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Posted to issues@spark.apache.org by "Xiangrui Meng (JIRA)" <ji...@apache.org> on 2016/04/22 18:42:13 UTC
[jira] [Updated] (SPARK-14850) VectorUDT/MatrixUDT should take
primitive arrays without boxing
[ https://issues.apache.org/jira/browse/SPARK-14850?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Xiangrui Meng updated SPARK-14850:
----------------------------------
Description:
In SPARK-9390, we switched to use GenericArrayData to store indices and values in vector/matrix UDTs. However, GenericArrayData is not specialized for primitive types. This might hurt MLlib performance badly. We should consider either specialize GenericArrayData or use a different container.
cc: [~cloud_fan] [~yhuai]
was:In SPARK-9390, we switched to use GenericArrayData to store indices and values in vector/matrix UDTs. However, GenericArrayData is not specialized for primitive types. This might hurt MLlib performance badly. We should consider either specialize GenericArrayData or use a different container.
> VectorUDT/MatrixUDT should take primitive arrays without boxing
> ---------------------------------------------------------------
>
> Key: SPARK-14850
> URL: https://issues.apache.org/jira/browse/SPARK-14850
> Project: Spark
> Issue Type: Improvement
> Components: ML, SQL
> Affects Versions: 1.6.1, 2.0.0
> Reporter: Xiangrui Meng
> Priority: Critical
>
> In SPARK-9390, we switched to use GenericArrayData to store indices and values in vector/matrix UDTs. However, GenericArrayData is not specialized for primitive types. This might hurt MLlib performance badly. We should consider either specialize GenericArrayData or use a different container.
> cc: [~cloud_fan] [~yhuai]
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