July 2017
Intermediate to advanced
796 pages
18h 55m
English
Content preview from Scala and Spark for Big Data Analytics
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PySpark
PySpark uses Python-based SparkContext and Python scripts as tasks and then uses sockets and pipes to executed processes to communicate between Java-based Spark clusters and Python scripts. PySpark also uses Py4J, which is a popular library integrated within PySpark that lets Python interface dynamically with Java-based RDDs.
Python must be installed on all worker nodes running the Spark executors.
The following is how PySpark works by communicating between Java processed and Python scripts:
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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.