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https://issues.apache.org/jira/browse/SPARK-22146?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16186001#comment-16186001
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Apache Spark commented on SPARK-22146:
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User 'mgaido91' has created a pull request for this issue:
https://github.com/apache/spark/pull/19391
> FileNotFoundException while reading ORC files containing '%'
> ------------------------------------------------------------
>
> Key: SPARK-22146
> URL: https://issues.apache.org/jira/browse/SPARK-22146
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.2.0
> Reporter: Marco Gaido
> Assignee: Marco Gaido
> Fix For: 2.3.0
>
>
> Reading ORC files containing "strange" characters like '%' fails with a
> FileNotFoundException.
> For instance, if you have:
> {noformat}
> /tmp/orc_test/folder %3Aa/orc1.orc
> /tmp/orc_test/folder %3Ab/orc2.orc
> {noformat}
> and you try to read the ORC files with:
> {noformat}
> spark.read.format("orc").load("/tmp/orc_test/*/*").show
> {noformat}
> you will get a:
> {noformat}
> java.io.FileNotFoundException: File
> file:/tmp/orc_test/folder%20%253Aa/orc1.orc does not exist
> at
> org.apache.hadoop.fs.RawLocalFileSystem.deprecatedGetFileStatus(RawLocalFileSystem.java:611)
> at
> org.apache.hadoop.fs.RawLocalFileSystem.getFileLinkStatusInternal(RawLocalFileSystem.java:824)
> at
> org.apache.hadoop.fs.RawLocalFileSystem.getFileStatus(RawLocalFileSystem.java:601)
> at
> org.apache.hadoop.fs.FilterFileSystem.getFileStatus(FilterFileSystem.java:421)
> at
> org.apache.spark.deploy.SparkHadoopUtil.listLeafStatuses(SparkHadoopUtil.scala:194)
> at
> org.apache.spark.sql.hive.orc.OrcFileOperator$.listOrcFiles(OrcFileOperator.scala:94)
> at
> org.apache.spark.sql.hive.orc.OrcFileOperator$.getFileReader(OrcFileOperator.scala:67)
> at
> org.apache.spark.sql.hive.orc.OrcFileOperator$$anonfun$readSchema$1.apply(OrcFileOperator.scala:77)
> at
> org.apache.spark.sql.hive.orc.OrcFileOperator$$anonfun$readSchema$1.apply(OrcFileOperator.scala:77)
> at
> scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)
> at
> scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)
> at
> scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
> at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
> at scala.collection.TraversableLike$class.flatMap(TraversableLike.scala:241)
> at scala.collection.AbstractTraversable.flatMap(Traversable.scala:104)
> at
> org.apache.spark.sql.hive.orc.OrcFileOperator$.readSchema(OrcFileOperator.scala:77)
> at
> org.apache.spark.sql.hive.orc.OrcFileFormat.inferSchema(OrcFileFormat.scala:60)
> at
> org.apache.spark.sql.execution.datasources.DataSource$$anonfun$8.apply(DataSource.scala:197)
> at
> org.apache.spark.sql.execution.datasources.DataSource$$anonfun$8.apply(DataSource.scala:197)
> at scala.Option.orElse(Option.scala:289)
> at
> org.apache.spark.sql.execution.datasources.DataSource.getOrInferFileFormatSchema(DataSource.scala:196)
> at
> org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:387)
> at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:190)
> at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:168)
> ... 48 elided
> {noformat}
> Note that the same code works for Parquet and text files.
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