spark-issues mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From "bluejoe (JIRA)" <>
Subject [jira] [Commented] (SPARK-22936) providing HttpStreamSource and HttpStreamSink
Date Wed, 03 Jan 2018 06:57:00 GMT


bluejoe commented on SPARK-22936:

The latest spark-http-stream artifact has been released to the central maven repository and
is free to use in any java/scala projects.

I will be appreciated that spark-http-stream is listed as a third-party Source/Sink in Spark

> providing HttpStreamSource and HttpStreamSink
> ---------------------------------------------
>                 Key: SPARK-22936
>                 URL:
>             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
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
> 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();
> ```

This message was sent by Atlassian JIRA

To unsubscribe, e-mail:
For additional commands, e-mail:

View raw message