leftOuterJoin

R2026b

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

(To be removed) Perform a left outer join

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

Syntax

result = leftOuterJoin(obj1,obj2,numPartitions)


Description

result = leftOuterJoin(obj1,obj2,numPartitions) performs a left outer join on obj1 and obj2. numPartitions specifies the number of partitions to create in the resulting RDD.

Input Arguments

obj1 — First input RDD to be joined

RDD object

Input RDD to be joined, specified as a RDD object. RDD must be a key-value pair RDD.

obj2 — Second input RDD to be joined

RDD object

Input RDD to be joined, specified as a RDD object. RDD must be a key-value pair RDD.

numPartitions — Number of partitions to create

scalar value

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

Data Types: double

Output Arguments

result — RDD containing all pairs of elements with matching keys in the two input RDDs

RDD object

A pipelined RDD containing all pairs of elements with matching keys in the two input RDDs, returned as a RDD object.

Examples

Perform a Left Outer Join

%% 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);

%% leftOuterJoin
x = sc.parallelize({ {'a',1}, {'b', 4} });
y = sc.parallelize({ {'a',2} });
z = x.leftOuterJoin(y);
viewRes = z.collect()

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.