mapreducer

R2026b

(To be removed) Define deployed execution for mapreduce

collapse all in page

mapreducer with Hadoop® configuration will be removed in a future release. There is no replacement functionality. For more information on updating your code, see Version History.

Syntax

mapreducer(config)
mr = mapreducer(config)

Description

mapreducer(config) specifies execution environment. When deploying a standalone application against Hadoop, config is an object of matlab.mapreduce.DeployHadoopMapReducer class.

mr = mapreducer(config) returns a MapReducer object to specify the execution environment. You can define MapReducer objects, allowing you to swap execution environments by passing one as an input argument to mapreduce.

Examples

Create a mapreducer Object in Deployed Mode

mr = mapreducer(...
    matlab.mapreduce.DeployHadoopMapReducer('MCRRoot',...
    '/hd-shared/hadoop-2.2.0/MCR/v84'))

Input Arguments

collapse all

mapreducer object for running in deployed environment, specified as a matlab.mapreduce.DeployHadoopMapReducer object.

Example: config = mapreducer(matlab.mapreduce.DeployHadoopMapReducer('MCRRoot','/hd-shared/hadoop-2.2.0/MCR/v84'))

Output Arguments

collapse all

Execution environment for mapreduce, returned as a mapreducer object.

Tips

  • mapreducer and mapreducer(0) enables different configurations based on the products you have. In MATLAB®, the mapreduce function automatically runs using a SerialMapReducer. For more information, see mapreducer.

    If you have Parallel Computing Toolbox™, see the function reference page for mapreducer (Parallel Computing Toolbox) for additional information.

Version History

Introduced in R2014b

collapse all

See Also

Functions

Classes

Topics