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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2017/03/04 09:04:45 UTC
[jira] [Commented] (SPARK-19819) Use concrete data in SparkR
DataFrame examples
[ https://issues.apache.org/jira/browse/SPARK-19819?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15895599#comment-15895599 ]
Apache Spark commented on SPARK-19819:
--------------------------------------
User 'actuaryzhang' has created a pull request for this issue:
https://github.com/apache/spark/pull/17161
> Use concrete data in SparkR DataFrame examples
> -----------------------------------------------
>
> Key: SPARK-19819
> URL: https://issues.apache.org/jira/browse/SPARK-19819
> Project: Spark
> Issue Type: Improvement
> Components: SparkR
> Affects Versions: 2.1.0
> Reporter: Wayne Zhang
> Priority: Minor
>
> Many examples in SparkDataFrame methods uses:
> {code}
> path <- "path/to/file.json"
> df <- read.json(path)
> {code}
> This is not directly runnable. Replace this with real numerical examples so that users can directly execute the examples.
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