ea59a7ff5f
Update Azure CI ubuntu from 16.04 to 18.04 due to 16.04 will be removed soon Fixed some consistently failed tests * fix TestCOWDataSourceStorage TestMORDataSourceStorage * reset mocks Also update readme badge Co-authored-by: Raymond Xu <2701446+xushiyan@users.noreply.github.com>
125 lines
5.1 KiB
Markdown
125 lines
5.1 KiB
Markdown
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Licensed to the Apache Software Foundation (ASF) under one or more
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contributor license agreements. See the NOTICE file distributed with
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The ASF licenses this file to You under the Apache License, Version 2.0
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Unless required by applicable law or agreed to in writing, software
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# Apache Hudi
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Apache Hudi (pronounced Hoodie) stands for `Hadoop Upserts Deletes and Incrementals`.
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Hudi manages the storage of large analytical datasets on DFS (Cloud stores, HDFS or any Hadoop FileSystem compatible storage).
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<https://hudi.apache.org/>
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[](https://github.com/apache/hudi/actions/workflows/bot.yml)
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[](https://dev.azure.com/apache-hudi-ci-org/apache-hudi-ci/_build/latest?definitionId=3&branchName=master)
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[](https://www.apache.org/licenses/LICENSE-2.0.html)
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[](http://search.maven.org/#search%7Cga%7C1%7Cg%3A%22org.apache.hudi%22)
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[](https://join.slack.com/t/apache-hudi/shared_invite/enQtODYyNDAxNzc5MTg2LTE5OTBlYmVhYjM0N2ZhOTJjOWM4YzBmMWU2MjZjMGE4NDc5ZDFiOGQ2N2VkYTVkNzU3ZDQ4OTI1NmFmYWQ0NzE)
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## Features
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* Upsert support with fast, pluggable indexing
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* Atomically publish data with rollback support
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* Snapshot isolation between writer & queries
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* Savepoints for data recovery
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* Manages file sizes, layout using statistics
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* Async compaction of row & columnar data
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* Timeline metadata to track lineage
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* Optimize data lake layout with clustering
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Hudi supports three types of queries:
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* **Snapshot Query** - Provides snapshot queries on real-time data, using a combination of columnar & row-based storage (e.g [Parquet](https://parquet.apache.org/) + [Avro](https://avro.apache.org/docs/current/mr.html)).
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* **Incremental Query** - Provides a change stream with records inserted or updated after a point in time.
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* **Read Optimized Query** - Provides excellent snapshot query performance via purely columnar storage (e.g. [Parquet](https://parquet.apache.org/)).
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Learn more about Hudi at [https://hudi.apache.org](https://hudi.apache.org)
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## Building Apache Hudi from source
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Prerequisites for building Apache Hudi:
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* Unix-like system (like Linux, Mac OS X)
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* Java 8 (Java 9 or 10 may work)
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* Git
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* Maven
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```
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# Checkout code and build
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git clone https://github.com/apache/hudi.git && cd hudi
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mvn clean package -DskipTests
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# Start command
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spark-2.4.4-bin-hadoop2.7/bin/spark-shell \
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--jars `ls packaging/hudi-spark-bundle/target/hudi-spark-bundle_2.11-*.*.*-SNAPSHOT.jar` \
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--conf 'spark.serializer=org.apache.spark.serializer.KryoSerializer'
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```
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To build the Javadoc for all Java and Scala classes:
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```
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# Javadoc generated under target/site/apidocs
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mvn clean javadoc:aggregate -Pjavadocs
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```
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### Build with Scala 2.12
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The default Scala version supported is 2.11. To build for Scala 2.12 version, build using `scala-2.12` profile
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```
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mvn clean package -DskipTests -Dscala-2.12
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```
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### Build with Spark 3.0.0
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The default Spark version supported is 2.4.4. To build for Spark 3.0.0 version, build using `spark3` profile
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```
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mvn clean package -DskipTests -Dspark3
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```
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### Build without spark-avro module
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The default hudi-jar bundles spark-avro module. To build without spark-avro module, build using `spark-shade-unbundle-avro` profile
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```
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# Checkout code and build
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git clone https://github.com/apache/hudi.git && cd hudi
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mvn clean package -DskipTests -Pspark-shade-unbundle-avro
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# Start command
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spark-2.4.4-bin-hadoop2.7/bin/spark-shell \
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--packages org.apache.spark:spark-avro_2.11:2.4.4 \
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--jars `ls packaging/hudi-spark-bundle/target/hudi-spark-bundle_2.11-*.*.*-SNAPSHOT.jar` \
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--conf 'spark.serializer=org.apache.spark.serializer.KryoSerializer'
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```
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## Running Tests
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Unit tests can be run with maven profile `unit-tests`.
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```
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mvn -Punit-tests test
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```
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Functional tests, which are tagged with `@Tag("functional")`, can be run with maven profile `functional-tests`.
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```
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mvn -Pfunctional-tests test
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```
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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.
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```
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mvn -Punit-tests test -DSPARK_EVLOG_DIR=/path/for/spark/event/log
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```
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## Quickstart
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Please visit [https://hudi.apache.org/docs/quick-start-guide.html](https://hudi.apache.org/docs/quick-start-guide.html) to quickly explore Hudi's capabilities using spark-shell.
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