SQL Max, SQL Server Max Memory Calculator, available at (sqlmax.chuvash.eu), is a simple, nevertheless, a very powerful web application for calculating max memory for SQL Server. If you don't set the max memory, the SQL Server will occupy almost all of your server's RAM.
SQL Max is optimized for mobiles and can be used even when you are offline, even though it works perfectly in a desktop browser.
The original idea of a tool for calculating the SQL Server Max Memory comes from Vlad Catrinescu, SharePoint MVP, who wrote a very popular whitepaper SQL Server Performance in a SharePoint Environment:
Despite of the formula (see below) in the whitepaper, Vlad Catrinescu also provided a tool for calculating max memory, a windows forms application that is freely downlodable at sqlmem.codeplex.com
Our project is to take this idea a step further and make it available directly in your browser, on desktop at work, or on the go in your mobile. This mobile web app will also be available for offline access. Simply put, why should you dowload a zip file, extract and run the .exe file? Perhaps you cannot run executable files due restrictions, or perhaps you are not running Windows at all.
There are a few design principles that are important in the development of the SQL Max:
- Accurate calculations achieved through automatic tests while developing
- Mobile first.
- Performance is very important. Avoid downloading external fonts and icons. Use web safe fonts
- ...
Formula for this calculator is described on the codeplex project site for the original utility in text, and even expressed in C#
SQL Max Memory = TotalPhyMem - (NumOfSQLThreads * ThreadStackSize) - (1GB * CEILING(NumOfCores/4)) - OS Reserved
NumOfSQLThreads = 256 + (NumOfProcessors*- 4) * 8 (* If NumOfProcessors > 4, else 0)
ThreadStackSize = 2MB on x64 or 4 MB on 64-bit (IA64)
OS Reserved = 20% of total ram for under if system has 15GB. 12.5% for over 20GB
This is the javascript representation of the algorythm:
//everything in MB
var oneGb = 1024; //MB
// "hard coded" options
var architecture = "x64";
var totalram = parseInt("8GB") * oneGb;
var corenumber = 4;
var otherApps = 0;
//thread stack sizes in MB
var threadStackSizes = { "x86": 1, "x64": 2, "IA64": 4 };
var threadStackSize = threadStackSizes[architecture];
var osReservedPart = totalram < (20 * oneGb) ? 0.2 : 0.125;
var forOS = totalram * osReservedPart;
var coretemp = corenumber > 4 ? 0 : corenumber;
var sqlThreads = 256 + (coretemp - 4) * 8;
var temp = corenumber / 4;
var maxMemory = (totalram - forOS - otherApps
- (sqlThreads * threadStackSize)
- (1024 * Math.ceil(temp)));To build the project you must have nodejs, grunt, and npm.
npm install
grunt build
Alternatively, if you want to run it locally with a dev server.
grunt server
This will give you a livereload functionality where you can update the source code and see the changes directly in your browser without needing to reload the page.
The web apps is hosted on Github Pages
The web app is deployed with the git command subtree.
git subtree push --prefix dist origin gh-pagesBefore you do it for the first time, make sure you don't have a branch gh-pages.
The SQL Max web app will be accessible at http://sqlmax.chuvash.eu. The DNS is configured with Github Pages and and an additional file CNAME
The web app is optimized for mobiles. Here are two references that have been used:
...
- Anatoly Mironov (@mirontoli)
- Erik Kronberg (@eakron)
- Johannes Milling (@johesmil)
- Björn Roberg (@roobie)
- Stina Qvarnström (@stinaq)
- Vlad Catrinescu (@vladcatrinescu)
The SQL MAX web app is licensed with the MIT License.