SDK version support status

Warning: Dataflow SDK 1.x for Java is unsupported as of October 16, 2018. After August 12, 2020, you can use unsupported SDKs temporarily while you upgrade your pipelines. For more information, see Using an unsupported SDK.

For information on migrating from the 1.x SDK, see Migrating from Dataflow SDK 1.x for Java.

SDK Decommission Notice: The following SDK versions will be decommissioned by August 12, 2020 due to the discontinuation of support for JSON-RPC and Global HTTP Batch Endpoints.

• Apache Beam SDK for Java, versions 2.0.0 to 2.4.0 (inclusive)
• Apache Beam SDK for Python, versions 2.0.0 to 2.4.0 (inclusive)
• Dataflow SDK for Java, versions 2.0.0 to 2.4.0 (inclusive)
• Dataflow SDK for Python, 2.0.0 to 2.4.0 (inclusive)

You are encouraged to update to the latest Apache Beam SDK version. However, you can continue to use unsupported SDKs temporarily while you upgrade your pipelines. For more information, see Using an unsupported SDK.

Dataflow SDK Deprecation Notice: The Dataflow SDK 2.5.0 is the last Dataflow SDK release that is separate from the Apache Beam SDK releases. The Dataflow service supports official Apache Beam SDK releases as documented in the SDK version support status page.

This page lists the support status for Apache Beam and Dataflow SDK releases:

• Apache Beam 2.x SDKs
• Cloud Dataflow 2.x SDKs
• Cloud Dataflow 1.x SDKs

Apache Beam 2.x SDKs

SDK Decommission Notice: The following SDK versions will be decommissioned by August 12, 2020 due to the discontinuation of support for JSON-RPC and Global HTTP Batch Endpoints.

• Apache Beam SDK for Java, versions 2.0.0 to 2.4.0 (inclusive)
• Apache Beam SDK for Python, versions 2.0.0 to 2.4.0 (inclusive)
• Dataflow SDK for Java, versions 2.0.0 to 2.4.0 (inclusive)
• Dataflow SDK for Python, 2.0.0 to 2.4.0 (inclusive)

You are encouraged to update to the latest Apache Beam SDK version. However, you can continue to use unsupported SDKs temporarily while you upgrade your pipelines. For more information, see Using an unsupported SDK.

Apache Beam is an open source, community-led project. Google is part of the community, but we do not own the project or control the release process. We might open bugs or submit patches to the Apache Beam codebase on behalf of Dataflow customers, but we cannot create hotfixes or official releases of Apache Beam on demand. See the Apache Beam policies page for more details about release policies.

Dataflow supports specific Apache Beam SDK components for the SDK releases listed below. These components have been tested thoroughly with Dataflow. Experimental features are not supported.

See the Apache Beam release notes for change information.

Note: Development SDK versions (marked as -SNAPSHOT for Java and .dev for Python) are unsupported.

The following tables contains the support status for the Apache Beam 2.x SDKs:

Java

SDK version(s)	Status	Supported components	Details
2.25.0	Supported	org.apache.beam:beam-sdks-java-core org.apache.beam:beam-sdks-java-io-google-cloud-platform org.apache.beam:beam-sdks-java-extensions-google-cloud-platform-core org.apache.beam:beam-sdks-java-extensions-protobuf org.apache.beam:beam-runners-direct-java Google Cloud I/O connectors under module org.apache.beam:beam-runners-google-cloud-dataflow-java: bigquery, bigtable, datastore, healthcare, pubsub, spanner org.apache.beam:beam-model-pipeline org.apache.beam:beam-runners-core-construction-java org.apache.beam:beam-model-job-management org.apache.beam:beam-sdks-java-io-kafka	This version will be deprecated on October 23, 2021.
2.24.0	Supported	org.apache.beam:beam-sdks-java-core org.apache.beam:beam-sdks-java-io-google-cloud-platform org.apache.beam:beam-sdks-java-extensions-google-cloud-platform-core org.apache.beam:beam-sdks-java-extensions-protobuf org.apache.beam:beam-runners-direct-java Google Cloud I/O connectors under module org.apache.beam:beam-runners-google-cloud-dataflow-java: bigquery, bigtable, datastore, healthcare, pubsub, spanner org.apache.beam:beam-model-pipeline org.apache.beam:beam-runners-core-construction-java org.apache.beam:beam-model-job-management org.apache.beam:beam-sdks-java-io-kafka	This version will be deprecated on September 18, 2021. Known issue: If you use timers that reset, rather than timers that are set and only fired once, you should not upgrade to 2.24.0. When a timer fires but is reset prior to being executed, a watermark hold can be leaked, causing your pipeline job to be stuck. See the Apache Beam issue tracker for more information.
2.23.0	Supported	org.apache.beam:beam-sdks-java-core org.apache.beam:beam-sdks-java-io-google-cloud-platform org.apache.beam:beam-sdks-java-extensions-google-cloud-platform-core org.apache.beam:beam-sdks-java-extensions-protobuf org.apache.beam:beam-runners-direct-java Google Cloud I/O connectors under module org.apache.beam:beam-runners-google-cloud-dataflow-java: bigquery, bigtable, datastore, healthcare, pubsub, spanner org.apache.beam:beam-model-pipeline org.apache.beam:beam-runners-core-construction-java org.apache.beam:beam-model-job-management org.apache.beam:beam-sdks-java-io-kafka	This version will be deprecated on July 29, 2021.
2.22.0	Supported	org.apache.beam:beam-sdks-java-core org.apache.beam:beam-sdks-java-io-google-cloud-platform org.apache.beam:beam-sdks-java-extensions-google-cloud-platform-core org.apache.beam:beam-sdks-java-extensions-protobuf org.apache.beam:beam-runners-direct-java Google Cloud I/O connectors under module org.apache.beam:beam-runners-google-cloud-dataflow-java: bigquery, bigtable, datastore, healthcare, pubsub, spanner org.apache.beam:beam-model-pipeline org.apache.beam:beam-runners-core-construction-java org.apache.beam:beam-model-job-management org.apache.beam:beam-sdks-java-io-kafka	This version will be deprecated on June 8, 2021.
2.21.0	Supported	org.apache.beam:beam-sdks-java-core org.apache.beam:beam-sdks-java-io-google-cloud-platform org.apache.beam:beam-sdks-java-extensions-google-cloud-platform-core org.apache.beam:beam-sdks-java-extensions-protobuf org.apache.beam:beam-runners-direct-java org.apache.beam:beam-runners-google-cloud-dataflow-java org.apache.beam:beam-model-pipeline org.apache.beam:beam-runners-core-construction-java org.apache.beam:beam-model-job-management org.apache.beam:beam-sdks-java-io-kafka	This version will be deprecated on May 27, 2021.
2.20.0	Supported	org.apache.beam:beam-sdks-java-core org.apache.beam:beam-sdks-java-io-google-cloud-platform org.apache.beam:beam-sdks-java-extensions-google-cloud-platform-core org.apache.beam:beam-sdks-java-extensions-protobuf org.apache.beam:beam-runners-direct-java org.apache.beam:beam-runners-google-cloud-dataflow-java org.apache.beam:beam-model-pipeline org.apache.beam:beam-runners-core-construction-java org.apache.beam:beam-model-job-management org.apache.beam:beam-sdks-java-io-kafka	This version will be deprecated on April 15, 2021.
2.19.0	Supported	org.apache.beam:beam-sdks-java-core org.apache.beam:beam-sdks-java-io-google-cloud-platform org.apache.beam:beam-sdks-java-extensions-google-cloud-platform-core org.apache.beam:beam-sdks-java-extensions-protobuf org.apache.beam:beam-runners-direct-java org.apache.beam:beam-runners-google-cloud-dataflow-java org.apache.beam:beam-model-pipeline org.apache.beam:beam-runners-core-construction-java org.apache.beam:beam-model-job-management org.apache.beam:beam-sdks-java-io-kafka	This version will be deprecated on February 4, 2021.
2.18.0	Supported	org.apache.beam:beam-sdks-java-core org.apache.beam:beam-sdks-java-io-google-cloud-platform org.apache.beam:beam-sdks-java-extensions-google-cloud-platform-core org.apache.beam:beam-sdks-java-extensions-protobuf org.apache.beam:beam-runners-direct-java org.apache.beam:beam-runners-google-cloud-dataflow-java org.apache.beam:beam-model-pipeline org.apache.beam:beam-runners-core-construction-java org.apache.beam:beam-model-job-management org.apache.beam:beam-sdks-java-io-kafka	This version will be deprecated on January 23, 2021.
2.17.0	Supported	org.apache.beam:beam-sdks-java-core org.apache.beam:beam-sdks-java-io-google-cloud-platform org.apache.beam:beam-sdks-java-extensions-google-cloud-platform-core org.apache.beam:beam-sdks-java-extensions-protobuf org.apache.beam:beam-runners-direct-java org.apache.beam:beam-runners-google-cloud-dataflow-java org.apache.beam:beam-model-pipeline org.apache.beam:beam-runners-core-construction-java org.apache.beam:beam-model-job-management org.apache.beam:beam-sdks-java-io-kafka	This version will be deprecated on January 6, 2021.
2.16.0	Deprecated	org.apache.beam:beam-sdks-java-core org.apache.beam:beam-sdks-java-io-google-cloud-platform org.apache.beam:beam-sdks-java-extensions-google-cloud-platform-core org.apache.beam:beam-sdks-java-extensions-protobuf org.apache.beam:beam-runners-direct-java org.apache.beam:beam-runners-google-cloud-dataflow-java org.apache.beam:beam-model-pipeline org.apache.beam:beam-runners-core-construction-java org.apache.beam:beam-model-job-management org.apache.beam:beam-sdks-java-io-kafka	Deprecated on October 7, 2020.
2.15.0	Deprecated	org.apache.beam:beam-sdks-java-core org.apache.beam:beam-sdks-java-io-google-cloud-platform org.apache.beam:beam-sdks-java-extensions-google-cloud-platform-core org.apache.beam:beam-sdks-java-extensions-protobuf org.apache.beam:beam-runners-direct-java org.apache.beam:beam-runners-google-cloud-dataflow-java org.apache.beam:beam-model-pipeline org.apache.beam:beam-runners-core-construction-java org.apache.beam:beam-model-job-management org.apache.beam:beam-sdks-java-io-kafka	Deprecated on August 23, 2020. Known issues: Dataflow users who use schema features (including SQL transforms) should not upgrade to 2.15.0 due to a known issue. See the Apache Beam issue tracker for more information.
2.14.0	Deprecated	org.apache.beam:beam-sdks-java-core org.apache.beam:beam-sdks-java-io-google-cloud-platform org.apache.beam:beam-sdks-java-extensions-google-cloud-platform-core org.apache.beam:beam-sdks-java-extensions-protobuf org.apache.beam:beam-runners-direct-java org.apache.beam:beam-runners-google-cloud-dataflow-java org.apache.beam:beam-model-pipeline org.apache.beam:beam-runners-core-construction-java org.apache.beam:beam-model-job-management org.apache.beam:beam-sdks-java-io-kafka	Deprecated on August 1, 2020.
2.13.0	Deprecated	org.apache.beam:beam-sdks-java-core org.apache.beam:beam-sdks-java-io-google-cloud-platform org.apache.beam:beam-sdks-java-extensions-google-cloud-platform-core org.apache.beam:beam-sdks-java-extensions-protobuf org.apache.beam:beam-runners-direct-java org.apache.beam:beam-runners-google-cloud-dataflow-java org.apache.beam:beam-model-pipeline org.apache.beam:beam-runners-core-construction-java org.apache.beam:beam-model-job-management org.apache.beam:beam-sdks-java-io-kafka	Deprecated on June 6, 2020. This release adds experimental support for JDK 9 or above. See the Apache Beam issue tracker for more information.
2.12.0	Deprecated	org.apache.beam:beam-sdks-java-core org.apache.beam:beam-sdks-java-io-google-cloud-platform org.apache.beam:beam-sdks-java-extensions-google-cloud-platform-core org.apache.beam:beam-sdks-java-extensions-protobuf org.apache.beam:beam-runners-direct-java org.apache.beam:beam-runners-google-cloud-dataflow-java org.apache.beam:beam-model-pipeline org.apache.beam:beam-runners-core-construction-java org.apache.beam:beam-model-job-management org.apache.beam:beam-sdks-java-io-kafka	Deprecated on April 25, 2020. Known issues: The Dataflow runner has an incorrect logging configuration that might cause all logs to be missing. To work around this issue, add slf4j-jdk14 to your runtime dependencies.
2.11.0	Deprecated	org.apache.beam:beam-sdks-java-core org.apache.beam:beam-sdks-java-io-google-cloud-platform org.apache.beam:beam-sdks-java-extensions-google-cloud-platform-core org.apache.beam:beam-sdks-java-extensions-protobuf org.apache.beam:beam-runners-direct-java org.apache.beam:beam-runners-google-cloud-dataflow-java org.apache.beam:beam-model-pipeline org.apache.beam:beam-runners-core-construction-java org.apache.beam:beam-model-job-management org.apache.beam:beam-sdks-java-io-kafka	Deprecated as of March 1, 2020. Known issues: The Dataflow runner has an incorrect logging configuration that might cause all logs to be missing. To work around this issue, add slf4j-jdk14 to your runtime dependencies.
2.10.0	Deprecated	org.apache.beam:beam-sdks-java-core org.apache.beam:beam-sdks-java-io-google-cloud-platform org.apache.beam:beam-sdks-java-extensions-google-cloud-platform-core org.apache.beam:beam-sdks-java-extensions-protobuf org.apache.beam:beam-runners-direct-java org.apache.beam:beam-runners-google-cloud-dataflow-java org.apache.beam:beam-model-pipeline org.apache.beam:beam-runners-core-construction-java org.apache.beam:beam-model-job-management org.apache.beam:beam-sdks-java-io-kafka	Deprecated as of February 11, 2020. Known issues: SDK 2.10.0 depends on gcsio client library version 1.9.13, which has known issues: Reading side inputs can result in sending a large number of requests to Cloud Storage. As a result, Dataflow jobs can fail with HTTP 429 errors from Cloud Storage. Apache Beam ParquetIO fails when reading files from Cloud Storage. To work around these issues, either upgrade to SDK 2.11.0, or override the gcsio client library version to 1.9.16 or later. The Dataflow runner has an incorrect logging configuration that might cause all logs to be missing. To work around this issue, add slf4j-jdk14 to your runtime dependencies.
2.9.0	Deprecated	org.apache.beam:beam-sdks-java-core org.apache.beam:beam-sdks-java-io-google-cloud-platform org.apache.beam:beam-sdks-java-extensions-google-cloud-platform-core org.apache.beam:beam-sdks-java-extensions-protobuf org.apache.beam:beam-runners-direct-java org.apache.beam:beam-runners-google-cloud-dataflow-java org.apache.beam:beam-model-pipeline org.apache.beam:beam-runners-core-construction-java org.apache.beam:beam-model-job-management org.apache.beam:beam-sdks-java-io-kafka	Deprecated as of December 13, 2019. Known issues: Users enabling the Streaming Engine (Beta) experiment should not upgrade to SDK 2.9.0 due to a known issue. If you choose to use SDK 2.9.0, you must also set the enable_conscrypt_security_provider experimental flag to enable Conscrypt, which has known stability issues. In a specific case, users of Apache Beam Java SDKs 2.9.0 and earlier might experience data duplication when reading files from Cloud Storage. Duplication might occur when all of the following conditions are true: You are reading files with the content-encoding set to gzip, and the files are dynamically decompressive transcoded by Cloud Storage. The file size (decompressed) is larger than 2.14 GB. The input stream runs into an error (and is recreated) after 2.14 GB is read. As a workaround, do not set the content-encoding header, and store compressed files in Cloud Storage with the proper extension (for example, gz for gzip). For existing files, you can update the content-encoding header and file name with the gsutil tool.
2.8.0	Deprecated	org.apache.beam:beam-sdks-java-core org.apache.beam:beam-sdks-java-io-google-cloud-platform org.apache.beam:beam-sdks-java-extensions-google-cloud-platform-core org.apache.beam:beam-sdks-java-extensions-protobuf org.apache.beam:beam-runners-direct-java org.apache.beam:beam-runners-google-cloud-dataflow-java org.apache.beam:beam-model-pipeline org.apache.beam:beam-runners-core-construction-java org.apache.beam:beam-model-job-management org.apache.beam:beam-sdks-java-io-kafka	Deprecated as of October 25, 2019. Known issues: Pipelines might become stuck due to an issue with the Conscrypt library. If you see errors in Stackdriver logging with stack traces that include Conscrypt related calls, you might be affected by this issue. To resolve the issue, upgrade to SDK 2.9.0 or higher. In a specific case, users of Apache Beam Java SDKs 2.9.0 and earlier might experience data duplication when reading files from Cloud Storage. Duplication might occur when all of the following conditions are true: You are reading files with the content-encoding set to gzip, and the files are dynamically decompressive transcoded by Cloud Storage. The file size (decompressed) is larger than 2.14 GB. The input stream runs into an error (and is recreated) after 2.14 GB is read. As a workaround, do not set the content-encoding header, and store compressed files in Cloud Storage with the proper extension (for example, gz for gzip). For existing files, you can update the content-encoding header and file name with the gsutil tool.
2.7.0	Deprecated	org.apache.beam:beam-sdks-java-core org.apache.beam:beam-sdks-java-io-google-cloud-platform org.apache.beam:beam-sdks-java-extensions-google-cloud-platform-core org.apache.beam:beam-sdks-java-extensions-protobuf org.apache.beam:beam-runners-direct-java org.apache.beam:beam-runners-google-cloud-dataflow-java org.apache.beam:beam-model-pipeline org.apache.beam:beam-runners-core-construction-java org.apache.beam:beam-model-job-management org.apache.beam:beam-sdks-java-io-kafka	Deprecated as of October 3, 2019. Known issues: Pipelines might become stuck due to an issue with the Conscrypt library. If you see errors in Stackdriver logging with stack traces that include Conscrypt related calls, you might be affected by this issue. To resolve the issue, upgrade to SDK 2.9.0 or higher. In a specific case, users of Apache Beam Java SDKs 2.9.0 and earlier might experience data duplication when reading files from Cloud Storage. Duplication might occur when all of the following conditions are true: You are reading files with the content-encoding set to gzip, and the files are dynamically decompressive transcoded by Cloud Storage. The file size (decompressed) is larger than 2.14 GB. The input stream runs into an error (and is recreated) after 2.14 GB is read. As a workaround, do not set the content-encoding header, and store compressed files in Cloud Storage with the proper extension (for example, gz for gzip). For existing files, you can update the content-encoding header and file name with the gsutil tool.
2.6.0	Deprecated	org.apache.beam:beam-sdks-java-core org.apache.beam:beam-sdks-java-io-google-cloud-platform org.apache.beam:beam-sdks-java-extensions-google-cloud-platform-core org.apache.beam:beam-sdks-java-extensions-protobuf org.apache.beam:beam-runners-direct-java org.apache.beam:beam-runners-google-cloud-dataflow-java org.apache.beam:beam-model-pipeline org.apache.beam:beam-runners-core-construction-java org.apache.beam:beam-model-job-management org.apache.beam:beam-sdks-java-io-kafka	Deprecated as of August 8, 2019. Known issues: Pipelines might become stuck due to an issue with the Conscrypt library. If you see errors in Stackdriver logging with stack traces that include Conscrypt related calls, you might be affected by this issue. To resolve the issue, upgrade to SDK 2.9.0 or higher. In a specific case, users of Apache Beam Java SDKs 2.9.0 and earlier might experience data duplication when reading files from Cloud Storage. Duplication might occur when all of the following conditions are true: You are reading files with the content-encoding set to gzip, and the files are dynamically decompressive transcoded by Cloud Storage. The file size (decompressed) is larger than 2.14 GB. The input stream runs into an error (and is recreated) after 2.14 GB is read. As a workaround, do not set the content-encoding header, and store compressed files in Cloud Storage with the proper extension (for example, gz for gzip). For existing files, you can update the content-encoding header and file name with the gsutil tool.
2.5.0	Deprecated	org.apache.beam:beam-sdks-java-core org.apache.beam:beam-sdks-java-io-google-cloud-platform org.apache.beam:beam-sdks-java-extensions-google-cloud-platform-core org.apache.beam:beam-sdks-java-extensions-protobuf org.apache.beam:beam-runners-direct-java org.apache.beam:beam-runners-google-cloud-dataflow-java org.apache.beam:beam-model-pipeline org.apache.beam:beam-runners-core-construction-java org.apache.beam:beam-model-job-management org.apache.beam:beam-sdks-java-io-kafka	Deprecated as of June 6, 2019. Known issues: Pipelines might become stuck due to an issue with the Conscrypt library. If you see errors in Stackdriver logging with stack traces that include Conscrypt related calls, you might be affected by this issue. To resolve the issue, upgrade to SDK 2.9.0 or higher. In a specific case, users of Apache Beam Java SDKs 2.9.0 and earlier might experience data duplication when reading files from Cloud Storage. Duplication might occur when all of the following conditions are true: You are reading files with the content-encoding set to gzip, and the files are dynamically decompressive transcoded by Cloud Storage. The file size (decompressed) is larger than 2.14 GB. The input stream runs into an error (and is recreated) after 2.14 GB is read. As a workaround, do not set the content-encoding header, and store compressed files in Cloud Storage with the proper extension (for example, gz for gzip). For existing files, you can update the content-encoding header and file name with the gsutil tool.
2.4.0	Deprecated	org.apache.beam:beam-sdks-java-core org.apache.beam:beam-sdks-java-io-google-cloud-platform org.apache.beam:beam-sdks-java-extensions-google-cloud-platform-core org.apache.beam:beam-sdks-java-extensions-protobuf org.apache.beam:beam-runners-direct-java org.apache.beam:beam-runners-google-cloud-dataflow-java org.apache.beam:beam-model-pipeline org.apache.beam:beam-runners-core-construction-java org.apache.beam:beam-model-job-management	Deprecated as of March 20, 2019. This version will be decommissioned by August 12, 2020 due to the discontinuation of support for JSON-RPC and Global HTTP Batch Endpoints. Known issue: In a specific case, users of Apache Beam Java SDKs 2.9.0 and earlier might experience data duplication when reading files from Cloud Storage. Duplication might occur when all of the following conditions are true: You are reading files with the content-encoding set to gzip, and the files are dynamically decompressive transcoded by Cloud Storage. The file size (decompressed) is larger than 2.14 GB. The input stream runs into an error (and is recreated) after 2.14 GB is read. As a workaround, do not set the content-encoding header, and store compressed files in Cloud Storage with the proper extension (for example, gz for gzip). For existing files, you can update the content-encoding header and file name with the gsutil tool.
2.3.0	Deprecated	org.apache.beam:beam-sdks-java-core org.apache.beam:beam-sdks-java-io-google-cloud-platform org.apache.beam:beam-sdks-java-extensions-google-cloud-platform-core org.apache.beam:beam-sdks-java-extensions-protobuf org.apache.beam:beam-runners-direct-java org.apache.beam:beam-runners-google-cloud-dataflow-java org.apache.beam:beam-model-pipeline org.apache.beam:beam-runners-core-construction-java org.apache.beam:beam-model-job-management	Deprecated as of January 30, 2019. This version will be decommissioned by August 12, 2020 due to the discontinuation of support for JSON-RPC and Global HTTP Batch Endpoints. Known issue: In a specific case, users of Apache Beam Java SDKs 2.9.0 and earlier might experience data duplication when reading files from Cloud Storage. Duplication might occur when all of the following conditions are true: You are reading files with the content-encoding set to gzip, and the files are dynamically decompressive transcoded by Cloud Storage. The file size (decompressed) is larger than 2.14 GB. The input stream runs into an error (and is recreated) after 2.14 GB is read. As a workaround, do not set the content-encoding header, and store compressed files in Cloud Storage with the proper extension (for example, gz for gzip). For existing files, you can update the content-encoding header and file name with the gsutil tool.
2.2.0	Deprecated	org.apache.beam:beam-sdks-java-core org.apache.beam:beam-sdks-java-io-google-cloud-platform org.apache.beam:beam-sdks-java-extensions-google-cloud-platform-core org.apache.beam:beam-sdks-java-extensions-protobuf org.apache.beam:beam-runners-direct-java org.apache.beam:beam-runners-google-cloud-dataflow-java org.apache.beam:beam-model-pipeline org.apache.beam:beam-runners-core-construction-java org.apache.beam:beam-model-job-management	Deprecated as of December 2, 2018. This version will be decommissioned by August 12, 2020 due to the discontinuation of support for JSON-RPC and Global HTTP Batch Endpoints. Known issue: In a specific case, users of Apache Beam Java SDKs 2.9.0 and earlier might experience data duplication when reading files from Cloud Storage. Duplication might occur when all of the following conditions are true: You are reading files with the content-encoding set to gzip, and the files are dynamically decompressive transcoded by Cloud Storage. The file size (decompressed) is larger than 2.14 GB. The input stream runs into an error (and is recreated) after 2.14 GB is read. As a workaround, do not set the content-encoding header, and store compressed files in Cloud Storage with the proper extension (for example, gz for gzip). For existing files, you can update the content-encoding header and file name with the gsutil tool.
2.1.0	Deprecated	org.apache.beam:beam-sdks-java-core org.apache.beam:beam-sdks-java-io-google-cloud-platform org.apache.beam:beam-sdks-java-extensions-google-cloud-platform-core org.apache.beam:beam-sdks-java-extensions-protobuf org.apache.beam:beam-runners-direct-java org.apache.beam:beam-runners-google-cloud-dataflow-java org.apache.beam:beam-model-pipeline org.apache.beam:beam-runners-core-construction-java org.apache.beam:beam-model-job-management	Deprecated as of August 23, 2018. This version will be decommissioned by August 12, 2020 due to the discontinuation of support for JSON-RPC and Global HTTP Batch Endpoints. Known issue: In a specific case, users of Apache Beam Java SDKs 2.9.0 and earlier might experience data duplication when reading files from Cloud Storage. Duplication might occur when all of the following conditions are true: You are reading files with the content-encoding set to gzip, and the files are dynamically decompressive transcoded by Cloud Storage. The file size (decompressed) is larger than 2.14 GB. The input stream runs into an error (and is recreated) after 2.14 GB is read. As a workaround, do not set the content-encoding header, and store compressed files in Cloud Storage with the proper extension (for example, gz for gzip). For existing files, you can update the content-encoding header and file name with the gsutil tool.
2.0.0	Deprecated	org.apache.beam:beam-sdks-java-core org.apache.beam:beam-sdks-java-io-google-cloud-platform org.apache.beam:beam-sdks-java-extensions-google-cloud-platform-core org.apache.beam:beam-sdks-java-extensions-protobuf org.apache.beam:beam-runners-direct-java org.apache.beam:beam-runners-google-cloud-dataflow-java org.apache.beam:beam-model-pipeline org.apache.beam:beam-runners-core-construction-java org.apache.beam:beam-model-job-management	Deprecated as of May 17, 2018. This version will be decommissioned by August 12, 2020 due to the discontinuation of support for JSON-RPC and Global HTTP Batch Endpoints. Known issue: In a specific case, users of Apache Beam Java SDKs 2.9.0 and earlier might experience data duplication when reading files from Cloud Storage. Duplication might occur when all of the following conditions are true: You are reading files with the content-encoding set to gzip, and the files are dynamically decompressive transcoded by Cloud Storage. The file size (decompressed) is larger than 2.14 GB. The input stream runs into an error (and is recreated) after 2.14 GB is read. As a workaround, do not set the content-encoding header, and store compressed files in Cloud Storage with the proper extension (for example, gz for gzip). For existing files, you can update the content-encoding header and file name with the gsutil tool.

Python

SDK version(s)	Status	Supported components	Details
2.25.0	Supported	Core Python SDK library under module apache_beam: sub-modules coders, dataframe, metrics, options, portability, runners.dataflow, runners.direct, transforms, typehints File-based sources and sinks and related modules under module apache_beam.io: textio, avroio, parquetio, tfrecordio, gcsfilesystem, localfilesystem Google Cloud I/O connectors under module apache_beam.io.gcp: bigquery, datastore, pubsub	This version will be deprecated on October 23, 2021. Dataflow no longer supports pipelines using Python 2. Read more information on the Python 2 support on Google Cloud page.
2.24.0	Supported	Core Python SDK library under module apache_beam: sub-modules coders, dataframe, metrics, options, portability, runners.dataflow, runners.direct, transforms, typehints File-based sources and sinks and related modules under module apache_beam.io: textio, avroio, parquetio, tfrecordio, gcsfilesystem, localfilesystem Google Cloud I/O connectors under module apache_beam.io.gcp: bigquery, datastore, pubsub	This version will be deprecated on September 18, 2021. Also, this is the last Apache Beam SDK version to support Python 2 and Python 3.5. Dataflow no longer supports pipelines using Python 2. Read more information on the Python 2 support on Google Cloud page.
2.23.0	Supported	Core Python SDK library under module apache_beam: sub-modules coders, dataframe, metrics, options, portability, runners.dataflow, runners.direct, transforms, typehints File-based sources and sinks and related modules under module apache_beam.io: textio, avroio, parquetio, tfrecordio, gcsfilesystem, localfilesystem Google Cloud I/O connectors under module apache_beam.io.gcp: bigquery, datastore, pubsub	This version will be deprecated on July 29, 2021. Dataflow no longer supports pipelines using Python 2. Read more information on the Python 2 support on Google Cloud page.
2.22.0	Supported	Core Python SDK library under module apache_beam: sub-modules coders, dataframe, metrics, options, portability, runners.dataflow, runners.direct, transforms, typehints File-based sources and sinks and related modules under module apache_beam.io: textio, avroio, parquetio, tfrecordio, gcsfilesystem, localfilesystem Google Cloud I/O connectors under module apache_beam.io.gcp: bigquery, datastore, pubsub	This version will be deprecated on June 8, 2021. Dataflow no longer supports pipelines using Python 2. Read more information on the Python 2 support on Google Cloud page.
2.21.0	Supported	Core Python SDK library under module apache_beam: sub-modules coders, dataframe, metrics, options, portability, runners.dataflow, runners.direct, transforms, typehints File-based sources and sinks and related modules under module apache_beam.io: textio, avroio, parquetio, tfrecordio, gcsfilesystem, localfilesystem Google Cloud I/O connectors under module apache_beam.io.gcp	This version will be deprecated on May 27, 2021. Dataflow no longer supports pipelines using Python 2. Read more information on the Python 2 support on Google Cloud page.
2.20.0	Supported	Core Python SDK library under module apache_beam: sub-modules coders, dataframe, metrics, options, portability, runners.dataflow, runners.direct, transforms, typehints File-based sources and sinks and related modules under module apache_beam.io: textio, avroio, parquetio, tfrecordio, gcsfilesystem, localfilesystem Google Cloud I/O connectors under module apache_beam.io.gcp	This version will be deprecated on April 15, 2021. Dataflow no longer supports pipelines using Python 2. Read more information on the Python 2 support on Google Cloud page.
2.19.0	Supported	Core Python SDK library under module apache_beam: sub-modules coders, dataframe, metrics, options, portability, runners.dataflow, runners.direct, transforms, typehints File-based sources and sinks and related modules under module apache_beam.io: textio, avroio, parquetio, tfrecordio, gcsfilesystem, localfilesystem Google Cloud I/O connectors under module apache_beam.io.gcp	This version will be deprecated on February 4, 2021. Dataflow no longer supports pipelines using Python 2. Read more information on the Python 2 support on Google Cloud page.
2.18.0	Supported	Core Python SDK library under module apache_beam: sub-modules coders, dataframe, metrics, options, portability, runners.dataflow, runners.direct, transforms, typehints File-based sources and sinks and related modules under module apache_beam.io: textio, avroio, parquetio, tfrecordio, gcsfilesystem, localfilesystem Google Cloud I/O connectors under module apache_beam.io.gcp	This version will be deprecated on January 23, 2021. Dataflow no longer supports pipelines using Python 2. Read more information on the Python 2 support on Google Cloud page.
2.17.0	Supported	Core Python SDK library under module apache_beam: sub-modules coders, dataframe, metrics, options, portability, runners.dataflow, runners.direct, transforms, typehints File-based sources and sinks and related modules under module apache_beam.io: textio, avroio, parquetio, tfrecordio, gcsfilesystem, localfilesystem Google Cloud I/O connectors under module apache_beam.io.gcp	This version will be deprecated on January 6, 2021. Dataflow no longer supports pipelines using Python 2. Read more information on the Python 2 support on Google Cloud page.
2.16.0	Deprecated	Core Python SDK library under module apache_beam: sub-modules coders, dataframe, metrics, options, portability, runners.dataflow, runners.direct, transforms, typehints File-based sources and sinks and related modules under module apache_beam.io: textio, avroio, parquetio, tfrecordio, gcsfilesystem, localfilesystem Google Cloud I/O connectors under module apache_beam.io.gcp	Deprecated on October 7, 2020.
2.15.0	Deprecated	Core Python SDK library under module apache_beam: sub-modules coders, dataframe, metrics, options, portability, runners.dataflow, runners.direct, transforms, typehints File-based sources and sinks and related modules under module apache_beam.io: textio, avroio, parquetio, tfrecordio, gcsfilesystem, localfilesystem Google Cloud I/O connectors under module apache_beam.io.gcp	Deprecated on August 23, 2020.
2.14.0	Deprecated	Core Python SDK library under module apache_beam: sub-modules coders, dataframe, metrics, options, portability, runners.dataflow, runners.direct, transforms, typehints File-based sources and sinks and related modules under module apache_beam.io: textio, avroio, parquetio, tfrecordio, gcsfilesystem, localfilesystem Google Cloud I/O connectors under module apache_beam.io.gcp	Deprecated on August 1, 2020. Known issues: The MongoDB source added in this release has a known issue that can result in data loss. See BEAM-7866 for details.
2.13.0	Deprecated	Core Python SDK library under module apache_beam: sub-modules coders, dataframe, metrics, options, portability, runners.dataflow, runners.direct, transforms, typehints File-based sources and sinks and related modules under module apache_beam.io: textio, avroio, parquetio, tfrecordio, gcsfilesystem, localfilesystem Google Cloud I/O connectors under module apache_beam.io.gcp	Deprecated as of June 6, 2020.
2.12.0	Deprecated	Core Python SDK library under module apache_beam: sub-modules coders, dataframe, metrics, options, portability, runners.dataflow, runners.direct, transforms, typehints File-based sources and sinks and related modules under module apache_beam.io: textio, avroio, parquetio, tfrecordio, gcsfilesystem, localfilesystem Google Cloud I/O connectors under module apache_beam.io.gcp	Deprecated as of April 25, 2020.
2.11.0	Deprecated	Core Python SDK library under module apache_beam: sub-modules coders, dataframe, metrics, options, portability, runners.dataflow, runners.direct, transforms, typehints File-based sources and sinks and related modules under module apache_beam.io: textio, avroio, parquetio, tfrecordio, gcsfilesystem, localfilesystem Google Cloud I/O connectors under module apache_beam.io.gcp	Deprecated as of March 1, 2020.
2.10.0	Deprecated		Deprecated as of February 11, 2020.
2.9.0	Deprecated		Deprecated as of December 13, 2019.
2.8.0	Deprecated		Deprecated as of October 25, 2019.
2.7.0	Deprecated		Deprecated as of October 3, 2019.
2.6.0	Deprecated		Deprecated as of August 8, 2019.
2.5.0	Deprecated		Deprecated as of June 6, 2019.
2.4.0	Deprecated		Deprecated as of March 20, 2019. This version will be decommissioned by August 12, 2020 due to the discontinuation of support for JSON-RPC and Global HTTP Batch Endpoints.
2.3.0	Deprecated		Deprecated as of January 30, 2019. This version will be decommissioned by August 12, 2020 due to the discontinuation of support for JSON-RPC and Global HTTP Batch Endpoints.
2.2.0	Deprecated		Deprecated as of December 2, 2018. This version will be decommissioned by August 12, 2020 due to the discontinuation of support for JSON-RPC and Global HTTP Batch Endpoints.
2.1.1 2.1.0	Deprecated		Deprecated as of August 23, 2018. This version will be decommissioned by August 12, 2020 due to the discontinuation of support for JSON-RPC and Global HTTP Batch Endpoints.
2.0.0	Deprecated		Deprecated as of May 17, 2018. This version will be decommissioned by August 12, 2020 due to the discontinuation of support for JSON-RPC and Global HTTP Batch Endpoints.

Dataflow 2.x SDKs

SDK Decommission Notice: The following SDK versions will be decommissioned by August 12, 2020 due to the discontinuation of support for JSON-RPC and Global HTTP Batch Endpoints.

• Apache Beam SDK for Java, versions 2.0.0 to 2.4.0 (inclusive)
• Apache Beam SDK for Python, versions 2.0.0 to 2.4.0 (inclusive)
• Dataflow SDK for Java, versions 2.0.0 to 2.4.0 (inclusive)
• Dataflow SDK for Python, 2.0.0 to 2.4.0 (inclusive)

You are encouraged to update to the latest Apache Beam SDK version. However, you can continue to use unsupported SDKs temporarily while you upgrade your pipelines. For more information, see Using an unsupported SDK.

Dataflow SDK Deprecation Notice: The Dataflow SDK 2.5.0 is the last Dataflow SDK release that is separate from the Apache Beam SDK releases. The Dataflow service supports official Apache Beam SDK releases as documented in the SDK version support status page.

Note: Development SDK versions (marked as -SNAPSHOT for Java and .dev for Python) are unsupported.

The following tables contains the support status for the Dataflow 2.x SDKs:

Java

See the Dataflow SDK 2.x for Java release notes for change information.

SDK version(s)	Status	Details
2.5.0	Deprecated	Deprecated as of June 6, 2019. Known issue: In a specific case, users of Dataflow Java SDKs 2.5.0 and earlier might experience data duplication when reading files from Cloud Storage. Duplication might occur when all of the following conditions are true: You are reading files with the content-encoding set to gzip, and the files are dynamically decompressive transcoded by Cloud Storage. The file size (decompressed) is larger than 2.14 GB. The input stream runs into an error (and is recreated) after 2.14 GB is read. As a workaround, do not set the content-encoding header, and store compressed files in Cloud Storage with the proper extension (for example, gz for gzip). For existing files, you can update the content-encoding header and file name with the gsutil tool.
2.4.0	Deprecated	Deprecated as of March 20, 2019. This version will be decommissioned by August 12, 2020 due to the discontinuation of support for JSON-RPC and Global HTTP Batch Endpoints. Known issue: In a specific case, users of Dataflow Java SDKs 2.5.0 and earlier might experience data duplication when reading files from Cloud Storage. Duplication might occur when all of the following conditions are true: You are reading files with the content-encoding set to gzip, and the files are dynamically decompressive transcoded by Cloud Storage. The file size (decompressed) is larger than 2.14 GB. The input stream runs into an error (and is recreated) after 2.14 GB is read. As a workaround, do not set the content-encoding header, and store compressed files in Cloud Storage with the proper extension (for example, gz for gzip). For existing files, you can update the content-encoding header and file name with the gsutil tool.
2.3.0	Deprecated	Deprecated as of January 30, 2019. This version will be decommissioned by August 12, 2020 due to the discontinuation of support for JSON-RPC and Global HTTP Batch Endpoints. Known issue: In a specific case, users of Dataflow Java SDKs 2.5.0 and earlier might experience data duplication when reading files from Cloud Storage. Duplication might occur when all of the following conditions are true: You are reading files with the content-encoding set to gzip, and the files are dynamically decompressive transcoded by Cloud Storage. The file size (decompressed) is larger than 2.14 GB. The input stream runs into an error (and is recreated) after 2.14 GB is read. As a workaround, do not set the content-encoding header, and store compressed files in Cloud Storage with the proper extension (for example, gz for gzip). For existing files, you can update the content-encoding header and file name with the gsutil tool.
2.2.0	Deprecated	Deprecated as of December 2, 2018. This version will be decommissioned by August 12, 2020 due to the discontinuation of support for JSON-RPC and Global HTTP Batch Endpoints. Known issue: In a specific case, users of Dataflow Java SDKs 2.5.0 and earlier might experience data duplication when reading files from Cloud Storage. Duplication might occur when all of the following conditions are true: You are reading files with the content-encoding set to gzip, and the files are dynamically decompressive transcoded by Cloud Storage. The file size (decompressed) is larger than 2.14 GB. The input stream runs into an error (and is recreated) after 2.14 GB is read. As a workaround, do not set the content-encoding header, and store compressed files in Cloud Storage with the proper extension (for example, gz for gzip). For existing files, you can update the content-encoding header and file name with the gsutil tool.
2.1.0	Deprecated	Deprecated as of August 23, 2018. This version will be decommissioned by August 12, 2020 due to the discontinuation of support for JSON-RPC and Global HTTP Batch Endpoints. Known issue: In a specific case, users of Dataflow Java SDKs 2.5.0 and earlier might experience data duplication when reading files from Cloud Storage. Duplication might occur when all of the following conditions are true: You are reading files with the content-encoding set to gzip, and the files are dynamically decompressive transcoded by Cloud Storage. The file size (decompressed) is larger than 2.14 GB. The input stream runs into an error (and is recreated) after 2.14 GB is read. As a workaround, do not set the content-encoding header, and store compressed files in Cloud Storage with the proper extension (for example, gz for gzip). For existing files, you can update the content-encoding header and file name with the gsutil tool.
2.0.0	Deprecated	Deprecated as of May 17, 2018. This version will be decommissioned by August 12, 2020 due to the discontinuation of support for JSON-RPC and Global HTTP Batch Endpoints. Known issue: In a specific case, users of Dataflow Java SDKs 2.5.0 and earlier might experience data duplication when reading files from Cloud Storage. Duplication might occur when all of the following conditions are true: You are reading files with the content-encoding set to gzip, and the files are dynamically decompressive transcoded by Cloud Storage. The file size (decompressed) is larger than 2.14 GB. The input stream runs into an error (and is recreated) after 2.14 GB is read. As a workaround, do not set the content-encoding header, and store compressed files in Cloud Storage with the proper extension (for example, gz for gzip). For existing files, you can update the content-encoding header and file name with the gsutil tool.
2.0.0-beta3 2.0.0-beta2 2.0.0-beta1	Decommissioned	Decommissioned as of February 28, 2018. Known issue: In a specific case, users of Dataflow Java SDKs 2.5.0 and earlier might experience data duplication when reading files from Cloud Storage. Duplication might occur when all of the following conditions are true: You are reading files with the content-encoding set to gzip, and the files are dynamically decompressive transcoded by Cloud Storage. The file size (decompressed) is larger than 2.14 GB. The input stream runs into an error (and is recreated) after 2.14 GB is read. As a workaround, do not set the content-encoding header, and store compressed files in Cloud Storage with the proper extension (for example, gz for gzip). For existing files, you can update the content-encoding header and file name with the gsutil tool.

Python

See the Dataflow SDK 2.x for Python release notes for change information.

SDK version(s)	Status	Details
2.5.0	Deprecated	Deprecated as of June 6, 2019.
2.4.0	Deprecated	Deprecated as of March 20, 2019. This version will be decommissioned by August 12, 2020 due to the discontinuation of support for JSON-RPC and Global HTTP Batch Endpoints.
2.3.0	Deprecated	Deprecated as of January 30, 2019. This version will be decommissioned by August 12, 2020 due to the discontinuation of support for JSON-RPC and Global HTTP Batch Endpoints.
2.2.0	Deprecated	Deprecated as of December 2, 2018. This version will be decommissioned by August 12, 2020 due to the discontinuation of support for JSON-RPC and Global HTTP Batch Endpoints.
2.1.1	Deprecated	Deprecated as of August 23, 2018. This version will be decommissioned by August 12, 2020 due to the discontinuation of support for JSON-RPC and Global HTTP Batch Endpoints. Fixes a compatibility issue with the Python six package. See the release notes for more information.
2.1.0	Deprecated	Deprecated as of August 23, 2018. This version will be decommissioned by August 12, 2020 due to the discontinuation of support for JSON-RPC and Global HTTP Batch Endpoints. This release has a compatibility issue with the Python six 1.11.0 package. See the Release Notes for more information.
2.0.0	Deprecated	Deprecated as of May 17, 2018. This version will be decommissioned by August 12, 2020 due to the discontinuation of support for JSON-RPC and Global HTTP Batch Endpoints. This release has a compatibility issue with the Python six 1.11.0 package. See the Release Notes for more information.
0.6.0 0.5.5 0.5.1 0.4.4 0.4.3 0.4.2 0.4.1 0.4.0	Decommissioned	Decommissioned as of January 29, 2018.
0.2.7 and earlier versions	Decommissioned	Decommissioned as of March 23, 2017.

Dataflow 1.x SDKs

Warning: Dataflow SDK 1.x for Java is unsupported as of October 16, 2018. After August 12, 2020, you can use unsupported SDKs temporarily while you upgrade your pipelines. For more information, see Using an unsupported SDK.

For information on migrating from the 1.x SDK, see Migrating from Dataflow SDK 1.x for Java.

The following table contains the support status for the Dataflow 1.x SDKs for Java. See the Dataflow SDK 1.x for Java release notes for change information.

SDK version(s)	Status	Details
1.9.1 1.9.0	Unsupported	Unsupported as of October 16, 2018.
1.8.1 1.8.0	Unsupported	Unsupported as of April 9, 2018.
1.7.0	Unsupported	Unsupported as of March 12, 2018.
1.6.1 1.6.0	Unsupported	Unsupported as of January 22, 2018.
1.5.1 1.5.0 1.4.0 1.3.0	Unsupported	Unsupported as of October 1, 2017.
1.2.1 1.2.0 1.1.0 1.0.0	Unsupported	Unsupported as of February 26, 2017.
Pre-1.0.0 (including 0.4.* and 0.3.*)	Unsupported