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https://issues.apache.org/jira/browse/SPARK-8458?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Cheng Lian resolved SPARK-8458.
-------------------------------
Resolution: Fixed
Resolved by https://github.com/apache/spark/pull/6892
> ORC data source can only write to the file system defined in Hadoop
> configuration
> ---------------------------------------------------------------------------------
>
> Key: SPARK-8458
> URL: https://issues.apache.org/jira/browse/SPARK-8458
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.4.0
> Reporter: Cheng Lian
> Assignee: Cheng Lian
> Priority: Blocker
>
> To reproduce this issue, we first define {{fs.default.name}} in Hadoop
> {{core-site.xml}}:
> {noformat}
> <configuration>
> ...
> <property>
> <name>fs.default.name</name>
> <value>hdfs://localhost:9000</value>
> </property>
> ...
> </configuration>
> {noformat}
> Then execute the following Spark shell snippet:
> {code}
> sqlContext.range(0,
> 10).coalesce(1).write.mode("overwrite").format("orc").save("file:///tmp/foo")
> {code}
> The write job succeeds, but you can only find {{_SUCCESS}} under
> {{file:///tmp/foo}}. Data files are actually written to HDFS directory
> {{/tmp/foo/_temporary}} and left uncommitted.
> The reason is that, [this
> line|https://github.com/apache/spark/blob/9b2002722273f98e193ad6cd54c9626292ab27d1/sql/hive/src/main/scala/org/apache/spark/sql/hive/orc/OrcRelation.scala#L113]
> uses {{Path.toUri.getPath}} rather than {{Path.toString}} to pass the path
> string to {{OrcRecordWriter}} constructor, and this essentially strips the
> scheme part of the path.
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