Flamegraph with function annotation

Recently, Franck Pachot tweeted the following:

This is a very clever way of using Brendan Gregg’s flame graphs for Oracle database process flame graphs and using my ora_functions project database.

However, the awk script uses a full match using f[$2]:
– f is an array with the function name annotations filled using {f[$1]=$2;next}.
– // means to only work on lines that have in it.
– The lines have the oracle function stuck to , for example: kcbgtcr.
– The first sub() function (substitute); which is sub(“”,”& “) places a space after “” so it looks like: kcbgtcr; “&” means “the first argument of the sub function”.
– FS=” ” means the field separator is a space.
– The next sub() function; which is sub(“”,””f[$2]”&”) substitutes on the pattern, and uses the f array using the second field ($2) of the input, which now is the oracle function thanks to the field separator and the previous sub() function.

But…the function names in the database/csv file are build up on layers. I done this deliberately to avoid having to type all the layer names for a function when entering new ones, but more importantly so I can actually identify the code layers in the oracle executable. Because of the layers, I don’t need the full function descriptions, I can still get an understanding what is going on by looking in what layer a function is called.

To get the layers in the function names, I added a script in my ora_functions repository called ‘annotate_flamegraph.awk’, which takes the function name csv file actually exactly like Franck did, but now builds up the annotation of every function in an existing flamegraph. It simply takes an existing flamegraph SVG file with oracle database functions as an input, and outputs the annotated version on STDOUT, so this is how it’s run to get an annotated SVG:

$ ./annotate_flamegraph.awk dt_11856.txt_1.fold.svg > dt_11856.txt_1.fold.annotated.svg

This is how it looks like (please mind these are snapshots from flamegraph output in a browser):

(click on the graph to see it in the original size)
If you hoover over a row in the flamegraph, it will show the full information at the bottom row, in this case I hoovered over ttcpip.
If you click a row, it will zoom in to the row. The next picture is a good way to show that the function layers and the stack make it obvious what is going on, while most of the functions do not have the full annotation:

(click on the graph to see it in the original size)

Again, thanks to Franck for the inspiration. I hope this will be useful for investigating what oracle is doing!

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