The ScienceOps Workload Simulator lets you simulate running thousands of api queries per second and collects load testing data. It also supports live mode, which lets you monitor the performance of a running ScienceOps instance.

Expect updates to come frequently as the feature set is built out. If you have suggestions for features, feel free to post them to the issues section of this repository or implement them and submit them as a pull request. If you build an interesting workload, we would love to include it in the workloads directory.

This guide is known to work on Ubuntu 12.04. Since it uses standard python packages and tools, it should work on other Linux distributions as well. It assumes that you already have a MemSQL server set up and running on 127.0.0.1:3306 -- refer to developers.memsql.com for more info about running MemSQL.

All command-line instructions assume that your working directory is the original location of this README file.

• Make sure you have python dev tools and pip installed

sudo apt-get install python-dev python-setuptools libmysqlclient-dev
sudo easy_install pip

• Install dependencies

sudo pip install flask sqlalchemy MySQL-python simplejson

• Start the server

python runner

• You can stop it by sending SIGTERM to the parent python process. The easiest way to do this is to type Ctrl-\ (control backslash) on your terminal.

• Open http://localhost:9000 in a browser

This is the "active mode" which allows you to run queries against the MemSQL server. Let's start with a simple example.

• Install the key-value example database and table

mysql -h 127.0.0.1 -u root -P 3306 -vv < workloads/key_value/key_value.sql

• Load the key-value workload

On http://localhost:9000, click Load Workload and choose the file workloads/key_value/key_value.json

You will see three types of queries appear in a grid. Next to each there is a dial indicating how many times per second we will try to execute a query of that type.

• Hit PLAY

The simulator starts executing queries against the database. The dials start showing the actual number of queries per second for each type of query. On the right you can see a real-time graph of the total number of queries per second being processed by MemSQL.

• Console

At any time, you can use the console on the right to run individual queries. Running your own queries may be useful for setting up schemas, inspecting the tables, and checking syntax.

• Running with MySQL

This mode does not use any MemSQL specific query constructs, so you can use it to run heavy workloads against MySQL as well.

• Navigate to http://localhost:9000/live

This is a real-time monitor of all queries processed by MemSQL. It is refreshed every second. On the bottom right there is a pie chart detailing the memory used by MemSQL. This mode can only be used with MemSQL.

• Try creating your own workload in active mode.

Generate random numbers and strings with @ and ^, respectively. For example, to insert a random integer value in the key-value example, use the query INSERT INTO t (k, v) VALUES (@, @);

• Check out the sample workload from the video (https://vimeo.com/44087431)

The sql schema is in workloads/video/video.sql. The workload is in workloads/video/video.json

If a message pops up saying, "something went wrong...", you've run into an unhandled error. If the problem persists, restart the server from the command line by interrupting with Ctrl-\ and running "python runner".