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The Suppress rule type is not the only type of rule that allows you to suppress messages You can also use the SingleWithSuppress rule type This rule type is designed to match a single log entry, execute an action, and then suppress any other log entries that match the rule for a fixed period defined using the window line This is designed to allow you to enable message compression Message compression is useful where multiple instances of a log entry are generated but you need to be notified or have an action performed for only the first matched log entry You can compress 100 messages to one response or action instead of each of the messages generating 100 individual responses or actions Listing 5-44 shows an example of the SingleWithSuppress rule type Listing 5-44.

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Historically, Access datasheets have always borne a close resemblance to Excel worksheets. Not only do worksheets and datasheets look alike, but in many ways they work alike as well. As you ve seen in this chapter, Access datasheets support sorting, searching, freezing columns, and other features mirrored in Excel worksheets. But, until recently, there was little else that was common between Access datasheets and Excel worksheets. Unlike Excel worksheets, Access datasheets haven t supported row and column summation and other types of data aggregation. Beginning with Access 2007, and continued in Access 2010, Access datasheets support a Totals row at the bottom of datasheets (see Figure 6.22). The Totals row is opened by clicking on the Totals button in the ribbon s Records group on the Home tab (the Totals button is marked with a Greek sigma character, much like the AutoSum button in Excel). Each column in the totals row can be set to a different aggregate calculation (Sum, Average, Minimum, Maximum, Count, Standard Deviation, and Variance). To use the Totals row, open a table or form in Datasheet view and click on the Totals button in the Records group on the ribbon s Home tab. Access adds a Totals row at the bottom of the datasheet, just below the New row.

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Using the SingleWithSuppress Rule Type type=SingleWithSuppress ptype=RegExp pattern=(\S+): Table overflow [0-9]+ of [0-9]+ in Table (\S+) desc=Please check for a table overflow in $2 action=shellcmd notifysh "%s" window=600 Listing 5-44 uses a regular expression to check for a table overflow message generated by a database I know this message can be generated hundreds of times in a short period, so I use the SingleWithSuppress rule to match only the first log entry and notify a user about the error message If additional log entries are matched to this rule within the next 600 seconds (as defined using the window line), then they are suppressed and no action is performed If the log entry appears again more than 600 seconds after the first log entry was matched, then another action is generated and all further matching log entries would be suppressed for another 600 seconds.

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*Not sure that makes sense See the box at the end of the chapter!

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We now develop a performance model of the UNIX operating system [GrBo96]. A job in the considered UNIX system is in the user context when it executes user code, in the kern context when it executes code of the operating system kernel, or in the driw context when it executes driver code to set up or perform an I/O operation. In Fig. 13.16 the life-cycle of a UNIX job is shown. The job always starts in the kern context from where it switches to the user context with probability p,,,, or to the driv context with probability pi,. After a mean service time s,,,, , the job returns from the user context to the kern context. From the driw context, where the job remains Sdrive time units, the job returns to the kern context with probability Pdrivdone or starts a I/O operation with probability 1 -Pdrivdone. After finishing the I/O, the job returns to the context driu and again remains there (with mean time Sdriv)

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