[jira] [Resolved] (SPARK-32962) Spark Streaming

["Hyukjin Kwon (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-32962?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon resolved SPARK-32962.
----------------------------------
    Resolution: Invalid

Looks more like a question. Let's ask it to the mailing list to get some advice before filing it as an issue. See also https://spark.apache.org/community.html

> Spark Streaming
> ---------------
>
>                 Key: SPARK-32962
>                 URL: https://issues.apache.org/jira/browse/SPARK-32962
>             Project: Spark
>          Issue Type: Bug
>          Components: DStreams
>    Affects Versions: 2.4.5
>            Reporter: Amit Menashe
>            Priority: Trivial
>
> Hey there,
> I'm using this spark streaming job which integrated with Kafka (and manage its offsets commitions at Kafka itself),
> The problem is when I have a failure I want to repeat the work on  those offset ranges (that something went wrong with them) , therefore I catch the exception and NOT commit (with commitAsync) this range.
> However I notice it keeps proceeding (without any commit made).
> moreover I removed later all the commitAsync calls and I the stream keep proceeding!
> I guess there might be any inner cache or something that helps the streaming job to consume the entries from Kafka.
>  
> Could you please advice?



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