coalesce

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

Reduce the number of partitions in an RDD

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Syntax

result = coalesce(obj,numPartitions,doShuffle)

Description

result = coalesce(obj,numPartitions,doShuffle) reduces the number of partitions in an RDD to a number specified by numPartitions.

Input Arguments

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An input RDD, specified as a RDD object.

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

Data Types: double

Specify whether shuffle must be performed or not. By default doShuffle is set to false.

Data Types: logical

Output Arguments

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An RDD with reduced number of partitions, returned as a RDD object.

Examples

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%% 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);

%% coalesce
inputRDD = sc.parallelize({'A','B','C','A','B'},2);
redRDD= inputRDD.map(@(x)({x,1})).reduceByKey(@(x,y)(x+y),3);
coaRDD = redRDD.checkpoint(2);
viewRes = coaRDD.glom.collect() % {{{'B',2}},{{'C',1},{'A',2}}}

See Also

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Introduced in R2016b

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