Github user cloud-fan commented on a diff in the pull request:
https://github.com/apache/spark/pull/8990#discussion_r41425875
--- Diff:
sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/SQLQuerySuite.scala
---
@@ -1248,4 +1248,47 @@ class SQLQuerySuite extends QueryTest with
SQLTestUtils with TestHiveSingleton {
""".stripMargin), Row("b", 6.0) :: Row("a", 7.0) :: Nil)
}
}
+
+ test("create hive view for json table") {
+ // json table is not hive-compatible, make sure the new flag fix it.
+ withSQLConf(SQLConf.CANONICALIZE_VIEW.key -> "true") {
+ withTable("jt") {
+ sqlContext.range(1, 10).write.format("json").saveAsTable("jt")
+ sql("CREATE VIEW testView AS SELECT id FROM jt")
+ checkAnswer(sql("SELECT * FROM testView ORDER BY id"), (1 to
9).map(i => Row(i)))
+ sql("DROP VIEW testView")
+ }
+ }
+ }
+
+ test("create hive view for partitioned parquet table") {
+ // partitioned parquet table is not hive-compatible, make sure the new
flag fix it.
+ withSQLConf(SQLConf.CANONICALIZE_VIEW.key -> "true") {
+ withTable("parTable") {
+ val df = Seq(1 -> "a").toDF("i", "j")
+ df.write.format("parquet").partitionBy("i").saveAsTable("parTable")
+ sql("CREATE VIEW testView AS SELECT i, j FROM parTable")
+ checkAnswer(sql("SELECT * FROM testView"), Row(1, "a"))
+ sql("DROP VIEW testView")
+ }
+ }
+ }
+
+ test("create hive view for joined tables") {
+ // make sure the new flag can handle some complex cases like join and
schema change.
+ withSQLConf(SQLConf.CANONICALIZE_VIEW.key -> "true") {
+ withTable("jt1", "jt2") {
+ sqlContext.range(1,
10).toDF("id1").write.format("json").saveAsTable("jt1")
+ sqlContext.range(1,
10).toDF("id2").write.format("json").saveAsTable("jt2")
+ sql("CREATE VIEW testView AS SELECT * FROM jt1 JOIN jt2 ON id1 ==
id2")
+ checkAnswer(sql("SELECT * FROM testView ORDER BY id1"), (1 to
9).map(i => Row(i, i)))
+
+ val df = (1 until 10).map(i => i -> i).toDF("id1", "newCol")
+ df.write.format("json").mode(SaveMode.Overwrite).saveAsTable("jt1")
+ checkAnswer(sql("SELECT * FROM testView ORDER BY id1"), (1 to
9).map(i => Row(i, i)))
+
+ sql("DROP VIEW testView")
+ }
+ }
+ }
--- End diff --
we will parse it to table identifier, so having the database part is OK.
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