gondolier alternatives and similar packages
Based on the "Database" category.
Alternatively, view gondolier alternatives based on common mentions on social networks and blogs.
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tidb
TiDB is an open-source, cloud-native, distributed, MySQL-Compatible database for elastic scale and real-time analytics. Try AI-powered Chat2Query free at : https://tidbcloud.com/free-trial -
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cockroach
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influxdb
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Milvus
Vector database for scalable similarity search and AI applications. -
vitess
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TinyGo
Go compiler for small places. Microcontrollers, WebAssembly (WASM/WASI), and command-line tools. Based on LLVM. -
groupcache
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VictoriaMetrics
VictoriaMetrics: fast, cost-effective monitoring solution and time series database -
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 and Key-Value, tamperproof, data change history -
go-mysql-elasticsearch
Sync MySQL data into elasticsearch -
rosedb
🚀 A high performance NoSQL database based on bitcask, supports string, list, hash, set, and sorted set. -
pREST
PostgreSQL ➕ REST, low-code, simplify and accelerate development, ⚡ instant, realtime, high-performance on any Postgres application, existing or new -
buntdb
BuntDB is an embeddable, in-memory key/value database for Go with custom indexing and geospatial support -
xo
Command line tool to generate idiomatic Go code for SQL databases supporting PostgreSQL, MySQL, SQLite, Oracle, and Microsoft SQL Server -
tiedot
A rudimentary implementation of a basic document (NoSQL) database in Go -
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. -
cache2go
Concurrency-safe Go caching library with expiration capabilities and access counters -
GCache
An in-memory cache library for golang. It supports multiple eviction policies: LRU, LFU, ARC -
gocraft/dbr (database records)
Additions to Go's database/sql for super fast performance and convenience. -
fastcache
Fast thread-safe inmemory cache for big number of entries in Go. Minimizes GC overhead -
CovenantSQL
A decentralized, trusted, high performance, SQL database with blockchain features
Build time-series-based applications quickly and at scale.
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README
Gondolier
Description
Gondolier is a library to auto migrate database schemas in Go (golang) using structs. Quick demo:
type Customer struct {
Id uint64 `gondolier:"type:bigint;id"`
Name string `gondolier:"type:varchar(255);notnull"`
Age int `gondolier:"type:integer;notnull"`
}
type Order struct {
Id uint64 `gondolier:"type:bigint;id"`
Buyer uint64 `gondolier:"type:bigint;fk:customer.id;notnull"`
}
type OrderPosition struct {
Id uint64 `gondolier:"type:bigint;id"`
Order uint64 `gondolier:"type:bigint;fk:order.id;notnull"`
Quantity int `gondolier:"type:integer;notnull"`
Cost int `gondolier:"type:integer;notnull"`
}
type Obsolete struct{}
func main() {
// connect to database
db, _ := sql.Open("postgres", dbString())
defer db.Close()
// migrate your schema
gondolier.Use(db, &gondolier.Postgres{Schema: "public",
DropColumns: true,
Log: true})
gondolier.Model(Customer{}, Order{}, OrderPosition{})
gondolier.Drop(Obsolete{})
gondolier.Migrate()
}
Features
- create and update your database schema just from your data model defined in Go
- drop columns when they're no longer needed (removed in struct)
- drop tables by passing a struct (which can be empty)
Supported databases
- Postgres
Limits
- no multi primary key support yet
- there is no way Gondolier can check if the data model is valid, so it might fail to execute the migration (with a panic)
Installation
To install Gondolier, go get all dependencies and Gondolier:
go get github.com/lib/pq # for Postgres
go get github.com/emvi/gondolier
Usage
Gondolier consists only out of a few methods. First, you set up Gondolier by passing the database connection and the migrator to Use:
gondolier.Use(dbconn, migrator)
The migrator is an interface which is used by Gondolier to migrate the data model. Example:
gondolier.Postgres{Schema: "public", DropColums: true, Log: true}
This will configure the Postgres migrator to use the schema "public", drop columns when the field is missing in the data model and output executed SQL statements to log (using the standard log library).
Now you can define a naming schema used to name tables and columns:
gondolier.Naming(&gondolier.SnakeCase{})
You can define your own naming schema by implementing the NameSchema interface. Currently SnakeCase is the default. You don't need to call Naming to set it.
Now call Model and pass the models which define your database schema:
gondolier.Model(MyModel{}, &AnotherModel{})
Model accepts objects and pointers. The models must define a decorator with meta information. For more details take a look at the Postgres Migrator or the example implementation. Here is a short example:
type MyModel struct {
Id uint64 `gondolier:"type:bigint;id"` // id is a shortcut
SomeAttr string `gondolier:"type:text;notnull"`
}
type AnotherModel struct {
Id uint64 `gondolier:"type:bigint;pk;seq:1,1,-,-,1;default:nextval(seq);notnull"` // long version for "id"
UniqueAttr int `gondolier:"type:integer;notnull;unique;default:42"`
AnArray []string `gondolier:"type:varchar(100)[]"`
ForeignKey uint64 `gondolier:"type:bigint;fk:MyModel.Id;notnull"`
}
Afterwards, call Migrate to start the migration:
gondolier.Migrate()
To drop a table that is no longer needed, call Drop. You can remove all attributes from the struct, only the name must match the old struct:
type DropMe struct {}
gondolier.Drop(DropMe{})
Contribute
[See CONTRIBUTING.md](CONTRIBUTING.md)
License
MIT
*Note that all licence references and agreements mentioned in the gondolier README section above
are relevant to that project's source code only.