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Part V
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Microsoft SQL Server 2005 Business Intelligence
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In addition to monitoring with perfmon, the Replication Monitor is a good place to see how replication is doing. This can be done by looking at the replication latency output as well as through the use of tracer tokens.
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Tuning the Transactional Replication System
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The main steps in tuning the transactional replication system are to properly configure the system and monitor it as shown above. In addition, after the system is in production and you can monitor it, you may need to modify the read batch size and the polling interval. The default value of 10 seconds is usually pretty good. By increasing the polling interval (making it smaller), you replicate transactions faster at the expense of more overhead on the transaction log. By decreasing the polling interval (making it longer), you reduce the overhead on the transaction log but leave transactions in the log longer before they are replicated. In update intensive systems, you may need to increase the read batch size. This will let the Log Reader Agent read more transactions out of the transaction log at a time. By increasing this value and leaving the polling interval at 10 seconds, you are able to replicate more transactions with less additional overhead. As with snapshot replication, it is also necessary to monitor and increase the capacity of the network if necessary. If your system appears to be performing optimally, such as CPU and I/O usage within their capacity limits, yet the replication process seems to be taking too long, you may have a network problem. Unfortunately, network problems cannot be diagnosed via perfmon. A network monitor such as SMS (System Management Server) should be used. Look for network usage near the capacity of the network card. In addition to these tuning guidelines, remember that the publisher, distributor, and subscribers are SQL Server systems just like any other SQL Server system.
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Tuning Transactional Replication with Updating Subscriptions
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If you are running transactional replication with updating subscriptions, you will have the additional task of monitoring the Queue Reader Agent. As with the other agents, the Queue Reader Agent also has a polling interval. As with the other agents, the Queue Reader Agent polling interval can be changed. The Queue Reader Agent can also be configured through SQL Server Management Studio (or the Replication Monitor) by selecting the properties on the Queue Reader agent. In SQL Server Management Studio, this is found through the Distributor Properties tool under Agent Profiles and the Profile Defaults button. In the Replication Monitor, this is found under Agent Profiles. Here you can create a new agent profile or modify the currently selected profile, which in this case is the Default Profile, as shown in Figure 20-48.
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20
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Replication
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Figure 20-48 The Queue Reader Agent Default Configuration window.
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Under normal circumstances, the Queue Reader Agent properties should not be changed.
Monitoring and Tuning the Merge Replication System
In this section, you will learn how to configure and tune a merge replication system for optimal performance. This section begins with a review of the attributes of merge replication, followed by configuration, monitoring, and tuning guidelines. Unlike transactional replication and snapshot replication (except for updating subscribers), merge replication is not a one-way replication. Modifications can be made on either the publisher or any number of subscribers. Another difference is that where transactional replication is done external to the normal operations of SQL Server by reading the transaction log, merge replication triggers are created on the replicated tables in order to track changes to them. In this way, merge replication is very different.
Attributes of Merge Replication
Merge replication begins with a snapshot, but since it occurs only once, it is not extremely important to tune this snapshot. The merge system creates tables both on the publisher and distributor in order to perform the replication. In addition, a new column is added to every replicated table that holds a unique row identifier. This is used to uniquely identify each row so that the replication agent can effectively track changes.
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