SDK Version Support Status

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

Apache Beam 2.x SDKs

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 Cloud Dataflow customers, but we cannot create hotfixes or official releases of Apache Beam on demand.

However, the Apache Beam community designates specific releases as long term support (LTS) releases. LTS releases receive patches to fix major issues for a designated period of time. See the Apache Beam policies page for more details about release policies.

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

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

See the Apache Beam release notes for change information.

SDK version(s) Status Supported components Details
2.11.0 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 March 1, 2020.

2.10.0 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 11, 2020.

Known issues:
  • SDK 2.10.0 depends on gcsio client library version 1.9.13, which has known issues:

    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.

2.9.0 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 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 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 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 LTS 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

Apache Beam SDK 2.7.0 is a long term support (LTS) release and will receive patches until May 16, 2019.

This version will be deprecated on 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 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 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 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 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 later in 2019 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 later in 2019 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 later in 2019 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 later in 2019 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 later in 2019 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 Details
2.11.0 Supported This version will be deprecated on March 1, 2020.
2.10.0 Supported This version will be deprecated on February 11, 2020.
2.9.0 Supported This version will be deprecated on December 13, 2019.
2.8.0 Supported This version will be deprecated on October 25, 2019.
2.7.0 LTS Supported

2.7.0 is a long term support (LTS) release and will receive patches until May 16, 2019.

This version will be deprecated on October 3, 2019.

2.6.0 Supported This version will be deprecated on August 8, 2019.
2.5.0 Supported This version will be deprecated on June 6, 2019.
2.4.0 Deprecated Deprecated as of March 20, 2019. This version will be decommissioned later in 2019 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 later in 2019 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 later in 2019 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 later in 2019 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 later in 2019 due to the discontinuation of support for JSON-RPC and Global HTTP Batch Endpoints.

Cloud Dataflow 2.x SDKs

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

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

Java

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

SDK version(s) Status Details
2.5.0 Supported

This version will be deprecated on June 6, 2019.

Known issue:
  • In a specific case, users of Cloud 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 later in 2019 due to the discontinuation of support for JSON-RPC and Global HTTP Batch Endpoints.

Known issue:
  • In a specific case, users of Cloud 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 later in 2019 due to the discontinuation of support for JSON-RPC and Global HTTP Batch Endpoints.

Known issue:
  • In a specific case, users of Cloud 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 later in 2019 due to the discontinuation of support for JSON-RPC and Global HTTP Batch Endpoints.

Known issue:
  • In a specific case, users of Cloud 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 later in 2019 due to the discontinuation of support for JSON-RPC and Global HTTP Batch Endpoints.

Known issue:
  • In a specific case, users of Cloud 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 later in 2019 due to the discontinuation of support for JSON-RPC and Global HTTP Batch Endpoints.

Known issue:
  • In a specific case, users of Cloud 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 Cloud 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 Cloud Dataflow SDK 2.x for Python release notes for change information.

SDK version(s) Status Details
2.5.0 Supported This version will be deprecated on June 6, 2019.
2.4.0 Deprecated Deprecated as of March 20, 2019.
This version will be decommissioned later in 2019 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 later in 2019 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 later in 2019 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 later in 2019 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 later in 2019 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 later in 2019 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.

Cloud Dataflow 1.x SDKs

The following table contains the support status for the Cloud Dataflow 1.x SDKs for Java. See the Cloud 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
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