I have configured Jmeter test that has got 1 thread group, with 40 threads, ramp up period of 60 seconds and is scheduled to run for 10 minutes. It consists of a HTTP sampler.
Upon running this, the throughput I get is 52/min. Which means that the request time for each request was under 1.20 seconds.
Now, if I add a constant throughput timer to the thread group of 25/min across all active threads, then, upon completing the test, I get the final throughput as 30/min and the average elapsed time of 5 seconds. Should it not have been 2 seconds (since throughput is 30/min)? Why has the average elapsed time increased when I have reduced the throughput?
When the test is about to end, the elapsed time for the last few requests shoots up to about 15000 miliseconds (where as the usual average elapsed time is under 5000 milisseconds). Why is that?
It sounds like a memory leak as given the application is under the same load from 1st till 10th minute of the test inclusively response time should remain more or less the same for this time frame.
If response time grows, most probably it means that the application is overloaded, either requests are being queued up or it starts using page file or performs garbage collection.
I would recommend setting up monitoring of the baseline health metrics of your application like CPU, RAM, Network, Disk, Swap usage as it might explain the described behaviour. It can be done using JMeter PerfMon Plugin.
It would also be a good idea to monitor application-specific metrics or even run it under profiling tool telemetry during the load test, this way you will find the slowest/most resources consuming part(s) of your application.
And last but not the least, ensure that JMeter has enough headroom to operate (using the same approach as above) as if you don't follow JMeter Best Practices you may run into the situation when JMeter is not capable of sending requests fast enough causing false negative results.
Related
i have to loadtest apis with 10k rpm,what should be the ramp up time and execution time.
10k rpm = 10k/60=166 req/sec i.e 166 concurrent users
but don't know to calculate exact ramptime time and execution time.
currently standard set is 60min execution and 15 min ramp up in the org
10k rpm = 10k/60=166 req/sec i.e 166 concurrent users
166 concurrent users don't necessarily mean 166 requests per second, moreover it will happen only if response time for each Sampler will be 1 second sharp.
If response time will be 2 seconds - you will have 83 requests per second
If response time will be 0.5 seconds - you will have 332 requests per second
So you need to supply sufficient amount of threads and add a relevant Timer like Constant Throughput Timer or Throughput Shaping Timer to slow down JMeter throughput to the desired value. The latter one can be connected with the Concurrency Thread Group so JMeter would be able to kick off extra threads if the current amount is not sufficient to conduct the required load.
And the system under test need to be able to respond fast enough because JMeter waits for the response from the previous request before starting a new one.
With regards to ramp-up, there are no exact numbers recommendations, the only approach you can follow is increasing the load gradually so you would be able to correlate the increasing load with increasing throughput, response time, number of errors and so on.
If you don't have better ideas you can go for the quote from the JMeter user manual:
The ramp-up period tells JMeter how long to take to "ramp-up" to the full number of threads chosen. If 10 threads are used, and the ramp-up period is 100 seconds, then JMeter will take 100 seconds to get all 10 threads up and running. Each thread will start 10 (100/10) seconds after the previous thread was begun. If there are 30 threads and a ramp-up period of 120 seconds, then each successive thread will be delayed by 4 seconds.
Ramp-up needs to be long enough to avoid too large a work-load at the start of a test, and short enough that the last threads start running before the first ones finish (unless one wants that to happen).
Start with Ramp-up = number of threads and adjust up or down as needed.
It completely depends on what exactly needs to be achieved
Things to consider:
Test execution duration and ramp up/ramp down of users, needs to evaluated based on the AUT(Application under Test) Real user utilization in Production.(Capture the number of users active at particular point of time in system)
Watch out for pattern of users entering/exiting the system.
Calculate User load/ RPM using Little's Law.
Some of the common test Types includes.
Baseline Test (Initial testing conducted with very minimal load to test the stability of the application)
Load Test (To evaluate applications performance under gradually increasing User load with expected concurrent number of users
Stress Test (Testing beyond normal conditions, increasing the user load until the Response time exceeds acceptable criteria. Usually done to find the breakpoint of the application, responsiveness of the application for higher volume traffic
Endurance Test ( To test for a longer durations, by applying varying loads.)
I am using Jmeter for load testing and I'm new to this. I have an API where I want to send around 36000 requests in a given time, which is- 5 minutes. What should be the configuration of threads, ramp-up time, loop-count, and constant throughput timer for this scenario?
I am using the following configurations, but I am unable to reach the decided RPS-
Thread- 1000
Ramp-up- 5 Minute
loop-count 36
constant throughput timer- 7200
Where is my configuration wrong?
You can try to reduce the ramp-up period to be close to zero and increase the number of loops to "infinite", the total number of requests can be limited using Throughput Controller
In general there could be 2 main reasons of not being able to conduct the required load:
JMeter cannot produce the desired number of hits per second. Things to try:
Make sure to follow JMeter Best Practices
Increase number of threads in Thread Group
Consider switching to Distributed Testing mode
Application cannot handle that many requests per second. Things to try:
Inspect configuration and make sure it's suitable for high loads
Inspect CPU, RAM, Disk, etc. usage during the load test, it might be simply lack of resources, it can be done using JMeter PerfMon Plugin
Re-run your test with profiler tool telemetry enabled
Raise a ticket as it is a performance bottleneck
As per the Documentation - "Of course, if the server is not able to handle such a load, the throughput will be lower." How is this behavior handled and throughput calculated?
Suppose I set the target throughput as 1500/min but my system could handle only 1000/min, what kind of feedback behavior is expected by JMeter and how is the total throughput affected?
Will the JMeter still try to achieve 1500/min with higher error rate (for failed requests) or JMeter shoots the throughput to 1500/min but gradually comes back near to 1000/min based on certain factors like error rate? If yes, what are the factors determining this step-down, any insight/reference to understand this step-down behavior?
Either you do not have enough threads in the test plan to achieve your desired TPS or your application response time is higher.
The total number of requests you will be able to make through JMeter depends on your application response time.
So you will need at least 25 threads to achieve 1500/min if your average response time is 1 second (assuming there is only 1 request).
If throughput isn't increasing even after providing with enough threads but the response time increasing and some of your requests got failed, then this indicates the performance bottleneck!
JMeter cannot send requests faster than your application is capable of responding. If your application can only serve 1000 requests per minute - you will have 1000 requests per minute no matter how many threads you have in the Thread Group or how many requests per minute you specify in the Constant Throughput Timer.
Also be aware that:
Constant Throughput Timer can only pause the Threads, it will not do anything if the current amount of threads is not enough to reach/maintain the desired throughput
Constant Throughput Timer is accurate enough on minute level so consider choosing proper ramp-up settings otherwise you can stress your application during first minute of your test
I am trying to stress test my server.
To do so I am using Jmeter and here is my set up:
I use
my Setup
Thread: 1000
schedule for 3 mins
So as you see I keep going with 1000 thread for a period of 3 mins.
But when I look at the throughput I only get around 230 per second
results
So what should I do to increase the through put to for example 1000000 per second? How come increasing the thread which I assume means more load does not increase throughput?
According to JMeter Glossary
Throughput is calculated as requests/unit of time. The time is calculated from the start of the first sample to the end of the last sample. This includes any intervals between samples, as it is supposed to represent the load on the server.
The formula is: Throughput = (number of requests) / (total time).
Throughput explicitly relies on the application response time. Looking into your results, the average response time is 3.5 seconds therefore you will not get more than 1000 / 3.5 = 285 requests per second
Theoretically you could use Throughput Shaping Timer and Concurrency Thread Group combination, this way JMeter will kick off extra threads if the current amount is not enough to reach/maintain the desired throughput, however looking into 8.5% error rate and maximum response time for your application > 2 minutes my expectation is that you will not be able to get more throughput because most probably your application is overloaded and cannot respond faster.
Throughput measures the number of transactions or requests that can be made in a given period of time. basically, it lists the number of requests server managed to serve in a given time period. Throughput value depends on lot of factors and maybe your application under test not able to cater the expected load.
So with 1000 threads, you can't expect a 1000 throughput.
It's up to you to find out how much throughput your application can handle. For that maybe you need to do different optimizations on your side like optimize your script, distribute load via JMeter execution, increase theard count,...etc
I'm getting the following results, where the throughput does not have a change, even when I increase the number of threads.
Scenario#1:
Number of threads: 10
Ramp-up period: 60
Throughput: 5.8/s
Avg: 4025
Scenario#2:
Number of threads: 20
Ramp-up period: 60
Throughput: 7.8/s
Avg: 5098
Scenario#3:
Number of threads: 40
Ramp-up period: 60
Throughput: 6.8/s
Avg: 4098
The my JMeter file consists of a single ThreadGroup that contains a single GET.
When I perform the request for an endpoit where the response time faster (less than 300 ms) I can achieve throughput greater than 50 requests per seconds.
Can you see the bottleneck of this?
Is there a relationship between response time and throughput?
It's simple as JMeter user manual states:
Throughput = (number of requests) / (total time)
Now assuming your test contains only a single GET then Throughput will be correlate average response time of your requests.
Notice Ramp-up period: 60 will start to create threads over 1 minute, so it will add to total time of execution, you can try to reduce it to 10 or equal to Number of threads.
But you may have other sampler/controllers/component that may effect total time.
Also in your case especially in Scenario 3, maybe some requests failed then you are not calculating Throughput of successful transactions.
In ideal world if you increase number of threads by factor of 2x - throughput should increase by the same factor.
In reality the "ideal" scenario is hardly achievable so it looks like a bottleneck in your application. The process of identifying the bottleneck normally looks as follows:
Amend your test configuration to increase the load gradually so i.e. start with 1 virtual user and increase the load to i.e. 100 virtual users in 5 minutes
Run your test and look into Active Threads Over Time, Response Times Over Time and Server Hits Per Second listeners. This way you will be able to correlate increasing load with increasing response time and identify the point where performance starts degrading. See What is the Relationship Between Users and Hits Per Second? for more information
Once you figure out what is the saturation point you need to know what prevents your application from from serving more requests, the reasons could be in:
Application simply lacks resources (CPU, RAM, Network, Disk, etc.), make sure to monitor the aforementioned resources, this could be done using i.e JMeter PerfMon Plugin
The infrastructure configuration is not suitable for high loads (i.e. application or database thread pool settings incorrect)
The problem is in your application code (inefficient algorithm, large objects, slow DB queries). These items can be fetched using a profiler tool
Also make sure you're following JMeter Best Practices as it might be the case JMeter is not capable of sending requests fast enough due to either lack of resources on JMeter load generator side or incorrect JMeter configuration (too low heap, running test in GUI mode, using listeners, etc)