cloud-fan commented on a change in pull request #24980: [SPARK-28178][SQL]
DataSourceV2: DataFrameWriter.insertInfo
URL: https://github.com/apache/spark/pull/24980#discussion_r309991243
##########
File path: sql/core/src/main/scala/org/apache/spark/sql/DataFrameWriter.scala
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@@ -370,6 +371,45 @@ final class DataFrameWriter[T] private[sql](ds:
Dataset[T]) {
)
}
+ df.sparkSession.sessionState.sqlParser.parseMultipartIdentifier(tableName)
match {
+ case CatalogObjectIdentifier(Some(catalog), ident) =>
+ insertInto(catalog, ident)
+ case AsTableIdentifier(tableIdentifier) =>
+ insertInto(tableIdentifier)
+ }
+ }
+
+ private def insertInto(catalog: CatalogPlugin, ident: Identifier): Unit = {
+ import org.apache.spark.sql.catalog.v2.CatalogV2Implicits._
+
+ val table =
DataSourceV2Relation.create(catalog.asTableCatalog.loadTable(ident))
+
+ val command = modeForDSV2 match {
+ case SaveMode.Append =>
+ AppendData.byName(table, df.logicalPlan)
Review comment:
I missed it. If you look at the doc of `insertInto`, it says
```
* Inserts the content of the `DataFrame` to the specified table. It
requires that
* the schema of the `DataFrame` is the same as the schema of the table.
*
* @note Unlike `saveAsTable`, `insertInto` ignores the column names and
just uses position-based
* resolution. For example:
```
We should use `byPosition` here.
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