Github user marmbrus commented on a diff in the pull request:
https://github.com/apache/spark/pull/11646#discussion_r55881083
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/sources/interfaces.scala ---
@@ -454,19 +454,60 @@ trait FileFormat {
requiredColumns: Array[String],
filters: Array[Filter],
bucketSet: Option[BitSet],
- inputFiles: Array[FileStatus],
+ inputFiles: Seq[FileStatus],
broadcastedConf: Broadcast[SerializableConfiguration],
options: Map[String, String]): RDD[InternalRow]
+
+ /**
+ * Returns a function that can be used to read a single file in as an
Iterator of InternalRow.
+ *
+ * @param partitionSchema The schema of the partition column row that
will be present in each
+ * PartitionedFile. These columns should be
prepended to the rows that
+ * are produced by the iterator.
+ * @param dataSchema The schema of the data that should be output for
each row. This may be a
+ * subset of the columns that are present in the file
if column pruning has
+ * occurred.
+ * @param filters A set of filters than can optionally be used to reduce
the number of rows output
+ * @param options A set of string -> string configuration options.
+ * @return
+ */
+ def buildReader(
+ sqlContext: SQLContext,
+ partitionSchema: StructType,
+ dataSchema: StructType,
+ filters: Seq[Filter],
+ options: Map[String, String]): PartitionedFile =>
Iterator[InternalRow] = {
--- End diff --
@rxin @nongli
Should we make this our own iterator (i.e. w/ `close()` w/o `hasNext())?
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