Masterminds/squirrel
Masterminds/squirrel has 7,983 GitHub stars and 513 forks. GitHot measured 0 stars in 24 hours and -2 in 7 days. Last checked 2026-11-10 03:39 UTC. Last push 2024-04-24.
Comment ces chiffres sont mesurés
Fluent SQL generation for golang
Progression mesurée des étoiles
- in 24h
- 0
- in 7 days
- -2
- in 15 days
- Mise à jour retardée
- in 1 month
- Mise à jour retardée
Variations nettes sur des périodes qui se chevauchent, pas des totaux quotidiens. Les mesures absentes restent vides. Les étoiles indiquent l’intérêt, pas la qualité.
README.md
OriginalSquirrel is "complete".
Bug fixes will still be merged (slowly). Bug reports are welcome, but I will not necessarily respond to them. If another fork (or substantially similar project) actively improves on what Squirrel does, let me know and I may link to it here.
Squirrel - fluent SQL generator for Go
import "github.com/Masterminds/squirrel"
Squirrel is not an ORM. For an application of Squirrel, check out structable, a table-struct mapper
Squirrel helps you build SQL queries from composable parts:
import sq "github.com/Masterminds/squirrel"
users := sq.Select("*").From("users").Join("emails USING (email_id)")
active := users.Where(sq.Eq{"deleted_at": nil})
sql, args, err := active.ToSql()
sql == "SELECT * FROM users JOIN emails USING (email_id) WHERE deleted_at IS NULL"
sql, args, err := sq.
Insert("users").Columns("name", "age").
Values("moe", 13).Values("larry", sq.Expr("? + 5", 12)).
ToSql()
sql == "INSERT INTO users (name,age) VALUES (?,?),(?,? + 5)"
Squirrel can also execute queries directly:
stooges := users.Where(sq.Eq{"username": []string{"moe", "larry", "curly", "shemp"}})
three_stooges := stooges.Limit(3)
rows, err := three_stooges.RunWith(db).Query()
// Behaves like:
rows, err := db.Query("SELECT * FROM users WHERE username IN (?,?,?,?) LIMIT 3",
"moe", "larry", "curly", "shemp")
Squirrel makes conditional query building a breeze:
if len(q) > 0 {
users = users.Where("name LIKE ?", fmt.Sprint("%", q, "%"))
}
Squirrel wants to make your life easier:
// StmtCache caches Prepared Stmts for you
dbCache := sq.NewStmtCache(db)
// StatementBuilder keeps your syntax neat
mydb := sq.StatementBuilder.RunWith(dbCache)
select_users := mydb.Select("*").From("users")
Squirrel loves PostgreSQL:
psql := sq.StatementBuilder.PlaceholderFormat(sq.Dollar)
// You use question marks for placeholders...
sql, _, _ := psql.Select("*").From("elephants").Where("name IN (?,?)", "Dumbo", "Verna").ToSql()
/// ...squirrel replaces them using PlaceholderFormat.
sql == "SELECT * FROM elephants WHERE name IN ($1,$2)"
/// You can retrieve id ...
query := sq.Insert("nodes").
Columns("uuid", "type", "data").
Values(node.Uuid, node.Type, node.Data).
Suffix("RETURNING \"id\"").
RunWith(m.db).
PlaceholderFormat(sq.Dollar)
query.QueryRow().Scan(&node.id)
You can escape question marks by inserting two question marks:
SELECT * FROM nodes WHERE meta->'format' ??| array[?,?]
will generate with the Dollar Placeholder:
SELECT * FROM nodes WHERE meta->'format' ?| array[$1,$2]
FAQ
How can I build an IN query on composite keys / tuples, e.g.
WHERE (col1, col2) IN ((1,2),(3,4))? (#104)Squirrel does not explicitly support tuples, but you can get the same effect with e.g.:
sq.Or{ sq.Eq{"col1": 1, "col2": 2}, sq.Eq{"col1": 3, "col2": 4}}WHERE (col1 = 1 AND col2 = 2) OR (col1 = 3 AND col2 = 4)(which should produce the same query plan as the tuple version)
Why doesn't
Eq{"mynumber": []uint8{1,2,3}}turn into anINquery? (#114)Values of type
[]byteare handled specially bydatabase/sql. In Go,byteis just an alias ofuint8, so there is no way to distinguish[]uint8from[]byte.Some features are poorly documented!
This isn't a frequent complaints section!
Some features are poorly documented?
Yes. The tests should be considered a part of the documentation; take a look at those for ideas on how to express more complex queries.
License
Squirrel is released under the MIT License.
Explorer des projets similaires
Asabeneh/30-Days-Of-Python
Le défi de programmation 30 Days of Python est un guide pas à pas pour apprendre le langage de programmation Python en 30 jours. Ce défi peut prendre plus de 100 jours. Avancez à votre rythme. Ces vidéos peuvent aussi vous aider : https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
78,486 étoilesgrafana/grafana
Plateforme ouverte et composable d’observabilité et de visualisation de données. Visualise les métriques, les journaux et les traces issus de plusieurs sources, comme Prometheus, Loki, Elasticsearch, InfluxDB, Postgres et bien d’autres.
77,790 étoilesredis/redis
Pour les développeurs qui créent des applications en temps réel pilotées par les données, Redis est le cache, le serveur de structures de données et le moteur de requêtes documentaires et vectorielles préféré, le plus rapide et le plus riche en fonctionnalités.
77,332 étoilesapache/superset
Apache Superset est une plateforme de visualisation et d'exploration de données.
75,455 étoiles