yaooqinn commented on a change in pull request #26847: [SPARK-30214][SQL]
Support COMMENT ON syntax
URL: https://github.com/apache/spark/pull/26847#discussion_r360413341
##########
File path:
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/DataSourceV2Strategy.scala
##########
@@ -210,6 +212,16 @@ object DataSourceV2Strategy extends Strategy with
PredicateHelper {
case AlterNamespaceSetProperties(catalog, namespace, properties) =>
AlterNamespaceSetPropertiesExec(catalog, namespace, properties) :: Nil
+ case CommentOnNamespace(ResolvedNamespace(catalog, namespace), comment) =>
+ AlterNamespaceSetPropertiesExec(
+ catalog,
+ namespace,
+ Map(SupportsNamespaces.PROP_COMMENT -> comment)) :: Nil
Review comment:
Ok, let’s get this straight.
Postgres treats `null`/`empty string` the same as `null` to delete the
comment key-value, but when we run `\d+ xxx`, the Comment(Description) is a
must-show field whether is null or not, see as below,
```sql
postgres=# \d+
List of relations
Schema | Name | Type | Owner | Size | Description
--------+-------------+-------+----------+------------+-------------
public | b | table | postgres | 8192 bytes | abc
public | bo | table | postgres | 8192 bytes |
public | i | table | postgres | 0 bytes |
```
In Spark, w/ or w/o this PR, the Comment(Description) of a database is a
must-show field for `describe namespace` as Postgres. When it's null(as if we
delete it as Postgres), we have to fill it with an empty string.
In Spark w/o this PR, the Comment(Description) of a table is an optional
field for `describe table`, it is not shown if it is null. when it an empty
string, the field exists.
In Spark w/ this PR, the Comment(Description) of a table is a must-show
field for `describe table` as Postgres.
Additionally, if we delete comment here when it is empty string, then we
have to do the same in create-table-comment-clause.`CREATE TABLE(v int) COMMENT
''` should not leave a comment with empty string as it does now.
All in all, let's say the same result in different processes between spark
and Postgres after this.
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