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The last three COLUMN options are mutually exclusive. In Table 11-3, the brackets indicate the abbreviations you can use. For example, you can abbreviate the first SQL*Plus command in Listing 11-27 as COL ENAME FOR A20 HEA LAST_NAME JUS C, if you like. If you do not specify a JUSTIFY value for a column, SQL*Plus uses the following alignment defaults: NUMBER column headings default to RIGHT. Other column headings default to LEFT.

Note Incidentally, if anyone with monstrous gobs of cash is actually reading this book, please consider

In response, the SRS displays the following confirmation pop-up indicating that the course has been dropped from his course load:

When the pop-up is dismissed, Joe sees that his information has once again been properly updated. (Note that the Drop button has been disabled.)

Listing 11-27. Using COLUMN FORMAT, HEADING, JUSTIFY, and LIKE SQL> 2 3 4 select , , from empno, ename, bdate msal as salary comm as commission employees;

Unfortunately, performance tuning is much more of an art than a science, and it is even more difficult to write about than scaling. If you re serious about deploying a large-scale Django application, you should spend a great deal of time learning how to tune each piece of your stack. The following sections, though, present a few Django-specific tuning tips we ve discovered over the years.

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Satisfied with his new schedule, Joe decides to persist this information by clicking the Save My Schedule button, and the system confirms this operation. (Behind the scenes and unbeknownst to Joe, his updated course load information has been persisted to file 111-11-1111.dat, replacing the information that was previously in that file.)

EMPNO ENAME BDATE SALARY COMMISSION ------ -------- ----------- -------- ---------7369 SMITH 17-DEC-1965 800 7499 ALLEN 20-FEB-1961 1600 300 7521 WARD 22-FEB-1962 1250 500 ... 14 rows selected. SQL> SQL> SQL> SQL> SQL> col col col col / ename salary commission salary format format like heading a20 heading last_name justify center $9999.99 salary month|salary month BDATE salary COMMISSION ----------- --------- ---------17-DEC-1965 $800.00 20-FEB-1961 $1600.00 $300.00 22-FEB-1962 $1250.00 $500.00

Joe dismisses this pop-up, then clicks the Log Off button on the main GUI, and the screen is cleared of all of Joe s student-specific information, ready for a different student to log on.

As of this writing, the really expensive RAM costs only about $200 per gigabyte pennies compared to the time spent tuning elsewhere. Buy as much RAM as you can possibly afford, and then buy a little bit more. Faster processors won t improve performance all that much; most Web servers spend up to 90% of their time waiting on disk I/O. As soon as you start swapping, performance will just die. Faster disks might help slightly, but they re much more expensive than RAM, such that it doesn t really matter. If you have multiple servers, the first place to put your RAM is in the database server. If you can afford it, get enough RAM to get fit your entire database into memory. This shouldn t be too hard. LJWorld.com s database including over half a million newspaper articles dating back to 1989 is under 2GB. Next, max out the RAM on your Web server. The ideal situation is one where neither server swaps ever. If you get to that point, you should be able to withstand most normal traffic.

If you haven t yet done so, we recommend that you download, compile, and experiment with the 17 version of the executable SRS application before looking at the source code. A few helpful hints:

EMPNO last_name ------ -------------------7369 SMITH 7499 ALLEN 7521 WARD ... 14 rows selected. SQL>

Keep-Alive is a feature of HTTP that allows multiple HTTP requests to be served over a single TCP connection, avoiding the TCP setup/teardown overhead. This looks good at first glance, but it can kill the performance of a Django site. If you re properly serving media from a separate server, each user browsing your site will only request a page from your Django server every ten seconds or so. This leaves HTTP servers waiting around for the next keep-alive request, and an idle HTTP server just consumes RAM that an active one should be using.

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