Github user lw-lin commented on the issue: https://github.com/apache/spark/pull/14118 Here are some findings as I dug a little: 1. Since https://github.com/databricks/spark-csv/pull/102(Jul, 2015), we would cast `""` as `null` for all types other than strings. For strings, `""` would still be `""`; 2. Then we had added `treatEmptyValuesAsNulls` in https://github.com/databricks/spark-csv/pull/147(Sep, 2015), after which, `""` would be `null` when `treatEmptyValuesAsNulls == true` and would be still `""` otherwise; 3. Then we had added `nullValue` in https://github.com/databricks/spark-csv/pull/224(Dec, 2015), so people could specify some string like `"MISSING"` other than the default `""` to represent null values. Then after the above 1.2.3., we have the following, which seems reasonable and is backward-compatible: <table> <tr> <td align="center"></td> <td align="center">(default) when <i>nullVale == ""</i></td> <td align="center">when <i>nullValue == "MISSING"</i></td> </tr> <tr> <td align="center">(default) when <i>treatEmptyValuesAsNulls == false</i></td> <td align="center">"" would cast to ""</td> <td align="center">"" would cast to ""</td> </tr> <tr> <td align="center">when <i>treatEmptyValuesAsNulls == true</i></td> <td align="center">"" would cast to null</td> <td align="center">"" would cast to ""</td> </tr> </table> However we don't have this `treatEmptyValuesAsNulls` in Spark 2.0. @falaki would it be OK with you if I add it back?
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