textFile

R2026b

Class: matlab.compiler.mlspark.SparkContext
Namespace: matlab.compiler.mlspark

(To be removed) Create an RDD from a text file

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

Syntax

rdd = textFile(sc,pathToFile)
rdd = textFile(sc,pathToFile,minPartitions)


Description

rdd = textFile(sc,pathToFile) creates an RDD from a text file located in pathToFile.

rdd = textFile(sc,pathToFile,minPartitions) creates an RDD with minimum partitions specified by minPartitions.

Input Arguments

sc — SparkContext to use

SparkContext object

The SparkContext to use, specified as a SparkContext object.

pathToFile — File path to text file

character vector | string

File path to text file, specified as a character vector enclosed in ''.

Data Types: char | string

minPartitions — Minimum number of partitions to be created

scalar

Minimum number of partitions to be created, specified as a scalar.

Data Types: double

Output Arguments

result — Output RDD created from text file

RDD object

An output RDD created from reading in a text file, returned as an RDD object.

Examples

Create RDD from Text File

%% 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);

%% textFile
rdd = sc.textFile('airlinesmall.csv')

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.