Method-R recently released a new version of it's powerful SQL-Trace profiler.
Of course there are many improvements on the profiler engine itself, but as the prodict was very stable already they will only help in rare edge cases, most people would not benefit dramatically.
But there is a new featuere which brings a lot of added value to the tool and improves time to repair/fix/enlightenment for many readers of the trace file:
They added an explanatory text to many sections.
Here an example (from their sample file - slightly edited to better fit the size of this blog):
Your experience duration was dominated by “cell single block physical read” and “CPU: FETCH dbcalls” calls. These are all high-productivity calls; their dominance means that the Oracle Database is working hard for your application. Now you should determine whether all of that work is actually necessary. Consult the Profile by Cursor and Profile by Statement sections for the next step of your diagnosis.
Subroutine | Duration | Calls | Duration per call (seconds) | |||||
---|---|---|---|---|---|---|---|---|
seconds | % R | mean | min | skew | max | |||
1 | cell single block physical read | 4.644 | 69.9% | 6,899 | 0.0007 | 0.0005 | ▁▁▁█▁▁▁▁▁▁▁ | 0.028 |
2 | CPU: FETCH dbcalls | 2.381 | 35.8% | 7,947 | 0.0003 | 0.0000 | ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▂▁█▁▁ | 2.071 |
Unfortunately I did not manage to copy all the nice formatting into this blog, so i created a screenshot to show the original picture.
As you can see there is a new text with more in detail explanation about the Subroutine and where to go next for deeper analysis. I see this as a big advantage for everyone who does not work with SQL-Trace files every day. (well, even for those it's helpful).
There is a very nice demo version available, so if you have a trace file to analyze and want to check, if you see added value by this suggestion, give it a try.
Beside the new Profiler, Method-R has redone their web page as well (and I expect more news to follow). It's worth to invest some minutes and have a glimpse.
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