mdx @@ -1,11 +1,11 @@ --- title: Pages table -description: Reference docs for the httparchive.all.pages table +description: Reference docs for the httparchive.crawl.pages table --- import { Tabs, TabItem } from '@astrojs/starlight/components'; -[`httparchive.all.pages`](https://console.cloud.google.com/bigquery?ws=!1m5!1m4!4m3!1shttparchive!2sall!3spages) is a partitioned and clustered table containing one row per page tested in the HTTP Archive. Pages are tested on a monthly basis and as of April 2022, both the root page and one secondary page are tested. +[`httparchive.crawl.pages`](https://console.cloud.google.com/bigquery?ws=!1m5!1m4!4m3!1shttparchive!2scrawl!3spages) is a partitioned and clustered table containing one row per page tested in the HTTP Archive. Pages are tested on a monthly basis and as of April 2022, both the root page and one secondary page are tested. ## Example queries @@ -23,9 +23,9 @@ SELECT client, is_root_page, count(0) AS pages_total -FROM `httparchive.all.pages` -WHERE date = "2024-05-01" -group by client, is_root_page +FROM `httparchive.crawl.pages` +WHERE date = '2024-05-01' +GROUP BY client, is_root_page ``` @@ -51,20 +51,16 @@ desktop | false | 11585746 WITH pages AS ( SELECT client, - CAST(JSON_VALUE(summary, '$.bytesTotal') AS INT64) AS page_weight - FROM - `httparchive.all.pages` TABLESAMPLE SYSTEM (1 PERCENT) - WHERE - date = '2023-05-01' + INT64(summary.bytesTotal) AS page_weight + FROM `httparchive.crawl.pages` TABLESAMPLE SYSTEM (1 PERCENT) + WHERE date = '2023-05-01' ) SELECT client, APPROX_QUANTILES(page_weight, 1000)[OFFSET(500)] AS median_page_weight -FROM - pages -GROUP BY - client +FROM pages +GROUP BY client ``` @@ -82,11 +78,11 @@ The median mobile page weighs 1.78 MB and the median desktop page weighs 2.03 MB This query uses the [`APPROX_QUANTILES`](https://cloud.google.com/bigquery/docs/reference/standard-sql/approximate_aggregate_functions#approx_quantiles) function to calculate the median page weight for each client type as of May 2023. -The `bytesTotal` property of the `summary` object represents the total number of bytes loaded on the page. This value is stored as a JSON-encoded string, so we use [`JSON_VALUE`](https://cloud.google.com/bigquery/docs/reference/standard-sql/json_functions#json_value) to extract it and [`CAST`](https://cloud.google.com/bigquery/docs/reference/standard-sql/conversion_functions#cast) to convert it to an integer. +The `bytesTotal` property of the `summary` object represents the total number of bytes loaded on the page. This value is stored as a JSON-encoded string, so we use [`INT64`](https://cloud.google.com/bigquery/docs/reference/standard-sql/json_functions#int64_for_json) to convert it to an integer. We're also using the [`WITH`](https://cloud.google.com/bigquery/docs/reference/standard-sql/query-syntax#with_clause) clause here to create a temporary table called `pages`, which is then fed into the main query below. This makes the query a bit easier to read. -Also note that for demonstration purposes, this query processes a 1% sample of the `httparchive.all.pages` table. This reduces the amount of data processed by the query, which can help reduce costs. But note that the results will be less accurate than if you ran the query on the full table. +Also note that for demonstration purposes, this query processes a 1% sample of the `httparchive.crawl.pages` table. This reduces the amount of data processed by the query, which can help reduce costs. But note that the results will be less accurate than if you ran the query on the full table. ### The average number of requests per page @@ -97,11 +93,12 @@ Also note that for demonstration purposes, this query processes a 1% sample of t /* This query will process 0.6 GB when run. */ WITH pages_summary AS ( SELECT - CAST(JSON_VALUE(summary, '$.reqTotal') AS INT64) AS reqTotal, - CAST(JSON_VALUE(summary, '$.numDomains') AS INT64) AS numDomains - FROM `httparchive.all.pages` TABLESAMPLE SYSTEM (1 PERCENT) - WHERE date = "2024-06-01" - AND client = 'mobile' + INT64(summary.reqTotal) AS reqTotal, + INT64(summary.numDomains) AS numDomains + FROM `httparchive.crawl.pages` TABLESAMPLE SYSTEM (1 PERCENT) + WHERE + date = '2024-06-01' AND + client = 'mobile' ) SELECT @@ -138,12 +135,12 @@ Field name | Type | Description [`rank`](#rank) | `INTEGER` | Site popularity rank, from CrUX [`wptid`](#wptid) | `STRING` | ID of the WebPageTest results [`payload`](#payload) | [`HAR`](/reference/blobs/har/) | JSON-encoded WebPageTest results for the page -[`summary`](#summary) | `STRING` | JSON-encoded summarization of the page-level data -[`custom_metrics`](#custom_metrics) | `STRING` | JSON-encoded test results of the custom metrics +[`summary`](#summary) | [`Page summary`](/reference/structs/page-summary/) | JSON-encoded summarization of the page-level data +[`custom_metrics`](#custom_metrics) | [`Custom metrics`](/reference/structs/custom-metrics/) | JSON-encoded test results of the custom metrics [`lighthouse`](#lighthouse) | [`Lighthouse`](/reference/blobs/lighthouse/) | JSON-encoded Lighthouse report -[`features`](#features) | ARRAY<Feature> | Blink features detected at runtime -[`technologies`](#technologies) | ARRAY<Technology> | Technologies detected at runtime -[`metadata`](#metadata) | `STRING` | Additional metadata about the test +[`features`](#features) | ARRAY<Feature> | Blink features detected at runtime +[`technologies`](#technologies) | ARRAY<Technology> | Technologies detected at runtime +[`metadata`](#metadata) | [`Page metadata`](/reference/blobs/page-metadata/) | Additional metadata about the test ### `date` diff --git a/src/content/docs/reference/tables/requests.mdx b/src/content/docs/reference/tables/requests.mdx index 03f9792..67eff63 100644 --- a/src/content/docs/reference/tables/requests.mdx +++ b/src/content/docs/reference/tables/requests.mdx @@ -1,11 +1,11 @@ --- title: Requests table -description: Reference docs for the httparchive.all.requests table +description: Reference docs for the httparchive.crawl.requests table --- import { Tabs, TabItem } from '@astrojs/starlight/components'; -[`httparchive.all.requests`](https://console.cloud.google.com/bigquery?ws=!1m5!1m4!4m3!1shttparchive!2sall!3srequests) is a partitioned and clustered table containing one row per request per page tested in the HTTP Archive. Pages are tested on a monthly basis and as of April 2022, both the root page and one secondary page are tested. +[`httparchive.crawl.requests`](https://console.cloud.google.com/bigquery?ws=!1m5!1m4!4m3!1shttparchive!2scrawl!3srequests) is a partitioned and clustered table containing one row per request per page tested in the HTTP Archive. Pages are tested on a monthly basis and as of April 2022, both the root page and one secondary page are tested. ## Example queries @@ -22,8 +22,8 @@ Here are some common operations you can perform with the `requests` table. client, is_root_page, count(0) AS requests_total - FROM `httparchive.all.requests` - WHERE date = "2024-05-01" + FROM `httparchive.crawl.requests` + WHERE date = '2024-05-01' group by client, is_root_page ``` @@ -51,15 +51,14 @@ Let's check the size of individual requests served from websites across the enti /* This query will process 26 GB when run. */ WITH requests AS ( SELECT - CEIL(CAST(JSON_VALUE(summary, '$.respBodySize') AS INT64)/1024/100)*100 AS responseSize100KB, + CEIL(INT64(summary.respBodySize)/1024/100)*100 AS responseSize100KB, COUNT(0) OVER () AS total_requests - FROM - `httparchive.all.requests` TABLESAMPLE SYSTEM (1 PERCENT) + FROM `httparchive.crawl.requests` TABLESAMPLE SYSTEM (1 PERCENT) WHERE - date = '2024-06-01' - AND client = 'desktop' - AND is_root_page - AND CAST(JSON_VALUE(summary, '$.respBodySize') AS INT64) > 0 + date = '2024-06-01' AND + client = 'desktop' AND + is_root_page AND + INT64(summary.respBodySize) > 0 ) SELECT @@ -67,10 +66,8 @@ Let's check the size of individual requests served from websites across the enti COUNT(0) AS requests, COUNT(0)/ANY_VALUE(total_requests) AS pct_requests FROM requests - GROUP BY - responseSize100KB - ORDER BY - responseSize100KB ASC + GROUP BY responseSize100KB + ORDER BY responseSize100KB ASC LIMIT 10 ``` @@ -106,17 +103,16 @@ Let's filter out all of the non-Image content and examine the popularity of vari /* This query will process 8 GB when run. */ WITH requests AS ( SELECT - JSON_VALUE(summary, '$.format') AS format, + STRING(summary.format) AS format, page, COUNT(0) OVER() AS total_requests, COUNT(DISTINCT page) OVER() AS total_pages - FROM - `httparchive.all.requests` TABLESAMPLE SYSTEM (1 PERCENT) + FROM `httparchive.crawl.requests` TABLESAMPLE SYSTEM (1 PERCENT) WHERE - date = '2024-06-01' - AND client = 'desktop' - AND is_root_page - AND type = "image" + date = '2024-06-01' AND + client = 'desktop' AND + is_root_page AND + type = 'image' ) SELECT @@ -125,12 +121,9 @@ Let's filter out all of the non-Image content and examine the popularity of vari COUNT(DISTINCT page) pages, ROUND(COUNT(0) / ANY_VALUE(total_requests), 2) percent_image_requests, ROUND(COUNT(DISTINCT page) / ANY_VALUE(total_pages), 2) percent_pages - FROM - requests - GROUP BY - format - ORDER BY - requests DESC + FROM requests + GROUP BY format + ORDER BY requests DESC ``` @@ -168,10 +161,10 @@ Field name | Type | Description [`is_main_document`](#is_main_document) | `BOOLEAN` | Whether this request corresponds with the main HTML document of the page, which is the first HTML request after redirects [`type`](#type) | `STRING` | Simplified description of the type of resource (script, html, css, text, other, etc) [`index`](#index) | `INTEGER` | The sequential 0-based index of the request -[`payload`](#payload) | `STRING` | JSON-encoded WebPageTest result data for this request -[`summary`](#summary) | `STRING` | JSON-encoded summarization of request data -[`request_headers`](#request_headers) | ARRAY<Header> | Request headers -[`response_headers`](#response_headers) | ARRAY<Header> | Response headers +[`payload`](#payload) | [`Request payload`](/reference/structs/request-payload/) | JSON-encoded WebPageTest result data for this request +[`summary`](#summary) | [`Request summary`](/reference/structs/request-summary/) | JSON-encoded summarization of request data +[`request_headers`](#request_headers) | ARRAY<Header> | Request headers +[`response_headers`](#response_headers) | ARRAY<Header> | Response headers [`response_body`](#response_body) | `STRING` | Text-based response body ### `date` @@ -212,7 +205,7 @@ Whether this request corresponds with the main HTML document of the page, which ### `type` -Simplified description of the type of resource (script, html, css, text, other, etc) +Simplified description of the type of resource (script, image, css, html, other, font, text, video, xml, audio, wasm, etc) ### `index` diff --git a/workbooks/exploring_httparchive-all-pages_tables.ipynb b/workbooks/exploring_httparchive-all-pages_tables.ipynb index 8f8e4a5..4cf0d41 100644 --- a/workbooks/exploring_httparchive-all-pages_tables.ipynb +++ b/workbooks/exploring_httparchive-all-pages_tables.ipynb @@ -1,8578 +1,8578 @@ { - "cells": [ - { - "cell_type": "markdown", - "metadata": { - "id": "KcAZ2RHCg_Ze" - }, - "source": [ - "# Before you begin\n", - "\n", - "1. Use the [Cloud Resource Manager](https://console.cloud.google.com/cloud-resource-manager) to Create a Cloud Platform project if you do not already have one.\n", - "2. [Enable billing](https://support.google.com/cloud/answer/6293499#enable-billing) for the project.\n", - "3. [Enable BigQuery](https://console.cloud.google.com/flows/enableapi?apiid=bigquery) APIs for the project.\n", - "4. Provide your credentials to the runtime" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": { - "executionInfo": { - "elapsed": 11667, - "status": "ok", - "timestamp": 1719068573829, - "user": { - "displayName": "Max Ostapenko", - "userId": "15524868757665302379" - }, - "user_tz": -120 - }, - "id": "SeTJb51SKs_W" - }, - "outputs": [], - "source": [ - "from google.colab import auth\n", - "auth.authenticate_user()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "GCP_PROJECT = 'httparchive' # @param {type: \"string\"}" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "OHCBQv4uTCPc" - }, - "source": [ - "The [`pages`](https://har.fyi/reference/tables/pages/) table contains details about each page tracked in the archive. It includes timings, number of requests, types of requests and byte sizes. You can see the table schema by [selecting the table in BigQuery UI](https://console.cloud.google.com/bigquery?ws=!1m5!1m4!4m3!1shttparchive!2sall!3spages) or reading the [schema reference](https://har.fyi/reference/tables/pages/#schema). You can also preview the contents by clicking on the **Preview** button." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 81, - "referenced_widgets": [ - "25c70abd54e04053a9957c5263ae6544", - "008518563ea448ba9b00318190496fd9", - "2a16e4bbcec04c2c88b5bbd761c0e206", - "d2f7ce0c783846e6884ac5fb57afbfcf", - "56e1776f9c504c82b2534a3a6980ef09", - "0204bf22ede8494ca311ffb940fe2f57", - "45d8b06fd8d94ce2939111e3137a9673", - "8062fe9b0c6841e893244abb18974600", - "2646c6a73c8f4a6e94fd43127a6d8965", - "273f8b551a9c461cab911c430ef671bb", - "21a7ae3a9be647a1bb573aff3ab2774e", - "94375ae3c32e40e2b145d815e17fa370", - "6e08fe2ec5994d55bd11d9254ee8b86d", - "b2883ac3a1c943fd825663e4fd9aaa00", - "b715fc46614641bfa61fa70f5824aac3", - "920db2a75ed84b3180ce7223575e8a58", - "f4c7b8f31f054711a8ef75bb40518e82", - "f6d918d23a054f96a05b6ed767b9e9c9", - "e3044d1360e847409bff317b4a6ba9fa", - "ed4d759032de415599b121c14ec7eef3", - "5ef29256d9ec47dfaa1e7c1e5061b4ea", - "244055dba4c64e568d96fe9a96452396" - ] - }, - "executionInfo": { - "elapsed": 4361, - "status": "ok", - "timestamp": 1719068824099, - "user": { - "displayName": "Max Ostapenko", - "userId": "15524868757665302379" - }, - "user_tz": -120 - }, - "id": "DMxOKQ3vJplj", - "outputId": "993088b9-0b07-47f4-bc04-7844a0fd367f" - }, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "25c70abd54e04053a9957c5263ae6544", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Query is running: 0%| |" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "94375ae3c32e40e2b145d815e17fa370", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Downloading: 0%| |" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# This query will process 898 MB when run.\n", - "%%bigquery df_preview --project {GCP_PROJECT}\n", - "SELECT *\n", - "FROM `httparchive.all.pages`\n", - "WHERE date = '2024-05-01'\n", - " AND client='desktop'\n", - " AND is_root_page\n", - " AND rank = 1000\n", - " AND page = 'https://www.google.com/'" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 6817 - }, - "executionInfo": { - "elapsed": 1824, - "status": "ok", - "timestamp": 1719068840615, - "user": { - "displayName": "Max Ostapenko", - "userId": "15524868757665302379" - }, - "user_tz": -120 - }, - "id": "W8k33kn4fKaV", - "outputId": "86aa41c4-b322-4842-c299-15529e0f4ba7" - }, - "outputs": [ - { - "data": { - "application/vnd.google.colaboratory.intrinsic+json": { - "summary": "{\n \"name\": \"df_preview\",\n \"rows\": 1,\n \"fields\": [\n {\n \"column\": \"date\",\n \"properties\": {\n \"dtype\": \"dbdate\",\n \"num_unique_values\": 1,\n \"samples\": [\n \"2024-05-01\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"client\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 1,\n \"samples\": [\n \"desktop\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"page\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 1,\n \"samples\": [\n \"https://www.google.com/\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"is_root_page\",\n \"properties\": {\n \"dtype\": \"boolean\",\n \"num_unique_values\": 1,\n \"samples\": [\n true\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"root_page\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 1,\n \"samples\": [\n \"https://www.google.com/\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"rank\",\n \"properties\": {\n \"dtype\": \"Int64\",\n \"num_unique_values\": 1,\n \"samples\": [\n 1000\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"wptid\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 1,\n \"samples\": [\n \"240514_Dx1RL_DMOOB\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"payload\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 1,\n \"samples\": [\n \"{\\\"startedDateTime\\\":\\\"2024-05-16T10:40:35.950225\\\",\\\"title\\\":\\\"Run 1, First View for https://www.google.com/\\\",\\\"id\\\":\\\"page_1_0_1\\\",\\\"testID\\\":\\\"240514_Dx1RL_DMOOB\\\",\\\"pageTimings\\\":{\\\"onLoad\\\":2372,\\\"onContentLoad\\\":-1,\\\"_startRender\\\":500},\\\"_loadTime\\\":2372,\\\"_docTime\\\":2372,\\\"_fullyLoaded\\\":2517,\\\"_bytesOut\\\":162266,\\\"_bytesOutDoc\\\":159025,\\\"_bytesIn\\\":985082,\\\"_bytesInDoc\\\":984587,\\\"_requests\\\":39,\\\"_requestsFull\\\":39,\\\"_requestsDoc\\\":37,\\\"_responses_200\\\":29,\\\"_responses_404\\\":0,\\\"_responses_other\\\":10,\\\"_result\\\":0,\\\"_testStartOffset\\\":0,\\\"_cached\\\":0,\\\"_optimization_checked\\\":1,\\\"_main_frame\\\":\\\"682737D63193035E165E253039C5C3AC\\\",\\\"_loadEventStart\\\":2303,\\\"_loadEventEnd\\\":2306,\\\"_domContentLoadedEventStart\\\":1062,\\\"_domContentLoadedEventEnd\\\":1062,\\\"_URL\\\":\\\"https://www.google.com/\\\",\\\"_connections\\\":7,\\\"_final_base_page_request\\\":0,\\\"_final_base_page_request_id\\\":\\\"D2B15493C88A89F15F770AB50FB6B847\\\",\\\"_final_url\\\":\\\"https://www.google.com/\\\",\\\"_domInteractive\\\":442,\\\"_firstPaint\\\":473,\\\"_firstContentfulPaint\\\":543,\\\"_firstImagePaint\\\":543,\\\"_firstMeaningfulPaint\\\":543,\\\"_renderBlockingCSS\\\":1,\\\"_renderBlockingJS\\\":0,\\\"_metadata\\\":{\\\"rank\\\":1000,\\\"page_id\\\":22893419,\\\"tested_url\\\":\\\"https://www.google.com/\\\",\\\"layout\\\":\\\"Desktop\\\",\\\"crawl_depth\\\":0,\\\"link_depth\\\":0,\\\"root_page_id\\\":22893419,\\\"root_page_url\\\":\\\"https://www.google.com/\\\",\\\"root_page_test_id\\\":\\\"240514_Dx1RL_DMOOB\\\"},\\\"_TTFB\\\":254,\\\"_basePageSSLTime\\\":0,\\\"_score_cache\\\":87,\\\"_score_cdn\\\":100,\\\"_score_gzip\\\":100,\\\"_score_cookies\\\":-1,\\\"_score_keep-alive\\\":100,\\\"_score_minify\\\":-1,\\\"_score_combine\\\":-1,\\\"_score_compress\\\":100,\\\"_score_etags\\\":-1,\\\"_score_progressive_jpeg\\\":-1,\\\"_gzip_total\\\":902682,\\\"_gzip_savings\\\":0,\\\"_minify_total\\\":-1,\\\"_minify_savings\\\":-1,\\\"_image_total\\\":45379,\\\"_image_savings\\\":0,\\\"_base_page_cdn\\\":\\\"Google\\\",\\\"_cpuTimes\\\":{\\\"ParseHTML\\\":11,\\\"HTMLDocumentParser::FetchQueuedPreloads\\\":1,\\\"EventDispatch\\\":5,\\\"V8.GC_TIME_TO_SAFEPOINT\\\":1,\\\"CommitLoad\\\":0,\\\"EvaluateScript\\\":265,\\\"v8.compile\\\":51,\\\"ResourceFetcher::requestResource\\\":59,\\\"ParseAuthorStyleSheet\\\":0,\\\"FunctionCall\\\":55,\\\"UpdateLayoutTree\\\":7,\\\"Layout\\\":96,\\\"ResourceChangePriority\\\":0,\\\"PrePaint\\\":2,\\\"Paint\\\":2,\\\"Layerize\\\":1,\\\"FireIdleCallback\\\":0,\\\"HitTest\\\":0,\\\"largestContentfulPaint::Candidate\\\":0,\\\"V8.GC_HEAP_EXTERNAL_PROLOGUE\\\":0,\\\"MinorGC\\\":1,\\\"V8.GC_HEAP_PROLOGUE\\\":0,\\\"V8.GC_SCAVENGER\\\":0,\\\"V8.GC_HEAP_PROLOGUE_SAFEPOINT\\\":0,\\\"V8.GC_SCAVENGER_SCAVENGE\\\":0,\\\"V8.GC_SCAVENGER_SCAVENGE_WEAK_GLOBAL_HANDLES_IDENTIFY\\\":0,\\\"V8.GC_SCAVENGER_SCAVENGE_ROOTS\\\":0,\\\"V8.GC_SCAVENGER_SCAVENGE_PARALLEL_PHASE\\\":15,\\\"Parallel 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[Learn more about this errors in console diagnostic audit](https://developer.chrome.com/docs/lighthouse/best-practices/errors-in-console/)\\\",\\\"score\\\":0,\\\"scoreDisplayMode\\\":\\\"binary\\\",\\\"details\\\":{\\\"type\\\":\\\"table\\\",\\\"headings\\\":[{\\\"key\\\":\\\"sourceLocation\\\",\\\"valueType\\\":\\\"source-location\\\",\\\"label\\\":\\\"Source\\\"},{\\\"key\\\":\\\"description\\\",\\\"valueType\\\":\\\"code\\\",\\\"label\\\":\\\"Description\\\"}],\\\"items\\\":[{\\\"source\\\":\\\"violation\\\",\\\"description\\\":\\\"Permissions policy violation: unload is not allowed in this document.\\\",\\\"sourceLocation\\\":{\\\"type\\\":\\\"source-location\\\",\\\"url\\\":\\\"https://www.google.com/xjs/_/js/k=xjs.hd.en.X1agvzNiTt4.O/am=AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAgAAAAAIARQAAAAJQAAIAAAAAAAAABBAAAEABCA9wBACCAAgQGAAQCCADyUCQAETAAAAAABAIEABAEAQAAAAIACAAAAAAAAAAAAABxAAAIAAAAAAAAAAAAAAHQAAAIAgMAAQgAACAAAAEAeAIIDYJCCAAAAAAAAAAAAAAAIQIJgLkhAQQAEAAAAAAAAAAAAAABISScWxg/d=1/ed=1/dg=2/br=1/rs=ACT90oF25aoatTXYJh4RRs9y-CJ7NVohdQ/ee=ALeJib:B8gLwd;AfeaP:TkrAjf;Afksuc:wMx0R;BMxAGc:E5bFse;BgS6mb:fidj5d;BjwMce:cXX2Wb;CxXAWb:YyRLvc;DM55c:imLrKe;DULqB:RKfG5c;Dkk6ge:wJqrrd;DpcR3d:zL72xf;EABSZ:MXZt9d;ESrPQc:mNTJvc;EVNhjf:pw70Gc;EmZ2Bf:zr1jrb;EnlcNd:WeHg4;Erl4fe:FloWmf,FloWmf;F9mqte:UoRcbe;Fmv9Nc:O1Tzwc;G0KhTb:LIaoZ;G6wU6e:hezEbd;GleZL:J1A7Od;HMDDWe:G8QUdb;HqeXPd:cmbnH;IBADCc:RYquRb;IoGlCf:b5lhvb;IsdWVc:qzxzOb;JXS8fb:Qj0suc;JbMT3:M25sS;JsbNhc:Xd8iUd;KOxcK:OZqGte;KQzWid:ZMKkN;KcokUb:KiuZBf;KpRAue:Tia57b;LBgRLc:SdcwHb,XVMNvd;LEikZe:byfTOb,lsjVmc;LsNahb:ucGLNb;Me32dd:MEeYgc;NPKaK:SdcwHb;NSEoX:lazG7b;Np8Qkd:Dpx6qc;Nyt6ic:jn2sGd;OgagBe:cNTe0;Oj465e:KG2eXe,KG2eXe;OohIYe:mpEAQb;Pjplud:EEDORb,PoEs9b;Q1Ow7b:x5CSu;Q6C5kf:pfdZCe;QGR0gd:Mlhmy;R2kc8b:ALJqWb;R4IIIb:QWfeKf;R9Ulx:CR7Ufe;RDNBlf:zPRCJb;SLtqO:Kh1xYe;SMDL4c:fTfGO,fTfGO;SNUn3:ZwDk9d,x8cHvb;ShpF6e:N0pvGc;TxfV6d:YORN0b;U96pRd:FsR04;UDrY1c:eps46d;UVmjEd:EesRsb;UyG7Kb:wQd0G;V2HTTe:RolTY;VGRfx:VFqbr;VN6jIc:ddQyuf;VOcgDe:YquhTb;VsAqSb:PGf2Re;VxQ32b:k0XsBb;WCEKNd:I46Hvd;WDGyFe:jcVOxd;Wfmdue:g3MJlb;XUezZ:sa7lqb;YV5bee:IvPZ6d;YkQtAf:rx8ur;ZMvdv:PHFPjb;ZWEUA:afR4Cf;a56pNe:JEfCwb;aAJE9c:WHW6Ef;aCJ9tf:qKftvc;aZ61od:arTwJ;af0EJf:ghinId;bDXwRe:UsyOtc;bFZ6gf:RsDQqe;bcPXSc:gSZLJb;cEt90b:ws9Tlc;cFTWae:gT8qnd;coJ8e:KvoW8;dIoSBb:ZgGg9b;dLlj2:Qqt3Gf;daB6be:lMxGPd;dtl0hd:lLQWFe;eBAeSb:Ck63tb;eBZ5Nd:VruDBd;eHDfl:ofjVkb;eO3lse:nFClrf;fWLTFc:TVBJbf;g8nkx:U4MzKc;gaub4:TN6bMe;gtVSi:ekUOYd;h3MYod:cEt90b;hK67qb:QWEO5b;heHB1:sFczq;hjRo6e:F62sG;hsLsYc:Vl118;iFQyKf:QIhFr,vfuNJf;imqimf:jKGL2e;io8t5d:sgY6Zb;jY0zg:Q6tNgc;k2Qxcb:XY51pe;kCQyJ:ueyPK;kMFpHd:OTA3Ae;kbAm9d:MkHyGd;lkq0A:JyBE3e;nAFL3:NTMZac,s39S4;oGtAuc:sOXFj;oSUNyd:fTfGO,fTfGO;oUlnpc:RagDlc;okUaUd:wItadb;p2tIDb:tp1Cx;pKJiXd:VCenhc;pNsl2d:j9Yuyc;pXdRYb:JKoKVe;pj82le:mg5CW;qZx2Fc:j0xrE;qaS3gd:yiLg6e;qavrXe:zQzcXe;qddgKe:d7YSfd,x4FYXe;rQSrae:C6D5Fc;sP4Vbe:VwDzFe;sTsDMc:kHVSUb;tH4IIe:Ymry6;tosKvd:ZCqP3;trZL0b:qY8PFe;uY49fb:COQbmf;uknmt:GkPrzb;uuQkY:u2V3ud;vGrMZ:lPJJ0c;vfVwPd:lcrkwe;w3bZCb:ZPGaIb;w4rSdf:XKiZ9;w9w86d:dt4g2b;wQlYve:aLUfP;wR5FRb:O1Gjze,TtcOte;wV5Pjc:L8KGxe;whEZac:F4AmNb;xBbsrc:NEW1Qc;yGxLoc:FmAr0c;yxTchf:KUM7Z;z97YGf:oug9te;zOsCQe:Ko78Df;zaIgPb:Qtpxbd/m=cdos,hsm,jsa,mb4ZUb,d,csi,cEt90b,SNUn3,qddgKe,sTsDMc,dtl0hd,eHDfl\\\",\\\"urlProvider\\\":\\\"network\\\",\\\"line\\\":427,\\\"column\\\":246}}]}},\\\"server-response-time\\\":{\\\"id\\\":\\\"server-response-time\\\",\\\"title\\\":\\\"Initial server response time was short\\\",\\\"description\\\":\\\"Keep the server response time for the main document short because all other requests depend on it. [Learn more about the Time to First Byte metric](https://developer.chrome.com/docs/lighthouse/performance/time-to-first-byte/).\\\",\\\"score\\\":1,\\\"scoreDisplayMode\\\":\\\"informative\\\",\\\"numericValue\\\":141.021,\\\"numericUnit\\\":\\\"millisecond\\\",\\\"displayValue\\\":\\\"Root document took 140\\u00a0ms\\\",\\\"metricSavings\\\":{\\\"FCP\\\":50,\\\"LCP\\\":50},\\\"details\\\":{\\\"type\\\":\\\"opportunity\\\",\\\"headings\\\":[{\\\"key\\\":\\\"url\\\",\\\"valueType\\\":\\\"url\\\",\\\"label\\\":\\\"URL\\\"},{\\\"key\\\":\\\"responseTime\\\",\\\"valueType\\\":\\\"timespanMs\\\",\\\"label\\\":\\\"Time Spent\\\"}],\\\"items\\\":[{\\\"url\\\":\\\"https://www.google.com/\\\",\\\"responseTime\\\":141.021}],\\\"overallSavingsMs\\\":41.02099999999999},\\\"guidanceLevel\\\":1},\\\"interactive\\\":{\\\"id\\\":\\\"interactive\\\",\\\"title\\\":\\\"Time to Interactive\\\",\\\"description\\\":\\\"Time to Interactive is the amount of time it takes for the page to become fully interactive. [Learn more about the Time to Interactive metric](https://developer.chrome.com/docs/lighthouse/performance/interactive/).\\\",\\\"score\\\":1,\\\"scoreDisplayMode\\\":\\\"numeric\\\",\\\"numericValue\\\":1114.671,\\\"numericUnit\\\":\\\"millisecond\\\",\\\"displayValue\\\":\\\"1.1\\u00a0s\\\"},\\\"user-timings\\\":{\\\"id\\\":\\\"user-timings\\\",\\\"title\\\":\\\"User Timing marks and measures\\\",\\\"description\\\":\\\"Consider instrumenting your app with the User Timing API to measure your app's real-world performance during key user experiences. [Learn more about User Timing marks](https://developer.chrome.com/docs/lighthouse/performance/user-timings/).\\\",\\\"score\\\":1,\\\"scoreDisplayMode\\\":\\\"informative\\\",\\\"displayValue\\\":\\\"10 user timings\\\",\\\"details\\\":{\\\"type\\\":\\\"table\\\",\\\"headings\\\":[{\\\"key\\\":\\\"name\\\",\\\"valueType\\\":\\\"text\\\",\\\"label\\\":\\\"Name\\\"},{\\\"key\\\":\\\"timingType\\\",\\\"valueType\\\":\\\"text\\\",\\\"label\\\":\\\"Type\\\"},{\\\"key\\\":\\\"startTime\\\",\\\"valueType\\\":\\\"ms\\\",\\\"granularity\\\":0.01,\\\"label\\\":\\\"Start Time\\\"},{\\\"key\\\":\\\"duration\\\",\\\"valueType\\\":\\\"ms\\\",\\\"granularity\\\":0.01,\\\"label\\\":\\\"Duration\\\"}],\\\"items\\\":[{\\\"name\\\":\\\"fcbyXe\\\",\\\"startTime\\\":703.942,\\\"duration\\\":28.957,\\\"timingType\\\":\\\"Measure\\\"},{\\\"name\\\":\\\"kDcP9b\\\",\\\"startTime\\\":706.924,\\\"duration\\\":24.375,\\\"timingType\\\":\\\"Measure\\\"},{\\\"name\\\":\\\"fcbyXe\\\",\\\"startTime\\\":767.841,\\\"duration\\\":0.358,\\\"timingType\\\":\\\"Measure\\\"},{\\\"name\\\":\\\"fcbyXe\\\",\\\"startTime\\\":1182.676,\\\"duration\\\":0.324,\\\"timingType\\\":\\\"Measure\\\"},{\\\"name\\\":\\\"SearchAFTStart\\\",\\\"startTime\\\":282,\\\"timingType\\\":\\\"Mark\\\"},{\\\"name\\\":\\\"trigger:SearchAFTEnd\\\",\\\"startTime\\\":505,\\\"timingType\\\":\\\"Mark\\\"},{\\\"name\\\":\\\"triggerRender_0\\\",\\\"startTime\\\":703.942,\\\"timingType\\\":\\\"Mark\\\"},{\\\"name\\\":\\\"O7jPNb\\\",\\\"startTime\\\":706.924,\\\"timingType\\\":\\\"Mark\\\"},{\\\"name\\\":\\\"triggerRender_1\\\",\\\"startTime\\\":767.841,\\\"timingType\\\":\\\"Mark\\\"},{\\\"name\\\":\\\"triggerRender_2\\\",\\\"startTime\\\":1182.676,\\\"timingType\\\":\\\"Mark\\\"}]},\\\"guidanceLevel\\\":2},\\\"critical-request-chains\\\":{\\\"id\\\":\\\"critical-request-chains\\\",\\\"title\\\":\\\"Avoid chaining critical requests\\\",\\\"description\\\":\\\"The Critical Request Chains below show you what resources are loaded with a high priority. Consider reducing the length of chains, reducing the download size of resources, or deferring the download of unnecessary resources to improve page load. [Learn how to avoid chaining critical requests](https://developer.chrome.com/docs/lighthouse/performance/critical-request-chains/).\\\",\\\"score\\\":1,\\\"scoreDisplayMode\\\":\\\"informative\\\",\\\"displayValue\\\":\\\"2 chains found\\\",\\\"details\\\":{\\\"type\\\":\\\"criticalrequestchain\\\",\\\"chains\\\":{\\\"94E918B5417340A96230EA63AC399CF8\\\":{\\\"request\\\":{\\\"url\\\":\\\"https://www.google.com/\\\",\\\"startTime\\\":73755.313002,\\\"endTime\\\":73755.533201,\\\"responseReceivedTime\\\":73755.456297,\\\"transferSize\\\":55952},\\\"children\\\":{\\\"498041.2\\\":{\\\"request\\\":{\\\"url\\\":\\\"https://www.google.com/xjs/_/ss/k=xjs.hd.yW324tanFjY.L.B1.O/am=AKYAAAAAAADAAAAAAAAAAAAAAAAAAIAAAAgAAAAAAAWAQDgAAcCGAAAAAAEAAAAAAAAEAAAA4wAAAIAAgQCAAUCAAAAAAAiEAEAABBABJIEgAwEARDDCAKQCAAMAAAACSAAAAABAAAEIDIgACHgIAQAADHRAAAkAAMAAQgAAAAAAAAAIAAAAAAAAAAAAAAAAAAAAAAAAAIAAAABAAQAAAAAAAAAAAAAAAAAAAQ/d=1/ed=1/br=1/rs=ACT90oGsNS-Aw40wHxbiNjKwCEWc-sPAPg/m=cdos,hsm,jsa,mb4ZUb,d,csi,cEt90b,SNUn3,qddgKe,sTsDMc,dtl0hd,eHDfl\\\",\\\"startTime\\\":73755.492207,\\\"endTime\\\":73755.544688,\\\"responseReceivedTime\\\":73755.540241,\\\"transferSize\\\":1108}},\\\"498041.10\\\":{\\\"request\\\":{\\\"url\\\":\\\"https://www.gstatic.com/og/_/ss/k=og.qtm.RS0dNtaZmo0.L.W.O/m=qcwid/excm=qaaw,qadd,qaid,qein,qhaw,qhba,qhbr,qhch,qhga,qhid,qhin/d=1/ed=1/ct=zgms/rs=AA2YrTuhe2hCYlalU7rKCW-qT_-zMhVRaw\\\",\\\"startTime\\\":73755.626312,\\\"endTime\\\":73755.884866,\\\"responseReceivedTime\\\":73755.88408399999,\\\"transferSize\\\":1149}}}}},\\\"longestChain\\\":{\\\"duration\\\":571.8640000075102,\\\"length\\\":2,\\\"transferSize\\\":1149}},\\\"guidanceLevel\\\":1},\\\"redirects\\\":{\\\"id\\\":\\\"redirects\\\",\\\"title\\\":\\\"Avoid multiple page redirects\\\",\\\"description\\\":\\\"Redirects introduce additional delays before the page can be loaded. [Learn how to avoid page redirects](https://developer.chrome.com/docs/lighthouse/performance/redirects/).\\\",\\\"score\\\":1,\\\"scoreDisplayMode\\\":\\\"metricSavings\\\",\\\"numericValue\\\":0,\\\"numericUnit\\\":\\\"millisecond\\\",\\\"displayValue\\\":\\\"\\\",\\\"metricSavings\\\":{\\\"LCP\\\":0,\\\"FCP\\\":0},\\\"details\\\":{\\\"type\\\":\\\"opportunity\\\",\\\"headings\\\":[],\\\"items\\\":[],\\\"overallSavingsMs\\\":0},\\\"guidanceLevel\\\":2},\\\"image-aspect-ratio\\\":{\\\"id\\\":\\\"image-aspect-ratio\\\",\\\"title\\\":\\\"Displays images with correct aspect ratio\\\",\\\"description\\\":\\\"Image display dimensions should match natural aspect ratio. [Learn more about image aspect ratio](https://developer.chrome.com/docs/lighthouse/best-practices/image-aspect-ratio/).\\\",\\\"score\\\":1,\\\"scoreDisplayMode\\\":\\\"binary\\\",\\\"details\\\":{\\\"type\\\":\\\"table\\\",\\\"headings\\\":[],\\\"items\\\":[]}},\\\"image-size-responsive\\\":{\\\"id\\\":\\\"image-size-responsive\\\",\\\"title\\\":\\\"Serves images with appropriate resolution\\\",\\\"description\\\":\\\"Image natural dimensions should be proportional to the display size and the pixel ratio to maximize image clarity. [Learn how to provide responsive images](https://web.dev/articles/serve-responsive-images).\\\",\\\"score\\\":1,\\\"scoreDisplayMode\\\":\\\"binary\\\",\\\"details\\\":{\\\"type\\\":\\\"table\\\",\\\"headings\\\":[],\\\"items\\\":[]}},\\\"deprecations\\\":{\\\"id\\\":\\\"deprecations\\\",\\\"title\\\":\\\"Avoids deprecated APIs\\\",\\\"description\\\":\\\"Deprecated APIs will eventually be removed from the browser. [Learn more about deprecated APIs](https://developer.chrome.com/docs/lighthouse/best-practices/deprecations/).\\\",\\\"score\\\":1,\\\"scoreDisplayMode\\\":\\\"binary\\\",\\\"details\\\":{\\\"type\\\":\\\"table\\\",\\\"headings\\\":[],\\\"items\\\":[]}},\\\"third-party-cookies\\\":{\\\"id\\\":\\\"third-party-cookies\\\",\\\"title\\\":\\\"Avoids third-party cookies\\\",\\\"description\\\":\\\"Support for third-party cookies will be removed in a future version of Chrome. [Learn more about phasing out third-party cookies](https://developer.chrome.com/en/docs/privacy-sandbox/third-party-cookie-phase-out/).\\\",\\\"score\\\":1,\\\"scoreDisplayMode\\\":\\\"binary\\\",\\\"details\\\":{\\\"type\\\":\\\"table\\\",\\\"headings\\\":[],\\\"items\\\":[]}},\\\"mainthread-work-breakdown\\\":{\\\"id\\\":\\\"mainthread-work-breakdown\\\",\\\"title\\\":\\\"Minimizes main-thread work\\\",\\\"description\\\":\\\"Consider reducing the time spent parsing, compiling and executing JS. You may find delivering smaller JS payloads helps with this. [Learn how to minimize main-thread work](https://developer.chrome.com/docs/lighthouse/performance/mainthread-work-breakdown/)\\\",\\\"score\\\":1,\\\"scoreDisplayMode\\\":\\\"informative\\\",\\\"numericValue\\\":665.2169999999993,\\\"numericUnit\\\":\\\"millisecond\\\",\\\"displayValue\\\":\\\"0.7\\u00a0s\\\",\\\"metricSavings\\\":{\\\"TBT\\\":50},\\\"details\\\":{\\\"type\\\":\\\"table\\\",\\\"headings\\\":[{\\\"key\\\":\\\"groupLabel\\\",\\\"valueType\\\":\\\"text\\\",\\\"label\\\":\\\"Category\\\"},{\\\"key\\\":\\\"duration\\\",\\\"valueType\\\":\\\"ms\\\",\\\"granularity\\\":1,\\\"label\\\":\\\"Time Spent\\\"}],\\\"items\\\":[{\\\"group\\\":\\\"scriptEvaluation\\\",\\\"groupLabel\\\":\\\"Script Evaluation\\\",\\\"duration\\\":283.60299999999967},{\\\"group\\\":\\\"other\\\",\\\"groupLabel\\\":\\\"Other\\\",\\\"duration\\\":255.82699999999946},{\\\"group\\\":\\\"styleLayout\\\",\\\"groupLabel\\\":\\\"Style & Layout\\\",\\\"duration\\\":45.224000000000004},{\\\"group\\\":\\\"scriptParseCompile\\\",\\\"groupLabel\\\":\\\"Script Parsing & Compilation\\\",\\\"duration\\\":33.52},{\\\"group\\\":\\\"garbageCollection\\\",\\\"groupLabel\\\":\\\"Garbage Collection\\\",\\\"duration\\\":25.96},{\\\"group\\\":\\\"parseHTML\\\",\\\"groupLabel\\\":\\\"Parse HTML & CSS\\\",\\\"duration\\\":17.401999999999994},{\\\"group\\\":\\\"paintCompositeRender\\\",\\\"groupLabel\\\":\\\"Rendering\\\",\\\"duration\\\":3.680999999999995}],\\\"sortedBy\\\":[\\\"duration\\\"]},\\\"guidanceLevel\\\":1},\\\"bootup-time\\\":{\\\"id\\\":\\\"bootup-time\\\",\\\"title\\\":\\\"JavaScript execution time\\\",\\\"description\\\":\\\"Consider reducing the time spent parsing, compiling, and executing JS. You may find delivering smaller JS payloads helps with this. [Learn how to reduce Javascript execution time](https://developer.chrome.com/docs/lighthouse/performance/bootup-time/).\\\",\\\"score\\\":1,\\\"scoreDisplayMode\\\":\\\"informative\\\",\\\"numericValue\\\":256.09500000000014,\\\"numericUnit\\\":\\\"millisecond\\\",\\\"displayValue\\\":\\\"0.3\\u00a0s\\\",\\\"metricSavings\\\":{\\\"TBT\\\":50},\\\"details\\\":{\\\"type\\\":\\\"table\\\",\\\"headings\\\":[{\\\"key\\\":\\\"url\\\",\\\"valueType\\\":\\\"url\\\",\\\"label\\\":\\\"URL\\\"},{\\\"key\\\":\\\"total\\\",\\\"granularity\\\":1,\\\"valueType\\\":\\\"ms\\\",\\\"label\\\":\\\"Total CPU Time\\\"},{\\\"key\\\":\\\"scripting\\\",\\\"granularity\\\":1,\\\"valueType\\\":\\\"ms\\\",\\\"label\\\":\\\"Script Evaluation\\\"},{\\\"key\\\":\\\"scriptParseCompile\\\",\\\"granularity\\\":1,\\\"valueType\\\":\\\"ms\\\",\\\"label\\\":\\\"Script 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[Learn how to preconnect to required origins](https://developer.chrome.com/docs/lighthouse/performance/uses-rel-preconnect/).\\\",\\\"score\\\":1,\\\"scoreDisplayMode\\\":\\\"metricSavings\\\",\\\"numericValue\\\":0,\\\"numericUnit\\\":\\\"millisecond\\\",\\\"displayValue\\\":\\\"\\\",\\\"warnings\\\":[],\\\"metricSavings\\\":{\\\"LCP\\\":0,\\\"FCP\\\":0},\\\"details\\\":{\\\"type\\\":\\\"opportunity\\\",\\\"headings\\\":[],\\\"items\\\":[],\\\"overallSavingsMs\\\":0,\\\"sortedBy\\\":[\\\"wastedMs\\\"]},\\\"guidanceLevel\\\":3},\\\"font-display\\\":{\\\"id\\\":\\\"font-display\\\",\\\"title\\\":\\\"All text remains visible during webfont loads\\\",\\\"description\\\":\\\"Leverage the `font-display` CSS feature to ensure text is user-visible while webfonts are loading. [Learn more about `font-display`](https://developer.chrome.com/docs/lighthouse/performance/font-display/).\\\",\\\"score\\\":1,\\\"scoreDisplayMode\\\":\\\"metricSavings\\\",\\\"warnings\\\":[],\\\"details\\\":{\\\"type\\\":\\\"table\\\",\\\"headings\\\":[],\\\"items\\\":[]},\\\"guidanceLevel\\\":3},\\\"diagnostics\\\":{\\\"id\\\":\\\"diagnostics\\\",\\\"title\\\":\\\"Diagnostics\\\",\\\"description\\\":\\\"Collection of useful page 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[Learn more about ARIA roles](https://dequeuniversity.com/rules/axe/4.9/aria-allowed-role).\\\",\\\"score\\\":0,\\\"scoreDisplayMode\\\":\\\"binary\\\",\\\"details\\\":{\\\"type\\\":\\\"table\\\",\\\"headings\\\":[{\\\"key\\\":\\\"node\\\",\\\"valueType\\\":\\\"node\\\",\\\"subItemsHeading\\\":{\\\"key\\\":\\\"relatedNode\\\",\\\"valueType\\\":\\\"node\\\"},\\\"label\\\":\\\"Failing Elements\\\"}],\\\"items\\\":[{\\\"node\\\":{\\\"type\\\":\\\"node\\\",\\\"lhId\\\":\\\"1-0-TEXTAREA\\\",\\\"path\\\":\\\"1,HTML,1,BODY,1,DIV,2,DIV,2,FORM,0,DIV,0,DIV,1,DIV,0,DIV,1,DIV,2,TEXTAREA\\\",\\\"selector\\\":\\\"div.RNNXgb > div.SDkEP > div.a4bIc > textarea#APjFqb\\\",\\\"boundingRect\\\":{\\\"top\\\":388,\\\"bottom\\\":415,\\\"left\\\":716,\\\"right\\\":1159,\\\"width\\\":443,\\\"height\\\":27},\\\"snippet\\\":\\\"
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    \n", - " \n", - "\n", - "\n", - " \n", - " \n" - ], - "application/vnd.google.colaboratory.intrinsic+json": { - "type": "dataframe", - "summary": "{\n \"name\": \"get_ipython()\",\n \"rows\": 1,\n \"fields\": [\n {\n \"column\": \"requests\",\n \"properties\": {\n \"dtype\": \"Int64\",\n \"num_unique_values\": 1,\n \"samples\": [\n 2393199079\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"pages\",\n \"properties\": {\n \"dtype\": \"Int64\",\n \"num_unique_values\": 1,\n \"samples\": [\n 24485975\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}" - } - }, - "metadata": {}, - "execution_count": 8 - } - ], - "source": [ - "# This query will process 137 GB when run.\n", - "%%bigquery --project {GCP_PROJECT}\n", - "SELECT\n", - " COUNT(0) requests,\n", - " COUNT(DISTINCT page) pages\n", - "FROM `httparchive.all.requests`\n", - "WHERE date = \"2024-05-01\"\n", - " AND client = 'desktop'" - ] + "cells": [ + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "id": "SeTJb51SKs_W" + }, + "outputs": [], + "source": [ + "from google.colab import auth\n", + "auth.authenticate_user()" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "id": "HfqMMAve6r8Q" + }, + "outputs": [], + "source": [ + "GCP_PROJECT = 'httparchive' # @param {type: \"string\"}" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "VxYqq5lkewFF" + }, + "source": [ + "The [`requests`](https://har.fyi/reference/tables/requests/) tables contain details about all HTTP requests made by the 24.5 million pages tracked in the archive. This dataset is quite large, as you can see by the aggregate query that counts all rows in the table" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 145, + "referenced_widgets": [ + "7b9970adfc8b467abae929a9e60df9b6", + "bed750dded6e4a3ea7c68739c7492a88", + "b05f788e6d1245b88a3bc644431e1b86", + "c711a92264ae43d7b483478e09959ac4", + "c388a75817214d478bd91b11700b8933", + "fb792dd762c24c8087b03283297919e6", + "da69b6bfcc354dab850ed1e7315c1ea5", + "5115195d57564559a70b1b18e5c33206", + "39e33bd843674d5b8c92512ee3fdc405", + "c4be651cc9134bf798adea4b86ed0cf8", + "6a07dd02a01840e98e185c236cafc6ca", + "1c2f1672573a476ba3749f30e7984456", + "c017d96ab4054bd2807187bf7187cf39", + "81e48b0a267e4cdf8878ce5917e3091a", + "974f8ec174a546acbfd79b45bf5f6200", + "7549de7e8a044d0695e8e4fdabfa49c5", + "12b58872a86d4988bfa42f47ecf871dc", + "f5a5f8f5a0e148aeadd13c277f9b92e3", + "155b79ac5f4543d38d0d6aa6bf601acc", + "8f23d945ea154df48c4295ce23dd7105", + "eef2d10edf9447788468f5003e74ac4e", + "a455834a03f0413dbdcc91843f3cc7f7" + ] + }, + "id": "e_uYeb-Iezgo", + "outputId": "c4f478d8-a8a7-4053-d8eb-0f52a8fda7c6" + }, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "7b9970adfc8b467abae929a9e60df9b6", + "version_major": 2, + "version_minor": 0 }, - { - "cell_type": "markdown", - "metadata": { - "id": "6JMM1rJ8e-DG" - }, - "source": [ - "We already knew the number of pages from previous queries, but now lets add a dimension to the query to explore this table some more. The following query adds the 'type' column, which indicates the type of resource loaded (ie, script, image, css, etc)" - ] + "text/plain": [ + "Query is running: 0%| |" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "1c2f1672573a476ba3749f30e7984456", + "version_major": 2, + "version_minor": 0 }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 458, - "referenced_widgets": [ - "b81a59d22a4b463f91c643b83101ac91", - "e1d6b0f20e7c4927bc12f713f66af7ed", - "8d2872d4672441fdb56d56ac356f233f", - "626b16557d324192827040d52cd8af8c", - "722288e29a2c4fc7af2af5abff7a6c95", - "b5d2f46b570241d893fa06f8cb5653c2", - "fcf9542f8738486a9fa68de5c92eee6c", - "fef097b977de4914bfecbf5e01efca76", - "6c56bffd052a43f0894a278059d81d41", - "1ebe3a05981a4883a6486937c2f67641", - "818e130806b6471996e92dd9ee0fbd1f", - "23a689fbfe664bda967ec827df983a98", - "d438be0c560c4be3ae97f7ac2be66db1", - "5d313adea9d6494f9f19492d961fc7df", - "dd1c8444ecd7453683f7cd3b1d7b827f", - "fe6ff28f72ea4a2892d765cfa7fd7a78", - "9b28fd630f9a42569daa50b8e771dede", - "3cd12777d47c4c318bac3faf822eddfa", - "30cafd3986334741ab53a9c02c566954", - "ad6a31602360469aa0e9a750eb538152", - "21d4d9faa7304604938a620f22dadddd", - "e8255dbf9e40458ab3fb0104f1eff5c3" - ] - }, - "id": "koKF_VyLfBG7", - "outputId": "c2236403-a1a1-4f43-e29d-9ea84ec108fc" - }, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "Query is running: 0%| |" - ], - "application/vnd.jupyter.widget-view+json": { - "version_major": 2, - "version_minor": 0, - "model_id": "b81a59d22a4b463f91c643b83101ac91" - } - }, - "metadata": {} - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "Downloading: 0%| |" - ], - "application/vnd.jupyter.widget-view+json": { - "version_major": 2, - "version_minor": 0, - "model_id": "23a689fbfe664bda967ec827df983a98" - } - }, - "metadata": {} - }, - { - "output_type": "execute_result", - "data": { - "text/plain": [ - " type requests pages\n", - "0 script 813565233 23556030\n", - "1 image 747018774 24146223\n", - "2 css 278463773 23259825\n", - "3 other 194533696 11901742\n", - "4 html 185868729 24145122\n", - "5 font 128104348 21224863\n", - "6 text 64065722 14736086\n", - "7 video 7191779 1407697\n", - "8 xml 2714133 747170\n", - "9 audio 1177141 518769\n", - "10 wasm 142421 51063" - ], - "text/html": [ - "\n", - "
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There are also numerous other columns for collecting information from request and response headers, types of objects, and even a partial dump of response body in the `response_body` column." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 217, + "referenced_widgets": [ + "0c0eec77f49142c3a73757f4f2099df7", + "2c6e5fa0ba0545249c2bdf97251ff2f9", + "0b830e04edc749ea8c99b09f557b0f32", + "5277c81c9b604888a6c6bae719d0b21e", + "e741608d240b4ab488ba7b815a510b44", + "c6a1814737b54dbcb17578da64361817", + "3e088542ee8f4923840e811b8e1bc151", + "d79397ea571f47cfa52516d1eaf2d9e1", + "23ba083852e243fdb609a8db852be080", + "05acbc43be494212b2dc7e1f560f1da1", + "8c3b189158984da69b2a73fbb80fe1ec", + "4fef5080ee7f460b8c012a1b8cce6b3b", + "7dce49ea38504712af48f48e087054f1", + "e177fa73a53c46baa5dc3ac67f62addd", + "6a6d3eb53bf346a79bc89f5d85b6156a", + "9abb21fb1e614cc3bbb5fc0a70d12d78", + "2775f88b01da48a78a394ea091515c66", + "711a772d46e343f0bab596e41398c176", + "975bcdba74f14a4797fc50d8189487a4", + "7b12c0ba16a3485f858e4601978ca230", + "c7453e7292c44d5a8e09acd0266dd52d", + "018fb4f7b06b41bdb766b9c2ef1f35be" + ] + }, + "id": "a4svvdb1RDXg", + "outputId": "44d24ed4-9255-4794-f88e-6de02f3c50c4" + }, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "0c0eec77f49142c3a73757f4f2099df7", + "version_major": 2, + "version_minor": 0 }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 81, - "referenced_widgets": [ - "c636d88bd0f44e42b8d93df1bc9c3f1f", - "a1375461f2024c8ca3d34092ad7d1bff", - "4f6978590e9b43d88d8e44322d06b30f", - "a2cf84f40d7d4a66957449c78dbfa886", - "b98d2b861b8f41ed8bc5aebd16aefa30", - "98c4fa4f77e14436ab7bf540b7535745", - "247f3cba522248efa8b3c02f273115cc", - "72ea553d38324817931f62386369e0b3", - "40c6d92fcdf644e08524118d4be803ce", - "bd79588291e84b43874a8c876e9e2375", - "754b568b48f24dcc8371064444cd9c6d", - "16e8f5f8073a422c8ea758411256b4e0", - "86a08cddcce2496c98f704ff510e1662", - "2bfdadf2db3e450fbcb7c9fa0da75e89", - "789dc96f3a774151bf77c6cd7de82ef1", - "49cdc874343048e59c9fc63d74a11671", - "aed19a77ec0147c18bee3038ac714b88", - "61a56381161246d99df0c5fa61dc4bfc", - "6b374ee8e5164ab4bde4540c337c68ec", - "78391a9a45dc48fbbb7f556858fd0c6e", - "13798013579345c98f9edf79f0c55005", - "c47ed81c7ae944f7a8b1166a7b164bf7" - ] - }, - "id": "HyaE62NTfGe9", - "outputId": "29a7d0ae-69de-4792-8020-46b3e5306068" - }, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "Query is running: 0%| |" - ], - "application/vnd.jupyter.widget-view+json": { - "version_major": 2, - "version_minor": 0, - "model_id": "c636d88bd0f44e42b8d93df1bc9c3f1f" - } - }, - "metadata": {} - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "Downloading: 0%| |" - ], - "application/vnd.jupyter.widget-view+json": { - "version_major": 2, - "version_minor": 0, - "model_id": "16e8f5f8073a422c8ea758411256b4e0" - } - }, - "metadata": {} - } - ], - "source": [ - "# This query will process 153 GB when run.\n", - "%%bigquery requests_type_df --project {GCP_PROJECT}\n", - "WITH requests AS (\n", - " SELECT\n", - " type,\n", - " page,\n", - " COUNT(0) OVER() AS total_requests,\n", - " COUNT(DISTINCT page) OVER() AS total_pages\n", - " FROM `httparchive.all.requests`\n", - " WHERE date = '2024-05-01'\n", - " AND client = 'desktop'\n", - ")\n", - "\n", - "SELECT\n", - " type,\n", - " COUNT(0) requests,\n", - " COUNT(DISTINCT page) pages,\n", - " ROUND(COUNT(0) / ANY_VALUE(total_requests), 2) percent_requests,\n", - " ROUND(COUNT(DISTINCT page) / ANY_VALUE(total_pages), 2) percent_pages\n", - "FROM requests\n", - "GROUP BY type\n", - "ORDER BY requests DESC" - ] + "text/plain": [ + "Query is running: 0%| |" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "4fef5080ee7f460b8c012a1b8cce6b3b", + "version_major": 2, + "version_minor": 0 }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 394 - }, - "id": "30c8TCmWmQ9w", - "outputId": "f735c7ad-bb37-4481-ed1c-60e0ef05619c" - }, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - " type requests pages percent_requests percent_pages\n", - "0 script 817636850 23885146 0.34 0.98\n", - "1 image 744181758 24465443 0.31 1.00\n", - "2 css 279208078 23575222 0.12 0.96\n", - "3 other 187424669 12001071 0.08 0.49\n", - "4 html 162335275 24462613 0.07 1.00\n", - "5 font 128926306 21491621 0.05 0.88\n", - "6 text 62780147 14798581 0.03 0.60\n", - "7 video 6874793 1377851 0.00 0.06\n", - "8 xml 2504041 772155 0.00 0.03\n", - "9 audio 1184613 504820 0.00 0.02\n", - "10 wasm 142549 59759 0.00 0.00" - ], - "text/html": [ - "\n", - "
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\\\"_gzip_save\\\": 0, \\\"method\\\": \\\"GET\\\", \\\"url\\\": \\\"https://www.google.com.gh/\\\", \\\"urlShort\\\": \\\"https://www.google.com.gh/\\\", \\\"reqHeadersSize\\\": 947, \\\"reqBodySize\\\": null, \\\"reqOtherHeaders\\\": \\\"priority = u=0, i, sec-ch-ua = \\\\\\\" Not A;Brand\\\\\\\";v=\\\\\\\"99\\\\\\\", \\\\\\\"Chromium\\\\\\\";v=\\\\\\\"124\\\\\\\", \\\\\\\"Google Chrome\\\\\\\";v=\\\\\\\"124\\\\\\\", sec-ch-ua-arch = \\\\\\\"x86\\\\\\\", sec-ch-ua-bitness = \\\\\\\"64\\\\\\\", sec-ch-ua-full-version-list = \\\\\\\" Not A;Brand\\\\\\\";v=\\\\\\\"99\\\\\\\", \\\\\\\"Chromium\\\\\\\";v=\\\\\\\"124.0.0.0\\\\\\\", \\\\\\\"Google Chrome\\\\\\\";v=\\\\\\\"124.0.0.0\\\\\\\", sec-ch-ua-mobile = ?0, sec-ch-ua-model = \\\\\\\"Model\\\\\\\", sec-ch-ua-platform = \\\\\\\"Unknown\\\\\\\", sec-ch-ua-platform-version = \\\\\\\"0\\\\\\\", sec-ch-ua-wow64 = ?0, sec-fetch-dest = document, sec-fetch-mode = navigate, sec-fetch-site = cross-site, upgrade-insecure-requests = 1, x-client-data = CNfrygE=\\\", \\\"reqCookieLen\\\": 0, \\\"status\\\": 200, \\\"respHttpVersion\\\": \\\"HTTP/2\\\", \\\"redirectUrl\\\": null, \\\"respHeadersSize\\\": 1779, \\\"respBodySize\\\": 56787, \\\"respSize\\\": 56787, \\\"mimeType\\\": \\\"text/html\\\", \\\"ext\\\": \\\"\\\", \\\"type\\\": \\\"html\\\", \\\"format\\\": \\\"\\\", \\\"respOtherHeaders\\\": \\\"accept-ch = Sec-CH-UA-Platform, accept-ch = Sec-CH-UA-Platform-Version, accept-ch = Sec-CH-UA-Full-Version, accept-ch = Sec-CH-UA-Arch, accept-ch = Sec-CH-UA-Model, accept-ch = Sec-CH-UA-Bitness, accept-ch = Sec-CH-UA-Full-Version-List, accept-ch = Sec-CH-UA-WoW64, content-security-policy-report-only = object-src 'none';base-uri 'self';script-src 'nonce-9wxr-CpHUx-3aShmmrmtKQ' 'strict-dynamic' 'report-sample' 'unsafe-eval' 'unsafe-inline' https: http:;report-uri https://csp.withgoogle.com/csp/gws/other-hp, cross-origin-opener-policy = same-origin-allow-popups; report-to=\\\\\\\"gws\\\\\\\", p3p = CP=\\\\\\\"This is not a P3P policy! 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    \\\"Google\\\"
    Choose what you\\u2019re giving feedback on
    • \\\"\\\"
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      See more
      Delete
    • \\\"\\\"
      \\\"\\\"\\\"\\\"
    • Delete
      • \\\"\\\"
      \\\"\\\"\\\"\\\"
      • Report inappropriate predictions
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      \n", + " \n", + "\n", + "\n", + " \n", + " \n" + ], + "text/plain": [ + " date client page is_root_page \\\n", + "0 2024-05-01 desktop https://www.google.com.gh/ True \n", + "\n", + " root_page url is_main_document \\\n", + "0 https://www.google.com.gh/ https://www.google.com.gh/ True \n", + "\n", + " type index payload \\\n", + "0 html 1 {\"pageref\":\"page_1_0_1\",\"_run\":1,\"_cached\":0,\"... \n", + "\n", + " summary \\\n", + "0 {\"requestid\": 97122220018499585, \"pageid\": 226... \n", + "\n", + " request_headers \\\n", + "0 [{'name': 'accept', 'value': 'text/html,applic... \n", + "\n", + " response_headers \\\n", + "0 [{'name': 'accept-ch', 'value': 'Sec-CH-UA-Pla... \n", + "\n", + " response_body \n", + "0 \n", - "" - ], - "text/plain": [ - "alt.LayerChart(...)" - ] - }, - "metadata": {}, - "execution_count": 13 - } - ], - "source": [ - "import altair as alt\n", - "\n", - "pie_chart_requests = alt.Chart(requests_type_df).mark_arc().encode(\n", - " theta=alt.Theta(field=\"percent_requests\", type=\"quantitative\", stack=True),\n", - " color=alt.Color(field=\"type\", type=\"nominal\", sort=None),\n", - " order=alt.Order(field=\"percent_requests\", type=\"quantitative\",sort='descending'),\n", - " tooltip=[\"type\", alt.Tooltip(\"percent_requests:Q\", format=\".0%\")]\n", - ").properties(\n", - " title=\"Requests by Type\"\n", - ")\n", - "pie_chart_requests + pie_chart_requests.mark_text(\n", - " radius=170\n", - ").encode(\n", - " text=alt.Text(\"percent_requests:Q\", format=\".0%\")\n", - ")" - ] + "text/plain": [ + "Query is running: 0%| |" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "ce31837795ff47d585f49b6df827bc14", + "version_major": 2, + "version_minor": 0 }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 414 - }, - "id": "Kf8aU76Qm_ym", - "outputId": "5cfdbd66-8995-4b72-c6ae-9bcb268061bd" - }, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/html": [ - "\n", - "
      \n", - "" - ], - "text/plain": [ - "alt.LayerChart(...)" - ] - }, - "metadata": {}, - "execution_count": 14 - } - ], - "source": [ - "bar_chart_pages = alt.Chart(requests_type_df).mark_bar().encode(\n", - " x=alt.X(\"type\", title=\"Type\", sort=None),\n", - " y=alt.Y(\"percent_pages\", title=\"Percent Pages\"),\n", - " color=alt.Color(field=\"type\", sort=None),\n", - " tooltip=[\"type\", \"percent_pages\"]\n", - ").properties(\n", - " title=\"Percent Pages by Type\"\n", - ")\n", - "bar_chart_pages + bar_chart_pages.mark_text(\n", - " dy=-10,\n", - ").encode(\n", - " text=alt.Text(\"percent_pages:Q\", format=\".0%\")\n", - ")" - ] + "text/plain": [ + "Downloading: 0%| |" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.google.colaboratory.intrinsic+json": { + "summary": "{\n \"name\": \"get_ipython()\",\n \"rows\": 1,\n \"fields\": [\n {\n \"column\": \"requests\",\n \"properties\": {\n \"dtype\": \"Int64\",\n \"num_unique_values\": 1,\n \"samples\": [\n 2393199079\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"pages\",\n \"properties\": {\n \"dtype\": \"Int64\",\n \"num_unique_values\": 1,\n \"samples\": [\n 24485975\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}", + "type": "dataframe" }, - { - "cell_type": "markdown", - "metadata": { - "id": "XvgAaUVsmFMh" - }, - "source": [ - "Let's say we want to extend this query some more and look at the formats of each type. Now we have a query that is summarizing the % of requests and pages for each file type and format.\n", - "\n", - "The summary columns stores quite a lot of data and we would need to analyze ~10TB of data. So let's look at the root pages only and apply sampling to the data scanned by the query using [TABLESAMPLE](https://cloud.google.com/bigquery/docs/reference/standard-sql/query-syntax#tablesample_operator) operator to optimize the cost of the query." - ] + "text/html": [ + "\n", + "
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      \n" + ], + "text/plain": [ + " requests pages\n", + "0 2393199079 24485975" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# This query will process 137 GB when run.\n", + "%%bigquery --project {GCP_PROJECT}\n", + "SELECT\n", + " COUNT(0) requests,\n", + " COUNT(DISTINCT page) pages\n", + "FROM `httparchive.crawl.requests`\n", + "WHERE date = \"2024-05-01\"\n", + " AND client = 'desktop'" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "6JMM1rJ8e-DG" + }, + "source": [ + "We already knew the number of pages from previous queries, but now lets add a dimension to the query to explore this table some more. The following query adds the 'type' column, which indicates the type of resource loaded (ie, script, image, css, etc)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 458, + "referenced_widgets": [ + "b81a59d22a4b463f91c643b83101ac91", + "e1d6b0f20e7c4927bc12f713f66af7ed", + "8d2872d4672441fdb56d56ac356f233f", + "626b16557d324192827040d52cd8af8c", + "722288e29a2c4fc7af2af5abff7a6c95", + "b5d2f46b570241d893fa06f8cb5653c2", + "fcf9542f8738486a9fa68de5c92eee6c", + "fef097b977de4914bfecbf5e01efca76", + "6c56bffd052a43f0894a278059d81d41", + "1ebe3a05981a4883a6486937c2f67641", + "818e130806b6471996e92dd9ee0fbd1f", + "23a689fbfe664bda967ec827df983a98", + "d438be0c560c4be3ae97f7ac2be66db1", + "5d313adea9d6494f9f19492d961fc7df", + "dd1c8444ecd7453683f7cd3b1d7b827f", + "fe6ff28f72ea4a2892d765cfa7fd7a78", + "9b28fd630f9a42569daa50b8e771dede", + "3cd12777d47c4c318bac3faf822eddfa", + "30cafd3986334741ab53a9c02c566954", + "ad6a31602360469aa0e9a750eb538152", + "21d4d9faa7304604938a620f22dadddd", + "e8255dbf9e40458ab3fb0104f1eff5c3" + ] + }, + "id": "koKF_VyLfBG7", + "outputId": "c2236403-a1a1-4f43-e29d-9ea84ec108fc" + }, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "b81a59d22a4b463f91c643b83101ac91", + "version_major": 2, + "version_minor": 0 }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 1000, - "referenced_widgets": [ - "1b348118d0664b5a83932bee399e3a2c", - "929e372de1fe4bddb11d1f3871ff5ec4", - "da4ebaee8669470787858afdec80ee36", - "4b2c63265cd34c47b318a22744328885", - "e30398b1656341478a4f231ee01373bc", - "31bc31ad61584273b76f25b80a9f4c50", - "930c60e33af94661866d0488a70e46a6", - "3542dedcc6b9417bad6bf343f5bd81a5", - "6721d1a376b54678adb9b801c2c48d05", - "7609ac7fa8e644e9bbebc5233899d1d8", - "87ba0b6cb6bb4d539fe6abcdf0219969", - "5cdf3c2c07d9467999680af82b25b53b", - "3c7e9a86cbd648c69a64c1c4763a9bd5", - "fdb88a71c2bf4903ab876bb35fd350e7", - "12baaf1c02fb46fb8ad874948894b321", - "65129042388a482cadc1e8f779ab802f", - "f9ffce03077b48bf97680b420c638fd3", - "abf6bc17abd64f5fb6b6a8d2d5e5efae", - "aa9e17f6129a476cbf89c50d3496c5a2", - "7335434ed8574c3ea009f0d6b6e4b04e", - "a41fdd0e62f44ebd98f6b22b01509946", - "e5d547f7043e473eb79849c6039bda46" - ] - }, - "id": "uRQPMFPdfPgz", - "outputId": "30f321cb-e6a5-4077-c403-0cf5f79e67ac" - }, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "Query is running: 0%| |" - ], - "application/vnd.jupyter.widget-view+json": { - "version_major": 2, - "version_minor": 0, - "model_id": "1b348118d0664b5a83932bee399e3a2c" - } - }, - "metadata": {} - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "Downloading: 0%| |" - ], - "application/vnd.jupyter.widget-view+json": { - "version_major": 2, - "version_minor": 0, - "model_id": "5cdf3c2c07d9467999680af82b25b53b" - } - }, - "metadata": {} - }, - { - "output_type": "execute_result", - "data": { - "text/plain": [ - " type format requests pages percent_requests percent_pages\n", - "0 script 21085473 8030900 0.32 0.69\n", - "1 image jpg 8696102 4322825 0.13 0.37\n", - "2 image png 6928635 4122297 0.11 0.35\n", - "3 css 6775517 4371876 0.10 0.38\n", - "4 other 4447765 1466010 0.07 0.13\n", - "5 html 4139296 2255120 0.06 0.19\n", - "6 image gif 4022545 1539581 0.06 0.13\n", - "7 font 3812048 2903219 0.06 0.25\n", - "8 text 1406090 1120520 0.02 0.10\n", - "9 image svg 1316180 942875 0.02 0.08\n", - "10 image webp 1091543 653911 0.02 0.06\n", - "11 image ico 285567 281780 0.00 0.02\n", - "12 video mp4 202543 125799 0.00 0.01\n", - "13 image None 201812 155606 0.00 0.01\n", - "14 image avif 137423 84078 0.00 0.01\n", - "15 html None 110612 91400 0.00 0.01\n", - "16 xml 103278 45869 0.00 0.00\n", - "17 script None 89199 78347 0.00 0.01\n", - "18 other None 59858 39318 0.00 0.00\n", - "19 video 52266 22948 0.00 0.00\n", - "20 audio 42861 21862 0.00 0.00\n", - "21 xml None 33215 23034 0.00 0.00\n", - "22 image 24148 18279 0.00 0.00\n", - "23 font None 21220 19105 0.00 0.00\n", - "24 css None 19725 17801 0.00 0.00\n", - "25 text None 15469 13509 0.00 0.00\n", - "26 image heic 2365 1932 0.00 0.00\n", - "27 video None 1505 871 0.00 0.00\n", - "28 video flv 38 26 0.00 0.00\n", - "29 video flash 37 37 0.00 0.00\n", - "30 video swf 11 11 0.00 0.00\n", - "31 image heif 7 6 0.00 0.00\n", - "32 audio None 4 3 0.00 0.00\n", - "33 image jxl 1 1 0.00 0.00" - ], - "text/html": [ - "\n", - "
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For example, how often is \"jpg\", \"gif\", \"webp\", etc used.\n", - "\n", - "Filtering by `type` column we are leveraging table's clustering to optimize the data scanned by the query even further." - ] + "text/plain": [ + "Downloading: 0%| |" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.google.colaboratory.intrinsic+json": { + "summary": "{\n \"name\": \"get_ipython()\",\n \"rows\": 11,\n \"fields\": [\n {\n \"column\": \"type\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 11,\n \"samples\": [\n \"font\",\n \"script\",\n \"audio\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"requests\",\n \"properties\": {\n \"dtype\": \"Int64\",\n \"num_unique_values\": 11,\n \"samples\": [\n 128104348,\n 813565233,\n 1177141\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"pages\",\n \"properties\": {\n \"dtype\": \"Int64\",\n \"num_unique_values\": 11,\n \"samples\": [\n 21224863,\n 23556030,\n 518769\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}", + "type": "dataframe" }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 81, - "referenced_widgets": [ - "bee716f2c8114b8f833aff68d931b75e", - "496577d31b794fbe989e563cd036d920", - "c87b10790aab44dbabf75eeea66d7f36", - "7303539d84344e308538b667522a7b27", - "c805453255404b90b8a5f4a001646417", - "772c6f229e5d43399633ab36394514ec", - "2e4fe2d3a68b46c9981db237599c2bd6", - "af385fd5dafa4ad88cdfddf162508aa8", - "de755bb356874567b231e6286049b2df", - "a9848418eec64a92b6fc2560dba1ce84", - "16e8cc44f2654748b5badb2bc04aeb6a", - "e0eed4c61bce48dab8903675af8da0f3", - "4db6fbc2b6e44e11a9f45cc286e306c4", - "7518f64a50184d54a1dc78864a624c43", - "38b137fae3b94bbb9b1fc23a61a32322", - "865c9c1a7b194430baff53db88cd53b2", - "13d1d76908804346befa6fec8e3eeb64", - "cd3ccfba6d104c2ba347291454d8ed69", - "910152c1f6b94e24a0861967a58c1cb5", - "52dd5191bf884830928af927c8888d2c", - "aec648dca2024bbeb423cd2e68ac6410", - "fe2a38848d9b4a20910c6f3859c914b7" - ] - }, - "id": "9dhWIwI8fTjH", - "outputId": "2cf5ad42-2b9f-4c00-92cd-e4132b0aa242" - }, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "Query is running: 0%| |" - ], - "application/vnd.jupyter.widget-view+json": { - "version_major": 2, - "version_minor": 0, - "model_id": "bee716f2c8114b8f833aff68d931b75e" - } - }, - "metadata": {} - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "Downloading: 0%| |" - ], - "application/vnd.jupyter.widget-view+json": { - "version_major": 2, - "version_minor": 0, - "model_id": "e0eed4c61bce48dab8903675af8da0f3" - } - }, - "metadata": {} - } - ], - "source": [ - "# This query will process 41 GB when run.\n", - "%%bigquery requests_image_df --project {GCP_PROJECT}\n", - "WITH requests AS (\n", - " SELECT\n", - " JSON_VALUE(summary, '$.format') AS format,\n", - " page,\n", - " COUNT(0) OVER() AS total_requests,\n", - " COUNT(DISTINCT page) OVER() AS total_pages\n", - " FROM `httparchive.all.requests` TABLESAMPLE SYSTEM (5 PERCENT)\n", - " WHERE date = '2024-05-01'\n", - " AND client = 'desktop'\n", - " AND is_root_page\n", - " AND type = 'image'\n", - ")\n", - "\n", - "SELECT\n", - " format,\n", - " COUNT(0) requests,\n", - " COUNT(DISTINCT page) pages,\n", - " ROUND(COUNT(0) / ANY_VALUE(total_requests), 2) percent_requests,\n", - " ROUND(COUNT(DISTINCT page) / ANY_VALUE(total_pages), 2) percent_pages\n", - "FROM requests\n", - "GROUP BY format\n", - "ORDER BY requests DESC" - ] + "text/html": [ + "\n", + "
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      \n" + ], + "text/plain": [ + " type requests pages\n", + "0 script 813565233 23556030\n", + "1 image 747018774 24146223\n", + "2 css 278463773 23259825\n", + "3 other 194533696 11901742\n", + "4 html 185868729 24145122\n", + "5 font 128104348 21224863\n", + "6 text 64065722 14736086\n", + "7 video 7191779 1407697\n", + "8 xml 2714133 747170\n", + "9 audio 1177141 518769\n", + "10 wasm 142421 51063" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# This query will process 155 GB when run.\n", + "%%bigquery --project {GCP_PROJECT}\n", + "SELECT\n", + " type,\n", + " COUNT(0) requests,\n", + " COUNT(DISTINCT page) pages\n", + "FROM `httparchive.crawl.requests`\n", + "WHERE date = '2024-05-01'\n", + " AND client = 'desktop'\n", + "GROUP BY type\n", + "ORDER BY requests DESC" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "PKXlevg9fDqA" + }, + "source": [ + "When we look at this data we can see counts of requests and pages for each content type. But what if we want the percentage of total? You could divide by the numbers that we know. But a more repeatable way of doing this would be to include a subquery. In the following query you'll notice that the number of requests per type is divided by the total number of requests. And likewise the same is done for pages. As we seen in Part 1, we can use the `ROUND()` function to trim the result to 2 decimal points for readability." + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 81, + "referenced_widgets": [ + "c636d88bd0f44e42b8d93df1bc9c3f1f", + "a1375461f2024c8ca3d34092ad7d1bff", + "4f6978590e9b43d88d8e44322d06b30f", + "a2cf84f40d7d4a66957449c78dbfa886", + "b98d2b861b8f41ed8bc5aebd16aefa30", + "98c4fa4f77e14436ab7bf540b7535745", + "247f3cba522248efa8b3c02f273115cc", + "72ea553d38324817931f62386369e0b3", + "40c6d92fcdf644e08524118d4be803ce", + "bd79588291e84b43874a8c876e9e2375", + "754b568b48f24dcc8371064444cd9c6d", + "16e8f5f8073a422c8ea758411256b4e0", + "86a08cddcce2496c98f704ff510e1662", + "2bfdadf2db3e450fbcb7c9fa0da75e89", + "789dc96f3a774151bf77c6cd7de82ef1", + "49cdc874343048e59c9fc63d74a11671", + "aed19a77ec0147c18bee3038ac714b88", + "61a56381161246d99df0c5fa61dc4bfc", + "6b374ee8e5164ab4bde4540c337c68ec", + "78391a9a45dc48fbbb7f556858fd0c6e", + "13798013579345c98f9edf79f0c55005", + "c47ed81c7ae944f7a8b1166a7b164bf7" + ] + }, + "id": "HyaE62NTfGe9", + "outputId": "29a7d0ae-69de-4792-8020-46b3e5306068" + }, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "c636d88bd0f44e42b8d93df1bc9c3f1f", + "version_major": 2, + "version_minor": 0 }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 394 - }, - "id": "lEynOaPZ78FM", - "outputId": "e23275bb-5d68-4a49-a16e-796f17f60091" - }, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - " format requests pages percent_requests percent_pages\n", - "0 jpg 8290474 4189907 0.38 0.53\n", - "1 png 6604473 3984064 0.31 0.50\n", - "2 gif 3836964 1487233 0.18 0.19\n", - "3 svg 1255002 906022 0.06 0.11\n", - "4 webp 1040312 630692 0.05 0.08\n", - "5 ico 272608 269039 0.01 0.03\n", - "6 None 191874 148218 0.01 0.02\n", - "7 avif 131101 81393 0.01 0.01\n", - "8 23113 17699 0.00 0.00\n", - "9 heic 2156 1783 0.00 0.00\n", - "10 heif 2 2 0.00 0.00" - ], - "text/html": [ - "\n", - "
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While we do have a very diverse set of 1.3 million page views - the technology used to parse these pages is Chrome browsers (both Desktop and Emulated mobile). Because of this, some formats may be under-represented - since Chrome supports webp but not jpeg-xr or jpeg2000. You may find cases like this with other type of technologies as well - for example custom web font types that vary based on browser support.\n", - "\n", - "Let's graph the results now to see what types of images are being served to Chrome browsers." - ] + "text/plain": [ + "Downloading: 0%| |" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# This query will process 153 GB when run.\n", + "%%bigquery requests_type_df --project {GCP_PROJECT}\n", + "WITH requests AS (\n", + " SELECT\n", + " type,\n", + " page,\n", + " COUNT(0) OVER() AS total_requests,\n", + " COUNT(DISTINCT page) OVER() AS total_pages\n", + " FROM `httparchive.crawl.requests`\n", + " WHERE date = '2024-05-01'\n", + " AND client = 'desktop'\n", + ")\n", + "\n", + "SELECT\n", + " type,\n", + " COUNT(0) requests,\n", + " COUNT(DISTINCT page) pages,\n", + " ROUND(COUNT(0) / ANY_VALUE(total_requests), 2) percent_requests,\n", + " ROUND(COUNT(DISTINCT page) / ANY_VALUE(total_pages), 2) percent_pages\n", + "FROM requests\n", + "GROUP BY type\n", + "ORDER BY requests DESC" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 394 + }, + "id": "30c8TCmWmQ9w", + "outputId": "f735c7ad-bb37-4481-ed1c-60e0ef05619c" + }, + "outputs": [ + { + "data": { + "application/vnd.google.colaboratory.intrinsic+json": { + "summary": "{\n \"name\": \"requests_type_df\",\n \"rows\": 11,\n \"fields\": [\n {\n \"column\": \"type\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 11,\n \"samples\": [\n \"font\",\n \"script\",\n \"audio\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"requests\",\n \"properties\": {\n \"dtype\": \"Int64\",\n \"num_unique_values\": 11,\n \"samples\": [\n 128926306,\n 817636850,\n 1184613\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"pages\",\n \"properties\": {\n \"dtype\": \"Int64\",\n \"num_unique_values\": 11,\n \"samples\": [\n 21491621,\n 23885146,\n 504820\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"percent_requests\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.12242994286158476,\n \"min\": 0.0,\n \"max\": 0.34,\n \"num_unique_values\": 8,\n \"samples\": [\n 0.31,\n 0.05,\n 0.34\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"percent_pages\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.4434882390569317,\n \"min\": 0.0,\n \"max\": 1.0,\n \"num_unique_values\": 10,\n \"samples\": [\n 0.02,\n 1.0,\n 0.6\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}", + "type": "dataframe", + "variable_name": "requests_type_df" }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 397 - }, - "id": "3MOvKaUJfaiR", - "outputId": "23c61003-e5ab-4df6-d7e0-0c4211017e99" - }, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/html": [ - "\n", - "
      \n", - "" - ], - "text/plain": [ - "alt.LayerChart(...)" - ] - }, - "metadata": {}, - "execution_count": 18 - } - ], - "source": [ - "pie_chart_image_formats = alt.Chart(requests_image_df).mark_arc().encode(\n", - " theta=alt.Theta(field=\"percent_requests\", type=\"quantitative\", stack=True),\n", - " color=alt.Color(field=\"format\", sort=None),\n", - " order=alt.Order(field=\"percent_requests\", type=\"quantitative\",sort='descending'),\n", - " tooltip=[\"format\", alt.Tooltip(\"percent_requests:Q\", format=\".0%\")]\n", - ").properties(\n", - " title=\"Distribution of image formats\"\n", - ")\n", - "pie_chart_image_formats + pie_chart_image_formats.mark_text(\n", - " radius=170\n", - ").encode(\n", - " text=alt.Text(\"percent_requests:Q\", format=\".0%\")\n", - ")" - ] + "text/html": [ + "\n", + "
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      \n", + "" + ], + "text/plain": [ + "alt.LayerChart(...)" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import altair as alt\n", + "\n", + "pie_chart_requests = alt.Chart(requests_type_df).mark_arc().encode(\n", + " theta=alt.Theta(field=\"percent_requests\", type=\"quantitative\", stack=True),\n", + " color=alt.Color(field=\"type\", type=\"nominal\", sort=None),\n", + " order=alt.Order(field=\"percent_requests\", type=\"quantitative\",sort='descending'),\n", + " tooltip=[\"type\", alt.Tooltip(\"percent_requests:Q\", format=\".0%\")]\n", + ").properties(\n", + " title=\"Requests by Type\"\n", + ")\n", + "pie_chart_requests + pie_chart_requests.mark_text(\n", + " radius=170\n", + ").encode(\n", + " text=alt.Text(\"percent_requests:Q\", format=\".0%\")\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 414 + }, + "id": "Kf8aU76Qm_ym", + "outputId": "5cfdbd66-8995-4b72-c6ae-9bcb268061bd" + }, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "
      \n", + "" + ], + "text/plain": [ + "alt.LayerChart(...)" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "bar_chart_pages = alt.Chart(requests_type_df).mark_bar().encode(\n", + " x=alt.X(\"type\", title=\"Type\", sort=None),\n", + " y=alt.Y(\"percent_pages\", title=\"Percent Pages\"),\n", + " color=alt.Color(field=\"type\", sort=None),\n", + " tooltip=[\"type\", \"percent_pages\"]\n", + ").properties(\n", + " title=\"Percent Pages by Type\"\n", + ")\n", + "bar_chart_pages + bar_chart_pages.mark_text(\n", + " dy=-10,\n", + ").encode(\n", + " text=alt.Text(\"percent_pages:Q\", format=\".0%\")\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "XvgAaUVsmFMh" + }, + "source": [ + "Let's say we want to extend this query some more and look at the formats of each type. Now we have a query that is summarizing the % of requests and pages for each file type and format.\n", + "\n", + "The summary columns stores quite a lot of data and we would need to analyze ~10TB of data. So let's look at the root pages only and apply sampling to the data scanned by the query using [`TABLESAMPLE`](https://cloud.google.com/bigquery/docs/reference/standard-sql/query-syntax#tablesample_operator) operator to optimize the cost of the query." + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000, + "referenced_widgets": [ + "1b348118d0664b5a83932bee399e3a2c", + "929e372de1fe4bddb11d1f3871ff5ec4", + "da4ebaee8669470787858afdec80ee36", + "4b2c63265cd34c47b318a22744328885", + "e30398b1656341478a4f231ee01373bc", + "31bc31ad61584273b76f25b80a9f4c50", + "930c60e33af94661866d0488a70e46a6", + "3542dedcc6b9417bad6bf343f5bd81a5", + "6721d1a376b54678adb9b801c2c48d05", + "7609ac7fa8e644e9bbebc5233899d1d8", + "87ba0b6cb6bb4d539fe6abcdf0219969", + "5cdf3c2c07d9467999680af82b25b53b", + "3c7e9a86cbd648c69a64c1c4763a9bd5", + "fdb88a71c2bf4903ab876bb35fd350e7", + "12baaf1c02fb46fb8ad874948894b321", + "65129042388a482cadc1e8f779ab802f", + "f9ffce03077b48bf97680b420c638fd3", + "abf6bc17abd64f5fb6b6a8d2d5e5efae", + "aa9e17f6129a476cbf89c50d3496c5a2", + "7335434ed8574c3ea009f0d6b6e4b04e", + "a41fdd0e62f44ebd98f6b22b01509946", + "e5d547f7043e473eb79849c6039bda46" + ] + }, + "id": "uRQPMFPdfPgz", + "outputId": "30f321cb-e6a5-4077-c403-0cf5f79e67ac" + }, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "1b348118d0664b5a83932bee399e3a2c", + "version_major": 2, + "version_minor": 0 }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 400 - }, - "id": "T9fwfkGY8R8h", - "outputId": "7fb5aeab-edc4-4874-8127-31ae625b3c19" - }, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/html": [ - "\n", - "
      \n", - "" - ], - "text/plain": [ - "alt.LayerChart(...)" - ] - }, - "metadata": {}, - "execution_count": 19 - } - ], - "source": [ - "bar_chart_image_pages = alt.Chart(requests_image_df).mark_bar().encode(\n", - " x=alt.X(\"format\", title=\"Type\", sort=None),\n", - " y=alt.Y(\"percent_pages\", title=\"Percent Pages\", sort=None),\n", - " color=alt.Color(field=\"format\", sort=None),\n", - " tooltip=[\"format\", alt.Tooltip(\"percent_pages:Q\", format=\".0%\")]\n", - ").properties(\n", - " title=\"Percent Pages by Type\"\n", - ")\n", - "bar_chart_image_pages + bar_chart_image_pages.mark_text(\n", - " dy=-10,\n", - ").encode(\n", - " text=alt.Text(\"percent_pages:Q\", format=\".0%\")\n", - ")" - ] + "text/plain": [ + "Query is running: 0%| |" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "5cdf3c2c07d9467999680af82b25b53b", + "version_major": 2, + "version_minor": 0 }, - { - "cell_type": "markdown", - "metadata": { - "id": "Xn_CsHD9fZ1f" - }, - "source": [ - "\n", - "Let's explore a simple histogram of the requests dataset by looking at the distribution of response sizes. Histograms are useful for representing the distribution of data, by organizing a range of values into \"bins\" (or buckets), and then counting the number of values that fall into each of the bins. If you are not familiar with this type of visualization, then you can [read more about histograms here](https://en.wikipedia.org/wiki/Histogram).\n", - "\n", - "In the example below, we'll be using a histogram to visualize the size of individual requests served from websites across the entire dataset. To do this, we'll be using the `respBodySize` metric from `summary` column. This metric represents the size of the response payload in bytes. Since 1 byte is very granular, we'll divide by 1024 to get to 1 KB and then by 100 so that we are looking at this data with bin sizes of 100KB. We'll also wrap this in a `CEIL()` function to remove the decimal points and then multiply the result by 100. Using this technique, 1234567 bytes would be rounded to a bin of 1300 KB." - ] + "text/plain": [ + "Downloading: 0%| |" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.google.colaboratory.intrinsic+json": { + "summary": "{\n \"name\": \"get_ipython()\",\n \"rows\": 34,\n \"fields\": [\n {\n \"column\": \"type\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 10,\n \"samples\": [\n \"xml\",\n \"image\",\n \"font\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"format\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 15,\n \"samples\": [\n \"heic\",\n \"flash\",\n \"\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"requests\",\n \"properties\": {\n \"dtype\": \"Int64\",\n \"num_unique_values\": 34,\n \"samples\": [\n 110612,\n 52266,\n 1505\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"pages\",\n \"properties\": {\n \"dtype\": \"Int64\",\n \"num_unique_values\": 34,\n \"samples\": [\n 91400,\n 22948,\n 871\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"percent_requests\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.06291564111262947,\n \"min\": 0.0,\n \"max\": 0.32,\n \"num_unique_values\": 8,\n \"samples\": [\n 0.13,\n 0.06,\n 0.32\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"percent_pages\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.1559537387414966,\n \"min\": 0.0,\n \"max\": 0.69,\n \"num_unique_values\": 13,\n \"samples\": [\n 0.01,\n 0.06,\n 0.69\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}", + "type": "dataframe" }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 81, - "referenced_widgets": [ - "210379ad5a974e8d8a4e2014b114790d", - "959d9078ce0b4097a042c173eed6aa5b", - "7179474d80d4413890dee4735fa728e7", - "f65b2163c5e54f499bec454f87c2f94f", - "e50354259daf4b74a4c76ab2b2decf1f", - "1760bddf24794fa1be13554319d0134e", - "1f1446d0f9e54c9eac09d4ce4b919d81", - "79c58f4f0ce94ef5b74d226b716baf4f", - "1b04c4b57d324d0eae7ccab53640b290", - "6e5857b3841c4a5e9393a7e144954248", - "26f684f316d241d39f1eb367a82b58fd", - "4b6b64dc32cd4ed6975924da7270bccf", - "06e5e1b6c9314c9b915df4b636cc0db5", - "0cd3c4b54ab54c94a7dc1b412b5f1abe", - "f47649d65ab3492481aa60be84ed4171", - "b7b88a0c6f8f4a2c802d43e6a5b95cad", - "1fb07661602440a09d83f2f7d55531d9", - "d3414550c528488db639f0ef34780206", - "98fce80508d647fbaafc93993834bf0e", - "ad94b7fef0da470aa297f2c1a4ab16a1", - "74163023d2344462aafc051492372730", - "6eb928d33b2e4717b60f0392cf83fd35" - ] - }, - "id": "if5TNXaJfgoo", - "outputId": "b3858dc2-8a09-416c-a950-fcc2a12a9f95" - }, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "Query is running: 0%| |" - ], - "application/vnd.jupyter.widget-view+json": { - "version_major": 2, - "version_minor": 0, - "model_id": "210379ad5a974e8d8a4e2014b114790d" - } - }, - "metadata": {} - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "Downloading: 0%| |" - ], - "application/vnd.jupyter.widget-view+json": { - "version_major": 2, - "version_minor": 0, - "model_id": "4b6b64dc32cd4ed6975924da7270bccf" - } - }, - "metadata": {} - } - ], - "source": [ - "# This query will process 125 GB when run.\n", - "%%bigquery response_size_df --project {GCP_PROJECT}\n", - "WITH requests AS (\n", - " SELECT\n", - " CEIL(CAST(JSON_VALUE(summary, '$.respBodySize') AS INT64)/1024/100)*100 AS responseSize100KB,\n", - " COUNT(0) OVER () AS total_requests\n", - " FROM `httparchive.all.requests` TABLESAMPLE SYSTEM (5 PERCENT)\n", - " WHERE date = '2024-05-01'\n", - " AND client = 'desktop'\n", - " AND is_root_page\n", - " AND CAST(JSON_VALUE(summary, '$.respBodySize') AS INT64) > 0\n", - ")\n", - "\n", - "SELECT\n", - " responseSize100KB,\n", - " COUNT(0) AS requests,\n", - " COUNT(0)/ANY_VALUE(total_requests) AS pct_requests\n", - "FROM requests\n", - "GROUP BY responseSize100KB\n", - "ORDER BY responseSize100KB ASC" - ] + "text/html": [ + "\n", + "
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      typeformatrequestspagespercent_requestspercent_pages
      0script2108547380309000.320.69
      1imagejpg869610243228250.130.37
      2imagepng692863541222970.110.35
      3css677551743718760.100.38
      4other444776514660100.070.13
      5html413929622551200.060.19
      6imagegif402254515395810.060.13
      7font381204829032190.060.25
      8text140609011205200.020.10
      9imagesvg13161809428750.020.08
      10imagewebp10915436539110.020.06
      11imageico2855672817800.000.02
      12videomp42025431257990.000.01
      13imageNone2018121556060.000.01
      14imageavif137423840780.000.01
      15htmlNone110612914000.000.01
      16xml103278458690.000.00
      17scriptNone89199783470.000.01
      18otherNone59858393180.000.00
      19video52266229480.000.00
      20audio42861218620.000.00
      21xmlNone33215230340.000.00
      22image24148182790.000.00
      23fontNone21220191050.000.00
      24cssNone19725178010.000.00
      25textNone15469135090.000.00
      26imageheic236519320.000.00
      27videoNone15058710.000.00
      28videoflv38260.000.00
      29videoflash37370.000.00
      30videoswf11110.000.00
      31imageheif760.000.00
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      \n", + "
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      \n" + ], + "text/plain": [ + " type format requests pages percent_requests percent_pages\n", + "0 script 21085473 8030900 0.32 0.69\n", + "1 image jpg 8696102 4322825 0.13 0.37\n", + "2 image png 6928635 4122297 0.11 0.35\n", + "3 css 6775517 4371876 0.10 0.38\n", + "4 other 4447765 1466010 0.07 0.13\n", + "5 html 4139296 2255120 0.06 0.19\n", + "6 image gif 4022545 1539581 0.06 0.13\n", + "7 font 3812048 2903219 0.06 0.25\n", + "8 text 1406090 1120520 0.02 0.10\n", + "9 image svg 1316180 942875 0.02 0.08\n", + "10 image webp 1091543 653911 0.02 0.06\n", + "11 image ico 285567 281780 0.00 0.02\n", + "12 video mp4 202543 125799 0.00 0.01\n", + "13 image None 201812 155606 0.00 0.01\n", + "14 image avif 137423 84078 0.00 0.01\n", + "15 html None 110612 91400 0.00 0.01\n", + "16 xml 103278 45869 0.00 0.00\n", + "17 script None 89199 78347 0.00 0.01\n", + "18 other None 59858 39318 0.00 0.00\n", + "19 video 52266 22948 0.00 0.00\n", + "20 audio 42861 21862 0.00 0.00\n", + "21 xml None 33215 23034 0.00 0.00\n", + "22 image 24148 18279 0.00 0.00\n", + "23 font None 21220 19105 0.00 0.00\n", + "24 css None 19725 17801 0.00 0.00\n", + "25 text None 15469 13509 0.00 0.00\n", + "26 image heic 2365 1932 0.00 0.00\n", + "27 video None 1505 871 0.00 0.00\n", + "28 video flv 38 26 0.00 0.00\n", + "29 video flash 37 37 0.00 0.00\n", + "30 video swf 11 11 0.00 0.00\n", + "31 image heif 7 6 0.00 0.00\n", + "32 audio None 4 3 0.00 0.00\n", + "33 image jxl 1 1 0.00 0.00" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# This query will process 129 GB when run.\n", + "%%bigquery --project {GCP_PROJECT}\n", + "WITH requests AS (\n", + " SELECT\n", + " type,\n", + " STRING(summary.format) AS format,\n", + " page,\n", + " COUNT(0) OVER() AS total_requests,\n", + " COUNT(DISTINCT page) OVER() AS total_pages\n", + " FROM `httparchive.crawl.requests` TABLESAMPLE SYSTEM (5 PERCENT)\n", + " WHERE date = '2024-05-01'\n", + " AND client = 'desktop'\n", + " AND is_root_page\n", + ")\n", + "\n", + "SELECT\n", + " type,\n", + " format,\n", + " COUNT(0) requests,\n", + " COUNT(DISTINCT page) pages,\n", + " ROUND(COUNT(0) / ANY_VALUE(total_requests), 2) percent_requests,\n", + " ROUND(COUNT(DISTINCT page) / ANY_VALUE(total_pages), 2) percent_pages\n", + "FROM requests\n", + "GROUP BY\n", + " type,\n", + " format\n", + "ORDER BY requests DESC" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "OYGSiLhhfQxy" + }, + "source": [ + "Using a WHERE clause we can filter out all of the non-Image content and examine the popularity of various image formats. For example, how often is \"jpg\", \"gif\", \"webp\", etc used.\n", + "\n", + "Filtering by `type` column we are leveraging table's clustering to optimize the data scanned by the query even further." + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 81, + "referenced_widgets": [ + "bee716f2c8114b8f833aff68d931b75e", + "496577d31b794fbe989e563cd036d920", + "c87b10790aab44dbabf75eeea66d7f36", + "7303539d84344e308538b667522a7b27", + "c805453255404b90b8a5f4a001646417", + "772c6f229e5d43399633ab36394514ec", + "2e4fe2d3a68b46c9981db237599c2bd6", + "af385fd5dafa4ad88cdfddf162508aa8", + "de755bb356874567b231e6286049b2df", + "a9848418eec64a92b6fc2560dba1ce84", + "16e8cc44f2654748b5badb2bc04aeb6a", + "e0eed4c61bce48dab8903675af8da0f3", + "4db6fbc2b6e44e11a9f45cc286e306c4", + "7518f64a50184d54a1dc78864a624c43", + "38b137fae3b94bbb9b1fc23a61a32322", + "865c9c1a7b194430baff53db88cd53b2", + "13d1d76908804346befa6fec8e3eeb64", + "cd3ccfba6d104c2ba347291454d8ed69", + "910152c1f6b94e24a0861967a58c1cb5", + "52dd5191bf884830928af927c8888d2c", + "aec648dca2024bbeb423cd2e68ac6410", + "fe2a38848d9b4a20910c6f3859c914b7" + ] + }, + "id": "9dhWIwI8fTjH", + "outputId": "2cf5ad42-2b9f-4c00-92cd-e4132b0aa242" + }, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "bee716f2c8114b8f833aff68d931b75e", + "version_major": 2, + "version_minor": 0 }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 424 - }, - "id": "Bjm4Xba3GWkD", - "outputId": "bf8b1e87-978f-4d71-8188-13972ba0504d" - }, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - " responseSize100KB requests pct_requests\n", - "0 100.0 50125121 9.134219e-01\n", - "1 200.0 2343976 4.271389e-02\n", - "2 300.0 818513 1.491563e-02\n", - "3 400.0 405782 7.394499e-03\n", - "4 500.0 252538 4.601959e-03\n", - ".. ... ... ...\n", - "555 67000.0 1 1.822284e-08\n", - "556 67300.0 1 1.822284e-08\n", - "557 67700.0 1 1.822284e-08\n", - "558 67800.0 1 1.822284e-08\n", - "559 68400.0 1 1.822284e-08\n", - "\n", - "[560 rows x 3 columns]" - ], - "text/html": [ - "\n", - "
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      \n", - "" - ], - "text/plain": [ - "alt.Chart(...)" - ] - }, - "metadata": {}, - "execution_count": 25 - } - ], - "source": [ - "# Plotting 10 first rows\n", - "alt.Chart(response_size_df.head(10)).mark_point().encode(\n", - " x=alt.X(\"responseSize100KB\", title=\"Response Size, 100KB bins\"),\n", - " y=alt.Y(\"pct_requests\", title=\"Percent Requests\"),\n", - " tooltip=['responseSize100KB', alt.Tooltip(\"pct_requests:Q\", format=\".0%\")]\n", - ").properties(\n", - " width=1200,\n", - " height=200\n", - ")" - ] + "text/html": [ + "\n", + "
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      formatrequestspagespercent_requestspercent_pages
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      \n", + "" + ], + "text/plain": [ + "alt.LayerChart(...)" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pie_chart_image_formats = alt.Chart(requests_image_df).mark_arc().encode(\n", + " theta=alt.Theta(field=\"percent_requests\", type=\"quantitative\", stack=True),\n", + " color=alt.Color(field=\"format\", sort=None),\n", + " order=alt.Order(field=\"percent_requests\", type=\"quantitative\",sort='descending'),\n", + " tooltip=[\"format\", alt.Tooltip(\"percent_requests:Q\", format=\".0%\")]\n", + ").properties(\n", + " title=\"Distribution of image formats\"\n", + ")\n", + "pie_chart_image_formats + pie_chart_image_formats.mark_text(\n", + " radius=170\n", + ").encode(\n", + " text=alt.Text(\"percent_requests:Q\", format=\".0%\")\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 400 + }, + "id": "T9fwfkGY8R8h", + "outputId": "7fb5aeab-edc4-4874-8127-31ae625b3c19" + }, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "
      \n", + "" + ], + "text/plain": [ + "alt.LayerChart(...)" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "bar_chart_image_pages = alt.Chart(requests_image_df).mark_bar().encode(\n", + " x=alt.X(\"format\", title=\"Type\", sort=None),\n", + " y=alt.Y(\"percent_pages\", title=\"Percent Pages\", sort=None),\n", + " color=alt.Color(field=\"format\", sort=None),\n", + " tooltip=[\"format\", alt.Tooltip(\"percent_pages:Q\", format=\".0%\")]\n", + ").properties(\n", + " title=\"Percent Pages by Type\"\n", + ")\n", + "bar_chart_image_pages + bar_chart_image_pages.mark_text(\n", + " dy=-10,\n", + ").encode(\n", + " text=alt.Text(\"percent_pages:Q\", format=\".0%\")\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "Xn_CsHD9fZ1f" + }, + "source": [ + "\n", + "Let's explore a simple histogram of the requests dataset by looking at the distribution of response sizes. Histograms are useful for representing the distribution of data, by organizing a range of values into \"bins\" (or buckets), and then counting the number of values that fall into each of the bins. If you are not familiar with this type of visualization, then you can [read more about histograms here](https://en.wikipedia.org/wiki/Histogram).\n", + "\n", + "In the example below, we'll be using a histogram to visualize the size of individual requests served from websites across the entire dataset. To do this, we'll be using the `respBodySize` metric from `summary` column. This metric represents the size of the response payload in bytes. Since 1 byte is very granular, we'll divide by 1024 to get to 1 KB and then by 100 so that we are looking at this data with bin sizes of 100KB. We'll also wrap this in a `CEIL()` function to remove the decimal points and then multiply the result by 100. Using this technique, 1234567 bytes would be rounded to a bin of 1300 KB." + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 81, + "referenced_widgets": [ + "210379ad5a974e8d8a4e2014b114790d", + "959d9078ce0b4097a042c173eed6aa5b", + "7179474d80d4413890dee4735fa728e7", + "f65b2163c5e54f499bec454f87c2f94f", + "e50354259daf4b74a4c76ab2b2decf1f", + "1760bddf24794fa1be13554319d0134e", + "1f1446d0f9e54c9eac09d4ce4b919d81", + "79c58f4f0ce94ef5b74d226b716baf4f", + "1b04c4b57d324d0eae7ccab53640b290", + "6e5857b3841c4a5e9393a7e144954248", + "26f684f316d241d39f1eb367a82b58fd", + "4b6b64dc32cd4ed6975924da7270bccf", + "06e5e1b6c9314c9b915df4b636cc0db5", + "0cd3c4b54ab54c94a7dc1b412b5f1abe", + "f47649d65ab3492481aa60be84ed4171", + "b7b88a0c6f8f4a2c802d43e6a5b95cad", + "1fb07661602440a09d83f2f7d55531d9", + "d3414550c528488db639f0ef34780206", + "98fce80508d647fbaafc93993834bf0e", + "ad94b7fef0da470aa297f2c1a4ab16a1", + "74163023d2344462aafc051492372730", + "6eb928d33b2e4717b60f0392cf83fd35" + ] + }, + "id": "if5TNXaJfgoo", + "outputId": "b3858dc2-8a09-416c-a950-fcc2a12a9f95" + }, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "210379ad5a974e8d8a4e2014b114790d", + "version_major": 2, + "version_minor": 0 }, - { - "cell_type": "markdown", - "metadata": { - "id": "A-vA8ALMgEQI" - }, - "source": [ - "You can find many examples of working with the `requests` table in the [HTTP Archive discussion forums](https://discuss.httparchive.org/).\n", - "\n", - "You can also make a copy of the workbook and experiment with some of your own visualization ideas for the data as well.\n", - "\n", - "In [Part 3](https://colab.research.google.com/github/rviscomi/har.fyi/blob/main/workbooks/exploring_pages_and_requests_tables_joined.ipynb) we'll look at how you can use SQL JOINs to analyze both the `pages` and `requests` datasets.\n" - ] - } - ], - "metadata": { - "colab": { - "provenance": [] + "text/plain": [ + "Query is running: 0%| |" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "4b6b64dc32cd4ed6975924da7270bccf", + "version_major": 2, + "version_minor": 0 }, - "kernelspec": { - "display_name": "Python 3", - "name": "python3" + "text/plain": [ + "Downloading: 0%| |" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# This query will process 125 GB when run.\n", + "%%bigquery response_size_df --project {GCP_PROJECT}\n", + "WITH requests AS (\n", + " SELECT\n", + " CEIL(INT64(summary.respBodySize)/1024/100)*100 AS responseSize100KB,\n", + " COUNT(0) OVER () AS total_requests\n", + " FROM `httparchive.crawl.requests` TABLESAMPLE SYSTEM (5 PERCENT)\n", + " WHERE date = '2024-05-01'\n", + " AND client = 'desktop'\n", + " AND is_root_page\n", + " AND INT64(summary.respBodySize) > 0\n", + ")\n", + "\n", + "SELECT\n", + " responseSize100KB,\n", + " COUNT(0) AS requests,\n", + " COUNT(0)/ANY_VALUE(total_requests) AS pct_requests\n", + "FROM requests\n", + "GROUP BY responseSize100KB\n", + "ORDER BY responseSize100KB ASC" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 424 + }, + "id": "Bjm4Xba3GWkD", + "outputId": "bf8b1e87-978f-4d71-8188-13972ba0504d" + }, + "outputs": [ + { + "data": { + "application/vnd.google.colaboratory.intrinsic+json": { + "summary": "{\n \"name\": \"response_size_df\",\n \"rows\": 560,\n \"fields\": [\n {\n \"column\": \"responseSize100KB\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 18282.268643710424,\n \"min\": 100.0,\n \"max\": 68400.0,\n \"num_unique_values\": 560,\n \"samples\": [\n 47300.0,\n 34200.0,\n 17800.0\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"requests\",\n \"properties\": {\n \"dtype\": \"Int64\",\n \"num_unique_values\": 192,\n \"samples\": [\n 1250,\n 65,\n 324\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"pct_requests\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.03864204306413433,\n \"min\": 1.8222837125539148e-08,\n \"max\": 0.913421915880942,\n \"num_unique_values\": 192,\n \"samples\": [\n 2.2778546406923933e-05,\n 1.1844844131600447e-06,\n 5.904199228674684e-06\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}", + "type": "dataframe", + "variable_name": "response_size_df" }, - 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      \n" + ], + "text/plain": [ + " responseSize100KB requests pct_requests\n", + "0 100.0 50125121 9.134219e-01\n", + "1 200.0 2343976 4.271389e-02\n", + "2 300.0 818513 1.491563e-02\n", + "3 400.0 405782 7.394499e-03\n", + "4 500.0 252538 4.601959e-03\n", + ".. ... ... ...\n", + "555 67000.0 1 1.822284e-08\n", + "556 67300.0 1 1.822284e-08\n", + "557 67700.0 1 1.822284e-08\n", + "558 67800.0 1 1.822284e-08\n", + "559 68400.0 1 1.822284e-08\n", + "\n", + "[560 rows x 3 columns]" + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "response_size_df" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "R1_EmIoKfw8n" + }, + "source": [ + "When we analyze this data we can see that that 91% of requests have a response size less than 100KB. Try repeating this with 10KB bin sizes and you'll be able to see the spread of response sizes with more granularity." + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 268 + }, + "id": "4bFTTRx9H3gE", + "outputId": "9a9d1abc-badd-49a9-a414-765124b52889" + }, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "
      \n", + "" + ], + "text/plain": [ + "alt.Chart(...)" + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Plotting 10 first rows\n", + "alt.Chart(response_size_df.head(10)).mark_point().encode(\n", + " x=alt.X(\"responseSize100KB\", title=\"Response Size, 100KB bins\"),\n", + " y=alt.Y(\"pct_requests\", title=\"Percent Requests\"),\n", + " tooltip=['responseSize100KB', alt.Tooltip(\"pct_requests:Q\", format=\".0%\")]\n", + ").properties(\n", + " width=1200,\n", + " height=200\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "A-vA8ALMgEQI" + }, + "source": [ + "You can find many examples of working with the `requests` table in the [HTTP Archive discussion forums](https://discuss.httparchive.org/).\n", + "\n", + "You can also make a copy of the workbook and experiment with some of your own visualization ideas for the data as well.\n", + "\n", + "In [Part 3](https://colab.research.google.com/github/HTTPArchive/har.fyi/blob/main/workbooks/exploring_pages_and_requests_tables_joined.ipynb) we'll look at how you can use SQL JOINs to analyze both the `pages` and `requests` datasets.\n" + ] + } + ], + "metadata": { + "colab": { + "provenance": [] + }, + "kernelspec": { + "display_name": "Python 3", + "name": "python3" + }, + "widgets": { + "application/vnd.jupyter.widget-state+json": { + "018fb4f7b06b41bdb766b9c2ef1f35be": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "DescriptionStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "05acbc43be494212b2dc7e1f560f1da1": { + "model_module": "@jupyter-widgets/base", + 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[], - "source": [ - "import altair as alt\n", - "from google.colab import auth\n", - "auth.authenticate_user()" - ] + "cells": [ + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "id": "SeTJb51SKs_W" + }, + "outputs": [], + "source": [ + "import altair as alt\n", + "from google.colab import auth\n", + "auth.authenticate_user()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "GCP_PROJECT = 'httparchive' # @param {type: \"string\"}" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "_FrKSq05hrU3" + }, + "source": [ + "In [Part 1](https://colab.research.google.com/github/HTTPArchive/har.fyi/blob/main/workbooks/exploring_httparchive-all-pages_tables.ipynb) we examined the `pages` tables. Then in [Part 2](https://colab.research.google.com/github/HTTPArchive/har.fyi/blob/main/workbooks/exploring_httparchive-all-requests_tables.ipynb) we worked with the `requests` tables. Now let's look at how we can combine both the `requests` and `pages` tables to perform a deeper analysis. In the following example, we're going to investigate the following question:\n", + " \"Is image weight more commonly a factor of 1 large image, or many smaller images?\".\n", + "\n", + "Let's start with a simple query against the `pages` table. This is a simple query that just selects the URL, the number of images and the bytes of those images." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 488, + "referenced_widgets": [ + "891670ce45ea4607a03236b047f55277", + "f318ea3101ef49c48bdbb177c02ad9df", + "c3427f4f936b45dc9931d36eba7f1ba5", + "5813705e5a8e44a68e2bb350ca26fa4e", + "9c8535f6b1334638b80728d624b23505", + "32a03b8ceddd43c8952beaa7e606b10f", + "04fae5fc31104f5b8a2c001ae3c6f28e", + "4f5b2b6d3f3741c693bb8e4a911943f1", + "c5026dd9365942e0893a3cabfba9e092", + "252a2d2d6142431eadd27212b5539f2a", + "276164f885054385b0febd21cf36165b", + "593387121f85403db1b569f7c6733c68", + "ea5bfea78c2648b1981a26becfe9fd7b", + "9510298597804f1f82f25daad54db6a4", + "fac32e0bed8b4916b604b035032b2c4e", + "97e997d5c4184f41aa971d096720e786", + "cc641e9185fe404584a842255aed4069", + "2c286ddb4ecb47acb036446cefd05abf", + "98534255546447df82fba990ce824959", + "28e00d3b5e1c4723934363d03857e1a2", + "578f68723f434000ac9ee799baa2bd65", + "9d0df9a7aed5499783010de2323e44b8" + ] }, + "id": "GjXvcNNCgUYE", + "outputId": "a9f243fb-9708-4663-ceee-28fa5269db0b" + }, + "outputs": [ { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "GCP_PROJECT = 'httparchive' # @param {type: \"string\"}" + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "891670ce45ea4607a03236b047f55277", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Query is running: 0%| |" ] + }, + "metadata": {}, + "output_type": "display_data" }, { - "cell_type": "markdown", - "metadata": { - "id": "_FrKSq05hrU3" + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "593387121f85403db1b569f7c6733c68", + "version_major": 2, + "version_minor": 0 }, - "source": [ - "In [Part 1](https://colab.research.google.com/github/rviscomi/har.fyi/blob/main/workbooks/exploring_httparchive-all-pages_tables.ipynb) we examined the `pages` tables. Then in [Part 2](https://colab.research.google.com/github/rviscomi/har.fyi/blob/main/workbooks/exploring_httparchive-all-requests_tables.ipynb) we worked with the `requests` tables. Now let's look at how we can combine both the `requests` and `pages` tables to perform a deeper analysis. In the following example, we're going to investigate the following question:\n", - " \"Is image weight more commonly a factor of 1 large image, or many smaller images?\".\n", - "\n", - "Let's start with a simple query against the `pages` table. This is a simple query that just selects the URL, the number of images and the bytes of those images." + "text/plain": [ + "Downloading: 0%| |" ] + }, + "metadata": {}, + "output_type": "display_data" }, { - "cell_type": "code", - "execution_count": 4, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 488, - "referenced_widgets": [ - "891670ce45ea4607a03236b047f55277", - "f318ea3101ef49c48bdbb177c02ad9df", - "c3427f4f936b45dc9931d36eba7f1ba5", - "5813705e5a8e44a68e2bb350ca26fa4e", - "9c8535f6b1334638b80728d624b23505", - "32a03b8ceddd43c8952beaa7e606b10f", - "04fae5fc31104f5b8a2c001ae3c6f28e", - "4f5b2b6d3f3741c693bb8e4a911943f1", - "c5026dd9365942e0893a3cabfba9e092", - "252a2d2d6142431eadd27212b5539f2a", - "276164f885054385b0febd21cf36165b", - "593387121f85403db1b569f7c6733c68", - "ea5bfea78c2648b1981a26becfe9fd7b", - "9510298597804f1f82f25daad54db6a4", - "fac32e0bed8b4916b604b035032b2c4e", - "97e997d5c4184f41aa971d096720e786", - "cc641e9185fe404584a842255aed4069", - "2c286ddb4ecb47acb036446cefd05abf", - "98534255546447df82fba990ce824959", - "28e00d3b5e1c4723934363d03857e1a2", - "578f68723f434000ac9ee799baa2bd65", - "9d0df9a7aed5499783010de2323e44b8" - ] - }, - "id": "GjXvcNNCgUYE", - "outputId": "a9f243fb-9708-4663-ceee-28fa5269db0b" + "data": { + "application/vnd.google.colaboratory.intrinsic+json": { + "type": "dataframe" }, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "891670ce45ea4607a03236b047f55277", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Query is running: 0%| |" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "593387121f85403db1b569f7c6733c68", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Downloading: 0%| |" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.google.colaboratory.intrinsic+json": { - "type": "dataframe" - }, - "text/html": [ - "\n", - "
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      2https://www.traumama.com/65116583274
      3https://gridarchitects.co.uk/349110498520
      4https://studfist.fans/230107665948
      ............
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      1https://www.salsayotra.fr/223120086614
      2https://www.traumama.com/65116583274
      3https://gridarchitects.co.uk/349110498520
      4https://studfist.fans/230107665948
      ............
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      \n" ], - "source": [ - "# This query will process 25 GB when run.\n", - "%%bigquery --project {GCP_PROJECT}\n", - "SELECT\n", - " page,\n", - " CAST(JSON_VALUE(summary, '$.reqImg') AS INT64) AS image_requests,\n", - " CAST(JSON_VALUE(summary, '$.bytesImg') AS INT64) AS image_bytes\n", - "FROM `httparchive.all.pages`\n", - "WHERE date = '2024-05-01'\n", - " AND client='desktop'\n", - " AND is_root_page\n", - "ORDER BY\n", - " image_bytes DESC" + "text/plain": [ + " page image_requests image_bytes\n", + "0 https://www.laurel.edu/ 170 143775693\n", + "1 https://www.salsayotra.fr/ 223 120086614\n", + "2 https://www.traumama.com/ 65 116583274\n", + "3 https://gridarchitects.co.uk/ 349 110498520\n", + "4 https://studfist.fans/ 230 107665948\n", + "... ... ... ...\n", + "12900235 http://www.unam.me/ \n", + "12900236 http://simpro.jayabeton.com/ \n", + "12900237 http://moncrane.mn/ \n", + "12900238 http://iptu.sorocaba.sp.gov.br/ \n", + "12900239 http://www.inas.gov.mz/ \n", + "\n", + "[12900240 rows x 3 columns]" ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# This query will process 25 GB when run.\n", + "%%bigquery --project {GCP_PROJECT}\n", + "SELECT\n", + " page,\n", + " INT64(summary.reqImg) AS image_requests,\n", + " INT64(summary.bytesImg) AS image_bytes\n", + "FROM `httparchive.crawl.pages`\n", + "WHERE date = '2024-05-01'\n", + " AND client='desktop'\n", + " AND is_root_page\n", + "ORDER BY\n", + " image_bytes DESC" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "3wTANDmXgWK6" + }, + "source": [ + "In the previous example we didn't use the requests table at all. However if we wanted to, we could do the same analysis by JOINing the request table. In order to do this, I've made the following modifications to the query above:\n", + "\n", + "* Named the tables (i.e., so we can reference \"httparchive.all.pages\" as \"pages\")\n", + "* Reference the tables for some of the columns that exist in both tables (such as page)\n", + "* Since we're focusing on images, we'll include `requests.type=\"image\"` in our WHERE clause.\n", + "* JOIN the tables `ON requests.page = pages.page`\n", + "\n", + "The below query is similar to the previous one, but uses both tables. The unique differentiation here is that `requests` table is much bigger and we are applying sampling to the `requests` table for a faster and cheaper result." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 488, + "referenced_widgets": [ + "469da89096554c75be4cb1b07ae15d10", + "30fc7e80d0814aaab0c6b7ed7986bbaa", + "a8b60508000e4c8db52199e077275622", + "59cfb0ebced9458cbd140abcecb8cee2", + "4cc7f46d0e734c71aaa49df574736fc8", + "a6ff7be4bf0f4291be2e9a21b75a0ed1", + "9b75de820009438ab0b93eed95f45283", + "c2f00bca3a0145dbaaed384f3ec91bf5", + "fe0fadb01407403f8d1a2445969df7e5", + "462d2179d200485fab2b8cebde0275bf", + "e1656abcde1d4e98965b526ea63e6dc2", + "a9a9669a49e046bb8e0df392ad86d2d5", + "ccd9107c4b0d45e683d2e4bdafacc365", + "9565bec0c58449358887de1f32104fee", + "caabdb9d6f8f4b2dbd72428c29327b78", + "0add8fd3c108480fb5b992d31be53254", + "95f24d866fe94c5bbdfc4a42e2d4c369", + "ad70c6b217bc430296df91a069ff52f2", + "aece9ec563b34f6baa2ec667315c3d8b", + "76bca57ebb6e4434ad1864ad7887a95e", + "199e42009d2c4e5aa7dad48d8ef4438e", + "cd3b1b27f6af456a9d8e746d0daafb57" + ] }, + "id": "0GBEhwv9gYEx", + "outputId": "f8ed3c8b-aa9b-40ca-f9a0-b053691c4f22" + }, + "outputs": [ { - "cell_type": "markdown", - "metadata": { - "id": "3wTANDmXgWK6" + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "469da89096554c75be4cb1b07ae15d10", + "version_major": 2, + "version_minor": 0 }, - "source": [ - "In the previous example we didn't use the requests table at all. However if we wanted to, we could do the same analysis by JOINing the request table. In order to do this, I've made the following modifications to the query above:\n", - "\n", - "* Named the tables (i.e., so we can reference \"httparchive.all.pages\" as \"pages\")\n", - "* Reference the tables for some of the columns that exist in both tables (such as page)\n", - "* Since we're focusing on images, we'll include `requests.type=\"image\"` in our WHERE clause.\n", - "* JOIN the tables `ON requests.page = pages.page`\n", - "\n", - "The below query is similar to the previous one, but uses both tables. The unique differentiation here is that `requests` table is much bigger and we are applying sampling to the `requests` table for a faster and cheaper result." + "text/plain": [ + "Query is running: 0%| |" ] + }, + "metadata": {}, + "output_type": "display_data" }, { - "cell_type": "code", - "execution_count": 4, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 488, - "referenced_widgets": [ - "469da89096554c75be4cb1b07ae15d10", - "30fc7e80d0814aaab0c6b7ed7986bbaa", - "a8b60508000e4c8db52199e077275622", - "59cfb0ebced9458cbd140abcecb8cee2", - "4cc7f46d0e734c71aaa49df574736fc8", - "a6ff7be4bf0f4291be2e9a21b75a0ed1", - "9b75de820009438ab0b93eed95f45283", - "c2f00bca3a0145dbaaed384f3ec91bf5", - "fe0fadb01407403f8d1a2445969df7e5", - "462d2179d200485fab2b8cebde0275bf", - "e1656abcde1d4e98965b526ea63e6dc2", - "a9a9669a49e046bb8e0df392ad86d2d5", - "ccd9107c4b0d45e683d2e4bdafacc365", - "9565bec0c58449358887de1f32104fee", - "caabdb9d6f8f4b2dbd72428c29327b78", - "0add8fd3c108480fb5b992d31be53254", - "95f24d866fe94c5bbdfc4a42e2d4c369", - "ad70c6b217bc430296df91a069ff52f2", - "aece9ec563b34f6baa2ec667315c3d8b", - "76bca57ebb6e4434ad1864ad7887a95e", - "199e42009d2c4e5aa7dad48d8ef4438e", - "cd3b1b27f6af456a9d8e746d0daafb57" - ] - }, - "id": "0GBEhwv9gYEx", - "outputId": "f8ed3c8b-aa9b-40ca-f9a0-b053691c4f22" + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "a9a9669a49e046bb8e0df392ad86d2d5", + "version_major": 2, + "version_minor": 0 }, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "469da89096554c75be4cb1b07ae15d10", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Query is running: 0%| |" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "a9a9669a49e046bb8e0df392ad86d2d5", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Downloading: 0%| |" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.google.colaboratory.intrinsic+json": { - "type": "dataframe" - }, - "text/html": [ - "\n", - "
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      4https://www.radiocolor.ro/368317514
      ............
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      \n" - ], - "text/plain": [ - " page image_requests image_bytes\n", - "0 https://princetel.com/ 1 69269304\n", - "1 https://hopeshasta.org/ 1 68550656\n", - "2 https://innoviz.tech/ 2 68533708\n", - "3 https://www.sassandbelle.co.uk/ 6 68387227\n", - "4 https://www.radiocolor.ro/ 3 68317514\n", - "... ... ... ...\n", - "10102030 https://niagarasushiandramen.com/ 1 \n", - "10102031 https://obituarios.elsalvador.com/ 1 \n", - "10102032 https://www.qcwxjs.com/ 1 \n", - "10102033 https://carispesifikasi.com/ 1 \n", - "10102034 https://www.blackwellrum.com/ 1 \n", - "\n", - "[10102035 rows x 3 columns]" - ] - }, - "execution_count": 4, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# This query will process 80 GB when run.\n", - "%%bigquery --project {GCP_PROJECT}\n", - "WITH pages AS (\n", - " SELECT\n", - " page\n", - " FROM `httparchive.all.pages`\n", - " WHERE date = '2024-05-01'\n", - " AND client='desktop'\n", - " AND is_root_page\n", - "), requests AS (\n", - " SELECT\n", - " page,\n", - " COUNT(0) AS image_requests,\n", - " SUM(CAST(JSON_VALUE(summary, '$.respBodySize') AS INT64)) AS image_bytes\n", - " FROM `httparchive.all.requests` TABLESAMPLE SYSTEM (10 PERCENT)\n", - " WHERE date = '2024-05-01'\n", - " AND client='desktop'\n", - " AND is_root_page\n", - " AND type = \"image\"\n", - " GROUP BY\n", - " page\n", - ")\n", - "\n", - "SELECT\n", - " pages.page,\n", - " image_requests,\n", - " image_bytes\n", - "FROM requests\n", - "LEFT JOIN pages\n", - "ON requests.page = pages.page\n", - "ORDER BY\n", - " image_bytes DESC" + "text/plain": [ + "Downloading: 0%| |" ] + }, + "metadata": {}, + "output_type": "display_data" }, { - "cell_type": "markdown", - "metadata": { - "id": "U2t1Gk2sgbDu" + "data": { + "application/vnd.google.colaboratory.intrinsic+json": { + "type": "dataframe" }, - "source": [ - "Some of these image weights seem quite extreme, but these represent the most image heavy sites in the archive. If you want to validate this, you can load one of the pages in DevTools or WebPageTest and see for yourself. For example based on the results above, https://princetel.com/ has 1 image totaling 110MB. WebPageTest confirms that this is accurate (although the image weight likely changed slightly between when the HTTP Archive saw the page vs when this manual test was performed." + "text/html": [ + "\n", + "
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      pageimage_requestsimage_bytes
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      4https://www.radiocolor.ro/368317514
      ............
      10102030https://niagarasushiandramen.com/1<NA>
      10102031https://obituarios.elsalvador.com/1<NA>
      10102032https://www.qcwxjs.com/1<NA>
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      10102034https://www.blackwellrum.com/1<NA>
      \n", + "

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      \n" + ], + "text/plain": [ + " page image_requests image_bytes\n", + "0 https://princetel.com/ 1 69269304\n", + "1 https://hopeshasta.org/ 1 68550656\n", + "2 https://innoviz.tech/ 2 68533708\n", + "3 https://www.sassandbelle.co.uk/ 6 68387227\n", + "4 https://www.radiocolor.ro/ 3 68317514\n", + "... ... ... ...\n", + "10102030 https://niagarasushiandramen.com/ 1 \n", + "10102031 https://obituarios.elsalvador.com/ 1 \n", + "10102032 https://www.qcwxjs.com/ 1 \n", + "10102033 https://carispesifikasi.com/ 1 \n", + "10102034 https://www.blackwellrum.com/ 1 \n", + "\n", + "[10102035 rows x 3 columns]" ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# This query will process 80 GB when run.\n", + "%%bigquery --project {GCP_PROJECT}\n", + "WITH pages AS (\n", + " SELECT\n", + " page\n", + " FROM `httparchive.crawl.pages`\n", + " WHERE date = '2024-05-01'\n", + " AND client='desktop'\n", + " AND is_root_page\n", + "), requests AS (\n", + " SELECT\n", + " page,\n", + " COUNT(0) AS image_requests,\n", + " SUM(INT64(summary.respBodySize)) AS image_bytes\n", + " FROM `httparchive.crawl.requests` TABLESAMPLE SYSTEM (10 PERCENT)\n", + " WHERE date = '2024-05-01'\n", + " AND client='desktop'\n", + " AND is_root_page\n", + " AND type = \"image\"\n", + " GROUP BY\n", + " page\n", + ")\n", + "\n", + "SELECT\n", + " pages.page,\n", + " image_requests,\n", + " image_bytes\n", + "FROM requests\n", + "LEFT JOIN pages\n", + "ON requests.page = pages.page\n", + "ORDER BY\n", + " image_bytes DESC" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "U2t1Gk2sgbDu" + }, + "source": [ + "Some of these image weights seem quite extreme, but these represent the most image heavy sites in the archive. If you want to validate this, you can load one of the pages in DevTools or WebPageTest and see for yourself. For example based on the results above, https://princetel.com/ has 1 image totaling 110MB. WebPageTest confirms that this is accurate (although the image weight likely changed slightly between when the HTTP Archive saw the page vs when this manual test was performed." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "Zh3tBFl92_JN" + }, + "source": [ + "# Content breakdown by mime/type" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 81, + "referenced_widgets": [ + "a2dee85becae4f19b63f63cd9b7a0f65", + "32842c8cddfd439e8b787bff8835685a", + "cfaf4fbe2e6d4437ba980687b29041e3", + "80543d1cf2444564a4796689fe394320", + "ade73ed1faf14377a1ea3b01f6075d5f", + "e3f778ea19c04dc9b1a5199c4c48f133", + "7a15837e52634a1aa0877c54a9e2f523", + "8fe4901b81cf447fbab2b42d97744efc", + "18b2bb6dc8af490b8cf79216cba4fc24", + "84040ba0d4d146039b58fa929e4bc4e6", + "657d1cf53f1746d5bc215867b0e2808f", + "4f95d90cf1fb4de690de002d68041d42", + "1932bd5ba326406685c835dcef8da9a2", + "b87223ab4a8740fd9a1c1c08bbf03d53", + "b450d9a04c7448ada9a16003ded7cc93", + "9562a4baee9f4b46805cdcfeb8129050", + "332b1c5e511d4fe38a31177fb564995e", + "25232272eaeb40cf8d44a6dd1593081d", + "bc76eede67b048e8833985b02286ed7d", + "b4e37cd66e004b759c90a40fbf1b38fc", + "75416a638b66422ba3caa1e9ecf175fe", + "bb3f22dbe7774752ab3b82a4709b62c5" + ] }, + "id": "Ho4ajWJa3k9j", + "outputId": "471b107f-d8b1-47a5-f227-87e3913db1ad" + }, + "outputs": [ { - "cell_type": "markdown", - "metadata": { - "id": "Zh3tBFl92_JN" + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "a2dee85becae4f19b63f63cd9b7a0f65", + "version_major": 2, + "version_minor": 0 }, - "source": [ - "# Content breakdown by mime/type" + "text/plain": [ + "Query is running: 0%| |" ] + }, + "metadata": {}, + "output_type": "display_data" }, { - "cell_type": "code", - "execution_count": 6, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 81, - "referenced_widgets": [ - "a2dee85becae4f19b63f63cd9b7a0f65", - "32842c8cddfd439e8b787bff8835685a", - "cfaf4fbe2e6d4437ba980687b29041e3", - "80543d1cf2444564a4796689fe394320", - "ade73ed1faf14377a1ea3b01f6075d5f", - "e3f778ea19c04dc9b1a5199c4c48f133", - "7a15837e52634a1aa0877c54a9e2f523", - "8fe4901b81cf447fbab2b42d97744efc", - "18b2bb6dc8af490b8cf79216cba4fc24", - "84040ba0d4d146039b58fa929e4bc4e6", - "657d1cf53f1746d5bc215867b0e2808f", - "4f95d90cf1fb4de690de002d68041d42", - "1932bd5ba326406685c835dcef8da9a2", - "b87223ab4a8740fd9a1c1c08bbf03d53", - "b450d9a04c7448ada9a16003ded7cc93", - "9562a4baee9f4b46805cdcfeb8129050", - "332b1c5e511d4fe38a31177fb564995e", - "25232272eaeb40cf8d44a6dd1593081d", - "bc76eede67b048e8833985b02286ed7d", - "b4e37cd66e004b759c90a40fbf1b38fc", - "75416a638b66422ba3caa1e9ecf175fe", - "bb3f22dbe7774752ab3b82a4709b62c5" - ] - }, - "id": "Ho4ajWJa3k9j", - "outputId": "471b107f-d8b1-47a5-f227-87e3913db1ad" + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "4f95d90cf1fb4de690de002d68041d42", + "version_major": 2, + "version_minor": 0 }, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "a2dee85becae4f19b63f63cd9b7a0f65", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Query is running: 0%| |" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "4f95d90cf1fb4de690de002d68041d42", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Downloading: 0%| |" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# This query will process 131 GB when run.\n", - "%%bigquery df_requests_type --project {GCP_PROJECT}\n", - "SELECT\n", - " type,\n", - " COUNT(0) AS requests,\n", - " SUM(CAST(JSON_VALUE(summary, '$.respBodySize') AS INT64)) AS bytes\n", - "FROM `httparchive.all.requests` TABLESAMPLE SYSTEM (5 PERCENT)\n", - "WHERE date = '2024-05-01'\n", - " AND client='desktop'\n", - " AND is_root_page\n", - " AND page='https://princetel.com/'\n", - "GROUP BY\n", - " type\n", - "ORDER BY\n", - " requests DESC" + "text/plain": [ + "Downloading: 0%| |" ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# This query will process 131 GB when run.\n", + "%%bigquery df_requests_type --project {GCP_PROJECT}\n", + "SELECT\n", + " type,\n", + " COUNT(0) AS requests,\n", + " SUM(INT64(summary.respBodySize)) AS bytes\n", + "FROM `httparchive.crawl.requests` TABLESAMPLE SYSTEM (5 PERCENT)\n", + "WHERE date = '2024-05-01'\n", + " AND client = 'desktop'\n", + " AND is_root_page\n", + " AND page = 'https://princetel.com/'\n", + "GROUP BY\n", + " type\n", + "ORDER BY\n", + " requests DESC" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 143 }, + "id": "E8su2VIxC9QR", + "outputId": "619459e6-34ca-4afa-c698-5a12d3d4c7bb" + }, + "outputs": [ { - "cell_type": "code", - "execution_count": 7, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 143 - }, - "id": "E8su2VIxC9QR", - "outputId": "619459e6-34ca-4afa-c698-5a12d3d4c7bb" + "data": { + "application/vnd.google.colaboratory.intrinsic+json": { + "summary": "{\n \"name\": \"df_requests_type\",\n \"rows\": 3,\n \"fields\": [\n {\n \"column\": \"type\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 3,\n \"samples\": [\n \"font\",\n \"script\",\n \"image\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"requests\",\n \"properties\": {\n \"dtype\": \"Int64\",\n \"num_unique_values\": 1,\n \"samples\": [\n 1\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"bytes\",\n \"properties\": {\n \"dtype\": \"Int64\",\n \"num_unique_values\": 3,\n \"samples\": [\n 7884\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}", + "type": "dataframe", + "variable_name": "df_requests_type" }, - "outputs": [ - { - "data": { - "application/vnd.google.colaboratory.intrinsic+json": { - "summary": "{\n \"name\": \"df_requests_type\",\n \"rows\": 3,\n \"fields\": [\n {\n \"column\": \"type\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 3,\n \"samples\": [\n \"font\",\n \"script\",\n \"image\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"requests\",\n \"properties\": {\n \"dtype\": \"Int64\",\n \"num_unique_values\": 1,\n \"samples\": [\n 1\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"bytes\",\n \"properties\": {\n \"dtype\": \"Int64\",\n \"num_unique_values\": 3,\n \"samples\": [\n 7884\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}", - "type": "dataframe", - "variable_name": "df_requests_type" - }, - "text/html": [ - "\n", - "
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      \n" ], - "source": [ - "df_requests_type.head()" + "text/plain": [ + " type requests bytes\n", + "0 font 1 7884\n", + "1 script 1 5004\n", + "2 image 1 47302" ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_requests_type.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 363 }, + "id": "-dU5G3-Kt3HV", + "outputId": "a9c9759b-5143-4711-ff27-a4ed763f1443" + }, + "outputs": [ { - "cell_type": "code", - "execution_count": 48, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 363 - }, - "id": "-dU5G3-Kt3HV", - "outputId": "a9c9759b-5143-4711-ff27-a4ed763f1443" - }, - "outputs": [ - { - "data": { - "text/html": [ - "\n", - "
      \n", - "" - ], - "text/plain": [ - "alt.LayerChart(...)" - ] - }, - "execution_count": 48, - "metadata": {}, - "output_type": "execute_result" - } + "data": { + "text/html": [ + "\n", + "
      \n", + "" ], - "source": [ - "pie_chart_requests = alt.Chart(df_requests_type).mark_arc().encode(\n", - " theta=alt.Theta(field=\"requests\", type=\"quantitative\", stack=True),\n", - " color=alt.Color(field=\"type\", type=\"nominal\", sort=None),\n", - " order=alt.Order(field=\"requests\", type=\"quantitative\", sort='descending'),\n", - " tooltip=[\"type\", alt.Tooltip(\"requests:Q\", format=\".0\")]\n", - ").properties(\n", - " title=\"Requests by Type\"\n", - ")\n", - "pie_chart_requests + pie_chart_requests.mark_text(\n", - " radius=160\n", - ").encode(\n", - " text=alt.Text(\"requests:Q\", format=\".0\")\n", - ")" + "text/plain": [ + "alt.LayerChart(...)" ] + }, + "execution_count": 48, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pie_chart_requests = alt.Chart(df_requests_type).mark_arc().encode(\n", + " theta=alt.Theta(field=\"requests\", type=\"quantitative\", stack=True),\n", + " color=alt.Color(field=\"type\", type=\"nominal\", sort=None),\n", + " order=alt.Order(field=\"requests\", type=\"quantitative\", sort='descending'),\n", + " tooltip=[\"type\", alt.Tooltip(\"requests:Q\", format=\".0\")]\n", + ").properties(\n", + " title=\"Requests by Type\"\n", + ")\n", + "pie_chart_requests + pie_chart_requests.mark_text(\n", + " radius=160\n", + ").encode(\n", + " text=alt.Text(\"requests:Q\", format=\".0\")\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 359 }, + "id": "JaBGV814GjlY", + "outputId": "07914137-12fb-4d70-9413-478b8048029a" + }, + "outputs": [ { - "cell_type": "code", - "execution_count": 47, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 359 - }, - "id": "JaBGV814GjlY", - "outputId": "07914137-12fb-4d70-9413-478b8048029a" - }, - "outputs": [ - { - "data": { - "text/html": [ - "\n", - "
      \n", - "" - ], - "text/plain": [ - "alt.LayerChart(...)" - ] - }, - "execution_count": 47, - "metadata": {}, - "output_type": "execute_result" - } + "data": { + "text/html": [ + "\n", + "
      \n", + "" ], - "source": [ - "pie_chart_bytes = alt.Chart(df_requests_type).mark_arc().encode(\n", - " theta=alt.Theta(field=\"bytes\", type=\"quantitative\", stack=True),\n", - " color=alt.Color(field=\"type\", type=\"nominal\", sort=None),\n", - " order=alt.Order(field=\"bytes\", type=\"quantitative\", sort='descending'),\n", - " tooltip=[\"type\", alt.Tooltip(\"bytes:Q\", format=\".1s\")]\n", - ").properties(\n", - " title=\"Bytes by Type\"\n", - ")\n", - "pie_chart_bytes + pie_chart_bytes.mark_text(\n", - " radius=160\n", - ").encode(\n", - " text=alt.Text(\"bytes:Q\", format=\".1s\")\n", - ")" + "text/plain": [ + "alt.LayerChart(...)" ] + }, + "execution_count": 47, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pie_chart_bytes = alt.Chart(df_requests_type).mark_arc().encode(\n", + " theta=alt.Theta(field=\"bytes\", type=\"quantitative\", stack=True),\n", + " color=alt.Color(field=\"type\", type=\"nominal\", sort=None),\n", + " order=alt.Order(field=\"bytes\", type=\"quantitative\", sort='descending'),\n", + " tooltip=[\"type\", alt.Tooltip(\"bytes:Q\", format=\".1s\")]\n", + ").properties(\n", + " title=\"Bytes by Type\"\n", + ")\n", + "pie_chart_bytes + pie_chart_bytes.mark_text(\n", + " radius=160\n", + ").encode(\n", + " text=alt.Text(\"bytes:Q\", format=\".1s\")\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "P3WbjDmSghdD" + }, + "source": [ + "If this was all the information we needed, then JOINING the `pages` table would have been unecessary. All the requests data can be aggregated using `page` column in `requests` table." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "KNYSJpOstPn-" + }, + "source": [ + "Another example we will look into is the requests for JS scripts and page `_TotalBlockingTime` metric within the `payload` column. We are using the `page` column to classify whether the `requests` data is first or third party content.\n", + "\n", + "The query below gets the median Total Blocking Time (TBT) per a number of first and third-party scripts." + ] + }, + { + "cell_type": "code", + "execution_count": 175, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 81, + "referenced_widgets": [ + "a4978a2a675b4c8093d5888fe097a0a6", + "03262f609a4843578b35b5e2fc79ab72", + "3773e3f9684943999e2c90c8196f70b5", + "e7fb63602f404184b2bd32905cf87f00", + "f9da6b8919084b618d88d9e85e2361b2", + "2cbaaafb8d10477184f0dcd80b882217", + "759111640996435fb98e53e2f1470e21", + "6605fc8165e14144bd2d8aec22c0d106", + "7a300e4fcd5146d89acf6a1bc34d523f", + "49b124cff22f434db5f5475213676828", + "83451b9b811c478f9bb74c9689918736", + "04bf982fe41c4a0dabf128db3493be7a", + "014b2da94ade42b595e3ccf614397faa", + "4eda685be30b4182bac58fc326db27ab", + "4233496dba034f518b2d25b6b3318168", + "b8d5fc50a65b4f41b6d5610dfca09835", + "fdadab76e6114ba3ba36256b9fde757e", + "0d6ab68b31954907a1bba0b5a5f7e029", + "fd99ad340dfa4f78b79e3695c388e3d8", + "9d46ec11380d486e8cb227dd651999fc", + "a09041530f4046a2b439be0491d6e36e", + "a7e0e23d9f804a2584dcb6023a89942f" + ] }, + "id": "qeU0sYHHglG4", + "outputId": "450d7ad2-ebf2-4f7e-96e8-44749b840e0b" + }, + "outputs": [ { - "cell_type": "markdown", - "metadata": { - "id": "P3WbjDmSghdD" + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "a4978a2a675b4c8093d5888fe097a0a6", + "version_major": 2, + "version_minor": 0 }, - "source": [ - "If this was all the information we needed, then JOINING the `pages` table would have been unecessary. All the requests data can be aggregated using `page` column in `requests` table." + "text/plain": [ + "Query is running: 0%| |" ] + }, + "metadata": {}, + "output_type": "display_data" }, { - "cell_type": "markdown", - "metadata": { - "id": "KNYSJpOstPn-" + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "04bf982fe41c4a0dabf128db3493be7a", + "version_major": 2, + "version_minor": 0 }, - "source": [ - "Another example we will look into is the requests for JS scripts and page `_TotalBlockingTime` metric within the `payload` column. We are using the `page` column to classify whether the `requests` data is first or third party content.\n", - "\n", - "The query below gets the median Total Blocking Time (TBT) per a number of first and third-party scripts." + "text/plain": [ + "Downloading: 0%| |" ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# This query will process 47 GB when run.\n", + "%%bigquery df_tbt_scripts --project {GCP_PROJECT}\n", + "WITH pages AS (\n", + " SELECT\n", + " page,\n", + " CAST(ROUND(FLOAT64(payload._TotalBlockingTime)/100)*100 AS INT64) AS TBT_bucket\n", + " FROM `httparchive.crawl.pages` TABLESAMPLE SYSTEM (1 PERCENT)\n", + " WHERE date = '2024-05-01'\n", + " AND client = 'desktop'\n", + " AND is_root_page\n", + " GROUP BY\n", + " page,\n", + " TBT_bucket\n", + "), requests AS (\n", + " SELECT\n", + " page,\n", + " NET.REG_DOMAIN(url) = NET.REG_DOMAIN(page) AS is_1p_script,\n", + " COUNT(0) AS count\n", + " FROM `httparchive.crawl.requests` TABLESAMPLE SYSTEM (10 PERCENT)\n", + " WHERE date = '2024-05-01'\n", + " AND client='desktop'\n", + " AND is_root_page\n", + " AND type = \"script\"\n", + " GROUP BY\n", + " page,\n", + " is_1p_script\n", + " HAVING is_1p_script IS NOT NULL\n", + ")\n", + "\n", + "SELECT\n", + " is_1p_script,\n", + " count,\n", + " APPROX_QUANTILES(TBT_bucket, 100)[50] AS TBT_median\n", + "FROM requests\n", + "INNER JOIN pages\n", + "ON requests.page = pages.page\n", + "GROUP BY\n", + " count,\n", + " is_1p_script\n", + "ORDER BY\n", + " count,\n", + " is_1p_script" + ] + }, + { + "cell_type": "code", + "execution_count": 176, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 424 }, + "id": "b_-oLuqLV3p5", + "outputId": "6c3ea76c-19fa-4dba-bbea-170bc5dfae41" + }, + "outputs": [ { - "cell_type": "code", - "execution_count": 175, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 81, - "referenced_widgets": [ - "a4978a2a675b4c8093d5888fe097a0a6", - "03262f609a4843578b35b5e2fc79ab72", - "3773e3f9684943999e2c90c8196f70b5", - "e7fb63602f404184b2bd32905cf87f00", - "f9da6b8919084b618d88d9e85e2361b2", - "2cbaaafb8d10477184f0dcd80b882217", - "759111640996435fb98e53e2f1470e21", - "6605fc8165e14144bd2d8aec22c0d106", - "7a300e4fcd5146d89acf6a1bc34d523f", - "49b124cff22f434db5f5475213676828", - "83451b9b811c478f9bb74c9689918736", - "04bf982fe41c4a0dabf128db3493be7a", - "014b2da94ade42b595e3ccf614397faa", - "4eda685be30b4182bac58fc326db27ab", - "4233496dba034f518b2d25b6b3318168", - "b8d5fc50a65b4f41b6d5610dfca09835", - "fdadab76e6114ba3ba36256b9fde757e", - "0d6ab68b31954907a1bba0b5a5f7e029", - "fd99ad340dfa4f78b79e3695c388e3d8", - "9d46ec11380d486e8cb227dd651999fc", - "a09041530f4046a2b439be0491d6e36e", - "a7e0e23d9f804a2584dcb6023a89942f" - ] - }, - "id": "qeU0sYHHglG4", - "outputId": "450d7ad2-ebf2-4f7e-96e8-44749b840e0b" + "data": { + "application/vnd.google.colaboratory.intrinsic+json": { + "summary": "{\n \"name\": \"df_tbt_scripts\",\n \"rows\": 127,\n \"fields\": [\n {\n \"column\": \"is_1p_script\",\n \"properties\": {\n \"dtype\": \"boolean\",\n \"num_unique_values\": 2,\n \"samples\": [\n true,\n false\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"count\",\n \"properties\": {\n \"dtype\": \"Int64\",\n \"num_unique_values\": 77,\n \"samples\": [\n 5,\n 36\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"TBT_median\",\n \"properties\": {\n \"dtype\": \"Int64\",\n \"num_unique_values\": 43,\n \"samples\": [\n 2000,\n 4600\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}", + "type": "dataframe", + "variable_name": "df_tbt_scripts" }, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "a4978a2a675b4c8093d5888fe097a0a6", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Query is running: 0%| |" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "04bf982fe41c4a0dabf128db3493be7a", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Downloading: 0%| |" - ] - }, - "metadata": {}, - "output_type": "display_data" - } + "text/html": [ + "\n", + "
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      \n" ], - "source": [ - "# This query will process 47 GB when run.\n", - "%%bigquery df_tbt_scripts --project {GCP_PROJECT}\n", - "WITH pages AS (\n", - " SELECT\n", - " page,\n", - " CAST(ROUND(CAST(JSON_VALUE(payload, '$._TotalBlockingTime') AS FLOAT64)/100)*100 AS INT64) AS TBT_bucket\n", - " FROM `httparchive.all.pages` TABLESAMPLE SYSTEM (1 PERCENT)\n", - " WHERE date = '2024-05-01'\n", - " AND client='desktop'\n", - " AND is_root_page\n", - " GROUP BY\n", - " page,\n", - " TBT_bucket\n", - "), requests AS (\n", - " SELECT\n", - " page,\n", - " NET.REG_DOMAIN(url) = NET.REG_DOMAIN(page) AS is_1p_script,\n", - " COUNT(0) AS count\n", - " FROM `httparchive.all.requests` TABLESAMPLE SYSTEM (10 PERCENT)\n", - " WHERE date = '2024-05-01'\n", - " AND client='desktop'\n", - " AND is_root_page\n", - " AND type = \"script\"\n", - " GROUP BY\n", - " page,\n", - " is_1p_script\n", - " HAVING is_1p_script IS NOT NULL\n", - ")\n", - "\n", - "SELECT\n", - " is_1p_script,\n", - " count,\n", - " APPROX_QUANTILES(TBT_bucket, 100)[50] AS TBT_median\n", - "FROM requests\n", - "INNER JOIN pages\n", - "ON requests.page = pages.page\n", - "GROUP BY\n", - " count,\n", - " is_1p_script\n", - "ORDER BY\n", - " count,\n", - " is_1p_script" + "text/plain": [ + " is_1p_script count TBT_median\n", + "0 False 1 100\n", + "1 True 1 100\n", + "2 False 2 100\n", + "3 True 2 100\n", + "4 False 3 200\n", + ".. ... ... ...\n", + "122 True 100 300\n", + "123 True 134 1100\n", + "124 False 226 0\n", + "125 False 255 0\n", + "126 False 374 3200\n", + "\n", + "[127 rows x 3 columns]" ] + }, + "execution_count": 176, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_tbt_scripts" + ] + }, + { + "cell_type": "code", + "execution_count": 177, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 685 }, + "id": "T-TaS-pB5iiu", + "outputId": "fb1c8d13-7089-4303-fffb-bbf410aaee7a" + }, + "outputs": [ { - "cell_type": "code", - "execution_count": 176, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 424 - }, - "id": "b_-oLuqLV3p5", - "outputId": "6c3ea76c-19fa-4dba-bbea-170bc5dfae41" - }, - "outputs": [ - { - "data": { - "application/vnd.google.colaboratory.intrinsic+json": { - "summary": "{\n \"name\": \"df_tbt_scripts\",\n \"rows\": 127,\n \"fields\": [\n {\n \"column\": \"is_1p_script\",\n \"properties\": {\n \"dtype\": \"boolean\",\n \"num_unique_values\": 2,\n \"samples\": [\n true,\n false\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"count\",\n \"properties\": {\n \"dtype\": \"Int64\",\n \"num_unique_values\": 77,\n \"samples\": [\n 5,\n 36\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"TBT_median\",\n \"properties\": {\n \"dtype\": \"Int64\",\n \"num_unique_values\": 43,\n \"samples\": [\n 2000,\n 4600\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}", - "type": "dataframe", - "variable_name": "df_tbt_scripts" - }, - "text/html": [ - "\n", - "
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      \n", + "" ], - "source": [ - "df_tbt_scripts" + "text/plain": [ + "alt.LayerChart(...)" ] + }, + "execution_count": 177, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# filter outliers\n", + "df_filtered = df_tbt_scripts[(df_tbt_scripts['TBT_median'] < 20000) & (df_tbt_scripts['count'] < 60)]\n", + "\n", + "base = alt.Chart(df_filtered).mark_circle(opacity=0.5).encode(\n", + " alt.X('count:Q').title('Script Count'),\n", + " alt.Y('TBT_median:Q').axis(format='s').title('Total Blocking Time, ms'),\n", + " alt.Color('is_1p_script:N').title('1st Party Script'),\n", + " tooltip=['TBT_median', 'is_1p_script', 'count']\n", + ").properties(\n", + " title=\"Total Blocking Time (ms) by 1st/3rd Script Count\",\n", + " width=1200,\n", + " height=600\n", + ")\n", + "\n", + "base + base.transform_loess('count', 'TBT_median', groupby=['is_1p_script']).mark_line()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "3T0Mu1hmgnC3" + }, + "source": [ + "**Note**: as the query in this guide is sampled the results may misrepresent the true metrics values.\n", + "\n", + "General trend is that 3rd-party scripts tend to have a bigger correllation with the TBT than 1st-party. The TBT tends to increase as the number of 3rd-party scripts increases up to 20 scripts of a particular type per page.\n", + "\n", + "After 20 scripts per page the TBT increases more 3rd-party scripts added to a page." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "SgFbeAF_gJHA" + }, + "source": [ + "You can also make a copy of the workbook and experiment with some of your own visualization ideas for the data as well." + ] + } + ], + "metadata": { + "colab": { + "provenance": [] + }, + "kernelspec": { + "display_name": "Python 3", + "name": "python3" + }, + "widgets": { + "application/vnd.jupyter.widget-state+json": { + "014b2da94ade42b595e3ccf614397faa": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HTMLModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_fdadab76e6114ba3ba36256b9fde757e", + "placeholder": "​", + "style": "IPY_MODEL_0d6ab68b31954907a1bba0b5a5f7e029", + "value": "Downloading: 100%" + } }, - { - "cell_type": "code", - "execution_count": 177, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 685 - }, - "id": "T-TaS-pB5iiu", - "outputId": "fb1c8d13-7089-4303-fffb-bbf410aaee7a" - }, - "outputs": [ - { - "data": { - "text/html": [ - "\n", - "\n", - "
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