commit | 949941197df728d8bf811acd2a813332d2719e4b | [log] [tgz] |
---|---|---|
author | vinoth chandar <vinothchandar@users.noreply.github.com> | Mon May 25 09:12:29 2020 -0700 |
committer | Sivabalan Narayanan <sivabala@uber.com> | Sun May 31 08:57:53 2020 -0400 |
tree | 51ff47565f059e3e8a19c7bbffbe0a735d439714 | |
parent | ef109c219544c0e8e6f1f91ff5ebced45b4f3392 [diff] |
[MINOR] Fix PMC tag in doap file (#1666)
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.