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https://issues.apache.org/jira/browse/SPARK-28589?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiao Li updated SPARK-28589:
----------------------------
    Summary: Introduce a new type coercion mode by following PostgreSQL  (was: 
Follow the type conversion rules of PostgreSQL)

> Introduce a new type coercion mode by following PostgreSQL
> ----------------------------------------------------------
>
>                 Key: SPARK-28589
>                 URL: https://issues.apache.org/jira/browse/SPARK-28589
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>    Affects Versions: 3.0.0
>            Reporter: Gengliang Wang
>            Priority: Major
>         Attachments: postgreSQL_type_conversion.txt
>
>
> The type conversion in current Spark can be improved by learning from 
> PostgreSQL:
> 1. The table insertion should disallow certain type conversions(string -> 
> int), see 
> https://docs.google.com/document/d/1b9nnWWbKVDRp7lpzhQS1buv1_lDzWIZY2ApFs5rBcGI/edit#heading=h.82w8qxfl2uwl
> 2. Spark should return null result on cast an out-of-range value to an 
> integral type, instead of returning a value with lower bits.
> 3. We can have a new optional mode: throw runtime exceptions on casting 
> failures
> 4. improve the implicit casting
> etc..



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