-- SQL Server 2008 and R2 Memory Related Queries
-- By Glenn Berry Oct 2010
http://glennberrysqlperformance.spaces.live.com/
-- Twitter: GlennAlanBerry
-- Link:
-- Instance Level queries
-- Good basic information about memory amounts and state (SQL 2008 and 2008 R2)
SELECT total_physical_memory_kb, available_physical_memory_kb,
total_page_file_kb, available_page_file_kb,
system_memory_state_desc
FROM sys.dm_os_sys_memory;
-- You want to see "Available physical memory is high"
-- SQL Server Process Address space info (SQL 2008 and 2008 R2)
--(shows whether locked pages is enabled, among other things)
SELECT physical_memory_in_use_kb,locked_page_allocations_kb,
page_fault_count, memory_utilization_percentage,
available_commit_limit_kb, process_physical_memory_low,
process_virtual_memory_low
FROM sys.dm_os_process_memory;
-- You want to see 0 for process_physical_memory_low
-- You want to see 0 for process_virtual_memory_low
-- Page Life Expectancy (PLE) value for default instance (SQL 2005, 2008 and 2008 R2)
SELECT cntr_value AS [Page Life Expectancy]
FROM sys.dm_os_performance_counters
WHERE OBJECT_NAME = N'SQLServer:Buffer Manager' -- Modify this if you have named instances
AND counter_name = N'Page life expectancy';
-- PLE is a good measurement of memory pressure.
-- Higher PLE is better. Below 300 is generally bad.
-- Watch the trend, not the absolute value.
-- Get total buffer usage by database for current instance (SQL 2005, 2008 and 2008 R2)
-- Note: This is a fairly expensive query
SELECT DB_NAME(database_id) AS [Database Name],
COUNT(*) * 8/1024.0 AS [Cached Size (MB)]
FROM sys.dm_os_buffer_descriptors
WHERE database_id > 4 -- system databases
AND database_id <> 32767 -- ResourceDB
GROUP BY DB_NAME(database_id)
ORDER BY [Cached Size (MB)] DESC;
-- Helps determine which databases are using the most memory on an instance
-- Memory Clerk Usage for instance
-- Look for high value for CACHESTORE_SQLCP (Ad-hoc query plans)
-- (SQL 2005, 2008 and 2008 R2)
SELECT TOP(20) [type], [name], SUM(single_pages_kb) AS [SPA Mem, Kb]
FROM sys.dm_os_memory_clerks
GROUP BY [type], [name]
ORDER BY SUM(single_pages_kb) DESC;
-- CACHESTORE_SQLCP SQL Plans These are cached SQL statements or batches that aren't in
-- stored procedures, functions and triggers
-- CACHESTORE_OBJCP Object Plans These are compiled plans for stored procedures,
-- functions and triggers
-- CACHESTORE_PHDR Algebrizer Trees An algebrizer tree is the parsed SQL text that
-- resolves the table and column names
-- Find single-use, ad-hoc queries that are bloating the plan cache
SELECT [text], cp.size_in_bytes
FROM sys.dm_exec_cached_plans AS cp
CROSS APPLY sys.dm_exec_sql_text(plan_handle)
WHERE cp.cacheobjtype = N'Compiled Plan'
AND cp.objtype = N'Adhoc'
AND cp.usecounts = 1
ORDER BY cp.size_in_bytes DESC;
-- Gives you the text and size of single-use ad-hoc queries that waste space in the plan cache
-- Enabling 'optimize for ad hoc workloads' for the instance can help (SQL Server 2008 and 2008 R2 only)
-- Enabling forced parameterization for the database can help, but test first!
-- Database level queries (switch to your database)
--USE YourDatabaseName;
--GO
-- Breaks down buffers used by current database by object (table, index) in the buffer cache
-- (SQL 2008 and 2008 R2) Note: This is a fairly expensive query
SELECT OBJECT_NAME(p.[object_id]) AS [ObjectName],
p.index_id, COUNT(*)/128 AS [Buffer size(MB)], COUNT(*) AS [BufferCount],
p.data_compression_desc AS [CompressionType]
FROM sys.allocation_units AS a
INNER JOIN sys.dm_os_buffer_descriptors AS b
ON a.allocation_unit_id = b.allocation_unit_id
INNER JOIN sys.partitions AS p
ON a.container_id = p.hobt_id
WHERE b.database_id = CONVERT(int,DB_ID())
AND p.[object_id] > 100
GROUP BY p.[object_id], p.index_id, p.data_compression_desc
ORDER BY [BufferCount] DESC;
-- Top Cached SPs By Total Logical Reads (SQL 2008 and 2008 R2). Logical reads relate to memory pressure
SELECT TOP(25) p.name AS [SP Name], qs.total_logical_reads AS [TotalLogicalReads],
qs.total_logical_reads/qs.execution_count AS [AvgLogicalReads],qs.execution_count,
ISNULL(qs.execution_count/DATEDIFF(Second, qs.cached_time, GETDATE()), 0) AS [Calls/Second],
qs.total_elapsed_time, qs.total_elapsed_time/qs.execution_count
AS [avg_elapsed_time], qs.cached_time
FROM sys.procedures AS p
INNER JOIN sys.dm_exec_procedure_stats AS qs
ON p.[object_id] = qs.[object_id]
WHERE qs.database_id = DB_ID()
ORDER BY qs.total_logical_reads DESC;
-- This helps you find the most expensive cached stored procedures from a memory perspective
-- You should look at this if you see signs of memory pressure
