Github user liancheng commented on a diff in the pull request:
https://github.com/apache/spark/pull/11934#discussion_r57421991
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/FileSourceStrategy.scala
---
@@ -57,9 +57,10 @@ import org.apache.spark.sql.types._
private[sql] object FileSourceStrategy extends Strategy with Logging {
def apply(plan: LogicalPlan): Seq[SparkPlan] = plan match {
case PhysicalOperation(projects, filters, l@LogicalRelation(files:
HadoopFsRelation, _, _))
- if (files.fileFormat.toString == "TestFileFormat" ||
- files.fileFormat.isInstanceOf[parquet.DefaultSource]) &&
- files.sqlContext.conf.parquetFileScan =>
+ if files.fileFormat.toString == "TestFileFormat" ||
+ (files.fileFormat.isInstanceOf[parquet.DefaultSource] &&
+ files.sqlContext.conf.parquetFileScan) ||
+ files.fileFormat.isInstanceOf[text.DefaultSource] =>
--- End diff --
No need to be addressed in this PR, but we should probably have a more
general way to do this kind of data source dispatching. For example, ORC is in
the hive package and can't be directly referenced here.
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