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Posted to issues@spark.apache.org by "bluejoe (JIRA)" <ji...@apache.org> on 2018/01/02 06:00:00 UTC

[jira] [Created] (SPARK-22936) providing HttpStreamSource and HttpStreamSink

bluejoe created SPARK-22936:
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             Summary: 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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