0.6.0
-----BEGIN PGP SIGNATURE-----
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=M90a
-----END PGP SIGNATURE-----
[HUDI-1177]: fixed TaskNotSerializableException in TimestampBasedKeyGenerator (#1987)


Co-authored-by: Bhavani Sudha Saktheeswaran <bhavanisudhas@gmail.com>
3 files changed
tree: 6a13b49c1d7ee792f150d138650ac7ff78a97bbf
  1. .asf.yaml
  2. .codecov.yml
  3. .github/
  4. .gitignore
  5. .travis.yml
  6. LICENSE
  7. NOTICE
  8. README.md
  9. doap_HUDI.rdf
  10. docker/
  11. hudi-cli/
  12. hudi-client/
  13. hudi-common/
  14. hudi-examples/
  15. hudi-hadoop-mr/
  16. hudi-integ-test/
  17. hudi-spark/
  18. hudi-sync/
  19. hudi-timeline-service/
  20. hudi-utilities/
  21. packaging/
  22. pom.xml
  23. scripts/
  24. style/
README.md

Apache Hudi

Apache Hudi (pronounced Hoodie) stands for Hadoop Upserts Deletes and Incrementals. Hudi manages the storage of large analytical datasets on DFS (Cloud stores, HDFS or any Hadoop FileSystem compatible storage).

https://hudi.apache.org/

Build Status License Maven Central Join on Slack

Features

  • Upsert support with fast, pluggable indexing
  • Atomically publish data with rollback support
  • Snapshot isolation between writer & queries
  • Savepoints for data recovery
  • Manages file sizes, layout using statistics
  • Async compaction of row & columnar data
  • Timeline metadata to track lineage

Hudi supports three types of queries:

  • Snapshot Query - Provides snapshot queries on real-time data, using a combination of columnar & row-based storage (e.g Parquet + Avro).
  • Incremental Query - Provides a change stream with records inserted or updated after a point in time.
  • Read Optimized Query - Provides excellent snapshot query performance via purely columnar storage (e.g. Parquet).

Learn more about Hudi at https://hudi.apache.org

Building Apache Hudi from source

Prerequisites for building Apache Hudi:

  • Unix-like system (like Linux, Mac OS X)
  • Java 8 (Java 9 or 10 may work)
  • Git
  • Maven
# Checkout code and build
git clone https://github.com/apache/hudi.git && cd hudi
mvn clean package -DskipTests -DskipITs

# Start command
spark-2.4.4-bin-hadoop2.7/bin/spark-shell \
  --jars `ls packaging/hudi-spark-bundle/target/hudi-spark-bundle_2.11-*.*.*-SNAPSHOT.jar` \
  --conf 'spark.serializer=org.apache.spark.serializer.KryoSerializer'

To build the Javadoc for all Java and Scala classes:

# Javadoc generated under target/site/apidocs
mvn clean javadoc:aggregate -Pjavadocs

Build with Scala 2.12

The default Scala version supported is 2.11. To build for Scala 2.12 version, build using scala-2.12 profile

mvn clean package -DskipTests -DskipITs -Dscala-2.12

Build without spark-avro module

The default hudi-jar bundles spark-avro module. To build without spark-avro module, build using spark-shade-unbundle-avro profile

# Checkout code and build
git clone https://github.com/apache/hudi.git && cd hudi
mvn clean package -DskipTests -DskipITs -Pspark-shade-unbundle-avro

# Start command
spark-2.4.4-bin-hadoop2.7/bin/spark-shell \
  --packages org.apache.spark:spark-avro_2.11:2.4.4 \
  --jars `ls packaging/hudi-spark-bundle/target/hudi-spark-bundle_2.11-*.*.*-SNAPSHOT.jar` \
  --conf 'spark.serializer=org.apache.spark.serializer.KryoSerializer'

Running Tests

All tests can be run with maven

mvn test

To run tests with spark event logging enabled, define the Spark event log directory. This allows visualizing test DAG and stages using Spark History Server UI.

mvn test -DSPARK_EVLOG_DIR=/path/for/spark/event/log

Quickstart

Please visit https://hudi.apache.org/docs/quick-start-guide.html to quickly explore Hudi's capabilities using spark-shell.