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From "Xiao Li (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (SPARK-28589) Introduce a new type coercion mode by following PostgreSQL
Date Sun, 04 Aug 2019 04:25:00 GMT

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

Xiao Li updated SPARK-28589:
----------------------------
    Description: 
The type coercion rules in Spark SQL are not consistent with any system. Sometimes, it is
confusing to end users. 

We can introduce a new type coercion mode so that Spark can function as some popular DBMS.
For example, PostgreSQL.

  was:
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..


> 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 coercion rules in Spark SQL are not consistent with any system. Sometimes, it
is confusing to end users. 
> We can introduce a new type coercion mode so that Spark can function as some popular
DBMS. For example, PostgreSQL.



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