flatMapValues

R2026b

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

(To be removed) Pass each value in the key-value pair RDD through a flatMap method without changing the keys

matlab.compiler.mlspark.RDD.flatMapValues will be removed in a future release. There is no replacement functionality. For more information, see Version History.

Syntax

result = flatMapValues(obj,func)


Description

result = flatMapValues(obj,func) passes each value in a key-value pair RDD obj through the flatMap method without changing the keys. func represents the function to be applied by the flatMap method.

Input Arguments

obj — Input RDD

RDD object

An input RDD on which a transformation function is applied, specified as a RDD object.

func — Function to apply to each element

function handle

Function to be applied to each element in the input RDD, specified as a function handle.

Example:

Data Types: function_handle

Output Arguments

result — Output RDD

RDD object

An output pipelined RDD, returned as a RDD object.

Examples

Tokenize an RDD

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

%% flatMapValues
inRDD = sc.parallelize({ {'AA', {1,2,3}}, {'BB',3}, {'CC', {'cc',4}} });
f = @(x)(x);
out = inRDD.flatMapValues(f).collect();
% out : {{'AA',1},{'AA',2},{'AA',3},{'BB',3},{'CC','cc'},{'CC',4}}

Version History

Introduced in R2016b

R2026b: To be removed

Support for deploying applications using the MATLAB API for Spark™ will be removed in a future release. There is no replacement functionality.