


Why does a simple query take more than 2 seconds using the Golang Mongo driver?
I am writing a golang web service with mongo database, I am using go.mongodb.org/mongo-driver v1.11.6 , a simple query takes more than 2 seconds to complete. The database only has a few records, just for testing, no more than 10 records.
I was looking for the part of the code that was wasting my time and I found that the problem was with the mongo package. The find, findone and even insert and update methods all take more than 1 or 2 seconds to complete.
This is the mongo client instantiation
func newmongodb() *mongodb { uri := config.getenvconfig().mongouri database := config.getenvconfig().mongodatabase client, err := mongo.connect(context.todo(), options.client().applyuri(uri)) if err != nil { panic(err) } return &mongodb{ client: client, database: database, } }
This is the function code:
func getmessagebyidfromdb(id string) (*message, error) { conn := database.newmongodb() defer conn.disconnect() filter := map[string]string{ "message_id": id, } var message message start := time.now() err := conn.getcollection(collectionname).findone(context.todo(), filter).decode(&message) elapsed := time.since(start) log.printf("querying messages took %s", elapsed) if err != nil { return nil, err } return &message, nil }
This is the result of function time tracking:
Querying messages took 2.320409472s
This has nothing to do with the internet connection, as I tested the query with python and the request only took 0.003 seconds
I tried changing the version of the package but it didn't work. I also tried reinstalling all packages for the project with the same result.
I also tried creating a search index in the database but didn't get different results. The query also takes more than 2 seconds to complete.
I don't think the query should take more than a few milliseconds to complete.
Correct answer
##mongo.Connect() "only" Initialize by starting the background monitoring goroutine Client
. There may not be a need to connect to a (remote) database.
You can use the You can also try repeating the same query because after the first query the connection is not closed but put into the connection pool and reused when needed again (for the second query).
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