Exception in thread "main" java.lang.OutOfMemoryError: Java heap space
at java.util.Arrays.copyOf(Arrays.java:2367)
at
java.lang.AbstractStringBuilder.expandCapacity(AbstractStringBuilder.java:130)
at
java.lang.AbstractStringBuilder.ensureCapacityInternal(AbstractStringBuilder.java:114)
at
java.lang.AbstractStringBuilder.append(AbstractStringBuilder.java:415)
at java.lang.StringBuilder.append(StringBuilder.java:132)
at scala.StringContext.standardInterpolator(StringContext.scala:123)
at scala.StringContext.s(StringContext.scala:90)
at
org.apache.spark.sql.SQLContext$QueryExecution.toString(SQLContext.scala:947)
at
org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:52)
at
org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelation.run(InsertIntoHadoopFsRelation.scala:108)
at
org.apache.spark.sql.execution.ExecutedCommand.sideEffectResult$lzycompute(commands.scala:57)
at
org.apache.spark.sql.execution.ExecutedCommand.sideEffectResult(commands.scala:57)
at
org.apache.spark.sql.execution.ExecutedCommand.doExecute(commands.scala:69)
at
org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$5.apply(SparkPlan.scala:140)
at
org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$5.apply(SparkPlan.scala:138)
at
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:147)
at
org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:138)
at
org.apache.spark.sql.SQLContext$QueryExecution.toRdd$lzycompute(SQLContext.scala:933)
at
org.apache.spark.sql.SQLContext$QueryExecution.toRdd(SQLContext.scala:933)
at
org.apache.spark.sql.execution.datasources.ResolvedDataSource$.apply(ResolvedDataSource.scala:197)
at
org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:146)
at
org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:137)
at
org.apache.spark.sql.DataFrameWriter.parquet(DataFrameWriter.scala:304)
I have a dataframe which I am running a ton of filters on. When I try to
save it, my job runs out of memory.
Any idea how can I fix this?
