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https://issues.apache.org/jira/browse/SPARK-6195?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Cheng Lian updated SPARK-6195:
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Description: When building in-memory columnar representation, decimal
values are currently serialized via a generic serializer, which is
unnecessarily slow. Since some decimals (precision < 19) can be represented as
annotated long values, we should add a specialized fixed-precision decimal
column type to speed up in-memory decimal serialization. (was: When building
in-memory columnar representation, decimal values are currently serialized via
a generic serializer, which is unnecessarily slow. Since decimals are actually
annotated long values, we should add a specialized decimal column type to speed
up in-memory decimal serialization.)
> Specialized in-memory column type for decimal
> ---------------------------------------------
>
> Key: SPARK-6195
> URL: https://issues.apache.org/jira/browse/SPARK-6195
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 1.1.1, 1.3.0, 1.2.1
> Reporter: Cheng Lian
> Assignee: Cheng Lian
> Fix For: 1.4.0
>
>
> When building in-memory columnar representation, decimal values are currently
> serialized via a generic serializer, which is unnecessarily slow. Since some
> decimals (precision < 19) can be represented as annotated long values, we
> should add a specialized fixed-precision decimal column type to speed up
> in-memory decimal serialization.
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