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Clustered indexes have one row in sys.partitions, with index_id = 1 for each partition used by the index. By default, a clustered index has a single partition. When a clustered index has multiple partitions, each partition has a B-tree structure that contains the data for that specific partition. For example, if a clustered index has four partitions, there are four B-tree structures, one in each partition. Depending on the data types in the clustered index, each clustered index structure will have one or more allocation units in which to store and manage the data for a specific partition. At a minimum, each clustered index will have one IN_ROW_DATA allocation unit per partition. The clustered index will also have one LOB_DATA allocation unit per partition if it contains large object (LOB) columns. It will also have one ROW_OVERFLOW_DATA allocation unit per partition if it contains variable-length columns that exceed the 8,060-byte row size limit.

Reverse the direction of replication. Back up the subscriber, restore to the publisher, and then reinitialize the sub scriber.

The pages in the data chain and the rows in them are ordered on the value of the clustered index key. All inserts are made at the point where the key value in the inserted row fits in the ordering sequence among existing rows. For a clustered index, the root_page column in sys.system_internals_allocation_units points to the top of the clustered index for a specific partition. SQL Server moves down the index to find the row corresponding to a clustered index key. To find a range of keys, SQL Server moves through the index to find the starting key value in the range and then scans through the data pages using the previous or next pointers. To find the first page in the chain of data pages, SQL Server follows the leftmost pointers from the root node of the index.

If you employ one of the architectures that have built-in mechanisms to send changes from the subscriber back to the publisher, the only process that needs to be per formed to fail back is a change of the connection settings for the application.

RAID 0 is also known as disk striping. When you implement RAID 0, data is divided into blocks and then spread equally over the disks that make up the RAID 0 set. RAID 0 provides the best performance, as data reads and writes aren t limited to a single disk but can be performed simultaneously across all disks on the set. To explain this

1. What is the difference between two-way data movement and bidirectional/ peer-to-peer replication 2. How do you handle identity columns if you fail over to a subscriber partic ipating in transactional replication without any options applied

Non-clustered indexes are very similar in structure to clustered indexes with the following key differences:

1. Replication methods that accomplish two-way data movement are merge, transactional with queued updating subscribers, and transactional with immediate updating subscribers. Each of these methods has a centralized arbiter that either avoids conflicts (immediate updating) or can detect and resolve data conflicts. Bidirectional and peer-to-peer replication cannot detect or resolve conflicts. 2. Transactional replication sends data from publisher to subscriber and does not expect any changes to be made to the subscriber. Therefore, the identity property will be removed when the Snapshot Agent generates the schema script that will be applied to the subscriber. You need to either generate the scripts yourself and then edit the replication stored procedures or create a script to reintroduce the identity property to the subscriber before applica tions are failed over.

The data rows of the underlying table are not sorted and stored in order based on their non-clustered keys. The leaf layer of a non-clustered index is made up of index pages instead of data pages.

Transactional replication can be used to maintain a redundant copy of data on a second instance. However, it requires manual changes to ensure that items such as the identity property on columns existed on the subscriber before a failover event. A better choice is either transactional replication with queued updating sub scribers or merge replication because each option has the built-in capability to accept changes at either publisher or subscriber and then synchronize data. So, both failover and failback are simply a matter of changing the connection string for an application. As long as you can ensure that data conflicts cannot occur, transactional replica tion in either a bidirectional or peer-to-peer configuration can be used for avail ability scenarios.

4

You can use the following questions to test your knowledge of the information in Les son 4, Designing Failover and Failback Strategies. The questions are also available on the companion CD if you prefer to review them in electronic form.