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Simply pass in the -p flag:. You do not need to specify both -p and -nodes. Setting -nodes to anything greater than 1 implies a parallelized test run.
The number of nodes used with -p is runtime. NumCPU if runtime. The test runner collates output from the running processes into one coherent output. This is done, under the hood, via a client-server model: as each client suite completes a test, the test output and status is sent to the server which then prints to screen. This collates the output of simultaneous test runners to one coherent i. To do this you can set -stream :. When run with the -stream flag the test runner simply pipes the output from each individual node as it runs it prepends each line of output with the node that the output came from.
One way to ensure this would be, for example, to spin up a separate instance of an external resource for each Ginkgo process.
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You could bring up a different database server bound to a different port for each of your parallel processes:. The github. The config. ParallelNode parameter is the index for the current node starts with 1 , goes up to N. Similarly config.
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ParallelTotal is the total number of nodes running in parallel. When possible, you should make every effort to start up a new instance of an external resource for every parallel node. This helps avoid test-pollution by strictly separating each parallel node. Sometimes rarely this is not possible. Perhaps, for reasons beyond your control, you can only start one instance of a service on your machine. The idea here is simple. With SynchronizedBeforeSuite Ginkgo gives you a way to run some preliminary setup code on just one parallel node Node 1 and other setup code on all nodes.
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Ginkgo synchronizes these functions and guarantees that node 1 will complete its preliminary setup before the other nodes run their setup code. Moreover, Ginkgo makes it possible for the preliminary setup code on the first node to pass information on to the setup code on the other nodes. SynchronizedBeforeSuite must be passed two functions. The first must return byte and the second must accept byte.
When running with multiple nodes the first function is only run on node 1. When this function completes, all nodes including node 1 proceed to run the second function and will receive the data returned by the first function. To clean up correctly, you should use SynchronizedAfterSuite. Continuing our example:.
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With SynchronizedAfterSuite the first function is run on all nodes including node 1. The second function is only run on node 1. Moreover, the second function is only run when all other nodes have finished running. This is important, since node 1 is responsible for setting up and tearing down the singleton resources it must wait for the other nodes to end before tearing down the resources they depend on. Finally, all of these function can be passed an additional Done parameter to run asynchronously. When running asynchronously, an optional timeout can be provided as a third parameter to SynchronizedBeforeSuite and SynchronizedAfterSuite.
The same timeout is applied to both functions. Note an important subtelty: The dbRunner variable is only populated on Node 1. No other node should attempt to touch the data in that variable it will be nil on the other nodes.
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The dbClient variable, which is populated in the second SynchronizedBeforeSuite function is, of course, available across all nodes. This test will block until a response is received over the channel c. After X channel to specify a timeout. Ginkgo has this pattern built in. When Ginkgo detects that the done Done argument has been requested it runs the body function as a goroutine, wrapping it with the necessary logic to apply a timeout assertion.
You must either close the done channel, or send something anything to it to tell Ginkgo that your test has ended. The default timeout is 1 second. You can modify this timeout by passing a float64 in seconds after the body function. In this example we set the timeout to 0.
Gomega has additional support for making rich assertions on asynchronous code. Make sure to check out how Eventually works in Gomega. It offers a number of conveniences beyond what go test provides out of the box and is recommended, but not necessary. Note: the -- is important! Only arguments following -- will be passed to your suite.
Of course, ginkgo takes a number of flags. These must be specified before you specify the packages to run. Set -r to have the ginkgo CLI recursively run all test suites under the target directories. Useful for running all the tests across all your packages. When running with -r you can pass -skipPackage a comma-separated list of entries. Set -p to parallelize the test suite across an auto-detected number of nodes.
By default, when parallelizing a suite, the test runner aggregates data from each parallel node and produces coherent output as the tests run. Setting stream to true will, instead, stream output from all parallel nodes in real-time, prepending each log line with the node that emitted it. Test suites that succeed basically get printed out on just one line!
Succinct is turned off, by default, when running tests for one package. It is turned on by default when Ginkgo runs multiple test packages. Also, the GinkgoWriter will flush its output to stdout in realtime. Create report output file in specified path relative or absolute. It will also override a pre-defined path of ginkgo.
Reporter , and parent directories will be created, if not exist. If present, Ginkgo will print out full stack traces for each failure, not just the line number at which the failure occurs. This is useful for debugging stuck tests e. Which were emitted by the It? Combine with --v to emit the --progress output to stdout.
If present, all specs will be permuted. By default Ginkgo will only permute the order of the top level containers. If present and running multiple spec suites, the order in which the specs run will be randomized. Set -race to have the ginkgo CLI run your tests with the race detector on. Set -cover to have the ginkgo CLI run your tests with coverage analysis turned on a Go 1. Like -cover , -coverpkg runs your tests with coverage analysis turned on.
However, -coverpkg allows you to specify the packages to run the analysis on. This allows you to get coverage on packages outside of the current package, which is useful for integration tests. Note that it will not run coverage on the current package by default, you always need to specify all packages you want coverage for. The package name should be fully resolved, eg github. Moves coverage results to a specified directory When combined with -coverprofile will also append them together.
Set -tags to pass in build tags down to the compilation step. When compiling multiple test suites e. NumCPU to determine the number of compile processes to spin up.