Deploy Tall Arrays to a Spark Enabled Hadoop Cluster
R2026b
Warning
Support for deploying tall array applications to Spark enabled Hadoop clusters will be removed in a future release.
Supported Platform: Linux® only.
Deploying a MATLAB application that contains tall arrays against a Spark enabled Hadoop cluster consists of two parts:
Creating and packaging a standalone application in the MATLAB desktop environment.
Executing the standalone application on a Spark enabled Hadoop cluster from a Linux shell.
For a complete example on deploying tall arrays to a Spark enabled Hadoop cluster, see Deploy Tall Arrays to a Spark Enabled Hadoop Cluster. You can follow the same instructions to deploy tall array Spark applications to CLOUDERA® CDH.
Classes
matlab.mapreduce.DeploySparkMapReducer | (To be removed) Configure a MATLAB tall array application with Spark parameters as key-value pairs |
Functions
mapreducer | Define execution environment for mapreduce or tall arrays |
Topics
- Apache Spark Basics
Learn basic Apache® Spark concepts and see how these concepts relate to deploying MATLAB applications to Spark.
- Deploy Tall Arrays to a Spark Enabled Hadoop Cluster
Try an example on how to deploy a tall array MATLAB application to a Spark enabled Hadoop cluster.
