Github user dilipbiswal commented on a diff in the pull request:
https://github.com/apache/spark/pull/15332#discussion_r82115917
--- Diff:
sql/core/src/main/java/org/apache/spark/sql/execution/datasources/parquet/VectorizedColumnReader.java
---
@@ -157,7 +158,8 @@ void readBatch(int total, ColumnVector column) throws
IOException {
num, dictionaryIds, column, rowId, maxDefLevel,
(VectorizedValuesReader) dataColumn);
if (column.hasDictionary() || (rowId == 0 &&
(descriptor.getType() == PrimitiveType.PrimitiveTypeName.INT32
||
- descriptor.getType() == PrimitiveType.PrimitiveTypeName.INT64
||
+ (descriptor.getType() == PrimitiveType.PrimitiveTypeName.INT64
&&
+ column.dataType() != DataTypes.TimestampType) ||
--- End diff --
We need to convert the time back to micros and in case of lazy decoding, we
don't get that chance ?
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