Deployable Archive Creation

Create archives from MATLAB^® code for deployment to the server

A deployable archive contains compiled MATLAB code to deploy on a MATLAB Production Server™ instance. Generate a deployable archive using the compiler.build.productionServer function, the Production Server Compiler app, or the mcc command line compiler.

In most cases, you can generate the deployable archive on one platform and deploy to a server running on any other supported platform. Unless you add operating system-specific dependencies or content, such as MEX files or Simulink^® simulations to your applications, the generated archives are platform-independent.

Apps

Production Server Compiler

Package MATLAB programs for deployment to MATLAB Production Server

Functions

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Deployable Archive

`compiler.build.productionServerArchive`	Create an archive for deployment to MATLAB Production Server
`compiler.build.ProductionServerArchiveOptions`	Options for building deployable archives
`compiler.build.Results`	Compiler build results object
`productionServerCompiler`	Test, build and package functions for use with MATLAB Production Server
`mcc`	Compile MATLAB functions for deployment
`deploytool`	Open a list of application deployment apps

Persistence

Controller

`mps.cache.control`	Create a persistence service controller object
`start`	Start a persistence service and attach it a to MATLAB session
`stop`	Stop a persistence service and detach it from a MATLAB session
`restart`	Restart a persistence service and attach it to a MATLAB session
`attach`	Connect a MATLAB session to a persistence service that is already running
`detach`	Disconnect MATLAB session from a persistence service that is already running
`ping`	Test whether the persistence service is reachable
`version`	Version number for persistence provider

Cache

`mps.cache.connect`	Connect to cache, or create a cache if it doesn't exist
`bytes`	Return the number of bytes of storage used by value stored at each key
`clear`	Remove all keys and values from cache
`flush`	Write all locally modified keys to the persistence service
`get`	Fetch values of keys from cache
`getp`	Get the value of a public cache property
`isKey`	Determine if the cache contains specified keys
`keys`	Get all keys from cache
`length`	Number of key-value pairs in the data cache
`purge`	Flush all local data to the persistence service
`put`	Write key-value pairs to cache
`remove`	Remove keys from cache
`retain`	Store remote keys from cache locally or return locally stored keys

Mutex

`mps.sync.mutex`	Create a persistence service mutex
`acquire`	Acquire advisory lock on persistence service mutex
`own`	Check ownership of advisory lock on a persistence service mutex object
`release`	Release advisory lock on persistence service mutex

Objects

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Persistence Objects

`mps.cache.Controller`	Manage the life cycle of a persistence service in a MATLAB testing environment
`mps.cache.DataCache`	Represent cache concept in MATLAB code
`mps.sync.TimedRedisMutex`	Represent a Redis persistence service mutex
`mps.sync.TimedMATFileMutex`	Represent a MAT-file persistence service mutex