ZhengYaofeng created SPARK-10529: ------------------------------------ Summary: When creating multiple HiveContext objects in one jvm, jdbc connections to metastore cann't be released and it may cause PermGen OutOfMemoryError. Key: SPARK-10529 URL: https://issues.apache.org/jira/browse/SPARK-10529 Project: Spark Issue Type: Bug Components: SQL Affects Versions: 1.4.1 Reporter: ZhengYaofeng
Test code as follows: object SqlTest { def main (args: Array[String]) { var port = 4042 def createSc = { val sparkConf = new SparkConf().setAppName(s"SqlTest_$port") .setMaster("spark://zdh221:7077") .set("spark.ui.port",port.toString) .set("spark.executor.memory","4g") .set("spark.executor.cores","2") .set("spark.cores.max","6") port += 1 new SparkContext(sparkConf) } while(port - 4042 < 200){ println(s"============Current app id:${port - 4042}=============") val hc = new HiveContext(createSc) hc.sql("show databases").collect().foreach(println) hc.sparkContext.stop() //Hive.closeCurrent() //hc = null Thread.sleep(3000) } Thread.sleep(1000000) } } Testing on spark 1.4.1 with run cmd bellow. export CLASSPATH="$CLASSPATH:/home/hadoop/spark/conf:/home/hadoop/spark/lib/*:/home/hadoop/zyf/lib/*" java -Xmx8096m -Xms1024m -XX:MaxPermSize=1024m -cp $CLASSPATH SqlTest Files list: /home/hadoop/spark/conf:core-site.xml;hdfs-site.xml;hive-site.xml;slaves;spark-defaults.conf;spark-env.sh /home/hadoop/zyf/lib:hadoop-lzo-0.4.20.jar;mysql-connector-java-5.1.28-bin.jar;sqltest-1.0-SNAPSHOT.jar MySQL is used as the metastore. You can obviously see that jdbc connections to MySQL grow constantly through command 'show status like 'Threads_connected';' when my test app is running. Even if you invoke 'Hive.closeCurrent()', it cann't release current jdbc connections. Besides I can not find another possible way. If you take spark 1.3.1 to test, jdbc connections won't grow. Meanwhile, it ends with 'java.lang.OutOfMemoryError: PermGen space' when cycling 45 times, which means 45 HiveContext objects are created. It's interesting that if you set MaxPermSize to '2048m', it can cycle 93 times, if you set MaxPermSize to '3072m', it can cycle 141 times. So,it indicates that each time creating one HiveContext object, it loads the same amount of new classes and they won't be released. -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org