July 2017
Intermediate to advanced
796 pages
18h 55m
English
Content preview from Scala and Spark for Big Data Analytics
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Standalone
By specifying a Spark configuration local URL, it is possible to have the application run locally. By specifying local[n], it is possible to have Spark use n threads to run the application locally. This is a useful development and test option because you can also test some sort of parallelization scenarios but keep all log files on a single machine. The standalone mode uses a basic cluster manager that is supplied with Apache Spark. The spark master URL will be as follows:
spark://<hostname>:7077
Here, <hostname> is the name of the host on which the Spark master is running. I have specified 7077 as the port, which is the default value, but it is configurable. This simple cluster manager currently only supports FIFO (first in first ...
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