Closed leehaoun closed 10 months ago
hello @leehaoun, it would be great to see executor logs as they should hopefully give more information on what is failing. Can you take a look at those logs and share any errors you see?
@abellina Because the Executor wasn't created, there are no logs available for verification. (No record of Executor addition).
The EventLog in the HistoryServer is below.
{"Event":"SparkListenerLogStart","Spark Version":"3.4.1"}
{"Event":"SparkListenerResourceProfileAdded","Resource Profile Id":0,"Executor Resource Requests":{"cores":{"Resource Name":"cores","Amount":8,"Discovery Script":"","Vendor":""},"memory":{"Resource Name":"memory","Amount":131072,"Discovery Script":"","Vendor":""},"offHeap":{"Resource Name":"offHeap","Amount":0,"Discovery Script":"","Vendor":""},"gpu":{"Resource Name":"gpu","Amount":1,"Discovery Script":"","Vendor":""}},"Task Resource Requests":{"cpus":{"Resource Name":"cpus","Amount":1.0},"gpu":{"Resource Name":"gpu","Amount":0.125}}}
{"Event":"SparkListenerBlockManagerAdded","Block Manager ID":{"Executor ID":"driver","Host":"30.0.0.2","Port":35705},"Maximum Memory":384093388,"Timestamp":1700712652420,"Maximum Onheap Memory":384093388,"Maximum Offheap Memory":0}
{"Event":"SparkListenerEnvironmentUpdate","JVM Information":{"Java Home":"/usr/lib/jvm/java-8-openjdk-amd64/jre","Java Version":"1.8.0_382 (Private Build)","Scala Version":"version 2.12.17"},"Spark Properties":{"spark.plugins.internal.conf.com.nvidia.spark.SQLPlugin.spark.rapids.sql.python.gpu.enabled":"true","spark.executor.resource.gpu.amount":"1","spark.rapids.sql.concurrentGpuTasks":"4","spark.sql.files.maxPartitionBytes":"512m","spark.executor.extraJavaOptions":"-Djava.net.preferIPv6Addresses=false -XX:+IgnoreUnrecognizedVMOptions --add-opens=java.base/java.lang=ALL-UNNAMED --add-opens=java.base/java.lang.invoke=ALL-UNNAMED --add-opens=java.base/java.lang.reflect=ALL-UNNAMED --add-opens=java.base/java.io=ALL-UNNAMED --add-opens=java.base/java.net=ALL-UNNAMED --add-opens=java.base/java.nio=ALL-UNNAMED --add-opens=java.base/java.util=ALL-UNNAMED --add-opens=java.base/java.util.concurrent=ALL-UNNAMED --add-opens=java.base/java.util.concurrent.atomic=ALL-UNNAMED --add-opens=java.base/sun.nio.ch=ALL-UNNAMED --add-opens=java.base/sun.nio.cs=ALL-UNNAMED --add-opens=java.base/sun.security.action=ALL-UNNAMED --add-opens=java.base/sun.util.calendar=ALL-UNNAMED --add-opens=java.security.jgss/sun.security.krb5=ALL-UNNAMED -Djdk.reflect.useDirectMethodHandle=false","spark.driver.host":"30.0.0.2","spark.serializer.objectStreamReset":"100","spark.history.fs.logDirectory":"file:///root/eventLog","spark.eventLog.enabled":"true","spark.shuffle.manager":"com.nvidia.spark.rapids.spark341.RapidsShuffleManager","spark.driver.port":"41803","spark.rdd.compress":"True","spark.jars":"*********(redacted)","spark.rapids.sql.python.gpu.enabled":"true","spark.rapids.memory.gpu.reserve":"1500000000","spark.app.name":"Linear_Regression","spark.plugins.internal.conf.com.nvidia.spark.SQLPlugin.spark.rapids.sql.concurrentGpuTasks":"4","spark.app.initial.file.urls":"*********(redacted)","spark.scheduler.mode":"FIFO","spark.plugins.internal.conf.com.nvidia.spark.SQLPlugin.spark.rapids.memory.gpu.reserve":"1500000000","spark.executor.instances":"2","spark.rapids.memory.pinnedPool.size":"16G","spark.submit.pyFiles":"*********(redacted)","spark.app.submitTime":"1700712647352","spark.plugins.internal.conf.com.nvidia.spark.SQLPlugin.spark.rapids.memory.pinnedPool.size":"16G","spark.files":"*********(redacted)","spark.app.startTime":"1700712650869","spark.executor.id":"driver","spark.task.resource.gpu.amount":"0.125","spark.driver.extraJavaOptions":"-Djava.net.preferIPv6Addresses=false 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-Djdk.reflect.useDirectMethodHandle=false","spark.rapids.driver.user.timezone":"Asia/Seoul","spark.app.initial.jar.urls":"*********(redacted)","spark.submit.deployMode":"client","spark.rapids.sql.multiThreadedRead.numThreads":"1","spark.master":"spark://30.0.0.2:7077","spark.plugins.internal.conf.com.nvidia.spark.SQLPlugin.spark.rapids.sql.multiThreadedRead.numThreads":"1","spark.rapids.sql.explain":"NOT_ON_GPU","spark.executor.memory":"128G","spark.driver.extraClassPath":"/opt/sparkRapidsPlugin/rapids-4-spark_2.12-23.10.0.jar","spark.eventLog.dir":"file:///root/eventLog","spark.executor.extraClassPath":"/opt/sparkRapidsPlugin/rapids-4-spark_2.12-23.10.0.jar","spark.executor.cores":"8","spark.plugins":"com.nvidia.spark.SQLPlugin","spark.repl.local.jars":"*********(redacted)","spark.task.cpus":"1","spark.plugins.internal.conf.com.nvidia.spark.SQLPlugin.spark.rapids.sql.explain":"NOT_ON_GPU","spark.sql.extensions":"com.nvidia.spark.rapids.SQLExecPlugin,com.nvidia.spark.udf.Plugin,com.nvidia.spark.rapids.optimizer.SQLOptimizerPlugin","spark.plugins.internal.conf.com.nvidia.spark.SQLPlugin.spark.rapids.driver.user.timezone":"Asia/Seoul","spark.app.id":"app-20231123131052-0002"},"Hadoop 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{"Event":"SparkListenerApplicationEnd","Timestamp":1700712700959}
I find this log in the remote worker's /root/spark-3.4.1-bin-hadoop3/work/app-20231124084536-0000/2/stderr
Using Spark's default log4j profile: org/apache/spark/log4j2-defaults.properties 23/11/24 08:45:39 INFO CoarseGrainedExecutorBackend: Started daemon with process name: 30258@ati 23/11/24 08:45:39 INFO SignalUtils: Registering signal handler for TERM 23/11/24 08:45:39 INFO SignalUtils: Registering signal handler for HUP 23/11/24 08:45:39 INFO SignalUtils: Registering signal handler for INT 23/11/24 08:45:40 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable 23/11/24 08:45:40 INFO SecurityManager: Changing view acls to: root 23/11/24 08:45:40 INFO SecurityManager: Changing modify acls to: root 23/11/24 08:45:40 INFO SecurityManager: Changing view acls groups to: 23/11/24 08:45:40 INFO SecurityManager: Changing modify acls groups to: 23/11/24 08:45:40 INFO SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: root; groups with view permissions: EMPTY; users with modify permissions: root; groups with modify permissions: EMPTY 23/11/24 08:45:40 INFO TransportClientFactory: Successfully created connection to /30.0.0.2:42187 after 56 ms (0 ms spent in bootstraps) 23/11/24 08:45:40 INFO SecurityManager: Changing view acls to: root 23/11/24 08:45:40 INFO SecurityManager: Changing modify acls to: root 23/11/24 08:45:40 INFO SecurityManager: Changing view acls groups to: 23/11/24 08:45:40 INFO SecurityManager: Changing modify acls groups to: 23/11/24 08:45:40 INFO SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: root; groups with view permissions: EMPTY; users with modify permissions: root; groups with modify permissions: EMPTY 23/11/24 08:45:40 INFO TransportClientFactory: Successfully created connection to /30.0.0.2:42187 after 2 ms (0 ms spent in bootstraps) Exception in thread "main" java.lang.reflect.UndeclaredThrowableException at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1894) at org.apache.spark.deploy.SparkHadoopUtil.runAsSparkUser(SparkHadoopUtil.scala:62) at org.apache.spark.executor.CoarseGrainedExecutorBackend$.run(CoarseGrainedExecutorBackend.scala:428) at org.apache.spark.executor.CoarseGrainedExecutorBackend$.main(CoarseGrainedExecutorBackend.scala:417) at org.apache.spark.executor.CoarseGrainedExecutorBackend.main(CoarseGrainedExecutorBackend.scala) Caused by: java.lang.ClassNotFoundException: com.nvidia.spark.rapids.spark341.RapidsShuffleManager at java.net.URLClassLoader.findClass(URLClassLoader.java:387) 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:225) at org.apache.spark.util.Utils$.instantiateSerializerOrShuffleManager(Utils.scala:2715) at org.apache.spark.SparkEnv$.create(SparkEnv.scala:323) at org.apache.spark.SparkEnv$.createExecutorEnv(SparkEnv.scala:212) at org.apache.spark.executor.CoarseGrainedExecutorBackend$.$anonfun$run$7(CoarseGrainedExecutorBackend.scala:477) at org.apache.spark.deploy.SparkHadoopUtil$$anon$1.run(SparkHadoopUtil.scala:63) at org.apache.spark.deploy.SparkHadoopUtil$$anon$1.run(SparkHadoopUtil.scala:62) 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:1878) ... 4 more
I'm sorry, it was my fault.
The issue was caused by the difference in the paths of SPARK_RAPIDS_JAR between the HOST and RemoteWorker.
After aligning the RAPIDS_JAR paths on both PCs, RAPIDS_Shuffle worked correctly.
I will close the issue.
Glad you got it working! Let us know if we can help!
What is your question? I want to use RAPIDS Shuffle Manager on my spark job. My Spark job code completes successfully when there are no settings related to the ShuffleManager. However, when I activate options related to ShuffleManager, the Executor on the remote PC connected via Mellanox optical cable Exits immediately upon creation and does not activate.
My submit command is below. (When I remove the contents corresponding to '--conf' here and submit, the remote Executor gets registered normally, and the job processes without any errors)
My Spark-Job code is below.
Problem
When i submit this job, local executor is loaded well. But, The Executor on the remote worker is forcefully terminated, leaving the following message
My detail environment - Master
OS : Ubuntu 22.04 cuda : 11.8 Spark : 2.12_3.4.1 JAVA : 1.8 rapids jar : rapids-4-spark_2.12-23.10.0.jar Conda environment :
GPU : RTX 3080 x 1 RAM : 314G MLNX Driver : MLNX_OFED_LINUX-23.10-0.5.5.0-ubuntu22.04-x86_64 NV_Peer_Mem : 1.2 UCX : 1.14.1
My detail environment - Worker
OS : Ubuntu 22.04 cuda : 11.8 Spark : 2.12_3.4.1 JAVA : 1.8 rapids jar : rapids-4-spark_2.12-23.10.0.jar Conda environment :
GPU : RTX 3090 x 1 RAM : 1TB MLNX Driver : MLNX_OFED_LINUX-23.10-0.5.5.0-ubuntu22.04-x86_64 NV_Peer_Mem : 1.2 UCX : 1.14.1