Table of Contents
Comparing floating-point field accuracy problems and solutions using where query in Laravel
Home Backend Development PHP Tutorial What is the reason why the results are inaccurate when comparing float fields using where query in Laravel? How to solve this problem?

What is the reason why the results are inaccurate when comparing float fields using where query in Laravel? How to solve this problem?

Apr 01, 2025 am 11:21 AM
laravel

What is the reason why the results are inaccurate when comparing float fields using where query in Laravel? How to solve this problem?

Comparing floating-point field accuracy problems and solutions using where query in Laravel

When comparing floating point fields using the where clause in Laravel, you sometimes encounter inaccurate results. For example, ->where('odd', '>', 0.3) expects to filter records with odd fields greater than 0.3, but the actual result may contain records with less than 0.3. But using ->whereRaw('odd > 0.3') can get the correct result. This is because there is a precision loss in comparison of floating point numbers inside the where method.

The fundamental reason lies in the accuracy limitations caused by the storage method of floating-point numbers. The where method compares 0.3 as a floating point number, while the floating point representation of the odd field in the database may be slightly different from the memory representation of 0.3 , resulting in inaccurate comparison results. The whereRaw method directly passes the SQL query statement to the database, avoiding Laravel's data type conversion and precision loss.

To avoid this problem and to avoid using whereRaw (as it may pose a risk of SQL injection), the following solutions are recommended:

1. Use string comparison:

Convert floating-point values ​​to strings for comparison. You can bypass Laravel's floating-point conversion and directly compare strings to avoid accuracy loss:

 ->where('odd', '>', (string) 0.3)
Copy after login

2. Use whereBetween and set the accuracy range:

Due to floating point accuracy limitations, a small accuracy range can be set for comparison:

 ->whereBetween('odd', [0.3, 0.30001]) // Adjust the range according to actual accuracy requirements
Copy after login

This filters out records with odd values ​​between 0.3 and 0.30001, effectively solving the accuracy problem. The accuracy range needs to be adjusted according to the actual application scenario.

3. Use database functions for comparison (for example: ROUND ):

If the database supports it, you can use the database's ROUND function to round the floating point numbers and then compare them to reduce the accuracy error:

 ->where(DB::raw('ROUND(odd, 2)'), '>', 0.3) // Keep two decimal places
Copy after login

Which method to choose depends on your specific needs and database system. The string comparison method is simple and direct, but the readability may be slightly worse; the whereBetween method is clearer, but the accuracy range needs to be adjusted carefully; the database function method is more flexible, but it requires understanding of the function support of the database. It is recommended to prioritize the use of string comparison or whereBetween methods to improve the readability and security of the code.

The above is the detailed content of What is the reason why the results are inaccurate when comparing float fields using where query in Laravel? How to solve this problem?. 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)

How to get the return code when email sending fails in Laravel? How to get the return code when email sending fails in Laravel? Apr 01, 2025 pm 02:45 PM

Method for obtaining the return code when Laravel email sending fails. When using Laravel to develop applications, you often encounter situations where you need to send verification codes. And in reality...

Laravel schedule task is not executed: What should I do if the task is not running after schedule: run command? Laravel schedule task is not executed: What should I do if the task is not running after schedule: run command? Mar 31, 2025 pm 11:24 PM

Laravel schedule task run unresponsive troubleshooting When using Laravel's schedule task scheduling, many developers will encounter this problem: schedule:run...

In Laravel, how to deal with the situation where verification codes are failed to be sent by email? In Laravel, how to deal with the situation where verification codes are failed to be sent by email? Mar 31, 2025 pm 11:48 PM

The method of handling Laravel's email failure to send verification code is to use Laravel...

How to implement the custom table function of clicking to add data in dcat admin? How to implement the custom table function of clicking to add data in dcat admin? Apr 01, 2025 am 07:09 AM

How to implement the table function of custom click to add data in dcatadmin (laravel-admin) When using dcat...

Laravel Redis connection sharing: Why does the select method affect other connections? Laravel Redis connection sharing: Why does the select method affect other connections? Apr 01, 2025 am 07:45 AM

The impact of sharing of Redis connections in Laravel framework and select methods When using Laravel framework and Redis, developers may encounter a problem: through configuration...

Laravel multi-tenant extension stancl/tenancy: How to customize the host address of a tenant database connection? Laravel multi-tenant extension stancl/tenancy: How to customize the host address of a tenant database connection? Apr 01, 2025 am 09:09 AM

Custom tenant database connection in Laravel multi-tenant extension package stancl/tenancy When building multi-tenant applications using Laravel multi-tenant extension package stancl/tenancy,...

Laravel Eloquent ORM in Bangla partial model search) Laravel Eloquent ORM in Bangla partial model search) Apr 08, 2025 pm 02:06 PM

LaravelEloquent Model Retrieval: Easily obtaining database data EloquentORM provides a concise and easy-to-understand way to operate the database. This article will introduce various Eloquent model search techniques in detail to help you obtain data from the database efficiently. 1. Get all records. Use the all() method to get all records in the database table: useApp\Models\Post;$posts=Post::all(); This will return a collection. You can access data using foreach loop or other collection methods: foreach($postsas$post){echo$post->

Laravel's geospatial: Optimization of interactive maps and large amounts of data Laravel's geospatial: Optimization of interactive maps and large amounts of data Apr 08, 2025 pm 12:24 PM

Efficiently process 7 million records and create interactive maps with geospatial technology. This article explores how to efficiently process over 7 million records using Laravel and MySQL and convert them into interactive map visualizations. Initial challenge project requirements: Extract valuable insights using 7 million records in MySQL database. Many people first consider programming languages, but ignore the database itself: Can it meet the needs? Is data migration or structural adjustment required? Can MySQL withstand such a large data load? Preliminary analysis: Key filters and properties need to be identified. After analysis, it was found that only a few attributes were related to the solution. We verified the feasibility of the filter and set some restrictions to optimize the search. Map search based on city

See all articles