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int main() { DateTime dt = DateTime::Now; for (int i = 0; i < 1000000; ++i) f(dt); } Every iteration of the for loop calls f passing the dt value. Since f expects an argument of type DateTime^ a tracking handle to DateTime the dt value is boxed. This can be a significant overhead for the memory allocations as well as for the GC. To avoid this overhead, the object can be boxed before the loop starts: DateTime^ dt = DateTime::Now; for (int i = 0; i < 1000000; ++i) f(dt); However, this approach can have side effects. If the f is implemented so that it calls a function on its argument that modifies the state of the boxed value, the same object will be modified by all iterations. If a value is passed instead of a boxed object, every iteration will create a new boxed object. This new boxed object will be modified and the value passed to the function will remain unchanged. To avoid these problems, System::DateTime does not have functions that modify the state of an object. Functions like DateTime::AddDays return a new value with the modified state instead of returning an existing one. Many other value types from the FCL, and other libraries, however, do have functions that can be used to modify the value. It is important to understand that a boxed object and the value used to create it are independent instances.

Note All chapter code samples installed on a Windows 2003 server will try to install their web sites

The query will be much faster and you don t have to do any extra filtering work in the middle tier.

Using indexes to make queries faster Indexes make your query faster. Your DBAs are probably responsible for building the indexes on tables, but there s a good chance that they don t know the details of how your application works. You should work with them so that they understand the queries used by your application. Only then can they build appropriate indexes for your application. Queries that include the primary key always use an indexed scan, meaning that no additional indexes are required. In spite of this, here are some additional cases where you ll want to use an index to improve performance. Filtering based on a nonidentity field This is very prevalent in applications. For example, suppose you want to retrieve your Item entities by itemTitle as follows:

This JPQL statement will be translated to SQL as follows:

If you do not have an index on ITEM_TITLE, the query will include a FULL TABLE SCAN. Therefore, we recommend you create an index in these situations. In this case, the index would be created on ITEM_TITLE. Using indexes for relationship fields Relationships are implemented in the database by using foreign key constraints. However, you may not have indexes on the foreign key column(s). When you retrieve an associated entity, a JOIN between the two underlying tables is performed. But this is slow because a FULL TABLE SCAN will be executed on the associated entities. Creating an index on the underlying table will allow the database to use that index while joining the tables, which is must faster than joining two large tables without an index. In ActionBazaar, Item and Bid have a one-to-many relationship due to eager loading. If you have a JPQL query that uses a JOIN clause, the persistence provider could generate the following SQL statement:

During JIT compilation, the compiler automatically generates data that specifies at what native instruction in the JIT-compiled code a local variable is used for the last time During garbage collection, the CLR can use this data to determine if a reference on the stack is still a root reference or not This precise definition of a root reference is an important optimization of the GC A single root reference can be expensive, because it can be the root of a large graph of objects The longer the memory of the objects of such a large graph is not reclaimed, the more garbage collections are necessary On the other hand, this optimization can have side effects that must be discussed here One of these problems is related to debugging of managed code; another problem caused by this optimization is the finalization timing problem.

If we assume that there is no index on the BIDS.ITEM_ID, the Oracle database handles this SQL statement like so:

under IIS (Internet Information Services) if IIS is installed and configured. If IIS 6 is installed, make sure to configure .NET 2.0 to be the default version for IIS to use. Visual Studio will prompt you to convert the project to .NET 2.0 if this is not done.

SELECT STATEMENT () NESTED LOOPS () TABLE ACCESS (BY INDEX ROWID ITEMS) INDEX (UNIQUE SCAN) ITEM_PK TABLE ACCESS (FULL) BIDS

If you add an index on the ITEM_ID column for the BIDS table, you ll see the query plan for our SQL statement change as follows: