Github user cloud-fan commented on a diff in the pull request:
https://github.com/apache/spark/pull/11756#discussion_r56298666
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/DataFrameReader.scala ---
@@ -288,6 +288,9 @@ class DataFrameReader private[sql](sqlContext:
SQLContext) extends Logging {
* </li>
* <li>`allowNumericLeadingZeros` (default `false`): allows leading
zeros in numbers
* (e.g. 00012)</li>
+ * <li>`mode` (default `PERMISSIVE`): allows a mode for dealing with
corrupt records
+ * during parsing. When fails to parse, `PERMISSIVE` mode sets `null`,
`DROPMALFORMED` drops the
+ * record and `FAILFAST` throws an exception.<li>
--- End diff --
I think we need to say more about these 3 modes. From the tests, it looks
to me that:
* `PERMISSIVE` mode will set other fields to null when meet a corrupted
record, and put the malformed string into a new field configured by
`spark.sql.columnNameOfCorruptRecord`.
* `DROPMALFORMED` mode will ignore corrupted records and append a new field
which is always null to the output.
* `FAILFAST` mode will throw an exception.
It will be better if you can expand this doc and add some examples.
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