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https://issues.apache.org/jira/browse/HUDI-2144?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Udit Mehrotra resolved HUDI-2144.
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Fix Version/s: 0.9.0
Resolution: Fixed
> Offline clustering(independent sparkJob) will cause insert action losing data
> -----------------------------------------------------------------------------
>
> Key: HUDI-2144
> URL: https://issues.apache.org/jira/browse/HUDI-2144
> Project: Apache Hudi
> Issue Type: Bug
> Reporter: Yue Zhang
> Priority: Major
> Labels: pull-request-available
> Fix For: 0.9.0
>
> Attachments: image-2021-07-08-13-52-00-089.png
>
>
> For now we have two kinds of pipeline for Hudi using spark:
> # Streaming insert data to specific partition
> # Offline clustering spark
> job(`org.apache.hudi.utilities.HoodieClusteringJob`) to optimize file size
> pipeline 1 created
> But here is a bug we met that will lose data
> These steps can make the problem reproduce stably ：
> # Submit a spark job to Ingest data1 using insert mode.
> # Schedule a clustering plan using
> `org.apache.hudi.utilities.HoodieClusteringJob`
> # Submit a spark job again to Ingest data2 using insert mode(Ensure that
> there is new file slice created in the same file group which means small file
> tuning for insert is working). Suppose this file group is called file group 1
> and new file slice is called file slice 2.
> # Execute that clustering job step2 planed.
> # Query data1+data2 you will find new data for a is lost compared with
> common ingestion without clustering
>
> !image-2021-07-08-13-52-00-089.png|width=922,height=728!
> Here is the root cause:
> When ingest data using insert mode, Hudi will find small files and try to
> append new data to them ,aiming to tuning data file size.
> [https://github.com/apache/hudi/blob/650c4455c600b0346fed8b5b6aa4cc0bf3452e8c/hudi-client/hudi-spark-client/src/main/java/org/apache/hudi/table/action/commit/UpsertPartitioner.java#L149]
> is try to filter Small Files In Clustering but only works when user set
> `hoodie.clustering.inline` true which is not good enough when users using
> offline clustering.
> I just raise a PR try to fix it and tested.
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