Github user HyukjinKwon commented on a diff in the pull request:
https://github.com/apache/spark/pull/13912#discussion_r68511688
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/csv/CSVRelation.scala
---
@@ -195,18 +202,50 @@ private[sql] class CsvOutputWriter(
private var records: Long = 0L
private val csvWriter = new LineCsvWriter(params,
dataSchema.fieldNames.toSeq)
- private def rowToString(row: Seq[Any]): Seq[String] = row.map { field =>
- if (field != null) {
- field.toString
- } else {
- params.nullValue
+ private def rowToString(row: InternalRow): Seq[String] = {
+ var i = 0
+ val values = new Array[String](row.numFields)
+ while (i < row.numFields) {
--- End diff --
Using funtional transformation generally slower due to virtual function
calls. This part is executed a lot and such over head will become really heavy.
See https://github.com/databricks/scala-style-guide#traversal-and-zipwithindex
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