Thiht/transactor
Thiht/transactor has 181 GitHub stars and 7 forks. GitHot measured 0 stars in 24 hours. Last checked 2026-11-09 00:28 UTC. Last push 2026-11-03.
Transactor is an injectable type making DB transactions seamless.
Measured star growth
- in 24h
- 0
- in 7 days
- Update delayed
- in 15 days
- Update delayed
- in 1 month
- Update delayed
Net star changes over overlapping periods, not daily totals. Missing measurements are left blank. Stars measure attention, not software quality.
README.md
Originaltransactor
The transactor pattern is a way to manage transactions seamlessly. You can inject your transactor in your services to make transactions completely transparently.
It relies mostly on the Transactor interface:
type Transactor interface {
WithinTransaction(context.Context, func(context.Context) error) error
IsWithinTransaction(context.Context) bool
}
WithinTransaction starts a new transaction and adds it to the context. Any repository method can then retrieve a transaction from the context or fallback to the initial DB handler. The transaction is committed if the provided function doesn't return an error. It's rollbacked otherwise.
Usage
Installation
go get github.com/Thiht/transactor
The database/sql default implementation (stdlib) is included in the github.com/Thiht/transactor package.
Additional implementations are available in separate modules:
- the
pgximplementation is available ingithub.com/Thiht/transactor/pgx, - the
sqlximplementation is available ingithub.com/Thiht/transactor/sqlx.
The following examples use the stdlib implementation, but the code isn't too different with the other implementations.
Initialize a transactor
This example uses database/sql with the pgx driver, but any database/sql driver can be used.
import stdlibTransactor "github.com/Thiht/transactor/stdlib"
db, _ := sql.Open("pgx", dsn)
transactor, dbGetter := stdlibTransactor.NewTransactor(
db,
stdlibTransactor.NestedTransactionsSavepoints,
)
The currently available strategies for nested transactions with the stdlib implementation are:
- NestedTransactionsSavepoints, an implementation using
SAVEPOINTSand compatible with PostgreSQL, MySQL, MariaDB, and SQLite, - NestedTransactionsOracle, an implementation using Oracle savepoints,
- NestedTransactionsMSSQL, an implementation using Microsoft SQL Server savepoints,
- NestedTransactionsNone, an implementation that prevents using nested transactions.
Use the dbGetter in your repositories
Instead of injecting the *sql.DB handler directly to your repositories, you now have to inject the dbGetter. It will return the appropriate DB handler depending on whether the current execution is in a transaction.
type store struct {
- db *sql.DB
+ dbGetter stdlibTransactor.DBGetter
+ transactor transactor.Transactor
}
func (s store) GetBalance(ctx context.Context, account string) (int, error) {
var balance int
- err := s.db.QueryRowContext(
+ err := s.dbGetter(ctx).QueryRowContext(
ctx,
`SELECT balance FROM accounts WHERE account = $1`,
account,
).Scan(&balance)
return balance, err
}
You can use IsWithinTransaction if you need to implement different behaviours depending on whether a transaction is running.
For example with PostgreSQL, you could add FOR UPDATE conditionally:
func (s store) GetBalance(ctx context.Context, account string) (int, error) {
query := `SELECT balance FROM accounts WHERE account = $1`
if s.transactor.IsWithinTransaction(ctx) {
query += ` FOR UPDATE`
}
// ...
}
IsWithinTransaction is available on each transactor instance (and on the Transactor interface). It returns true only for transactions started by that specific instance, which makes it safe to use when multiple transactor instances are involved (e.g. several databases).
[!WARNING] The package-level
IsWithinTransactionhelper is deprecated: it cannot distinguish between multiple transactor instances and may return incorrect results.
Use the transactor in your services
type service struct {
balanceStore stores.Balance
transactor transactor.Transactor
}
func (s service) IncreaseBalance(ctx context.Context, account string, amount int) error {
return s.transactor.WithinTransaction(ctx, func(ctx context.Context) error {
balance, err := s.balanceStore.GetBalance(ctx, account)
if err != nil {
return err
}
balance += amount
err = s.balanceStore.SetBalance(ctx, account, balance)
if err != nil {
return err
}
return nil
})
}
Thanks to nested transactions support, you can even call your services within a transaction:
type service struct {
balanceStore stores.Balance
transactor transactor.Transactor
}
func (s service) TransferBalance(
ctx context.Context,
fromAccount, toAccount string,
amount int,
) error {
return s.transactor.WithinTransaction(ctx, func(ctx context.Context) error {
err := s.DecreaseBalance(ctx, fromAccount, amount)
if err != nil {
return err
}
err = s.IncreaseBalance(ctx, toAccount, amount)
if err != nil {
return err
}
return nil
})
}
func (s service) IncreaseBalance(ctx context.Context, account string, amount int) error {
return s.transactor.WithinTransaction(ctx, func(ctx context.Context) error {
// ...
})
}
func (s service) DecreaseBalance(ctx context.Context, account string, amount int) error {
return s.transactor.WithinTransaction(ctx, func(ctx context.Context) error {
// ...
})
}
[!WARNING] Transactions are not thread safe, so make sure not to call code making concurrent database access inside
WithinTransaction
Testing
In your tests, you can inject a fake transactor and dbGetter, using NewFakeTransactor:
transactor, dbGetter := stdlibTransactor.NewFakeTransactor(db)
The fake transactor will simply execute its callback function, and the dbGetter will return the provided db handler.
This strategy works because when using this library, you don't have to worry about how transactions are made, just about returning errors appropriately in WithinTransaction.
Explore related projects
Asabeneh/30-Days-Of-Python
The 30 Days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than 100 days. Follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
78,423 starsgrafana/grafana
The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.
77,790 starsredis/redis
For developers, who are building real-time data-driven applications, Redis is the preferred, fastest, and most feature-rich cache, data structure server, and document and vector query engine.
77,309 starsapache/superset
Apache Superset is a Data Visualization and Data Exploration Platform
75,455 stars