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Posted to issues@spark.apache.org by "Dongjoon Hyun (JIRA)" <ji...@apache.org> on 2017/05/26 03:28:04 UTC
[jira] [Commented] (SPARK-19372) Code generation for Filter
predicate including many OR conditions exceeds JVM method size limit
[ https://issues.apache.org/jira/browse/SPARK-19372?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16025749#comment-16025749 ]
Dongjoon Hyun commented on SPARK-19372:
---------------------------------------
Hi, [~kiszk]. I met this failure also.
Is it possible to backport this to 2.2.0?
> Code generation for Filter predicate including many OR conditions exceeds JVM method size limit
> ------------------------------------------------------------------------------------------------
>
> Key: SPARK-19372
> URL: https://issues.apache.org/jira/browse/SPARK-19372
> Project: Spark
> Issue Type: Bug
> Affects Versions: 2.1.0
> Reporter: Jay Pranavamurthi
> Assignee: Kazuaki Ishizaki
> Fix For: 2.3.0
>
> Attachments: wide400cols.csv
>
>
> For the attached csv file, the code below causes the exception "org.codehaus.janino.JaninoRuntimeException: Code of method "(Lorg/apache/spark/sql/catalyst/InternalRow;)Z" of class "org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificPredicate" grows beyond 64 KB
> Code:
> {code:borderStyle=solid}
> val conf = new SparkConf().setMaster("local[1]")
> val sqlContext = SparkSession.builder().config(conf).getOrCreate().sqlContext
> val dataframe =
> sqlContext
> .read
> .format("com.databricks.spark.csv")
> .load("wide400cols.csv")
> val filter = (0 to 399)
> .foldLeft(lit(false))((e, index) => e.or(dataframe.col(dataframe.columns(index)) =!= s"column${index+1}"))
> val filtered = dataframe.filter(filter)
> filtered.show(100)
> {code}
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