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Automatic dirty checking Persistent instances are managed in a persistence context their state is synchronized with the database at the end of the unit of work When a unit of work completes, state held in memory is propagated to the database by the execution of SQL INSERT, UPDATE, and DELETE statements (DML) This procedure may also occur at other times For example, Hibernate may synchronize with the database before execution of a query This ensures that queries are aware of changes made earlier during the unit of work Hibernate doesn t update the database row of every single persistent object in memory at the end of the unit of work ORM software must have a strategy for detecting which persistent objects have been modified by the application We call this automatic dirty checking An object with modifications that have not yet been propagated to the database is considered dirty.

The primary instance in which you should consider utilizing soft-NUMA is when you suspect that there is an I/O-related performance problem when running applications but you also believe that your I/O subsystem is properly configured. This is a common problem among high-volume systems that are configured to utilize Storage Area Networks (SANs). Each NUMA node has its own I/O thread that is responsible for reading and writing data on the disk and another thread, known as a lazy writer, that is responsible for managing the state of the SQL Server buffer cache. For systems in which NUMA is not automatically detected by SQLOS, configuring soft-NUMA can significantly affect I/O performance. Another reason to consider soft-NUMA is for multiple-instance support. Each instance of SQL Server on a single machine shares NUMA nodes by default, so when dealing with multiple instances and more than 8 GB on a machine, using soft-NUMA can lead to performance gains. Configuring soft-NUMA support in SQL Server 2005 is a two-step process. The first step is setting the processor affinity mask. A processor affinity mask is a structure that is used to bind a specific processor to a specific memory node. The second step is adding a registry value to map NUMA nodes onto specific processors. Configuring soft-NUMA support also requires an understanding of binary and hexadecimal math. For example, if you have a system with eight processors and two instances of SQL Server 2005 running, and you want to assign four processors to each instance, you would set the processor affinity of the first instance to 15 decimal (00001111 binary), and the processor affinity of the second instance to 240 decimal (11110000 binary). Processor affinity on the first instance can be set with the sp_configure stored procedure as follows:

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Again, this state isn t visible to the application With transparent transaction-level write-behind, Hibernate propagates state changes to the database as late as possible but hides this detail from the application By executing DML as late as possible (toward the end of the database transaction), Hibernate tries to keep lock-times in the database as short as possible (DML usually creates locks in the database that are held until the transaction completes) Hibernate is able to detect exactly which properties have been modified so that it s possible to include only the columns that need updating in the SQL UPDATE statement This may bring some performance gains However, it s usually not a significant difference and, in theory, could harm performance in some environments.

EXEC sp_configure 'show advanced options',1 RECONFIGURE GO EXEC sp_configure 'affinity mask',15; Processor affinity on the second instance can be set as follows: EXEC sp_configure 'show advanced options',1 RECONFIGURE GO EXEC sp_configure 'affinity mask',240;

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