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🎉 New Destination: Databricks (airbytehq#5998)
Implement new destination connector for databricks delta lake. Resolves airbytehq#2075. Co-authored-by: George Claireaux <[email protected]> Co-authored-by: Sherif A. Nada <[email protected]>
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airbyte-integrations/connectors/destination-databricks/.dockerignore
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* | ||
!Dockerfile | ||
!build |
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airbyte-integrations/connectors/destination-databricks/.gitignore
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# The driver is not checked into the source code due to legal reasons. | ||
# You can download the driver here: | ||
# https://databricks.com/spark/jdbc-drivers-download | ||
# By downloading this driver, you agree to the terms & conditions: | ||
# https://databricks.com/jdbc-odbc-driver-license | ||
lib/SparkJDBC42.jar |
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airbyte-integrations/connectors/destination-databricks/BOOTSTRAP.md
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# Databricks Destination Connector Bootstrap | ||
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The Databricks Connector enables a developer to sync data into a Databricks cluster. It does so in two steps: | ||
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1. Persist source data in S3 staging files in the Parquet format. | ||
2. Create delta table based on the Parquet staging files. |
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airbyte-integrations/connectors/destination-databricks/Dockerfile
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FROM airbyte/integration-base-java:dev | ||
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WORKDIR /airbyte | ||
ENV APPLICATION destination-databricks | ||
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COPY build/distributions/${APPLICATION}*.tar ${APPLICATION}.tar | ||
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RUN tar xf ${APPLICATION}.tar --strip-components=1 | ||
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LABEL io.airbyte.version=0.1.0 | ||
LABEL io.airbyte.name=airbyte/destination-databricks |
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airbyte-integrations/connectors/destination-databricks/README.md
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# Destination Databricks | ||
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This is the repository for the Databricks destination connector in Java. | ||
For information about how to use this connector within Airbyte, see [the User Documentation](https://docs.airbyte.io/integrations/destinations/databricks). | ||
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## Databricks JDBC Driver | ||
This connector requires a JDBC driver to connect to Databricks cluster. The driver is developed by Simba. Before downloading and using this driver, you must agree to the [JDBC ODBC driver license](https://databricks.com/jdbc-odbc-driver-license). This means that you can only use this driver to connector third party applications to Apache Spark SQL within a Databricks offering using the ODBC and/or JDBC protocols. The driver can be downloaded from [here](https://databricks.com/spark/jdbc-drivers-download). | ||
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This is currently a private connector that is only available in Airbyte Cloud. To build and publish this connector, first download the driver and put it under the `lib` directory. Please do not publish this connector publicly. We are working on a solution to publicize it. | ||
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## Local development | ||
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#### Building via Gradle | ||
From the Airbyte repository root, run: | ||
``` | ||
./gradlew :airbyte-integrations:connectors:destination-databricks:build | ||
``` | ||
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#### Create credentials | ||
**If you are a community contributor**, you will need access to AWS S3 and Databricks cluster to run the integration tests: | ||
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- Create a Databricks cluster. See [documentation](https://docs.databricks.com/clusters/create.html). | ||
- Create an S3 bucket. See [documentation](https://docs.aws.amazon.com/general/latest/gr/aws-sec-cred-types.html#access-keys-and-secret-access-keys). | ||
- Grant the Databricks cluster full access to the S3 bucket. Or mount it as Databricks File System (DBFS). See [documentation](https://docs.databricks.com/data/data-sources/aws/amazon-s3.html). | ||
- Place both Databricks and S3 credentials in `sample_secrets/config.json`, which conforms to the spec file in `src/main/resources/spec.json`. | ||
- Rename the directory from `sample_secrets` to `secrets`. | ||
- Note that the `secrets` directory is git-ignored by default, so there is no danger of accidentally checking in sensitive information. | ||
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**If you are an Airbyte core member**: | ||
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- Get the `destination databricks creds` secrets on Last Pass, and put it in `sample_secrets/config.json`. | ||
- Rename the directory from `sample_secrets` to `secrets`. | ||
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### Locally running the connector docker image | ||
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#### Build | ||
Build the connector image via Gradle: | ||
``` | ||
./gradlew :airbyte-integrations:connectors:destination-databricks:airbyteDocker | ||
``` | ||
When building via Gradle, the docker image name and tag, respectively, are the values of the `io.airbyte.name` and `io.airbyte.version` `LABEL`s in | ||
the Dockerfile. | ||
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#### Run | ||
Then run any of the connector commands as follows: | ||
``` | ||
docker run --rm airbyte/destination-databricks:dev spec | ||
docker run --rm -v $(pwd)/secrets:/secrets airbyte/destination-databricks:dev check --config /secrets/config.json | ||
docker run --rm -v $(pwd)/secrets:/secrets airbyte/destination-databricks:dev discover --config /secrets/config.json | ||
docker run --rm -v $(pwd)/secrets:/secrets -v $(pwd)/integration_tests:/integration_tests airbyte/destination-databricks:dev read --config /secrets/config.json --catalog /integration_tests/configured_catalog.json | ||
``` | ||
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## Testing | ||
We use `JUnit` for Java tests. | ||
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### Unit and Integration Tests | ||
Place unit tests under `src/test/io/airbyte/integrations/destinations/databricks`. | ||
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#### Acceptance Tests | ||
Airbyte has a standard test suite that all destination connectors must pass. Implement the `TODO`s in | ||
`src/test-integration/java/io/airbyte/integrations/destinations/databricksDestinationAcceptanceTest.java`. | ||
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### Using gradle to run tests | ||
All commands should be run from airbyte project root. | ||
To run unit tests: | ||
``` | ||
./gradlew :airbyte-integrations:connectors:destination-databricks:unitTest | ||
``` | ||
To run acceptance and custom integration tests: | ||
``` | ||
./gradlew :airbyte-integrations:connectors:destination-databricks:integrationTest | ||
``` | ||
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## Dependency Management | ||
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### Publishing a new version of the connector | ||
You've checked out the repo, implemented a million dollar feature, and you're ready to share your changes with the world. Now what? | ||
1. Make sure your changes are passing unit and integration tests. | ||
1. Bump the connector version in `Dockerfile` -- just increment the value of the `LABEL io.airbyte.version` appropriately (we use [SemVer](https://semver.org/)). | ||
1. Create a Pull Request. | ||
1. Pat yourself on the back for being an awesome contributor. | ||
1. Someone from Airbyte will take a look at your PR and iterate with you to merge it into master. |
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airbyte-integrations/connectors/destination-databricks/build.gradle
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plugins { | ||
id 'application' | ||
id 'airbyte-docker' | ||
id 'airbyte-integration-test-java' | ||
} | ||
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application { | ||
mainClass = 'io.airbyte.integrations.destination.databricks.DatabricksDestination' | ||
} | ||
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dependencies { | ||
implementation project(':airbyte-db:lib') | ||
implementation project(':airbyte-config:models') | ||
implementation project(':airbyte-protocol:models') | ||
implementation project(':airbyte-integrations:bases:base-java') | ||
implementation files(project(':airbyte-integrations:bases:base-java').airbyteDocker.outputs) | ||
implementation project(':airbyte-integrations:connectors:destination-jdbc') | ||
implementation project(':airbyte-integrations:connectors:destination-s3') | ||
// Spark JDBC is not checked into the repo for legal reason | ||
implementation files("lib/SparkJDBC42.jar") | ||
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// parquet | ||
implementation group: 'org.apache.hadoop', name: 'hadoop-common', version: '3.3.0' | ||
implementation group: 'org.apache.hadoop', name: 'hadoop-aws', version: '3.3.0' | ||
implementation group: 'org.apache.hadoop', name: 'hadoop-mapreduce-client-core', version: '3.3.0' | ||
implementation group: 'org.apache.parquet', name: 'parquet-avro', version: '1.12.0' | ||
implementation group: 'tech.allegro.schema.json2avro', name: 'converter', version: '0.2.10' | ||
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integrationTestJavaImplementation project(':airbyte-integrations:bases:standard-destination-test') | ||
integrationTestJavaImplementation project(':airbyte-integrations:connectors:destination-databricks') | ||
} |
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airbyte-integrations/connectors/destination-databricks/sample_secrets/config.json
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{ | ||
"databricks_server_hostname": "required", | ||
"databricks_http_path": "required", | ||
"databricks_port": "443", | ||
"databricks_personal_access_token": "required", | ||
"database_schema": "public", | ||
"data_source": { | ||
"data_source_type": "S3", | ||
"s3_bucket_name": "required", | ||
"s3_bucket_path":"required", | ||
"s3_bucket_region": "required", | ||
"s3_access_key_id": "required", | ||
"s3_secret_access_key": "required" | ||
} | ||
} |
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...cks/src/main/java/io/airbyte/integrations/destination/databricks/DatabricksConstants.java
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package io.airbyte.integrations.destination.databricks; | ||
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import java.util.Set; | ||
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public class DatabricksConstants { | ||
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public static final String DATABRICKS_USERNAME = "token"; | ||
public static final String DATABRICKS_DRIVER_CLASS = "com.simba.spark.jdbc.Driver"; | ||
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public static final Set<String> DEFAULT_TBL_PROPERTIES = Set.of( | ||
"delta.autoOptimize.optimizeWrite = true", | ||
"delta.autoOptimize.autoCompact = true"); | ||
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} |
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...s/src/main/java/io/airbyte/integrations/destination/databricks/DatabricksDestination.java
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/* | ||
* MIT License | ||
* | ||
* Copyright (c) 2020 Airbyte | ||
* | ||
* Permission is hereby granted, free of charge, to any person obtaining a copy | ||
* of this software and associated documentation files (the "Software"), to deal | ||
* in the Software without restriction, including without limitation the rights | ||
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell | ||
* copies of the Software, and to permit persons to whom the Software is | ||
* furnished to do so, subject to the following conditions: | ||
* | ||
* The above copyright notice and this permission notice shall be included in all | ||
* copies or substantial portions of the Software. | ||
* | ||
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR | ||
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, | ||
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE | ||
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER | ||
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, | ||
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE | ||
* SOFTWARE. | ||
*/ | ||
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package io.airbyte.integrations.destination.databricks; | ||
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import com.fasterxml.jackson.databind.JsonNode; | ||
import io.airbyte.db.Databases; | ||
import io.airbyte.db.jdbc.JdbcDatabase; | ||
import io.airbyte.integrations.base.AirbyteMessageConsumer; | ||
import io.airbyte.integrations.base.IntegrationRunner; | ||
import io.airbyte.integrations.destination.ExtendedNameTransformer; | ||
import io.airbyte.integrations.destination.jdbc.SqlOperations; | ||
import io.airbyte.integrations.destination.jdbc.copy.CopyConsumerFactory; | ||
import io.airbyte.integrations.destination.jdbc.copy.CopyDestination; | ||
import io.airbyte.integrations.destination.jdbc.copy.s3.S3StreamCopier; | ||
import io.airbyte.protocol.models.AirbyteMessage; | ||
import io.airbyte.protocol.models.ConfiguredAirbyteCatalog; | ||
import java.util.function.Consumer; | ||
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public class DatabricksDestination extends CopyDestination { | ||
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public DatabricksDestination() { | ||
super("database_schema"); | ||
} | ||
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public static void main(String[] args) throws Exception { | ||
new IntegrationRunner(new DatabricksDestination()).run(args); | ||
} | ||
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@Override | ||
public AirbyteMessageConsumer getConsumer(JsonNode config, ConfiguredAirbyteCatalog catalog, Consumer<AirbyteMessage> outputRecordCollector) { | ||
DatabricksDestinationConfig databricksConfig = DatabricksDestinationConfig.get(config); | ||
return CopyConsumerFactory.create( | ||
outputRecordCollector, | ||
getDatabase(config), | ||
getSqlOperations(), | ||
getNameTransformer(), | ||
databricksConfig, | ||
catalog, | ||
new DatabricksStreamCopierFactory(), | ||
databricksConfig.getDatabaseSchema()); | ||
} | ||
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@Override | ||
public void checkPersistence(JsonNode config) { | ||
DatabricksDestinationConfig databricksConfig = DatabricksDestinationConfig.get(config); | ||
S3StreamCopier.attemptS3WriteAndDelete(databricksConfig.getS3DestinationConfig().getS3Config()); | ||
} | ||
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@Override | ||
public ExtendedNameTransformer getNameTransformer() { | ||
return new DatabricksNameTransformer(); | ||
} | ||
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@Override | ||
public JdbcDatabase getDatabase(JsonNode jsonConfig) { | ||
return getDatabase(DatabricksDestinationConfig.get(jsonConfig)); | ||
} | ||
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@Override | ||
public SqlOperations getSqlOperations() { | ||
return new DatabricksSqlOperations(); | ||
} | ||
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static String getDatabricksConnectionString(DatabricksDestinationConfig databricksConfig) { | ||
return String.format("jdbc:spark://%s:%s/default;transportMode=http;ssl=1;httpPath=%s;UserAgentEntry=Airbyte", | ||
databricksConfig.getDatabricksServerHostname(), | ||
databricksConfig.getDatabricksPort(), | ||
databricksConfig.getDatabricksHttpPath()); | ||
} | ||
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static JdbcDatabase getDatabase(DatabricksDestinationConfig databricksConfig) { | ||
return Databases.createJdbcDatabase( | ||
DatabricksConstants.DATABRICKS_USERNAME, | ||
databricksConfig.getDatabricksPersonalAccessToken(), | ||
getDatabricksConnectionString(databricksConfig), | ||
DatabricksConstants.DATABRICKS_DRIVER_CLASS); | ||
} | ||
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} |
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