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Posted to issues@spark.apache.org by "Gengliang Wang (JIRA)" <ji...@apache.org> on 2019/08/01 07:33:01 UTC

[jira] [Updated] (SPARK-28589) Follow the type conversion rules of PostgreSQL

     [ https://issues.apache.org/jira/browse/SPARK-28589?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Gengliang Wang updated SPARK-28589:
-----------------------------------
    Attachment: type_conversion.txt

> Follow the type conversion rules of 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: 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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