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https://issues.apache.org/jira/browse/SPARK-8421?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Reynold Xin closed SPARK-8421.
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Resolution: Duplicate
Closing this one in favor of SPARK-8186, which is part of the umbrella ticket
to add all the date functions.
> Spark SQL DATE_ADD function - Spark 1.3.1 & 1.4.0
> -------------------------------------------------
>
> Key: SPARK-8421
> URL: https://issues.apache.org/jira/browse/SPARK-8421
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.3.1, 1.4.0
> Reporter: Nathan McCarthy
> Priority: Minor
>
> Running with a parquet backed table in hive ‘dim_promo_date_curr_p' which has
> the following data;
> scala> sqlContext.sql("select * from pz.dim_promo_date_curr_p").show(3)
> 15/06/18 00:53:21 INFO ParseDriver: Parsing command: select * from
> pz.dim_promo_date_curr_p
> 15/06/18 00:53:21 INFO ParseDriver: Parse Completed
> |clndr_date|pw_start_date|pw_end_date|
> |2015-02-18| 2015-02-18| 2015-02-24|
> |2015-11-13| 2015-11-11| 2015-11-17|
> |2015-03-31| 2015-03-25| 2015-03-31|
> |2015-07-21| 2015-07-15| 2015-07-21|
> Running a query from Spark 1.4 shell with the sqlContext (hive) with date_add
> it seems to work except for the value from the table. I’ve only seen it on
> the 31st of March, no other dates;
> scala> sqlContext.sql("SELECT DATE_ADD(CLNDR_DATE, 7) as wrong,
> DATE_ADD('2015-03-30', 7) as right30, DATE_ADD('2015-03-31', 7) as right31,
> DATE_ADD('2015-04-01', 7) as right01 FROM pz.dim_promo_date_curr_p WHERE
> CLNDR_DATE='2015-03-31'").show
> 15/06/18 00:57:32 INFO ParseDriver: Parsing command: SELECT
> DATE_ADD(CLNDR_DATE, 7) as wrong, DATE_ADD('2015-03-30', 7) as right30,
> DATE_ADD('2015-03-31', 7) as right31, DATE_ADD('2015-04-01', 7) as right01
> FROM pz.dim_promo_date_curr_p WHERE CLNDR_DATE='2015-03-31'
> 15/06/18 00:57:32 INFO ParseDriver: Parse Completed
> | wrong| right30| right31| right01|
> |2015-04-06|2015-04-06|2015-04-07|2015-04-08|
> It seems to miss a date, even though the where clause has 31st in it. When
> the date is just a string the select clause seems to work fine. Problem
> appears in Spark 1.3.1 and Spark 1.4.
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