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https://issues.apache.org/jira/browse/SPARK-28512?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Gengliang Wang updated SPARK-28512:
-----------------------------------
Description:
In popular DBMS like MySQL/PostgreSQL/Oracle, runtime exceptions are thrown on
casting, e.g. cast('abc' as boolean)
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.
This one has a bigger scope than
https://issues.apache.org/jira/browse/SPARK-28741
> 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 boolean)
> 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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