jonvex commented on code in PR #13503:
URL: https://github.com/apache/hudi/pull/13503#discussion_r2238008163
##########
hudi-spark-datasource/hudi-spark-common/src/main/scala/org/apache/spark/sql/FileFormatUtilsForFileGroupReader.scala:
##########
@@ -124,4 +124,11 @@ object FileFormatUtilsForFileGroupReader extends
SparkAdapterSupport {
plan
}
}
+
+ def createStreamingDataFrame(sqlContext: SQLContext, relation:
HadoopFsRelation, requiredSchema: StructType): DataFrame = {
+ val logRel = LogicalRelation(relation, isStreaming = true)
+ val resolvedSchema = logRel.resolve(requiredSchema,
sqlContext.sparkSession.sessionState.analyzer.resolver)
+ Dataset.ofRows(sqlContext.sparkSession, applyFiltersToPlan(logRel,
requiredSchema, resolvedSchema,
+ relation.fileFormat.asInstanceOf[HoodieFormatTrait].getRequiredFilters))
Review Comment:
I don't know of a way.
```
case class HadoopFsRelation(
location: FileIndex,
partitionSchema: StructType,
// The top-level columns in `dataSchema` should match the actual
physical file schema, otherwise
// the ORC data source may not work with the by-ordinal mode.
dataSchema: StructType,
bucketSpec: Option[BucketSpec],
fileFormat: FileFormat,
options: Map[String, String])(val sparkSession: SparkSession)
```
It's not really post processing though, because it still happens in the
analysis stage.
https://github.com/apache/hudi/pull/10225
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