Auto-generated code for 8.19

docs/reference.asciidoc

@@ -93,6 +93,7 @@ Some of the officially supported clients provide helpers to assist with bulk req
 * JavaScript: Check out `client.helpers.*`
 * .NET: Check out `BulkAllObservable`
 * PHP: Check out bulk indexing.
+* Ruby: Check out `Elasticsearch::Helpers::BulkHelper`
 
 **Submitting bulk requests with cURL**
 
@@ -2094,7 +2095,7 @@ client.termvectors({ index })
 ** *`doc` (Optional, object)*: An artificial document (a document not present in the index) for which you want to retrieve term vectors.
 ** *`filter` (Optional, { max_doc_freq, max_num_terms, max_term_freq, max_word_length, min_doc_freq, min_term_freq, min_word_length })*: Filter terms based on their tf-idf scores. This could be useful in order find out a good characteristic vector of a document. This feature works in a similar manner to the second phase of the More Like This Query.
 ** *`per_field_analyzer` (Optional, Record<string, string>)*: Override the default per-field analyzer. This is useful in order to generate term vectors in any fashion, especially when using artificial documents. When providing an analyzer for a field that already stores term vectors, the term vectors will be regenerated.
-** *`fields` (Optional, string | string[])*: A list of fields to include in the statistics. It is used as the default list unless a specific field list is provided in the `completion_fields` or `fielddata_fields` parameters.
+** *`fields` (Optional, string[])*: A list of fields to include in the statistics. It is used as the default list unless a specific field list is provided in the `completion_fields` or `fielddata_fields` parameters.
 ** *`field_statistics` (Optional, boolean)*: If `true`, the response includes: * The document count (how many documents contain this field). * The sum of document frequencies (the sum of document frequencies for all terms in this field). * The sum of total term frequencies (the sum of total term frequencies of each term in this field).
 ** *`offsets` (Optional, boolean)*: If `true`, the response includes term offsets.
 ** *`payloads` (Optional, boolean)*: If `true`, the response includes term payloads.
@@ -8208,17 +8209,18 @@ The following integrations are available through the inference API. You can find
 * Azure AI Studio (`completion`, `text_embedding`)
 * Azure OpenAI (`completion`, `text_embedding`)
 * Cohere (`completion`, `rerank`, `text_embedding`)
-* DeepSeek (`completion`, `chat_completion`)
+* DeepSeek (`chat_completion`, `completion`)
 * Elasticsearch (`rerank`, `sparse_embedding`, `text_embedding` - this service is for built-in models and models uploaded through Eland)
 * ELSER (`sparse_embedding`)
 * Google AI Studio (`completion`, `text_embedding`)
-* Google Vertex AI (`rerank`, `text_embedding`)
+* Google Vertex AI (`chat_completion`, `completion`, `rerank`, `text_embedding`)
 * Hugging Face (`chat_completion`, `completion`, `rerank`, `text_embedding`)
+* JinaAI (`rerank`, `text_embedding`)
+* Llama (`chat_completion`, `completion`, `text_embedding`)
 * Mistral (`chat_completion`, `completion`, `text_embedding`)
 * OpenAI (`chat_completion`, `completion`, `text_embedding`)
-* VoyageAI (`text_embedding`, `rerank`)
+* VoyageAI (`rerank`, `text_embedding`)
 * Watsonx inference integration (`text_embedding`)
-* JinaAI (`text_embedding`, `rerank`)
 
 {ref}/put-inference-api.html[Endpoint documentation]
 [source,ts]

src/api/api/bulk.ts

@@ -39,7 +39,7 @@ import * as TB from '../typesWithBodyKey'
 interface That { transport: Transport }
 
 /**
-  * Bulk index or delete documents. Perform multiple `index`, `create`, `delete`, and `update` actions in a single request. This reduces overhead and can greatly increase indexing speed. If the Elasticsearch security features are enabled, you must have the following index privileges for the target data stream, index, or index alias: * To use the `create` action, you must have the `create_doc`, `create`, `index`, or `write` index privilege. Data streams support only the `create` action. * To use the `index` action, you must have the `create`, `index`, or `write` index privilege. * To use the `delete` action, you must have the `delete` or `write` index privilege. * To use the `update` action, you must have the `index` or `write` index privilege. * To automatically create a data stream or index with a bulk API request, you must have the `auto_configure`, `create_index`, or `manage` index privilege. * To make the result of a bulk operation visible to search using the `refresh` parameter, you must have the `maintenance` or `manage` index privilege. Automatic data stream creation requires a matching index template with data stream enabled. The actions are specified in the request body using a newline delimited JSON (NDJSON) structure: ``` action_and_meta_data\n optional_source\n action_and_meta_data\n optional_source\n .... action_and_meta_data\n optional_source\n ``` The `index` and `create` actions expect a source on the next line and have the same semantics as the `op_type` parameter in the standard index API. A `create` action fails if a document with the same ID already exists in the target An `index` action adds or replaces a document as necessary. NOTE: Data streams support only the `create` action. To update or delete a document in a data stream, you must target the backing index containing the document. An `update` action expects that the partial doc, upsert, and script and its options are specified on the next line. A `delete` action does not expect a source on the next line and has the same semantics as the standard delete API. NOTE: The final line of data must end with a newline character (`\n`). Each newline character may be preceded by a carriage return (`\r`). When sending NDJSON data to the `_bulk` endpoint, use a `Content-Type` header of `application/json` or `application/x-ndjson`. Because this format uses literal newline characters (`\n`) as delimiters, make sure that the JSON actions and sources are not pretty printed. If you provide a target in the request path, it is used for any actions that don't explicitly specify an `_index` argument. A note on the format: the idea here is to make processing as fast as possible. As some of the actions are redirected to other shards on other nodes, only `action_meta_data` is parsed on the receiving node side. Client libraries using this protocol should try and strive to do something similar on the client side, and reduce buffering as much as possible. There is no "correct" number of actions to perform in a single bulk request. Experiment with different settings to find the optimal size for your particular workload. Note that Elasticsearch limits the maximum size of a HTTP request to 100mb by default so clients must ensure that no request exceeds this size. It is not possible to index a single document that exceeds the size limit, so you must pre-process any such documents into smaller pieces before sending them to Elasticsearch. For instance, split documents into pages or chapters before indexing them, or store raw binary data in a system outside Elasticsearch and replace the raw data with a link to the external system in the documents that you send to Elasticsearch. **Client suppport for bulk requests** Some of the officially supported clients provide helpers to assist with bulk requests and reindexing: * Go: Check out `esutil.BulkIndexer` * Perl: Check out `Search::Elasticsearch::Client::5_0::Bulk` and `Search::Elasticsearch::Client::5_0::Scroll` * Python: Check out `elasticsearch.helpers.*` * JavaScript: Check out `client.helpers.*` * .NET: Check out `BulkAllObservable` * PHP: Check out bulk indexing. **Submitting bulk requests with cURL** If you're providing text file input to `curl`, you must use the `--data-binary` flag instead of plain `-d`. The latter doesn't preserve newlines. For example: ``` $ cat requests { "index" : { "_index" : "test", "_id" : "1" } } { "field1" : "value1" } $ curl -s -H "Content-Type: application/x-ndjson" -XPOST localhost:9200/_bulk --data-binary "@requests"; echo {"took":7, "errors": false, "items":[{"index":{"_index":"test","_id":"1","_version":1,"result":"created","forced_refresh":false}}]} ``` **Optimistic concurrency control** Each `index` and `delete` action within a bulk API call may include the `if_seq_no` and `if_primary_term` parameters in their respective action and meta data lines. The `if_seq_no` and `if_primary_term` parameters control how operations are run, based on the last modification to existing documents. See Optimistic concurrency control for more details. **Versioning** Each bulk item can include the version value using the `version` field. It automatically follows the behavior of the index or delete operation based on the `_version` mapping. It also support the `version_type`. **Routing** Each bulk item can include the routing value using the `routing` field. It automatically follows the behavior of the index or delete operation based on the `_routing` mapping. NOTE: Data streams do not support custom routing unless they were created with the `allow_custom_routing` setting enabled in the template. **Wait for active shards** When making bulk calls, you can set the `wait_for_active_shards` parameter to require a minimum number of shard copies to be active before starting to process the bulk request. **Refresh** Control when the changes made by this request are visible to search. NOTE: Only the shards that receive the bulk request will be affected by refresh. Imagine a `_bulk?refresh=wait_for` request with three documents in it that happen to be routed to different shards in an index with five shards. The request will only wait for those three shards to refresh. The other two shards that make up the index do not participate in the `_bulk` request at all.
+  * Bulk index or delete documents. Perform multiple `index`, `create`, `delete`, and `update` actions in a single request. This reduces overhead and can greatly increase indexing speed. If the Elasticsearch security features are enabled, you must have the following index privileges for the target data stream, index, or index alias: * To use the `create` action, you must have the `create_doc`, `create`, `index`, or `write` index privilege. Data streams support only the `create` action. * To use the `index` action, you must have the `create`, `index`, or `write` index privilege. * To use the `delete` action, you must have the `delete` or `write` index privilege. * To use the `update` action, you must have the `index` or `write` index privilege. * To automatically create a data stream or index with a bulk API request, you must have the `auto_configure`, `create_index`, or `manage` index privilege. * To make the result of a bulk operation visible to search using the `refresh` parameter, you must have the `maintenance` or `manage` index privilege. Automatic data stream creation requires a matching index template with data stream enabled. The actions are specified in the request body using a newline delimited JSON (NDJSON) structure: ``` action_and_meta_data\n optional_source\n action_and_meta_data\n optional_source\n .... action_and_meta_data\n optional_source\n ``` The `index` and `create` actions expect a source on the next line and have the same semantics as the `op_type` parameter in the standard index API. A `create` action fails if a document with the same ID already exists in the target An `index` action adds or replaces a document as necessary. NOTE: Data streams support only the `create` action. To update or delete a document in a data stream, you must target the backing index containing the document. An `update` action expects that the partial doc, upsert, and script and its options are specified on the next line. A `delete` action does not expect a source on the next line and has the same semantics as the standard delete API. NOTE: The final line of data must end with a newline character (`\n`). Each newline character may be preceded by a carriage return (`\r`). When sending NDJSON data to the `_bulk` endpoint, use a `Content-Type` header of `application/json` or `application/x-ndjson`. Because this format uses literal newline characters (`\n`) as delimiters, make sure that the JSON actions and sources are not pretty printed. If you provide a target in the request path, it is used for any actions that don't explicitly specify an `_index` argument. A note on the format: the idea here is to make processing as fast as possible. As some of the actions are redirected to other shards on other nodes, only `action_meta_data` is parsed on the receiving node side. Client libraries using this protocol should try and strive to do something similar on the client side, and reduce buffering as much as possible. There is no "correct" number of actions to perform in a single bulk request. Experiment with different settings to find the optimal size for your particular workload. Note that Elasticsearch limits the maximum size of a HTTP request to 100mb by default so clients must ensure that no request exceeds this size. It is not possible to index a single document that exceeds the size limit, so you must pre-process any such documents into smaller pieces before sending them to Elasticsearch. For instance, split documents into pages or chapters before indexing them, or store raw binary data in a system outside Elasticsearch and replace the raw data with a link to the external system in the documents that you send to Elasticsearch. **Client suppport for bulk requests** Some of the officially supported clients provide helpers to assist with bulk requests and reindexing: * Go: Check out `esutil.BulkIndexer` * Perl: Check out `Search::Elasticsearch::Client::5_0::Bulk` and `Search::Elasticsearch::Client::5_0::Scroll` * Python: Check out `elasticsearch.helpers.*` * JavaScript: Check out `client.helpers.*` * .NET: Check out `BulkAllObservable` * PHP: Check out bulk indexing. * Ruby: Check out `Elasticsearch::Helpers::BulkHelper` **Submitting bulk requests with cURL** If you're providing text file input to `curl`, you must use the `--data-binary` flag instead of plain `-d`. The latter doesn't preserve newlines. For example: ``` $ cat requests { "index" : { "_index" : "test", "_id" : "1" } } { "field1" : "value1" } $ curl -s -H "Content-Type: application/x-ndjson" -XPOST localhost:9200/_bulk --data-binary "@requests"; echo {"took":7, "errors": false, "items":[{"index":{"_index":"test","_id":"1","_version":1,"result":"created","forced_refresh":false}}]} ``` **Optimistic concurrency control** Each `index` and `delete` action within a bulk API call may include the `if_seq_no` and `if_primary_term` parameters in their respective action and meta data lines. The `if_seq_no` and `if_primary_term` parameters control how operations are run, based on the last modification to existing documents. See Optimistic concurrency control for more details. **Versioning** Each bulk item can include the version value using the `version` field. It automatically follows the behavior of the index or delete operation based on the `_version` mapping. It also support the `version_type`. **Routing** Each bulk item can include the routing value using the `routing` field. It automatically follows the behavior of the index or delete operation based on the `_routing` mapping. NOTE: Data streams do not support custom routing unless they were created with the `allow_custom_routing` setting enabled in the template. **Wait for active shards** When making bulk calls, you can set the `wait_for_active_shards` parameter to require a minimum number of shard copies to be active before starting to process the bulk request. **Refresh** Control when the changes made by this request are visible to search. NOTE: Only the shards that receive the bulk request will be affected by refresh. Imagine a `_bulk?refresh=wait_for` request with three documents in it that happen to be routed to different shards in an index with five shards. The request will only wait for those three shards to refresh. The other two shards that make up the index do not participate in the `_bulk` request at all.
   * @see {@link https://www.elastic.co/guide/en/elasticsearch/reference/8.19/docs-bulk.html | Elasticsearch API documentation}
   */
 export default async function BulkApi<TDocument = unknown, TPartialDocument = unknown> (this: That, params: T.BulkRequest<TDocument, TPartialDocument> | TB.BulkRequest<TDocument, TPartialDocument>, options?: TransportRequestOptionsWithOutMeta): Promise<T.BulkResponse>