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From "Sean Owen (JIRA)" <>
Subject [jira] [Commented] (SPARK-22226) Code generation fails for dataframes with 10000 columns
Date Mon, 09 Oct 2017 15:05:01 GMT


Sean Owen commented on SPARK-22226:

If it's truly different I'd try to edit the title/description to separate it from the issue
of just having 10000+ cols. I'd also check with the people working on the PR about your change,
if possible. If it's really something else reopen this one.

> Code generation fails for dataframes with 10000 columns
> -------------------------------------------------------
>                 Key: SPARK-22226
>                 URL:
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 2.2.0
>            Reporter: Marco Gaido
> Code generation for very wide datasets can fail because of the Constant Pool limit reached.
> This can be caused by many reasons. One of them is that we are currently splitting the
definition of the generated methods among several {{NestedClass}} but all these methods are
called in the main class. Since we have entries added to the constant pool for each method
invocation, this is limiting the number of rows and is leading for very wide dataset to:
> {noformat}
> org.codehaus.janino.JaninoRuntimeException: Constant pool for class org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificMutableProjection
has grown past JVM limit of 0xFFFF
> {noformat}

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