Problem statement:
Since request by default in LR are executed sequentially so it is contributing to more response time than actual response time observed.
Question:
1.How to know which request need to be called sequential and which ones as parallel by doing recording of a particular transaction?
2.Is there a way to record parallel and sequential requests in Loadrunner in an order as being called in browser? And same way the api will be called during execution mimicking browser api waterfall structure.
TIA
Related
In my Jmeter script request which contains the 'LongPolling' transport method and it takes a high load time or response time
Also, the response message content value is used for the next consecutive request. How can I handle that scenario?
I don't want this my wait time for the server response
JMeter thread model assumes that a thread (virtual user) always waits for the previous sampler to fully complete before starting the new one.
The easiest solution is moving your "long-polling" requests into a separate thread group and if you need to pass data between thread groups either use __setProperty() and __P() functions combination or go for Inter-Thread Communication Plugin
If you need to have everything within the single Thread Group - you can consider using Parallel Controller, however it might not be fully suitable for your needs as it is still a Sampler hence it waits for all its children completion prior to proceeding
Depending on your use case you can find jmeter-asynchronous-http plugin useful, see How to Load Test Async Requests with JMeter article for more details if needed.
I have read the user guide, here or on Blazemeter blogs regarding usage of flow action to implement dynamic pacing in Jmeter script with help of a JSR223 timer. I wanted to check if I can use JMX dummy sampler to implement the same JSR223 timer?
Does it really impact performance if using Dummy Sampler vs Flow Action in performance test scripts as both are samplers only. Please advise and any support link would be appreciated.
Impact performance of what?
"Pacing" is yet another approach to control the number of hits per second by slowing down the requests for whatever reason (not to overwhelm the application, send desired number of requests per second, etc.)
Any implementation of "pacing" is "killer" of the performance because it adds a pause between iterations instead of starting new iteration immediately so your question doesn't make a lot of sense. If you want to use the most resource efficient solution - you need to either share your implementation details for these 3 approaches or better measure it yourself using a profiler tool
If you're looking for a easier/better way of sending requests at constant rate instead of implementing the "pacing" I would rather recommend considering using of the following test elements:
Constant Throughput Timer
Precise Throughput Timer
Throughput Shaping Timer
I record and run the Jmeter script by keeping number of users = 1, in tread group.
Results tree output:
I increased the number of users to 3 and result tree output order changed.
Therefore my some of regular expression exacter logics get failed and resultant responses failed. How can I avoid this situation.
Is there way to manage result tree execution order.
If your regular expressions are under the requests and not at the same level as of HTTP requests then it should not be a problem.Every thread/vUser will run independently. But, in view results you will see request as and when executed by different threads and not in sequence.
As per JMeter Functions and Variables user manual chapter:
Variables are local to a thread
Each JMeter thread (virtual user) executes Samplers upside down (or according to the Logic Controllers). JMeter threads are absolutely independent from each other and each thread has its own variables.
So the problem must be somewhere else, inspect the state of the variables using Debug Sampler and the response data for /oauth calls - it might simply not contain the necessary token value.
Also there is a suspicious call to bundle.js, my expectation is that you should not be executing it directly. The good practices is to configure HTTP Request Defaults to download embedded resources and use parallel pool to be closer to what real browsers do.
See Web Testing with JMeter: How To Properly Handle Embedded Resources in HTML Responses article for more detailed explanation.
I want to simulate a scenario in which a page contains multiple requests for differ data. All runs concurrently. I created a Thread Group with all those requests and ran it for 10 users(Threads) in 0sec ramp up time. But in this Test Plan all users starts concurrent but they all process requests in sequential way i.e.(always completes first request then starts 2nd,then third,so on).
I want that all requests of each user starts at same time then completes according to their response time (Like if 3rd takes less time than first then it should complete before 1st and 2nd). I have tried Synchronize time.
I don't think it is possible at the moment, the relevant enhancement is being tracked as Bug 53159
In the mean time you have 2 options:
Use different Thread Groups to kick off the requests. If you need to synchronize the requests you can use i.e. Inter-Thread Communication plugin.
Develop some custom code using JSR223 Sampler or even create your custom sampler, see How to Load Test AJAX/XHR Enabled Sites With JMeter for details on how this can be done.
I'm trying to understand the basics of JMeter. I've got a "plus1" Java servlet that adds one to a request parameter and returns the result, so it's a fast test servlet just so I can understand load testing.
Here's my test plan:
Thread Group: 1 thread, ramp up 1 s, loop count 10000
HTTP Request to localhost
Graph Results
Summary Report
When I run this, the summary report shows a throughput number of 200/sec or so.
The key question, with no controllers in the test plan, is JMeter running the test plan (sending a single request) and waiting for the response before looping?
When I introduce a more computationally intensive page for the request, the throughput number goes down as I would expect.
In short, yes.
There is an argument for having a sampler that would make a request and not wait for the response but it's an edge case. In most cases you would want a testing tool to wait to see what happens and verify things. It's also more realistic, most users will wait for a response, in fact they generally have to, before making subsequent calls.
If you want to run a capacity test then the best approach, I think, is to spread the load over multiple threads and to actually throttle the throughput of each one - you can do this using a Constant Throughput Controller. Eg. You could have 500 threads each running at 60 requests per minute, this would give a total load of 500 reqs/sec. This way, your test load is predictable and stable - it won't be linked to the speed of response from the server. Note. with multiple threads you'll want a ramp up period and you might find you have to spread the test over multiple machines (known as 'distributed' testing if you're going to google it).