Apache Beam Compatibility
Starting from version 0.3.0, Scio moved from Google Cloud Dataflow Java SDK to Apache Beam as its core dependencies and introduced a few breaking changes.
- Dataflow Java SDK 1.x.x uses
com.google.cloud.dataflow.sdknamespace. - Apache Beam uses
org.apache.beam.sdknamespace. - Dataflow Java SDK 2.x.x is also based on Apache Beam 2.x.x and uses
org.apache.beam.sdk.
Scio 0.3.x depends on Beam 0.6.0 (last pre-stable release) and Scio 0.4.x depends on Beam 2.0.0 (first stable release). Breaking changes in these releases are documented below.
Version matrices
Early Scio releases depend on Google Cloud Dataflow Java SDK while later ones depend on Apache Beam. Check out the Changelog page for migration guides.
Also check out the SDK Version Support Status page. Since a Beam release depends on specific version of Dataflow API, a deprecated Beam version is not guaranteed to work correctly or at all. We strongly recommend upgrading before the deprecation date.
| Scio | SDK Dependency | Description |
|---|---|---|
| 0.14.x | Apache Beam 2.x.x | avro removed from scio-core, explicit kryo coder fallback, official tensorflow metadata, hadoop 3 and parquet 1.13 |
| 0.13.x | Apache Beam 2.x.x | scio-elasticsearch6 removed. scio-elasticsearch7 migrated to new client. File based ScioIO param changes. |
| 0.12.x | Apache Beam 2.x.x | com.spotify.scio.extra.bigquery, com.spotify.scio.pubsub removed. scio-elasticsearch6 deprecated. |
| 0.11.x | Apache Beam 2.x.x | scio-sql and case-app removed, com.spotify.scio.extra.bigquery deprecated, shaded Beam Avro coder, tensorflow-core-platform 0.3.3 |
| 0.10.x | Apache Beam 2.x.x | Coder implicits, scio-google-cloud-platform |
| 0.9.x | Apache Beam 2.x.x | Drop Scala 2.11, add Scala 2.13, Guava based Bloom Filter |
| 0.8.x | Apache Beam 2.x.x | Beam SQL, BigQuery storage API, ScioExecutionContext, Async DoFns |
| 0.7.x | Apache Beam 2.x.x | Static coders, new ScioIO |
| 0.6.x | Apache Beam 2.x.x | Cassandra 2.2 |
| 0.5.x | Apache Beam 2.x.x | Better type-safe Avro and BigQuery IO |
| 0.4.x | Apache Beam 2.0.0 | Stable release Beam |
| 0.3.x | Apache Beam 0.6.0 | Pre-release Beam |
| 0.2.x | Dataflow Java SDK | SQL-2011 support |
| 0.1.x | Dataflow Java SDK | First releases |
| Scio Version | Beam Version | Details |
|---|---|---|
| 0.14.9 | 2.60.0 | This version will be deprecated on October 17, 2025. |
| 0.14.8 | 2.59.0 | This version will be deprecated on August 24, 2025. |
| 0.14.7 | 2.58.1 | This version will be deprecated on August 16, 2025. |
| 0.14.6 | 2.57.0 | This version will be deprecated on June 26, 2025. |
| 0.14.5 | 2.56.0 | This version will be deprecated on May 1, 2025. |
| 0.14.4 | 2.55.1 | This version will be deprecated on April 8, 2025. |
| 0.14.3 | 2.54.0 | This version will be deprecated on February 14, 2025. |
| 0.14.2 | 2.54.0 | This version will be deprecated on February 14, 2025. |
| 0.14.1 | 2.54.0 | This version will be deprecated on February 14, 2025. |
| 0.14.0 | 2.53.0 | This version will be deprecated on January 4, 2025. |
| 0.13.6 | 2.52.0 | This version will be deprecated on November 17, 2024. |
| 0.13.5 | 2.51.0 | Deprecated on October 12, 2024. |
| 0.13.4 | 2.51.0 | Deprecated on October 12, 2024. |
| 0.13.3 | 2.50.0 | Deprecated on August 30, 2024. |
| 0.13.2 | 2.49.0 | Deprecated on July 17, 2024. |
| 0.13.1 | 2.49.0 | Deprecated onJuly 17, 2024. |
| 0.13.0 | 2.48.0 | Deprecated on May 31, 2024. |
| 0.12.8 | 2.46.0 | Deprecated on March 10, 2024. |
| 0.12.7 | 2.46.0 | Deprecated on March 10, 2024. |
| 0.12.6 | 2.46.0 | Deprecated on March 10, 2024. |
| 0.12.5 | 2.45.0 | Deprecated on February 15, 2024. |
| 0.12.4 | 2.44.0 | Deprecated on January 13, 2024. |
| 0.12.3 | 2.44.0 | Deprecated on January 13, 2024. |
| 0.12.2 | 2.44.0 | Deprecated on January 13, 2024. |
| 0.12.1 | 2.43.0 | Deprecated on November 17, 2023. |
| 0.12.0 | 2.41.0 | Deprecated on August 23rd, 2023. |
Beam dependencies
Scio’s other library dependencies are kept in sync with Beam’s to avoid compatibility issues. Scio will typically not bump dependency versions beyond what is supported in Beam due to the large test surface and the potential for data loss.
You can find Beam’s dependency list in its Groovy config (substitute the version tag in the URL with the desired Beam version). Additionally, Beam keeps many of its Google dependencies in sync with a central BOM (substitute the version tag in the URL with the value of google_cloud_platform_libraries_bom from Beam). Scio users who suspect incompatibility issues in their pipelines (common issues are GRPC, Netty, or Guava) can run sbt evicted and sbt dependencyTree to ensure their direct and transitive dependencies don’t conflict with Scio or Beam.
Release cycle and backport procedures
Scio has a frequent release cycle, roughly every 2-4 weeks, as compared to months for the upstream Apache Beam. We also aim to stay a step ahead by pulling changes from upstream and contributing new ones back.
Let’s call the Beam version that Scio depends on current, and upstream master latest. Here are the procedures for backporting changes:
For changes available in latest but not in current: - Copy Java files from latest to Scio repo - Rename classes and modify as necessary - Release Scio - Update checklist for the next current version like #633 - Remove change once current is updated
For changes we want to make to latest: - Submit pull request to latest - Follow the steps above once merged