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https://issues.apache.org/jira/browse/SPARK-28885?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Gengliang Wang updated SPARK-28885:
-----------------------------------
    Description: 
When inserting a value into a column with a different data type, Spark will 
perform type coercion. Currently, we support 3 policies for the type coercion 
rules: ANSI, legacy and strict
1. ANSI:  Spark performs the type coercion as per ANSI SQL. It is consistent 
with popular DBMS such as PostgreSQL/Mysql/Oracle. It disallows unreasonable 
casting such as converting `string` to `int`.
2. Legacy: Spark allows casting any value to any data type. It is the only 
behavior in Spark 2.x and it is compatible with Hive.
3. Strict: Spark doesn't allow any possible precision loss or data truncation 
in type coercion, e.g. `long` to `int`, `double` to `int` and `decimal` to 
`double` are not allowed.

This task is to make ANSI policy as the default choice of table insertion.

  was:
As now, Spark supports 3 policies for type coercion in table insertion:
1. ANSI
2. Legacy
3. Strict


> Follow ANSI store assignment rules in table insertion by default
> ----------------------------------------------------------------
>
>                 Key: SPARK-28885
>                 URL: https://issues.apache.org/jira/browse/SPARK-28885
>             Project: Spark
>          Issue Type: Sub-task
>          Components: SQL
>    Affects Versions: 3.0.0
>            Reporter: Gengliang Wang
>            Priority: Major
>
> When inserting a value into a column with a different data type, Spark will 
> perform type coercion. Currently, we support 3 policies for the type coercion 
> rules: ANSI, legacy and strict
> 1. ANSI:  Spark performs the type coercion as per ANSI SQL. It is consistent 
> with popular DBMS such as PostgreSQL/Mysql/Oracle. It disallows unreasonable 
> casting such as converting `string` to `int`.
> 2. Legacy: Spark allows casting any value to any data type. It is the only 
> behavior in Spark 2.x and it is compatible with Hive.
> 3. Strict: Spark doesn't allow any possible precision loss or data truncation 
> in type coercion, e.g. `long` to `int`, `double` to `int` and `decimal` to 
> `double` are not allowed.
> This task is to make ANSI policy as the default choice of table insertion.



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