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public class AuditLogInterceptor : NHibernate.Cfg.EmptyInterceptor { private ISession session; private long userId; Collections to keep new private ISet inserts = new HashedSet(); and modified entities private ISet updates = new HashedSet(); public ISession Session { get { return this.session; } Opened session set { this.session = value; } must be provided } public long UserId { get { return this.userId; } Required for set { this.userId = value; } AuditLogRecord } public virtual bool OnSave(object entity, Collects new object id, entities object[] state, string[] propertyNames, IType[] types) { if ( entity.GetType().GetCustomAttributes( The code is pretty straightforward. In order to get all results as one result set, a table variable B is used to store the base data and the calculated running totals. The primary key on the table variable is there primarily to create a good clustered index for the iteration, which explains why it includes more columns than the key (which is on SalesOrderID only). The only way to index a table variable is to add PRIMARY KEY or UNIQUE constraints to it. A T-SQL cursor is then used to iterate over the rows. For each row, the variable holding the running total is incremented with the total of that order and then stored in the results table E, after resetting the running total to 0 when the customer changes D. The ORDER BY of the cursor C ensures that the data is processed in the proper order, so that the calculated running totals will be correct. On my laptop, this code takes 1.9 seconds. That s slower than the declarative version presented earlier. But if I change the code to calculate running totals per territory, the running time remains stable at 1.9 seconds. This shows that, even though the declarative solution is faster when the average number of rows in the self-join is low, the iterative solution is faster at all other times, with the added benefit of stable and predictable performance. Almost all processing time is for fetching the order rows, so the performance will grow linearly with the amount of data. ally, the upper bound is defined by the constant RAND_MAX, which is guaranteed to be at least 32,767). Next, the % operator is used to return the remainder when the random number is divided by 6. This yields a random number ranging from 0 to 5. Finally, 1 is added to this number, converting it to a number between 1 and 6, and that number is returned. 6
Description
The System.Core.dll assembly comes with .NET 3.5. We ll describe its content and the content of the other LINQ assemblies in chapter 3. 12x 7/20 Using database mirroring for routine maintenance
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