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php editor Xigua today will introduce to you the Golang implementation of filtering query mongodb. When using mongodb database for data query, we often need to filter the query results to meet specific conditions. As a powerful programming language, Golang provides a rich mongodb driver library, which can easily implement filtering query functions. Next, we will introduce in detail how to use mongodb to filter queries in Golang to help everyone better apply and understand this function.
I'm trying to get a list of data that matches a specific query but I'm getting this error
"(atlaserror) merchant is not allowed or the syntax is incorrect, see the atlas documentation for more information"
func ... var result []*model.Package ctx, cancel := context.WithTimeout(ctx, 10*time.Second) defer cancel() tokenData, err := middleware.CtxValue(ctx) if err != nil { return nil, err } orQuery := []bson.M{} merchant := "abc" completedQuery := bson.M{"status": "completed"} cancelledQuery := bson.M{"status": "cancelled"} orQuery = append( orQuery, cancelledQuery, completedQuery) limit64 := int64(limit) page64 := int64(page) match := bson.M{"$match": bson.M{"$nor": orQuery}} var filterQuery primitive.M if tokenData.Role == "admin" && merchant != nil { filterQuery = bson.M{"merchant": bson.M{"id": merchant}} } else { filterQuery = bson.M{"user": bson.M{"id": tokenData.Id}} } paginatedData, err1 := paginate.New(r.Collection).Context(ctx).Limit(limit64).Page(page64).Aggregate(match, filterQuery) if err1 != nil { return nil, err1 } ...
filterquery
, seems to contain { "merchant" : { "id" : "abc" } }
, which is passed alone Give .aggregate()
. But the aggregation framework expects to receive something that represents a series of pipeline stages. Each phase is outlined in the documentation and is expected to start with $
characters, e.g. $match
phase.
The current database is trying to handle merchant
as the options
of the pipeline (see here and here). But such option does not exist, hence the error message.
To fix this, you should merge the filterquery
logic into the existing match
variables/stages you are building and passing. Alternatively, you can wrap filterquery
in different $match
and pass them (as a single argument) to .aggregate()
.
This example 文档中的a> shows them building multiple stages and then submitting them together via mongo.pipeline{...}
:
.aggregate()
// create the stages matchStage := bson.D{{"$match", bson.D{{"toppings", "milk foam"}}}} unsetStage := bson.D{{"$unset", bson.A{"_id", "category"}}} sortStage := bson.D{{"$sort", bson.D{ {"price", 1}, {"toppings", 1}}, }} limitStage := bson.D{{"$limit", 2}} // pass the stage into a pipeline // pass the pipeline as the second paramter in the Aggregate() method cursor, err := coll.Aggregate(context.TODO(), mongo.Pipeline{matchStage, unsetStage, sortStage, limitStage})
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