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PAT (Performance Acceptance Tests)

The goal of this project is to create a super-simple load generation/performance testing framework for quickly and easily running load against Cloud Foundry. The tool has both a command line UI, for running quickly during a build and a web UI for tracking longer-running tests.

Running PAT as a Cloud Foundry App

Ensure your Cloud Foundry version is current and running

  1. Clone the project

     git clone https://github.com/cloudfoundry-community/pat
    
  2. Push the project to Cloud Foundry with our 'go' buildpack that adds gocart support.

     cf push -b https://github.com/jberkhahn/cloudfoundry-buildpack-go pat
    
  3. Open the browser and go to the provided URL

Setting up PAT to run locally

To setup this project, a number of requires need to be met for GO.

  1. Ensure that GO1.2 (64bit version) has been installed on the system.

  2. Setup the GOPATH

     export GOPATH=~/go (or any other workspace repository for all your go code)
    
     export PATH=$GOPATH/bin:$PATH
    
  3. Install [gocart] (https://github.com/vito/gocart)

     go get github.com/vito/gocart
    
  4. Clone the project to the correct location

     mkdir -p $GOPATH/src/github.com/cloudfoundry-community
    
     cd $GOPATH/src/github.com/cloudfoundry-community
    
     git clone https://github.com/cloudfoundry-community/pat
    
     cd pat
    
     gocart
    
  5. Install [gcf] (https://github.com/cloudfoundry/cli)

Develop

To develop for this project, you will first need to go through the "Setting up PAT" section. This project will be maintained through the use of standard pull requests. When issuing a pull request, make sure to include sufficient testing through the ginkgo package (see below) to go along with any code changes. The tests should document functionality and provide an example of how to use it.

  1. Go through the "Setting up PAT to run locally" section

  2. Install [ginkgo] (http://onsi.github.io/ginkgo/#getting_ginkgo)

     go install github.com/onsi/ginkgo/ginkgo
    
  3. Write and test your code following the ginkgo standards

  4. Run all tests within the repository

     ginkgo -r
    

Run

If you wish to run PAT as a Cloud Foundry app, please refer to the section in the beginning of this guide.

There are three ways to run PAT locally. For all three ways, you must first:

  1. Go through the "Setting up PAT to run locally" section

  2. Make sure that you have targeted a Cloud Foundry environment using the gcf tool (# gcf login)

Option 1. Run the source code directly

  1. Change into the top level of this project

     cd $GOPATH/src/github.com/cloudfoundry-community/pat
    
  2. Execute the command line

     go run main.go -workload=gcf:push
    

Option 2. Compile and run an executable

  1. Change into the top level of this project

     cd $GOPATH/src/github.com/cloudfoundry-community/pat
     go install
    
  2. Run the PAT executable from the command line

     pat -workload=gcf:push
    

Option 3. Run PAT with a web user interface

  1. Change into the top level of this project

     cd $GOPATH/src/github.com/cloudfoundry-community/pat
    
  2. Run PAT selecting the HTTP server option

     go run main.go -server
    
  3. Open a browser and go to http://localhost:8080/ui

Example command-line usage (using option 2 to illustrate):

pat -h   # will output all of the command line options if installed the recommended way

pat -concurrency=5 -iterations=5  # This will start 5 concurrent threads all pushing 1 application

pat -concurrency=5 -iterations=1  # This will only spawn a single concurrent thread instead of the 5 you requested because you are only pushing a single application

pat -silent  # If you don't want all the fancy output to be shown (results can be found in a CSV)

pat -list-workloads  # Lists the available workloads

pat -workload=gcf:push,gcf:push,..  # Select the workload operations you want to run (See "Workload options" below)

pat -workload=dummy  # Run the tool with a dummy operation (not against a CF environment)

pat -config=config/template.yml  # Include a configuration template specifying any number of command line arguments. (See "Using a Configuration file" section below).

pat -rest:target http://api.xyz.abc.net \
    -rest:username=testuser1@xyz.com \
    -rest:password=PASSWORD \
    -rest:space=xyz_space  \
    -workload=rest:target,rest:login,rest:push,rest:push \
    -concurrency=5 -iterations=20 -interval=10 # Use the REST API to make operation requests instead of gcf 

Workload options

The workload option specified a comma-separated list of workloads to be used in the test. The following options are available:

  • rest:target - sets the CF target. Mandatory to include before any other rest operations are listed.
  • rest:login - performs a login to the REST api. This option requires rest:target to be included in the list of workloads.
  • rest:push - pushes a simple Ruby application using the REST api. This option requires both rest:target and rest:login to be included in the list of workloads.
  • gcf:push - pushes a simple Ruby application using the CF command-line
  • dummy - an empty workload that can be used when a CF environment is not available.
  • dummyWithErrors - an empty workload that generates errors. This can be used when a CF environment is not available.

Using a Configuration file

PAT offers the ability to configure your command line arguments using a configuration file. There is an example in the root of the project directory called config-template.yml. To use your own custom yaml configuration file, provide the full path to the configuration file. Any setting specified as a command line argument overrides the equivalent setting contained in the config file.

Example:

  pat -config=config-template.yml -iterations=2 # set iterations to 2 overriding whatever the config file says

Known Limitations / TODOs etc.

  • Numerous :)
  • Unlikely to support Windows/Internet Explorer (certainly hasn't been tested on them)
  • Current feature set is a first-pass to get to something useful, contributions very welcome
  • Lots of stuff kept in memory and not flushed out
  • Creates lots of apps, does not delete them. We normally make sure we're targetted at a 'pats' space and just cf delete-space the space after to get rid of everything.
  • Only supports basic operations so far (push via gcf, target + login + push via rest api)
  • GCF workloads assume single already-logged-in-and-targetted user

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