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Simple Numpy example in Spark
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| import numpy as np | |
| from pyspark import SparkContext | |
| from pyspark import SparkConf | |
| conf = SparkConf() | |
| conf.setMaster("spark://<HOSTNAME>:7077") | |
| conf.setAppName("NumpyMult") | |
| sc = SparkContext(conf=conf) | |
| def mult(x): | |
| y = np.array([2]) | |
| return x*y | |
| x = np.arange(10000) | |
| distData = sc.parallelize(x) | |
| results = distData.map(mult).collect() | |
| print results |
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