[jira] [Created] (SPARK-22146) FileNotFoundException while reading ORC files containing '%'

["Marco Gaido (JIRA)" <ji...@apache.org>]

Marco Gaido created SPARK-22146:
-----------------------------------

             Summary: 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


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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