Github user sameeragarwal commented on a diff in the pull request:
https://github.com/apache/spark/pull/11882#discussion_r57078947
--- Diff:
sql/core/src/main/java/org/apache/spark/sql/execution/datasources/parquet/VectorizedColumnReader.java
---
@@ -308,7 +322,7 @@ private void readIntBatch(int rowId, int num,
ColumnVector column) throws IOExce
private void readLongBatch(int rowId, int num, ColumnVector column)
throws IOException {
// This is where we implement support for the valid type conversions.
- if (column.dataType() == DataTypes.LongType ||
+ if (column.dataType() == DataTypes.LongType || column.dataType() ==
DataTypes.TimestampType ||
DecimalType.is64BitDecimalType(column.dataType())) {
defColumn.readLongs(
--- End diff --
Thanks, fixed. Also added tests in `HadoopFsRelationTest` that test both
the dictionary encoded and non-encoded versions across all supported datatypes.
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