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Execution Plan When the Data Size (Number of Rows) in the Test Database Doubles ----------------------------------------------------------------------------------| Id | Operation | Name |Starts |A-Rows |A-Time | Buffers | ----------------------------------------------------------------------------------| 0 | SELECT STATEMENT | | 1 | 32 |00:0001 | 127 | |* 1 | FILTER | | 1 | 32 |00:0001 | 127 | | 2 | TABLE ACCESS FULL | PRJ_ATT_FACTORS | 1 | 50 |00:0001 | 8 | | 3 | SORT AGGREGATE | | 17 | 17 |00:0001 | 119 | |* 4 | TABLE ACCESS FULL| PRJ_ATT_FACTORS | 17 | 50 |00:0001 | 119 | ----------------------------------------------------------------------------------Predicate Information (identified by operation id): --------------------------------------------------1 - filter("SIM_YR"||"SIM_MO"=) 4 - filter("B""PROJECT_CODE"=:B1) The number of executions of the subquery increases from 9 to 17 (check the Starts column), and the buffers accessed increases from 71 to 127.

Taking these one at a time, we ll start with feature.xml. Open the feature.xml file that the project template has created for your solution (under DeploymentFiles\FeatureFiles in the Solution Explorer). Initially, there s really nothing of much value in this file, other than some instructions on inserting a Code Snippet. Make sure that your cursor is positioned at the end of the file and then follow the instructions provided to insert the feature.xml Code Snippet. You will end up with a file that looks like Figure 6-9.

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You can also touch the Information icon to adjust your favorite team, input your MLB TV subscription information (if you have one), or jump right to the MLB web site. TIP: You can even allow notifications to be sent when something newsworthy occurs related to your favorite team. To do this, touch the Information icon and turn Notifications to ON. To see video highlights of key plays of the game, just touch the Videos box in the lower-right corner. Touch any of the listed videos, and it will begin to play in the iPhone s Video player.

Just to give you an idea of how bad this gets as volume increases, Listing 7-15 shows this same query s plan execution data from production; the table has more than 270,000 rows Listing 7-15 Execution Plan from Production -----------------------------------------------------------------------------------| Id | Operation |Name |Starts |A-Rows | A-Time |Buffers | -----------------------------------------------------------------------------------| 0 | SELECT STATEMENT | | 1 | 18480 |04:13:5824 | 52756K| |* 1 | FILTER | | 1 | 18480 |04:13:5824 | 86529 | | 2 | TABLE ACCESS FULL |PRJ_ATT_FACTORS| 1 |271830 |00:00:0153 | 3053 | | 3 | SORT AGGREGATE | |142578 | 28843 |04:13:1110 | 52667K| |* 4 | TABLE ACCESS FULL |PRJ_ATT_FACTORS|142578 | 14816K|04:11:3355 | 52667K| -----------------------------------------------------------------------------------Predicate Information (identified by operation id): --------------------------------------------------1 - filter("SIM_YR"||"SIM_MO"=) 4 - filter("B".

Now we attach the storage to our instance as devices: $ ec2-attach-volume vol-31de2058 -i i-24d1614c ATTACHMENT vol-31de2058 i-24d1614c /dev/sdh $ ec2-attach-volume vol-2835c941 -i i-24d1614c ATTACHMENT vol-2835c941 i-24d1614c /dev/sdi $ ec2-attach-volume vol-f7c23d9e -i i-24d1614c ATTACHMENT vol-f7c23d9e i-24d1614c /dev/sdj $ ec2-attach-volume vol-2a35c943 -i i-24d1614c ATTACHMENT vol-2a35c943 i-24d1614c /dev/sdk $ ec2-attach-volume vol-2c35c945 -i i-24d1614c ATTACHMENT vol-2c35c945 i-24d1614c /dev/sdl On the instance, we can see the devices: # ls -l /dev/sd brw-r----- 1 root brw-r----- 1 root brw-r----- 1 root brw-r----- 1 root brw-r----- 1 root disk disk disk disk disk 8, 8, 8, 8, 8, 112 128 144 160 176 Oct Oct Oct Oct Oct 24 24 24 24 24 23:35 23:35 23:35 23:35 23:36 /dev/sdh /dev/sdi /dev/sdj /dev/sdk /dev/sdl -d /dev/sdmsdh attaching 2009-10-24T23:35:12+0000 -d /dev/sdi attaching 2009-10-24T23:35:31+0000 -d /dev/sdj attaching 2009-10-24T23:35:47+0000 -d /dev/sdk attaching 2009-10-24T23:35:58+0000 -d /dev/sdl attaching 2009-10-24T23:36:10+0000

"PROJECT_CODE"=:B1) In production, the response time for this query was more than 4 hours! So, how could I rewrite this query to eliminate the need to query the same table over and over, and do it only once How about using.

The implementation of n-level undo functionality is quite complex, and involves heavy use of reflection. Fortunately, we can use inheritance to place the implementation in a base class, so that no business object needs to worry about the undo code. In fact, to keep things cleaner, this code is in its own base class, separate from any other business object behaviors, as shown in Figure 2-11.

Here s one of my pet peeves: allowing Null values in a column in which you care about the difference between a value that was never entered and the empty value ("", or 0, or whatever) is fine. Allowing Null values in a column where you don t care about the difference merely complicates your code for no good purpose, thereby decreasing developer productivity and increasing maintenance costs.

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