control-service: integration test for async job deploy

[mrMoZ1]

what: Add integration test that checks the status of the database when using the new data jobs deployment synchronizer.

why: part of the https://github.com/vmware/versatile-data-kit/tree/main/specs/vep-2272-complete-data-job-configuration-persistence VEP

testing: n/a

[mivanov1988]

As we discussed the test had to be reworked as per @antoniivanov 's comment - #2781 (comment), but I don't think this is the case. Also, you should verify all deployment fields not just 3-4 after each operation through the APIs.

[mrMoZ1]

As we discussed the test had to be reworked as per @antoniivanov 's comment - #2781 (comment), but I don't think this is the case. Also, you should verify all deployment fields not just 3-4 after each operation through the APIs.

The test couldn't be refactored into multiple smaller test cases, since there is apparently some intrinsic state that is lost when executing different test cases. I refactored the larger test cases to call different methods (which were supposed to be ordered tests) and it works that way. When I try to make them into different test cases they fail.

I am also checking all fields except for resources - since they aren't supported yet and if I set them via the POST request the test fails :

versatile-data-kit/projects/control-service/projects/pipelines_control_service/src/main/java/com/vmware/taurus/datajobs/DataJobsDeploymentController.java

Lines 203 to 217 in ff1156a

	private void validateJobResources(DataJobDeployment dataJobDeployment) {
	if (dataJobDeployment != null
	&& dataJobDeployment.getResources() != null
	&& (dataJobDeployment.getResources().getCpuRequest() != null
	|| dataJobDeployment.getResources().getCpuLimit() != null
	|| dataJobDeployment.getResources().getMemoryRequest() != null
	&& dataJobDeployment.getResources().getMemoryLimit() != null)) {
	throw new ValidationException(
	"The setting of job resources like CPU and memory is not allowed.",
	"The setting of job resources like CPU and memory is not supported by the platform.",
	"The deployment of the data job will not proceed.",
	"To deploy the data job, please do not configure job resources.");
	}
	}
	}