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more filters to each article that restrict the set of data that is replicated.
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You can filter articles by rows or by columns.
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A column filter specifies a subset of the columns within a table. The column filter
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enables data to be replicated, but information that might be sensitive can be excluded.
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A row filter restricts the set of rows that are replicated. There are three different types
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of row filters that you can apply.
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Replicated data
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Data moving within replication is referred to as the publication or set of data. It is always within the context of the subset of the data that you have defined to be replicated based on the articles selected and any row or column filters applied. This is a unique characteristic of replication, whereby a portion of a database can be made highly available.
A static row filter is predefined when the article is created and restricts the article to the same subset of data, regardless of the subscriber. An example of a static row filter is as follows:
WHERE State = 'TX'
A dynamic row filter, available only with merge replication, enables you to define a filter that is not fixed on an article. During the synchronization process, the filter is calcu lated based on information from the subscriber, which enables a single publication to distribute different sets of data to each subscriber. An example of a dynamic filter is the following:
WHERE UserName = suser_sname()
A join filter, available only in merge replication, enables you to filter a table based on the relationship to a parent table. For example, you might have a table with custom ers, their corresponding orders, and the details for the orders. If the customers table has a filter that restricts the set of data to a particular state, you would also want to fil ter the orders and order details in the same manner. However, the state column would not exist in either of these tables. By employing a join filter, you can filter the custom ers based on state and then also have the orders and order detail tables filter based on the subset of customers that are being replicated.
Exam Tip
Although replication has the capability to apply filters to articles, this capability is not used in high-availability architectures. A high-availability architecture is mainly concerned with
Lesson 1: Overview of Replication
maintaining a complete and coherent copy of the data on a separate instance of SQL Server.
Replication Roles
You can configure databases and correspondingly the instances that host the data bases in three different roles. The publisher maintains the master copy of the data within a replication architecture. You configure the instance hosting the publisher database with the publication that defines the set of data to be replicated. The subscriber is the database that is receiving changes from the replication engine defined by the publication to which it is subscribing. A subscriber can receive changes from more than one publication. The distributor is the main engine within a replication architecture. The distribution database is stored on the instance that is configured as the distributor. In any replica tion architecture, the distributor is the location in which all replication agents will run by default. An instance of SQL Server can be configured as a distributor. A database can be con figured as a publisher, subscriber, or both.
Replication Topologies
A replication topology provides a process flow diagram that describes how data flows within a replication architecture.
Central Publisher Topology
A central publisher topology consists of a single publisher that has one or more sub scribers. The central publisher contains the master copy of the data and is used to set up the replication architecture. In this topology, data changes generally occur at a single source, the publisher, and flow down to one or more subscribers, as shown in Figure 11-1. A central publisher is the most common topology used in replication.
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Replication
Publisher
Distributor
Subscriber
Subscriber
Subscriber
Figure 11-1 Central publisher topology
Central Subscriber Topology
A central subscriber topology consists of a single subscriber that has more than one publisher. Changes are written to multiple publishers and then consolidated into a single subscriber, as shown in Figure 11-2. A central subscriber topology is normally used for consolidating multiple databases or as a central reporting database.
Subscriber
Distributor
Publisher
Publisher
Publisher
Figure 11-2 Central subscriber topology
Other Topologies
You will find many different replication topologies documented in various resources, and each one is simply a permutation of either a central publisher or a central sub scriber. One topology that you will find is a bidirectional topology, which is noth ing more than two central publishers stacked together. It is not an actual topology; it is an architectural implementation of transactional replication. Two other topolo gies include central publisher with remote distributor and central subscriber with
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