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From "Sean Owen (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-22936) providing HttpStreamSource and HttpStreamSink
Date Wed, 03 Jan 2018 14:00:16 GMT

    [ https://issues.apache.org/jira/browse/SPARK-22936?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16309682#comment-16309682
] 

Sean Owen commented on SPARK-22936:
-----------------------------------

The typical place to list these is https://spark-packages.org/

> providing HttpStreamSource and HttpStreamSink
> ---------------------------------------------
>
>                 Key: SPARK-22936
>                 URL: https://issues.apache.org/jira/browse/SPARK-22936
>             Project: Spark
>          Issue Type: New Feature
>          Components: Structured Streaming
>    Affects Versions: 2.1.0
>            Reporter: bluejoe
>
> Hi, in my project I completed a spark-http-stream, which is now available on https://github.com/bluejoe2008/spark-http-stream.
I am thinking if it is useful to others and is ok to be integrated as a part of Spark.
> spark-http-stream transfers Spark structured stream over HTTP protocol. Unlike tcp streams,
Kafka streams and HDFS file streams, http streams often flow across distributed big data centers
on the Web. This feature is very helpful to build global data processing pipelines across
different data centers (scientific research institutes, for example) who own separated data
sets.
> The following code shows how to load messages from a HttpStreamSource:
> ```
> val lines = spark.readStream.format(classOf[HttpStreamSourceProvider].getName)
> 	.option("httpServletUrl", "http://localhost:8080/xxxx")
> 	.option("topic", "topic-1");
> 	.option("includesTimestamp", "true")
> 	.load();
> ```



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