Github user MaxGekk commented on a diff in the pull request:
https://github.com/apache/spark/pull/20727#discussion_r173633651
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/HadoopFileLinesReader.scala
---
@@ -30,9 +31,19 @@ import
org.apache.hadoop.mapreduce.task.TaskAttemptContextImpl
/**
* An adaptor from a [[PartitionedFile]] to an [[Iterator]] of [[Text]],
which are all of the lines
* in that file.
+ *
+ * @param file A part (i.e. "block") of a single file that should be read
line by line.
+ * @param lineSeparator A line separator that should be used for each
line. If the value is `None`,
+ * it covers `\r`, `\r\n` and `\n`.
+ * @param conf Hadoop configuration
*/
class HadoopFileLinesReader(
- file: PartitionedFile, conf: Configuration) extends Iterator[Text]
with Closeable {
+ file: PartitionedFile,
+ lineSeparator: Option[String],
+ conf: Configuration) extends Iterator[Text] with Closeable {
--- End diff --
Some methods of Hadoop's Text have such assumption about UTF-8 encoding. In
general a datasource could eliminate the restriction by using the Text class as
container of raw bytes and calling methods like **getBytes()** and
**getLength()**.
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