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Posted to reviews@spark.apache.org by GitBox <gi...@apache.org> on 2022/06/14 05:35:57 UTC
[GitHub] [spark] beliefer commented on pull request #36726: [SPARK-39339][SQL] Support TimestampNTZ type in JDBC data source
beliefer commented on PR #36726:
URL: https://github.com/apache/spark/pull/36726#issuecomment-1154735759
> Thanks, merging to master
I update this test case and it will fail !
```
test("SPARK-37463: read/write Timestamp ntz to Orc with different time zone") {
DateTimeTestUtils.withDefaultTimeZone(DateTimeTestUtils.LA) {
val sqlText = """
|select
| timestamp_ntz '2021-06-01 00:00:00' ts_ntz1,
| timestamp_ntz '1883-11-16 00:00:00.0' as ts_ntz2,
| timestamp_ntz '2021-03-14 02:15:00.0' as ts_ntz3
|""".stripMargin
withTempPath { dir =>
val path = dir.getCanonicalPath
val df = sql(sqlText)
df.write.mode("overwrite").orc(path)
val query = s"select * from `orc`.`$path`"
DateTimeTestUtils.outstandingZoneIds.foreach { zoneId =>
DateTimeTestUtils.withDefaultTimeZone(zoneId) {
withAllNativeOrcReaders {
checkAnswer(sql(query), df)
}
}
}
}
}
}
```
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