UCX for Apache Spark is a high performance ShuffleManager plugin for Apache Spark, that uses RDMA and other high performance transports that are supported by UCX, to perform Shuffle data transfers in Spark jobs.

• Apache Spark 2.4/3.0
• Java 8
• Installed UCX of version 1.13 , and UCX supported transport hardware.

Please use the "Releases" page to download SparkUCX jar file for your spark version (e.g. ucx-spark-1.1-for-spark-2.4.0-jar-with-dependencies.jar). Put ucx-spark jar file in $SPARK_UCX_HOME on all the nodes in your cluster.
If you would like to build the project yourself, please refer to the "Build" section below.

Ucx binaries must be in Spark classpath on every Spark Worker. It can be obtained by installing the latest version from Ucx release page

Provide Spark the location of the SparkUCX plugin jars and ucx shared binaries by using the extraClassPath option.

spark.driver.extraClassPath     $SPARK_UCX_HOME/spark-ucx-1.0-for-spark-2.4.0-jar-with-dependencies.jar
spark.executor.extraClassPath   $SPARK_UCX_HOME/spark-ucx-1.0-for-spark-2.4.0-jar-with-dependencies.jar:$UCX_PREFIX/lib

To enable the UCX for Apache Spark Shuffle Manager plugin, add the following configuration property to spark (e.g. in $SPARK_HOME/conf/spark-defaults.conf):

spark.shuffle.manager   org.apache.spark.shuffle.UcxShuffleManager
spark.executorEnv.UCX_ERROR_SIGNALS "" 

Building the SparkUCX plugin requires Apache Maven and Java 8 JDK

Build instructions:

% git clone https://github.com/nvidia/sparkucx
% cd sparkucx
% mvn -DskipTests clean package -Pspark-3.0