Just because something produces the correct numbers on the report, it doesn’t mean you can stop there. How you are producing those numbers matters, and matters a lot if you have an interest in the long-term health of your system and its ability to scale. OBIEE is the case in point here, but the principle applies to any architecture with >1 tiers or components. Let me start with a rhetorical question.

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Over the last few months I’ve been doing a lot of exploring of OBIEE Systems Management data, covered in a mini-series of blog posts, Collecting OBIEE systems management data. There are a vast number of counters exposed, ranging from the very interesting (Active Sessions, Cache Hits, etc) to the less so (Total Query Piggybacks, although for some seriously hardcore performance tuning even this may be of interest). This short blog post is about a couple of counters which I’ve been monitoring but which looks to not be entirely reliable.

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A chap called Kevin posted a comment on a previous posting of mine asking did you ever come across anything that could be used to change the LDAP server settings from a command line (admintool.exe, UDML, or otherwise)? I did a quick play around with some UDML and it appears that you can. Set up the initial LDAP server definition in the RPD First I added a dummy LDAP server to samplesales.

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Cary Millsap recently published a paper “Mastering Performance with Extended SQL Trace” describing how to use Oracle trace to assist with troubleshooting the performance of database queries. As with all of Cary Millsap’s papers it is superbly written, presenting very detailed information in a clear and understandable way. (and yes I do have a DBA crush ;-)) It discusses how you can automate the tracing of specific sessions on the database, and requiring the application to be appropriately instrumented.

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Introduction This is the third part of three detailed articles making up a mini-series about OBIEE monitoring. It demonstrates how to capture OBIEE performance information, and optionally graph it out and serve it through an auto-updating webpage. This final article describes how to bolt on to OAS a simple web page hosting the graphs that you created in part 2, plotting data from OBIEE collected in part 1. The webpage This is just an old-school basic HTML page, with a meta-refresh tag (which note that Chrome doesn’t work with) and img tags:

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Introduction This is the second part of three detailed articles making up a mini-series about OBIEE monitoring. It demonstrates how to capture OBIEE performance information, and optionally graph it out and serve it through an auto-updating webpage. This article takes data that part one showed you how to collect into a tab-separated file that looks something like this: [sourcecode] 2010-11-29-14:48:18 1 0 11 0 3 2 1 676 340 0 53 1 0 41 0 3 0 2010-11-29-14:49:18 1 0 11 0 3 2 1 676 0 0 0 1 0 0 0 3 0 2010-11-29-14:50:18 2 0 16 1 4 3 1 679 0 0 0 1 0 0 0 4 0 2010-11-29-14:51:18 2 2 19 1 4 3 1 679 32 0 53 1 0 58 0 4 0 2010-11-29-14:52:18 2 1 19 1 4 3 4 682 0 0 0 1 0 0 0 4 0 2010-11-29-14:53:18 2 1 19 1 4 3 4 682 0 0 0 1 0 0 0 4 0 2010-11-29-14:54:18 2 0 19 1 4 3 1 682 0 0 0 1 0 0 0 4 0 [/sourcecode]

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Introduction This is the first part of three detailed articles making up a mini-series about OBIEE monitoring. It demonstrates how to capture OBIEE performance information, and optionally graph it out and serve it through an auto-updating webpage. For some background on OBIEE’s Systems Management component, along with JMX and MBeans, see here and here. The following assumes you know your mbeans from coffee beans and jmx from a bmx. The metric collection is built around the jmxsh tool.

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Those of you who read my blog regularly may have noticed I have a slight obsession with the OBIEE systems management capability which is exposed through JMX. Venkat has blogged this week about JMX in OBI11g, and it’s clearly a technology worth understanding properly. I’ve recently been tinkering with how to make use of it for monitoring purposes, most recently using JConsole and discussed here. What follows is an extension of this idea, cobbled together with a bit of shell scripting, awk, gnuplot, and sticky backed plastic.

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Hot on the heels of one problem, another has just reared its head. Users started reporting an error with reports that included charts: [sourcecode] Chart server does not appear to be responding in a timely fashion. It may be under heavy load or unavailable. [/sourcecode] Set up is a OBIEE 10.1.3.4.1 two-server deployment with BI/PS/Javahost clustered and loadbalanced throughout. Diagnostics Javahost was running, and listening, on both servers: [sourcecode] $ps -ef|grep javahost obieeadm 14076 1 0 Nov 25 ?

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They say about travelling that it’s the journey and not the destination, and the same is true with this problem we hit during a deployment to Production. We were deploying a new OBIEE 10g implementation, with authentication provided by Microsoft Active Directory (AD) through the LDAP functionality in OBIEE. As a side note, it’s a rather nice way to do authentication, although maybe I’m biased coming from our previous implementation which used EBS integrated authentication and was a bugger to set up and work with.

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Folk from Yorkshire are tight, so the stereotype goes. So here’s a cheap-ass way to monitor OBIEE 10g using nothing but the OBIEE built-in systemsmanagement component, the jmx agent, and jconsole (which is part of the standard Java distribution): From here you can also export to CSV the various counters, and then store history, plot it out with gnuplot or Excel, etc. If anyone’s interested let me know and I’ll document a bit more about how I did this, but it’s basically building on previous work I’ve documented around jmx and OBIEE.

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Jeff McQuigg has posted two presentations that he gave at Openworld 2010 on his website here: http://greatobi.wordpress.com/2010/10/26/oow-presos/ They’re full of real content and well worth a read. There’s excellent levels of detail and plenty to think about if you’re involved in OBI or DW development projects.

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More of a unix thing than DW/BI this post, but I have a beard so am semi-qualified…. The requirement was to improve the performance of some ODI processing that as part of its work was taking one huge input file, and splitting it into chunks based on content in the file. To add some (minor) spice the file was fixed width with no deliminators, so the easy awk answers that I found on google weren’t applicable.

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I’m a geek. I like understanding things in their absolute entirety. It frustrates me to have to make presumptions or assumptions about something. I like to get down ’n dirty and find out what makes things tick. So that necessitates reading manuals. And unfortunately, Oracle don’t make that easy all the time. Some of the manuals are not very good, and others are difficult to find. Given the complexity of the OBIEE stack and proliferation of terminology and product names, sorting the wheat from the chaff can be a headache.

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@alexgorbachev tweeted me recently after picking up my presentation on Performance Testing and OBIEE. His question got me thinking, and as ever the answer “It Depends” is appropriate here :-) Why is the measurement being done? Without knowing the context of the work Alex is doing, how to measure depends on whether the measurement needs to be of: - The actual response times that the users are getting, or The response times that the system is currently capable of delivering This may sound like splitting hairs or beard-scratching irrelevance, but it’s not.

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Here are a couple of little unix scripts that I wrote whilst developing my performance testing OBIEE method. They’re nothing particularly special, but may save you the couple of minutes it’d take to write them :) Note that some of this data is available from Usage Tracking and where it is I’d recommend getting it from there, databases generally being easier to reliably and repeatably query than a transient log file.

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OBIEE 11g is going to be officially launched on 7th July (this year!) in London: Launch Event: Introducing Oracle Business Intelligence Enterprise Edition 11g h/t to Twitter and blogs (including an Oracle-branded one) this morning. Good news travels fast! :-) Looks like John Minkjan won the bet, did he know something we didn’t? ;-) (although is “Launch” the same as “GA”?)

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Here’s my presentation “Performance Testing and OBIEE” that I gave at the RittmanMead BI Forum 2010: Performance Testing and OBIEE.pptx It’s a Powerpoint 2007 file (pptx) for which you may need the Microsoft PowerPoint Viewer 2007. I’ve included copious notes on each slide which hopefully cover the gist of what I talked about when I was delivering it. There are also a handful of funky animations which is why I’ve left it in pptx and not exported to PDF or other format (sorry Open Office users).

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I’ve just returned from the RittmanMead 2010 BI Forum which this year was at the Seattle Hotel in Brighton Marina. The event was limited to 50 attendees, and I think this was a good number. The event was explicitly pitched at a very technical expert level, and the audience very much represented this. Whereas at a larger conference you may find the odd manager wandering around pretending to be technical ;-) this event was most definitely not pitched at such types.

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Troubleshooting EBS-BI integrated authentication can be a tiresome activity, so here’s a shortcut that might help. If you suspect the problem lies with EBS then you can leave OBIEE out of the equation. Login to EBS Use FireBug or Fiddler2 to inspect web traffic as follows: Click the BI link from EBS Should be first a request to EBS server, which returns 302 and redirects to http://<bi server>:<port>/analytics/saw.dll?Dashboard&acf=101507310 Record the value of acf (eg 101507310)

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