[jira] [Created] (SPARK-26103) OutOfMemory error with large query plans

["Dave DeCaprio (JIRA)" <ji...@apache.org>]

Dave DeCaprio created SPARK-26103:
-------------------------------------

             Summary: OutOfMemory error with large query plans
                 Key: SPARK-26103
                 URL: https://issues.apache.org/jira/browse/SPARK-26103
             Project: Spark
          Issue Type: Bug
          Components: SQL
    Affects Versions: 2.3.2, 2.3.1, 2.3.0
         Environment: Amazon EMR 5.19

1 c5.4xlarge master instance

1 c5.4xlarge core instance

2 c5.4xlarge task instances
            Reporter: Dave DeCaprio


Large query plans can cause OutOfMemory errors in the Spark driver.

We are creating data frames that are not extremely large but contain lots of nested joins.  These plans execute efficiently because of caching and partitioning, but the text version of the query plans generated can be hundreds of megabytes.  Running many of these in parallel causes our driver process to fail.

{{{{Exception in thread "main" java.lang.OutOfMemoryError: Java heap space at java.util.Arrays.copyOfRange(Arrays.java:2694) at java.lang.String.<init>(String.java:203) at java.lang.StringBuilder.toString(StringBuilder.java:405) at scala.StringContext.standardInterpolator(StringContext.scala:125) at scala.StringContext.s(StringContext.scala:90) at org.apache.spark.sql.execution.QueryExecution.toString(QueryExecution.scala:70) at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:52) at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelation.run(InsertIntoHadoopFsRelation.scala:108) }}}}

 

A similar error is reported in [https://stackoverflow.com/questions/38307258/out-of-memory-error-when-writing-out-spark-dataframes-to-parquet-format]

 

Code exists to truncate the string if the number of output columns is larger than 25, but not if the rest of the query plan is huge.



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