documentation/manual/working/commonGuide/database/AccessingAnSQLDatabase.md
NOTE: JDBC is a blocking operation that will cause threads to wait. You can negatively impact the performance of your Play application by running JDBC queries directly in your controller! Please see the "Configuring a CustomExecutionContext" section.
Play provides a plugin for managing JDBC connection pools. You can configure as many databases as you need.
To enable the database plugin add the build dependencies:
Java : @jdbc-java-dependencies
Scala : @jdbc-scala-dependencies
Play does not provide any database drivers. Consequently, to deploy in production you will have to add your database driver as an application dependency.
For example, if you use MySQL5, you need to add a [[dependency| sbtDependencies]] for the connector:
Then you must configure a connection pool in the conf/application.conf file. By convention, the default JDBC data source must be called default and the corresponding configuration properties are db.default.driver and db.default.url.
# Default database configuration
db.default.driver=org.h2.Driver
db.default.url="jdbc:h2:mem:play"
If something isn't properly configured, you will be notified directly in your browser:
[[images/dbError.png]]
You can also change the default name by setting play.db.default, for example:
play.db.default = "primary"
db.primary.driver=org.h2.Driver
db.primary.url="jdbc:h2:mem:play"
To configure several data sources:
# Orders database
db.orders.driver=org.h2.Driver
db.orders.url="jdbc:h2:mem:orders"
# Customers database
db.customers.driver=org.h2.Driver
db.customers.url="jdbc:h2:mem:customers"
In memory database:
# Default database configuration using H2 database engine in an in-memory mode
db.default.driver=org.h2.Driver
db.default.url="jdbc:h2:mem:play"
File based database:
# Default database configuration using H2 database engine in a persistent mode
db.default.driver=org.h2.Driver
db.default.url="jdbc:h2:/path/to/db-file"
The details of the H2 database URLs are found from H2 Database Engine Cheat Sheet.
# Default database configuration using SQLite database engine
db.default.driver=org.sqlite.JDBC
db.default.url="jdbc:sqlite:/path/to/db-file"
# Default database configuration using PostgreSQL database engine
db.default.driver=org.postgresql.Driver
db.default.url="jdbc:postgresql://database.example.com/playdb"
# Default database configuration using MySQL database engine
# Connect to playdb as playdbuser
db.default.driver=com.mysql.jdbc.Driver
db.default.url="jdbc:mysql://localhost/playdb"
db.default.username=playdbuser
db.default.password="a strong password"
Some libraries expect to retrieve the Datasource reference from JNDI. You can expose any Play managed datasource via JNDI by adding this configuration in conf/application.conf:
db.default.driver=org.h2.Driver
db.default.url="jdbc:h2:mem:play"
db.default.jndiName=DefaultDS
Not all connection pools offer (out of the box) a way to log SQL statements. HikariCP, per instance, suggests that you use the log capacities of your database vendor. From HikariCP docs:
Log Statement Text / Slow Query Logging
Like Statement caching, most major database vendors support statement logging through properties of their own driver. This includes Oracle, MySQL, Derby, MSSQL, and others. Some even support slow query logging. We consider this a "development-time" feature. For those few databases that do not support it, jdbcdslog-exp is a good option. Great stuff during development and pre-Production.
Because of that, Play uses jdbcdslog-exp to enable consistent SQL log statement support for supported pools. The SQL log statement can be configured by database, using logSql property:
# Default database configuration using PostgreSQL database engine
db.default.driver=org.postgresql.Driver
db.default.url="jdbc:postgresql://database.example.com/playdb"
db.default.logSql=true
After that, you can configure the jdbcdslog-exp log level as explained in their manual. Basically, you need to configure your root logger to INFO and then decide what jdbcdslog-exp will log (connections, statements and result sets). Here is an example using logback.xml to configure the logs:
Warning: Keep in mind that this is intended to be used just in development environments and you should not configure it in production, since there is a performance degradation and it will pollute your logs.
Play database packages provides access to the default datasource, primarily through the Database (see docs for Java and Scala) class.
Java : @java-jdbc-database
Scala : @scala-jdbc-database
For a database other than the default:
Java : @java-jdbc-named-database
Scala : @scala-jdbc-named-database
In both cases, when using withConnection, the connection will be automatically closed at the end of the block.
You can retrieve a JDBC connection the same way:
Java : @java-jdbc-connection
Scala : @scala-jdbc-connection
It is important to note that resulting Connections are not automatically disposed at the end of the request cycle. In other words, you are responsible for calling their close() method somewhere in your code so that they can be immediately returned to the pool.
CustomExecutionContextYou should always use a custom execution context when using JDBC, to ensure that Play's rendering thread pool is completely focused on rendering results and using cores to their full extent. You can use Play's CustomExecutionContext (see docs for Java and Scala) class to configure a custom execution context dedicated to serving JDBC operations. See [[JavaAsync]]/[[ScalaAsync]] and [[ThreadPools]] for more details.
All of the Play example templates on Play's download page that use blocking APIs (i.e. Anorm, JPA) have been updated to use custom execution contexts where appropriate. For example:
DatabaseExecutionContext that wraps all the database operations.DatabaseExecutionContext that wraps all the database operations.For thread pool sizing involving JDBC connection pools, you want a fixed thread pool size matching the connection pool, using a thread pool executor. Following the advice in HikariCP's pool sizing page, you should configure your JDBC connection pool to double the number of physical cores, plus the number of disk spindles, i.e. if you have a four core CPU and one disk, you have a total of 9 JDBC connections in the pool:
# db connections = ((physical_core_count * 2) + effective_spindle_count)
fixedConnectionPool = 9
database.dispatcher {
executor = "thread-pool-executor"
throughput = 1
thread-pool-executor {
fixed-pool-size = ${fixedConnectionPool}
}
}
Out of the box, Play uses HikariCP as the default database connection pool implementation. Also, you can use your own pool that implements play.api.db.ConnectionPool by specifying the fully-qualified class name:
play.db.pool=your.own.ConnectionPool
The full range of configuration options for connection pools can be found by inspecting the play.db.prototype property in Play's JDBC reference.conf.
For information on testing with databases, including how to setup in-memory databases and, see :
Read [[Evolutions]] to find out what Play database evolutions are useful for, and follow the instructions for using it.