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

["Ameer Basha Pattan (JIRA)" <ji...@apache.org>]

Ameer Basha Pattan created SPARK-27595:
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             Summary: 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


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';

/user/hive/warehouse/reservation.db/unique_keys contains data like below:

/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

 

If I try to read orc files through Spark, 

val masterDF = hiveContext.read.orc("/user/hive/warehouse/reservation.db/unique_keys")

source value getting changed to *7.0 and 8.0* for 7F and 8D respectively.

 



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