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https://issues.apache.org/jira/browse/DRILL-4373?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15937343#comment-15937343
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Rahul Challapalli commented on DRILL-4373:
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Thanks [~knguyen] For 3 and 4 we can use 
'`store.parquet.reader.int96_as_timestamp`=true/false.' for testing. Also do 
you know if we can somehow enable the configuration option in a view? (table 
option?) Otherwise the end user experience will not be good as they have to 
know which table is generated from hive and which from drill. By having a view 
which defines how to interpret the timestamp column, then end users can be 
de-coupled from this knowledge. What do you think?

> Drill and Hive have incompatible timestamp representations in parquet
> ---------------------------------------------------------------------
>
>                 Key: DRILL-4373
>                 URL: https://issues.apache.org/jira/browse/DRILL-4373
>             Project: Apache Drill
>          Issue Type: Improvement
>          Components: Storage - Hive, Storage - Parquet
>    Affects Versions: 1.8.0
>            Reporter: Rahul Challapalli
>            Assignee: Vitalii Diravka
>              Labels: doc-impacting
>             Fix For: 1.10.0
>
>
> git.commit.id.abbrev=83d460c
> I created a parquet file with a timestamp type using Drill. Now if I define a 
> hive table on top of the parquet file and use "timestamp" as the column type, 
> drill fails to read the hive table through the hive storage plugin
> Implementation: 
> Added int96 to timestamp converter for both parquet readers and controling it 
> by system / session option "store.parquet.int96_as_timestamp".
> The value of the option is false by default for the proper work of the old 
> query scripts with the "convert_from TIMESTAMP_IMPALA" function.
> When the option is true using of that function is unnesessary and can lead to 
> the query fail.



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