golang query with different conditions
As Golang is used more and more widely in enterprise-level applications, querying data has also become an important requirement. It is different from the way of querying in other languages. This article will introduce how to use Golang to query with different conditions.
Types of Golang
In Golang, there are different data types available, mainly including:
- string: String type
- int: Integer type
- float: Floating point type
- bool: Boolean type
- struct: Structure type
for different data Type, we can use different query methods.
Single condition query
Single condition query is the simplest query method and the most common one. For example, we need to query students who are 18 years old from a student list.
type Student struct { Name string Age int } var students []Student // 初始化students for _, student := range students { if student.Age == 18 { fmt.Println(student.Name) } }
Just define a structure type Student, and then find students whose age is equal to 18 in the loop.
If we need to retrieve a field of string type, we can use the strings.HasPrefix or strings.HasSuffix function. For example, to query a movie list for movies whose names start with "Harry Potter":
type Movie struct { Name string Year int } var movies []Movie // 初始化movies for _, movie := range movies { if strings.HasPrefix(movie.Name, "Harry Potter") { fmt.Println(movie.Name) } }
Using the strings.HasPrefix function and branch conditional statements (if statements), we can find these movies.
Multi-condition query
Multi-condition query needs to consider multiple different fields to return a result. For example, if we have a list of orders, we need to retrieve orders for a specific date and for a specific customer.
type Order struct { OrderID int CustomerID int Date time.Time } var orders []Order // 初始化orders for _, order := range orders { if order.CustomerID == 123 && order.Date == time.Date(2021, 1, 1, 0, 0, 0, 0, time.Local) { fmt.Println(order.OrderID) } }
In the above example, we used the logical operator && to check whether two conditions are true at the same time.
Range query
In some cases, we need to query data within a range, which requires the use of comparison operators. For example, query a student whose grades are between 80 and 90:
type Score struct { Name string Grade float64 } var scores []Score // 初始化scores for _, score := range scores { if score.Grade >= 80 && score.Grade < 90 { fmt.Println(score.Name) } }
In the above example, we used the >= and < comparison operators because we need to query between 80 and 90 scores, excluding 90.
Fuzzy query
Fuzzy query is a very common query method, usually used to search for data that contains specific characters or strings in the string. For example, query a movie list for movies that contain the string "Avengers":
type Movie struct { Name string Year int } var movies []Movie // 初始化movies for _, movie := range movies { if strings.Contains(movie.Name, "Avengers") { fmt.Println(movie.Name) } }
In the above example, we used the strings.Contains function to check whether the string contains the specified substring.
Other query methods
In addition to the above methods, Golang also provides more query methods, such as using regular expression matching, using map to query data, etc. Depending on different needs and data types, we can choose different query methods.
Conclusion
This article introduces different query methods in Golang, including single-condition query, multi-condition query, range query, fuzzy query, etc. Understanding these query methods can help us use Golang to query and process data more efficiently.
The above is the detailed content of golang query with different conditions. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

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

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics

OpenSSL, as an open source library widely used in secure communications, provides encryption algorithms, keys and certificate management functions. However, there are some known security vulnerabilities in its historical version, some of which are extremely harmful. This article will focus on common vulnerabilities and response measures for OpenSSL in Debian systems. DebianOpenSSL known vulnerabilities: OpenSSL has experienced several serious vulnerabilities, such as: Heart Bleeding Vulnerability (CVE-2014-0160): This vulnerability affects OpenSSL 1.0.1 to 1.0.1f and 1.0.2 to 1.0.2 beta versions. An attacker can use this vulnerability to unauthorized read sensitive information on the server, including encryption keys, etc.

The library used for floating-point number operation in Go language introduces how to ensure the accuracy is...

Queue threading problem in Go crawler Colly explores the problem of using the Colly crawler library in Go language, developers often encounter problems with threads and request queues. �...

Backend learning path: The exploration journey from front-end to back-end As a back-end beginner who transforms from front-end development, you already have the foundation of nodejs,...

The difference between string printing in Go language: The difference in the effect of using Println and string() functions is in Go...

This article introduces a variety of methods and tools to monitor PostgreSQL databases under the Debian system, helping you to fully grasp database performance monitoring. 1. Use PostgreSQL to build-in monitoring view PostgreSQL itself provides multiple views for monitoring database activities: pg_stat_activity: displays database activities in real time, including connections, queries, transactions and other information. pg_stat_replication: Monitors replication status, especially suitable for stream replication clusters. pg_stat_database: Provides database statistics, such as database size, transaction commit/rollback times and other key indicators. 2. Use log analysis tool pgBadg

Under the BeegoORM framework, how to specify the database associated with the model? Many Beego projects require multiple databases to be operated simultaneously. When using Beego...

The problem of using RedisStream to implement message queues in Go language is using Go language and Redis...
