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I think the best way to make my point is by using an example. * Physical reads metrics are available when using STATISTICS IO and from SQL Server DMVs. Physical reads are the real cause of pain as far as performance is concerned because storage subsystems are unfortunately (still) inherently slow, as opposed to logical reads that occur in the super-fast modern memory modules. Depending on the current content of the cache, the same query or batch may or may not trigger a physical read. I assume that this has to do with the fact that physical reads are common to all currently (and recently) executing batches on the server and therefore are not truly assigned to a specific event, even though they are always triggered by a specific event. It is important to remember that SQL Trace reads are logical reads and not physical reads. If the page is currently in the cache, no physical read is generated the buffer cache simply uses the page already in memory.' If the page is not currently in the buffer cache, a physical read is then performed to read the page into the buffer cache. A logical read occurs every time the database engine requests a page from the buffer cache. Here is a quote from a Microsoft white paper about I/O architecture that clearly defines logical and physical reads: 'The I/O from an instance of SQL Server is divided into logical and physical I/O. Although this may prove to be true in many cases, in this article I want to draw your attention to the fact that 'it ain't necessarily so' ? sometimes the opposite is true.ДЇirst, we need to understand what aВ ReadВ really is. A common misconception I've encountered in talking with numerous DBAs is that 'reducing the number of reads a query performs is an important aspect of improving its performance'. These are in fact the only true performance metrics available for a SQL Server trace event. The most common data columns used for this purpose are Duration,В CPU,В WritesВ and Reads. I am sure you have all used SQL traces to evaluate the performance of queries and batches. In this article, we will examine this counter's true meaning and provide examples that prove it can sometimes be quite misleading.

Obtain existing and deleted data: apps, passwords, emails, call history, SMS, contacts, calendar, media В¬les, geotags, location information, GPS В¬xes etc.SQL Server trace, the most common tool DBAs use to evaluate query performance, provides the 'logical reads' counter on which many DBAs rely for evaluating a query's I/O performance.

#Physical vs logical ufed reader portable

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