[
https://issues.apache.org/jira/browse/FLINK-11425?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Flink Jira Bot updated FLINK-11425:
-----------------------------------
Labels: auto-deprioritized-major auto-unassigned stale-minor (was:
auto-deprioritized-major auto-unassigned)
I am the [Flink Jira Bot|https://github.com/apache/flink-jira-bot/] and I help
the community manage its development. I see this issues has been marked as
Minor but is unassigned and neither itself nor its Sub-Tasks have been updated
for 180 days. I have gone ahead and marked it "stale-minor". If this ticket is
still Minor, please either assign yourself or give an update. Afterwards,
please remove the label or in 7 days the issue will be deprioritized.
> Support of “Hash Teams” in Hybrid Hash Join
> -------------------------------------------
>
> Key: FLINK-11425
> URL: https://issues.apache.org/jira/browse/FLINK-11425
> Project: Flink
> Issue Type: New Feature
> Components: Table SQL / Runtime
> Reporter: Ji Liu
> Priority: Minor
> Labels: auto-deprioritized-major, auto-unassigned, stale-minor
>
> Hybrid Hash Join is already supported in current version. The join starts
> operating in memory and gradually starts spilling contents to disk, when the
> memory is not sufficient.
>
> Current hash join only support two inputs, so when a job contains multiple
> hash joins which have the same join keys, it will consume some unnecessary
> resources (I/O, memory, etc) because some upstream output data may useless
> for downstream hash join.
>
> According to the above observations, we want to provide a HashTeamManager to
> implement multiway inputs hash join by combining several two way hash join
> which have same join keys. HashTeamManager manage the relations of multiple
> HashTables and improve efficiency in memory use and lower I/O operations by
> joining multiple relations at one time.
--
This message was sent by Atlassian Jira
(v8.20.1#820001)
