testbed/

directory
v1.19.1 Latest Latest
Warning

This package is not in the latest version of its module.

Go to latest
Published: Jan 27, 2021 License: Apache-2.0

README

OpenTelemetry Collector Testbed

Testbed is a controlled environment and tools for conducting end-to-end tests for the Otel Collector, including reproducible short-term benchmarks, correctness tests, long-running stability tests and maximum load stress tests.

Usage

For each type of tests that should have a summary report create a new directory and then a test suite function which utilizes *testing.M. This function should delegate all functionality to testbed.DoTestMain supplying a global instance of testbed.TestResultsSummary to it.

Each test case within the suite should create a testbed.TestCase and supply implementations of each of the various interfaces the NewTestCase function takes as parameters.

DataFlow

testbed.TestCase uses LoadGenerator and MockBackend to further encapsulate pluggable components. LoadGenerator further encapsulates DataProvider and DataSender in order to generate and send data. MockBackend further encapsulate DataReceiver and provide consume functionality.

For instance, if using the existing end-to-end test, the general dataflow can be (Note that MockBackend does not really have a consumer instance, only to make it intuitive, this diagram draws it a separate module):

e2e diagram

Pluggable Test Components

  • DataProvider - Generates test data to send to receiver under test.
    • PerfTestDataProvider - Implementation of the DataProvider for use in performance tests. Tracing IDs are based on the incremented batch and data items counters.
    • GoldenDataProvider - Implementation of DataProvider for use in correctness tests. Provides data from the "Golden" dataset generated using pairwise combinatorial testing techniques.
  • DataSender - Sends data to the collector instance under test.
    • JaegerGRPCDataSender - Implementation of DataSender which sends to jaeger receiver.
    • OCTraceDataSender - Implementation of DataSender which sends to opencensus receiver.
    • OCMetricsDataSender - Implementation of DataSender which sends to opencensus receiver.
    • OTLPTraceDataSender - Implementation of DataSender which sends to otlp receiver.
    • OTLPMetricsDataSender - Implementation of DataSender which sends to otlp receiver.
    • ZipkinDataSender - Implementation of DataSender which sends to zipkin receiver.
  • DataReceiver - Receives data from the collector instance under test and stores it for use in test assertions.
    • OCDataReceiver - Implementation of DataReceiver which receives data from opencensus exporter.
    • JaegerDataReceiver - Implementation of DataReceiver which receives data from jaeger exporter.
    • OTLPDataReceiver - Implementation of DataReceiver which receives data from otlp exporter.
    • ZipkinDataReceiver - Implementation of DataReceiver which receives data from zipkin exporter.
  • OtelcolRunner - Configures, starts and stops one or more instances of otelcol which will be the subject of testing being executed.
    • ChildProcess - Implementation of OtelcolRunner runs a single otelcol as a child process on the same machine as the test executor.
    • InProcessCollector - Implementation of OtelcolRunner runs a single otelcol as a go routine within the same process as the test executor.
  • TestCaseValidator - Validates and reports on test results.
    • PerfTestValidator - Implementation of TestCaseValidator for test suites using PerformanceResults for summarizing results.
    • CorrectnessTestValidator - Implementation of TestCaseValidator for test suites using CorrectnessResults for summarizing results.
  • TestResultsSummary - Records itemized test case results plus a summary of one category of testing.
    • PerformanceResults - Implementation of TestResultsSummary with fields suitable for reporting performance test results.
    • CorrectnessResults - Implementation of TestResultsSummary with fields suitable for reporting data translation correctness test results.

Adding New Receiver and/or Exporters to the testbed

Generally, when designing a test for new exporter and receiver components, developers should mainly focus on designing and implementing the components with yellow background in the diagram above as the other components are implemented by the testbed framework:

  • DataSender - This part should provide below interfaces for testing purpose:

    • Start() - Start sender and connect to the configured endpoint. Must be called before sending data.
    • Flush() - Send any accumulated data.
    • GetCollectorPort() - Return the port to which this sender will send data.
    • GenConfigYAMLStr() - Generate a config string to place in receiver part of collector config so that it can receive data from this sender.
    • ProtocolName() - Return protocol name to use in collector config pipeline.
  • DataReceiver - This part should provide below interfaces for testing purpose:

    • Start() - Start receiver.
    • Stop() - Stop receiver.
    • GenConfigYAMLStr() - Generate a config string to place in exporter part of collector config so that it can send data to this receiver.
    • ProtocolName() - Return protocol name to use in collector config pipeline.
  • Testing - This part may vary from what kind of testing developers would like to do. In existing implementation, we can refer to End-to-End testing, Metrics testing, Traces testing and Correctness testing. For instance, if developers would like to design a trace test for a new exporter and receiver:

    • func TestTrace10kSPS(t *testing.T) {
      	tests := []struct {
      		name         string
      		sender       testbed.DataSender
      		receiver     testbed.DataReceiver
      		resourceSpec testbed.ResourceSpec
      	}{
      		{
      			"NewExporterOrReceiver",
      			testbed.NewXXXDataSender(testbed.DefaultHost, testbed.GetAvailablePort(t)),
      			testbed.NewXXXDataReceiver(testbed.GetAvailablePort(t)),
      			testbed.ResourceSpec{
      				ExpectedMaxCPU: XX,
      				ExpectedMaxRAM: XX,
      			},
      		},
      		...
      	}
      
      	processors := map[string]string{
      		"batch": `
        batch:
      `,
      	}
      
      	for _, test := range tests {
      		t.Run(test.name, func(t *testing.T) {
      			Scenario10kItemsPerSecond(
      				t,
      				test.sender,
      				test.receiver,
      				test.resourceSpec,
      				performanceResultsSummary,
      				processors,
      			)
      		})
      	}
      }
      

Run Tests and Get Results

Here providing some examples of how to run and get the results of testing.

  1. Under the collector-contrib repo, by running following command:
  cd /testbed/tests
  TESTBED_CONFIG=local.yaml go test -v

​ Then get the result:

collector-contrib tests result

  1. Under Collector/testbed/ repo, here taking correctness tests as an example, by running:
  cd correctness
  source ~/.bash_profile # remember you should enable your envir var here
  ./runtests.sh 

Then get the result:

collector correctness tests result

Directories

Path Synopsis
metrics
[testbed exporter] -> [otelcol receiver] -> [otelcol exporter] -> [testbed receiver] -> [test harness] the difference being the testHarness, which is connected to [testbed receiver] as its metrics consumer, listening for datapoints.
[testbed exporter] -> [otelcol receiver] -> [otelcol exporter] -> [testbed receiver] -> [test harness] the difference being the testHarness, which is connected to [testbed receiver] as its metrics consumer, listening for datapoints.
Package testbed allows to easily set up a test that requires running the agent and a load generator, measure and define resource consumption expectations for the agent, fail tests automatically when expectations are exceeded.
Package testbed allows to easily set up a test that requires running the agent and a load generator, measure and define resource consumption expectations for the agent, fail tests automatically when expectations are exceeded.

Jump to

Keyboard shortcuts

? : This menu
/ : Search site
f or F : Jump to
y or Y : Canonical URL