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https://issues.apache.org/jira/browse/SPARK-18207?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15628338#comment-15628338
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Sean Owen commented on SPARK-18207:
-----------------------------------
SPARK-16845 is unresolved and this seems to be exactly the same issue. Why open
another jIRA?
> class
> "org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificUnsafeProjection"
> grows beyond 64 KB
> ------------------------------------------------------------------------------------------------------------
>
> Key: SPARK-18207
> URL: https://issues.apache.org/jira/browse/SPARK-18207
> Project: Spark
> Issue Type: Bug
> Components: Optimizer, SQL
> Affects Versions: 2.0.1, 2.1.0
> Reporter: Don Drake
> Attachments: spark-18207.txt
>
>
> I have 2 wide dataframes that contain nested data structures, when I explode
> one of the dataframes, it doesn't include records with an empty nested
> structure (outer explode not supported). So, I create a similar dataframe
> with null values and union them together. See SPARK-13721 for more details
> as to why I have to do this.
> I was hoping that SPARK-16845 was going to address my issue, but it does not.
> I was asked by [~lwlin] to open this JIRA.
> I will attach a code snippet that can be pasted into spark-shell that
> duplicates my code and the exception. This worked just fine in Spark 1.6.x.
> {code}
> org.apache.spark.SparkException: Job aborted due to stage failure: Task 35 in
> stage 5.0 failed 4 times, most recent failure: Lost task 35.3 in stage 5.0
> (TID 812, somehost.mydomain.com, executor 8):
> java.util.concurrent.ExecutionException: java.lang.Exception: failed to
> compile: org.codehaus.janino.JaninoRuntimeException: Code of method
> "apply(Lorg/apache/spark/sql/catalyst/InternalRow;)Lorg/apache/spark/sql/catalyst/expressions/UnsafeRow;"
> of class
> "org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificUnsafeProjection"
> grows beyond 64 KB
> {code}
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