Github user dongjoon-hyun commented on a diff in the pull request:
https://github.com/apache/spark/pull/22157#discussion_r212373914
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/orc/OrcUtils.scala
---
@@ -79,9 +79,10 @@ object OrcUtils extends Logging {
val ignoreCorruptFiles =
sparkSession.sessionState.conf.ignoreCorruptFiles
val conf = sparkSession.sessionState.newHadoopConf()
// TODO: We need to support merge schema. Please see SPARK-11412.
- files.map(_.getPath).flatMap(readSchema(_, conf,
ignoreCorruptFiles)).headOption.map { schema =>
- logDebug(s"Reading schema from file $files, got Hive schema string:
$schema")
-
CatalystSqlParser.parseDataType(schema.toString).asInstanceOf[StructType]
+ files.toIterator.map(file => readSchema(file.getPath, conf,
ignoreCorruptFiles)).collectFirst {
+ case Some(schema) =>
+ logDebug(s"Reading schema from file $files, got Hive schema
string: $schema")
+
CatalystSqlParser.parseDataType(schema.toString).asInstanceOf[StructType]
--- End diff --
@viirya . The corrupt files are not ignored. Spark will throw
`SparkException` while reading the content.
> Now if Orc source reads the first valid schema, it doesn't read other Orc
files further. So the corrupt files are ignored when
SQLConf.IGNORE_CORRUPT_FILES is false.
---
---------------------------------------------------------------------
To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org
For additional commands, e-mail: reviews-h...@spark.apache.org
