July 2017
Intermediate to advanced
796 pages
18h 55m
English
Content preview from Scala and Spark for Big Data Analytics
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Logging with log4j with Spark recap
We have already discussed this topic in Chapter 14, Time to Put Some Order - Cluster Your Data with Spark MLlib. However, let's replay the same contents to make your brain align with the current discussion Debugging Spark applications. As stated earlier, Spark uses log4j for its own logging. If you configured Spark properly, Spark gets logged all the operation to the shell console. A sample snapshot of the file can be seen from the following figure:
Figure 16: A snap of the log4j.properties file
Set the default spark-shell log level to WARN. When running the spark-shell, the log level for this class is used ...
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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.
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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.