Parallel Execution of requests in SoapUI - soap

I have two request that I want to send simultaneously to an endpoint to see how it responds. For that reason, I created a test suite that have a test case, in which the two requests are added. From that test, I can run the requests sequentially, which is not what I want.
Can any one help ?

Here is what you can do:
Create two test cases
Add each request in each test case
Execute the test suite in parallel mode

You need to run TestCases in parallel mode in TestSuite.

Related

JMeter vs ReadyAPI SOAP API Performance Testing

Scenario: Read data from a CSV file with unknown number of records. Use the data to create Soap XML MSg and Post Method. Continue to do this until all the records have been read.
Problem: I used ReadyAPI to perform these actions and was able to achieve the intended TPS at server with whatever i have provided in VU's option. Tried with 150 vu's and observed constant load of 150 requests at the server. But when i try to do the same in JMeter, i was not able to achieve more than 70 TPS and the load isn't evenly distributed as well no matter how many threads i use. I am using a Thread Group, CSV DataSet Config, UserDefined Parameters to create unique request ID and JSR223 PreProcessor with Groovy Script as a child of HTTPRequest to remove empty xml tags.
Read some posts where it was mentioned that JMeter throughput will be stagnant based on servers response capability. But it's not in my case since i can generate 150TPS with ReadyAPI. Annual Licensing costs and Renewal costs associated with ReadyAPI is the Reason that i am looking for solution with JMeter.
Not only the server need to be able to respond fast enough, JMeter must be able to send requests fast enough as well.
Default JMeter configuration is suitable for tests development and debugging and creating some load (rather limited though), you need to properly tune your JMeter instance in order to fully utilize your machine resources so make sure to follow:
JMeter Best Practices
9 Easy Solutions for a JMeter Load Test “Out of Memory” Failure
If your single machine is not powerful enough to conduct the required load it's possible to run JMeter in distributed mode using as many load generators as needed in order to create the necessary number of virtual users/requests per second

Methods of testing nested celery tasks

To simplify the question, suppose we have a celery task which calls other celery tasks.
My understanding is that there no way to "patch" (as in unit test mock) the task that is being queued within the task you want to test, and therefore you have no means of controlling that nested/queued task internally.
Also, my understanding is that the only way to verify the outcome of this [task you want to test], is to do integration tests, and verify the external effects of the whole flow you just executed.
Therefore it would seem the best solution is avoid as much as possible queuing tasks within tasks and when you do so, to keep it as basic as possible?
Can someone confirm this or provide alternative views on the topic?
Thank you

Is there any utility to run multiple spring batch jobs programmatically ?

Am invoking spring jobs based on event, however i hv couple jobs to execute on specific event which could execute in parallel, Is there any utility class which can execute multiple jobs in parallel? Thanks
We don't offer anything specific for launching multiple jobs based on a single message out of the box with Spring Batch. However, writing a message handler that can handle that scenario should be pretty trivial.

Activiti Rest - Calling multiple instances concurrently

I have defined some simple BPM flows (F1) and deployed in activiti-rest.war. For simplicity, I have take a simple start-end flow.
I have written a REST client to execute the flow (F1) in parallel threads (20) with its required parameters for 1000 http requests.
Problem: I can see the flows are running sequentially, one by one response for the 20 parallel threads. It took a time of around 60 secs to complete with 20 threads (even when increased to 50 threads) it is the same.
Activiti Version : 5.15
What should be the problem here ?. Any help will be really useful.
activiti-rest/service/runtime/process-instances - Rest URL used to start the instance
Thanks,
Yoka
At last i found the solution.
It could be of two reasons
1) Make sure task's "Exclusive" property is set to false. But it needs more analysis on how your process task will be running. Refer the below link for further information
http://www.activiti.org/userguide/#exclusiveJobs
2) If you run the activity rest application and the client process on a dual-core machine. It might be difficult to assess the response time.
Thanks,
Yoka

Spring Batch - Executing multiple instances of a job at same time

I have a clarification.
Is it possible for us to run multiple instances of a job at the same time.
Currently, we have single instance of a job at any given time.
If it is possible, please let me know how to do it.
Yes you can. Spring Batch distinguishes jobs based on the JobParameters. So if you always pass different JobParameters to the same job, you will have multiple instances of the same job running.
A simple way is just to add a UUID parameter to each request to start a job.
Example:
final JobParametersBuilder jobParametersBuilder = new JobParametersBuilder();
jobParametersBuilder.addString("instance_id", UUID.randomUUID().toString(), true);
jobLauncher.run(job,jobParametersBuilder.toJobParameters());
The boolean 'true' at the end signal to Spring Batch to use that parameter as part of the 'identity' of the instance of the job, so you will always get new instances with each 'run' of the job.
Yes you can very much run tasks in parallel as also documented here
But there are certain things to be considered
Does your application logic needs parallel execution? Because if if you are going to run steps in parallel, you would have to take care and build application logic so that the work done by parallel steps is not overlapping (Unless that is the intention of your application)
Yes, it's completely possible to have multiple instances (or executions) of a job run concurrently.