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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