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e If the page is not found in hash search, then SQL Server inserts it into the hash table 3 It issues the ReadFileScatter operation to read the data When the I/O operation is complete, each page is sanity checked for a valid page number and torn page errors In addition, various other data integrity and safety checks are performed The I/O latch is then released so the page is available for use if it is located on the hash chain If the page was determined to be already in memory, the page is immediately discarded to the free list This process shows the key factors of SQL Server I/O patterns Read-ahead goes after pages that can already be in memory or not allocated Because SQL Server maintains the in-memory buffers and hash chains, SQL Server tracks the page s state.

Exam Tip You can configure a transactional publication with both the Immediate Updating Sub scriber and Queued Updating Subscriber options. The Queued Updating Subscriber option can be used as a failover mechanism when the publisher is not available.

You can configure transactional replication in two common architectures in addition to the normal one-way operation that is the default. You should not confuse each of these architectures with any other mechanism within the replication engine. These architectures still implement regular one-way transactional replication without any updating options. The implementation is done to cause changes to flow back and forth between publisher and subscriber, but it is still the transactional engine. The transactional engine does not detect or resolve data conflicts. Therefore, if you could be processing changes at both the publisher and subscriber that might generate a data conflict, you cannot implement transactional replication in either a bidirec tional or peer-to-peer architecture.

3

Importantly, read-ahead processing opens the door for overlapping read and write requests at the hardware level..

Peer-to-peer replication is a new architecture in SQL Server 2005 that is available only in the Enterprise Edition. The basic architecture is to enable transactional replication to move data between two or more peers. A diagram of a peer-to-peer architecture is shown in Figure 11-6.

Peer-to-peer replication is an implementation of transactional replication. The basic idea is that you can take a set of tables and replicate them from Database1 to Database2 using transactional replication. You then create a publication over the same set of tables on Database2 and replicate them back to Database1 using transactional replication. In effect, each database participating in a peer-to-peer architecture replicates all changes to all other databases. To prevent transactions from endlessly looping around the architecture, you must have a rowguid column on each of the tables par ticipating in replication that enables the engine to identify the database originating the transaction. Peer-to-peer replication has a strict list of requirements that need to be met:

1

Each peer must have its own distributor. The table structure must be exactly the same among all peers. Queued updating and immediate updating options are not available. No data conflicts can occur.

After this lesson, you will be able to:

The SOAP request includes a query that returns employee data as an XML stream for a particular employee. Because the employee ID needs to be passed in as a parameter for the query, the <Parameters> element is included. Enabling batches for an endpoint enables users to execute any query against the database. This enables them to get data beyond what is returned from the Web method assigned to the endpoint. Essentially, they are able to execute any query allowed by the SQL Server permissions. If you decide to enable batches for HTTP endpoints, ensure that the user accounts accessing those endpoints have proper permissions assigned.

Bidirectional replication is slightly different from peer-to-peer replication in the way that you configure it. This architecture is still transactional replication. The set of tables being replicated from Database1 to Database2 is the same set of tables being replicated from Database2 back to Database1, as shown in Figure 11-7.

Publisher/ Subscriber Subscriber/