Note: This version supports Play framework 2.4.x with JDK 8.
For previous versions see older releases.
By default, Play framework 2 is delivered with EHCache module implementing CacheApi. Unfortunately, this module suffers from a very inconvenient issue: as the ClassLoaders are evolved on application recompilation during a development, the class versions does not match thus the cache is wiped on every compilation. That might result in repeated logging in, loosing a session or computing an extensive value. All these things very slow down development.
The goal of this module is to enable the redis-server key/value cache storage to be smoothly used within the
Play framework 2. Furthermore, besides the backward compatibility with the CacheApi,
it introduces more evolved API called play.api.cache.redis.CacheApi.
As the cache implementation uses Akka actor system, it is completely non-blocking and asynchronous. Furthermore,
besides the basic methods such as get
, set
and remove
it provides more convenient methods such as expire
,
exists
and invalidate
.
This library delivers a single module with following implementations of the API:
- play.api.cache.redis.CacheApi
- play.api.cache.redis.CacheAsyncApi
- play.api.cache.CacheApi
- play.cache.CacheApi
First, the CacheApi is extended play.api.cache.CacheApi and it implements the connection in the blocking manner.
Second, the CacheAsyncApi enables non-blocking connection providing results through scala.concurrent.Future
.
Third, the synchronous implementation also implements standard CacheApi bundled within Play framework.
This module builds over Brando connector and is intended only for Scala version of the Play framework.
To your SBT build.sbt
add the following lines:
// redis-server cache
libraryDependencies += "com.github.karelcemus" %% "play-redis" % "1.0.0"
// repository with the Brando connector
resolvers += "Brando Repository" at "http://chrisdinn.github.io/releases/"
Now we must enable our redis cache module and disable default Play's EhCache module. Into application.conf
and following
two lines:
# disable default Play framework cache plugin
play.modules.disabled += "play.api.cache.EhCacheModule"
# enable redis cache module
play.modules.enabled += "play.api.cache.redis.RedisCacheModule"
When you have the library added to your project, you can safely inject the play.api.cache.redis.CacheApi
trait
for the synchronous cache. If you want the asynchronous implementation, then inject play.api.cache.redis.CacheAsyncApi
.
There might be some limitations with data types but it should not be anything major. (Note: it uses Akka serialization.
Supported data types are primitives, objects serializable through the java serialization and collections.)
If you encounter any issue, please feel free to report it.
Example:
import scala.concurrent.Future
import scala.concurrent.duration._
import play.api.cache.redis.CacheApi
class MyController @Inject() ( cache: CacheApi ) {
cache.set( "key", "value" )
// returns Option[ T ] where T stands for String in this example
cache.get[ String ]( "key" )
cache.remove( "key" )
cache.set( "object", MyCaseClass() )
// returns Option[ T ] where T stands for MyCaseClass
cache.get[ MyCaseClass ]( "object" )
// returns Future[ Try[ String ] ] where the value string
// should be Success( "OK" ) or Failure( ex )
cache.set( "key", 1.23 )
// returns Option[ Double ]
cache.get[ Double ]( "key" )
// returns Option[ MyCaseClass ]
cache.get[ MyCaseClass ]( "object" )
// returns T where T is Double. If the value is not in the cache
// the computed result is saved
cache.getOrElse( "key" )( 1.24 )
// same as getOrElse but works for Futures. It returns Future[ T ]
cache.getOrFuture( "key" )( Future( 1.24 ) )
// returns Unit and removes a key/keys from the storage
cache.remove( "key" )
cache.remove( "key1", "key2" )
cache.remove( "key1", "key2", "key3" )
// remove all expects a sequence of keys, it performs same be behavior
// as remove methods, they are just syntax sugar
cache.removeAll( "key1", "key2", "key3" )
// invalidates all keys in the redis server! Beware using it
cache.invalidate()
// refreshes expiration of the key if present
cache.expire( "key", 1.second )
// returns true if the key is in the storage, false otherwise
cache.exists( "key" )
// returns all keys matching given pattern. Beware, complexity is O(n).
// It executes KEYS command
cache.matching( "page/1/*" )
// removes all keys matching given pattern. Beware, complexity is O(n).
// It executes KEYS and DEL commands in a transaction
cache.removeMatching( "page/1/*" )
// when we import `play.api.cache.redis._` it enables us
// using both `java.util.Date` and `org.joda.time.DateTime` as expiration
// dates instead of duration. These implicits are useful when
// we know the data regularly changes, e.g., at midnight, at 3 AM, etc.
// We do not have compute the duration ourselves, the library
// can do it for us
import play.api.cache.redis._
cache.set( "key", "value", DateTime.parse( "2015-12-01T00:00" ).asExpiration )
}
There is already default configuration but it can be overwritten in your conf/application.conf
file.
Key | Type | Default | Description |
---|---|---|---|
play.cache.redis.host | String | localhost |
redis-server address |
play.cache.redis.port | Int | 6379 |
redis-server port |
play.cache.redis.database | Int | 1 |
redis-server database, 1-15 |
play.cache.redis.timeout | Duration | 1s |
connection timeout |
play.cache.redis.dispatcher | String | akka.actor.default-dispatcher |
Akka actor |
play.cache.redis.configuration | String | static |
Defines which configuration source enable. Accepted values are static , env , custom |
play.cache.redis.password | String | null |
When authentication is required, this is the password. Value is optional. |
play.cache.redis.connection-string-variable | String | REDIS_URL |
Name of the environment variable with the connection string. This is used in combination with the env configuration. This allows customization of the variable name in PaaS environment. Value is optional. |
In various environments there are various sources of the connection string defining how to connect to Redis instance.
For example, at localhost we are interested in direct definition of host and port in the application.conf
file.
However, this approach does not fit all environments. For example, Heroku supplies REDIS_URL
environment variable
defining the connection string. To resolve this diversity, the library expects an implementation of the Configuration
trait available through DI. By default, it enables static
configuration source, i.e., it reads the settings from the
static configuration file. Another supplied configuration reader is env
, which reads the environment variable such as
REDIS_URL
but the name is configurable. To disable built-in providers you are free to set custom
and supply your
own implementation of the Configuration
trait.
To enable redis cache on Heroku we have to do the following steps:
- add library into application dependencies
- enable
RedisCacheModule
- disable
EhCacheModule
- set
play.cache.redis.configuration: env
- done, we can run it and use any of 3 provided interfaces
However, there are scenarios when we need to customize the configuration to better fit our needs. Usually, we might encounter this when we have a specific development flow or use a specific PaaS. To enable redis cache implementation with customized configuration we have to do the following steps:
- add library into application dependencies
- enable
RedisCacheModule
- disable
EhCacheModule
- set
play.cache.redis.configuration: custom
- Implement
play.api.cache.redis.Configuration
trait - Register the implementation into DI provider. This is specific for each provider. If you are using Guice, which is Play's default DI provider, then look here. It gives you a hint how to register the implementation during application start.
- done, we can run it and use any of 3 provided interfaces
The library does not enable the redis module by default. It is to avoid conflict with Play's default EhCache. The Play discourages disabling modules within the library thus it leaves it up to developers to disable EhCache and enable Redis manually. This also allows you to use EhCache in your dev environment and redis in production. Nevertheless, this module replaces the EHCache and it is not intended to use both implementations along.