Github user yhuai commented on a diff in the pull request:
https://github.com/apache/spark/pull/12935#discussion_r62799542
--- Diff: sql/core/src/test/scala/org/apache/spark/sql/SQLQuerySuite.scala
---
@@ -2480,4 +2480,20 @@ class SQLQuerySuite extends QueryTest with
SharedSQLContext {
Row(null) :: Nil
)
}
+
+ test("data source table created in InMemoryCatalog should be able to
read/write") {
+ withTable("tbl") {
+ sql("CREATE TABLE tbl(i INT, j STRING) USING parquet")
+ checkAnswer(sql("SELECT * FROM tbl"), Nil)
+
+ Seq(1 -> "a", 2 -> "b").toDF("i",
"j").write.mode("overwrite").insertInto("tbl")
--- End diff --
https://github.com/apache/spark/pull/13013 has updated the doc for
insertInto and saveAsTable. The main difference between them is that
`insertInto` use position-based column resolution (like SQL's insert into
statement), while `saveAsTable` uses column-name-based column resolution (like
applying a project on top of the data).
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