Skip to content

[SPARK-25498][SQL] InterpretedMutableProjection should handle UnsafeRow #22512

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Closed
maropu wants to merge 9 commits into from
Closed

[SPARK-25498][SQL] InterpretedMutableProjection should handle UnsafeRow #22512

Changes from 1 commit
Commits
Show all changes
9 commits
Select commit Hold shift + click to select a range
3faf314
Fix test failures with the interpreter mode enabled
maropu Sep 21, 2018
ef20325
Fix
maropu Oct 23, 2018
09767a0
Fix
maropu Oct 23, 2018
df07fc4
Fix
maropu Oct 24, 2018
388213f
Fix
maropu Oct 24, 2018
243fae3
Fix
maropu Oct 24, 2018
3553d91
WIP: fix test failures
maropu Dec 3, 2018
95411c8
Fix
maropu Dec 3, 2018
4cdc504
Fix for readability
maropu Dec 3, 2018
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
Prev Previous commit
Next Next commit
Fix
  • Loading branch information
@maropu
maropu committed Nov 30, 2018
commit df07fc48adb525eb9d330b078e6a66fb0597bb24
5 changes: 3 additions & 2 deletions sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/InternalRow.scala
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -173,9 +173,10 @@ object InternalRow {
case DecimalType.Fixed(precision, _) =>
(input, v) => input.setDecimal(ordinal, v.asInstanceOf[Decimal], precision)
case CalendarIntervalType | BinaryType | _: ArrayType | StringType | _: StructType |
_: MapType | _: ObjectType | _: UserDefinedType[_] =>
_: MapType | _: ObjectType =>
(input, v) => input.update(ordinal, v)
case NullType => (input, v) => {}
case udt: UserDefinedType[_] => getWriter(ordinal, udt.sqlType)
case NullType => (input, _) => input.setNullAt(ordinal)
case _ => throw new SparkException(s"Unsupported data type $dt")
}
}