Table of Contents
Go Redis Stream Message Queue: Cleverly Solve Data Type Conversion Problem
Problem description
Root Cause Analysis and Solutions
Home Backend Development Golang How to solve the problem of data type conversion when using Redis's Stream to implement message queues in Go language?

How to solve the problem of data type conversion when using Redis's Stream to implement message queues in Go language?

Apr 02, 2025 am 09:36 AM
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How to solve the problem of data type conversion when using Redis's Stream to implement message queues in Go language?

Go Redis Stream Message Queue: Cleverly Solve Data Type Conversion Problem

When building message queues using Go and Redis Stream, you often encounter data type conversion problems. This article will explore this issue in depth and provide effective solutions.

Problem description

Suppose you build a message queue system based on Redis Stream. You may encounter the following situations:

  1. Write data: You write data to Redis Stream where user_id field is an integer type ( int ).

     // Example of writing data client.XAdd(ctx, &redis.XAddArgs{
        Stream: "mystream",
        Values: map[string]interface{}{
            "user_id": 123,
            "message": "hello, world!",
        },
    })
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  2. Read data: However, when you read data, the user_id field becomes a string type ( string ).

     // Example of reading data entries, err := client.XRead(ctx, &redis.XReadArgs{
        Streams: []string{"mystream", "0"},
    })
    if err != nil {
        panic(err)
    }
    for _, msg := range entries[0].Messages {
        fmt.Printf("user_id type: %T, value: %v\n", msg.Values["user_id"], msg.Values["user_id"])
    }
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This results in a type mismatch and requires additional processing. Why does this happen? Do we need to manually convert the type every time we read it?

Root Cause Analysis and Solutions

Redis underlying storage data usually exists in string form, even if you write a numeric type. Redis Stream is no exception.

To solve this problem, the following strategies are recommended:

  1. Structure serialization and deserialization: Before writing to Redis, serialize the data structure into a JSON string; deserialize it back to the Go structure when reading.

     // Define the message structure type Message struct {
        UserID int `json:"user_id"`
        Message string `json:"message"`
    }
    
    // Write data msg := Message{UserID: 123, Message: "Hello, World!"}
    data, err := json.Marshal(msg)
    if err != nil {
        panic(err)
    }
    client.XAdd(ctx, &redis.XAddArgs{
        Stream: "mystream",
        Values: map[string]interface{}{
            "data": string(data),
        },
    })
    
    // Read data entries, err := client.XRead(ctx, &redis.XReadArgs{
        Streams: []string{"mystream", "0"},
    })
    if err != nil {
        panic(err)
    }
    for _, msg := range entries[0].Messages {
        var receivedMsg Message
        json.Unmarshal([]byte(msg.Values["data"].(string)), &receivedMsg)
        fmt.Printf("user_id: %d, message: %s\n", receivedMsg.UserID, receivedMsg.Message)
    }
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    By serializing and deserializing, ensure that the data types are consistent between Redis and Go programs, avoiding the hassle of type conversion.

Using this method can effectively avoid data type conversion problems and improve the readability and maintainability of the code. Remember to always handle potential errors such as JSON codec errors.

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