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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