(Copy/paste of an answer I provided elsewhere)
Falling through switch-cases can be achieved by having no code in a case (see case 0), or using the special goto case (see case 1) or goto default (see case 2) forms:
switch (/*...*/) {
case 0: // shares the exact same code as case 1
case 1:
// do something
goto case 2;
case 2:
// do something else
goto default;
default:
// do something entirely different
break;
}
My favorite answer is as what the first sentence in this thread suggested. Use an Adjacency List to maintain the hierarchy and use Nested Sets to query the hierarchy.
The problem up until now has been that the coversion method from an Adjacecy List to Nested Sets has been frightfully slow because most people use the extreme RBAR method known as a "Push Stack" to do the conversion and has been considered to be way to expensive to reach the Nirvana of the simplicity of maintenance by the Adjacency List and the awesome performance of Nested Sets. As a result, most people end up having to settle for one or the other especially if there are more than, say, a lousy 100,000 nodes or so. Using the push stack method can take a whole day to do the conversion on what MLM'ers would consider to be a small million node hierarchy.
I thought I'd give Celko a bit of competition by coming up with a method to convert an Adjacency List to Nested sets at speeds that just seem impossible. Here's the performance of the push stack method on my i5 laptop.
Duration for 1,000 Nodes = 00:00:00:870
Duration for 10,000 Nodes = 00:01:01:783 (70 times slower instead of just 10)
Duration for 100,000 Nodes = 00:49:59:730 (3,446 times slower instead of just 100)
Duration for 1,000,000 Nodes = 'Didn't even try this'
And here's the duration for the new method (with the push stack method in parenthesis).
Duration for 1,000 Nodes = 00:00:00:053 (compared to 00:00:00:870)
Duration for 10,000 Nodes = 00:00:00:323 (compared to 00:01:01:783)
Duration for 100,000 Nodes = 00:00:03:867 (compared to 00:49:59:730)
Duration for 1,000,000 Nodes = 00:00:54:283 (compared to something like 2 days!!!)
Yes, that's correct. 1 million nodes converted in less than a minute and 100,000 nodes in under 4 seconds.
You can read about the new method and get a copy of the code at the following URL.
http://www.sqlservercentral.com/articles/Hierarchy/94040/
I also developed a "pre-aggregated" hierarchy using similar methods. MLM'ers and people making bills of materials will be particularly interested in this article.
http://www.sqlservercentral.com/articles/T-SQL/94570/
If you do stop by to take a look at either article, jump into the "Join the discussion" link and let me know what you think.
Best Answer
MyISAM is faster for reads and writes, but not at the same time. In other words, if you need to do a lot of writes, it will be faster, but if you want to also have people reading at the same time the readers and the writers will block each other and you may have concurrency issues. You should use InnoDB in such scenarios, and most mysql gurus recommend using InnoDB by default anyway because it's considered more generally reliable than MyISAM, despite being slower under some use cases.