


Golang test container with Azure Devops pipeline: Container killed randomly?
While implementing and running my database integration tests using golang testcontainers works perfectly locally, my tests appear to be in the azure devops pipeline Random doesn't work.
Pipeline log display:
2023/01/09 16:06:02 (...) error: read tcp 127.0.0.1:52546->127.0.0.1:49161: read: connection reset by peer
After adding container logging, improving the wait criteria, removing the use of the db container config file (so I don't have to copy the files into the container) and disabling ryuk, I'm wondering what else needs to be done or if my initialization of the container doesn't work correct.
For each unit test, the test container is started like this:
func setuptestdatabase(ctx context.context) (testcontainers.container, project.repository, error) { containerreq := testcontainers.containerrequest{ skipreaper: true, image: "postgres:11.18-alpine3.17", exposedports: []string{"5432/tcp"}, cmd: []string{"postgres", "-c", "fsync=off"}, env: map[string]string{ "postgres_db": "postgre", "postgres_password": "postgres", "postgres_user": "postgres", "pguser": "postgres", "postgres_extensions": "uuid-ossp", }, } containerreq.waitingfor = wait.forall( wait.forlisteningport("5432/tcp"), wait.forexec([]string{"pg_isready", "-t 10", "-q"}), // postgre docs: https://www.postgresql.org/docs/9.4/app-pg-isready.html ).withdeadline(3 * time.minute) dbcontainer, err := testcontainers.genericcontainer( ctx, testcontainers.genericcontainerrequest{ containerrequest: containerreq, started: true, }) if err != nil { log.fatalf("database container could not be started. error: %s", err) return nil, nil, errors.withstack(err) } err = dbcontainer.startlogproducer(ctx) if err != nil { log.fatalf("logproducer could not be started. error: %s", err) return nil, nil, errors.withstack(err) } defer dbcontainer.stoplogproducer() lc := logconsumer{} dbcontainer.followoutput(&lc) port, err := dbcontainer.mappedport(ctx, "5432") if err != nil { log.fatalf("mapped port could not be retrieved. error: %s", err) return nil, nil, errors.withstack(err) } host, err := dbcontainer.host(ctx) if err != nil { log.fatalf("hostname could not be retrieved. error: %s", err) return nil, nil, errors.withstack(err) } global.config.postgres.host = host global.config.postgres.port = port.port() global.config.postgres.user = "postgres" global.config.postgres.password = "postgres" global.config.postgres.dbname = "postgre" global.config.local = true global.logger = logger.newnull(config.config{ logging: config.logging{ level: "debug", }, }) repository, err := new(ctx) if err != nil { log.fatalf("repository could not be setup. error: %s", err) return nil, nil, errors.withstack(err) } return dbcontainer, repository, nil }
...Create the repository using repository, err := new(ctx)
Finally use migrate to set up a database similar to our production database, and use gorm for database connection and processing, etc.
The basic template for unit testing is:
func Test_pg_Has(t *testing.T) { ctx := context.TODO() dbContainer, repository, err := SetupTestDatabase(ctx) if err != nil { t.Errorf("error running testcontainers, error: %s", err) } t.Cleanup(func() { if err := dbContainer.Terminate(ctx); err != nil { t.Fatalf("failed to terminate container: %s", err) } time.Sleep(10 * time.Second) }) ... TEST_CODE }
For azure pipeline, use the stock azure agent pool, go version is "1.18.0 x64".
Any tips would be greatly appreciated, thank you in advance.
Correct answer
As a less satisfactory solution, I added a 5 second sleep after creating the container but before setting up the database connection.
This may be an Azure DevOps specific issue as we are seeing unit tests failing randomly even when running within a single container.
Accepting this as a response is also a challenge for the community...
The above is the detailed content of Golang test container with Azure Devops pipeline: Container killed randomly?. For more information, please follow other related articles on the PHP Chinese website!

In Go, using mutexes and locks is the key to ensuring thread safety. 1) Use sync.Mutex for mutually exclusive access, 2) Use sync.RWMutex for read and write operations, 3) Use atomic operations for performance optimization. Mastering these tools and their usage skills is essential to writing efficient and reliable concurrent programs.

How to optimize the performance of concurrent Go code? Use Go's built-in tools such as getest, gobench, and pprof for benchmarking and performance analysis. 1) Use the testing package to write benchmarks to evaluate the execution speed of concurrent functions. 2) Use the pprof tool to perform performance analysis and identify bottlenecks in the program. 3) Adjust the garbage collection settings to reduce its impact on performance. 4) Optimize channel operation and limit the number of goroutines to improve efficiency. Through continuous benchmarking and performance analysis, the performance of concurrent Go code can be effectively improved.

The common pitfalls of error handling in concurrent Go programs include: 1. Ensure error propagation, 2. Processing timeout, 3. Aggregation errors, 4. Use context management, 5. Error wrapping, 6. Logging, 7. Testing. These strategies help to effectively handle errors in concurrent environments.

ImplicitinterfaceimplementationinGoembodiesducktypingbyallowingtypestosatisfyinterfaceswithoutexplicitdeclaration.1)Itpromotesflexibilityandmodularitybyfocusingonbehavior.2)Challengesincludeupdatingmethodsignaturesandtrackingimplementations.3)Toolsli

In Go programming, ways to effectively manage errors include: 1) using error values instead of exceptions, 2) using error wrapping techniques, 3) defining custom error types, 4) reusing error values for performance, 5) using panic and recovery with caution, 6) ensuring that error messages are clear and consistent, 7) recording error handling strategies, 8) treating errors as first-class citizens, 9) using error channels to handle asynchronous errors. These practices and patterns help write more robust, maintainable and efficient code.

Implementing concurrency in Go can be achieved by using goroutines and channels. 1) Use goroutines to perform tasks in parallel, such as enjoying music and observing friends at the same time in the example. 2) Securely transfer data between goroutines through channels, such as producer and consumer models. 3) Avoid excessive use of goroutines and deadlocks, and design the system reasonably to optimize concurrent programs.

Gooffersmultipleapproachesforbuildingconcurrentdatastructures,includingmutexes,channels,andatomicoperations.1)Mutexesprovidesimplethreadsafetybutcancauseperformancebottlenecks.2)Channelsofferscalabilitybutmayblockiffullorempty.3)Atomicoperationsareef

Go'serrorhandlingisexplicit,treatingerrorsasreturnedvaluesratherthanexceptions,unlikePythonandJava.1)Go'sapproachensureserrorawarenessbutcanleadtoverbosecode.2)PythonandJavauseexceptionsforcleanercodebutmaymisserrors.3)Go'smethodpromotesrobustnessand


Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

SublimeText3 Chinese version
Chinese version, very easy to use

SublimeText3 Linux new version
SublimeText3 Linux latest version

Dreamweaver Mac version
Visual web development tools

EditPlus Chinese cracked version
Small size, syntax highlighting, does not support code prompt function

MantisBT
Mantis is an easy-to-deploy web-based defect tracking tool designed to aid in product defect tracking. It requires PHP, MySQL and a web server. Check out our demo and hosting services.
