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https://issues.apache.org/jira/browse/BAHIR-180?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16743112#comment-16743112
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ASF GitHub Bot commented on BAHIR-180:
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GitHub user eskabetxe opened a pull request:
https://github.com/apache/bahir-flink/pull/40
[BAHIR-180] changes to improve eventual consistence
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/eskabetxe/bahir-flink BAHIR-180_newVersion
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/bahir-flink/pull/40.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #40
----
commit d9c969076a349bf592729d10a2cb9acb1a99743e
Author: eskabetxe <boto@...>
Date: 2019-01-15T12:05:29Z
BAHIR-180: added serialization and change eventual time
commit f875ae2118c452050e8401ec3fd7f93918cf25da
Author: eskabetxe <boto@...>
Date: 2019-01-15T12:15:30Z
BAHIR-180: added serialization and change eventual time
commit 9ce5b32d352864c946bb73a8c0b628097db5a7f6
Author: eskabetxe <boto@...>
Date: 2019-01-15T12:31:25Z
BAHIR-180: added serialization and change eventual time
commit cb9fbda0f3f7b4216be81756ed7e5c71aeab95f0
Author: eskabetxe <boto@...>
Date: 2019-01-15T14:11:04Z
BAHIR-180: added serialization and change eventual time
commit c35ff0112111ddaab400ce76f2d78610b4595597
Author: eskabetxe <boto@...>
Date: 2019-01-15T14:17:42Z
BAHIR-180: added serialization and change eventual time
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> kudu connector improve real-time data performance
> -------------------------------------------------
>
> Key: BAHIR-180
> URL: https://issues.apache.org/jira/browse/BAHIR-180
> Project: Bahir
> Issue Type: Improvement
> Components: Flink Streaming Connectors
> Affects Versions: Flink-1.0
> Reporter: mei jie
> Assignee: Joao Boto
> Priority: Major
> Fix For: Flink-Next
>
>
> kudu connector has poof performance to write real-time data with either
> strong consistency or eventual consistency. at my environment(3server with
> 250G memory, 5 disk, and the parallelism of flink is 60), the speed is about
> 20,000/s.
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