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Posted to commits@hudi.apache.org by "Danny Chen (Jira)" <ji...@apache.org> on 2022/05/10 02:26:00 UTC

[jira] [Commented] (HUDI-4044) When reading data from flink-hudi to external storage, the result is incorrect

    [ https://issues.apache.org/jira/browse/HUDI-4044?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17534085#comment-17534085 ] 

Danny Chen commented on HUDI-4044:
----------------------------------

Fixed via master branch: 6fd21d0f1043d0a06b93332d86e63d7b708fcbe8

> When reading data from flink-hudi to external storage, the result is incorrect
> ------------------------------------------------------------------------------
>
>                 Key: HUDI-4044
>                 URL: https://issues.apache.org/jira/browse/HUDI-4044
>             Project: Apache Hudi
>          Issue Type: Bug
>          Components: flink
>    Affects Versions: 0.11.0
>            Reporter: yanxiang
>            Priority: Major
>              Labels: pull-request-available
>             Fix For: 0.11.1, 0.12.0
>
>
> When reading data from flink-hudi to external storage, the result is incorrect  because of concurrency issues:
>  
> Here's the  case:
>  
> There is a split_monitor task that listens for changes on the TimeLine every N seconds; There are four split_reader tasks for processing changing data and sinking data to external storage:
>  
> (1) First,split_monitor listens to Instance1 changes , and the corresponding fileId is log1. Split_monitor distributes the fileId information to split_reader task 1 in Rebanlance mode for processing.
>  
> (2) then,split_monitor listens for Instance2 change . The corresponding fileId is log1 (assuming that the changed data have the same primary key ). The split_monitor task distributes fileId information to split_reader task 2 in Rebanlance mode for processing.
>  
> (3) Split_reader task 1 and split_reader task 2 process the same primary key data, and their processing speeds are inconsistent. As a result, the sequence of data sink to external storage is inconsistent. The data modified earlier overwrites the data modified later, resulting in incorrect data.
>  
>  
> Solution:
> After the split_monitor task monitors the data changes, it distributes them to the split_reader task through the FileId Hash mode to ensure that the same FileId files are processed in the same split_reader task, thus solving this problem .



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