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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