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https://issues.apache.org/jira/browse/HUDI-1936?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17396909#comment-17396909
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ASF GitHub Bot commented on HUDI-1936:
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vinothchandar commented on pull request #3035:
URL: https://github.com/apache/hudi/pull/3035#issuecomment-896336864
In some sense, with the Spark SQL support now, python users can do custom
merges? does that satisfy your requirements?
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> Introduce a optional property for conditional upsert
> -----------------------------------------------------
>
> Key: HUDI-1936
> URL: https://issues.apache.org/jira/browse/HUDI-1936
> Project: Apache Hudi
> Issue Type: New Feature
> Components: Common Core, Compaction
> Reporter: Biswajit mohapatra
> Assignee: Biswajit mohapatra
> Priority: Minor
> Labels: features, pull-request-available
> Fix For: 0.9.0
>
>
> If anyone wants to use custom upsert logic then they have to override the
> Latest avro payload class which is only possible in java or scala .
> Python developers have no such option .
> Will be introducing a new payload class and a new key which can work in java
> , scala and python
> This class will be responsible for custom upsert logic and a new key
> hoodie.update.key which will accept the columns which only need to be updated
>
> "hoodie.update.keys": "admission_date,name", #comma seperated key
> "hoodie.datasource.write.payload.class": "com.hudiUpsert.hudiCustomUpsert"
> #custom upsert key
>
> so this will only update the column admission_date and name in the target
> table
>
>
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