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Class: matlab.compiler.mlspark.RDD
Package: matlab.compiler.mlspark

Merge the values for each key using an associative function and a neutral “zero value”


result = foldByKey(obj,zeroValue,func,numPartitions)


result = foldByKey(obj,zeroValue,func,numPartitions) merges the values for each key in obj using an associative function func and a neutral “zero value” represented by zeroValue. The input argument numPartitions specifies the number of partitions to create in the resulting RDD.

Input Arguments

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An input RDD, specified as a RDD object.

A neutral “zero value”, specified as a cell array of numbers.

Data Types: cell

Function for folding the values of each key, specified as a function handle.

Data Types: function_handle

Number of partitions to create, specified as a scalar value.

Data Types: double

Output Arguments

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A pipelined RDD containing the aggregation result, returned as a RDD object.


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%% Connect to Spark
sparkProp = containers.Map({'spark.executor.cores'}, {'1'});
conf = matlab.compiler.mlspark.SparkConf('AppName','myApp', ...
sc = matlab.compiler.mlspark.SparkContext(conf);

%% foldByKey
x = sc.parallelize({ {'a',1}, {'b',1}, {'a',1} });
y = x.foldByKey(5, @(x,y)(x+y));
viewRes = y.collect() % {{'a',7},{'b',6}}

Version History

Introduced in R2016b