Github user zjffdu commented on a diff in the pull request:
https://github.com/apache/spark/pull/9657#discussion_r51227540
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/ResolvedDataSource.scala
---
@@ -235,11 +236,18 @@ object ResolvedDataSource extends Logging {
// For partitioned relation r, r.schema's column ordering can be
different from the column
// ordering of data.logicalPlan (partition columns are all moved
after data column). This
// will be adjusted within InsertIntoHadoopFsRelation.
+
+ val codec = options.get("compression.codec").flatMap(e =>
+ Some(new
CompressionCodecFactory(sqlContext.sparkContext.hadoopConfiguration)
+ .getCodecClassByName(e).asInstanceOf[Class[CompressionCodec]])
--- End diff --
Since user can only set compression through
DataFrameWriter.compress(codec), it is very unlikely to set a unknown codec
name. Even user set a unknown codec, I think it is fine to just throw exception
on driver side.
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