getDefaultReducePartitions

R2026b

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

(To be removed) Get the number of default reduce partitions in an RDD

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

Syntax

numPartitions = getDefaultReducePartitions(obj)


Description

numPartitions = getDefaultReducePartitions(obj) gets the number of default reduce partitions in obj.

Input Arguments

obj — Input RDD

RDD object

An input RDD, specified as an RDD object

Output Arguments

numPartitions — Number of default reduce partitions in the input RDD

scalar value

The number of default reduce partitions in the input RDD, returned as a scalar value.

Examples

Get Default Reduce Partitions

Get the number of default reduce partitions in 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);

%% getDefaultReducePartitions
x = sc.parallelize({1,2,3});
y = x.map(@(x)({x,1}));
z1 = y.reduceByKey(@(a,b)(a+b));
z2 = y.reduceByKey(@(a,b)(a+b), 3);

z1.getDefaultReducePartitions() % ans is 1
z2.getDefaultReducePartitions() % ans is 3, as the 2nd argument to reduceByKey is the number of reduce partitions

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.