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If you have configured conflict resolution with the Publisher Always Wins resolver, the change that was made at the publisher overrides the change at the subscriber. In this case, the change from the subscriber is thrown away at the publisher and logged into a conflict table, and the change on the publisher is sent to the subscriber. This causes the change at the subscriber to be overwritten. If you have configured conflict resolution with the Subscriber Always Wins resolver, the change that was made at the subscriber overrides the change made at the publisher. This ensures that a single coherent copy of the data is maintained across the replica tion architecture. However, it creates a serious business situation. The change at both publisher and subscriber were perfectly valid transactions that were committed. Another user could have retrieved the information that was submitted and made a business decision based on the data that was available. The replication engine then exchanges data, detects a conflict, and overwrites the data. From a business perspec tive, the decision made might now be invalid. Data conflicts are a situation that must be detected and resolved by the replication engine to maintain a single coherent copy of the data across the architecture. How ever, it is up to the application designer to ensure that data conflicts do not occur across distributed processing environments in order to maintain the integrity of busi ness decisions. Data conflicts should be an anomaly in your organization.

If a database is participating in replication, you must be extremely careful with the Bulk-Logged and Simple recovery models. When a database is placed in the Bulk-Logged or Simple recovery models, minimally logged transactions can be executed. These types of transactions only log page alloca tions and deallocations into the transaction log; they do not fire triggers. The five minimally logged transactions are the following:

When a page is read from disk, the page number is immediately checked to ensure that the proper offset was returned (the page number in the header is compared to the expected page number). If the value isn t as expected, SQL Server will generate Error 823. Object ID This is the ID of the object to which the page is assigned within the schema of the database. A page can be assigned to only a single object. When the page is read from disk, the object ID is checked on the page. If the object ID does not match the expected object ID, SQL Server will generate Error 605. Extents SQL Server generally allocates space an extent at a time. An extent is eight 8-KB pages, or 64 KB. SQL Server often performs reads in extent-sized (64 KB or 128 KB) boundaries as well. Buffer Pool The buffer pool is also referred to as the BPool. The BPool consumes the majority of the user mode address space, leaving relatively little virtual address range free for thread stacks, dynamic-link libraries (DLLs), and other activities. The buffer pool is reserved in large chunks, but the working page size of 8 KB is maintained to match the database page size.

The Log File Viewer enables you to view logs from SQL Server, the SQL Server Agent, and Database Mail. It also allows you to view all the Windows NT event logs. It is possible to query the sys.messages catalog view to view error data.

Replication is concerned with only three of these operations TRUNCATE TABLE, BULK INSERT, and BCP because each affects data within a table. If the database is placed into the Simple or BulkLogged recovery model, and if any of these operations is executed, the replication engine cannot pick up the changes because transactional replication relies on transactions in the transaction log, and merge replication relies on triggers.

by the controllers. Depending on the size of the available cache, the read-ahead cache is used to retrieve more data than the actual read request might have requested. The hardware read cache and read-ahead cache will be helpful to an application whose data is commonly of a contiguous nature and is retrieved in a reasonably contiguous manner, such as OnLine Analytical Processing (OLAP) scans or a reporting application. Because the hardware read cache removes some of the cache memory that could be used to support write requests, it can have a negative effect on OnLine Transaction Processing (OLTP) installations that require that data be written at high rates.