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Microsoft made this change with a noble goal: to increase security by restricting the extent to which resources are vulnerable by default when they are shared. Many administrators have shared a folder then forgotten to check NTFS permis sions only to discover, too late, that a permission was too open. By configuring the share with read permission, Microsoft helps administrators avoid this prob lem. Unfortunately, most organizations avoid share permissions, due to their lim itations, and focus instead on providing security through NTFS permissions. Now administrators must remember to configure share permissions (to allow Everyone Full Control) to return to best practices laid out by their organizations.

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A dirty read occurs if a one transaction reads changes made by another transaction that has not yet been committed. This is dangerous, because the changes made by the other transaction may later be rolled back, and invalid data may be written by the first transaction, see figure 10.3. An unrepeatable read occurs if a transaction reads a row twice and reads different state each time. For example, another transaction may have written to the row and committed between the two reads, as shown in figure 10.4. A special case of unrepeatable read is the second lost updates problem. Imagine that two concurrent transactions both read a row: One writes to it and commits, and then the second writes to it and commits. The changes made by the first writer are lost. This issue is especially relevant if you think about application

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Scatter-gather capabilities are hardware specific. When the hardware does not support scatter-gather capabilities, the operating system must intervene and issue separate I/O requests. To maximize SQL Server I/O performance, ensure that your subsystem natively supports scatter-gather I/O operations.

conversations that need several database transactions to complete. We ll explore this case later in more detail. A phantom read is said to occur when a transaction executes a query twice, and the second result set includes rows that weren t visible in the first result set or rows that have been deleted. (It need not necessarily be exactly the same query.) This situation is caused by another transaction inserting or deleting rows between the execution of the two queries, as shown in figure 10.5.

Certification Objectives There is a third perspective on share permissions: certification objectives. Although share permissions are typically implemented in accordance with strict enterprise policies (Everyone is allowed Full Control), the fact that share permis sions might one day deviate from that setting, and the possibility that data might be stored on a FAT or FAT32 volume, for which share permissions are the only

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Now that you understand all the bad things that can occur, we can define the transaction isolation levels and see what problems they prevent. ANSI transaction isolation levels The standard isolation levels are defined by the ANSI SQL standard, but they aren t peculiar to SQL databases. JTA defines exactly the same isolation levels, and you ll use these levels to declare your desired transaction isolation later. With increased levels of isolation comes higher cost and serious degradation of performance and scalability:

pages for each sweep to return to the free list. If the page reference count has dropped to zero, the page is eligible for return to the free list. If the page is marked dirty, the log records and page date will be flushed to disk. Thus, it is possible for the lazy writer to flush 16 * 16 pages to disk in a single sweep. This is efficient because many of the pages will remain in the SQL Server buffer pool but are now in a clean state. I/O is done in the background from the primary SPID. When the lazy writer needs additional buffers for the free list, the buffers might not need to be flushed to disk, but are returned to the free list. Checkpoint The SQL Server 2005 checkpoint process periodically sweeps the buffer pool for buffers that contain pages from a specified database and flushes all dirty buffers to stable media. This makes recovery quicker because roll-forward operations have less physical work to complete.

A system that permits dirty reads but not lost updates is said to operate in read uncommitted isolation. One transaction may not write to a row if another uncommitted transaction has already written to it. Any transaction may read any row, however. This isolation level may be implemented in the database-management system with exclusive write locks.

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