sqlx README

The project's README from github.com/jmoiron/sqlx. As one markdown file: README.md.

sqlx

CircleCI Coverage Status Godoc license

sqlx is a library which provides a set of extensions on go's standard database/sql library. The sqlx versions of sql.DB, sql.TX, sql.Stmt, et al. all leave the underlying interfaces untouched, so that their interfaces are a superset on the standard ones. This makes it relatively painless to integrate existing codebases using database/sql with sqlx.

Major additional concepts are:

In addition to the godoc API documentation, there is also some user documentation that explains how to use database/sql along with sqlx.

Recent Changes

1.3.0:

DB.Connx returns an sqlx.Conn, which is an sql.Conn-alike consistent with sqlx's wrapping of other types.

BindDriver allows users to control the bindvars that sqlx will use for drivers, and add new drivers at runtime. This results in a very slight performance hit when resolving the driver into a bind type (~40ns per call), but it allows users to specify what bindtype their driver uses even when sqlx has not been updated to know about it by default.

Backwards Compatibility

Compatibility with the most recent two versions of Go is a requirement for any new changes. Compatibility beyond that is not guaranteed.

Versioning is done with Go modules. Breaking changes (eg. removing deprecated API) will get major version number bumps.

install

go get github.com/jmoiron/sqlx

issues

Row headers can be ambiguous (SELECT 1 AS a, 2 AS a), and the result of Columns() does not fully qualify column names in queries like:

SELECT a.id, a.name, b.id, b.name FROM foos AS a JOIN foos AS b ON a.parent = b.id;

making a struct or map destination ambiguous. Use AS in your queries to give columns distinct names, rows.Scan to scan them manually, or SliceScan to get a slice of results.

usage

Below is an example which shows some common use cases for sqlx. Check sqlx_test.go for more usage.

package main

import (
    "database/sql"
    "fmt"
    "log"
    
    _ "github.com/lib/pq"
    "github.com/jmoiron/sqlx"
)

var schema = `
CREATE TABLE person (
    first_name text,
    last_name text,
    email text
);

CREATE TABLE place (
    country text,
    city text NULL,
    telcode integer
)`

type Person struct {
    FirstName string `db:"first_name"`
    LastName  string `db:"last_name"`
    Email     string
}

type Place struct {
    Country string
    City    sql.NullString
    TelCode int
}

func main() {
    // this Pings the database trying to connect
    // use sqlx.Open() for sql.Open() semantics
    db, err := sqlx.Connect("postgres", "user=foo dbname=bar sslmode=disable")
    if err != nil {
        log.Fatalln(err)
    }

    // exec the schema or fail; multi-statement Exec behavior varies between
    // database drivers;  pq will exec them all, sqlite3 won't, ymmv
    db.MustExec(schema)
    
    tx := db.MustBegin()
    tx.MustExec("INSERT INTO person (first_name, last_name, email) VALUES ($1, $2, $3)", "Jason", "Moiron", "[email protected]")
    tx.MustExec("INSERT INTO person (first_name, last_name, email) VALUES ($1, $2, $3)", "John", "Doe", "[email protected]")
    tx.MustExec("INSERT INTO place (country, city, telcode) VALUES ($1, $2, $3)", "United States", "New York", "1")
    tx.MustExec("INSERT INTO place (country, telcode) VALUES ($1, $2)", "Hong Kong", "852")
    tx.MustExec("INSERT INTO place (country, telcode) VALUES ($1, $2)", "Singapore", "65")
    // Named queries can use structs, so if you have an existing struct (i.e. person := &Person{}) that you have populated, you can pass it in as &person
    tx.NamedExec("INSERT INTO person (first_name, last_name, email) VALUES (:first_name, :last_name, :email)", &Person{"Jane", "Citizen", "[email protected]"})
    tx.Commit()

    // Query the database, storing results in a []Person (wrapped in []interface{})
    people := []Person{}
    db.Select(&people, "SELECT * FROM person ORDER BY first_name ASC")
    jason, john := people[0], people[1]

    fmt.Printf("%#v\n%#v", jason, john)
    // Person{FirstName:"Jason", LastName:"Moiron", Email:"[email protected]"}
    // Person{FirstName:"John", LastName:"Doe", Email:"[email protected]"}

    // You can also get a single result, a la QueryRow
    jason = Person{}
    err = db.Get(&jason, "SELECT * FROM person WHERE first_name=$1", "Jason")
    fmt.Printf("%#v\n", jason)
    // Person{FirstName:"Jason", LastName:"Moiron", Email:"[email protected]"}

    // if you have null fields and use SELECT *, you must use sql.Null* in your struct
    places := []Place{}
    err = db.Select(&places, "SELECT * FROM place ORDER BY telcode ASC")
    if err != nil {
        fmt.Println(err)
        return
    }
    usa, singsing, honkers := places[0], places[1], places[2]
    
    fmt.Printf("%#v\n%#v\n%#v\n", usa, singsing, honkers)
    // Place{Country:"United States", City:sql.NullString{String:"New York", Valid:true}, TelCode:1}
    // Place{Country:"Singapore", City:sql.NullString{String:"", Valid:false}, TelCode:65}
    // Place{Country:"Hong Kong", City:sql.NullString{String:"", Valid:false}, TelCode:852}

    // Loop through rows using only one struct
    place := Place{}
    rows, err := db.Queryx("SELECT * FROM place")
    for rows.Next() {
        err := rows.StructScan(&place)
        if err != nil {
            log.Fatalln(err)
        } 
        fmt.Printf("%#v\n", place)
    }
    // Place{Country:"United States", City:sql.NullString{String:"New York", Valid:true}, TelCode:1}
    // Place{Country:"Hong Kong", City:sql.NullString{String:"", Valid:false}, TelCode:852}
    // Place{Country:"Singapore", City:sql.NullString{String:"", Valid:false}, TelCode:65}

    // Named queries, using `:name` as the bindvar.  Automatic bindvar support
    // which takes into account the dbtype based on the driverName on sqlx.Open/Connect
    _, err = db.NamedExec(`INSERT INTO person (first_name,last_name,email) VALUES (:first,:last,:email)`, 
        map[string]interface{}{
            "first": "Bin",
            "last": "Smuth",
            "email": "[email protected]",
    })

    // Selects Mr. Smith from the database
    rows, err = db.NamedQuery(`SELECT * FROM person WHERE first_name=:fn`, map[string]interface{}{"fn": "Bin"})

    // Named queries can also use structs.  Their bind names follow the same rules
    // as the name -> db mapping, so struct fields are lowercased and the `db` tag
    // is taken into consideration.
    rows, err = db.NamedQuery(`SELECT * FROM person WHERE first_name=:first_name`, jason)
    
    
    // batch insert
    
    // batch insert with structs
    personStructs := []Person{
        {FirstName: "Ardie", LastName: "Savea", Email: "[email protected]"},
        {FirstName: "Sonny Bill", LastName: "Williams", Email: "[email protected]"},
        {FirstName: "Ngani", LastName: "Laumape", Email: "[email protected]"},
    }

    _, err = db.NamedExec(`INSERT INTO person (first_name, last_name, email)
        VALUES (:first_name, :last_name, :email)`, personStructs)

    // batch insert with maps
    personMaps := []map[string]interface{}{
        {"first_name": "Ardie", "last_name": "Savea", "email": "[email protected]"},
        {"first_name": "Sonny Bill", "last_name": "Williams", "email": "[email protected]"},
        {"first_name": "Ngani", "last_name": "Laumape", "email": "[email protected]"},
    }

    _, err = db.NamedExec(`INSERT INTO person (first_name, last_name, email)
        VALUES (:first_name, :last_name, :email)`, personMaps)
}

sqlx (jmoiron/sqlx)

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这是干什么的?sqlx 是一个 Go 库,在标准库 database/sql 的基础上提供了更方便的封装,让你在处理查询和结果行时少写很多重复代码。
它和直接用 database/sql 有什么区别?它是在上面加的薄薄一层,并不是替代品:sqlx.DB、sqlx.TX 和 sqlx.Stmt 保留了标准接口不变,它们的方法是标准接口的超集,所以现有的 database/sql 代码可以毫无障碍地混在一起用。
我怎么把它加到项目里?运行 'go get github.com/jmoiron/sqlx' 即可。版本管理靠 Go modules 完成,把它加进 go.mod 就算配置完了。
它支持哪些数据库?只要数据库有 database/sql 驱动就能用,因为 sqlx 只是对标准类型做了封装。另外 BindDriver 还允许你在运行时注册 sqlx 尚不认识的驱动所使用的占位符(bindvar)语法。
如果查询返回的两列名字相同会怎样?映射就会有歧义,因为 Columns() 不会给出完整的限定列名,结构体或 map 作为目标时可能分不清是哪一列。可以用 AS 给列起不同的名字、手动扫描行,或者用 SliceScan 直接拿到一个切片。
它能做哪些纯 database/sql 做不到的事?它的主打功能:把结果行映射到结构体(包括内嵌结构体),也可以映射到 map 和切片;支持命名参数,包括预处理语句;还有 Get 和 Select,能快速从查询结果直接得到结构体或切片。
用它会有性能损失吗?几乎没有。文档里明确提到的唯一开销是 BindDriver 在运行时解析驱动的绑定类型时每次调用约 40 纳秒,而且 1.3.0 版本还给 sqlx.In 带来了内存分配和性能上的改进。
升级 Go 或者 sqlx 本身会不会把我的代码搞坏?向后兼容是明确的要求:所有改动都必须在最新的两个 Go 版本上继续正常工作,版本管理用 Go modules,而像删除已弃用 API 这类破坏性改动会升一个大版本。
What are similar projects?pgx, postgres, sequelize, mybatis-3, go, Dapper, rqlite, libsql
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