Github user gengliangwang commented on a diff in the pull request:
https://github.com/apache/spark/pull/21667#discussion_r199079744
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/FileFormat.scala
---
@@ -152,6 +152,16 @@ trait FileFormat {
}
}
+ /**
+ * Returns whether this format supports the given [[DataType]] in
read/write path.
+ *
+ * By default all data types are supported except
[[CalendarIntervalType]] in write path.
+ */
+ def supportDataType(dataType: DataType, isReadPath: Boolean): Boolean =
dataType match {
--- End diff --
Blacklist is easier.
With whitelist , we will have to validate
```
BooleanType | ByteType | ShortType | IntegerType | LongType | FloatType |
DoubleType |
StringType | BinaryType | DateType | TimestampType | DecimalType
```
Of course we can have a default function to process these. But if we add a
new data source which didn't support all of them, the implementation will be
verbose.
---
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
