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From "Gengliang Wang (Jira)" <j...@apache.org>
Subject [jira] [Updated] (SPARK-28512) New optional mode: throw runtime exceptions on casting failures
Date Thu, 22 Aug 2019 12:55:00 GMT

     [ https://issues.apache.org/jira/browse/SPARK-28512?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Gengliang Wang updated SPARK-28512:
-----------------------------------
    Description: 
In popular DBMS like MySQL/PostgreSQL/Oracle, runtime exceptions are thrown on casting, e.g.
cast('abc' as int) 
While in Spark, the result is converted as null silently. It is by design since we don't want
a long-running job aborted by some casting failure. But there are scenarios that users want
to make sure all the data conversion are correct, like the way they use MySQL/PostgreSQL/Oracle.

This one has a bigger scope than https://issues.apache.org/jira/browse/SPARK-28741

  was:
In popular DBMS like MySQL/PostgreSQL/Oracle, runtime exceptions are thrown on casting, e.g.
cast('abc' as int) 
While in Spark, the result is converted as null silently. It is by design since we don't want
a long-running job aborted by some casting failure. But there are scenarios that users want
to make sure all the data conversion are correct, like the way they use MySQL/PostgreSQL/Oracle.

If the changes touch too much code, we can limit the new optional mode to table insertion
first. By default the new behavior is disabled.


> New optional mode: throw runtime exceptions on casting failures
> ---------------------------------------------------------------
>
>                 Key: SPARK-28512
>                 URL: https://issues.apache.org/jira/browse/SPARK-28512
>             Project: Spark
>          Issue Type: Sub-task
>          Components: SQL
>    Affects Versions: 3.0.0
>            Reporter: Gengliang Wang
>            Priority: Major
>
> In popular DBMS like MySQL/PostgreSQL/Oracle, runtime exceptions are thrown on casting,
e.g. cast('abc' as int) 
> While in Spark, the result is converted as null silently. It is by design since we don't
want a long-running job aborted by some casting failure. But there are scenarios that users
want to make sure all the data conversion are correct, like the way they use MySQL/PostgreSQL/Oracle.
> This one has a bigger scope than https://issues.apache.org/jira/browse/SPARK-28741



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