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Posted to issues@spark.apache.org by "Sean Owen (JIRA)" <ji...@apache.org> on 2016/08/03 11:53:20 UTC
[jira] [Commented] (SPARK-16874) CSV Reader : Can't resolve column
name with a point
[ https://issues.apache.org/jira/browse/SPARK-16874?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15405778#comment-15405778 ]
Sean Owen commented on SPARK-16874:
-----------------------------------
Sounds related to if not a duplicate of things like https://issues.apache.org/jira/browse/SPARK-12988 I think you have to back-tick columns like this now? It's not necessarily true that behavior is the same across major releases.
> CSV Reader : Can't resolve column name with a point
> ---------------------------------------------------
>
> Key: SPARK-16874
> URL: https://issues.apache.org/jira/browse/SPARK-16874
> Project: Spark
> Issue Type: Bug
> Components: Input/Output
> Affects Versions: 2.0.0
> Reporter: Abou Haydar Elias
> Priority: Minor
>
> I was porting some code I had from spark 1.6.2 to 2.0.0 and while reading a CSV file, I've stumbled into the following error :
> {code} org.apache.spark.sql.AnalysisException: Unable to resolve row.names given [row.names, sbp, tobacco, ldl, adiposity, famhist, typea, obesity, alcohol, age, chd];
> {code}
> There is is of course a work around using a predefined schema but it's not very practical if there is lots of columns
> I've provided in the following link code snippets that can generate the error for spark 2.0 and another that show how it works perfectly with 1.6.2 using the spark-csv package :
> https://gist.github.com/eliasah/5dfc6bc8ddcbe920311049e37a58855b
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