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Shivaram Venkataraman commented on SPARK-6803: ---------------------------------------------- Thanks [~hlin09]. The PySpark design is a good starting point for the design. However I'm wondering if there are any R-specific paradigms or operations we should be supporting . Do you know of any existing R packages that do streaming / time-series analysis ? [~tdas] [~davies] It'll also be great to know if we have any feedback from streaming users in Python about the API ? > Support SparkR Streaming > ------------------------ > > Key: SPARK-6803 > URL: https://issues.apache.org/jira/browse/SPARK-6803 > Project: Spark > Issue Type: New Feature > Components: SparkR, Streaming > Reporter: Hao > Fix For: 1.4.0 > > > Adds R API for Spark Streaming. > A experimental version is presented in repo [1]. which follows the PySpark > streaming design. Also, this PR can be further broken down into sub task > issues. > [1] https://github.com/hlin09/spark/tree/SparkR-streaming/ -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org