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Posted to issues@spark.apache.org by "David Jung (JIRA)" <ji...@apache.org> on 2016/08/24 14:28:20 UTC
[jira] [Commented] (SPARK-16845)
org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificOrdering"
grows beyond 64 KB
[ https://issues.apache.org/jira/browse/SPARK-16845?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15435016#comment-15435016 ]
David Jung commented on SPARK-16845:
------------------------------------
In addition to receiving this error when attempting to call pyspark.ml.regression.RandomForestRegressor.fit() on a DataFrame with 700+ columns, we also see it when just calling DataFrame.show() on the same wide DataFrame. Our modeling requires many thousands of features, so this is a blocking issue for mllib for us.
I'll see if digging into it further can shed any further light on it.
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificOrdering" grows beyond 64 KB
> ---------------------------------------------------------------------------------------------
>
> Key: SPARK-16845
> URL: https://issues.apache.org/jira/browse/SPARK-16845
> Project: Spark
> Issue Type: Bug
> Components: Java API, ML, MLlib
> Affects Versions: 2.0.0
> Reporter: hejie
>
> I have a wide table(400 columns), when I try fitting the traindata on all columns, the fatal error occurs.
> ... 46 more
> Caused by: org.codehaus.janino.JaninoRuntimeException: Code of method "(Lorg/apache/spark/sql/catalyst/InternalRow;Lorg/apache/spark/sql/catalyst/InternalRow;)I" of class "org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificOrdering" grows beyond 64 KB
> at org.codehaus.janino.CodeContext.makeSpace(CodeContext.java:941)
> at org.codehaus.janino.CodeContext.write(CodeContext.java:854)
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