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In some cases, queries that have been parallelized can perform more poorly than the same query running in a serial fashion. The easiest way to determine whether parallelism is causing system performance issues is to follow the normal performance tuning procedures described in 8, and look for CXPacket waits. If a specific SPID is experiencing CXPacket waits, run the query above and note the statement that is executing on that SPID. If it is determined that a specific statement or batch is causing a problem with CXPacket waits, use the MAXDOP 1 query option for that batch and execute it again to see if it performs better. As discussed earlier in this appendix, all user access to data in SQL Server occurs through the buffer cache. When a query is executed, the query engine first checks to see whether the data needed is already present in the buffer cache. If it isn t present, a request is made for the storage engine to read the data into buffer cache. Because the buffer cache is a finite resource, SQLOS must manage the buffer cache very carefully. Developers can assist SQLOS by controlling how their applications access data (for example, group access to similar objects as much as possible), which can help minimize data movement within the buffer cache. SQLOS provides a mechanism in the form of the sys.dm_os_buffer_descriptors DMV that enables developers to peer into buffer cache and determine which objects currently have pages in buffer cache. The following query will provide a list of all objects and the number of pages from that object currently in buffer cache:

At the end of a unit of work, all the modifications you made have to be synchronized with the database through SQL DML statements. This process is called flushing of the persistence context. Flushing the persistence context The Hibernate Session implements write-behind. Changes to persistent objects made in the scope of a persistence context aren t immediately propagated to the database. This allows Hibernate to coalesce many changes into a minimal number of database requests, helping minimize the impact of network latency. Another excellent side-effect of executing DML as late as possible, toward the end of the transaction, is shorter lock durations inside the database.

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SELECT count(*)AS cached_pages_count ,name ,index_id FROM sys.dm_os_buffer_descriptors AS bd INNER JOIN ( SELECT object_name(object_id) AS name ,index_id ,allocation_unit_id FROM sys.allocation_units AS au INNER JOIN sys.partitions AS p ON au.container_id = p.hobt_id AND (au.type = 1 OR au.type = 3) UNION ALL SELECT object_name(object_id) AS name ,index_id, allocation_unit_id FROM sys.allocation_units AS au INNER JOIN sys.partitions AS p ON au.container_id = p.hobt_id AND au.type = 2 ) AS obj ON bd.allocation_unit_id = obj.allocation_unit_id WHERE database_id = db_id() GROUP BY name, index_id ORDER BY cached_pages_count DESC;

In this practice, you will configure printer pooling and configure a second logical printer to a single network-attached printer.

For example, if a single property of an object is changed twice in the same persistence context, Hibernate needs to execute only one SQL UPDATE. Another example of the usefulness of write-behind is that Hibernate is able to take advantage of the JDBC batch API when executing multiple UPDATE, INSERT, or DELETE statements. The synchronization of a persistence context with the database is called flushing. Hibernate flushes occur at the following times:

When a Transaction on the Hibernate API is committed Before a query is executed When the application calls session.flush() explicitly

The output of this query is shown in Figure B-11.

Flushing the Session state to the database at the end of a unit of work is required in order to make the changes durable and is the common case Note that automatic flushing when a transaction is committed is a feature of the Hibernate API! Committing a transaction with the JDBC API doesn t trigger a flush Hibernate doesn t flush before every query If changes are held in memory that would affect the results of the query, Hibernate synchronizes first by default You can control this behavior by explicitly setting the Hibernate FlushMode via a call to sessionsetFlushMode() The default flush mode is FlushModeAUTO and enables the behavior described previously If you chose FlushModeCOMMIT, the persistence context isn t flushed before query execution (it s flushed only when you call Transactioncommit() or Sessionflush() manually).

5-19

Figure B-11

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