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How to Construct Nested OR/AND Queries with the MongoDB Go Driver?

Published on 2025-01-11
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How to Construct Nested OR/AND Queries with the MongoDB Go Driver?

Nested Logical Queries with MongoDB Go Driver

MongoDB queries often require the use of nested logical operators (AND/OR) to filter documents based on multiple criteria. In the Go MongoDB driver, nested logical queries can be constructed using the bson.D and bson.M types.

Constructing Nested OR/AND Queries

To create a nested OR/AND query, you need to use the bson.D type to represent the outer logical operator (e.g., $and) and pass bson.E elements into it. Each bson.E element represents a field-value pair, where the field name can be the logical operator (e.g., $or) and the value can be a bson.D or a bson.A (for arrays).

Example of Nested OR/AND Query

Consider the MongoDB query:

{
  "$and": {
    "p": 10,
    "$or": {
      "s": 30,
      "a": 1
    }
  }
}

To represent this query in Go using the MongoDB driver, you can use the following code:

filter := bson.D{
    {"p", 10},
    {"$or", bson.A{
        bson.D{{"s", 30}},
        bson.D{{"a", 1}},
    }},
}

In this example, the bson.D represents the outer $and operator, and the bson.A represents the nested $or operator. Each bson.D within the $or represents a sub-query.

Using bson.M for Nested Queries

You can also use the bson.M type to represent nested queries. bson.M is a map[string]interface{} that can contain field names and their corresponding values. The value can be another bson.M instance, representing a nested query.

For example, the above query can be represented using bson.M as follows:

filter := bson.M{
    "p": 10,
    "$or": bson.A{
        bson.M{"s": 30},
        bson.M{"a": 1},
    },
}

Recommendations

  • To represent an array within a logical operator, use bson.A (e.g., bson.A{bson.M{"foo": 1}}).
  • $and is the default logical operator, so it's not necessary to explicitly include it in the query.

By following these guidelines, you can efficiently create nested OR/AND queries in Go using the MongoDB driver.

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