[ https://issues.apache.org/jira/browse/SPARK-6844?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14491166#comment-14491166 ]
Apache Spark commented on SPARK-6844: ------------------------------------- User 'viirya' has created a pull request for this issue: https://github.com/apache/spark/pull/5475 > Memory leak occurs when register temp table with cache table on > --------------------------------------------------------------- > > Key: SPARK-6844 > URL: https://issues.apache.org/jira/browse/SPARK-6844 > Project: Spark > Issue Type: Bug > Components: SQL > Affects Versions: 1.3.0 > Reporter: Jack Hu > Labels: Memory, SQL > > There is a memory leak in register temp table with cache on > This is the simple code to reproduce this issue: > {code} > val sparkConf = new SparkConf().setAppName("LeakTest") > val sparkContext = new SparkContext(sparkConf) > val sqlContext = new SQLContext(sparkContext) > val tableName = "tmp" > val jsonrdd = sparkContext.textFile("""sample.json""") > var loopCount = 1L > while(true) { > sqlContext.jsonRDD(jsonrdd).registerTempTable(tableName) > sqlContext.cacheTable(tableName) > println("L: " +loopCount + " R:" + sqlContext.sql("""select count(*) > from tmp""").count()) > sqlContext.uncacheTable(tableName) > loopCount += 1 > } > {code} > The cause is that the {{InMemoryRelation}}. {{InMemoryColumnarTableScan}} > uses the accumulator > ({{InMemoryRelation.batchStats}},{{InMemoryColumnarTableScan.readPartitions}}, > {{InMemoryColumnarTableScan.readBatches}} ) to get some information from > partitions or for test. These accumulators will register itself into a static > map in {{Accumulators.originals}} and never get cleaned up. -- 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