cloud-fan commented on a change in pull request #31489:
URL: https://github.com/apache/spark/pull/31489#discussion_r572042040
##########
File path:
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/parquet/ParquetPartitionReaderFactory.scala
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@@ -52,14 +52,16 @@ import org.apache.spark.util.SerializableConfiguration
* @param readDataSchema Required schema of Parquet files.
* @param partitionSchema Schema of partitions.
* @param filters Filters to be pushed down in the batch scan.
+ * @param parquetOptions The options of Parquet datasource that are set for
the read.
*/
case class ParquetPartitionReaderFactory(
sqlConf: SQLConf,
broadcastedConf: Broadcast[SerializableConfiguration],
dataSchema: StructType,
readDataSchema: StructType,
partitionSchema: StructType,
- filters: Array[Filter]) extends FilePartitionReaderFactory with Logging {
+ filters: Array[Filter],
+ parquetOptions: ParquetOptions) extends FilePartitionReaderFactory with
Logging {
Review comment:
Does it really work? The 2 fields of `ParquetOptions` are `transient`,
and become null after (de)serialization.
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