Hello. I am running Spark 2.4.4. I have implemented a custom metrics producer. It works well when I run locally, or specify the metrics producer only for the driver. When I ask for executor metrics I run into ClassNotFoundExceptions
*Is it possible to pass a metrics JAR via --jars? If so what am I missing?* Deploy driver stats via: --jars hdfs:///custommetricsprovider.jar --conf spark.metrics.conf.driver.sink.metrics.class=org.apache.spark.mycustommetricssink However, when I pass the JAR with the metrics provider to executors via: --jars hdfs:///custommetricsprovider.jar --conf spark.metrics.conf.executor.sink.metrics.class=org.apache.spark.mycustommetricssink I get ClassNotFoundException: 20/06/25 21:19:35 ERROR MetricsSystem: Sink class org.apache.spark.custommetricssink cannot be instantiated Exception in thread "main" java.lang.reflect.UndeclaredThrowableException at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1748) at org.apache.spark.deploy.SparkHadoopUtil.runAsSparkUser(SparkHadoopUtil.scala:64) at org.apache.spark.executor.CoarseGrainedExecutorBackend$.run(CoarseGrainedExecutorBackend.scala:188) at org.apache.spark.executor.CoarseGrainedExecutorBackend$.main(CoarseGrainedExecutorBackend.scala:281) at org.apache.spark.executor.CoarseGrainedExecutorBackend.main(CoarseGrainedExecutorBackend.scala) Caused by: java.lang.ClassNotFoundException: org.apache.spark.custommetricssink at java.net.URLClassLoader.findClass(URLClassLoader.java:382) at java.lang.ClassLoader.loadClass(ClassLoader.java:418) at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352) at java.lang.ClassLoader.loadClass(ClassLoader.java:351) at java.lang.Class.forName0(Native Method) at java.lang.Class.forName(Class.java:348) at org.apache.spark.util.Utils$.classForName(Utils.scala:238) at org.apache.spark.metrics.MetricsSystem$$anonfun$registerSinks$1.apply(MetricsSystem.scala:198) at org.apache.spark.metrics.MetricsSystem$$anonfun$registerSinks$1.apply(MetricsSystem.scala:194) at scala.collection.mutable.HashMap$$anonfun$foreach$1.apply(HashMap.scala:130) at scala.collection.mutable.HashMap$$anonfun$foreach$1.apply(HashMap.scala:130) at scala.collection.mutable.HashTable$class.foreachEntry(HashTable.scala:236) at scala.collection.mutable.HashMap.foreachEntry(HashMap.scala:40) at scala.collection.mutable.HashMap.foreach(HashMap.scala:130) at org.apache.spark.metrics.MetricsSystem.registerSinks(MetricsSystem.scala:194) at org.apache.spark.metrics.MetricsSystem.start(MetricsSystem.scala:102) at org.apache.spark.SparkEnv$.create(SparkEnv.scala:365) at org.apache.spark.SparkEnv$.createExecutorEnv(SparkEnv.scala:201) at org.apache.spark.executor.CoarseGrainedExecutorBackend$$anonfun$run$1.apply$mcV$sp(CoarseGrainedExecutorBackend.scala:221) at org.apache.spark.deploy.SparkHadoopUtil$$anon$2.run(SparkHadoopUtil.scala:65) at org.apache.spark.deploy.SparkHadoopUtil$$anon$2.run(SparkHadoopUtil.scala:64) at java.security.AccessController.doPrivileged(Native Method) at javax.security.auth.Subject.doAs(Subject.java:422) at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1730) ... 4 more Is it possible to pass a metrics JAR via --jars? If so what am I missing? Thank you, Bryan
