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https://issues.apache.org/jira/browse/SPARK-31136?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17058412#comment-17058412
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Wenchen Fan commented on SPARK-31136:
-------------------------------------

Can we define the standard of correctness issue? A command works before but 
fails now, is a breaking change, but not a correctness issue. AFAIK correctness 
issue is users getting wrong results silently.

If this is a correctness issue, then this is a long-standing one as *ALL* data 
sources tables do not support LOAD TABLE.

> Revert SPARK-30098 Use default datasource as provider for CREATE TABLE syntax
> -----------------------------------------------------------------------------
>
>                 Key: SPARK-31136
>                 URL: https://issues.apache.org/jira/browse/SPARK-31136
>             Project: Spark
>          Issue Type: Sub-task
>          Components: SQL
>    Affects Versions: 3.0.0
>            Reporter: Dongjoon Hyun
>            Priority: Blocker
>              Labels: correctness
>
> We need to consider the behavior change of SPARK-30098 .
> This is a placeholder to keep the discussion and the final decision.
> `CREATE TABLE` syntax changes its behavior silently.
> The following is one example of the breaking the existing user data pipelines.
> *Apache Spark 2.4.5*
> {code}
> spark-sql> CREATE TABLE t(a STRING);
> spark-sql> LOAD DATA INPATH '/usr/local/spark/README.md' INTO TABLE t;
> spark-sql> SELECT * FROM t LIMIT 1;
> # Apache Spark
> Time taken: 2.05 seconds, Fetched 1 row(s)
> {code}
> {code}
> spark-sql> CREATE TABLE t(a CHAR(3));
> spark-sql> INSERT INTO TABLE t SELECT 'a ';
> spark-sql> SELECT a, length(a) FROM t;
> a     3
> {code}
> *Apache Spark 3.0.0-preview2*
> {code}
> spark-sql> CREATE TABLE t(a STRING);
> spark-sql> LOAD DATA INPATH '/usr/local/spark/README.md' INTO TABLE t;
> Error in query: LOAD DATA is not supported for datasource tables: 
> `default`.`t`;
> {code}
> {code}
> spark-sql> CREATE TABLE t(a CHAR(3));
> spark-sql> INSERT INTO TABLE t SELECT 'a ';
> spark-sql> SELECT a, length(a) FROM t;
> a     2
> {code}



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