base on general purpose extensions to golang's database/sql # sqlx
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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:
* Marshal rows into structs (with embedded struct support), maps, and slices
* Named parameter support including prepared statements
* `Get` and `Select` to go quickly from query to struct/slice
In addition to the [godoc API documentation](http://godoc.org/github.com/jmoiron/sqlx),
there is also some [user documentation](http://jmoiron.github.io/sqlx/) that
explains how to use `database/sql` along with sqlx.
## Recent Changes
1.3.0:
* `sqlx.DB.Connx(context.Context) *sqlx.Conn`
* `sqlx.BindDriver(driverName, bindType)`
* support for `[]map[string]interface{}` to do "batch" insertions
* allocation & perf improvements for `sqlx.In`
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:
```sql
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](https://github.com/jmoiron/sqlx/blob/master/sqlx_test.go) for more
usage.
```go
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)
}
```
", Assign "at most 3 tags" to the expected json: {"id":"2987","tags":[]} "only from the tags list I provide: [{"id":77,"name":"3d"},{"id":89,"name":"agent"},{"id":17,"name":"ai"},{"id":54,"name":"algorithm"},{"id":24,"name":"api"},{"id":44,"name":"authentication"},{"id":3,"name":"aws"},{"id":27,"name":"backend"},{"id":60,"name":"benchmark"},{"id":72,"name":"best-practices"},{"id":39,"name":"bitcoin"},{"id":37,"name":"blockchain"},{"id":1,"name":"blog"},{"id":45,"name":"bundler"},{"id":58,"name":"cache"},{"id":21,"name":"chat"},{"id":49,"name":"cicd"},{"id":4,"name":"cli"},{"id":64,"name":"cloud-native"},{"id":48,"name":"cms"},{"id":61,"name":"compiler"},{"id":68,"name":"containerization"},{"id":92,"name":"crm"},{"id":34,"name":"data"},{"id":47,"name":"database"},{"id":8,"name":"declarative-gui "},{"id":9,"name":"deploy-tool"},{"id":53,"name":"desktop-app"},{"id":6,"name":"dev-exp-lib"},{"id":59,"name":"dev-tool"},{"id":13,"name":"ecommerce"},{"id":26,"name":"editor"},{"id":66,"name":"emulator"},{"id":62,"name":"filesystem"},{"id":80,"name":"finance"},{"id":15,"name":"firmware"},{"id":73,"name":"for-fun"},{"id":2,"name":"framework"},{"id":11,"name":"frontend"},{"id":22,"name":"game"},{"id":81,"name":"game-engine "},{"id":23,"name":"graphql"},{"id":84,"name":"gui"},{"id":91,"name":"http"},{"id":5,"name":"http-client"},{"id":51,"name":"iac"},{"id":30,"name":"ide"},{"id":78,"name":"iot"},{"id":40,"name":"json"},{"id":83,"name":"julian"},{"id":38,"name":"k8s"},{"id":31,"name":"language"},{"id":10,"name":"learning-resource"},{"id":33,"name":"lib"},{"id":41,"name":"linter"},{"id":28,"name":"lms"},{"id":16,"name":"logging"},{"id":76,"name":"low-code"},{"id":90,"name":"message-queue"},{"id":42,"name":"mobile-app"},{"id":18,"name":"monitoring"},{"id":36,"name":"networking"},{"id":7,"name":"node-version"},{"id":55,"name":"nosql"},{"id":57,"name":"observability"},{"id":46,"name":"orm"},{"id":52,"name":"os"},{"id":14,"name":"parser"},{"id":74,"name":"react"},{"id":82,"name":"real-time"},{"id":56,"name":"robot"},{"id":65,"name":"runtime"},{"id":32,"name":"sdk"},{"id":71,"name":"search"},{"id":63,"name":"secrets"},{"id":25,"name":"security"},{"id":85,"name":"server"},{"id":86,"name":"serverless"},{"id":70,"name":"storage"},{"id":75,"name":"system-design"},{"id":79,"name":"terminal"},{"id":29,"name":"testing"},{"id":12,"name":"ui"},{"id":50,"name":"ux"},{"id":88,"name":"video"},{"id":20,"name":"web-app"},{"id":35,"name":"web-server"},{"id":43,"name":"webassembly"},{"id":69,"name":"workflow"},{"id":87,"name":"yaml"}]" returns me the "expected json"