KevinyhZou commented on code in PR #10248:
URL:
https://github.com/apache/incubator-gluten/pull/10248#discussion_r2241964859
##########
gluten-flink/ut/src/test/java/org/apache/gluten/table/runtime/stream/custom/ScalarFunctionsTest.java:
##########
@@ -169,4 +172,28 @@ void testDecimal() {
query = "select b + e as x from tblDecimal where a > 0";
runAndCheck(query, Arrays.asList("+I[2.0]", "+I[5.0]", "+I[7.0]"));
}
+
+ @Test
+ void testDateFormat() {
+ List<Row> rows =
+ Arrays.asList(Row.of(1, "2024-12-31 12:12:12"), Row.of(2, "2025-02-28
12:12:12"));
+ createSimpleBoundedValuesTable("dateFormatTbl", "a int, b string", rows);
+ String query =
+ "select a, DATE_FORMAT(cast(b as Timestamp(3)), 'yyyy-MM-dd'),
DATE_FORMAT(cast(b as Timestamp(3)), 'yyyy-MM-dd HH:mm:ss') from dateFormatTbl";
+ runAndCheck(
+ query,
+ Arrays.asList(
+ "+I[1, 2024-12-31, 2024-12-31 12:12:12]", "+I[2, 2025-02-28,
2025-02-28 12:12:12]"));
+ Map<String, String> configs =
+ Map.of(
+ VeloxQueryConfig.ADJUST_TIMESTMP_TO_SESSION_TIMEZONE.key(),
+ "true",
+ TableConfigOptions.LOCAL_TIME_ZONE.key(),
+ "America/Los_Angeles");
Review Comment:
The flink `create view` is `logical view`, data is not materialized， so you
described above it is the same as `select ... date_format(cast(xxx as
timestamp), 'yyyy-MM-dd HH:mm:ss')`, and this is different from spark.
And we can still test this, by insert the result of 1st step to a `table`
instead of `view`, and then the 2nd and 3rd step result can be affected by the
timezone, but the timestamp with timezone type is not supported, so the 1st
step would cause errors, and I have tried this yesterday.
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