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spark-instrumented-optimizer/sql/hive-thriftserver/v2.3.5
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s71955 163f4a45df [SPARK-26969][SQL] Using ODBC client not able to see the query data when column datatype is decimal 
## What changes were proposed in this pull request?
While processing the Rowdata in the server side ColumnValue BigDecimal type value processed by server has to converted to the HiveDecmal data type for successful processing of query using Hive ODBC client.As per current logic  corresponding to the Decimal column datatype, the Spark server uses BigDecimal, and the ODBC client uses HiveDecimal. If the data type does not match, the client fail to parse

Since this handing was missing the query executed in Hive ODBC client wont return or provides result to the user even though the decimal type column value data present.

## How was this patch tested?

Manual test report and impact assessment is done using existing test-cases

Before fix
![decimal_odbc](https://user-images.githubusercontent.com/12999161/53440179-e74a7f00-3a29-11e9-93db-83f2ae37ef16.PNG)

After Fix
![hive_odbc](https://user-images.githubusercontent.com/12999161/53679519-70e0a200-3cf3-11e9-9437-9c27d2e5056d.PNG)

Closes #23899 from sujith71955/master_decimalissue.

Authored-by: s71955 <sujithchacko.2010@gmail.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
2019-08-12 15:47:59 -07:00
..
if [SPARK-27749][SQL] hadoop-3.2 support hive-thriftserver 2019-06-05 08:40:05 -07:00
src [SPARK-26969][SQL] Using ODBC client not able to see the query data when column datatype is decimal 2019-08-12 15:47:59 -07:00