[
https://issues.apache.org/jira/browse/FLINK-12088?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Jark Wu updated FLINK-12088:
----------------------------
Description:
This operator is responsible for unbounded streaming inner/left/right/full
join, and will be optimized in following cases:
# If the join keys (with equality condition) are also primary key, we will have
a more efficient state layout
# If the inputs have primary keys, but join keys are not primary key, we can
also come up with an efficient state layout
# Inputs don't have primary keys, this will go to default implementation
was:
This operator is responsible for unbounded streaming inner join, and will be
optimized in following cases:
# If the join keys (with equality condition) are also primary key, we will have
a more efficient state layout
# If the inputs have primary keys, but join keys are not primary key, we can
also come up with an efficient state layout
# Inputs don't have primary keys, this will go to default implementation
> Introduce unbounded streaming inner/left/right/full join operator
> -----------------------------------------------------------------
>
> Key: FLINK-12088
> URL: https://issues.apache.org/jira/browse/FLINK-12088
> Project: Flink
> Issue Type: Improvement
> Components: Table SQL / Runtime
> Reporter: Kurt Young
> Assignee: Jark Wu
> Priority: Major
>
> This operator is responsible for unbounded streaming inner/left/right/full
> join, and will be optimized in following cases:
> # If the join keys (with equality condition) are also primary key, we will
> have a more efficient state layout
> # If the inputs have primary keys, but join keys are not primary key, we can
> also come up with an efficient state layout
> # Inputs don't have primary keys, this will go to default implementation
--
This message was sent by Atlassian JIRA
(v7.6.3#76005)