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Several scenarios cause the performance of SQL Server to diminish In some cases, there might be multiple issues that contribute to a problem Following are issues commonly encountered with SQL Server: Inefficient queries or slow-running queries These can be caused by missing indexes because the absence of an index forces the query optimizer to perform a table scan Table scans are expensive in terms of resources, and you want to avoid them if at all possible Another possibility is that the table(s) is using an inefficient query plan This might occur when there are changes to the statistical information, but it can also occur when query hints are utilized Query hints override the query plan selected by the query optimizer, and generally, this is not a good idea Query hints should only be used by experienced database developers in situations where there is a compelling reason to use one.

Note how you use the <return-join> element to bind an alias to a collection property of the entity, effectively linking both aliases together. Further note that this technique also works if you d like to eager-fetch one-to-one and many-to-one associated entities in the original query. In this case, you may want an inner join if the associated entity is mandatory (the foreign key can t be NULL) or an outer join if the target is optional. You can retrieve many single-ended associations eagerly in one query; however, if you (outer-) join more than one collection, you create a Cartesian product, effectively multiplying all collection rows. This can generate huge results that may be slower than two queries. You ll meet this limitation again when we discuss fetching strategies in chapter 13. As mentioned earlier, you ll see more SQL options for object loading later in the book. We now discuss customization of insert, update, and delete operations, to complete the CRUD basics. Custom insert, update, and delete Hibernate produces all trivial CRUD SQL at startup. It caches the SQL statements internally for future use, thus avoiding any runtime cost of SQL generation for the most common operations. You ve seen how you can override the R of CRUD, so let s do the same for CUD. For each entity or collection, you can define custom CUD SQL statements inside the <sql-insert>, <sql-delete>, and <sql-update> element, respectively:

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You might also check to see whether the table(s) contains too much data The database might need to be partitioned Typically, it might take millions or billions of records before significant delays are experienced A final possibility is that the database was designed poorly If tables are not normalized and no relationships exist between related tables, you could experience delays in returning data Excessive blocking This can occur when the wrong isolation level is used for a transaction Transactions are utilized when there is a need to update data and prevent others from modifying the data at the same time There are several types of isolation levels allowed by SQL Server Read uncommitted is the least restrictive; serializable is the most restrictive If a transaction is held open for longer than necessary, it can cause delays for an application with high activity.

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<class name="User" table="USERS"> <id name="id" column="USER_ID"... ... <join table="BILLING_ADDRESS" optional="true"> <key column="USER_ID"/> <component name="billingAddress" class="Address"> <property ... </component> <sql-insert> insert into BILLING_ADDRESS (STREET, ZIPCODE, CITY, USER_ID) values ( , , , ) </sql-insert> <sql-update>...</sql-update> <sql-delete>...</sql-delete> </join> <sql-insert> insert into USERS (FIRSTNAME, LASTNAME, USERNAME, "PASSWORD", EMAIL, RANKING, IS_ADMIN, CREATED, DEFAULT_BILLING_DETAILS_ID, HOME_STREET, HOME_ZIPCODE, HOME_CITY, USER_ID) values ( , , , , , , , , , , , , ) </sql-insert> <sql-update>...</sql-update> <sql-delete>...</sql-delete> </class>

This mapping example may look complicated, but it s really simple. You have two tables in a single mapping: the primary table for the entity, USERS, and the secondary table BILLING_ADDRESS from your legacy mapping earlier in this chapter. Whenever you have secondary tables for an entity, you have to include them in any custom SQL hence the <sql-insert>, <sql-delete>, and <sql-update> elements in both the <class> and the <join> sections of the mapping. The next issue is the binding of arguments for the statements. For CUD SQL customization, only positional parameters are supported at the time of writing. But what is the right order for the parameters There is an internal order to how Hibernate binds arguments to SQL parameters. The easiest way to figure out the right SQL statement and parameter order is to let Hibernate generate one for

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