Google Git
Sign in
apache / hudi / 1b27259b530225e3c76fda684f888cad78045d3c
commit1b27259b530225e3c76fda684f888cad78045d3c[log] [tgz]
authorDanny Chan <yuzhao.cyz@gmail.com>Sun Apr 25 23:06:53 2021 +0800
committerGitHub <noreply@github.com>Sun Apr 25 23:06:53 2021 +0800
tree2ee497db6dc5c8c97156b53fc5357b17215194ff
parenta5789c40673b36d40adab696706acc1446a286f8 [diff]
[HUDI-1844] Add option to flush when total buckets memory exceeds the threshold (#2877)

Current code supports flushing as per-bucket memory usage, while the
buckets may still take too much memory for bootstrap from history data.

When the threshold hits, flush out half of the buckets with bigger
buffer size.
4 files changed
tree: 2ee497db6dc5c8c97156b53fc5357b17215194ff
  1. .github/
  2. docker/
  3. hudi-cli/
  4. hudi-client/
  5. hudi-common/
  6. hudi-examples/
  7. hudi-flink/
  8. hudi-hadoop-mr/
  9. hudi-integ-test/
  10. hudi-spark-datasource/
  11. hudi-sync/
  12. hudi-timeline-service/
  13. hudi-utilities/
  14. packaging/
  15. scripts/
  16. style/
  17. .asf.yaml
  18. .codecov.yml
  19. .gitignore
  20. .travis.yml
  21. azure-pipelines.yml
  22. doap_HUDI.rdf
  23. LICENSE
  24. NOTICE
  25. pom.xml
  26. README.md
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
  • Optimize data lake layout with clustering

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

# 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 -Dscala-2.12

Build with Spark 3.0.0

The default Spark version supported is 2.4.4. To build for Spark 3.0.0 version, build using spark3 profile

mvn clean package -DskipTests -Dspark3

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 -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

Unit tests can be run with maven profile unit-tests.

mvn -Punit-tests test

Functional tests, which are tagged with @Tag("functional"), can be run with maven profile functional-tests.

mvn -Pfunctional-tests 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 -Punit-tests 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.