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https://issues.apache.org/jira/browse/FLINK-2558?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14708114#comment-14708114
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ASF GitHub Bot commented on FLINK-2558:
---------------------------------------

Github user aljoscha commented on a diff in the pull request:

    https://github.com/apache/flink/pull/1040#discussion_r37697987
  
    --- Diff: docs/apis/streaming_guide.md ---
    @@ -1517,11 +1517,24 @@ Stream connectors
     ----------------
     
     <!-- TODO: reintroduce flume -->
    -Connectors provide an interface for accessing data from various third 
party sources (message queues). Currently three connectors are natively 
supported, namely [Apache Kafka](https://kafka.apache.org/),  
[RabbitMQ](http://www.rabbitmq.com/) and the [Twitter Streaming 
API](https://dev.twitter.com/docs/streaming-apis).
    +Connectors provide code for interfacing with various third-party systems.
    +Currently these systems are supported:
     
    -Typically the connector packages consist of a source and sink class (with 
the exception of Twitter where only a source is provided). To use these sources 
the user needs to pass Serialization/Deserialization schemas for the connectors 
for the desired types. (Or use some predefined ones)
    + * [Apache Kafka](https://kafka.apache.org/)
    --- End diff --
    
    The source/sink would be helpful. The documentation might need a 
restructure anyways. The information about sources/sinks is scattered across 
the "Connecting to the Outside World" and "Connectors" sections.


> Add Streaming Connector for Elasticsearch
> -----------------------------------------
>
>                 Key: FLINK-2558
>                 URL: https://issues.apache.org/jira/browse/FLINK-2558
>             Project: Flink
>          Issue Type: Improvement
>          Components: Streaming
>            Reporter: Aljoscha Krettek
>            Assignee: Aljoscha Krettek
>             Fix For: 0.10
>
>
> We should add a sink that can write to Elasticsearch. A source does not seem 
> necessary because Elasticsearch would mostly be used for accessing results, 
> for example using a dashboard.



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