qry alternatives and similar packages
Based on the "Database" category.
Alternatively, view qry alternatives based on common mentions on social networks and blogs.
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Milvus
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search -
cockroach
CockroachDB — the cloud native, distributed SQL database designed for high availability, effortless scale, and control over data placement. -
tidb
TiDB - the open-source, cloud-native, distributed SQL database designed for modern applications. -
TinyGo
Go compiler for small places. Microcontrollers, WebAssembly (WASM/WASI), and command-line tools. Based on LLVM. -
groupcache
groupcache is a caching and cache-filling library, intended as a replacement for memcached in many cases. -
bytebase
World's most advanced database DevSecOps solution for Developer, Security, DBA and Platform Engineering teams. The GitHub/GitLab for database DevSecOps. -
go-cache
An in-memory key:value store/cache (similar to Memcached) library for Go, suitable for single-machine applications. -
immudb
immudb - immutable database based on zero trust, SQL/Key-Value/Document model, tamperproof, data change history -
buntdb
BuntDB is an embeddable, in-memory key/value database for Go with custom indexing and geospatial support -
pREST
PostgreSQL ➕ REST, low-code, simplify and accelerate development, ⚡ instant, realtime, high-performance on any Postgres application, existing or new -
xo
Command line tool to generate idiomatic Go code for SQL databases supporting PostgreSQL, MySQL, SQLite, Oracle, and Microsoft SQL Server -
nutsdb
A simple, fast, embeddable, persistent key/value store written in pure Go. It supports fully serializable transactions and many data structures such as list, set, sorted set. -
lotusdb
Most advanced key-value database written in Go, extremely fast, compatible with LSM tree and B+ tree. -
gocraft/dbr (database records)
Additions to Go's database/sql for super fast performance and convenience.
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README
About
qry is a general purpose library for storing your raw database queries in .sql files with all benefits of modern IDEs, instead of strings and constants in the code, and using them in an easy way inside your application with all the profit of compile time constants.
qry recursively loads all .sql files from a specified folder, parses them according to predefined rules and returns a reusable object, which is actually just a map[string]string
with some sugar. Multiple queries inside a single file are separated with standard SQL comment syntax: -- qry: QueryName
. A QueryName
must match [A-Za-z_]+
.
gen tool is used for automatic generation of constants for all user specified query_names
.
Installation
go get -u github.com/HnH/qry/cmd/qry-gen
Usage
Prepare sql files: queries/one.sql
:
-- qry: InsertUser
INSERT INTO `users` (`name`) VALUES (?);
-- qry: GetUserById
SELECT * FROM `users` WHERE `user_id` = ?;
And the second one queries/two.sql
:
-- qry: DeleteUsersByIds
DELETE FROM `users` WHERE `user_id` IN ({ids});
Generate constants: qry-gen -dir=./queries -pkg=/path/to/your/go/pkg
Will produce /path/to/your/go/pkg/qry.go
with:
package pkg
const (
// one.sql
InsertUser = "INSERT INTO `users` (`name`) VALUES (?);"
GetUserById = "SELECT * FROM `users` WHERE `user_id` = ?;"
// two.sql
DeleteUsersByIds = "DELETE FROM `users` WHERE `user_id` IN ({ids});"
)
As a best practice include this qry-gen call in your source code with go:generate prefix: //go:generate qry-gen -dir=./queries -pkg=/path/to/your/go/pkg
and just execute go generate
before each build.
Now it's time to use qry inside your project:
func main() {
/**
* The most obvious way is to use generated constants in the source code
*/
// INSERT INTO `users` (`name`) VALUES (?);
println(pkg.InsertUser)
// DELETE FROM `users` WHERE `user_id` IN (?,?,?);
println(qry.Query(pkg.DeleteUsersByIds).Replace("{ids}", qry.In(3)))
/**
* As an alternative you can manually parse .sql files in the directory and work with output
*/
if q, err := qry.Dir("/path/to/your/go/pkg/queries"); err != nil {
log.Fatal(err)
}
// SELECT * FROM `users` WHERE `user_id` = ?;
println(q["one.sql"]["GetUserById"])
// DELETE FROM `users` WHERE `user_id` IN (?,?,?);
println(q["two.sql"]["DeleteUsersByIds"].Replace("{ids}", qry.In(3)))
}