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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/05/21 04:25:16 UTC
[jira] [Updated] (SPARK-16070) DataFrame/Parquet issues with
primitive arrays
[ https://issues.apache.org/jira/browse/SPARK-16070?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon updated SPARK-16070:
---------------------------------
Labels: bulk-closed (was: )
> 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
> Priority: Major
> Labels: bulk-closed
>
> 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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