Thank you all so much for the kind words of encouragement on my first test report. As a follow up, I ran all my HDFS and Yarn nodes on Java 8 - including my Nodemanagers. I then modified Spark's conf/spark-defaults.conf according to Mr. Pan's prior post, and it worked: I was able to submit SparkPi and my PySpark code using 4.0.0-preview1 to Yarn, successfully deploying in both client and cluster mode. Without the changes, Yarn would have otherwise thrown an Unsupported Class Version Error about org/apache/spark/deploy/yarn/ExecutorLauncher. George
On Tue, Jun 18, 2024 at 6:26 AM Cheng Pan <pan3...@gmail.com> wrote: > FYI, I have submitted SPARK-48651( > https://github.com/apache/spark/pull/47010) to update the Spark on YARN > docs for JDK configuration, looking forward to your feedback. > > Thanks, > Cheng Pan > > > On Jun 18, 2024, at 02:00, George Magiros <gmagi...@gmail.com> wrote: > > I successfully submitted and ran org.apache.spark.examples.SparkPi on Yarn > using 4.0.0-preview1. However I got it to work only after fixing an issue > with the Yarn nodemanagers (Hadoop v3.3.6 and v3.4.0). Namely the issue > was: > 1. If the nodemanagers used java 11, Yarn threw an error about not finding > the jdk.incubator.vector module. > 2. If the nodemanagers used java 17, which has the jdk.incubator.vector > module, Yarn threw a reflection error about class not found. > > To resolve the error and successfully calculate pi, > 1. I ran java 17 on the nodemanagers and > 2. added 'export > HADOOP_OPTS="--add-opens=java.base/java.lang=ALL-UNNAMED"' to their > conf/hadoop-env.sh file. > > George > > >
