LantaoJin commented on a change in pull request #25840: [SPARK-29166][SQL] Add
parameters to limit the number of dynamic partitions for data source table
URL: https://github.com/apache/spark/pull/25840#discussion_r326044136
##########
File path:
sql/core/src/test/scala/org/apache/spark/sql/sources/InsertSuite.scala
##########
@@ -654,6 +654,30 @@ class InsertSuite extends DataSourceTest with
SharedSparkSession {
}
}
+ test("dynamic partition overwrite with limitation") {
+ withSQLConf(
+ SQLConf.PARTITION_OVERWRITE_MODE.key ->
PartitionOverwriteMode.DYNAMIC.toString,
+ SQLConf.MAX_DYNAMIC_PARTITIONS.key -> "3") {
+ withTable("t") {
+ sql(
+ """
+ |create table t(i int, part1 int, part2 int) using parquet
+ |partitioned by (part1, part2)
+ """.stripMargin)
+
+ sql("insert into t partition(part1=1, part2=1) select 1")
+ checkAnswer(spark.table("t"), Row(1, 1, 1))
+
+ val e = intercept[SparkException] {
+ sql("insert overwrite table t partition(part1=2, part2)" +
+ " select 2, explode(array(2, 3, 4, 5))")
Review comment:
> if this sql was split into multiple individual inserts
If you means Insert into [multiple
tables](https://cwiki.apache.org/confluence/display/Hive/LanguageManual+DML#LanguageManualDML-InsertingdataintoHiveTablesfromqueries)
in one sql, the check no needs to aggregate the total partition number. Each
Insert reachs the limitation should fail fast.
> i feel the expectation should have been an exception be raised when more
than 3 partitions are created, whenever it happens.
I've updated the UT, has it addressed your question?
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