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That is the particle You also need something that generates the particles, and that is known as the emitter The emitter s job is to build new particles at some predetermined rate It has to assign each particle an initial state that meets the requirements for that particular effect These are things such as starting position, size, life span, speed, and direction After a particle has been created, the emitter then has to keep track of each particle, and for every rendered frame, it needs to collect all the vertex and UV and any other rendering data for each particle and build some big arrays to send off to the renderer In many particle effects, each particle has a life span, and once that span is over, the emitter needs to collect those particles and remove them from the scene.

This query is one of the five ANSI standard aggregate queries contained in all language versions of SQL. These aggregate queries give you summary information about the data, which can be particularly useful to the test professional. The other four aggregate queries are the Sum, Avg, Max, Min aggregates. These are worth paying special attention to when you take a course on SQL.

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So, basically the emitter itself has a mini game loop going on Every time it gets updated, it needs to create some new particles and add them to its currently active particle list Then it goes through all the active particles and moves them or rotates them or whatever Then it needs to check to see whether any particles have reached the end of their life, and if so, it removes them from the active list Finally, it needs to make the data arrays from all the particle states Here are a few things to keep in mind: The particle system needs to be able to go through thousands of particles in a single frame, so you need to find efficient ways to handle all of the particles and keep them updated.

Figure 8-21. Invoking GetColumns for MySQL (XML output)

To return the most recently ordered items from the Orders table: SELECT * FROM Orders WHERE orderdate = (SELECT MAX(orderdate) FROM orders) To find records with duplicate primary keys in a table (there are no such duplicate records in Northwind tables; however, this is a good check for other databases where referential integrity of the data is suspect): SELECT employeeid FROM employees GROUP BY employeeid HAVING COUNT(employeeid) > 1 To find orphan records i.e., orders that have no employee assigned [again, this result should yield zero rows (no data) in the Northwind database]: SELECT e.EmployeeID, o.Orderid FROM employees e RIGHT OUTER JOIN orders o ON e.employeeid = o.employeeid WHERE e.employeeid IS NULL You can also drag tables and views from the Database Explorer window and drop them onto the Diagram pane of the Query Designer. This is a quick way to run predefined queries without knowing a lot of SQL. To give this a try, place your cursor on any table in the Data View window, click it once, drag it just over the Diagram pane of the Query Designer window, and let go. From there, you can modify the SQL statement if desired. To get the most out of these tools, you should learn more about SQL. There are many excellent books on SQL. For further information on learning this language, see Appendix C.

The emitter may need to emit a few hundred particles every frame, possibly even a few thousand, so you also need to be very efficient about creating particles Allocing objects is a costly process, so you want to avoid it at all costs Hundreds of particles can expire at the same frame, so you need to also be clever about how you clean up your particles Memory cleanup is slow and can affect performance, so you need to be careful about releasing a zillion particles all at once Dynamically mallocing vertex array memory is expensive You want to avoid changing the size of your vertex data arrays How do you solve these problems When your particle emitter is first created, you will need to build a big reserve of prealloced particle objects.

Figure 8-22. Invoking GetColumns for Oracle (XML output)

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