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[SPARK-23896][SQL]Improve PartitioningAwareFileIndex #21004

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[SPARK-23896][SQL]Improve PartitioningAwareFileIndex #21004

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51b385b
improve PartitioningAwareFileIndex
gengliangwang Apr 8, 2018
5028fe2
fix checkFilesExist
gengliangwang Apr 8, 2018
603a836
fix test failure
gengliangwang Apr 9, 2018
378d0cc
make it simple
gengliangwang Apr 11, 2018
4b5e2db
revise
gengliangwang Apr 11, 2018
71d98ed
revise
gengliangwang Apr 12, 2018
553a412
revise
gengliangwang Apr 12, 2018
2b99b12
revise
gengliangwang Apr 12, 2018
00438cd
use the old way
gengliangwang Apr 12, 2018
9a2af2d
best refactor
gengliangwang Apr 12, 2018
114737f
revise
gengliangwang Apr 12, 2018
8c8bf69
Use CatalogFileIndex to get schemas
gengliangwang Apr 12, 2018
12ac191
address comments
gengliangwang Apr 13, 2018
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revise
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@gengliangwang
gengliangwang committed Apr 12, 2018
commit 114737f31f35b559b93a08685abffea64b7486c7
7 changes: 2 additions & 5 deletions ...rc/main/scala/org/apache/spark/sql/execution/datasources/PartitioningAwareFileIndex.scala
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Expand Up @@ -139,12 +139,9 @@ abstract class PartitioningAwareFileIndex(
// we need to cast into the data type that user specified.
def castPartitionValuesToUserSchema(row: InternalRow) = {
InternalRow((0 until row.numFields).map { i =>
val expr = inferredPartitionSpec.partitionColumns.fields(i).dataType match {
case StringType => Literal.create(row.getUTF8String(i), StringType)
case otherType => Literal.create(row.get(i, otherType))
}
val dt = inferredPartitionSpec.partitionColumns.fields(i).dataType
Cast(
expr,
Literal.create(row.get(i, dt), dt),
userPartitionSchema.fields(i).dataType,
Option(timeZoneId)).eval()
}: _*)
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