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From "Marco Gaido (JIRA)" <j...@apache.org>
Subject [jira] [Created] (SPARK-22226) Code generation fails for dataframes with 10000 columns
Date Mon, 09 Oct 2017 14:00:09 GMT
Marco Gaido created SPARK-22226:
-----------------------------------

             Summary: Code generation fails for dataframes with 10000 columns
                 Key: SPARK-22226
                 URL: https://issues.apache.org/jira/browse/SPARK-22226
             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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