JingsongLi commented on a change in pull request #10426: [FLINK-15062][orc] Orc 
reader should use java.sql.Timestamp to read for respecting time zone
URL: https://github.com/apache/flink/pull/10426#discussion_r354106338
 
 

 ##########
 File path: 
flink-formats/flink-orc/src/main/java/org/apache/flink/orc/vector/AbstractOrcColumnVector.java
 ##########
 @@ -176,20 +176,15 @@ private static DoubleColumnVector createDoubleVector(int 
batchSize, Object value
                return dcv;
        }
 
-       private static TimestampColumnVector createTimestampVector(int 
batchSize, LocalDateTime value) {
+       private static TimestampColumnVector createTimestampVector(int 
batchSize, Object value) {
                TimestampColumnVector lcv = new 
TimestampColumnVector(batchSize);
                if (value == null) {
                        lcv.noNulls = false;
                        lcv.isNull[0] = true;
                        lcv.isRepeating = true;
                } else {
-                       long epochDay = value.toLocalDate().toEpochDay();
-                       long nanoOfDay = value.toLocalTime().toNanoOfDay();
-
-                       long millisecond = epochDay * 24 * 60 * 60 * 1000 + 
nanoOfDay / 1_000_000;
-                       int nanoOfSecond = (int) (nanoOfDay % 1_000_000_000);
-                       Timestamp timestamp = new Timestamp(millisecond);
-                       timestamp.setNanos(nanoOfSecond);
+                       Timestamp timestamp = value instanceof LocalDateTime ?
+                               Timestamp.valueOf((LocalDateTime) value) : 
(Timestamp) value;
 
 Review comment:
   `java.sql.Timestamp` is the default format in hive world, but 
`LocalDateTime` is the default format in flink world.
   Whatever, It must be correct that support all.

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