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One-way Data Movement
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Identities continue to pose a challenge with transactional replication. The identity property can be moved when the subscription is created, but it requires you to man ually create the tables. The most straightforward way to set up the subscriber for failover in an availability architecture is to initialize by using a backup. This creates a duplicate of the publisher, including all schema objects and permissions. You then have to ensure that each of the stored procedures used by the replication engine for applying inserts to the subscriber includes the SET IDENTITY_INSERT <tablename> ON and SET IDENTITY_INSERT <tablename> OFF statements. After you ensure that you have created all objects necessary for the application on the subscriber, the failover process consists of a single step: changing the connection string for the applications to connect to the subscriber. The failover for transactional replication is a one-way process. After the publisher is repaired and brought back online, the only way to resynchronize with the subscriber is to overwrite the publisher with the contents of the subscriber. You generally accom plish this task by removing the replication setting and then re-creating replication going back in the opposite direction. The database that was the subscriber that appli cations are failed over to would now become the publisher.
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Setting up a replication architecture based on two-way data movement means that changes can be issued against the subscriber, and the architecture already has built-in mechanisms to move changes back to the publisher. You can set up this architecture with the following:
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Transactional replication with queued updating subscribers Merge replication
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Lesson 4: Designing Failover and Failback Strategies
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Because each of these architectures is designed to process changes on both the pub lisher and the subscriber, the identity property already exists on the appropriate col umn. No further work is required to enable applications to fail over to the subscriber and begin processing changes. The only step required is to change connection strings for the application. When you bring the publisher back online, each of these architectures has the builtin capability to automatically resynchronize the publisher so that no additional inter vention is required after the publisher is back online.
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Bidirectional and Peer-to-Peer Replication
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Bidirectional and peer-to-peer replication are more specifically stated as follows:
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Transactional replication in a bidirectional configuration Transaction replication in a peer-to-peer configuration
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Each of these configurations uses transactional replication moving data in a single direction. The configuration is such that each side publishes the same data. Although the data succeeds in flowing in two directions, this configuration is different from twoway data movement. Transactional replication does not have any conflict detection or resolution, so any data conflicts introduced will create errors. The worst of these conflicts is an update conflict. If the same row of data were updated at multiple locations between cycles of the replication engine, each change would be distributed to all other databases partic ipating in these configurations, but the change would be prevented from looping back to the originator. Although it is desirable to prevent endlessly looping transactions, a very serious situation is created. Consider the following example. DatabaseA and DatabaseB are participating with each other in a bidirectional transac tional replication configuration. A user on DatabaseA changes the ABC Company to XYZ Company. A user on DatabaseB changes the credit limit from $5,000 to $75,000. The replication engine then runs a cycle to move the changes. Because the default con figuration for transactional replication is to move the entire row, you would wind up with XYZ Company having a credit line of $5,000 on DatabaseB, and ABC Company having a credit line of $75,000 on DatabaseA. The replication engine would prevent the transactions from looping back and, because each transaction would succeed, no errors would be generated. The databases would be permanently out of sync with each other, and the only way to fix the problem would be through user intervention.
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