viirya commented on a change in pull request #29457:
URL: https://github.com/apache/spark/pull/29457#discussion_r474160197
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File path:
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/orc/OrcFiltersBase.scala
##########
@@ -49,19 +51,21 @@ trait OrcFiltersBase {
*/
protected[sql] def getSearchableTypeMap(
schema: StructType,
- caseSensitive: Boolean): Map[String, DataType] = {
+ caseSensitive: Boolean): Map[String, OrcPrimitiveField] = {
import
org.apache.spark.sql.connector.catalog.CatalogV2Implicits.MultipartIdentifierHelper
def getPrimitiveFields(
fields: Seq[StructField],
- parentFieldNames: Seq[String] = Seq.empty): Seq[(String, DataType)] = {
+ parentFieldNames: Seq[String] = Seq.empty): Seq[(String,
OrcPrimitiveField)] = {
fields.flatMap { f =>
f.dataType match {
case st: StructType =>
getPrimitiveFields(st.fields, parentFieldNames :+ f.name)
case BinaryType => None
case _: AtomicType =>
- Some(((parentFieldNames :+ f.name).quoted, f.dataType))
+ val fieldName = (parentFieldNames :+ f.name).quoted
+ val orcField = OrcPrimitiveField(fieldName, f.dataType)
+ Some((fieldName, orcField))
Review comment:
Because we look up attribute name of pushed down predicates in the map
`dataTypeMap(name)`, we need to easily retrieve the file schema's field name.
If we simply use `Map[String, DataType]`, the matched attribute name under
case-insensitive analysis could be possibly in different letter case to the
file schema's field name.
E,g, If ORC file has 'ABC` field, pushed down predicate is "abc > 0",
`dataTypeMap.contain("abc")` is true and we can get `dataTypeMap("abc")` back.
But we need file schema's field name "ABC".
It is similar to Parquet:
https://github.com/apache/spark/blob/d6a68e0b67ff7de58073c176dd097070e88ac831/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetFilters.scala#L56-L76
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