cloud-fan commented on a change in pull request #30421:
URL: https://github.com/apache/spark/pull/30421#discussion_r584796590
##########
File path: sql/core/src/test/scala/org/apache/spark/sql/SQLInsertTestSuite.scala
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@@ -209,6 +211,43 @@ trait SQLInsertTestSuite extends QueryTest with
SQLTestUtils {
}
}
+ test("SPARK-33474: Support typed literals as partition spec values") {
+ withTable("t1", "t2", "t4", "t5") {
+ val binaryStr = "Spark SQL"
+ val binaryHexStr =
Hex.hex(UTF8String.fromString(binaryStr).getBytes).toString
+ sql("CREATE TABLE t1(name STRING, part DATE) USING PARQUET PARTITIONED
BY (part)")
+ sql("INSERT INTO t1 PARTITION(part = date'2019-01-02') VALUES('a')")
Review comment:
Can we create one table with many partition columns of different types,
and test the positive normal cases together?
```
CREATE TABLE t1(name STRING, p1 DATE, p2 TIMESTAMP, p3 ...) USING PARQUET
PARTITIONED BY (p1, p2, ...)
INSERT ...
```
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