viirya commented on a change in pull request #29412:
URL: https://github.com/apache/spark/pull/29412#discussion_r470205227
##########
File path:
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/orc/OrcFiltersBase.scala
##########
@@ -67,18 +65,12 @@ trait OrcFiltersBase {
}
}
- val primitiveFields = getPrimitiveFields(schema.fields)
- if (caseSensitive) {
- primitiveFields.toMap
- } else {
- // Don't consider ambiguity here, i.e. more than one field are matched
in case insensitive
- // mode, just skip pushdown for these fields, they will trigger
Exception when reading,
- // See: SPARK-25175.
- val dedupPrimitiveFields = primitiveFields
- .groupBy(_._1.toLowerCase(Locale.ROOT))
- .filter(_._2.size == 1)
- .mapValues(_.head._2)
- CaseInsensitiveMap(dedupPrimitiveFields)
- }
+ // Different with Parquet case, for case insensitive analysis, we will set
+ // `OrcConf.IS_SCHEMA_EVOLUTION_CASE_SENSITIVE`. So we don't need to worry
about
Review comment:
The test was added in #29427. Seems ORC library doesn't process pushed
predicate in case-insensitive approach as expected.
That's said, even `OrcConf.IS_SCHEMA_EVOLUTION_CASE_SENSITIVE ` is set to
false at Spark ORC datasource, the column names in pushed predicates are
matched in case-sensitive way.
This is shown in the added test.
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