Github user nongli commented on a diff in the pull request:
https://github.com/apache/spark/pull/11882#discussion_r57026815
--- 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 --
hmm. How does this work? readLongs is expecting to read parquet int64
physical types. How is it able to read this other physical type?
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