Is there any way to achieve high tps making minimal connections using LoadRunner.
I am using Java protocol to test MQ.
Current scenario could achieve 30 TPS putting load of 15 Vusers.
Is there any way to use 2,3 Vusers and achieve 30 TPS?
My scenario looks like this,
init()-- Make connection to Qmgr
Action()-- sending message and getting the response
End()--- closing the connection.
So you're saying currently for each virtual user you can only achieve 2TPS.
If you have more than one iteration defined in your run time settings, then the 'Action' should be looping and reusing the current connection. If you're already doing this then that is as fast as you can go with a single thread.
Ensure the script is correctly re-using the connection within Action().
Otherwise the only way to speed things up is to optimise the code of the script.
Ensure that the messages aren't consumed too fast, I've found that trying to read off an empty IBM MQ can cause vusers to stall.
Related
Jmeter tests are run in master slave fashion with around 8 slave machines. However with the remote batching mode set to MODE_STRIPPED_BATCH, I am not able to run tests for more than 64 hours. Throughput is around 450 requests per minute, and per slave machine it results in the creation of jtl files that are around 1.5 gb. All 8 slaves are going to send this to the master (1.5 gb x 8) and probably the I/O gets too much for the master to handle. The master machines memory is at 16 gb ram and has disk storage of around 250 gb. I was wondering if the jmeter distributed architecture has any provision to make long running soak tests possible without any un explained stress on the master machine. Obviously I have the option to abandon master slave setup and go for 8 independent nodes, however I'll in that case run into complications with respect to serving data csv files ( which I currently serve using simple table server plugin from the master m) and also around aggregating result files. Any suggestions please. It would be great to be able to run tests atleast for around 4 days (96 hours or so).
I would suggest to go for an independent JMeter workers + external data collector setup.
Actually, the JMeter right-out-of-the-box "distributed scaling" abilities are weak, way outdated & overall pretty ridiculous. As well as it's data collection/agregation/processing abilities.
This situation actually puzzles me a lot - mind you, rivals are even worse, so there's literally NOTHING in the field (except for, perhaps, some SaaS solutions trying to monetize on this gap).
But is is what it is...
So that's about why-s, now to how-s.
If I were you, I would:
Containerize the JMeter worker
Equip each container with a watchdog to quickly restart the worker if things go south locally (or probably even on schedule to refresh it ultimately). Be that an internal one, or external like cloud services have - doesn't matter.
Set up a timeseries database - I recommend InfluxDB, it's an excellent product & it's free in basic version (which is going to be enough for your purposes).
Flow your test results/metrics into that DB - do not collect them locally! You can do it right from your tests with pretty simple custom listener (Influx line protocol is ridiculously simple & fast), or you can have external agent watching the result files as they flow. I just suggest you not to use so called Backend Listner to do the job - it's garbage, it won't shape your data right, so you'd have to do additional ops to bring them to order.
If you shape your test result/metrics data properly, you've get 'em already time-synced into a single set - and the further processing options are amazingly powerful!
My expectation is that you're looking for the StrippedAsynch sampler sender mode.
As per the documentation:
Asynch
samples are temporarily stored in a local queue. A separate worker thread sends the samples. This allows the test thread to continue without waiting for the result to be sent back to the client. However, if samples are being created faster than they can be sent, the queue will eventually fill up, and the sampler thread will block until some samples can be drained from the queue. This mode is useful for smoothing out peaks in sample generation. The queue size can be adjusted by setting the JMeter property asynch.batch.queue.size (default 100) on the server node.
StrippedAsynch
remove responseData from successful samples, and use Async sender to send them.
So on slave node add the following line to user.properties file:
mode=StrippedAsynch
and on the master node define asynch.batch.queue.size, to be as high to not to have impact onto JMeter's throughput (won't slow it down) and as low to not to overwhelm the master. I would start with 1000.
Another option is using StrippedDiskStore but you will have to manually collect serialized results after test completion (make sure that slave processes will not shut down because the results will be deleted when slave process finishes)
You could use JMeter PerfMon Plugin to monitor memory and network usage on master and slaves.
I'm trying to test my https endpoint with JMeter. I want to make at least 10000 requests per second, but when I set the number of threads to 10000 I get way less rps, around 500.
I've tried setting the number of threads to 1000 and 100, surprisingly I get this same number of rps. I'm using HTTP Sampler and "use Keep-Alive" is set to true. When I look in the statistics I see that when using 100 threads, it makes use of Keep-Alive and connect_time is around 100 ms, but when the number of threads is higher connect_time grows, it's like it stops reusing the connections.
I know this isn't a server issue, because I've tried testing that same endpoint with Yandex.Tank and phantom and it can easily maintain 10 000 requests per second, the problem is it can't use response data to make furhter requests, that's why I have to use JMeter for this task.
This can be done by using "Stepping thread group". It will allow you to send 10000 request per second upto specified time. Refer below image.
Stepping Thread Group
Download jar from below link.
https://jmeter-plugins.org/wiki/SteppingThreadGroup/
I hope you are trying to achieve this using one machine. Try with multiple machine or jmeter distributed mode.
https://jmeter.apache.org/usermanual/jmeter_distributed_testing_step_by_step.pdf
https://www.blazemeter.com/blog/how-to-perform-distributed-testing-in-jmeter/
https://blazemeter.com/blog/3-common-issues-when-running-jmeter-scripts-and-how-solve-them/
I am assuming that it is the issue with machine which is not able to generate that much load. Usually, i have use max 300 threads per machine but it depend on the machine config. Just check if the machine is having issue and multiple machine is able to generate more load, considering server is not having any issue.
Hope this helps.
Update:-Usually 200-500 can be handled my modern machines.
Please check the below link to have some more info:-
1.How do threads and number of iterations impact test and what is JMeter’s max. thread limit
2.https://www.blazemeter.com/blog/what%e2%80%99s-the-max-number-of-users-you-can-test-on-jmeter/ .
I want to load test a URL by hitting it few hundred times at same millisecond . I tried JMeter but I could hit 2 request at same millisecond. This seems to be problem that my machine cant create threads fast enough . Is there any solution to the issue ?
In JMeter you can use synchronizing timer setting it to 100, this way all threads will wait until there are 100 available and hit the server:
http://jmeter.apache.org/usermanual/component_reference.html#Synchronizing_Timer
Another solution is to increase the number of Threads so that you hit this throughput.
In next coming version (2.8) of JMeter you will be able to create threads on demand (created once needed).
Anyway hitting few hundred times at same millisecond is a high load so you will have to tune JMeter correctly.
Regards
Philippe
JMeter uses blocking HTTP client, in order to hit the server at the exact same time with 100 reqeusts you need 100 threads in JMeter. Even providing that, you still don't have 100 cores to actually run such code at the same time. Even if you had 100 cores, it takes some time to start a thread, so you would have to start them in advance and synchronize on some sort of barrier. And that is not supported in JMeter.
Why do you really want to run your server "at same millisecond"? An ordinary load test just calls the server with as many connections as possible, but not necessarily at the same time. Moreover, sometimes you are even adding random sleep between requests to simulate so-called think time.
As per Philippe's answer, JMeter does in fact support synchronous requests. But maybe for what you want something like Apache Bench using -c100 (or tune it to whatever works) is a better option? It's pretty basic stuff but then the overhead is a lot smaller which might help in this situation.
But I would also steal from Tomasz's answer and echo his concern that perhaps this is not really the best way to approach load testing. If you're trying to replicate real life traffic then do you really need such a high level of concurrency?
You need to use Jmeter-server and a host of client machines for load generation. Your single machine is not enough to generate the load itself.
I've been messing around with Ruby and threading a little bit today. I have a list of proxies that I want to check. Assuming a timeout of 10 seconds going through a very large list of proxies will take many hours if I write something that goes like:
proxies.each do |proxy|
check_proxy(proxy)
end
My first problem with trying to figure out threads is how to START multiple at the same exact time. I found a neat little snippet of code online:
for page in pages
threads << Thread.new(page) { |myPage|
puts "Fetching: #{myPage}\n"
doc = Hpricot(open(myPage.to_s)).to_s
puts "Got #{myPage}: #{doc.size}"
}
end
Seems to work nicely as far as starting them all at the same time. So now I can... start checking all 7 thousand records at the same time?
How do I go to a file, take out a line for each thread, run a batch of like 20 and repeat the process?
Can I run a while loop that in turn starts 20 threads at the same (which remove lines from a file) and keeps going until the file is blank?
I'm a little weak on the logic of what I'm supposed to do.
Thanks guys!
PS.
Another thought: Will there be file access issues if 20 workers are constantly messing with it randomly? What would be a good way around that if this is so?
The keyword you are after is threadpool. You can either try to find one for Ruby (I am sure there's couple at least on Github), or roll your own.
Here's a simple implementation here on SO.
Re: the file access, IMO you shouldn't let workers alter the file directly, but do it in your main thread. You don't want to allow simultaneous edits there.
Try to use gem DelayJob:
https://github.com/tobi/delayed_job
You don't need to generate that many Threads in order to do this work. In fact generating a lot of Threads can decrease the overall performance of your application. If you handle checking each proxy asynchronously, without blocking, you can get by with far fewer threads.
You'd create a file manager thread to process the file. Each line gets added as a request to an array(request queue). On the other end of the request queue you can use eventmachine to send the requests without blocking. eventmachine would also be used to receive the responses and handle the timeout. The response can then be placed on another array(response queue) which your file manager thread polls. The file manager thread pulls the responses from the response queue and resolves if the proxy exists or not.
This gets you down to just creating two threads. One issue that you will have is limiting the number of requests that have been sent since this model will be able to send out all of the requests in less than a second and flood the nearest router. In my experience you should be able to have around 500 outstanding requests at any one time.
There is more than one way to solve this problem asynchronously but hopefully the above is enough to help get you started with non-blocking I/O.
I have an application running in CF8 which does calls to external systems like search engine and ldaps often. But at times some request never gets the response and is shown always in the the active request list.
Even tho there is request timeout set in the administration, its not getting applied to these scenarios.
I have around 5 request still pending to be finished for the last 20hours !!!
My server settings are as below
Timeout Requests after ( seconds) : 300 sec
Max no of simultaneous requests : 20
Maximum number of running JRun threads : 50
Maximum number of running JRun threads : 1000
Timeout requests waiting in queue after 300 seconds
I read through some articles and found there are cases where threads are never responded or killed. But i dont have a solid solution how can i timeout this or kill this automatically
really appreciated if you guys have some idea on this :)
The ColdFusion timeout does not apply to 'third party' connections.
A long-running LDAP query, for example, will take as long as it needs. When the calling template gets the result from the query your timeout will apply.
This often leads to confusion interpreting errors. You will get an error saying that whichever function after the long running request causes the timeout.
Further reading available here
You can (and probably should) set a timeout on the CFLDAP call itself. http://help.adobe.com/en_US/ColdFusion/9.0/CFMLRef/WSc3ff6d0ea77859461172e0811cbec22c24-7f97.html
Thanks, Antony, for recommending my blog entry CF911: Lies, Damned Lies, and CF Request Timeouts...What You May Not Realize. This problem of requests not timing out when expected can be very troublesome and a surprise for most.
But Anooj, while that at least explains WHY they don't die (and you can't kill them within CF), one thing to consider is that you may be able to kill them in the REMOTE server being called, in your case, the LDAP server.
You may be able to go to the administrator of THAT server and on showing them that CF has a long-running request, they may be able to spot and resolve the problem. And if they can, that may free the connection from CF and your request then will stop.
I have just added a new section on this idea to the bottom of that blog entry, as "So is there really nothing I can do for the hung requests?"
Hope that helps.