spark-issues mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From "Wenchen Fan (JIRA)" <j...@apache.org>
Subject [jira] [Assigned] (SPARK-20590) Map default input data source formats to inlined classes
Date Wed, 10 May 2017 05:50:04 GMT

     [ https://issues.apache.org/jira/browse/SPARK-20590?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Wenchen Fan reassigned SPARK-20590:
-----------------------------------

    Assignee: Hyukjin Kwon

> Map default input data source formats to inlined classes
> --------------------------------------------------------
>
>                 Key: SPARK-20590
>                 URL: https://issues.apache.org/jira/browse/SPARK-20590
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 2.2.0
>            Reporter: Sameer Agarwal
>            Assignee: Hyukjin Kwon
>             Fix For: 2.2.1, 2.3.0
>
>
> One of the common usability problems around reading data in spark (particularly CSV)
is that there can often be a conflict between different readers in the classpath.
> As an example, if someone launches a 2.x spark shell with the spark-csv package in the
classpath, Spark currently fails in an extremely unfriendly way
> {code}
> ./bin/spark-shell --packages com.databricks:spark-csv_2.11:1.5.0
> scala> val df = spark.read.csv("/foo/bar.csv")
> java.lang.RuntimeException: Multiple sources found for csv (org.apache.spark.sql.execution.datasources.csv.CSVFileFormat,
com.databricks.spark.csv.DefaultSource15), please specify the fully qualified class name.
>   at scala.sys.package$.error(package.scala:27)
>   at org.apache.spark.sql.execution.datasources.DataSource$.lookupDataSource(DataSource.scala:574)
>   at org.apache.spark.sql.execution.datasources.DataSource.providingClass$lzycompute(DataSource.scala:85)
>   at org.apache.spark.sql.execution.datasources.DataSource.providingClass(DataSource.scala:85)
>   at org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:295)
>   at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:178)
>   at org.apache.spark.sql.DataFrameReader.csv(DataFrameReader.scala:533)
>   at org.apache.spark.sql.DataFrameReader.csv(DataFrameReader.scala:412)
>   ... 48 elided
> {code}
> This JIRA proposes a simple way of fixing this error by always mapping default input
data source formats to inlined classes (that exist in Spark).
> {code}
> ./bin/spark-shell --packages com.databricks:spark-csv_2.11:1.5.0
> scala> val df = spark.read.csv("/foo/bar.csv")
> df: org.apache.spark.sql.DataFrame = [_c0: string]
> {code}



--
This message was sent by Atlassian JIRA
(v6.3.15#6346)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org


Mime
View raw message