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Posted to issues@flink.apache.org by GitBox <gi...@apache.org> on 2022/11/13 16:27:11 UTC

[GitHub] [flink-web] lindong28 commented on a diff in pull request #577: [FLINK-29668] Remove Gelly

lindong28 commented on code in PR #577:
URL: https://github.com/apache/flink-web/pull/577#discussion_r1020930301


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usecases.md:
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@@ -67,7 +67,7 @@ Another aspect is a simpler application architecture. A batch analytics pipeline
 
 ### How does Flink support data analytics applications?
 
-Flink provides very good support for continuous streaming as well as batch analytics. Specifically, it features an ANSI-compliant SQL interface with unified semantics for batch and streaming queries. SQL queries compute the same result regardless whether they are run on a static data set of recorded events or on a real-time event stream. Rich support for user-defined functions ensures that custom code can be executed in SQL queries. If even more custom logic is required, Flink's DataStream API or DataSet API provide more low-level control. Moreover, Flink's Gelly library provides algorithms and building blocks for large-scale and high-performance graph analytics on batch data sets.
+Flink provides very good support for continuous streaming as well as batch analytics. Specifically, it features an ANSI-compliant SQL interface with unified semantics for batch and streaming queries. SQL queries compute the same result regardless whether they are run on a static data set of recorded events or on a real-time event stream. Rich support for user-defined functions ensures that custom code can be executed in SQL queries. If even more custom logic is required, Flink's DataStream API or DataSet API provide more low-level control. 

Review Comment:
   I think the [iteration](https://nightlies.apache.org/flink/flink-ml-docs-stable/docs/development/iteration/) capability supported in Flink ML can not be used to support typical graph processing capabilities (e.g. vertex-centric or gather-sum-apply). And there is currently no plan to support these graph processing capabilities in Flink ML.
   
   So it seems better not to add the paragraph suggested above. 



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