Hi, Recently, I was working on a poc of Salesforce CRM performance testing. There were a lot lot of correlations. I tried with tool neload and Jmeter both. Whenever I was using autocorrelation of neoload , I was ending up making some mistakes. I rarely use autocorrelation in both neload and loadrunner.
Is there any possibility of implementaing autocorrelation in Jmeter in future? It would be nice though. :-) On Aug 18, 2017 23:02, "UBIK LOAD PACK Support" <[email protected]> wrote: Hi Alexander, >From our experience large number of correlation is usually related to "particular protocols" or frameworks or RIA for example: - Oracle JDEdwards - Siebel - SAP BO/BI - Vaadin ... For other usual webapps (Ajax, Angular based...) , the number of correlation is reasonable and not so complex even manually done using native JMeter techniques: - Var replacement on recording - Search/replace available now in GUI - Usual extractors (css, regex, json, xpath) And using scoping can factor out those rules to only code them once. That's why we asked the question on technology. But I am pretty interested by your feedback on this and know what technology your current app is based on to see if it is in those technologies I mention. I am also interested to know if auto correlation really works in other well-known tools. There was a discussion on user mailing list few years ago about this topic and I remember reading one of your post about auto correlation saying it worked in a pretty low percentage of cases. Regards On Friday, August 18, 2017, Alexander Podelko <[email protected]> wrote: > Hi, > > Does the question assume that it should be a very exotic technology? A > large number of correlations needed is rather typical for business > applications - actively using different frameworks, AJAX, RIA, etc... > > One application I am working with has dozens of variables to correlate > and, in particular, has a context id changing in each request. So in every > single request (and there are a few hundreds of them) we need to extract > this context id and use it in the next request (an AJAX technology). The > idea to do it manually request-by-request doesn't look appealing to me at > all. > > As the term "auto correlation" is understood differently, I'd ask a more > specific (not sure if it identical to the original question or not) - I > wonder if there is a way in JMeter to create correlation rules/libraries > and correlate scripts based on these correlation rules/libraries. That > appears as rather basic functionality for me, but I can't find any > information about it anywhere (except OctoPerf on the top of JMeter). > > Thanks, > Alex > > > On Thursday, August 17, 2017, 10:15:08 AM EDT, UBIK LOAD PACK Support < > [email protected] > <javascript:_e(%7B%7D,'cvml','[email protected]');>> wrote: > > > Hello, > What is the technology your application is based on ? > > Thanks > > On Thursday, August 17, 2017, Pravesh Prajapati < > [email protected] > <javascript:_e(%7B%7D,'cvml','[email protected]');>> > wrote: > > > So Say for example in my scripts there is 100 of correlation, if I will > do > > it manually then it take more efforts and time. > > Is there is any way to handle this. > > > > Regards, > > Pravesh P. > > > > On Thu, Aug 17, 2017 at 2:28 PM, Bhabani Sankar Das < > > [email protected] > <javascript:_e(%7B%7D,'cvml','[email protected]');> > <javascript:;>> wrote: > > > > > There is no concept of auto correlation in Jmeter. You have to go for > > > manual correlation. > > > > > > On Aug 16, 2017 14:44, "Pravesh Prajapati" < > [email protected] > <javascript:_e(%7B%7D,'cvml','[email protected]');> > > <javascript:;>> > > > wrote: > > > > > > > Hi Team, > > > > > > > > How can we do auto correlation in Jmeter. > > > > please help. > > > > > > > > -- > > > > Regards, > > > > Pravesh prajapati. > > > > Mob:-9702600170 > > > > > > > > > > > > > > > -- > > Regards, > > Pravesh prajapati. > > Mob:-9702600170 > > > > > -- > > Regards > Ubik Load Pack <http://ubikloadpack.com> Team > Follow us on Twitter <http://twitter.com/ubikloadpack> > > > Cordialement > L'équipe Ubik Load Pack <http://ubikloadpack.com> > Suivez-nous sur Twitter <http://twitter.com/ubikloadpack > > > -- Regards Ubik Load Pack <http://ubikloadpack.com> Team Follow us on Twitter <http://twitter.com/ubikloadpack> Cordialement L'équipe Ubik Load Pack <http://ubikloadpack.com> Suivez-nous sur Twitter <http://twitter.com/ubikloadpack>
