Github user cloud-fan commented on a diff in the pull request:
https://github.com/apache/spark/pull/22237#discussion_r224069683
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/FailureSafeParser.scala
---
@@ -15,50 +15,57 @@
* limitations under the License.
*/
-package org.apache.spark.sql.execution.datasources
+package org.apache.spark.sql.catalyst.util
import org.apache.spark.SparkException
import org.apache.spark.sql.catalyst.InternalRow
import org.apache.spark.sql.catalyst.expressions.GenericInternalRow
-import org.apache.spark.sql.catalyst.util._
-import org.apache.spark.sql.internal.SQLConf
-import org.apache.spark.sql.types.StructType
+import org.apache.spark.sql.types.{DataType, StructType}
import org.apache.spark.unsafe.types.UTF8String
class FailureSafeParser[IN](
--- End diff --
It's not about the real business logic, but an idea to make the code
simpler.
```
val parserSchema = nullableSchema match {
case s: StructType => s
case other => new StructType("value", other)
}
new FailureSafeParser[UTF8String](
input => rawParser.parse(input, createParser, identity[UTF8String]),
mode,
parserSchema,
parsedOptions.columnNameOfCorruptRecord,
parsedOptions.multiLine)
```
Then we don't need to change `FailureSafeParser`
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