commit | c51ac6553e7faa40a9a41ad40330cccd34554149 | [log] [tgz] |
---|---|---|
author | Balaji Varadarajan <varadarb@uber.com> | Thu Jun 25 21:23:43 2020 -0700 |
committer | Balaji Varadarajan <varadarb@uber.com> | Thu Jun 25 21:23:43 2020 -0700 |
tree | 46546126f8e3cdaeed0847c6059c71b626706cdb | |
parent | 47eab437214ee4c2e097697dd2273166c59e194f [diff] |
[MINOR] Update release version to reflect published version 0.5.3
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).
Hudi supports three types of queries:
Learn more about Hudi at https://hudi.apache.org
Prerequisites for building Apache Hudi:
# Checkout code and build git clone https://github.com/apache/hudi.git && cd hudi mvn clean package -DskipTests -DskipITs
To build the Javadoc for all Java and Scala classes:
# Javadoc generated under target/site/apidocs mvn clean javadoc:aggregate -Pjavadocs
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
Please visit https://hudi.apache.org/docs/quick-start-guide.html to quickly explore Hudi's capabilities using spark-shell.