Google Git
Sign in
apache / iceberg / refs/tags/apache-iceberg-0.9.1
commite7c59ec83bba9b2d934ef124d36eabfcdd33f319[log] [tgz]
authorRyan Blue <blue@apache.org>Tue Aug 11 10:00:50 2020 -0700
committerRyan Blue <blue@apache.org>Tue Aug 11 10:00:50 2020 -0700
tree4269ba66388ff49b879dca6520fc9bc4e9791bdb
parent768dc08a2ce558ea309215fa1c864ec0c48a4e72 [diff]
Add version.txt for release 0.9.1
1 file changed
tree: 4269ba66388ff49b879dca6520fc9bc4e9791bdb
  1. .baseline/
  2. api/
  3. arrow/
  4. bundled-guava/
  5. common/
  6. core/
  7. data/
  8. dev/
  9. examples/
  10. flink/
  11. gradle/
  12. hive/
  13. mr/
  14. orc/
  15. parquet/
  16. pig/
  17. python/
  18. site/
  19. spark/
  20. spark-runtime/
  21. spark2/
  22. spark3/
  23. spark3-runtime/
  24. .asf.yaml
  25. .gitignore
  26. .travis.yml
  27. baseline.gradle
  28. build.gradle
  29. deploy.gradle
  30. gradle.properties
  31. gradlew
  32. jitpack.yml
  33. jmh.gradle
  34. LICENSE
  35. NOTICE
  36. README.md
  37. settings.gradle
  38. tasks.gradle
  39. version.txt
  40. versions.lock
  41. versions.props
README.md

Slack

Apache Iceberg is a new table format for storing large, slow-moving tabular data. It is designed to improve on the de-facto standard table layout built into Hive, Presto, and Spark.

Background and documentation is available at https://iceberg.apache.org

Status

Iceberg is under active development at the Apache Software Foundation.

The core Java library that tracks table snapshots and metadata is complete, but still evolving. Current work is focused on adding row-level deletes and upserts, and integration work with new engines like Flink and Hive.

The Iceberg format specification is being actively updated and is open for comment. Until the specification is complete and released, it carries no compatibility guarantees. The spec is currently evolving as the Java reference implementation changes.

Java API javadocs are available for the master.

Collaboration

Iceberg tracks issues in GitHub and prefers to receive contributions as pull requests.

Community discussions happen primarily on the dev mailing list or on specific issues.

Building

Iceberg is built using Gradle 5.4.1 with Java 1.8 or Java 11.

  • To invoke a build and run tests: ./gradlew build
  • To skip tests: ./gradlew build -x test

Iceberg table support is organized in library modules:

  • iceberg-common contains utility classes used in other modules
  • iceberg-api contains the public Iceberg API
  • iceberg-core contains implementations of the Iceberg API and support for Avro data files, this is what processing engines should depend on
  • iceberg-parquet is an optional module for working with tables backed by Parquet files
  • iceberg-arrow is an optional module for reading Parquet into Arrow memory
  • iceberg-orc is an optional module for working with tables backed by ORC files
  • iceberg-hive is an implementation of iceberg tables backed by hive metastore thrift client
  • iceberg-data is an optional module for working with tables directly from JVM applications

This project Iceberg also has modules for adding Iceberg support to processing engines:

  • iceberg-spark2 is an implementation of Spark's Datasource V2 API in 2.4 for Iceberg (use iceberg-spark-runtime for a shaded version)
  • iceberg-spark3 is an implementation of Spark's Datasource V2 API in 3.0 for Iceberg (use iceberg-spark3-runtime for a shaded version)
  • iceberg-flink contains classes for integrating with Apache Flink
  • iceberg-mr contains an InputFormat and other classes for integrating with Apache Hive
  • iceberg-pig is an implementation of Pig's LoadFunc API for Iceberg

Compatibility

Iceberg's Spark integration is compatible with Spark 2.4 and Spark 3.0 using the modules in the following table:

Iceberg versionSpark 2.4.xSpark 3.0.x
master branchspark-runtimespark3-runtime
0.9.0spark-runtimespark3-runtime
0.8.0spark-runtime