In jMeter
I have a test plan with 100 virtual users. If i set ramp up time to 100 then the whole test takes 100 sec to complete the whole set. That means each thread takes 1 sec to perform for each virtual user. Meaning that each thread is carried out step by step. However, each thread is carried out after completion of previous one.
Problem: I need 100 users accessing the website at a same time , concurently and simultaneously. I read about CSV but still it does act step wise dosent it. OR if I am not clear about it. Please enlighten me.
You're running into "classic" situation described in Max Users is Lower than Expected article.
JMeter acts as follows:
Threads are being started according to the ramp-up time. If you put 1 there - threads will be started immediately. If you put 100 threads and 100 seconds ramp-up time initially 1 thread will start and each 1 second next thread will be kicked off.
Threads start executing samplers upside down (or according to logic controllers)
When thread doesn't have more samplers to execute and more loops to iterate - it's being shut down.
So I would suggest adding more loops on Thread Group level so threads kicked off earlier kept looping while others are starting so finally you could have 100 threads working at the same time. You can configure test execution time either in Thread Group "Scheduler" section or via Runtime Controller.
Another good option is using Ultimate Thread Group available via JMeter Plugins which provides easy way of configuring your load scenario.
Related
I am trying to perform a load test, and according to our stats (that I can't disclose) we expect peaks of 300 users per minute, uploading files of different sizes to our system.
Now, I created a jmeter test, which works fine, but what I don't know how to fine tune is - aim for certain throughput.
I create a test with 150 users 100 loops, expecting it to simulate 150 users coming and going, and in total upload 15000 files, but that never happened because at certain point tests started failing.
Looking at our new relic monitoring, it seems that somehow I reached 1600 requests in a single minute. I am testing a microservice, running 12 instances, so that might play the role here for a higher number of requests, but even with it I expected tests to pass. My uploaded file was 600kb. In the end, I had 98% failure.
I reduced the file size to 13kb, at that point, I got 17% failiure.
So, there's obviously something with the time needed to upload the bigger file, but I don't understand what causes 150 thread/users in X loops to become 1600 at the same time. I'd expect Jmeter to never start a new loop with the same thread, unless the original user is finished. That being said - I'd expect tops 150 users in a given minute.
Any clarification on how to get exact number of users/threads running at the same time is well appreciated.
I tried to play with KeepAlive checkbox, I tried adding lifetime of request to 10 seconds (all them uploads get response earlier) - but then JMeter finished the Thread, and I had only 150 runs, no loops.
Thanks!
By default JMeter executes Samplers as fast as it can so there are 2 main factors which define the actual throughput (number of requests per unit of time):
JMeter configuration
Application under test response time
So if you're following JMeter Best Practices and JMeter has enough headroom to operate in terms of CPU, RAM, etc. - you are only limited by your application response time as JMeter waits for previous request to finish before starting a new one.
If you need to "slow down" your test execution consider adding i.e. Constant Throughput Timer to your Test Plan where you will be able to define the desired number of requests per minute
Well, I a new developer with Vert.x... so, I have a problem with an implementation with a database connection.
In one or many querys, I have a lot of information like 160K records, those records will be in a JSON object throw GraphQL; so... when the query time is over 30000(ms)... the console says:
Thread Thread[vert.x-eventloop-thread-1,5,main] has been blocked for 5026 ms, time limit is 2000 ms
io.vertx.core.VertxException: Thread blocked
So I investigated about this, and I cannot find a way to resolve, maximize or set a bigger value to the query until these is finish or get all records.
This question is actually covered in detail in the official documentation.
you can’t call blocking operations directly from an event loop, as
that would prevent it from doing any other useful work
That's what you're doing at the moment - calling a blocking operation.
An alternative way to run blocking code is to use a worker verticle A
worker verticle is always executed with a thread from the worker pool.
Run your "slow" code in a worker verticle. Communicate between EventLoop verticls and workers using EventBus. As long as you're inside same VM, passing even large collections over EventBus has no overhead.
Is there a way to synchronize "thread group runs" across slaves in Jmeter's distributed testing?
For example, Suppose my test plan has 2 thread groups and I run JMeter with 2 slaves.If one of the slaves finishes with the first thread group first, I want that particular slave to wait until the other slave gets done with the first thread group as well. Then I want them to proceed with the second one together!
Please help with this problem.
I do not think we have a straight forward method for this in JMeter. I assume you run your thread groups consecutively.
In this Case, Lets have one more thread group in between as given below. Let the thread count be 1. Create a Beanshell Sampler - You can do your own sync operation here. (create a file in a common location - wait till total no of files = total no of slaves. it will almost make your sync accurate.
I think this approach will help!
OR
You can have 2 tests - First Thread Group in 1 JMX file and second thread group in second jmx file. Just call the second test once the first test is complete.
Microsoft's documentation states:
Background tasks are meant to be short-lived tasks that do not consume a lot of resources.
It also says:
Each app on the lock screen receives 2 seconds of CPU time every 15 minutes, which can be used by all of the background tasks of the app. At the end of 15 minutes, each app on the lock screen receives another 2 seconds of CPU time for use by its background tasks.
I need to run a background task every two minutes to update my live-tile.
My app is a lock-screen-app.
Computation is within the CPU and network usage constraints
Can I create a permanent background task (e.g. something which polls a web service and pulls information, waits and loops) to create a OneShot TimeTrigger every two minutes or is there a better way of doing this?
My concern with the background task option is whether the runtime would deem the task inactive while it was sleeping and close it or something else like there's a limit on the number of times a live tile can be updated within 15 minutes...
Yes, if by long lived you mean under 25 minutes.
Time triggers cannot execute more frequent than 15 minutes. Creating a OneShot trigger that executes in 2 minutes is, that's an interesting idea and should work. Yes, background tasks can register other background tasks to keep this chain going. Should the user's machine be off when it execs it will queue later.
Having said that, updating your tile that frequently & using a background task is not a wise solution. Because, it is unreliable. Background tasks can be disabled, for one. But every 15 minutes, you are going to exceed your quota. Try using a Scheduled tile instead.
The short version is I am looking for a way to prioritize certain tasks in SSIS 2005 control flows. That is I want to be able to set it up so that Task B does not start until Task A has started but Task B does not need to wait for Task A to complete. The goal is to reduce the amount of time where I have idle threads hanging around waiting for Task A to complete so that they can move onto Tasks C, D & E.
The issue I am dealing with is converting a data warehouse load from a linear job that calls a bunch of SPs to an SSIS package calling the same SPs but running multiple threads in parallel. So basically I have a bunch of Execute SQL Task and Sequence Container objects with Precedent Constraints mapping out the dependencies. So far no problems, things are working great and it cut our load time a bunch.
However I noticed that tasks with no downstream dependencies are commonly being sequenced before those that do have dependencies. This is causing a lot of idle time in certain spots that I would like to minimize.
For example: I have about 60 procs involved with this load, ~10 of them have no dependencies at all and can run at any time. Then I have another one with no upstream dependencies but almost every other task in the job is dependent on it. I would like to make sure that the task with the dependencies is running before I pick up any of the tasks with no dependencies. This is just one example, there are similar situations in other spots as well.
Any ideas?
I am late in updating over here but I also raised this issue over on the MSDN forums and we were able to devise a partial work around. See here for the full thread, or here for the feature request asking microsoft to give us a way to do this cleanly...
The short version is that you use a series of Boolean variables to control loops that act like roadblocks and prevent the flow from reaching the lower priority tasks until the higher priority items have started.
The steps involved are:
Declare a bool variable for each of the high priority tasks and default the values to false.
Create a pre-execute event for each of the high priority tasks.
In the pre-execute event create a script task which sets the appropriate bool to true.
At each choke point insert a for each loop that will loop while the appropriate bool(s) are false. (I have a script with a 1 second sleep inside each loop but it also works with empty loops.)
If done properly this gives you a tool where at each choke point the package has some number of high priority tasks ready to run and a blocking loop that keeps it from proceeding down the lower priority branches until said high priority items are running. Once all of the high priority tasks have been started the loop clears and allows any remaining threads to move on to lower priority tasks. Worst case is one thread sits in the loop while waiting for other threads to come along and pick up the high priority tasks.
The major drawback to this approach is the risk of deadlocking the package if you have too many blocking loops get queued up at the same time, or misread your dependencies and have loops waiting for tasks that never start. Careful analysis is needed to decide which items deserved higher priority and where exactly to insert the blocks.
I don't know any elegant ways to do this but my first shot would be something like this..
Sequence Container with the proc that has to run first. In that same sequence container put a script task that just waits 5-10 seconds or so before each of the 10 independent steps can run. Then chain the rest of the procs below that sequence container.