[jira] [Updated] (SPARK-27595) Spark couldn't read partitioned(string type) Orc column correctly if the value contains Float/Double value

["Hyukjin Kwon (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-27595?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon updated SPARK-27595:
---------------------------------
    Priority: Major  (was: Critical)

> Spark couldn't read partitioned(string type) Orc column correctly if the value contains Float/Double value
> ----------------------------------------------------------------------------------------------------------
>
>                 Key: SPARK-27595
>                 URL: https://issues.apache.org/jira/browse/SPARK-27595
>             Project: Spark
>          Issue Type: Bug
>          Components: Spark Core
>    Affects Versions: 1.6.0
>            Reporter: Ameer Basha Pattan
>            Priority: Major
>
> {code}
> create external table unique_keys (
>  key string
>  ,locator_id string
>  , create_date string
>  , sequence int
>  )
>  partitioned by (source string)
>  stored as orc location '/user/hive/warehouse/reservation.db/unique_keys';
> {code}
> {{/user/hive/warehouse/reservation.db/unique_keys}} contains data like below:
> {code}
> /user/hive/warehouse/reservation.db/unique_keys/source=6S
> /user/hive/warehouse/reservation.db/unique_keys/source=7F
> /user/hive/warehouse/reservation.db/unique_keys/source=7H
> /user/hive/warehouse/reservation.db/unique_keys/source=8D
> {code} 
> If I try to read orc files through Spark, 
> {code}
> val masterDF = hiveContext.read.orc("/user/hive/warehouse/reservation.db/unique_keys")
> {code}
> source value getting changed to *7.0 and 8.0* for 7F and 8D respectively.
>  



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