danny0405 commented on code in PR #8418:
URL: https://github.com/apache/hudi/pull/8418#discussion_r1162331382
##########
hudi-flink-datasource/hudi-flink/src/test/java/org/apache/hudi/sink/cluster/ITTestHoodieFlinkClustering.java:
##########
@@ -419,4 +425,179 @@ public void
testHoodieFlinkClusteringScheduleAfterArchive() throws Exception {
.stream().anyMatch(fg -> fg.getSlices()
.stream().anyMatch(s ->
s.getDataFilePath().contains(firstClusteringInstant))));
}
+
+ /**
+ * Test to ensure that creating a table with a column of TIMESTAMP(9) will
throw errors
+ * @throws Exception
+ */
+ @Test
+ public void testHoodieFlinkClusteringWithTimestampNanos() {
+ // create hoodie table and insert into data
Review Comment:
> type support should be consistent for Hudi tables under all write modes
I have reservations, if we already support TIMESTAMP(9) for append mode then
revert it, it is a regression.
Let's also check how Spark handle the timestamp(9) data type for parquet
writer, and if the removal of TIMESTAMP(9) has some impacts on Hive reader.
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