[jira] [Created] (SPARK-19255) SQL Listener is causing out of memory, in case of large no of shuffle partition

["Ashok Kumar (JIRA)" <ji...@apache.org>]

Ashok Kumar created SPARK-19255:
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             Summary: SQL Listener is causing out of memory, in case of large no of shuffle partition
                 Key: SPARK-19255
                 URL: https://issues.apache.org/jira/browse/SPARK-19255
             Project: Spark
          Issue Type: Improvement
          Components: SQL
         Environment: Linux
            Reporter: Ashok Kumar
            Priority: Minor


Test steps.
1.CREATE TABLE sample(imei string,age int,task bigint,num double,level decimal(10,3),productdate timestamp,name string,point int)USING com.databricks.spark.csv OPTIONS (path "data.csv", header "false", inferSchema "false");

2. set spark.sql.shuffle.partitions=100000;
3. select count(*) from (select task,sum(age) from sample group by task) t;

After running above query, number of objects in map variable _stageIdToStageMetrics has increase to very high number , this increment is proportional to number of shuffle partition.

Please have a look at attached screenshot





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