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The following policies are located in the Computer Configuration, Windows Settings, Security Settings, Local Policies, Audit Policy node of Group Policy Object Editor (or the Local Security Policy snap-in). You can configure auditing for successful or failed events.

This setting forces Hibernate to retrieve a snapshot of the current database state using an SQL SELECT, enabling the subsequent UPDATE to be avoided if the state of the in-memory Item is the same. You trade the inconvenient UPDATE for an additional SELECT. A Hibernate annotation enables the same behavior:

Description Rate at which pages are read from or written to disk to resolve hard page faults Rate at which bytes are sent and received for the local connection Rate at which read and write operations are performed for the physical disk selected in the instance list box Average number of read and write requests that were queued for the sample interval Total amount of memory the server is consuming Number of unrestricted full table or index scans Percentage of pages that were found in the buffer pool without having to incur a read from the disk Total number of log growths for the database specified in the Instances list box Percentage of space used by the log for the database specified in the Instances list box Number of transactions started for the database specified in the Instances list box Number of users connected to SQL Server Average wait time for waiting latch requests Average wait time for waiting lock requests Number of lock requests that were forced to wait for the lock to be granted

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@Entity @org.hibernate.annotations.Entity(selectBeforeUpdate = true) public class Item { ... }

PhysicalDisk\Avg. Disk Queue Length SQL Instance:Memory Manager\Total Server Memory SQL Instance:Access Methods\Full Scans/sec SQL Instance:Buffer Manager\Buffer Cache Hit Ratio SQL Instance:Databases\Log Growths SQL Instance:Databases\Percent Log Used SQL Instance:Databases\Transactions/sec SQL Instance:General Statistics\User Connections SQL Instance:Latches\Average Latch Wait Time SQL Instance:Locks\Average Wait Time SQL Instance:Locks\Lock Waits/sec

Before you try to map a legacy scheme, note that the SELECT before an update only retrieves the state of the entity instance in question. No collections or associated instances are eagerly fetched, and no prefetching optimization is active. If you start enabling selectBeforeUpdate for many entities in your system, you ll probably find that the performance issues introduced by the nonoptimized selects are problematic. A better strategy uses merging instead of reattachment. Hibernate can then apply some optimizations (outer joins) when retrieving database snapshots. We ll talk about the differences between reattachment and merging later in the book in more detail. Let s summarize our discussion of legacy data models: Hibernate offers several strategies to deal with (natural) composite keys and inconvenient columns easily. Before you try to map a legacy schema, our recommendation is to carefully examine whether a schema change is possible. In our experience, many developers immediately dismiss database schema changes as too complex and time-consuming and look for a Hibernate solution. This sometimes isn t justified, and you

Audit Account Logon Events This policy audits each instance of user logon that involves domain controller authentication. For domain controllers, this policy is defined in the Default Domain Controllers GPO. Note, first, that this policy will

should consider schema evolution a natural part of your schema s lifecycle. If tables change, then a data export, some transformation, and an import may solve the problem. One day of work may save many days in the long run. Legacy schemas often also require customization of the SQL generated by Hibernate, be it for data manipulation (DML) or schema definition (DDL).

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SQL started its life in the 1970s but wasn t (ANSI) standardized until 1986. Although each update of the SQL standard has seen new (and many controversial) features, every DBMS product that supports SQL does so in its own unique

SQL Instance:Memory Manager\Memory Grants Number of processes waiting for a workspace Pending memory to be granted

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