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https://issues.apache.org/jira/browse/FLINK-14249?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Jingsong Lee updated FLINK-14249:
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Description:
A partition is a division of a logical database or its constituent elements
into distinct independent parts. Database partitioning is normally done for
manageability, performance or availability reasons, or for load balancing.
Partition is widely used in hive. Especially in the ETL domain, most tables
have partition attributes, which allow users to continue processing. Partition
is more convenient for data management, time partitioning and business
partitioning are common.
We have supported a basic version for Flink table partitioning at 1.9 release,
and this JIRA aims to improve partitioning support.
See
[https://cwiki.apache.org/confluence/display/FLINK/FLIP-63%3A+Rework+table+partition+support]
was:
A partition is a division of a logical database or its constituent elements
into distinct independent parts. Database partitioning is normally done for
manageability, performance or availability reasons, or for load balancing.
Partition is widely used in hive. Especially in the ETL domain, most tables
have partition attributes, which allow users to continue processing. Partition
is more convenient for data management, time partitioning and business
partitioning are common.
We have supported a basic version for Flink table partitioning at 1.9 release,
and this JIRA aims to improve partitioning support.
See
[https://cwiki.apache.org/confluence/display/FLINK/FLIP-51%3A+Rework+of+the+Expression+Design]
> Rework table partition support
> ------------------------------
>
> Key: FLINK-14249
> URL: https://issues.apache.org/jira/browse/FLINK-14249
> Project: Flink
> Issue Type: Improvement
> Components: Table SQL / Planner
> Reporter: Jingsong Lee
> Priority: Major
> Fix For: 1.10.0
>
>
> A partition is a division of a logical database or its constituent elements
> into distinct independent parts. Database partitioning is normally done for
> manageability, performance or availability reasons, or for load balancing.
> Partition is widely used in hive. Especially in the ETL domain, most tables
> have partition attributes, which allow users to continue processing.
> Partition is more convenient for data management, time partitioning and
> business partitioning are common.
> We have supported a basic version for Flink table partitioning at 1.9
> release, and this JIRA aims to improve partitioning support.
> See
> [https://cwiki.apache.org/confluence/display/FLINK/FLIP-63%3A+Rework+table+partition+support]
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