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          December 14, 2016 12:30 
        
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    accumulator practice
  
        
  
    
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  | Python 3.4.2 (default, Oct 8 2014, 10:45:20) | |
| [GCC 4.9.1] on linux | |
| Type "help", "copyright", "credits" or "license" for more information. | |
| 16/12/14 12:27:20 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable | |
| Welcome to | |
| ____ __ | |
| / __/__ ___ _____/ /__ | |
| _\ \/ _ \/ _ `/ __/ '_/ | |
| /__ / .__/\_,_/_/ /_/\_\ version 2.0.1 | |
| /_/ | |
| Using Python version 3.4.2 (default, Oct 8 2014 10:45:20) | |
| SparkSession available as 'spark'. | |
| >>> rdd = sc.parallelize([1,2,3]) | |
| >>> | |
| >>> from pyspark.accumulators import AccumulatorParam | |
| >>> class VectorAccumulatorParam(AccumulatorParam): | |
| ... def zero(self, value): | |
| ... return [0.0] * len(value) | |
| ... def addInPlace(self, val1, val2): | |
| ... for i in range(len(val1)): | |
| ... val1[i] += val2[i] | |
| ... return val1 | |
| ... | |
| >>> va = sc.accumulator([1.0, 2.0, 3.0], VectorAccumulatorParam()) | |
| >>> | |
| >>> def g(x): | |
| ... global va | |
| ... va += [x] * 3 | |
| ... | |
| >>> rdd.foreach(g) | |
| >>> va.value | |
| [7.0, 8.0, 9.0] | |
| >>> | 
  
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