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https://issues.apache.org/jira/browse/SPARK-31136?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Dongjoon Hyun resolved SPARK-31136.
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Resolution: Won't Do
Hi, All. This issue was specifically for `Reverting SPARK-30098`. Now, I'm
closing this issue as "Won't Do" because we discussed here and we don't agree
on. In other words, we are going to move forward instead of simply reverting
this. SPARK-31147 will follow up for a proper action on CHAR type. For
documentation, SPARK-31133 will follow up for the documentations (including
syntax changes and meaning, and maybe `LOAD` behavior). We may open up more
follow-ups, but not this. Also, for another request for reverting SPARK-30098,
we will reuse this issue for further discussion.
> 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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