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The Immediate Updating Subscriber option enables changes to be made at the sub scriber that are propagated back to the publisher. The change is then picked up by the transactional engine and sent to all other subscribers but does not get reapplied to the subscriber that originated the change. To prevent the change from being sent back to the originating subscriber, a time-stamp column is required on each table that is par ticipating in replication. The process of applying changes at a subscriber configured with the Immediate Updating Subscriber option is the following: 1. The application issues the transaction at the subscriber. 2. The trigger is fired. 3. The trigger enlists Microsoft Distributed Transaction Coordinator (MS DTC) to connect to the publisher and reissue the transaction. 4. The transaction commits on the publisher. 5. The trigger commits on the subscriber. 6. The transaction commits on the subscriber.

SQL Server uses sophisticated algorithms to retrieve data pages that are going to be used in the immediate future For example, if you run a query that can use an index to determine applicable rows, a read-ahead might occur on the actual data pages that are needed to complete the select list As index entries are identified, SQL Server can post OVERLAPPED I/O operations for the data pages that will be used in upcoming steps of the query plan For example, this is how a query using a bookmark lookup operator uses read-ahead (More information about the bookmark lookup is included later in this appendix) This example is just one of many read-ahead situations that SQL Server can use Enabling the index searching to continue while the data page I/O is in progress maximizes the CPU and I/O of the system.

The main issue concerning high-availability architectures with immediate updating subscribers is that changes must be applied to the publisher. If the publisher is not available, the distributed transaction fails. Because the distributed transaction is being executed from a trigger, the initiating transaction also fails and rolls back. Therefore, the Immediate Updating Subscriber option is an incompatible replication option for high availability.

The Queued Updating Subscriber option also allows changes to be made at the sub scriber and then propagated back to the publisher, but it does so via a much different mechanism than the Immediate Updating Subscriber option. The process by which a change is applied to a subscriber is as follows: 1. The application issues a transaction. 2. The trigger is fired. 3. The trigger logs the transaction into a queue (a table within the database). 4. The trigger commits. 5. The transaction commits. The Queue Reader Agent periodically transfers the queue back to the publisher and issues all the transactions. A change transferred to the publisher is not reapplied to the subscriber that initiated the transaction. This requires a time stamp column on the table. Because of the asynchronous processing of a queued update, data conflicts can occur. To mitigate data conflicts, when you use the Queued Updating Subscriber option in high-availability architectures, changes are applied to the subscriber only during a fail ure scenario. This ensures that changes are always made to a single copy of the data, thereby enabling normal application processing to handle conflicting changes. The advantage of the Queued Updating Subscriber option is that when the publisher is brought back online, all the changes that occurred at the subscriber during the out age can be automatically flushed to the publisher. All the planning and processes required to fail back with other architectures are eliminated because the Queued Updating Subscriber option has the built-in capability to bring the publisher back up to date following a failover. The only step required to fail back to the publisher is to repoint the applications.

I replaced the stick with a new one and restarted the server From then on, the server functioned perfectly..

The I/O is often completed by the time it is needed, so other steps in the plan have direct memory access to the needed data and do not have to stall while waiting on I/O When a read-ahead is posted, it can be from 1 to 1,024 pages SQL Server limits a single read-ahead request depth to 1,024 pages SQL Server uses the following steps to set up read-ahead: 1 It obtains the requested amount of buffers from the free list 2 For each page: a It determines the in-memory status of the page by doing a hash search b If it s found to be already in memory, SQL Server sets up the read-ahead request to immediately return the buffer to the free list upon I/O completion c It establishes the proper I/O request information for ReadFileScatter invocation d It acquires I/O latch to protect buffer from further access.

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