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SQL Server 2008 and R2 Diagnostic Information Queries by Glenn Berry (updated December 17th)

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Passing on the good ole information that makes our dba lives easier. THANK YOU TO GLENN!

-- SQL Server 2008 and R2 Diagnostic Information Queries -- Glenn Berry -- December 2012 -- Last Modified: December 17, 2012 -- http://sqlserverperformance.wordpress.com/ -- http://sqlskills.com/blogs/glenn/ -- Twitter: GlennAlanBerry -- Note: A number of these queries will only work on SQL Server 2008 R2 SP1 or later -- They are all noted in the instructions -- Instance level queries ******************************* -- SQL and OS Version information for current instance (Query 1) SELECT @@SERVERNAME AS [Server Name], @@VERSION AS [SQL Server and OS Version Info]; -- SQL Server 2008 RTM is considered an "unsupported service pack" as of April 13, 2010 -- SQL Server 2008 SP1 is considered an "unsupported service pack" as of September 19, 2011 -- SQL Server 2008 RTM Builds SQL Server 2008 SP1 Builds SQL Server 2008 SP2 Builds SQL Server 2008 SP3 Builds -- Build Description Build Description Build Description Build Description -- 1600 Gold RTM -- 1763 RTM CU1 -- 1779 RTM CU2 -- 1787 RTM CU3 --> 2531 SP1 RTM -- 1798 RTM CU4 --> 2710 SP1 CU1 -- 1806 RTM CU5 --> 2714 SP1 CU2 -- 1812 RTM CU6 --> 2723 SP1 CU3 -- 1818 RTM CU7 --> 2734 SP1 CU4 -- 1823 RTM CU8 --> 2746 SP1 CU5 -- 1828 RTM CU9 --> 2757 SP1 CU6 -- 1835 RTM CU10 --> 2766 SP1 CU7 -- RTM Branch Retired --> 2775 SP1 CU8 --> 4000 SP2 RTM -- 2789 SP1 CU9 -- 2799 SP1 CU10 -- 2804 SP1 CU11 --> 4266 SP2 CU1 -- 2808 SP1 CU12 --> 4272 SP2 CU2 -- 2816 SP1 CU13 --> 4279 SP2 CU3 -- 2821 SP1 CU14 --> 4285 SP2 CU4 --> 5500 SP3 RTM -- 2847 SP1 CU15 --> 4316 SP2 CU5 -- 2850 SP1 CU16 --> 4321 SP2 CU6 --> 5766 SP3 CU1 -- SP1 Branch Retired --> 4323 SP2 CU7 --> 5768 SP3 CU2 -- 4326 SP2 CU8 --> 5770 SP3 CU3 -- 4330 SP2 CU9 --> 5775 SP3 CU4 -- 4332 SP2 CU10 --> 5785 SP3 CU5 -- 4333 SP2 CU11 --> 5788 SP3 CU6 -- SP2 Branch Retired 5794 SP3 CU7 -- 5828 SP3 CU8 -- The SQL Server 2008 builds that were released after SQL Server 2008 was released -- http://support.microsoft.com/kb/956909 -- The SQL Server 2008 builds that were released after SQL Server 2008 Service Pack 1 was released -- http://support.microsoft.com/kb/970365 -- -- The SQL Server 2008 builds that were released after SQL Server 2008 Service Pack 2 was released -- http://support.microsoft.com/kb/2402659 -- -- The SQL Server 2008 builds that were released after SQL Server 2008 Service Pack 3 was released -- http://support.microsoft.com/kb/2629969 -- SQL Server 2008 R2 RTM was considered an "unsupported service pack" as of July 12, 2012 -- SQL Server 2008 R2 Builds SQL Server 2008 R2 SP1 Builds SQL Server 2008 R2 SP2 Builds -- Build Description Build Description Build Description -- 10.50.1092 August 2009 CTP2 -- 10.50.1352 November 2009 CTP3 -- 10.50.1450 Release Candidate -- 10.50.1600 RTM -- 10.50.1702 RTM CU1 -- 10.50.1720 RTM CU2 -- 10.50.1734 RTM CU3 -- 10.50.1746 RTM CU4 -- 10.50.1753 RTM CU5 -- 10.50.1765 RTM CU6 ---> 10.50.2500 SP1 RTM -- 10.50.1777 RTM CU7 -- 10.50.1797 RTM CU8 ---> 10.50.2769 SP1 CU1 -- 10.50.1804 RTM CU9 ---> 10.50.2772 SP1 CU2 -- 10.50.1807 RTM CU10 ---> 10.50.2789 SP1 CU3 -- 10.50.1809 RTM CU11 ---> 10.50.2796 SP1 CU4 -- 10.50.1810 RTM CU12 ---> 10.50.2806 SP1 CU5 ---> 10.50.4000 SP2 RTM -- 10.50.1815 RTM CU13 ---> 10.50.2811 SP1 CU6 -- 10.50.1817 RTM CU14 ---> 10.50.2817 SP1 CU7 ---> 10.50.4260 SP2 CU1 -- RTM Branch Retired ---> 10.50.2822 SP1 CU8 ---> 10.50.4263 SP2 CU2 -- 10.50.2866 SP1 CU9 ---> 10.50.4266 SP2 CU3 -- 10.50.2868 SP1 CU10 ---> 10.50.4270 SP2 CU4 -- The SQL Server 2008 R2 builds that were released after SQL Server 2008 R2 was released -- http://support.microsoft.com/kb/981356 -- The SQL Server 2008 R2 builds that were released after SQL Server 2008 R2 Service Pack 1 was released -- http://support.microsoft.com/kb/2567616 -- The SQL Server 2008 R2 builds that were released after SQL Server 2008 R2 Service Pack 2 was released -- http://support.microsoft.com/kb/2730301 -- When was SQL Server installed (Query 2) SELECT @@SERVERNAME AS [Server Name], createdate AS [SQL Server Install Date] FROM sys.syslogins WITH (NOLOCK) WHERE [sid] = 0x010100000000000512000000; -- Tells you the date and time that SQL Server was installed -- It is a good idea to know how old your instance is -- Get selected server properties (SQL Server 2008) (Query 3) SELECT SERVERPROPERTY('MachineName') AS [MachineName], SERVERPROPERTY('ServerName') AS [ServerName], SERVERPROPERTY('InstanceName') AS [Instance], SERVERPROPERTY('IsClustered') AS [IsClustered], SERVERPROPERTY('ComputerNamePhysicalNetBIOS') AS [ComputerNamePhysicalNetBIOS], SERVERPROPERTY('Edition') AS [Edition], SERVERPROPERTY('ProductLevel') AS [ProductLevel], SERVERPROPERTY('ProductVersion') AS [ProductVersion], SERVERPROPERTY('ProcessID') AS [ProcessID], SERVERPROPERTY('Collation') AS [Collation], SERVERPROPERTY('IsFullTextInstalled') AS [IsFullTextInstalled], SERVERPROPERTY('IsIntegratedSecurityOnly') AS [IsIntegratedSecurityOnly]; -- This gives you a lot of useful information about your instance of SQL Server -- Windows information (SQL Server 2008 R2 SP1 or greater) (Query 4) SELECT windows_release, windows_service_pack_level, windows_sku, os_language_version FROM sys.dm_os_windows_info WITH (NOLOCK) OPTION (RECOMPILE); -- Gives you major OS version, Service Pack, Edition, and language info for the operating system -- SQL Server Services information (SQL Server 2008 R2 SP1 or greater) (Query 5) SELECT servicename, startup_type_desc, status_desc, last_startup_time, service_account, is_clustered, cluster_nodename FROM sys.dm_server_services WITH (NOLOCK) OPTION (RECOMPILE); -- Tells you the account being used for the SQL Server Service and the SQL Agent Service -- Shows when they were last started, and their current status -- Shows whether you are running on a failover cluster -- SQL Server NUMA Node information (Query 6) SELECT node_id, node_state_desc, memory_node_id, online_scheduler_count, active_worker_count, avg_load_balance FROM sys.dm_os_nodes WITH (NOLOCK) WHERE node_state_desc <> N'ONLINE DAC' OPTION (RECOMPILE); -- Gives you some useful information about the composition -- and relative load on your NUMA nodes -- Hardware information from SQL Server 2008 and 2008 R2 (Query 7) -- (Cannot distinguish between HT and multi-core) SELECT cpu_count AS [Logical CPU Count], hyperthread_ratio AS [Hyperthread Ratio], cpu_count/hyperthread_ratio AS [Physical CPU Count], physical_memory_in_bytes/1048576 AS [Physical Memory (MB)], sqlserver_start_time --, affinity_type_desc -- (affinity_type_desc is only in 2008 R2) FROM sys.dm_os_sys_info WITH (NOLOCK) OPTION (RECOMPILE); -- Gives you some good basic hardware information about your database server -- Get System Manufacturer and model number from (Query 8) -- SQL Server Error log. This query might take a few seconds -- if you have not recycled your error log recently EXEC xp_readerrorlog 0,1,"Manufacturer"; -- This can help you determine the capabilities -- and capacities of your database server -- Get processor description from Windows Registry (Query 9) EXEC xp_instance_regread 'HKEY_LOCAL_MACHINE', 'HARDWARE\DESCRIPTION\System\CentralProcessor\0', 'ProcessorNameString'; -- Gives you the model number and rated clock speed of your processor(s) -- Your processors may be running at less that the rated clock speed due -- to the Windows Power Plan or hardware power management -- Get the current node name from your cluster nodes (Query 10) -- (if your database server is in a cluster) SELECT NodeName FROM sys.dm_os_cluster_nodes WITH (NOLOCK) OPTION (RECOMPILE); -- Knowing which node owns the cluster resources is critical -- Especially when you are installing Windows or SQL Server updates -- You will see no results if your instance is not clustered -- Get configuration values for instance (Query 11) SELECT name, value, value_in_use, [description] FROM sys.configurations WITH (NOLOCK) ORDER BY name OPTION (RECOMPILE); -- Focus on -- backup compression default -- clr enabled (only enable if it is needed) -- lightweight pooling (should be zero) -- max degree of parallelism (depends on your workload) -- max server memory (MB) (set to an appropriate value) -- optimize for ad hoc workloads (should be 1) -- priority boost (should be zero) -- SQL Server Registry information (SQL Server 2008 R2 SP1 or greater) (Query 12) SELECT registry_key, value_name, value_data FROM sys.dm_server_registry WITH (NOLOCK) OPTION (RECOMPILE); -- This lets you safely read some SQL Server related -- information from the Windows Registry -- Get information on location, time and size of any memory dumps from SQL Server (SQL Server 2008 R2 SP1 or greater) (Query 13) SELECT [filename], creation_time, size_in_bytes FROM sys.dm_server_memory_dumps WITH (NOLOCK) OPTION (RECOMPILE); -- This will not return any rows if you have -- not had any memory dumps (which is a good thing) -- File Names and Paths for TempDB and all user databases in instance (Query 14) SELECT DB_NAME([database_id])AS [Database Name], [file_id], name, physical_name, type_desc, state_desc, CONVERT( bigint, size/128.0) AS [Total Size in MB] FROM sys.master_files WITH (NOLOCK) WHERE [database_id] > 4 AND [database_id] <> 32767 OR [database_id] = 2 ORDER BY DB_NAME([database_id]) OPTION (RECOMPILE); -- Things to look at: -- Are data files and log files on different drives? -- Is everything on the C: drive? -- Is TempDB on dedicated drives? -- Is there only one TempDB data file? -- Are all of the TempDB data files the same size? -- Are there multiple data files for user databases? -- Volume info for all databases on the current instance (SQL Server 2008 R2 SP1 or greater) (Query 15) SELECT DB_NAME(f.database_id) AS [DatabaseName], f.file_id, vs.volume_mount_point, vs.total_bytes, vs.available_bytes, CAST(CAST(vs.available_bytes AS FLOAT)/ CAST(vs.total_bytes AS FLOAT) AS DECIMAL(18,3)) * 100 AS [Space Free %] FROM sys.master_files AS f WITH (NOLOCK) CROSS APPLY sys.dm_os_volume_stats(f.database_id, f.file_id) AS vs ORDER BY f.database_id OPTION (RECOMPILE); --Shows you the free space on the LUNs where you have database data or log files -- Recovery model, log reuse wait description, log file size, log usage size (Query 16) -- and compatibility level for all databases on instance SELECT db.[name] AS [Database Name], db.recovery_model_desc AS [Recovery Model], db.log_reuse_wait_desc AS [Log Reuse Wait Description], ls.cntr_value AS [Log Size (KB)], lu.cntr_value AS [Log Used (KB)], CAST(CAST(lu.cntr_value AS FLOAT) / CAST(ls.cntr_value AS FLOAT)AS DECIMAL(18,2)) * 100 AS [Log Used %], db.[compatibility_level] AS [DB Compatibility Level], db.page_verify_option_desc AS [Page Verify Option], db.is_auto_create_stats_on, db.is_auto_update_stats_on, db.is_auto_update_stats_async_on, db.is_parameterization_forced, db.snapshot_isolation_state_desc, db.is_read_committed_snapshot_on, db.is_auto_close_on, db.is_auto_shrink_on FROM sys.databases AS db WITH (NOLOCK) INNER JOIN sys.dm_os_performance_counters AS lu WITH (NOLOCK) ON db.name = lu.instance_name INNER JOIN sys.dm_os_performance_counters AS ls WITH (NOLOCK) ON db.name = ls.instance_name WHERE lu.counter_name LIKE N'Log File(s) Used Size (KB)%' AND ls.counter_name LIKE N'Log File(s) Size (KB)%' AND ls.cntr_value > 0 OPTION (RECOMPILE); -- Things to look at: -- How many databases are on the instance? -- What recovery models are they using? -- What is the log reuse wait description? -- How full are the transaction logs ? -- What compatibility level are they on? -- What is the Page Verify Option? -- Make sure auto_shrink and auto_close are not enabled! -- Get VLF Counts for all databases on the instance (Query 17) -- (adapted from Michelle Ufford) CREATE TABLE #VLFInfo (FileID int, FileSize bigint, StartOffset bigint, FSeqNo bigint, [Status] bigint, Parity bigint, CreateLSN numeric(38)); CREATE TABLE #VLFCountResults(DatabaseName sysname, VLFCount int); EXEC sp_MSforeachdb N'Use [?]; INSERT INTO #VLFInfo EXEC sp_executesql N''DBCC LOGINFO([?])''; INSERT INTO #VLFCountResults SELECT DB_NAME(), COUNT(*) FROM #VLFInfo; TRUNCATE TABLE #VLFInfo;' SELECT DatabaseName, VLFCount FROM #VLFCountResults ORDER BY VLFCount DESC; DROP TABLE #VLFInfo; DROP TABLE #VLFCountResults; -- High VLF counts can affect write performance -- and they can make database restores and recovery take much longer -- Calculates average stalls per read, per write, and per total input/output for each database file (Query 18) SELECT DB_NAME(fs.database_id) AS [Database Name], mf.physical_name, io_stall_read_ms, num_of_reads, CAST(io_stall_read_ms/(1.0 + num_of_reads) AS NUMERIC(10,1)) AS [avg_read_stall_ms],io_stall_write_ms, num_of_writes,CAST(io_stall_write_ms/(1.0+num_of_writes) AS NUMERIC(10,1)) AS [avg_write_stall_ms], io_stall_read_ms + io_stall_write_ms AS [io_stalls], num_of_reads + num_of_writes AS [total_io], CAST((io_stall_read_ms + io_stall_write_ms)/(1.0 + num_of_reads + num_of_writes) AS NUMERIC(10,1)) AS [avg_io_stall_ms] FROM sys.dm_io_virtual_file_stats(null,null) AS fs INNER JOIN sys.master_files AS mf WITH (NOLOCK) ON fs.database_id = mf.database_id AND fs.[file_id] = mf.[file_id] ORDER BY avg_io_stall_ms DESC OPTION (RECOMPILE); -- Helps you determine which database files on the entire instance have the most I/O bottlenecks -- This can help you decide whether certain LUNs are overloaded and whether you might -- want to move some files to a different location -- Get CPU utilization by database (adapted from Robert Pearl) (Query 19) WITH DB_CPU_Stats AS (SELECT DatabaseID, DB_Name(DatabaseID) AS [DatabaseName], SUM(total_worker_time) AS [CPU_Time_Ms] FROM sys.dm_exec_query_stats AS qs CROSS APPLY (SELECT CONVERT(int, value) AS [DatabaseID] FROM sys.dm_exec_plan_attributes(qs.plan_handle) WHERE attribute = N'dbid') AS F_DB GROUP BY DatabaseID) SELECT ROW_NUMBER() OVER(ORDER BY [CPU_Time_Ms] DESC) AS [row_num], DatabaseName, [CPU_Time_Ms], CAST([CPU_Time_Ms] * 1.0 / SUM([CPU_Time_Ms]) OVER() * 100.0 AS DECIMAL(5, 2)) AS [CPUPercent] FROM DB_CPU_Stats WHERE DatabaseID > 4 -- system databases AND DatabaseID <> 32767 -- ResourceDB ORDER BY row_num OPTION (RECOMPILE); -- Helps determine which database is using the most CPU resources on the instance -- Get total buffer usage by database for current instance (Query 20) -- This make take some time to run on a busy instance SELECT DB_NAME(database_id) AS [Database Name], COUNT(*) * 8/1024.0 AS [Cached Size (MB)] FROM sys.dm_os_buffer_descriptors WITH (NOLOCK) WHERE database_id > 4 -- system databases AND database_id <> 32767 -- ResourceDB GROUP BY DB_NAME(database_id) ORDER BY [Cached Size (MB)] DESC OPTION (RECOMPILE); -- Tells you how much memory (in the buffer pool) -- is being used by each database on the instance -- Clear Wait Stats -- DBCC SQLPERF('sys.dm_os_wait_stats', CLEAR); -- Isolate top waits for server instance since last restart or statistics clear (Query 21) WITH Waits AS (SELECT wait_type, wait_time_ms / 1000. AS wait_time_s, 100. * wait_time_ms / SUM(wait_time_ms) OVER() AS pct, ROW_NUMBER() OVER(ORDER BY wait_time_ms DESC) AS rn FROM sys.dm_os_wait_stats WITH (NOLOCK) WHERE wait_type NOT IN (N'CLR_SEMAPHORE',N'LAZYWRITER_SLEEP',N'RESOURCE_QUEUE',N'SLEEP_TASK', N'SLEEP_SYSTEMTASK',N'SQLTRACE_BUFFER_FLUSH',N'WAITFOR', N'LOGMGR_QUEUE',N'CHECKPOINT_QUEUE', N'REQUEST_FOR_DEADLOCK_SEARCH',N'XE_TIMER_EVENT',N'BROKER_TO_FLUSH',N'BROKER_TASK_STOP',N'CLR_MANUAL_EVENT', N'CLR_AUTO_EVENT',N'DISPATCHER_QUEUE_SEMAPHORE', N'FT_IFTS_SCHEDULER_IDLE_WAIT', N'XE_DISPATCHER_WAIT', N'XE_DISPATCHER_JOIN', N'SQLTRACE_INCREMENTAL_FLUSH_SLEEP', N'ONDEMAND_TASK_QUEUE', N'BROKER_EVENTHANDLER', N'SLEEP_BPOOL_FLUSH')) SELECT W1.wait_type, CAST(W1.wait_time_s AS DECIMAL(12, 2)) AS wait_time_s, CAST(W1.pct AS DECIMAL(12, 2)) AS pct, CAST(SUM(W2.pct) AS DECIMAL(12, 2)) AS running_pct FROM Waits AS W1 INNER JOIN Waits AS W2 ON W2.rn <= W1.rn GROUP BY W1.rn, W1.wait_type, W1.wait_time_s, W1.pct HAVING SUM(W2.pct) - W1.pct < 99 OPTION (RECOMPILE); -- percentage threshold -- Common Significant Wait types with BOL explanations -- *** Network Related Waits *** -- ASYNC_NETWORK_IO Occurs on network writes when the task is blocked behind the network -- *** Locking Waits *** -- LCK_M_IX Occurs when a task is waiting to acquire an Intent Exclusive (IX) lock -- LCK_M_IU Occurs when a task is waiting to acquire an Intent Update (IU) lock -- LCK_M_S Occurs when a task is waiting to acquire a Shared lock -- *** I/O Related Waits *** -- ASYNC_IO_COMPLETION Occurs when a task is waiting for I/Os to finish -- IO_COMPLETION Occurs while waiting for I/O operations to complete. -- This wait type generally represents non-data page I/Os. Data page I/O completion waits appear -- as PAGEIOLATCH_* waits -- PAGEIOLATCH_SH Occurs when a task is waiting on a latch for a buffer that is in an I/O request. -- The latch request is in Shared mode. Long waits may indicate problems with the disk subsystem. -- PAGEIOLATCH_EX Occurs when a task is waiting on a latch for a buffer that is in an I/O request. -- The latch request is in Exclusive mode. Long waits may indicate problems with the disk subsystem. -- WRITELOG Occurs while waiting for a log flush to complete. -- Common operations that cause log flushes are checkpoints and transaction commits. -- PAGELATCH_EX Occurs when a task is waiting on a latch for a buffer that is not in an I/O request. -- The latch request is in Exclusive mode. -- BACKUPIO Occurs when a backup task is waiting for data, or is waiting for a buffer in which to store data -- *** CPU Related Waits *** -- SOS_SCHEDULER_YIELD Occurs when a task voluntarily yields the scheduler for other tasks to execute. -- During this wait the task is waiting for its quantum to be renewed. -- THREADPOOL Occurs when a task is waiting for a worker to run on. -- This can indicate that the maximum worker setting is too low, or that batch executions are taking -- unusually long, thus reducing the number of workers available to satisfy other batches. -- CX_PACKET Occurs when trying to synchronize the query processor exchange iterator -- You may consider lowering the degree of parallelism if contention on this wait type becomes a problem -- Often caused by missing indexes or poorly written queries -- Signal Waits for instance (Query 22) SELECT CAST(100.0 * SUM(signal_wait_time_ms) / SUM (wait_time_ms) AS NUMERIC(20,2)) AS [%signal (cpu) waits], CAST(100.0 * SUM(wait_time_ms - signal_wait_time_ms) / SUM (wait_time_ms) AS NUMERIC(20,2)) AS [%resource waits] FROM sys.dm_os_wait_stats WITH (NOLOCK) OPTION (RECOMPILE); -- Signal Waits above 10-15% is usually a sign of CPU pressure -- Resource waits are non-CPU related waits -- Get logins that are connected and how many sessions they have (Query 23) SELECT login_name, COUNT(session_id) AS [session_count] FROM sys.dm_exec_sessions WITH (NOLOCK) WHERE session_id > 50 -- filter out system SPIDs GROUP BY login_name ORDER BY COUNT(session_id) DESC OPTION (RECOMPILE); -- This can help characterize your workload and -- determine whether you are seeing a normal level of activity -- Get Average Task Counts (run multiple times) (Query 24) SELECT AVG(current_tasks_count) AS [Avg Task Count], AVG(runnable_tasks_count) AS [Avg Runnable Task Count], AVG(pending_disk_io_count) AS [AvgPendingDiskIOCount] FROM sys.dm_os_schedulers WITH (NOLOCK) WHERE scheduler_id < 255 OPTION (RECOMPILE); -- Sustained values above 10 suggest further investigation in that area -- High current_tasks_count is often an indication of locking/blocking problems -- High runnable_tasks_count is an indication of CPU pressure -- High pending_disk_io_count is an indication of I/O pressure -- Get CPU Utilization History for last 256 minutes (in one minute intervals) (Query 25) -- This version works with SQL Server 2008 and SQL Server 2008 R2 only DECLARE @ts_now bigint = (SELECT cpu_ticks/(cpu_ticks/ms_ticks)FROM sys.dm_os_sys_info); SELECT TOP(256) SQLProcessUtilization AS [SQL Server Process CPU Utilization], SystemIdle AS [System Idle Process], 100 - SystemIdle - SQLProcessUtilization AS [Other Process CPU Utilization], DATEADD(ms, -1 * (@ts_now - [timestamp]), GETDATE()) AS [Event Time] FROM ( SELECT record.value('(./Record/@id)[1]', 'int') AS record_id, record.value('(./Record/SchedulerMonitorEvent/SystemHealth/SystemIdle)[1]', 'int') AS [SystemIdle], record.value('(./Record/SchedulerMonitorEvent/SystemHealth/ProcessUtilization)[1]', 'int') AS [SQLProcessUtilization], [timestamp] FROM ( SELECT [timestamp], CONVERT(xml, record) AS [record] FROM sys.dm_os_ring_buffers WITH (NOLOCK) WHERE ring_buffer_type = N'RING_BUFFER_SCHEDULER_MONITOR' AND record LIKE N'%<SystemHealth>%') AS x ) AS y ORDER BY record_id DESC OPTION (RECOMPILE); -- Look at the trend over the entire period. -- Also look at high sustained Other Process CPU Utilization values -- Good basic information about OS memory amounts and state (Query 26) 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 WITH (NOLOCK) OPTION (RECOMPILE); -- You want to see "Available physical memory is high" -- This indicates that you are not under external memory pressure -- SQL Server Process Address space info (Query 27) --(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 WITH (NOLOCK) OPTION (RECOMPILE); -- You want to see 0 for process_physical_memory_low -- You want to see 0 for process_virtual_memory_low -- This indicates that you are not under internal memory pressure -- Page Life Expectancy (PLE) value for each NUMA node in current instance (Query 28) SELECT @@SERVERNAME AS [Server Name], [object_name], instance_name, cntr_value AS [Page Life Expectancy] FROM sys.dm_os_performance_counters WITH (NOLOCK) WHERE [object_name] LIKE N'%Buffer Node%' -- Handles named instances AND counter_name = N'Page life expectancy' OPTION (RECOMPILE); -- PLE is a good measurement of memory pressure. -- Higher PLE is better. Watch the trend, not the absolute value. -- This will only return one row for non-NUMA systems. -- Memory Grants Pending value for current instance (Query 29) SELECT @@SERVERNAME AS [Server Name], [object_name], cntr_value AS [Memory Grants Pending] FROM sys.dm_os_performance_counters WITH (NOLOCK) WHERE [object_name] LIKE N'%Memory Manager%' -- Handles named instances AND counter_name = N'Memory Grants Pending' OPTION (RECOMPILE); -- Memory Grants Pending above zero for a sustained period is a very strong indicator of memory pressure -- Memory Clerk Usage for instance (Query 30) -- Look for high value for CACHESTORE_SQLCP (Ad-hoc query plans) SELECT TOP(10) [type] AS [Memory Clerk Type], SUM(single_pages_kb) AS [SPA Mem, Kb] FROM sys.dm_os_memory_clerks WITH (NOLOCK) GROUP BY [type] ORDER BY SUM(single_pages_kb) DESC OPTION (RECOMPILE); -- 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 and prepared queries that are bloating the plan cache (Query 31) SELECT TOP(50) [text] AS [QueryText], cp.objtype, cp.size_in_bytes FROM sys.dm_exec_cached_plans AS cp WITH (NOLOCK) CROSS APPLY sys.dm_exec_sql_text(plan_handle) WHERE cp.cacheobjtype = N'Compiled Plan' AND cp.objtype IN (N'Adhoc', N'Prepared') AND cp.usecounts = 1 ORDER BY cp.size_in_bytes DESC OPTION (RECOMPILE); -- 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) -- Running DBCC FREESYSTEMCACHE ('SQL Plans') periodically may be required to better control this. -- Enabling forced parameterization for the database can help, but test first! -- Database specific queries ***************************************************************** -- **** Switch to a user database ***** USE YourDatabaseName; GO -- Individual File Sizes and space available for current database (Query 32) SELECT f.name AS [File Name] , f.physical_name AS [Physical Name], CAST((f.size/128.0) AS decimal(15,2)) AS [Total Size in MB], CAST(f.size/128.0 - CAST(FILEPROPERTY(f.name, 'SpaceUsed') AS int)/128.0 AS decimal(15,2)) AS [Available Space In MB], [file_id], fg.name AS [Filegroup Name] FROM sys.database_files AS f WITH (NOLOCK) LEFT OUTER JOIN sys.data_spaces AS fg WITH (NOLOCK) ON f.data_space_id = fg.data_space_id OPTION (RECOMPILE); -- Look at how large and how full the files are and where they are located -- Make sure the transaction log is not full!! -- I/O Statistics by file for the current database (Query 33) SELECT DB_NAME(DB_ID()) AS [Database Name],[file_id], num_of_reads, num_of_writes, io_stall_read_ms, io_stall_write_ms, CAST(100. * io_stall_read_ms/(io_stall_read_ms + io_stall_write_ms) AS DECIMAL(10,1)) AS [IO Stall Reads Pct], CAST(100. * io_stall_write_ms/(io_stall_write_ms + io_stall_read_ms) AS DECIMAL(10,1)) AS [IO Stall Writes Pct], (num_of_reads + num_of_writes) AS [Writes + Reads], num_of_bytes_read, num_of_bytes_written, CAST(100. * num_of_reads/(num_of_reads + num_of_writes) AS DECIMAL(10,1)) AS [# Reads Pct], CAST(100. * num_of_writes/(num_of_reads + num_of_writes) AS DECIMAL(10,1)) AS [# Write Pct], CAST(100. * num_of_bytes_read/(num_of_bytes_read + num_of_bytes_written) AS DECIMAL(10,1)) AS [Read Bytes Pct], CAST(100. * num_of_bytes_written/(num_of_bytes_read + num_of_bytes_written) AS DECIMAL(10,1)) AS [Written Bytes Pct] FROM sys.dm_io_virtual_file_stats(DB_ID(), NULL) OPTION (RECOMPILE); -- This helps you characterize your workload better from an I/O perspective for this database -- Top cached queries by Execution Count (SQL Server 2008) (Query 34) -- SQL Server 2008 R2 SP1 and greater only SELECT TOP (250) qs.execution_count, qs.total_rows, qs.last_rows, qs.min_rows, qs.max_rows, qs.last_elapsed_time, qs.min_elapsed_time, qs.max_elapsed_time, total_worker_time, total_logical_reads, SUBSTRING(qt.TEXT,qs.statement_start_offset/2 +1, (CASE WHEN qs.statement_end_offset = -1 THEN LEN(CONVERT(NVARCHAR(MAX), qt.TEXT)) * 2 ELSE qs.statement_end_offset END - qs.statement_start_offset)/2) AS query_text FROM sys.dm_exec_query_stats AS qs WITH (NOLOCK) CROSS APPLY sys.dm_exec_sql_text(qs.sql_handle) AS qt ORDER BY qs.execution_count DESC OPTION (RECOMPILE); -- Uses several new rows returned columns to help troubleshoot performance problems -- Top Cached SPs By Execution Count (SQL 2008) (SQL 2008 R2 SP1 only) (Query 35) SELECT TOP(250) p.name AS [SP Name], qs.execution_count, ISNULL(qs.execution_count/DATEDIFF(Second, qs.cached_time, GETDATE()), 0) AS [Calls/Second], qs.total_worker_time/qs.execution_count AS [AvgWorkerTime], qs.total_worker_time AS [TotalWorkerTime], qs.total_elapsed_time, qs.total_elapsed_time/qs.execution_count AS [avg_elapsed_time], qs.cached_time FROM sys.procedures AS p WITH (NOLOCK) INNER JOIN sys.dm_exec_procedure_stats AS qs WITH (NOLOCK) ON p.[object_id] = qs.[object_id] WHERE qs.database_id = DB_ID() ORDER BY qs.execution_count DESC OPTION (RECOMPILE); -- Tells you which cached stored procedures are called the most often -- This helps you characterize and baseline your workload -- Top Cached SPs By Avg Elapsed Time (SQL 2008) (Query 36) SELECT TOP(25) p.name AS [SP Name], qs.total_elapsed_time/qs.execution_count AS [avg_elapsed_time], qs.total_elapsed_time, qs.execution_count, ISNULL(qs.execution_count/DATEDIFF(Second, qs.cached_time, GETDATE()), 0) AS [Calls/Second], qs.total_worker_time/qs.execution_count AS [AvgWorkerTime], qs.total_worker_time AS [TotalWorkerTime], qs.cached_time FROM sys.procedures AS p WITH (NOLOCK) INNER JOIN sys.dm_exec_procedure_stats AS qs WITH (NOLOCK) ON p.[object_id] = qs.[object_id] WHERE qs.database_id = DB_ID() ORDER BY avg_elapsed_time DESC OPTION (RECOMPILE); -- This helps you find long-running cached stored procedures that -- may be easy to optimize with standard query tuning techniques -- Top Cached SPs By Avg Elapsed Time with execution time variability (Query 37) SELECT TOP(25) p.name AS [SP Name], qs.execution_count, qs.min_elapsed_time, qs.total_elapsed_time/qs.execution_count AS [avg_elapsed_time], qs.max_elapsed_time, qs.last_elapsed_time, qs.cached_time FROM sys.procedures AS p WITH (NOLOCK) INNER JOIN sys.dm_exec_procedure_stats AS qs WITH (NOLOCK) ON p.[object_id] = qs.[object_id] WHERE qs.database_id = DB_ID() ORDER BY avg_elapsed_time DESC OPTION (RECOMPILE); -- This gives you some interesting information about the variability in the -- execution time of your cached stored procedures, which is useful for tuning -- Top Cached SPs By Total Worker time (SQL 2008). Worker time relates to CPU cost (Query 38) SELECT TOP(25) p.name AS [SP Name], qs.total_worker_time AS [TotalWorkerTime], qs.total_worker_time/qs.execution_count AS [AvgWorkerTime], 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 WITH (NOLOCK) INNER JOIN sys.dm_exec_procedure_stats AS qs WITH (NOLOCK) ON p.[object_id] = qs.[object_id] WHERE qs.database_id = DB_ID() ORDER BY qs.total_worker_time DESC OPTION (RECOMPILE); -- This helps you find the most expensive cached stored procedures from a CPU perspective -- You should look at this if you see signs of CPU pressure -- Top Cached SPs By Total Logical Reads (SQL 2008). Logical reads relate to memory pressure (Query 39) 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 WITH (NOLOCK) INNER JOIN sys.dm_exec_procedure_stats AS qs WITH (NOLOCK) ON p.[object_id] = qs.[object_id] WHERE qs.database_id = DB_ID() ORDER BY qs.total_logical_reads DESC OPTION (RECOMPILE); -- 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 -- Top Cached SPs By Total Physical Reads (SQL 2008). Physical reads relate to disk I/O pressure (Query 40) SELECT TOP(25) p.name AS [SP Name],qs.total_physical_reads AS [TotalPhysicalReads], qs.total_physical_reads/qs.execution_count AS [AvgPhysicalReads], qs.execution_count, qs.total_logical_reads,qs.total_elapsed_time, qs.total_elapsed_time/qs.execution_count AS [avg_elapsed_time], qs.cached_time FROM sys.procedures AS p WITH (NOLOCK) INNER JOIN sys.dm_exec_procedure_stats AS qs WITH (NOLOCK) ON p.[object_id] = qs.[object_id] WHERE qs.database_id = DB_ID() AND qs.total_physical_reads > 0 ORDER BY qs.total_physical_reads DESC, qs.total_logical_reads DESC OPTION (RECOMPILE); -- This helps you find the most expensive cached stored procedures from a read I/O perspective -- You should look at this if you see signs of I/O pressure or of memory pressure -- Top Cached SPs By Total Logical Writes (SQL 2008) (Query 41) -- Logical writes relate to both memory and disk I/O pressure SELECT TOP(25) p.name AS [SP Name], qs.total_logical_writes AS [TotalLogicalWrites], qs.total_logical_writes/qs.execution_count AS [AvgLogicalWrites], 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 WITH (NOLOCK) INNER JOIN sys.dm_exec_procedure_stats AS qs WITH (NOLOCK) ON p.[object_id] = qs.[object_id] WHERE qs.database_id = DB_ID() ORDER BY qs.total_logical_writes DESC OPTION (RECOMPILE); -- This helps you find the most expensive cached stored procedures from a write I/O perspective -- You should look at this if you see signs of I/O pressure or of memory pressure -- Lists the top statements by average input/output usage for the current database (Query 42) SELECT TOP(50) OBJECT_NAME(qt.objectid) AS [SP Name], (qs.total_logical_reads + qs.total_logical_writes) /qs.execution_count AS [Avg IO], SUBSTRING(qt.[text],qs.statement_start_offset/2, (CASE WHEN qs.statement_end_offset = -1 THEN LEN(CONVERT(nvarchar(max), qt.[text])) * 2 ELSE qs.statement_end_offset END - qs.statement_start_offset)/2) AS [Query Text] FROM sys.dm_exec_query_stats AS qs WITH (NOLOCK) CROSS APPLY sys.dm_exec_sql_text(qs.sql_handle) AS qt WHERE qt.[dbid] = DB_ID() ORDER BY [Avg IO] DESC OPTION (RECOMPILE); -- Helps you find the most expensive statements for I/O by SP -- Possible Bad NC Indexes (writes > reads) (Query 43) SELECT OBJECT_NAME(s.[object_id]) AS [Table Name], i.name AS [Index Name], i.index_id, i.is_disabled, user_updates AS [Total Writes], user_seeks + user_scans + user_lookups AS [Total Reads], user_updates - (user_seeks + user_scans + user_lookups) AS [Difference] FROM sys.dm_db_index_usage_stats AS s WITH (NOLOCK) INNER JOIN sys.indexes AS i WITH (NOLOCK) ON s.[object_id] = i.[object_id] AND i.index_id = s.index_id WHERE OBJECTPROPERTY(s.[object_id],'IsUserTable') = 1 AND s.database_id = DB_ID() AND user_updates > (user_seeks + user_scans + user_lookups) AND i.index_id > 1 ORDER BY [Difference] DESC, [Total Writes] DESC, [Total Reads] ASC OPTION (RECOMPILE); -- Look for indexes with high numbers of writes and zero or very low numbers of reads -- Consider your complete workload -- Investigate further before dropping an index! -- Missing Indexes for current database by Index Advantage (Query 44) SELECT user_seeks * avg_total_user_cost * (avg_user_impact * 0.01) AS [index_advantage], migs.last_user_seek, mid.[statement] AS [Database.Schema.Table], mid.equality_columns, mid.inequality_columns, mid.included_columns, migs.unique_compiles, migs.user_seeks, migs.avg_total_user_cost, migs.avg_user_impact FROM sys.dm_db_missing_index_group_stats AS migs WITH (NOLOCK) INNER JOIN sys.dm_db_missing_index_groups AS mig WITH (NOLOCK) ON migs.group_handle = mig.index_group_handle INNER JOIN sys.dm_db_missing_index_details AS mid WITH (NOLOCK) ON mig.index_handle = mid.index_handle WHERE mid.database_id = DB_ID() -- Remove this to see for entire instance ORDER BY index_advantage DESC OPTION (RECOMPILE); -- Look at index advantage, last user seek time, number of user seeks to help determine source and importance -- SQL Server is overly eager to add included columns, so beware -- Do not just blindly add indexes that show up from this query!!! -- Find missing index warnings for cached plans in the current database (Query 45) -- Note: This query could take some time on a busy instance SELECT TOP(25) OBJECT_NAME(objectid) AS [ObjectName], query_plan, cp.objtype, cp.usecounts FROM sys.dm_exec_cached_plans AS cp WITH (NOLOCK) CROSS APPLY sys.dm_exec_query_plan(cp.plan_handle) AS qp WHERE CAST(query_plan AS NVARCHAR(MAX)) LIKE N'%MissingIndex%' AND dbid = DB_ID() ORDER BY cp.usecounts DESC OPTION (RECOMPILE); -- Helps you connect missing indexes to specific stored procedures -- This can help you decide whether to add them or not -- Breaks down buffers used by current database by object (table, index) in the buffer cache (Query 46) -- Note: This query could take some time on a busy instance 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], a.type_desc, p.[rows] FROM sys.allocation_units AS a WITH (NOLOCK) INNER JOIN sys.dm_os_buffer_descriptors AS b WITH (NOLOCK) ON a.allocation_unit_id = b.allocation_unit_id INNER JOIN sys.partitions AS p WITH (NOLOCK) ON a.container_id = p.partition_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, a.type_desc, p.[rows] ORDER BY [BufferCount] DESC OPTION (RECOMPILE); -- Tells you what tables and indexes are using the most memory in the buffer cache -- Get Table names, row counts, and compression status for clustered index or heap (Query 47) SELECT OBJECT_NAME(object_id) AS [ObjectName], SUM(Rows) AS [RowCount], data_compression_desc AS [CompressionType] FROM sys.partitions WITH (NOLOCK) WHERE index_id < 2 --ignore the partitions from the non-clustered index if any AND OBJECT_NAME(object_id) NOT LIKE N'sys%' AND OBJECT_NAME(object_id) NOT LIKE N'queue_%' AND OBJECT_NAME(object_id) NOT LIKE N'filestream_tombstone%' AND OBJECT_NAME(object_id) NOT LIKE N'fulltext%' AND OBJECT_NAME(object_id) NOT LIKE N'ifts_comp_fragment%' GROUP BY object_id, data_compression_desc ORDER BY SUM(Rows) DESC OPTION (RECOMPILE); -- Gives you an idea of table sizes, and possible data compression opportunities -- When were Statistics last updated on all indexes? (Query 48) SELECT o.name, i.name AS [Index Name], STATS_DATE(i.[object_id], i.index_id) AS [Statistics Date], s.auto_created, s.no_recompute, s.user_created, st.row_count FROM sys.objects AS o WITH (NOLOCK) INNER JOIN sys.indexes AS i WITH (NOLOCK) ON o.[object_id] = i.[object_id] INNER JOIN sys.stats AS s WITH (NOLOCK) ON i.[object_id] = s.[object_id] AND i.index_id = s.stats_id INNER JOIN sys.dm_db_partition_stats AS st WITH (NOLOCK) ON o.[object_id] = st.[object_id] AND i.[index_id] = st.[index_id] WHERE o.[type] = 'U' ORDER BY STATS_DATE(i.[object_id], i.index_id) ASC OPTION (RECOMPILE); -- Helps discover possible problems with out-of-date statistics -- Also gives you an idea which indexes are the most active -- Get fragmentation info for all indexes above a certain size in the current database (Query 49) -- Note: This could take some time on a very large database SELECT DB_NAME(database_id) AS [Database Name], OBJECT_NAME(ps.OBJECT_ID) AS [Object Name], i.name AS [Index Name], ps.index_id, index_type_desc, avg_fragmentation_in_percent, fragment_count, page_count FROM sys.dm_db_index_physical_stats(DB_ID(),NULL, NULL, NULL ,N'LIMITED') AS ps INNER JOIN sys.indexes AS i WITH (NOLOCK) ON ps.[object_id] = i.[object_id] AND ps.index_id = i.index_id WHERE database_id = DB_ID() AND page_count > 1500 ORDER BY avg_fragmentation_in_percent DESC OPTION (RECOMPILE); -- Helps determine whether you have framentation in your relational indexes -- and how effective your index maintenance strategy is --- Index Read/Write stats (all tables in current DB) ordered by Reads (Query 50) SELECT OBJECT_NAME(s.[object_id]) AS [ObjectName], i.name AS [IndexName], i.index_id, user_seeks + user_scans + user_lookups AS [Reads], s.user_updates AS [Writes], i.type_desc AS [IndexType], i.fill_factor AS [FillFactor] FROM sys.dm_db_index_usage_stats AS s WITH (NOLOCK) INNER JOIN sys.indexes AS i WITH (NOLOCK) ON s.[object_id] = i.[object_id] WHERE OBJECTPROPERTY(s.[object_id],'IsUserTable') = 1 AND i.index_id = s.index_id AND s.database_id = DB_ID() ORDER BY user_seeks + user_scans + user_lookups DESC OPTION (RECOMPILE); -- Order by reads -- Show which indexes in the current database are most active for Reads --- Index Read/Write stats (all tables in current DB) ordered by Writes (Query 51) SELECT OBJECT_NAME(s.[object_id]) AS [ObjectName], i.name AS [IndexName], i.index_id, s.user_updates AS [Writes], user_seeks + user_scans + user_lookups AS [Reads], i.type_desc AS [IndexType], i.fill_factor AS [FillFactor] FROM sys.dm_db_index_usage_stats AS s WITH (NOLOCK) INNER JOIN sys.indexes AS i WITH (NOLOCK) ON s.[object_id] = i.[object_id] WHERE OBJECTPROPERTY(s.[object_id],'IsUserTable') = 1 AND i.index_id = s.index_id AND s.database_id = DB_ID() ORDER BY s.user_updates DESC OPTION (RECOMPILE); -- Order by writes -- Show which indexes in the current database are most active for Writes -- Look at recent Full backups for the current database (Query 52) SELECT TOP (30) bs.server_name, bs.database_name AS [Database Name], CONVERT (BIGINT, bs.backup_size / 1048576 ) AS [Uncompressed Backup Size (MB)], CONVERT (BIGINT, bs.compressed_backup_size / 1048576 ) AS [Compressed Backup Size (MB)], CONVERT (NUMERIC (20,2), (CONVERT (FLOAT, bs.backup_size) / CONVERT (FLOAT, bs.compressed_backup_size))) AS [Compression Ratio], DATEDIFF (SECOND, bs.backup_start_date, bs.backup_finish_date) AS [Backup Elapsed Time (sec)], bs.backup_finish_date AS [Backup Finish Date] FROM msdb.dbo.backupset AS bs WITH (NOLOCK) WHERE DATEDIFF (SECOND, bs.backup_start_date, bs.backup_finish_date) > 0 AND bs.backup_size > 0 AND bs.type = 'D' -- Change to L if you want Log backups AND database_name = DB_NAME(DB_ID()) ORDER BY bs.backup_finish_date DESC OPTION (RECOMPILE); -- Are your backup sizes and times changing over time? -- Get the average full backup size by month for the current database (SQL 2008) (Query 53) -- This helps you understand your database growth over time -- Adapted from Erin Stellato SELECT [database_name] AS [Database], DATEPART(month,[backup_start_date]) AS [Month], CAST(AVG([backup_size]/1024/1024) AS DECIMAL(15,2)) AS [Backup Size (MB)], CAST(AVG([compressed_backup_size]/1024/1024) AS DECIMAL(15,2)) AS [Compressed Backup Size (MB)], CAST(AVG([backup_size]/[compressed_backup_size]) AS DECIMAL(15,2)) AS [Compression Ratio] FROM msdb.dbo.backupset WITH (NOLOCK) WHERE [database_name] = DB_NAME(DB_ID()) AND [type] = 'D' AND backup_start_date >= DATEADD(MONTH, -12, GETDATE()) GROUP BY [database_name],DATEPART(mm,[backup_start_date]) OPTION (RECOMPILE); -- The Backup Size (MB) (without backup compression) shows the true size of your database over time -- This helps you track and plan your data size growth -- It is possible that your data files may be larger on disk due to empty space within those files


Frank Garcia


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