Github user cloud-fan commented on a diff in the pull request:
https://github.com/apache/spark/pull/16593#discussion_r96785016
--- Diff:
sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveDDLSuite.scala
---
@@ -1361,6 +1355,38 @@ class HiveDDLSuite
}
}
+ test("create hive serde table as select with DataFrameWriter.saveAsTable
with partitionBy") {
+ withTable("t", "t1") {
+ withSQLConf("hive.exec.dynamic.partition.mode" -> "nonstrict") {
+ Seq(10 -> "y").toDF("i",
"j").write.format("hive").partitionBy("i").saveAsTable("t")
+ checkAnswer(spark.table("t"), Row("y", 10) :: Nil)
+ var table =
spark.sessionState.catalog.getTableMetadata(TableIdentifier("t"))
+ var partitionSchema = table.partitionSchema
+ assert(partitionSchema.size == 1 && partitionSchema.fields(0).name
== "i" &&
+ partitionSchema.fields(0).dataType == IntegerType)
+
+ Seq(11 -> "z").toDF("i",
"j").write.mode("overwrite").format("hive")
+ .partitionBy("j").saveAsTable("t")
+ checkAnswer(spark.table("t"), Row(11, "z") :: Nil)
+ table =
spark.sessionState.catalog.getTableMetadata(TableIdentifier("t"))
+ partitionSchema = table.partitionSchema
+ assert(partitionSchema.size == 1 && partitionSchema.fields(0).name
== "j" &&
+ partitionSchema.fields(0).dataType == StringType)
+
+ Seq((1, 2, 3)).toDF("i", "j",
"k").write.mode("overwrite").format("hive")
+ .partitionBy("k", "j").saveAsTable("t")
+ checkAnswer(spark.table("t"), Row(1, 3, 2) :: Nil)
+
+ Seq((1, 2, 3)).toDF("i", "j",
"k").write.mode("overwrite").format("hive")
--- End diff --
I think we don't need to test `overwrite` behavior so many times, just
create a table with `Seq(10 -> "y").toDF("i", "j").write.partitionBy("i")` and
overwrite it with `Seq((1, 2, 3)).toDF("i", "j", "k").write.partitionBy("j",
"k")`
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