Github user liancheng commented on a diff in the pull request:
https://github.com/apache/spark/pull/12319#discussion_r60365527
--- Diff:
sql/hive/src/main/scala/org/apache/spark/sql/hive/orc/OrcRelation.scala ---
@@ -160,19 +160,22 @@ private[sql] class DefaultSource
val job = Job.getInstance(conf)
FileInputFormat.setInputPaths(job, file.filePath)
- val inputFormat = new OrcNewInputFormat
val fileSplit = new FileSplit(
new Path(new URI(file.filePath)), file.start, file.length,
Array.empty
)
-
- val attemptId = new TaskAttemptID(new TaskID(new JobID(),
TaskType.MAP, 0), 0)
- val hadoopAttemptContext = new TaskAttemptContextImpl(conf,
attemptId)
- inputFormat.createRecordReader(fileSplit, hadoopAttemptContext)
+ // Create RecordReader here. This will help in getting
+ // ObjectInspector during recordReader creation itself and can
+ // avoid NN call in unwrapOrcStructs to get ObjectInspector for
the
+ // file. Would be helpful for partitioned datasets.
--- End diff --
It would be good to emphasize that this `OrcRecordReader` is a customized
one. People who are not familiar with ORC may think it's the default ORC record
reader.
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