You are viewing a plain text version of this content. The canonical link for it is here.

Posted to issues@spark.apache.org by "Chris Parmer (JIRA)" <ji...@apache.org> on 2016/09/06 03:32:20 UTC

[jira] [Created] (SPARK-17407) Unable to update structured stream from CSV

Chris Parmer created SPARK-17407:
------------------------------------

             Summary: Unable to update structured stream from CSV
                 Key: SPARK-17407
                 URL: https://issues.apache.org/jira/browse/SPARK-17407
             Project: Spark
          Issue Type: Question
          Components: PySpark
    Affects Versions: 2.0.0
         Environment: Mac OSX
Spark 2.0.0
            Reporter: Chris Parmer
            Priority: Trivial


I am creating a simple example of a Structured Stream from a CSV file with an in-memory output stream.
When I add rows the CSV file, my output stream does not update with the new data. From this example: https://databricks-prod-cloudfront.cloud.databricks.com/public/4027ec902e239c93eaaa8714f173bcfc/4012078893478893/3202384642551446/5985939988045659/latest.html, I expected that subsequent queries on the same output stream would contain updated results.

Here is a reproducable code example: https://plot.ly/~chris/17703

Thanks for the help here!



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

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