Github user HyukjinKwon commented on a diff in the pull request:
https://github.com/apache/spark/pull/16319#discussion_r92913320
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/csv/CSVInferSchema.scala
---
@@ -246,9 +246,9 @@ private[csv] object CSVTypeCast {
} else {
castType match {
case _: ByteType => datum.toByte
- case _: ShortType => datum.toShort
- case _: IntegerType => datum.toInt
- case _: LongType => datum.toLong
+ case _: ShortType => Try(datum.toShort).getOrElse(null)
+ case _: IntegerType => Try(datum.toInt).getOrElse(null)
+ case _: LongType => Try(datum.toLong).getOrElse(null)
--- End diff --
So, I guess you meant when the actual data is empty string and `nullValue`
is other values such as `NA` and in this case, they should be translated into
`null` when the `mode` is `PERMISSIVE`.
Then, this is a exact duplicate of
https://issues.apache.org/jira/browse/SPARK-18699. You could resolve the
current JIRA as a duplicate and then fix the title to `[SPARK-18699] ...` with
some changes suggested there.
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