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https://issues.apache.org/jira/browse/SPARK-16070?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15350005#comment-15350005
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Kazuaki Ishizaki commented on SPARK-16070:
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I added two JIRA entries, which address DataFrame issues with primitive arrays,
SPARK-16213 and SPARK-16215.
> DataFrame/Parquet issues with primitive arrays
> ----------------------------------------------
>
> Key: SPARK-16070
> URL: https://issues.apache.org/jira/browse/SPARK-16070
> Project: Spark
> Issue Type: Umbrella
> Components: MLlib, SQL
> Affects Versions: 2.0.0
> Reporter: Xiangrui Meng
>
> I created this umbrella JIRA to track DataFrame/Parquet issues with primitive
> arrays. This is mostly related to machine learning use cases, where feature
> indices/values are stored as (usually large) primitive arrays.
> Issues:
> * SPARK-16043: Tungsten array data is not specialized for primitive types
> * SPARK-16071: Not sufficient array size checks
> ([NegativeArraySizeException|https://issues.apache.org/jira/issues/?jql=project%20%3D%20SPARK%20AND%20text%20~%20NegativeArraySizeException]
> or silent errors)
> * SPARK-16073: Performance of Parquet encodings on saving primitive arrays
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