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For a comparison of database mirroring with failover clustering and log shipping, see the previous sections.

Spring s Quartz integration follows a similar pattern to the integration with Timer in that it allows you to configure your job scheduling fully within the Spring configuration file. In addition to this, Spring provides further classes to integrate with the Quartz JobStore, thus allowing you to configure Job persistence in your configuration and for Job modification to take part in Spring-managed transactions.

As you would expect, much of the code you need to schedule a Quartz Job using Spring goes into the Spring configuration file. Indeed, you only need to load the ApplicationContext in your application for the configuration to take effect and for Spring to start the Scheduler automatically. In Listing 12-21, you can see the configuration code required to configure the MessageJob class you saw in Listing 12-16 to run once every 3 seconds. Listing 12-21. Configuring Scheduling Declaratively < xml version="1.0" encoding="UTF-8" > <beans xmlns="http://www.springframework.org/schema/beans" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans-2.0.xsd"> <bean id="job" class="org.springframework.scheduling.quartz.JobDetailBean"> <property name="jobClass" value="com.apress.prospring2.ch12.quartz.MessageJob"/> <property name="jobDataAsMap"> <map> <entry key="message" value="This is a message from the Spring config file!"/> </map> </property> </bean> <bean id="trigger" class="org.springframework.scheduling.quartz.SimpleTriggerBean"> <property name="jobDetail" ref="job"/> <property name="startDelay" value="1000"/> <property name="repeatInterval" value="3000"/> <property name="jobDataAsMap"> <map> <entry key="triggerMessage" value="Trigger message from the Spring config file!"/> </map> </property> </bean> <bean id="schedulerFactory" class="org.springframework.scheduling.quartz.SchedulerFactoryBean"> <property name="triggers"> <list> <ref local="trigger"/> </list> </property> </bean> </beans> Here, you can see that we use the JobDetailBean class, which extends the JobDetail class, to configure the job data in a declarative manner. The JobDetailBean provides more JavaBean-style properties that are accessible by Spring, and it also provides sensible defaults for properties that you usually have to specify yourself. For instance, notice that we did not specify a job name or a group name. By default, the JobDetailBean uses the ID of the <bean> tag as the job name and the default group of the Scheduler as the group name. Notice that we are able to add data to the JobDataMap property using the jobDataAsMap property. The name of this property is not a typographical error

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This is an interesting comparison. You can t really compare database mirroring to any form of replication other than transactional, as they are the most similar; you may even have questions about when to use one versus the other. Both protect at the individual database level; and transactional replication and database mirroring work per transaction. So what is the difference Database mirroring is designed more for disaster recovery since it takes all transactions, whereas transactional replication is based on whatever you set up for your publications. Database mirroring is also set up to handle your failovers, whereas with transactional replication you must create all of those processes yourself. Both transactional replication and database mirroring require you to get all objects and logins in sync manually. In the simple case, database mirroring may have the edge over replication in the sense that once you set it up, it works with the sole purpose of creating a standby server. Replication will need much more monitoring and setup (such as defining your publications) and is not really my go-to solution for availability.

SSRS, a SQL Server job is created using the SQL Server Agent. Jobs can be monitored through SSMS or Report Manager.

you can t add directly to the jobDataMap property It is of type JobDataMap, and this type is not supported in Spring configuration files With the JobDetailBean configured, the next step is to create a trigger Spring offers two classes, SimpleTriggerBean and CronTriggerBean, that wrap the SimpleTrigger and CronTrigger classes, allowing you to configure them declaratively and to associate them with a JobDetailBean all within your configuration file Notice that in Listing 12-21, we defined a starting delay of 1 second and a repeat interval of 3 seconds By default, the SimpleTriggerBean sets the repeat count to infinity The final piece of configuration you need is the SchedulerFactoryBean By default, the SchedulerFactoryBean creates an instance of StdSchedulerFactory, which, in turn, creates the Scheduler implementation.

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