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apache / hudi / 68a656b01650cfcd8c099dd04cea59fb083dca69
commit68a656b01650cfcd8c099dd04cea59fb083dca69[log] [tgz]
authorwangxianghu <wxhjsxz@126.com>Sun Jun 21 22:34:47 2020 +0800
committerGitHub <noreply@github.com>Sun Jun 21 07:34:47 2020 -0700
tree200b0a5620b76d883c73171b6cb30f376fd4335d
parent8a9fdd603e3e532ea5252b98205acfb8aa648795 [diff]
[HUDI-1032] Remove unused code in HoodieCopyOnWriteTable and code clean (#1750)
2 files changed
tree: 200b0a5620b76d883c73171b6cb30f376fd4335d
  1. .github/
  2. docker/
  3. hudi-cli/
  4. hudi-client/
  5. hudi-common/
  6. hudi-examples/
  7. hudi-hadoop-mr/
  8. hudi-hive-sync/
  9. hudi-integ-test/
  10. hudi-spark/
  11. hudi-timeline-service/
  12. hudi-utilities/
  13. packaging/
  14. scripts/
  15. style/
  16. .asf.yaml
  17. .codecov.yml
  18. .gitignore
  19. .travis.yml
  20. doap_HUDI.rdf
  21. LICENSE
  22. NOTICE
  23. pom.xml
  24. 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

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'

Quickstart

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