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The update statistics task uses the UPDATE STATISTICS command, which can improve performance for your queries by providing the optimizer with more accurate statistics for the data in your tables. A database option is available that will cause this to be performed automatically, but that does not kick in until you have modified about 20 percent of the data for a column. The more data you sample, the more accurate the statistics will be, but the longer the statistics collection will take. A full scan, which samples 100 percent of the rows, delivers the most accurate statistics, but it obviously takes the most time.

Problem 24-4 Suppose an attenuator (a circuit designed deliberately to produce power loss) provides 10 dB power reduction The input power is 94 W What is the output power An attenuation of 10 dB represents a gain of 10 dB We know that Pin = 94 W, so the unknown in the power gain formula is Pout We must solve for Pout in this formula:

tell application "Finder" get POSIX path of (folder "Mail" of folder "Library" of startup disk as alias) end tell

Note that if you rebuild your indexes, you will get updated statistics (based on a full scan) for free, but only for the index statistics of the indexes that are rebuilt, not for column statistics. What you don t want to do is first rebuild indexes (which updates statistics for all indexes, based on all data) and then use this task to update index statistics. At best, this will waste time and resources to update the statistics twice. At worst, it will run this task after index rebuild, with less than a 100 percent sample rate, resulting in less precise statistics than after the index rebuild. I recommend that you include this task in your plans. If you also rebuild indexes (in contrast to reorganizing, which does nothing for statistics), configure it to update Column Statistics Only. If you don t rebuild indexes, configure it to update All Existing Statistics, as shown in figure 5. Use as high a Scan Type as you have time for ideally a full scan.

If you don t delete old history information from your various history tables, you will find your msdb database growing over time. I ve seen some pretty extreme cases with large msdb databases because of frequent transaction log backups or many databases in the SQL Server instance. This task, shown in figure 6, makes it a no-brainer to remove old history information. The following procedures are used by this task: sp_delete_backuphistory sp_purge_jobhistory sp_maintplan_delete_log

10 = 10 log (Pout /94) First, divide each side by 10, getting: 1 = log (Pout /94) To solve this, we must take the base-10 antilogarithm, also known as the antilog, or the inverse log, of each side The antilog function undoes the log function The antilog of a value x is written antilog x It can also be denoted as log 1x or 10x Antilogarithms can be determined with any good scientific calculator The solution process goes like this: antilog ( 1) = antilog [log (Pout /94)] 01 = Pout /94 94 01 = Pout Pout = 94 W

This command returns the following POSIX path:

I typically keep three to six months of history. It can be useful to look at the history a few weeks back in time or even a couple of months, but I haven t ever needed to check history for several months back in time.

There isn't much to say about the execute SQL Server Agent job task, shown in figure 7. You can expand on the functionality of an MP by executing Agent jobs from within an MP. You might want to execute a batch file, executable file, or script from within the plan to create folders, move files, copy files, and so on. You can create an Agent job to do this and call the job from this task. The procedure used by this task is msdb.dbo.sp_start_job.

"/Library/Mail/"