nsivabalan commented on code in PR #14076:
URL: https://github.com/apache/hudi/pull/14076#discussion_r2437354340
##########
hudi-utilities/src/test/java/org/apache/hudi/utilities/sources/helpers/TestMercifulJsonToRowConverterBase.java:
##########
@@ -320,10 +314,20 @@ void dateLogicalTypeTest(String groundTruthRow, Object
dateInput) throws IOExcep
if (groundTruthRow == null) {
return;
}
- Row rec =
RowFactory.create(java.sql.Date.valueOf(groundTruthRow).toLocalDate());
- Row realRow = CONVERTER.convertToRow(json, schema);
+ Row rec;
+ if (isJava8ApiEnabled()) {
+ rec =
RowFactory.create(java.sql.Date.valueOf(groundTruthRow).toLocalDate());
Review Comment:
So, we are returning either of `LocalDate` or `Date` based on the java8 api
usage right.
then, if user moves the pipelines from java 8 to java 11, wouldn't we have
data inconsistency issues?
can you help clarify
##########
hudi-utilities/src/main/java/org/apache/hudi/utilities/sources/helpers/MercifulJsonToRowConverter.java:
##########
@@ -275,8 +278,7 @@ public Pair<Boolean, Object> handleStringValue(String
value) {
},
value, schema);
if (result.getLeft()) {
- // timestamp in spark sql doesn't support precision to the micro.
- return Pair.of(true, new Timestamp(((Long) result.getRight()) / 1000));
+ return Pair.of(true, DateTimeUtils.microsToInstant((Long)
result.getRight()));
Review Comment:
So, by moving from 'Timestamp` to `Instant`, we can now support both millis
and micros in spark?
atleast for json to row conversions.
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