Go Redis Transaction
In this tutorial, you'll learn about Go Redis: Transaction (MULTI/EXEC). We cover key concepts, practical examples, and best practices.
Redis transactions -- Use WATCH with TxPipeline for optimistic locking and conditional transactions.
The Problem
Redis transactions use MULTI/EXEC but do not support rollback. Use WATCH to implement optimistic locking. Use TxPipeline for simpler atomic operations.
Wrong
// Race condition:
val := rdb.Get(ctx, "key").Val()
rdb.Set(ctx, "key", val+1) // Another client may have changed it!
Output:
// Lost update! Race condition.
Right
err := rdb.Watch(ctx, func(tx *redis.Tx) error {
val, err := tx.Get(ctx, "key").Int()
if err != nil { return err }
_, err = tx.TxPipelined(ctx, func(pipe redis.Pipeliner) error {
pipe.Set(ctx, "key", val+1, 0)
return nil
})
return err
}, "key")
Output:
// Atomic increment. WATCH retries on conflict.
Prevention
- Use Watch for optimistic locking
- Use TxPipelined inside Watch
- Watch retries the function on conflict
- Unwatch keys when done
- Watch works on individual keys or key patterns
Common Mistakes with redis transaction
- Using
headandtailinstead of pattern matching, causing runtime errors on empty lists - Forgetting that lazy evaluation defers computation until the value is forced, causing space leaks with unevaluated thunks
- Using
returnto exit a function early instead of wrapping a pure value in the monad
These mistakes appear frequently in real-world GO code. DodaTech's contributors have identified these patterns through analysis of open-source projects and production systems.
Practice Exercise
Write a pure function that safely divides two integers using Maybe, then test it with edge cases like division by zero and negative numbers.
This exercise reinforces the concepts covered in this guide. Try implementing it before checking online solutions.
FAQ
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