Github user cloud-fan commented on a diff in the pull request:
https://github.com/apache/spark/pull/16928#discussion_r102363460
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/csv/CSVFileFormat.scala
---
@@ -96,31 +96,44 @@ class CSVFileFormat extends TextBasedFileFormat with
DataSourceRegister {
filters: Seq[Filter],
options: Map[String, String],
hadoopConf: Configuration): (PartitionedFile) =>
Iterator[InternalRow] = {
- val csvOptions = new CSVOptions(options,
sparkSession.sessionState.conf.sessionLocalTimeZone)
-
+ CSVUtils.verifySchema(dataSchema)
val broadcastedHadoopConf =
sparkSession.sparkContext.broadcast(new
SerializableConfiguration(hadoopConf))
+ val parsedOptions = new CSVOptions(
+ options,
+ sparkSession.sessionState.conf.sessionLocalTimeZone,
+ sparkSession.sessionState.conf.columnNameOfCorruptRecord)
+
+ // Check a field requirement for corrupt records here to throw an
exception in a driver side
+ dataSchema.getFieldIndex(parsedOptions.columnNameOfCorruptRecord).map
{ corruptFieldIndex =>
+ val f = dataSchema(corruptFieldIndex)
+ if (f.dataType != StringType || !f.nullable) {
+ throw new AnalysisException(
+ "A field for corrupt records must be a string type and nullable")
--- End diff --
nit: `The field for corrupt records must be string type and nullable`
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