I'm on my phone, so can't compare with the Spark source, but that looks to me like it should be well after the ctx loader has been set. You could try printing the classpath of the loader Thread.currentThread().getThreadContextClassLoader(), or try to load your class from that yourself to see if you get the same error.
Can you see which thread is throwing the exception? If it is a different thread than the "main" application thread it might not have the thread ctx loader set correctly. I can't see any of your classes in the stacktrace - I assume that is because of your scrubbing, but it could also be because this is run in separate thread without ctx loader set. It also looks like Hadoop is caching the FileSystems somehow - perhaps you can create the S3A filesystem yourself and hope it picks that up? (Wild guess, no idea if that works or how hard it would be.) On Tue, Dec 13, 2022, 17:29 Hariharan <hariharan...@gmail.com> wrote: > Thanks for the response, scrypso! I will try adding the extraClassPath > option. Meanwhile, please find the full stack trace below (I have > masked/removed references to proprietary code) > > java.lang.RuntimeException: java.lang.RuntimeException: > java.lang.ClassNotFoundException: Class foo.bar.MyS3ClientFactory not found > at > org.apache.hadoop.conf.Configuration.getClass(Configuration.java:2720) > at > org.apache.hadoop.fs.s3a.S3AFileSystem.bindAWSClient(S3AFileSystem.java:888) > at > org.apache.hadoop.fs.s3a.S3AFileSystem.initialize(S3AFileSystem.java:542) > at > org.apache.hadoop.fs.FileSystem.createFileSystem(FileSystem.java:3469) > at org.apache.hadoop.fs.FileSystem.access$300(FileSystem.java:174) > at > org.apache.hadoop.fs.FileSystem$Cache.getInternal(FileSystem.java:3574) > at org.apache.hadoop.fs.FileSystem$Cache.get(FileSystem.java:3521) > at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:540) > at org.apache.hadoop.fs.Path.getFileSystem(Path.java:365) > at > org.apache.spark.sql.execution.datasources.DataSource$.$anonfun$checkAndGlobPathIfNecessary$1(DataSource.scala:752) > at scala.collection.immutable.List.map(List.scala:293) > at > org.apache.spark.sql.execution.datasources.DataSource$.checkAndGlobPathIfNecessary(DataSource.scala:750) > at > org.apache.spark.sql.execution.datasources.DataSource.checkAndGlobPathIfNecessary(DataSource.scala:579) > at > org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:408) > at > org.apache.spark.sql.DataFrameReader.loadV1Source(DataFrameReader.scala:228) > at > org.apache.spark.sql.DataFrameReader.$anonfun$load$2(DataFrameReader.scala:210) > at scala.Option.getOrElse(Option.scala:189) > at > org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:210) > > Thanks again! > > On Tue, Dec 13, 2022 at 9:52 PM scrypso <scry...@gmail.com> wrote: > >> Two ideas you could try: >> >> You can try spark.driver.extraClassPath as well. Spark loads the user's >> jar in a child classloader, so Spark/Yarn/Hadoop can only see your classes >> reflectively. Hadoop's Configuration should use the thread ctx classloader, >> and Spark should set that to the loader that loads your jar. The >> extraClassPath option just adds jars directly to the Java command that >> creates the driver/executor. >> >> I can't immediately tell how your error might arise, unless there is some >> timing issue with the Spark and Hadoop setup. Can you share the full >> stacktrace of the ClassNotFound exception? That might tell us when Hadoop >> is looking up this class. >> >> Good luck! >> - scrypso >> >> >> On Tue, Dec 13, 2022, 17:05 Hariharan <hariharan...@gmail.com> wrote: >> >>> Missed to mention it above, but just to add, the error is coming from >>> the driver. I tried using *--driver-class-path /path/to/my/jar* as >>> well, but no luck. >>> >>> Thanks! >>> >>> On Mon, Dec 12, 2022 at 4:21 PM Hariharan <hariharan...@gmail.com> >>> wrote: >>> >>>> Hello folks, >>>> >>>> I have a spark app with a custom implementation of >>>> *fs.s3a.s3.client.factory.impl* which is packaged into the same jar. >>>> Output of *jar tf* >>>> >>>> *2620 Mon Dec 12 11:23:00 IST 2022 aws/utils/MyS3ClientFactory.class* >>>> >>>> However when I run the my spark app with spark-submit in cluster mode, >>>> it fails with the following error: >>>> >>>> *java.lang.RuntimeException: java.lang.RuntimeException: >>>> java.lang.ClassNotFoundException: Class aws.utils.MyS3ClientFactory not >>>> found* >>>> >>>> I tried: >>>> 1. passing in the jar to the *--jars* option (with the local path) >>>> 2. Passing in the jar to *spark.yarn.jars* option with an HDFS path >>>> >>>> but still the same error. >>>> >>>> Any suggestions on what I'm missing? >>>> >>>> Other pertinent details: >>>> Spark version: 3.3.0 >>>> Hadoop version: 3.3.4 >>>> >>>> Command used to run the app >>>> */spark/bin/spark-submit --class MyMainClass --deploy-mode cluster >>>> --master yarn --conf spark.executor.instances=6 /path/to/my/jar* >>>> >>>> TIA! >>>> >>>
