izchen commented on a change in pull request #29862:
URL: https://github.com/apache/spark/pull/29862#discussion_r494817447
##########
File path:
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/csv/CSVUtils.scala
##########
@@ -93,6 +93,12 @@ object CSVUtils {
value
}
}
+ if (header.sameElements(row)) {
+ header
+ } else {
+ // Ensure that the newly generated and existing headers are not
duplicated.
+ makeSafeHeader(header, caseSensitive, options)
+ }
Review comment:
Current behavior of Spark and R for CSV headers:
| CSV | SPARK | R |
| --------------- | ----------------- | --------------- |
| `a,a,a,a` | `a0,a1,a2,a3` | `a,a.1,a.2,a.3` |
| `a,,,` | `a,_c1,_c2,_c3` | `a,X,X.1,X.2` |
| *header: false* | `_c0,_c1,_c2,_c3` | `V1,V2,V3,V4` |
If we follow R's behavior, we will introduce a user-facing change. This may
cause errors in the user's legacy code.
Maybe we should keep the behavior of Spark.
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