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Posted to issues@spark.apache.org by "Shiva Sankari Perambalam (JIRA)" <ji...@apache.org> on 2019/02/21 23:43:00 UTC

[jira] [Updated] (SPARK-26962) Windows Function LEAD in Spark SQL is not fetching consistent results.

     [ https://issues.apache.org/jira/browse/SPARK-26962?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Shiva Sankari Perambalam updated SPARK-26962:
---------------------------------------------
    Description: 
Using a Lead function on a DATETIME column is giving inconsistent results in Spark sql.
{code:java}
Lead(date) over (partition by id, code order by date){code}
where Date is DATETIME, id and code is a String.
{code:java}
val testdf1= sparkSession.sql(s""" select date, lead(date) over (partition by id, code order by date) as lead_date from <SOME_VIEW>"""){code}
The result set is sometimes having the same data as the date instead of the lead_date

 

  was:
Using a Lead function on a DATETIME column is giving inconsistent results in Spark sql.
{code:java}
Lead(date) over (partition by id, code order by date){code}
where Date is DATETIME, id and code is a String.
{code:java}
val testdf1= sparkSession.sql(s""" select date, Lead(date) over (partition by id, code order by date) as lead_date from <SOME_VIEW>"""){code}
The result set is sometimes having the same data as the date instead of the lead_date

 


> Windows Function LEAD in Spark SQL is not fetching consistent results.
> ----------------------------------------------------------------------
>
>                 Key: SPARK-26962
>                 URL: https://issues.apache.org/jira/browse/SPARK-26962
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 2.4.0
>            Reporter: Shiva Sankari Perambalam
>            Priority: Major
>
> Using a Lead function on a DATETIME column is giving inconsistent results in Spark sql.
> {code:java}
> Lead(date) over (partition by id, code order by date){code}
> where Date is DATETIME, id and code is a String.
> {code:java}
> val testdf1= sparkSession.sql(s""" select date, lead(date) over (partition by id, code order by date) as lead_date from <SOME_VIEW>"""){code}
> The result set is sometimes having the same data as the date instead of the lead_date
>  



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