commit | 84ca5b0cae72d9b33271045efee93a4cf1a0cff5 | [log] [tgz] |
---|---|---|
author | Sivabalan Narayanan <sivabala@uber.com> | Sun Jun 07 16:23:40 2020 -0400 |
committer | Sivabalan Narayanan <sivabala@uber.com> | Mon Jun 08 15:50:55 2020 -0400 |
tree | b2add3badfcae9e4e7428cc6dbf91cfc95875b20 | |
parent | ae48ecbe232eb55267d1a138baeec13baa1fb249 [diff] |
Making few fixes after cherry picking
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.