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https://issues.apache.org/jira/browse/HUDI-5601?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Rahil Chertara updated HUDI-5601:
---------------------------------
    Description: 
 

Currently it seems that when a user tries to add a partition to their table 
using `spark.sql("alter table hudi_table add partition(year='2021')")` and then 
run a `show partition`, nothing is returned. When running the command 
`spark.sql("msck repair table hudi_table").show(20)` nothing is returned as 
well. 

I believe in hudi we have not integrated this with the external catalog (hive 
metastore), and thus we should look into this integration. 

scala> spark.sql("SHOW PARTITIONS hudi_table ").show(20)

+---------+ |partition|

+--------{-}{-}+ +--------+

 

 

  was:
 

Currently it seems that when a user tries to add a partition to their table 
using `spark.sql("alter table hudi_table add partition(year='2021')")` and then 
run a `show partition`, nothing is returned. I believe in hudi we have not 
integrated this with the external catalog (hive metastore), and thus we should 
look into this integration. 

 

scala> spark.sql("SHOW PARTITIONS hudi_table ").show(20)

+---------+ |partition|

+---------+ +---------+


> Support for commands ALTER TABLE ADD PARTITION, and MSCK REPAIR
> ---------------------------------------------------------------
>
>                 Key: HUDI-5601
>                 URL: https://issues.apache.org/jira/browse/HUDI-5601
>             Project: Apache Hudi
>          Issue Type: Task
>            Reporter: Rahil Chertara
>            Priority: Major
>
>  
> Currently it seems that when a user tries to add a partition to their table 
> using `spark.sql("alter table hudi_table add partition(year='2021')")` and 
> then run a `show partition`, nothing is returned. When running the command 
> `spark.sql("msck repair table hudi_table").show(20)` nothing is returned as 
> well. 
> I believe in hudi we have not integrated this with the external catalog (hive 
> metastore), and thus we should look into this integration. 
> scala> spark.sql("SHOW PARTITIONS hudi_table ").show(20)
> +---------+ |partition|
> +--------{-}{-}+ +--------+
>  
>  



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