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https://issues.apache.org/jira/browse/SPARK-6242?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Cheng Lian resolved SPARK-6242.
-------------------------------
    Resolution: Duplicate

> Support replace (drop) column for parquet table
> -----------------------------------------------
>
>                 Key: SPARK-6242
>                 URL: https://issues.apache.org/jira/browse/SPARK-6242
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 1.3.0
>            Reporter: chirag aggarwal
>            Assignee: Cheng Lian
>
> SPARK-5528 provides a easy way of support for add column to parquet tables. 
> This is done by using the native parquet capability of merging the schema 
> from all the part-files and _common_metadata files.
> But, if someone wants to drop a column from the parquet table, this still 
> does not work. This happens because, the merged schema shall still show the 
> dropped column, but the column is no more there in metastore. So, the 
> schema's obtained from the two sources do not match, and hence any subsequent 
> query on this table fails.
> Instead of checking for exact match between the two schemas, spark should 
> only check if the schema obtained from metastore is subset of parquet merged 
> schema or not. If this check passes, then the columns present in metastore 
> should be allowed to be referred in the query.  



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