Table of Contents
Question content
Solution
Home Backend Development Golang Unmarshalling dynamodb projects returns the same project

Unmarshalling dynamodb projects returns the same project

Feb 08, 2024 pm 11:00 PM

解组 dynamodb 项目返回相同的项目

php editor Zimo will introduce to you today how to solve the problem of ungrouping DynamoDB items and returning the same items. DynamoDB is a high-performance, serverless key-value database, but sometimes it may return the same items when querying them, which can be a tricky problem for developers. Don't worry, we'll provide you with a solution to ensure your query results are unique and correct. In this article, we will explain the cause of the problem in detail and provide a simple and effective way to solve it. Let’s take a look!

Question content

I have a range loop in golang that loops through the mapping of type.attributevalues returned by dynamodb using a scan function.

I'm looping through this map using the built-in function provided by the golang aws-sdk-v2 package attributevalue.unmarshalmap() and what happens is that I get back items that are the same length as the slice.

Code:

type users struct {
    user *string `dynamodbav:"user"` 
    email *string `dynamodbav:"email"` 
    }

    user := users{}
  
   for _ , dbitem := range dynamoresults.items { 
    err = attributevalue.unmarshalmap(dbitem, &user)
   }

// gives the same pointer location for all 
users[0].user 
users[1].user
users[2].user
Copy after login

I also tried appending the user to the slice in the results

// this just gives a slice with the same items as above
 u := []Users{}
for _ , dbItem := range dynamoResults.Items { 
        err = attributevalue.UnmarshalMap(dbItem, &Users)
        u = append(u, Users)
       }
Copy after login

The solution I found using attributevalue.unmarshallistofmaps() is to simply provide the function with a slice of items from dynamodb.

My question is actually to understand why using the above two solutions doesn't work as expected, doesn't it loop through the dynamodb items and pass them individually to the unmarshal function? It seems like just keep doing the same thing.

Solution

If we change the problem slightly - from dynamo db unmarshalling to json unmarshalling - then we can go playground. In the sample code, I see two factors working together to cause duplicate slice values:

  1. The unmarshalling target is defined outside the loop (line 51), so when unmarshalling u1out, the result is written to the same location on each loop iteration (line 54) .

  2. The field of type
  3. user1 is *string, so when the loop variable value is copied to the slice (line 55), user and email The string pointed to will not be copied. Only their pointer values ​​are copied.

Putting these two together, each iteration will write the unmarshaled user and email values ​​to the same memory location. This is demonstrated by the first two lines of output, which print the elements of u1out.

The remaining lines of output show the results in three other cases: when the target variable is moved within the loop (u1in and u2in) or when the field is changed to string(u2out). In each case, new locations for ungrouped values ​​are created as expected, and duplicates are not printed.

package main

import (
    "encoding/json"
    "fmt"
)

type (
    Users1 struct {
        User  *string
        Email *string
    }
    Users2 struct {
        User  string
        Email string
    }
)

func main() {
    dbItems := []string{
        `{"User":"userA","Email":"<a href="https://www.php.cn/link/89fee0513b6668e555959f5dc23238e9" class="__cf_email__" data-cfemail="a7d2d4c2d5e6e7c2dfc6cad7cbc289c4c8ca">[email&#160;protected]</a>"}`,
        `{"User":"userB","Email":"<a href="https://www.php.cn/link/89fee0513b6668e555959f5dc23238e9" class="__cf_email__" data-cfemail="5a2f293f28181a3f223b372a363f74393537">[email&#160;protected]</a>"}`,
    }

    u1Out := withVarDeclaredOutsideLoop[Users1](dbItems)
    printUsers(u1Out)

    u1In := withVarDeclaredInsideLoop[Users1](dbItems)
    printUsers(u1In)

    u2Out := withVarDeclaredOutsideLoop[Users2](dbItems)
    printUsers(u2Out)

    u2In := withVarDeclaredInsideLoop[Users2](dbItems)
    printUsers(u2In)

    // Output
    // u[0] = {User:0xc000014130 Email:0xc000014140}
    // u[1] = {User:0xc000014130 Email:0xc000014140}
    // u[0] = {User:0xc0000141c0 Email:0xc0000141d0}
    // u[1] = {User:0xc000014210 Email:0xc000014220}
    // u[0] = {User:userA Email:<a href="https://www.php.cn/link/89fee0513b6668e555959f5dc23238e9" class="__cf_email__" data-cfemail="86f3f5e3f4c7c6e3fee7ebf6eae3a8e5e9eb">[email&#160;protected]</a>}
    // u[1] = {User:userB Email:<a href="https://www.php.cn/link/89fee0513b6668e555959f5dc23238e9" class="__cf_email__" data-cfemail="07727462754547627f666a776b622964686a">[email&#160;protected]</a>}
    // u[0] = {User:userA Email:<a href="https://www.php.cn/link/89fee0513b6668e555959f5dc23238e9" class="__cf_email__" data-cfemail="98edebfdead9d8fde0f9f5e8f4fdb6fbf7f5">[email&#160;protected]</a>}
    // u[1] = {User:userB Email:<a href="https://www.php.cn/link/89fee0513b6668e555959f5dc23238e9" class="__cf_email__" data-cfemail="fe8b8d9b8cbcbe9b869f938e929bd09d9193">[email&#160;protected]</a>}
}

func withVarDeclaredOutsideLoop[T any](dbItems []string) []T {
    var t T
    u := []T{}
    for _, dbItem := range dbItems {
        json.Unmarshal([]byte(dbItem), &t)
        u = append(u, t)
    }
    return u
}

func withVarDeclaredInsideLoop[T any](dbItems []string) []T {
    u := []T{}
    for _, dbItem := range dbItems {
        var t T
        json.Unmarshal([]byte(dbItem), &t)
        u = append(u, t)
    }
    return u
}

func printUsers[T any](u []T) {
    for i, user := range u {
        fmt.Printf("u[%d] = %+v\n", i, user)
    }
}
Copy after login

The above is the detailed content of Unmarshalling dynamodb projects returns the same project. For more information, please follow other related articles on the PHP Chinese website!

Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Tools

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

Hot Topics

Java Tutorial
1662
14
PHP Tutorial
1261
29
C# Tutorial
1234
24
Golang's Purpose: Building Efficient and Scalable Systems Golang's Purpose: Building Efficient and Scalable Systems Apr 09, 2025 pm 05:17 PM

Go language performs well in building efficient and scalable systems. Its advantages include: 1. High performance: compiled into machine code, fast running speed; 2. Concurrent programming: simplify multitasking through goroutines and channels; 3. Simplicity: concise syntax, reducing learning and maintenance costs; 4. Cross-platform: supports cross-platform compilation, easy deployment.

Golang and C  : Concurrency vs. Raw Speed Golang and C : Concurrency vs. Raw Speed Apr 21, 2025 am 12:16 AM

Golang is better than C in concurrency, while C is better than Golang in raw speed. 1) Golang achieves efficient concurrency through goroutine and channel, which is suitable for handling a large number of concurrent tasks. 2)C Through compiler optimization and standard library, it provides high performance close to hardware, suitable for applications that require extreme optimization.

Golang vs. Python: Key Differences and Similarities Golang vs. Python: Key Differences and Similarities Apr 17, 2025 am 12:15 AM

Golang and Python each have their own advantages: Golang is suitable for high performance and concurrent programming, while Python is suitable for data science and web development. Golang is known for its concurrency model and efficient performance, while Python is known for its concise syntax and rich library ecosystem.

Golang vs. Python: Performance and Scalability Golang vs. Python: Performance and Scalability Apr 19, 2025 am 12:18 AM

Golang is better than Python in terms of performance and scalability. 1) Golang's compilation-type characteristics and efficient concurrency model make it perform well in high concurrency scenarios. 2) Python, as an interpreted language, executes slowly, but can optimize performance through tools such as Cython.

Golang's Impact: Speed, Efficiency, and Simplicity Golang's Impact: Speed, Efficiency, and Simplicity Apr 14, 2025 am 12:11 AM

Goimpactsdevelopmentpositivelythroughspeed,efficiency,andsimplicity.1)Speed:Gocompilesquicklyandrunsefficiently,idealforlargeprojects.2)Efficiency:Itscomprehensivestandardlibraryreducesexternaldependencies,enhancingdevelopmentefficiency.3)Simplicity:

The Performance Race: Golang vs. C The Performance Race: Golang vs. C Apr 16, 2025 am 12:07 AM

Golang and C each have their own advantages in performance competitions: 1) Golang is suitable for high concurrency and rapid development, and 2) C provides higher performance and fine-grained control. The selection should be based on project requirements and team technology stack.

C   and Golang: When Performance is Crucial C and Golang: When Performance is Crucial Apr 13, 2025 am 12:11 AM

C is more suitable for scenarios where direct control of hardware resources and high performance optimization is required, while Golang is more suitable for scenarios where rapid development and high concurrency processing are required. 1.C's advantage lies in its close to hardware characteristics and high optimization capabilities, which are suitable for high-performance needs such as game development. 2.Golang's advantage lies in its concise syntax and natural concurrency support, which is suitable for high concurrency service development.

Golang and C  : The Trade-offs in Performance Golang and C : The Trade-offs in Performance Apr 17, 2025 am 12:18 AM

The performance differences between Golang and C are mainly reflected in memory management, compilation optimization and runtime efficiency. 1) Golang's garbage collection mechanism is convenient but may affect performance, 2) C's manual memory management and compiler optimization are more efficient in recursive computing.

See all articles