September 2016
Beginner to intermediate
326 pages
6h 47m
English
Content preview from Big Data AnalyticsBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Advanced concepts of Spark Streaming
Let's go through some of the important advanced concepts of Spark Streaming.
Using DataFrames
We learned Spark SQL and DataFrames in Chapter 4, Big Data Analytics with Spark SQL, DataFrames, and Datasets. There are many use cases where you want to convert DStream and DataFrame to do interactive analytics. RDDs generated by DStreams can be converted to DataFrames and queried with SQL internally within the program or from external SQL clients as well. Refer to the sql_network_wordcount.py program in /usr/lib/spark/examples/lib/streaming for implementing SQL in a Spark Streaming application. You can also start JDBC server within the application with the following code:
HiveThriftServer2.startWithContext(hiveContext) ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.