gengliangwang commented on a change in pull request #23383: [SPARK-23817][SQL]
Migrate ORC file format read path to data source V2
URL: https://github.com/apache/spark/pull/23383#discussion_r246850787
##########
File path:
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/orc/OrcFilters.scala
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@@ -82,22 +82,22 @@ private[sql] object OrcFilters {
*/
def createFilter(schema: StructType, filters: Seq[Filter]):
Option[SearchArgument] = {
val dataTypeMap = schema.map(f => f.name -> f.dataType).toMap
-
- // First, tries to convert each filter individually to see whether it's
convertible, and then
- // collect all convertible ones to build the final `SearchArgument`.
- val convertibleFilters = for {
- filter <- filters
- _ <- buildSearchArgument(dataTypeMap, filter, newBuilder)
- } yield filter
-
for {
// Combines all convertible filters using `And` to produce a single
conjunction
- conjunction <- buildTree(convertibleFilters)
+ conjunction <- buildTree(convertibleFilters(schema, filters))
// Then tries to build a single ORC `SearchArgument` for the conjunction
predicate
builder <- buildSearchArgument(dataTypeMap, conjunction, newBuilder)
} yield builder.build()
}
+ def convertibleFilters(schema: StructType, filters: Seq[Filter]):
Seq[Filter] = {
+ val dataTypeMap = schema.map(f => f.name -> f.dataType).toMap
Review comment:
Yes, it is used in `OrcScanBuilder.pushFilters`.
The API `pushFilters` requires to return filters that need to be evaluated
after scanning. So I have to make the method accessible here.
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