Spark低版本适配Celeborn

本文介绍: 下载 patch，这里下载 spark-3版本，将Cel e b o rn _Dy n a m ic _Allocation _spark3_3.patch放至spark-3.3.1源码目录下，和core同一层级,执行如下命令代码合并。Spark-3.5版本以下使用Cel e b o rn时，无法使用动态资源，对于低版本的Spark，Cel e b o rn提供了patch。各版本patch 如下。重新编译 spark源码，并生成 spark tgz包。

Spark-3.5版本以下使用Cel e b o rn时，无法使用动态资源，对于低版本的Sp ar k，Cel ebo rn提供了patch。各版本patch 如下

https://github.com/apache/incubator-celeborn/tree/main/assets/spark-patch

下载 patch，这里下载 spark-3版本，将Cel ebo rn _Dynam ic _Allocation_sp ar k3_3.patch放至sp ar k-3.3.1源码目录下，和core同一层级,执行如下命令代码合并

patch -p1 &lt; Celeborn_Dynamic_Allocation_spark3_3.patch

重新编译 spar k源码，并生成 spar k tgz包

./dev/make-distribution.sh --tgz --name custom-spark -Phadoop-3.2 -Dhadoop.version=3.2.1 
 -Phive-3.2.1 -Phive-thriftserver -Pyarn -DskipTests

提交任务

 /opt/apps/SPARK3/spark-3.3.1-bin-custom-spark/bin/spark-submit 
--conf spark.shuffle.manager=org.apache.spark.shuffle.celeborn.SparkShuffleManager 
--conf spark.celeborn.client.spark.shuffle.writer=hash 
--conf spark.serializer=org.apache.spark.serializer.KryoSerializer 
--conf spark.celeborn.master.endpoints=celeborn-master:9097 
--conf spark.sql.adaptive.enabled=true 
--conf spark.sql.adaptive.skewJoin.enabled=false 
--conf spark.celeborn.client.push.replicate.enabled=false 
--conf spark.dynamicAllocation.enabled=true 
--conf spark.shuffle.service.enabled=false 
--conf spark.celeborn.storage.hdfs.dir=hdfs://hdfs-cluster/celeborn 
--conf spark.dynamicAllocation.initialExecutors=10 
--conf spark.dynamicAllocation.minExecutors=0 
--conf spark.dynamicAllocation.maxExecutors=10 
--conf spark.dynamicAllocation.executorIdleTimeout=30s 
--queue dataAnalysis 
--class com.rs.dsp.etl.jobs.CommonUserTrackSessionDetailD 
--master yarn 
--deploy-mode cluster 
--driver-memory 4GB 
--executor-memory 15G 
--executor-cores 2 
/root/rs-dsp-spark-1.0-SNAPSHOT-jar-with-dependencies.jar