cloud-fan commented on a change in pull request #34495:
URL: https://github.com/apache/spark/pull/34495#discussion_r746323577
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File path:
sql/core/src/main/java/org/apache/spark/sql/execution/datasources/parquet/ParquetVectorUpdaterFactory.java
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@@ -179,6 +183,21 @@ boolean
isTimestampTypeMatched(LogicalTypeAnnotation.TimeUnit unit) {
((TimestampLogicalTypeAnnotation) logicalTypeAnnotation).getUnit() ==
unit;
}
+ void validateTimestampType(DataType sparkType) {
+ assert(logicalTypeAnnotation instanceof TimestampLogicalTypeAnnotation);
+ // Throw an exception if the Parquet type is TimestampLTZ and the Catalyst
type is TimestampNTZ.
+ // This is to avoid mistakes in reading the timestamp values.
+ if (((TimestampLogicalTypeAnnotation)
logicalTypeAnnotation).isAdjustedToUTC() &&
+ sparkType == DataTypes.TimestampNTZType) {
+ convertErrorForTimestampNTZ("int64 time(" + logicalTypeAnnotation + ")");
+ }
+ }
+
+ void convertErrorForTimestampNTZ(String parquetType) {
+ throw new RuntimeException("Unable to create Parquet converter for data
type " +
+ DataTypes.TimestampNTZType.json() + " whose Parquet type is " +
parquetType);
Review comment:
can we use the SQL format? `TIMESTAMP WITHOUT TIMEZONE`
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