Cache

In-memory (LRU) and Redis caching. Use cache connectors to store frequently accessed data, reduce database load, or share state across flows.

Memory Cache

connector "cache" {
  type        = "cache"
  driver      = "memory"
  max_items   = 10000
  eviction    = "lru"
  default_ttl = "5m"
}

Option	Type	Default	Description
max_items	int	10000	Maximum cached items
eviction	string	"lru"	Eviction policy
default_ttl	duration	"5m"	Default time-to-live

Redis Cache

connector "redis_cache" {
  type     = "cache"
  driver   = "redis"
  url      = "redis://localhost:6379"
  prefix   = "myapp:"

  pool {
    max_connections = 100
    min_connections = 10
  }
}

Option	Type	Default	Description
url	string	—	Redis connection URL (redis://host:port)
host	string	"localhost"	Redis host (alternative to url)
port	int	6379	Redis port (used with host)
password	string	—	Redis password
db	int	0	Redis database number
prefix	string	—	Prefix for all keys
default_ttl	duration	—	Default time-to-live for entries
pool.max_connections	int	100	Max pool size
pool.min_connections	int	10	Min pool size

Operations

Operation	Direction	Description
get	read	Read a cached value by key
set	write	Write a value with optional TTL
delete	write	Remove a cached key

Example

flow "get_user_cached" {
  from {
    connector = "api"
    operation = "GET /users/:id"
  }

  cache {
    connector = "redis_cache"
    key       = "'user:' + input.params.id"
    ttl       = "10m"
  }

  to {
    connector = "db"
    target    = "users"
  }
}

See the cache example and redis-cluster example for complete setups.

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Full configuration reference: See Cache in the Configuration Reference.