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This JPQL statement will update all Sellers to a Gold status with the creation date specified in one fell swoop. If 10,000 sellers meet this criterion, executing this in one SQL statement instead of 10,000 is a huge performance improvement. Avoiding association tables in one-to-many relationships Association tables are commonly used to store unidirectional, one-to-many relationships. This is supported in EJB 3 with the @JoinTable annotation. Using an association table will require extra SQL statements to manage the relationship, as well as unnecessary JOINs between the base tables and association tables. You can gain some performance benefit by avoiding association tables.

13.2.4 Improving query performance Even trivial applications can make extensive use of queries. When using EJB 3, you write queries in JPQL and they are translated to SQL. Although you develop in JPQL, you can take certain actions to ensure that the corresponding queries will perform well. DBAs can certainly play a big part in helping improve queries. You may also be interested in enabling a higher level of logging in your persistence provider to expose and capture the generated SQL statements, and run them through a tuning utility provided by your database vendor. This can help you determine whether the SQL can be improved. Certain databases provide an automatic SQL tuning utility that provides suggestions for improving the SQL executed by an application. You can work with your DBA to use such tools and get their recommendations on how to improve query performance. There is no magic sequence of steps that address all query issues, but we ll discuss some of the more common scenarios.

elements take responsibility for describing different levels of detail. For example, the <message> element is a detailed listing of the types that factor into a given message. On the other hand, the <operation> element simply lists the messages that factor into a given operation without going into any detail as to what these messages look like. This additional information would be unnecessary because the <message> element already does an excellent job of documenting the types that factor into a given message. This division of responsibility makes the WSDL document very efficient but at the same time hard to read, because you have to look in several places to assemble the full details of the documented Web service. But if you keep in mind that this is the approach that the WSDL document is following, you will find the document much easier to understand.

Avoiding full-table scans Unless your entity is mapped to a very small table, you must avoid using SELECT statements that perform full-table scans. For example, you can retrieve all items in a query like this:

Since these are two different objects, ReferenceEquals will return false Boxing often occurs silently under the hood In the following code, 1,000,000 boxed objects of the value type System::DateTime from the FCL are created: // boxing2cpp // compileWith cl /clr boxing2cpp using namespace System; void f(DateTime^ dt) { Console::WriteLine(dt->ToLongDateString()); }.

Next, you retrieve the returned collection, iterate through the collection, and perform one or more operations on the resulting data. The persistence provider will generate the following SQL:

There are two problems here. First, this code will retrieve and bring in a lot of rows into the middle tier and consume a lot of memory. Second, it will cause a FULL TABLE SCAN in your database and the query will be very slow. Your DBA will advise you to avoid such SQL. Realistically, the number of available items you want is much less than the total number of items in your database. You must utilize the full potential of database filtering by changing your query to limit the number of rows retrieved as follows:

SELECT i FROM Item i WHERE i.status = "Available"