Wednesday, March 14, 2012

Logical Reads in SQL Server 2008

Logical Reads count can be get by using follwoing ways
 Below are the ways to check logical Reads:
 1. set statistics io on
 2. sys.dm_exec_query_Stats by executing the below statement we can find detailed info about reads/writes select * from sys.dm_exec_query_Stats
 3. SQL Profiler: by executing the sql profiler on that database we can find out logical reads.. there are some other SQL DMV/F which also help us to get logical reads...

Summary Info: 
Logical Reads : Reading Data pages from Cache
Physical Reads : Reading Data pages from Hard Disk
Buffer Cach Hit Ratio: logical reads – physical reads)/logical read * 100%
note: Buffer cach hit ratio can be easily found using performance moniter...

Detailed Info: Logical Reads: Logical read indicates total number of data pages needed to be accessed from data cache to process query.
It is very possible that logical read will access same data pages many times, so count of logical read value may be higher than actual number of pages in a table. Usually the best way to reduce logical read is to apply correct index or to rewrite the query.

 Physical Reads Physical read indicates total number of data pages that are read from disk. In case no data in data cache, the physical read will be equal to number of logical read. And usually it happens for first query request. And for subsequent same query request the number will be substantially decreased because the data pages have been in data cache.

Buffer Cash Hit Ratio Buffer hit ratio will be calculated based on these two kinds of read as the following formula: (logical reads – physical reads)/logical read * 100%.
The high buffer hit ratio (if possible to near 100%) indicates good database performance on SQL Server level.
So use information from physical read and buffer hit ratio to measure performance in server level and logical read to measure individual query level Execess of the Logical Reads tends high memory Usage
There are some ways by which we can Reduce Logical Reads:
1. Improper/Useless/Insufficient Indexes: Indexes should be build on the basis of data access or retrieval process if any of the indexes is build on the columns which are not used in a query will leads to High Logical reads and will degrade the performance while reads and writing the data....
2.Poor Fill Factor/Page Density: Page use should should not be very less. otherwise large number of page will be used for small amount of data which will also leads to High Logical Reads....
 3.Wide Indexes: Indexing on the large number of columns will leads to high logical reads....
 4. Index scanning: if query is leads to index scanning on the table then logical reads will be high...

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