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Posted to issues@spark.apache.org by "Colin Breame (JIRA)" <ji...@apache.org> on 2018/01/26 08:56:00 UTC

[jira] [Updated] (SPARK-23226) Cannot read CSV file from windows UNC network path

     [ https://issues.apache.org/jira/browse/SPARK-23226?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Colin Breame updated SPARK-23226:
---------------------------------
    Summary: Cannot read CSV file from windows UNC network path  (was: Cannot CSV file from windows UNC network path)

> Cannot read CSV file from windows UNC network path
> --------------------------------------------------
>
>                 Key: SPARK-23226
>                 URL: https://issues.apache.org/jira/browse/SPARK-23226
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 2.1.0
>         Environment: Windows 10
>            Reporter: Colin Breame
>            Priority: Major
>
> An exception is thrown when reading CSV files from a Window UNC path.
>  
> *Example*
> val df = spark.read.csv("//unc/path/to/file.csv")
> *Expected Result*
> The csv file should be read.
> *Actual Result*
> java.io.IOException: No FileSystem for scheme: null
>  at org.apache.hadoop.fs.FileSystem.getFileSystemClass(FileSystem.java:2660)
>  at org.apache.hadoop.fs.FileSystem.createFileSystem(FileSystem.java:2667)
>  at org.apache.hadoop.fs.FileSystem.access$200(FileSystem.java:94)
>  at org.apache.hadoop.fs.FileSystem$Cache.getInternal(FileSystem.java:2703)
>  at org.apache.hadoop.fs.FileSystem$Cache.get(FileSystem.java:2685)
>  at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:373)
>  at org.apache.hadoop.fs.Path.getFileSystem(Path.java:295)
>  at org.apache.spark.sql.execution.datasources.DataSource$$anonfun$14.apply(DataSource.scala:372)
>  at org.apache.spark.sql.execution.datasources.DataSource$$anonfun$14.apply(DataSource.scala:370)
>  at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)
>  at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)
>  at scala.collection.immutable.List.foreach(List.scala:381)
>  at scala.collection.TraversableLike$class.flatMap(TraversableLike.scala:241)
>  at scala.collection.immutable.List.flatMap(List.scala:344)
>  at org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:370)
>  at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:152)
>  at org.apache.spark.sql.DataFrameReader.csv(DataFrameReader.scala:415)
>  at org.apache.spark.sql.DataFrameReader.csv(DataFrameReader.scala:352)
>  ... 48 elided



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