The output will be a new directory called “spark_001”. By adding coalesce(1) you are telling Spark to use a single partition. Map.reduceByKey(_+_)squashes the collection of tuples so that any duplicate keys are removed, yet, the number (1) is added with the previous number associated with the same key.Ĭalesce(1).saveAsTextFile("/home/pi/Desktop/spark_001") writes the result of the counts to a text file for you to see.
The 1 indicates that this word occurred 1 time.
Next, each and every word that comes from our flatMap will be joined in a tuple with the value of the string and a 1. Sc.textFile("/home/pi/Documents/hello_world")will access the text file and emit each of the lines from the file, splitting on the end of the line.įlatMap(line => line.split(" ")).map(word => (word, 1))takes each of the lines from the text file and breaks them into words, by splitting each line on the empty space. Var map = sc.textFile("/home/pi/Documents/hello_world").flatMap(line => line.split(" ")).map(word => (word, 1)) Ĭalesce(1).saveAsTextFile("/home/pi/Desktop/spark_001") Īssuming that the text file contains something like. Especially if your RPi has been sitting for a while.
#DOWNLOAD SPARK APACHE INSTALL#
It’s always a good idea to fetch and install the latest updates before starting a new project. With only a few simple steps you can setup Apache Spark on the Raspberry Pi 4 (Raspbian) as a standalone instance and run through a few demos to get a feel for the potential being Apache Spark.īy copying the examples given, you can get everything working in less than 10 minutes.
#DOWNLOAD SPARK APACHE HOW TO#
In another tutorial, you can learn how to set up Apache Kafka on your Raspberry Pi. With the recent performance and memory increase, the Raspberry Pi is able to host components of enterprise applications. Since the release of the Raspberry Pi 4 (4gb+), the Pi has become increasingly capable of running projects larger than a personal website or robotics playground. These APIs let you make quick work of batch or streaming data processing. Apache Spark has APIs for major programming languages such as Scala, Java, and Python. Apache Spark is an analytics engine that allows for data processing with a standalone configuration or distributed enterprise setup.
0 kommentar(er)
