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Hi Aihua,

One small nit, and a question from here.

Thanks,
Peter


standalone-metastore/src/main/java/org/apache/hadoop/hive/metastore/MetaStoreDirectSql.java
Lines 154-158 (original), 154-158 (patched)
<https://reviews.apache.org/r/66188/#comment280197>

    It might be a good idea, to use this around our batching as well:
    - DatabaseProduct.needsInBatching(dbType)
    
    What do you think @Aihua?



standalone-metastore/src/main/java/org/apache/hadoop/hive/metastore/conf/MetastoreConf.java
Lines 842 (patched)
<https://reviews.apache.org/r/66188/#comment280196>

    nit: typo: "queris"


- Peter Vary


On March 21, 2018, 6:57 p.m., Aihua Xu wrote:
> 
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> This is an automatically generated e-mail. To reply, visit:
> https://reviews.apache.org/r/66188/
> -----------------------------------------------------------
> 
> (Updated March 21, 2018, 6:57 p.m.)
> 
> 
> Review request for hive, Alexander Kolbasov and Yongzhi Chen.
> 
> 
> Repository: hive-git
> 
> 
> Description
> -------
> 
> If the table contains a lot of columns e.g, 5k, simple table rename would 
> fail with the following stack trace. The issue is datanucleus can't handle 
> the query with lots of colName='c1' && colName='c2' && ... .
> 
> I'm breaking the query into multiple smaller queries and then we aggregate 
> the result together.
> 
> 
> Diffs
> -----
> 
>   ql/src/test/queries/clientpositive/alter_rename_table.q 2061850540 
>   ql/src/test/results/clientpositive/alter_rename_table.q.out 732d8a28d8 
>   
> standalone-metastore/src/main/java/org/apache/hadoop/hive/metastore/Batchable.java
>  PRE-CREATION 
>   
> standalone-metastore/src/main/java/org/apache/hadoop/hive/metastore/MetaStoreDirectSql.java
>  6ead20aeaf 
>   
> standalone-metastore/src/main/java/org/apache/hadoop/hive/metastore/ObjectStore.java
>  88d88ed4df 
>   
> standalone-metastore/src/main/java/org/apache/hadoop/hive/metastore/conf/MetastoreConf.java
>  9f822564bd 
> 
> 
> Diff: https://reviews.apache.org/r/66188/diff/2/
> 
> 
> Testing
> -------
> 
> Manual test has been done for large column of tables.
> 
> 
> Thanks,
> 
> Aihua Xu
> 
>

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