dataSource:
pooled: true
jmxExport: true
driverClassName: org.h2.Driver
username: sa
password:
environments:
development:
dataSource:
dbCreate: create-drop
url: jdbc:h2:mem:devDb;MVCC=TRUE;LOCK_TIMEOUT=10000;DB_CLOSE_ON_EXIT=FALSE
test:
dataSource:
dbCreate: update
url: jdbc:h2:mem:testDb;MVCC=TRUE;LOCK_TIMEOUT=10000;DB_CLOSE_ON_EXIT=FALSE
production:
dataSource:
dbCreate: update
url: jdbc:h2:prodDb;MVCC=TRUE;LOCK_TIMEOUT=10000;DB_CLOSE_ON_EXIT=FALSE
properties:
jmxEnabled: true
initialSize: 5
4.4.5 Multiple Datasources
Version: 3.3.2
4.4.5 Multiple Datasources
By default all domain classes share a single DataSource
and a single database, but you have the option to partition your domain classes into two or more data sources.
Configuring Additional DataSources
The default DataSource
configuration in grails-app/conf/application.yml
looks something like this:
This configures a single DataSource
with the Spring bean named dataSource
. To configure extra data sources, add a dataSources
block (at the top level, in an environment block, or both, just like the standard DataSource
definition) with a custom name. For example, this configuration adds a second DataSource
, using MySQL in the development environment and Oracle in production:
dataSource:
pooled: true
jmxExport: true
driverClassName: org.h2.Driver
username: sa
password:
dataSources:
lookup:
dialect: org.hibernate.dialect.MySQLInnoDBDialect
driverClassName: com.mysql.jdbc.Driver
username: lookup
password: secret
url: jdbc:mysql://localhost/lookup
dbCreate: update
environments:
development:
dataSource:
dbCreate: create-drop
url: jdbc:h2:mem:devDb;MVCC=TRUE;LOCK_TIMEOUT=10000;DB_CLOSE_ON_EXIT=FALSE
test:
dataSource:
dbCreate: update
url: jdbc:h2:mem:testDb;MVCC=TRUE;LOCK_TIMEOUT=10000;DB_CLOSE_ON_EXIT=FALSE
production:
dataSource:
dbCreate: update
url: jdbc:h2:prodDb;MVCC=TRUE;LOCK_TIMEOUT=10000;DB_CLOSE_ON_EXIT=FALSE
properties:
jmxEnabled: true
initialSize: 5
...
dataSources:
lookup:
dialect: org.hibernate.dialect.Oracle10gDialect
driverClassName: oracle.jdbc.driver.OracleDriver
username: lookup
password: secret
url: jdbc:oracle:thin:@localhost:1521:lookup
dbCreate: update
You can use the same or different databases as long as they’re supported by Hibernate.
If you need to inject the lookup
datasource in a Grails artefact, you can do it like this:
DataSource dataSource_lookup
While defining multiple data sources, one of them must be named "dataSource". This is required because Grails determines which data source is the default by determining which one is named "dataSource". |
Configuring Domain Classes
If a domain class has no DataSource
configuration, it defaults to the standard 'dataSource'
. Set the datasource
property in the mapping
block to configure a non-default DataSource
. For example, if you want to use the ZipCode
domain to use the 'lookup'
DataSource
, configure it like this:
class ZipCode {
String code
static mapping = {
datasource 'lookup'
}
}
A domain class can also use two or more data sources. Use the datasources
property with a list of names to configure more than one, for example:
class ZipCode {
String code
static mapping = {
datasources(['lookup', 'auditing'])
}
}
If a domain class uses the default DataSource
and one or more others, use the special name 'DEFAULT'
to indicate the default DataSource
:
class ZipCode {
String code
static mapping = {
datasources(['lookup', 'DEFAULT'])
}
}
If a domain class uses all configured data sources, use the special value 'ALL'
:
class ZipCode {
String code
static mapping = {
datasource 'ALL'
}
}
Namespaces and GORM Methods
If a domain class uses more than one DataSource
then you can use the namespace implied by each DataSource
name to make GORM calls for a particular DataSource
. For example, consider this class which uses two data sources:
class ZipCode {
String code
static mapping = {
datasources(['lookup', 'auditing'])
}
}
The first DataSource
specified is the default when not using an explicit namespace, so in this case we default to 'lookup'
. But you can call GORM methods on the 'auditing' DataSource
with the DataSource
name, for example:
def zipCode = ZipCode.auditing.get(42)
...
zipCode.auditing.save()
As you can see, you add the DataSource
to the method call in both the static case and the instance case.
Hibernate Mapped Domain Classes
You can also partition annotated Java classes into separate datasources. Classes using the default datasource are registered in grails-app/conf/hibernate.cfg.xml
. To specify that an annotated class uses a non-default datasource, create a hibernate.cfg.xml
file for that datasource with the file name prefixed with the datasource name.
For example if the Book
class is in the default datasource, you would register that in grails-app/conf/hibernate.cfg.xml
:
<?xml version='1.0' encoding='UTF-8'?>
<!DOCTYPE hibernate-configuration PUBLIC
'-//Hibernate/Hibernate Configuration DTD 3.0//EN'
'http://hibernate.sourceforge.net/hibernate-configuration-3.0.dtd'>
<hibernate-configuration>
<session-factory>
<mapping class='org.example.Book'/>
</session-factory>
</hibernate-configuration>
and if the Library
class is in the "ds2" datasource, you would register that in grails-app/conf/ds2_hibernate.cfg.xml
:
<?xml version='1.0' encoding='UTF-8'?>
<!DOCTYPE hibernate-configuration PUBLIC
'-//Hibernate/Hibernate Configuration DTD 3.0//EN'
'http://hibernate.sourceforge.net/hibernate-configuration-3.0.dtd'>
<hibernate-configuration>
<session-factory>
<mapping class='org.example.Library'/>
</session-factory>
</hibernate-configuration>
The process is the same for classes mapped with hbm.xml files - just list them in the appropriate hibernate.cfg.xml file.
Services
Like Domain classes, by default Services use the default DataSource
and PlatformTransactionManager
. To configure a Service to use a different DataSource
, use the static datasource
property, for example:
class DataService {
static datasource = 'lookup'
void someMethod(...) {
...
}
}
A transactional service can only use a single DataSource
, so be sure to only make changes for domain classes whose DataSource
is the same as the Service.
Note that the datasource specified in a service has no bearing on which datasources are used for domain classes; that’s determined by their declared datasources in the domain classes themselves. It’s used to declare which transaction manager to use.
If you have a Foo
domain class in dataSource1
and a Bar
domain class in dataSource2
, if WahooService
uses dataSource1
, a service method that saves a new Foo
and a new Bar
will only be transactional for Foo
since they share the same datasource. The transaction won’t affect the Bar
instance. If you want both to be transactional you’d need to use two services and XA datasources for two-phase commit, e.g. with the Atomikos plugin.
Transactions across multiple data sources
Grails does not by default by default try to handle transactions that span multiple data sources.
You can enable Grails to use the Best Effort 1PC pattern for handling transactions across multiple datasources. To do so you must set the grails.transaction.chainedTransactionManagerPostProcessor.enabled
setting to true
in application.yml
:
grails:
transaction:
chainedTransactionManagerPostProcessor:
enabled: true
The Best Efforts 1PC pattern is fairly general but can fail in some circumstances that the developer must be aware of.
This is a non-XA pattern that involves a synchronized single-phase commit of a number of resources. Because the 2PC is not used, it can never be as safe as an XA transaction, but is often good enough if the participants are aware of the compromises.
The basic idea is to delay the commit of all resources as late as possible in a transaction so that the only thing that can go wrong is an infrastructure failure (not a business-processing error). Systems that rely on Best Efforts 1PC reason that infrastructure failures are rare enough that they can afford to take the risk in return for higher throughput. If business-processing services are also designed to be idempotent, then little can go wrong in practice.
The BE1PC implementation was added in Grails 2.3.6. . Before this change additional datasources didn’t take part in transactions initiated in Grails. The transactions in additional datasources were basically in auto commit mode. In some cases this might be the wanted behavior. One reason might be performance: on the start of each new transaction, the BE1PC transaction manager creates a new transaction to each datasource. It’s possible to leave an additional datasource out of the BE1PC transaction manager by setting transactional = false
in the respective configuration block of the additional dataSource. Datasources with readOnly = true
will also be left out of the chained transaction manager (since 2.3.7).
By default, the BE1PC implementation will add all beans implementing the Spring PlatformTransactionManager
interface to the chained BE1PC transaction manager. For example, a possible JMSTransactionManager
bean in the Grails application context would be added to the Grails BE1PC transaction manager’s chain of transaction managers.
You can exclude transaction manager beans from the BE1PC implementation with this configuration option:
grails:
transaction:
chainedTransactionManagerPostProcessor:
enabled: true
blacklistPattern: '.*'
The exclude matching is done on the name of the transaction manager bean. The transaction managers of datasources with transactional = false
or readOnly = true
will be skipped and using this configuration option is not required in that case.
XA and Two-phase Commit
When the Best Efforts 1PC pattern isn’t suitable for handling transactions across multiple transactional resources (not only datasources), there are several options available for adding XA/2PC support to Grails applications.
The Spring transactions documentation contains information about integrating the JTA/XA transaction manager of different application servers. In this case, you can configure a bean with the name transactionManager
manually in resources.groovy
or resources.xml
file.