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How do I work with nested structs in the Google App Engine (GAE) Datastore using Go?

Linda Hamilton
Linda HamiltonOriginal
2024-10-27 02:20:03260browse

How do I work with nested structs in the Google App Engine (GAE) Datastore using Go?

Nested Structs in GAE Datastore with Go

Question:

How can I use nested structs with the Google App Engine (GAE) datastore when working with Go?

Answer:

The Datastore API in Go does not directly support nested structs. However, a solution is to utilize the PropertyLoadSaver interface provided by the API.

Implementation:

  1. Define your data structures as you wish, including the nested structs.
  2. Implement the Load and Save methods of the PropertyLoadSaver interface for your main struct. These methods will be responsible for serializing and unserializing the nested structs.
  3. Use the AddPropertyLoadSaver method on the Key object to register the PropertyLoadSaver implementation for your main struct.

Example:

<code class="go">type Post struct {
    Field1 string
    Field2 string
    User   User
}

type User struct {
    UserField1 string
    UserField2 string
}

func (p Post) Load(ps []Property) error {
    for _, prop := range ps {
        switch prop.Name {
        case "Field1":
            p.Field1 = prop.Value.(string)
        case "Field2":
            p.Field2 = prop.Value.(string)
        case "User":
            if err := prop.Load(&p.User); err != nil {
                return err
            }
        }
    }

    return nil
}

func (p Post) Save() ([]Property, error) {
    props := []Property{
        {Name: "Field1", Value: p.Field1},
        {Name: "Field2", Value: p.Field2},
    }

    pLoad, err := appengine.Datastore().SaveStruct(p.User)
    if err != nil {
        return nil, err
    }

    props = append(props, pLoad...)

    return props, nil
}

// Usage
key := datastore.NewKey("Post", "someID", nil)

_, err := datastore.Put(ctx, key, &post)</code>

This implementation allows you to store and retrieve nested structs in a structured way, while still benefiting from Datastore's filtering and query capabilities.

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