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https://issues.apache.org/jira/browse/FLINK-36769?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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xingyuan cheng updated FLINK-36769:
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Docs Text: https://github.com/apache/flink/pull/25672
External issue URL: (was: https://github.com/apache/flink/pull/25672)
Environment: flink 1.16.1
> Suport fury Serializer for pyflink
> ----------------------------------
>
> Key: FLINK-36769
> URL: https://issues.apache.org/jira/browse/FLINK-36769
> Project: Flink
> Issue Type: New Feature
> Components: API / Python
> Affects Versions: 1.16.1
> Environment: flink 1.16.1
> Reporter: xingyuan cheng
> Priority: Major
>
> Hi, community. Currently, in the batch verification scenario of our algorithm
> data, we use pyflink and encounter low transmission efficiency caused by low
> performance of pickle4-based encoding. After research, we decided to adopt
> Apache fury, a serialization framework based on pickle5 encoding. The
> implementation of fury in python will define the transmission buffer size in
> the protocol for transmission to improve the performance of large data
> transmission. To this end, I Prepared a draft pull request. What do friends
> in the community think about this?
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