Estimated lesson time: 10 minutes in .NET

Creator PDF417 in .NET Estimated lesson time: 10 minutes

Estimated lesson time: 10 minutes
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Michael Hotek One of my customers in the financial services industry had some strict data availability requirements for its application. The company required the database to be available more than 99.995 percent of the time as well as a guarantee of zero data loss except in the event of a catastrophic failure such as the loss of all or part of a data center due to an environmental disaster. The organization further required that the solution automatically detect any failure of the primary database as well as automatically fail over to a secondary server. The customer also wanted all of this to happen without the application s awareness and without requiring any application code changes. Replication and log shipping obviously would not work for this set of requirements. Although we could get replication to meet the 0.005 percent downtime requirement, we could not guarantee this level nor could we guarantee zero data loss. Log shipping could approach but likely not meet the 0.005 percent downtime requirement and could not automatically detect failure and provide automatic failover to the secondary server unless we wrote custom code on the back end. In addition, we could not guarantee zero data loss in a log-shipping implementation.
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Lesson 4: Understanding Operating Modes
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Clustering definitely could not meet the downtime requirements, although it could meet nearly all of the other requirements if we made a couple of simple changes to the data access object to add reconnect logic. To meet this organization s availability requirements before the introduction of SQL Server 2005, we would have had to write a lot of custom code and make significant changes to the application tier, which the company didn t want. But the new database mirroring functionality operating in High Availability operating mode met all these requirements. In implementing the data mirroring solution for this customer, we had some initial issues with application performance until we got the networking layer tuned properly. We also had to make a small modification to the data access object in the application to enable the application to detect a disconnect and then automatically reconnect. After we implemented these changes, we had an operating availability solution that met all the customer s availability requirements.
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High Availability Operating Mode
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Database mirroring s High Availability operating mode provides durable, synchronous transfer between the principal and mirror databases in addition to automatic failure detection and failover. SQL Server first writes all transactions into memory buffers within the SQL Server memory space. The system writes out these memory buffers to the transaction log and then flushes the log to the data files. When SQL Server writes the transaction to the transaction log, the system triggers database mirroring to begin transferring the transaction log rows to the mirror. The transaction rows continue to flow to the mirror. When the application issues a commit for the transaction, the transaction is first committed on the mirror database. An acknowledgement of the commit is sent back to the principal, which then allows the commit to be issued. After the commit is issued on the principal, the acknowledgment is sent back to the application, allowing it to continue processing. This process guarantees that all transactions are committed and hardened to the transaction log on both the principal and mirror databases before the commit is returned to the application.
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Classic availability method
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The High Availability operating mode uses an availability methodology that has been in practice for several decades. The application writes directly to at least two servers and does not process the next request until the transaction has committed to all servers. Database mirroring takes this approach one step further by extending it into the database, thereby making it transparent to applications.
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