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

2019-04-30 Thread Hyukjin Kwon (JIRA)


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

2019-04-30 Thread Hyukjin Kwon (JIRA)


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

Hyukjin Kwon updated SPARK-27595:
-
Description: 
{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.

 

  was:
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.

 


> 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: Critical
>
> {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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