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When you execute a LINQ query, the corresponding expression tree for the query must be converted, or compiled, into an internal command tree. This internal command tree is passed to the provider to be converted into the appropriate database commands (typically SQL). The cost of converting an expression tree can be relatively expensive depending on the complexity of the query and the underlying model. Models with deep inheritance, horizontal splitting, QueryViews, and DefiningQuerys introduce enough complexity in the conversion process that the compile time may become significant relative to the actual query execution time. If the query is reused, you may get a performance improvement by explicitly compiling the query, as illustrated in Listing 13-10. A compiled query can t contain eSQL or access any builder methods because an eSQL query, by default, is cached. You can turn off caching in eSQL by setting ObjectQuery.EnablePlanCaching to false. This does not, however, allow you to compile eSQL queries. Only LINQ queries can be compiled. Compiled queries are especially helpful in ASP.NET search page scenarios where parameter values may change, but the query is the same and can be reused on each page rendering. This works because a compiled query is independent of the object context. The object context for the query is a parameter when executing a compiled query. A compiled query can return a single entity or a collection of entities, a complex type or a primitive type. If you want to return an anonymous type, you ll need to use the nongeneric version that infers the type from the query itself. This is illustrated in Listing 13-11.

SqlConnection cn = new SqlConnection( ConfigurationManager .ConnectionStrings["localPubs"].ConnectionString); SqlCommand cm = new SqlCommand("", cn); foreach (DataRow dr in ds.Tables[0].Rows) { sqlUpdate = ""; sqlWhere = ""; foreach(DataColumn dc in ds.Tables[0].Columns) { if (dr[dc, DataRowVersion.Current] != dr[dc, DataRowVersion.Original]) { sqlUpdate += string.Format("{0} = '{1}', ", dc.ColumnName, dr[dc]); sqlWhere += string.Format(" and {0} = '{1}'", dc.ColumnName, dr[dc, DataRowVersion.Original]); } } if (sqlUpdate.Length > 0) { sqlUpdate = sqlUpdate.Substring (0, sqlUpdate.Length - 2); sql += string.Format(sqlBase, sqlUpdate, dr["au_id", DataRowVersion.Original], sqlWhere); ; } } cm.CommandText = sql; cn.Open(); int updates = cm.ExecuteNonQuery(); cn.Close(); return true; } The next thing to do with this method is to compare the number of rows that were updated to the number of rows that have changed in the DataSet, to make sure no concurrency errors occurred (in the limited definition you ve implemented here). Then the DataSet would need to be refreshed by calling AcceptChanges. if (updates != ds.Tables[0].GetChanges().Rows.Count) return false; else { ds.AcceptChanges();

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Listing 13-11. Using Compile() for queries that return an anonymous type using (var context = new EFRecipesEntities()) { // an example of returning an anonymous type var list = CompiledQuery.Compile((EFRecipesEntities ctx) => from a in ctx.Associates select new { Name = a.Name, TotalPay = a.Paychecks.Sum(p => p.Gross) }); var everyone = list(context).ToList(); } In some cases, you may find that only part of a query is reused in an application. Because compiled queries can be composed with other queries, even in these cases we can often get a performance improvement. The code in Listing 13-12 illustrates using a compiled query in another query. Listing 13-12. Composing compiled and noncompiled queries using (var context = new EFRecipesEntities()) { // an example of composing compiled and non-compiled queries var query = CompiledQuery.Compile<EFRecipesEntities, string, IQueryable<Associate>>((ctx, city) => ctx.Associates.Where(c => c.City == city)); var highlyPaid = from a in query(context,"Raytown") where a.Paychecks.Average(p => p.Gross) > 1500M select a; var associates = highlyPaid.ToList(); }

Figure 7 13. The Mapplet search dialog (prototype) where the user can type into either the Address or the Point of Interest fields

You have a property on an entity that is seldom read and updated. This property is expensive to read and update because of its size. To improve performance, you want to selectively populate this property.

return true; } AcceptChanges doesn t move any data to the database (only an adapter can do that); it simply copies current values over original values. The same null checking logic you saw earlier needs to be built into this method as well.

Let s say you have a model like the one in Figure 13-8.

Figure 7 14. Caught on camera: the programmers naturally avoided this screen, but a tester walking the user s path (through a defined script based on the use cases) would discover this screen very quickly. But our independent QA department said, Not so fast. Your Use Address use case says that the locate button is enabled when anything is typed into the address field. It doesn t say anything about a state field being required. After some discussion, the team resolved that if the first geocoding service returned no results, they could automatically try the second geocoding service. You can see the result in Figure 7 15. This resulted in an improved user experience, since now users can type a city name into the address field as they would expect, and properly get a list of candidate locations.

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