Github user viirya commented on a diff in the pull request:
https://github.com/apache/spark/pull/16417#discussion_r94109872
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/codegen/GenerateUnsafeProjection.scala
---
@@ -92,46 +89,53 @@ object GenerateUnsafeProjection extends
CodeGenerator[Seq[Expression], UnsafePro
s"$rowWriter.reset();"
}
- val writeFields = inputs.zip(inputTypes).zipWithIndex.map {
- case ((input, dataType), index) =>
+ val writeFields = inputs.zip(inputsTypeAndNullable).zipWithIndex.map {
+ case ((input, (dataType, nullable)), index) =>
val dt = dataType match {
case udt: UserDefinedType[_] => udt.sqlType
case other => other
}
val tmpCursor = ctx.freshName("tmpCursor")
val setNull = dt match {
- case t: DecimalType if t.precision > Decimal.MAX_LONG_DIGITS =>
- // Can't call setNullAt() for DecimalType with precision
larger than 18.
- s"$rowWriter.write($index, (Decimal) null, ${t.precision},
${t.scale});"
+ case dt if UnsafeRow.isMutable(dt) &&
!UnsafeRow.isFixedLength(dt) =>
+ def varLenDataSize(s: DataType): Int = s match {
+ case t: DecimalType if t.precision > Decimal.MAX_LONG_DIGITS
=> 16
--- End diff --
If `!UnsafeRow.isFixedLength(dt)` and `dt` is `DecimalType`, I think it
already implicitly means `t.precision > Decimal.MAX_LONG_DIGITS`?
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at [email protected] or file a JIRA ticket
with INFRA.
---
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
