[ https://issues.apache.org/jira/browse/SPARK-37588?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
ramakrishna chilaka updated SPARK-37588: ---------------------------------------- Attachment: screenshot-1.png > lot of strings get accumulated in the heap dump of spark thrift server > ---------------------------------------------------------------------- > > Key: SPARK-37588 > URL: https://issues.apache.org/jira/browse/SPARK-37588 > Project: Spark > Issue Type: Bug > Components: Spark Core, SQL > Affects Versions: 3.2.0 > Environment: Open JDK (8 build 1.8.0_312-b07) and scala 2.12 > OS: Red Hat Enterprise Linux 8.4 (Ootpa), platform:el8 > Reporter: ramakrishna chilaka > Priority: Major > Attachments: screenshot-1.png > > > I am starting spark thrift server using the following options > ``` > /data/spark/sbin/start-thriftserver.sh --master spark://*****:7077 --conf > "spark.cores.max=320" --conf "spark.executor.cores=3" --conf > "spark.driver.cores=15" --executor-memory=10G --driver-memory=50G --conf > spark.sql.adaptive.coalescePartitions.enabled=true --conf > spark.sql.adaptive.skewJoin.enabled=true --conf spark.sql.cbo.enabled=true > --conf spark.sql.adaptive.enabled=true --conf spark.rpc.io.serverThreads=64 > --conf "spark.driver.maxResultSize=4G" --conf > "spark.max.fetch.failures.per.stage=10" --conf > "spark.sql.thriftServer.incrementalCollect=false" --conf > "spark.ui.reverseProxy=true" --conf "spark.ui.reverseProxyUrl=/spark_ui" > --conf "spark.sql.autoBroadcastJoinThreshold=1073741824" --conf > spark.sql.thriftServer.interruptOnCancel=true --conf > spark.sql.thriftServer.queryTimeout=0 --hiveconf > hive.server2.transport.mode=http --hiveconf > hive.server2.thrift.http.path=spark_sql --hiveconf > hive.server2.thrift.min.worker.threads=500 --hiveconf > hive.server2.thrift.max.worker.threads=2147483647 --hiveconf > hive.server2.thrift.http.cookie.is.secure=false --hiveconf > hive.server2.thrift.http.cookie.auth.enabled=false --hiveconf > hive.server2.authentication=NONE --hiveconf hive.server2.enable.doAs=false > --hiveconf spark.sql.hive.thriftServer.singleSession=true --hiveconf > hive.server2.thrift.bind.host=0.0.0.0 --conf > "spark.sql.extensions=io.delta.sql.DeltaSparkSessionExtension" --conf > "spark.sql.catalog.spark_catalog=org.apache.spark.sql.delta.catalog.DeltaCatalog" > --conf "spark.sql.cbo.joinReorder.enabled=true" --conf > "spark.sql.optimizer.dynamicPartitionPruning.enabled=true" --conf > "spark.worker.cleanup.enabled=true" --conf > "spark.worker.cleanup.appDataTtl=3600" --hiveconf > hive.exec.scratchdir=/data/spark_scratch/hive --hiveconf > hive.exec.local.scratchdir=/data/spark_scratch/local_scratch_dir --hiveconf > hive.download.resources.dir=/data/spark_scratch/hive.downloaded.resources.dir > --hiveconf hive.querylog.location=/data/spark_scratch/hive.querylog.location > --conf spark.executor.extraJavaOptions="-XX:+PrintGCDetails > -XX:+PrintGCTimeStamps" --conf spark.driver.extraJavaOptions="-verbose:gc > -XX:+PrintGCDetails -XX:+PrintGCTimeStamps -XX:+PrintGCDateStamps > -Xloggc:/data/thrift_driver_gc.log -XX:+ExplicitGCInvokesConcurrent > -XX:MinHeapFreeRatio=20 -XX:MaxHeapFreeRatio=40 -XX:GCTimeRatio=4 > -XX:AdaptiveSizePolicyWeight=90 -XX:MaxRAM=55g" --hiveconf > "hive.server2.session.check.interval=60000" --hiveconf > "hive.server2.idle.session.timeout=900000" --hiveconf > "hive.server2.idle.session.check.operation=true" --conf > "spark.eventLog.enabled=false" --conf > "spark.cleaner.periodicGC.interval=5min" --conf > "spark.appStateStore.asyncTracking.enable=false" --conf > "spark.ui.retainedJobs=30" --conf "spark.ui.retainedStages=100" --conf > "spark.ui.retainedTasks=500" --conf "spark.sql.ui.retainedExecutions=10" > --conf "spark.ui.retainedDeadExecutors=10" --conf > "spark.worker.ui.retainedExecutors=10" --conf > "spark.worker.ui.retainedDrivers=10" --conf spark.ui.enabled=false --conf > spark.stage.maxConsecutiveAttempts=10 --conf spark.executor.memoryOverhead=1G > --conf "spark.io.compression.codec=snappy" --conf > "spark.default.parallelism=640" --conf spark.memory.offHeap.enabled=true > --conf "spark.memory.offHeap.size=3g" --conf "spark.memory.fraction=0.75" > --conf "spark.memory.storageFraction=0.75" > ``` > the java heap dump after heavy usage is as follows > ``` > 1: 50465861 9745837152 [C > 2: 23337896 1924089944 [Ljava.lang.Object; > 3: 72524905 1740597720 java.lang.Long > 4: 50463694 1614838208 java.lang.String > 5: 22718029 726976928 > org.apache.spark.sql.catalyst.expressions.GenericRowWithSchema > 6: 2259416 343483328 [Lscala.collection.mutable.HashEntry; > 7: 16 141744616 [Lorg.apache.spark.sql.Row; > 8: 532529 123546728 > org.apache.spark.sql.catalyst.expressions.Cast > 9: 535418 72816848 > org.apache.spark.sql.catalyst.expressions.Literal > 10: 1105284 70738176 scala.collection.mutable.LinkedHashSet > 11: 1725833 70655016 [J > 12: 1154128 55398144 scala.collection.mutable.HashMap > 13: 1720740 55063680 org.apache.spark.util.collection.BitSet > 14: 572222 50355536 scala.collection.immutable.Vector > 15: 1602297 38455128 scala.Some > 16: 1154303 36937696 scala.collection.immutable.$colon$colon > 17: 1105284 26526816 > org.apache.spark.sql.catalyst.expressions.AttributeSet > 18: 1066442 25594608 java.lang.Integer > 19: 735502 23536064 > scala.collection.immutable.HashSet$HashSet1 > 20: 10300 19511408 [B > 21: 543994 17407808 scala.Tuple2 > 22: 530244 16967808 org.apache.spark.sql.catalyst.trees.Origin > 23: 274445 13173360 java.util.Hashtable$Entry > 24: 225826 13089920 [Lscala.collection.immutable.HashSet; > 25: 529922 12718128 > org.apache.spark.sql.catalyst.expressions.CastBase$$Lambda$3882/1746188635 > 26: 221866 10649568 > java.util.concurrent.ConcurrentHashMap$Node > 27: 384729 9233496 java.lang.Double > 28: 225826 7226432 > scala.collection.immutable.HashSet$HashTrieSet > 29: 1071 6659680 > [Ljava.util.concurrent.ConcurrentHashMap$Node; > 30: 25853 4348744 java.lang.Class > 31: 5760 3916800 > io.netty.util.internal.shaded.org.jctools.queues.MpscArrayQueue > 32: 1232 3710888 [Ljava.util.Hashtable$Entry; > 33: 17303 3460600 > org.apache.spark.sql.catalyst.expressions.objects.Invoke > 34: 20409 3265440 java.lang.reflect.Method > 35: 47506 2280288 java.util.HashMap$Node > 36: 7489 1568600 [Ljava.util.HashMap$Node; > 37: 285 1539888 [Ljava.nio.ByteBuffer; > 38: 237 1452984 [[B > 39: 4138 1291056 org.apache.spark.status.TaskDataWrapper > ``` > there is 9.7 gb of heap memory that is occupied by char array, not sure, why > is it ? Can someone help me understand remove this 9.7 gb of memory. -- This message was sent by Atlassian Jira (v8.20.1#820001) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org