[ https://issues.apache.org/jira/browse/SPARK-6195?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Cheng Lian updated SPARK-6195: ------------------------------ 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. -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org