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data types is that if you re passing in a string to your aggregation, then you must define the data type as nvarchar. The reason for this is that there is no mapping at this time between a non-Unicode string and a managed data type.

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Your transaction size will have an impact on how quickly your transaction logs are processed. If you generate many longer running transactions, the mirror will be a larger delta off of the primary database since it will take longer to send and then apply the transaction. It is in your best interest to optimize your transactions within your application to be as small as possible. The quicker SQL Server can process them, the faster the log is restored (or rolled forward in a stop/start). The next time your developer wants to do some funky insert with 70,000 joins, slap his or her wrist since it will ultimately affect your availability or performance in one way or another.

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Database mirroring is dependent upon a transaction log that is not log bound at the disk level. If you have a poorly performing transaction log, database mirroring will suffer. If everything is working properly, the only things you need to worry about are how the high performance and high safety modes interact with the transaction log. In either mode, if you pause database mirroring, the database mirroring state is preserved but the transaction log on the principal continues to grow since no transactions are sent to the mirror. Pausing also means that a transaction log cannot be truncated. This obviously affects the ability to back up the transaction log since part of the backup process is to truncate the transaction log. If the mirror is lost, the transaction log will continue to grow on the principal. If you have enough disk space, it is not a problem, but at some point you may need to break database mirroring and reconfigure it once the mirror is back up if you are in jeopardy of running out of disk space.

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Like backup and restore, log shipping, and replication, you will need to worry about synchronizing the logins between the principal and the mirror if you plan on ever using the mirror as the primary database. For more information on synchronizing database logins, see 3 and 15.

We then build our test table, load some values, and then call our aggregate function in a standard SELECT statement: CREATE TABLE TestAgg (AggId int, AggValue bigint) GO INSERT INTO TestAgg VALUES (1,8) INSERT INTO TestAgg VALUES (2,8) INSERT INTO TestAgg VALUES (3,9) INSERT INTO TestAgg VALUES (4,12) INSERT INTO TestAgg VALUES (5,13) GO SELECT dbo.ExcelVarP(AggValue) FROM TestAgg The result should be 4.4 It is worth reiterating the sequence of events when performing UserDefined serialization. This will ensure that you are aware of which method fires at which point. When the query starts to process, your aggregation is loaded into memory, ready for the first row of data to be processed. This sequence is also called on a new grouping within the GROUP BY clause. The methods called are as follows: Init Write For the first row of data processed, and for each subsequent row processed, the following methods are executed: Read Accumulate Merge Write Finally, once all the rows are processed and the query is terminating, the aggregation is also terminating. This sequence is also called when the grouping within the GROUP BY alters: Read Terminate

Besides synchronizing database logins, you need to worry about other objects such as SQL Server Agent jobs, database maintenance plans, and SSIS packages that may be needed to make the mirror a true production-ready copy of the database. Like log shipping, database mirroring only applies changes that are captured either in the transaction log or the initial full backup. Most of the objects are easily scripted or re-created but must be taken into account when considering log shipping because missing something may mean that your applications that rely on the database might not function properly. For example, if a job performs an important data manipulation on a scheduled basis and it is not recreated on the mirror, chances are your reports will not produce the right data.

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