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2. Types, Operators, and Expressions 8. Type and Constant Definitions 34. Statically Defined Tracing for User Applications |
Data NormalizationWhen aggregating data over some period of time, you might want to normalize the data with respect to some constant factor. This technique enables you to compare disjoint data more easily. For example, when aggregating system calls, you might want to output system calls as a per-second rate instead of as an absolute value over the course of the run. The DTrace normalize() action enables you to normalize data in this way. The parameters to normalize() are an aggregation and a normalization factor. The output of the aggregation shows each value divided by the normalization factor. The following example shows how to aggregate data by system call: #pragma D option quiet BEGIN { /* * Get the start time, in nanoseconds. */ start = timestamp; } syscall:::entry { @func[execname] = count(); } END { /* * Normalize the aggregation based on the number of seconds we have * been running. (There are 1,000,000,000 nanoseconds in one second.) */ normalize(@func, (timestamp - start) / 1000000000); } Running the above script for a brief period of time results in the following output on a desktop machine: # dtrace -s ./normalize.d ^C syslogd 0 rpc.rusersd 0 utmpd 0 xbiff 0 in.routed 1 sendmail 2 echo 2 FvwmAuto 2 stty 2 cut 2 init 2 pt_chmod 3 picld 3 utmp_update 3 httpd 4 xclock 5 basename 6 tput 6 sh 7 tr 7 arch 9 expr 10 uname 11 mibiisa 15 dirname 18 dtrace 40 ksh 48 java 58 xterm 100 nscd 120 fvwm2 154 prstat 180 perfbar 188 Xsun 1309 .netscape.bin 3005 normalize() sets the normalization factor for the specified aggregation, but this action does not modify the underlying data. denormalize() takes only an aggregation. Adding the denormalize action to the preceding example returns both raw system call counts and per-second rates: #pragma D option quiet BEGIN { start = timestamp; } syscall:::entry { @func[execname] = count(); } END { this->seconds = (timestamp - start) / 1000000000; printf("Ran for %d seconds.\n", this->seconds); printf("Per-second rate:\n"); normalize(@func, this->seconds); printa(@func); printf("\nRaw counts:\n"); denormalize(@func); printa(@func); } Running the above script for a brief period of time produces output similar to the following example: # dtrace -s ./denorm.d ^C Ran for 14 seconds. Per-second rate: syslogd 0 in.routed 0 xbiff 1 sendmail 2 elm 2 picld 3 httpd 4 xclock 6 FvwmAuto 7 mibiisa 22 dtrace 42 java 55 xterm 75 adeptedit 118 nscd 127 prstat 179 perfbar 184 fvwm2 296 Xsun 829 Raw counts: syslogd 1 in.routed 4 xbiff 21 sendmail 30 elm 36 picld 43 httpd 56 xclock 91 FvwmAuto 104 mibiisa 314 dtrace 592 java 774 xterm 1062 adeptedit 1665 nscd 1781 prstat 2506 perfbar 2581 fvwm2 4156 Xsun 11616 Aggregations can also be renormalized. If normalize() is called more than once for the same aggregation, the normalization factor will be the factor specified in the most recent call. The following example prints per-second rates over time: Example 9-1 renormalize.d: Renormalizing an Aggregation#pragma D option quiet BEGIN { start = timestamp; } syscall:::entry { @func[execname] = count(); } tick-10sec { normalize(@func, (timestamp - start) / 1000000000); printa(@func); } |
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