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Class: matlab.compiler.mlspark.RDD
Namespace: matlab.compiler.mlspark

Return an RDD of grouped items


result = groupBy(obj,func,numPartitions)


result = groupBy(obj,func,numPartitions) groups the elements of obj according a user-specified criteria denoted by func. 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.

Function performing grouping, 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 grouped elements of the input RDD, returned as a RDD object.


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Groups the elements of an RDD according a user-specified criteria.

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

%% groupBy
inRDD = sc.parallelize({1,2,3,4,5});
outRDD = inRDD.groupBy(@(x)(mod(x,2))).collect(); % {{0,{2,4}},{1,{1,3,5}

Version History

Introduced in R2016b