This post expands on one I made last year here about sampling frequency (of I/O throughput, but it’s a generic concept). The background to this is my analysis of the performance and capacity of our data warehouse on Oracle 11g. Before I get too boring, here’s the fun bit: Pork Pies per Hour (PP/h) Jim wants to enter a championship pork-pie eating competition. He’s timed himself practising and over the course of an hour he eats four pork pies.

Continue Reading

I wrote last year about Graphing I/O data using gnuplot and Oracle V$SYSSTAT, using a script from Kevin Closson in his article How To Produce Raw, Spreadsheet-Ready Physical I/O Data With PL/SQL. Good For Exadata, Good For Traditional Storage. Here I’ve got a simple comparison of the data recorded through this script (in essence, Oracle’s V$SYSSTAT), and directly on the OS through HP’s MeasureWare. It’s graphed out with my new favourite tool, rrdtool:

Continue Reading

Continuing in the beard-scratching theme of Unix related posts (previously - awk), here’s a way to graph out the I/O profile of your Oracle database via the Oracle metrics in gv$sysstat, and gnuplot. This is only the system I/O as observed by Oracle, so for belts & braces (or to placate a cynical sysadmin ;-)) you may want to cross-reference it with something like sar. First, a pretty picture of what you can get:

Continue Reading

This query, based on AWR snapshots on sys.wrh$_sysstat, includes in its metrics the I/O read throughput for a given snapshot duration. However it’s important to realise the huge limitation to this figure - it’s an average. It completely shoots you in the foot if you’re looking at capacity requirements. Consider this real-life example extracted from the above query: [sourcecode] Timestamp Total Read MBPS =========================================== 14-SEP-10 05.15.12.660 113.748 14-SEP-10 06.00.40.953 202.250 14-SEP-10 06.

Continue Reading