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Azure SQL Database Diagnostic Information Queries.sql
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Azure SQL Database Diagnostic Information Queries.sql
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-- Azure SQL Database Diagnostic Information Queries
-- Glenn Berry
-- Last Modified: September 1, 2020
-- https://glennsqlperformance.com/
-- https://sqlserverperformance.wordpress.com/
-- YouTube: https://bit.ly/2PkoAM1
-- Twitter: GlennAlanBerry
-- Diagnostic Queries are available here
-- https://glennsqlperformance.com/resources/
-- If you like PowerShell, there is a very useful community solution for running these queries in an automated fashion
-- https://dbatools.io/
-- Invoke-DbaDiagnosticQuery
-- https://dbatools.io/functions/invoke-dbadiagnosticquery/
--******************************************************************************
--* Copyright (C) 2020 Glenn Berry
--* All rights reserved.
--*
--*
--* You may alter this code for your own *non-commercial* purposes. You may
--* republish altered code as long as you include this copyright and give due credit.
--*
--*
--* THIS CODE AND INFORMATION ARE PROVIDED "AS IS" WITHOUT WARRANTY OF
--* ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING BUT NOT LIMITED
--* TO THE IMPLIED WARRANTIES OF MERCHANTABILITY AND/OR FITNESS FOR A
--* PARTICULAR PURPOSE.
--*
--******************************************************************************
-- Make sure you are connected a user database, rather than the master system database
-- Server level queries *******************************
-- SQL and OS Version information for current instance (Query 1) (Version Info)
SELECT @@SERVERNAME AS [Server Name], @@VERSION AS [SQL Server and OS Version Info];
------
-- Azure SQL Database does not expose as much information as on-premises SQL Server does
-- Get logical instance-level configuration values for instance (Query 2) (Configuration Values)
SELECT name, value, value_in_use, minimum, maximum, [description], is_dynamic, is_advanced
FROM sys.configurations WITH (NOLOCK)
ORDER BY name OPTION (RECOMPILE);
------
-- All of these settings are read-only in Azure SQL Database, so they are informational only
-- SQL Server NUMA Node information (Query 3) (SQL Server NUMA Info)
SELECT node_id, node_state_desc, memory_node_id, processor_group, cpu_count, online_scheduler_count,
idle_scheduler_count, active_worker_count, avg_load_balance, resource_monitor_state
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
-- You want to see an equal number of schedulers on each NUMA node
-- Calculates average stalls per read, per write, and per total input/output for each database file (Query 4) (IO Stalls by File)
SELECT DB_NAME(fs.database_id) AS [Database Name], CAST(fs.io_stall_read_ms/(1.0 + fs.num_of_reads) AS NUMERIC(16,1)) AS [avg_read_stall_ms],
CAST(fs.io_stall_write_ms/(1.0 + fs.num_of_writes) AS NUMERIC(16,1)) AS [avg_write_stall_ms],
CAST((fs.io_stall_read_ms + fs.io_stall_write_ms)/(1.0 + fs.num_of_reads + fs.num_of_writes) AS NUMERIC(16,1)) AS [avg_io_stall_ms],
fs.io_stall_read_ms, fs.num_of_reads,
fs.io_stall_write_ms, fs.num_of_writes, fs.io_stall_read_ms + fs.io_stall_write_ms AS [io_stalls], fs.num_of_reads + fs.num_of_writes AS [total_io],
io_stall_queued_read_ms AS [Resource Governor Total Read IO Latency (ms)], io_stall_queued_write_ms AS [Resource Governor Total Write IO Latency (ms)]
FROM sys.dm_io_virtual_file_stats(null,null) AS fs
ORDER BY avg_io_stall_ms DESC OPTION (RECOMPILE);
------
-- Helps 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 or perhaps improve your I/O performance
-- These latency numbers include all file activity against each SQL Server
-- database file since SQL Server was last started
-- Get I/O utilization by database (Query 5) (IO Usage By Database)
WITH Aggregate_IO_Statistics
AS (SELECT DB_NAME(database_id) AS [Database Name],
CAST(SUM(num_of_bytes_read + num_of_bytes_written) / 1048576 AS DECIMAL(12, 2)) AS [ioTotalMB],
CAST(SUM(num_of_bytes_read ) / 1048576 AS DECIMAL(12, 2)) AS [ioReadMB],
CAST(SUM(num_of_bytes_written) / 1048576 AS DECIMAL(12, 2)) AS [ioWriteMB]
FROM sys.dm_io_virtual_file_stats(NULL, NULL) AS [DM_IO_STATS]
GROUP BY database_id)
SELECT ROW_NUMBER() OVER (ORDER BY ioTotalMB DESC) AS [I/O Rank],
[Database Name], ioTotalMB AS [Total I/O (MB)],
CAST(ioTotalMB / SUM(ioTotalMB) OVER () * 100.0 AS DECIMAL(5, 2)) AS [Total I/O %],
ioReadMB AS [Read I/O (MB)],
CAST(ioReadMB / SUM(ioReadMB) OVER () * 100.0 AS DECIMAL(5, 2)) AS [Read I/O %],
ioWriteMB AS [Write I/O (MB)],
CAST(ioWriteMB / SUM(ioWriteMB) OVER () * 100.0 AS DECIMAL(5, 2)) AS [Write I/O %]
FROM Aggregate_IO_Statistics
ORDER BY [I/O Rank] OPTION (RECOMPILE);
------
-- Helps determine which database is using the most I/O resources on the instance
-- Get total buffer usage by database for current instance (Query 6) (Total Buffer Usage by Database)
-- This make take some time to run on a busy instance
WITH AggregateBufferPoolUsage
AS
(SELECT DB_NAME(database_id) AS [Database Name], COUNT(page_id) AS [Page Count],
CAST(COUNT(*) * 8/1024.0 AS DECIMAL (10,2)) AS [CachedSize],
AVG(read_microsec) AS [Avg Read Time (microseconds)]
FROM sys.dm_os_buffer_descriptors WITH (NOLOCK)
GROUP BY DB_NAME(database_id))
SELECT ROW_NUMBER() OVER(ORDER BY CachedSize DESC) AS [Buffer Pool Rank], [Database Name],
CAST(CachedSize / SUM(CachedSize) OVER() * 100.0 AS DECIMAL(5,2)) AS [Buffer Pool Percent],
[Page Count], CachedSize AS [Cached Size (MB)], [Avg Read Time (microseconds)]
FROM AggregateBufferPoolUsage
ORDER BY [Buffer Pool Rank] OPTION (RECOMPILE);
------
-- Tells you how much memory (in the buffer pool)
-- is being used by each database on the instance
-- Get a count of SQL connections by IP address (Query 7) (Connection Counts by IP Address)
SELECT ec.client_net_address, es.[program_name], es.[host_name], es.login_name,
COUNT(ec.session_id) AS [connection count]
FROM sys.dm_exec_sessions AS es WITH (NOLOCK)
INNER JOIN sys.dm_exec_connections AS ec WITH (NOLOCK)
ON es.session_id = ec.session_id
GROUP BY ec.client_net_address, es.[program_name], es.[host_name], es.login_name
ORDER BY ec.client_net_address, es.[program_name] OPTION (RECOMPILE);
------
-- This helps you figure where your database load is coming from
-- and verifies connectivity from other machines
-- Solving Connectivity errors to SQL Server
-- https://bit.ly/2EgzoD0
-- Get Average Task Counts (run multiple times) (Query 8) (Avg Task Counts)
SELECT AVG(current_tasks_count) AS [Avg Task Count],
AVG(work_queue_count) AS [Avg Work Queue Count],
AVG(runnable_tasks_count) AS [Avg Runnable Task Count],
AVG(pending_disk_io_count) AS [Avg Pending DiskIO Count]
FROM sys.dm_os_schedulers WITH (NOLOCK)
WHERE scheduler_id < 255 OPTION (RECOMPILE);
------
-- Sustained values above 10 suggest further investigation in that area (depending on your Service Tier)
-- Avg Task Counts will be higher with lower service tiers
-- High Avg Task Counts are often caused by blocking/deadlocking or other resource contention
-- Sustained values above 1 suggest further investigation in that area
-- High Avg Runnable Task Counts are a good sign of CPU pressure
-- High Avg Pending DiskIO Counts are a sign of disk pressure
-- Detect blocking (run multiple times) (Query 9) (Detect Blocking)
SELECT t1.resource_type AS [lock type], DB_NAME(resource_database_id) AS [database],
t1.resource_associated_entity_id AS [blk object],t1.request_mode AS [lock req], -- lock requested
t1.request_session_id AS [waiter sid], t2.wait_duration_ms AS [wait time], -- spid of waiter
(SELECT [text] FROM sys.dm_exec_requests AS r WITH (NOLOCK) -- get sql for waiter
CROSS APPLY sys.dm_exec_sql_text(r.[sql_handle])
WHERE r.session_id = t1.request_session_id) AS [waiter_batch],
(SELECT SUBSTRING(qt.[text],r.statement_start_offset/2,
(CASE WHEN r.statement_end_offset = -1
THEN LEN(CONVERT(nvarchar(max), qt.[text])) * 2
ELSE r.statement_end_offset END - r.statement_start_offset)/2)
FROM sys.dm_exec_requests AS r WITH (NOLOCK)
CROSS APPLY sys.dm_exec_sql_text(r.[sql_handle]) AS qt
WHERE r.session_id = t1.request_session_id) AS [waiter_stmt], -- statement blocked
t2.blocking_session_id AS [blocker sid], -- spid of blocker
(SELECT [text] FROM sys.sysprocesses AS p -- get sql for blocker
CROSS APPLY sys.dm_exec_sql_text(p.[sql_handle])
WHERE p.spid = t2.blocking_session_id) AS [blocker_batch]
FROM sys.dm_tran_locks AS t1 WITH (NOLOCK)
INNER JOIN sys.dm_os_waiting_tasks AS t2 WITH (NOLOCK)
ON t1.lock_owner_address = t2.resource_address OPTION (RECOMPILE);
------
-- Helps troubleshoot blocking and deadlocking issues
-- The results will change from second to second on a busy system
-- You should run this query multiple times when you see signs of blocking
-- Page Life Expectancy (PLE) value for each NUMA node in current instance (Query 10) (PLE by NUMA Node)
SELECT @@SERVERNAME AS [Server Name], RTRIM([object_name]) AS [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 internal memory pressure
-- Higher PLE is better. Watch the trend over time, not the absolute value
-- This will only return one row for non-NUMA systems
-- Page Life Expectancy isn’t what you think…
-- https://bit.ly/2EgynLa
-- Memory Grants Pending value for current instance (Query 11) (Memory Grants Pending)
SELECT @@SERVERNAME AS [Server Name], RTRIM([object_name]) AS [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);
------
-- Run multiple times, and run periodically if you suspect you are under memory pressure
-- Memory Grants Pending above zero for a sustained period is a very strong indicator of internal memory pressure
-- Memory Clerk Usage for instance (Query 12) (Memory Clerk Usage)
-- Look for high value for CACHESTORE_SQLCP (Ad-hoc query plans)
SELECT TOP(10) mc.[type] AS [Memory Clerk Type],
CAST((SUM(mc.pages_kb)/1024.0) AS DECIMAL (15,2)) AS [Memory Usage (MB)]
FROM sys.dm_os_memory_clerks AS mc WITH (NOLOCK)
GROUP BY mc.[type]
ORDER BY SUM(mc.pages_kb) DESC OPTION (RECOMPILE);
------
-- MEMORYCLERK_SQLBUFFERPOOL was new for SQL Server 2012. It should be your highest consumer of memory
-- CACHESTORE_SQLCP SQL Plans
-- These are cached SQL statements or batches that aren't in stored procedures, functions and triggers
-- Watch out for high values for CACHESTORE_SQLCP
-- Enabling 'optimize for ad hoc workloads' at the instance level can help reduce this
-- CACHESTORE_OBJCP Object Plans
-- These are compiled plans for stored procedures, functions and triggers
-- Find single-use, ad-hoc and prepared queries that are bloating the plan cache (Query 13) (Ad hoc Queries)
SELECT TOP(50) DB_NAME(t.[dbid]) AS [Database Name], t.[text] AS [Query Text],
cp.objtype AS [Object Type], cp.cacheobjtype AS [Cache Object Type],
cp.size_in_bytes/1024 AS [Plan Size in KB]
FROM sys.dm_exec_cached_plans AS cp WITH (NOLOCK)
CROSS APPLY sys.dm_exec_sql_text(plan_handle) AS t
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, DB_NAME(t.[dbid]) OPTION (RECOMPILE);
------
-- Gives you the text, type and size of single-use ad-hoc and prepared queries that waste space in the plan cache
-- Enabling forced parameterization for the database can help, but test first!
-- Plan cache, adhoc workloads and clearing the single-use plan cache bloat
-- https://bit.ly/2EfYOkl
-- Database specific queries *****************************************************************
-- Azure SQL Database size (Query 14) (Azure SQL DB Size)
SELECT CAST(SUM(CAST(FILEPROPERTY(name, 'SpaceUsed') AS bigint) * 8192.) / 1024 / 1024 AS DECIMAL(15,2)) AS [Database Size In MB],
CAST(SUM(CAST(FILEPROPERTY(name, 'SpaceUsed') AS bigint) * 8192.) / 1024 / 1024 / 1024 AS DECIMAL(15,2)) AS [Database Size In GB]
FROM sys.database_files WITH (NOLOCK)
WHERE [type_desc] = N'ROWS' OPTION (RECOMPILE);
------
-- This gives you the actual space usage within the data file only, to match what the Azure portal shows for the database size
-- Determining Database Size in Azure SQL Database V12
-- https://bit.ly/2JjrqNh
-- Individual File Sizes and space available for current database (Query 15) (File Sizes and Space)
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], f.[file_id], fg.name AS [Filegroup Name],
f.is_percent_growth, f.growth, fg.is_default, fg.is_read_only,
fg.is_autogrow_all_files
FROM sys.database_files AS f WITH (NOLOCK)
LEFT OUTER JOIN sys.filegroups AS fg WITH (NOLOCK)
ON f.data_space_id = fg.data_space_id
ORDER BY f.[file_id] OPTION (RECOMPILE);
------
-- Look at how large and how full the files are and where they are located
-- is_autogrow_all_files was new for SQL Server 2016. Equivalent to TF 1117 for user databases
-- SQL Server 2016: Changes in default behavior for autogrow and allocations for tempdb and user databases
-- http://bit.ly/2evRZSR
-- Log space usage for current database (Query 16) (Log Space Usage)
SELECT DB_NAME(lsu.database_id) AS [Database Name], db.recovery_model_desc AS [Recovery Model],
CAST(lsu.total_log_size_in_bytes/1048576.0 AS DECIMAL(10, 2)) AS [Total Log Space (MB)],
CAST(lsu.used_log_space_in_bytes/1048576.0 AS DECIMAL(10, 2)) AS [Used Log Space (MB)],
CAST(lsu.used_log_space_in_percent AS DECIMAL(10, 2)) AS [Used Log Space %],
CAST(lsu.log_space_in_bytes_since_last_backup/1048576.0 AS DECIMAL(10, 2)) AS [Used Log Space Since Last Backup (MB)],
db.log_reuse_wait_desc
FROM sys.dm_db_log_space_usage AS lsu WITH (NOLOCK)
INNER JOIN sys.databases AS db WITH (NOLOCK)
ON lsu.database_id = db.database_id
OPTION (RECOMPILE);
------
-- Look at log file size and usage, along with the log reuse wait description for the current database
-- Get VLF Count for current database (Query 17) (VLF Counts)
SELECT [name] AS [Database Name], [VLF Count]
FROM sys.databases AS db WITH (NOLOCK)
CROSS APPLY (SELECT file_id, COUNT(*) AS [VLF Count]
FROM sys.dm_db_log_info(db.database_id)
GROUP BY file_id) AS li
WHERE [name] <> N'master'
ORDER BY [VLF Count] DESC OPTION (RECOMPILE);
------
-- High VLF counts can affect write performance to the log file
-- and they can make full database restores and crash recovery take much longer
-- Try to keep your VLF counts under 200 in most cases (depending on log file size)
-- Important change to VLF creation algorithm in SQL Server 2014
-- https://bit.ly/2Hsjbg4
-- Status of last VLF for current database (Query 18) (Last VLF Status)
SELECT TOP(1) DB_NAME(li.database_id) AS [Database Name], li.[file_id],
li.vlf_size_mb, li.vlf_sequence_number, li.vlf_active, li.vlf_status
FROM sys.dm_db_log_info(DB_ID()) AS li
ORDER BY vlf_sequence_number DESC OPTION (RECOMPILE);
------
-- Determine whether you will be able to shrink the transaction log file
-- vlf_status Values
-- 0 is inactive
-- 1 is initialized but unused
-- 2 is active
-- Important database properties for current database (Query 19) (Database Properties)
SELECT db.[name] AS [Database Name], db.recovery_model_desc AS [Recovery Model],
db.state_desc, db.containment_desc, db.log_reuse_wait_desc AS [Log Reuse Wait Description],
db.[compatibility_level] AS [DB Compatibility Level],
db.is_mixed_page_allocation_on, 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,
db.target_recovery_time_in_seconds, db.is_cdc_enabled, db.is_memory_optimized_elevate_to_snapshot_on,
db.delayed_durability_desc, db.is_auto_create_stats_incremental_on,
db.is_query_store_on, db.is_sync_with_backup, db.is_temporal_history_retention_enabled,
db.is_encrypted, is_result_set_caching_on, is_accelerated_database_recovery_on, is_tempdb_spill_to_remote_store
FROM sys.databases AS db WITH (NOLOCK)
WHERE db.[name] <> N'master'
ORDER BY db.[name] OPTION (RECOMPILE);
------
-- Things to look at:
-- What recovery model are you using?
-- What is the log reuse wait description?
-- What compatibility level is the database on?
-- What is the Page Verify Option? (should be CHECKSUM)
-- Is Auto Update Statistics Asynchronously enabled?
-- Is Delayed Durability enabled?
-- Get database scoped configuration values for current database (Query 20) (Database-scoped Configurations)
SELECT configuration_id, [name], [value] AS [value_for_primary]
FROM sys.database_scoped_configurations WITH (NOLOCK) OPTION (RECOMPILE);
------
-- This lets you see the value of these new properties for the current database
-- Clear plan cache for current database
-- ALTER DATABASE SCOPED CONFIGURATION CLEAR PROCEDURE_CACHE;
-- ALTER DATABASE SCOPED CONFIGURATION (Transact-SQL)
-- https://bit.ly/2sOH7nb
-- I/O Statistics by file for the current database (Query 21) (IO Stats By File)
SELECT DB_NAME(DB_ID()) AS [Database Name], df.name AS [Logical Name], vfs.[file_id], df.type_desc,
df.physical_name AS [Physical Name], CAST(vfs.size_on_disk_bytes/1048576.0 AS DECIMAL(10, 2)) AS [Size on Disk (MB)],
vfs.num_of_reads, vfs.num_of_writes, vfs.io_stall_read_ms, vfs.io_stall_write_ms,
CAST(100. * vfs.io_stall_read_ms/(vfs.io_stall_read_ms + vfs.io_stall_write_ms) AS DECIMAL(10,1)) AS [IO Stall Reads Pct],
CAST(100. * vfs.io_stall_write_ms/(vfs.io_stall_write_ms + vfs.io_stall_read_ms) AS DECIMAL(10,1)) AS [IO Stall Writes Pct],
(vfs.num_of_reads + vfs.num_of_writes) AS [Writes + Reads],
CAST(vfs.num_of_bytes_read/1048576.0 AS DECIMAL(10, 2)) AS [MB Read],
CAST(vfs.num_of_bytes_written/1048576.0 AS DECIMAL(10, 2)) AS [MB Written],
CAST(100. * vfs.num_of_reads/(vfs.num_of_reads + vfs.num_of_writes) AS DECIMAL(10,1)) AS [# Reads Pct],
CAST(100. * vfs.num_of_writes/(vfs.num_of_reads + vfs.num_of_writes) AS DECIMAL(10,1)) AS [# Write Pct],
CAST(100. * vfs.num_of_bytes_read/(vfs.num_of_bytes_read + vfs.num_of_bytes_written) AS DECIMAL(10,1)) AS [Read Bytes Pct],
CAST(100. * vfs.num_of_bytes_written/(vfs.num_of_bytes_read + vfs.num_of_bytes_written) AS DECIMAL(10,1)) AS [Written Bytes Pct]
FROM sys.dm_io_virtual_file_stats(DB_ID(), NULL) AS vfs
INNER JOIN sys.database_files AS df WITH (NOLOCK)
ON vfs.[file_id]= df.[file_id] OPTION (RECOMPILE);
------
-- This helps you characterize your workload better from an I/O perspective for this database
-- It helps you determine whether you has an OLTP or DW/DSS type of workload
-- Get recent resource usage (Query 22) (Recent Resource Usage)
SELECT end_time, dtu_limit, cpu_limit, avg_cpu_percent, avg_memory_usage_percent,
avg_data_io_percent, avg_log_write_percent, xtp_storage_percent,
max_worker_percent, max_session_percent, avg_login_rate_percent,
avg_instance_cpu_percent, avg_instance_memory_percent
FROM sys.dm_db_resource_stats WITH (NOLOCK)
ORDER BY end_time DESC OPTION (RECOMPILE);
------
-- Returns a row of usage metrics every 15 seconds, going back 64 minutes
-- The end_time column is UTC time
-- sys.dm_db_resource_stats (Azure SQL Database)
-- https://bit.ly/2HaSpKn
-- Get recent resource usage (Query 23) (Avg/Max Resource Usage)
SELECT CAST(AVG(avg_cpu_percent) AS DECIMAL(10,2)) AS [Average CPU Utilization In Percent],
CAST(MAX(avg_cpu_percent) AS DECIMAL(10,2)) AS [Maximum CPU Utilization In Percent],
CAST(AVG(avg_data_io_percent) AS DECIMAL(10,2)) AS [Average Data IO In Percent],
CAST(MAX(avg_data_io_percent) AS DECIMAL(10,2)) AS [Maximum Data IO In Percent],
CAST(AVG(avg_log_write_percent) AS DECIMAL(10,2)) AS [Average Log Write Utilization In Percent],
CAST(MAX(avg_log_write_percent) AS DECIMAL(10,2)) AS [Maximum Log Write Utilization In Percent],
CAST(AVG(avg_memory_usage_percent) AS DECIMAL(10,2)) AS [Average Memory Usage In Percent],
CAST(MAX(avg_memory_usage_percent) AS DECIMAL(10,2)) AS [Maximum Memory Usage In Percent]
FROM sys.dm_db_resource_stats WITH (NOLOCK) OPTION (RECOMPILE);
------
-- Isolate top waits for this database since last restart or failover (Query 24) (Top DB Waits)
WITH [Waits]
AS (SELECT wait_type, wait_time_ms/ 1000.0 AS [WaitS],
(wait_time_ms - signal_wait_time_ms) / 1000.0 AS [ResourceS],
signal_wait_time_ms / 1000.0 AS [SignalS],
waiting_tasks_count AS [WaitCount],
100.0 * wait_time_ms / SUM (wait_time_ms) OVER() AS [Percentage],
ROW_NUMBER() OVER(ORDER BY wait_time_ms DESC) AS [RowNum]
FROM sys.dm_db_wait_stats WITH (NOLOCK)
WHERE [wait_type] NOT IN (
N'BROKER_EVENTHANDLER', N'BROKER_RECEIVE_WAITFOR', N'BROKER_TASK_STOP',
N'BROKER_TO_FLUSH', N'BROKER_TRANSMITTER', N'CHECKPOINT_QUEUE',
N'CHKPT', N'CLR_AUTO_EVENT', N'CLR_MANUAL_EVENT', N'CLR_SEMAPHORE',
N'DBMIRROR_DBM_EVENT', N'DBMIRROR_EVENTS_QUEUE', N'DBMIRROR_WORKER_QUEUE',
N'DBMIRRORING_CMD', N'DIRTY_PAGE_POLL', N'DISPATCHER_QUEUE_SEMAPHORE',
N'EXECSYNC', N'FSAGENT', N'FT_IFTS_SCHEDULER_IDLE_WAIT', N'FT_IFTSHC_MUTEX',
N'HADR_CLUSAPI_CALL', N'HADR_FILESTREAM_IOMGR_IOCOMPLETION', N'HADR_LOGCAPTURE_WAIT',
N'HADR_NOTIFICATION_DEQUEUE', N'HADR_TIMER_TASK', N'HADR_WORK_QUEUE',
N'KSOURCE_WAKEUP', N'LAZYWRITER_SLEEP', N'LOGMGR_QUEUE',
N'MEMORY_ALLOCATION_EXT', N'ONDEMAND_TASK_QUEUE',
N'PREEMPTIVE_HADR_LEASE_MECHANISM', N'PREEMPTIVE_SP_SERVER_DIAGNOSTICS',
N'PREEMPTIVE_ODBCOPS',
N'PREEMPTIVE_OS_LIBRARYOPS', N'PREEMPTIVE_OS_COMOPS', N'PREEMPTIVE_OS_CRYPTOPS',
N'PREEMPTIVE_OS_PIPEOPS', N'PREEMPTIVE_OS_AUTHENTICATIONOPS',
N'PREEMPTIVE_OS_GENERICOPS', N'PREEMPTIVE_OS_VERIFYTRUST',
N'PREEMPTIVE_OS_FILEOPS', N'PREEMPTIVE_OS_DEVICEOPS', N'PREEMPTIVE_OS_QUERYREGISTRY',
N'PREEMPTIVE_OS_WRITEFILE',
N'PREEMPTIVE_XE_CALLBACKEXECUTE', N'PREEMPTIVE_XE_DISPATCHER',
N'PREEMPTIVE_XE_GETTARGETSTATE', N'PREEMPTIVE_XE_SESSIONCOMMIT',
N'PREEMPTIVE_XE_TARGETINIT', N'PREEMPTIVE_XE_TARGETFINALIZE',
N'PREEMPTIVE_XHTTP',
N'PWAIT_ALL_COMPONENTS_INITIALIZED', N'PWAIT_DIRECTLOGCONSUMER_GETNEXT',
N'QDS_PERSIST_TASK_MAIN_LOOP_SLEEP',
N'QDS_ASYNC_QUEUE',
N'QDS_CLEANUP_STALE_QUERIES_TASK_MAIN_LOOP_SLEEP', N'REQUEST_FOR_DEADLOCK_SEARCH',
N'RESOURCE_GOVERNOR_IDLE',
N'RESOURCE_QUEUE', N'SERVER_IDLE_CHECK', N'SLEEP_BPOOL_FLUSH', N'SLEEP_DBSTARTUP',
N'SLEEP_DCOMSTARTUP', N'SLEEP_MASTERDBREADY', N'SLEEP_MASTERMDREADY',
N'SLEEP_MASTERUPGRADED', N'SLEEP_MSDBSTARTUP', N'SLEEP_SYSTEMTASK', N'SLEEP_TASK',
N'SLEEP_TEMPDBSTARTUP', N'SNI_HTTP_ACCEPT', N'SP_SERVER_DIAGNOSTICS_SLEEP',
N'SQLTRACE_BUFFER_FLUSH', N'SQLTRACE_INCREMENTAL_FLUSH_SLEEP', N'SQLTRACE_WAIT_ENTRIES',
N'WAIT_FOR_RESULTS', N'WAITFOR', N'WAITFOR_TASKSHUTDOWN', N'WAIT_XTP_HOST_WAIT',
N'WAIT_XTP_OFFLINE_CKPT_NEW_LOG', N'WAIT_XTP_CKPT_CLOSE', N'WAIT_XTP_RECOVERY',
N'XE_BUFFERMGR_ALLPROCESSED_EVENT', N'XE_DISPATCHER_JOIN',
N'XE_DISPATCHER_WAIT', N'XE_LIVE_TARGET_TVF', N'XE_TIMER_EVENT')
AND waiting_tasks_count > 0)
SELECT
MAX (W1.wait_type) AS [WaitType],
CAST (MAX (W1.Percentage) AS DECIMAL (5,2)) AS [Wait Percentage],
CAST ((MAX (W1.WaitS) / MAX (W1.WaitCount)) AS DECIMAL (16,4)) AS [AvgWait_Sec],
CAST ((MAX (W1.ResourceS) / MAX (W1.WaitCount)) AS DECIMAL (16,4)) AS [AvgRes_Sec],
CAST ((MAX (W1.SignalS) / MAX (W1.WaitCount)) AS DECIMAL (16,4)) AS [AvgSig_Sec],
CAST (MAX (W1.WaitS) AS DECIMAL (16,2)) AS [Total_Wait_Sec],
CAST (MAX (W1.ResourceS) AS DECIMAL (16,2)) AS [Resource_Sec],
CAST (MAX (W1.SignalS) AS DECIMAL (16,2)) AS [Signal_Sec],
MAX (W1.WaitCount) AS [Wait Count]
FROM Waits AS W1
INNER JOIN Waits AS W2
ON W2.RowNum <= W1.RowNum
GROUP BY W1.RowNum
HAVING SUM (W2.Percentage) - MAX (W1.Percentage) < 99 -- percentage threshold
OPTION (RECOMPILE);
------
-- Cumulative wait stats are not as useful on an idle instance that is not under load or performance pressure
-- SQL Server Wait Types Library
-- https://bit.ly/2ePzYO2
-- The SQL Server Wait Type Repository
-- https://bit.ly/1afzfjC
-- Wait statistics, or please tell me where it hurts
-- https://bit.ly/2wsQHQE
-- SQL Server 2005 Performance Tuning using the Waits and Queues
-- https://bit.ly/1o2NFoF
-- sys.dm_db_wait_stats (Azure SQL Database)
-- https://bit.ly/2HoJOoT
-- Get most frequently executed queries for this database (Query 25) (Query Execution Counts)
SELECT TOP(50) LEFT(t.[text], 50) AS [Short Query Text], qs.execution_count AS [Execution Count],
qs.total_logical_reads AS [Total Logical Reads],
qs.total_logical_reads/qs.execution_count AS [Avg Logical Reads],
qs.total_worker_time AS [Total Worker Time],
qs.total_worker_time/qs.execution_count AS [Avg Worker Time],
qs.total_elapsed_time AS [Total Elapsed Time],
qs.total_elapsed_time/qs.execution_count AS [Avg Elapsed Time],
CASE WHEN CONVERT(nvarchar(max), qp.query_plan) LIKE N'%<MissingIndexes>%' THEN 1 ELSE 0 END AS [Has Missing Index],
qs.creation_time AS [Creation Time]
--,t.[text] AS [Complete Query Text], qp.query_plan AS [Query Plan] -- uncomment out these columns if not copying results to Excel
FROM sys.dm_exec_query_stats AS qs WITH (NOLOCK)
CROSS APPLY sys.dm_exec_sql_text(plan_handle) AS t
CROSS APPLY sys.dm_exec_query_plan(plan_handle) AS qp
WHERE t.dbid = DB_ID()
ORDER BY qs.execution_count DESC OPTION (RECOMPILE);
------
-- Get top total worker time queries for this database (Query 26) (Top Worker Time Queries)
SELECT TOP(50) DB_NAME(t.[dbid]) AS [Database Name],
REPLACE(REPLACE(LEFT(t.[text], 50), CHAR(10),''), CHAR(13),'') AS [Short Query Text],
qs.total_worker_time AS [Total Worker Time], qs.min_worker_time AS [Min Worker Time],
qs.total_worker_time/qs.execution_count AS [Avg Worker Time],
qs.max_worker_time AS [Max Worker Time],
qs.min_elapsed_time AS [Min Elapsed Time],
qs.total_elapsed_time/qs.execution_count AS [Avg Elapsed Time],
qs.max_elapsed_time AS [Max Elapsed Time],
qs.min_logical_reads AS [Min Logical Reads],
qs.total_logical_reads/qs.execution_count AS [Avg Logical Reads],
qs.max_logical_reads AS [Max Logical Reads],
qs.execution_count AS [Execution Count],
CASE WHEN CONVERT(nvarchar(max), qp.query_plan) LIKE N'%<MissingIndexes>%' THEN 1 ELSE 0 END AS [Has Missing Index],
qs.creation_time AS [Creation Time]
--,t.[text] AS [Query Text], qp.query_plan AS [Query Plan] -- uncomment out these columns if not copying results to Excel
FROM sys.dm_exec_query_stats AS qs WITH (NOLOCK)
CROSS APPLY sys.dm_exec_sql_text(plan_handle) AS t
CROSS APPLY sys.dm_exec_query_plan(plan_handle) AS qp
WHERE t.dbid = DB_ID()
ORDER BY qs.total_worker_time DESC OPTION (RECOMPILE);
------
-- Helps you find the most expensive queries from a CPU perspective for this database
-- Can also help track down parameter sniffing issues
-- Get top total logical reads queries for this database (Query 27) (Top Logical Reads Queries)
SELECT TOP(50) DB_NAME(t.[dbid]) AS [Database Name],
REPLACE(REPLACE(LEFT(t.[text], 50), CHAR(10),''), CHAR(13),'') AS [Short Query Text],
qs.total_logical_reads AS [Total Logical Reads],
qs.min_logical_reads AS [Min Logical Reads],
qs.total_logical_reads/qs.execution_count AS [Avg Logical Reads],
qs.max_logical_reads AS [Max Logical Reads],
qs.min_worker_time AS [Min Worker Time],
qs.total_worker_time/qs.execution_count AS [Avg Worker Time],
qs.max_worker_time AS [Max Worker Time],
qs.min_elapsed_time AS [Min Elapsed Time],
qs.total_elapsed_time/qs.execution_count AS [Avg Elapsed Time],
qs.max_elapsed_time AS [Max Elapsed Time],
qs.execution_count AS [Execution Count],
CASE WHEN CONVERT(nvarchar(max), qp.query_plan) LIKE N'%<MissingIndexes>%' THEN 1 ELSE 0 END AS [Has Missing Index],
qs.creation_time AS [Creation Time]
--,t.[text] AS [Complete Query Text], qp.query_plan AS [Query Plan] -- uncomment out these columns if not copying results to Excel
FROM sys.dm_exec_query_stats AS qs WITH (NOLOCK)
CROSS APPLY sys.dm_exec_sql_text(plan_handle) AS t
CROSS APPLY sys.dm_exec_query_plan(plan_handle) AS qp
WHERE t.dbid = DB_ID()
ORDER BY qs.total_logical_reads DESC OPTION (RECOMPILE);
------
-- Helps you find the most expensive queries from a memory perspective for this database
-- Can also help track down parameter sniffing issues
-- Get top average elapsed time queries for this database (Query 28) (Top Avg Elapsed Time Queries)
SELECT TOP(50) DB_NAME(t.[dbid]) AS [Database Name],
REPLACE(REPLACE(LEFT(t.[text], 255), CHAR(10),''), CHAR(13),'') AS [Short Query Text],
qs.total_elapsed_time/qs.execution_count AS [Avg Elapsed Time],
qs.min_elapsed_time, qs.max_elapsed_time, qs.last_elapsed_time,
qs.execution_count AS [Execution Count],
qs.total_logical_reads/qs.execution_count AS [Avg Logical Reads],
qs.total_physical_reads/qs.execution_count AS [Avg Physical Reads],
qs.total_worker_time/qs.execution_count AS [Avg Worker Time],
CASE WHEN CONVERT(nvarchar(max), qp.query_plan) LIKE N'%<MissingIndexes>%' THEN 1 ELSE 0 END AS [Has Missing Index],
qs.creation_time AS [Creation Time]
, qp.query_plan AS [Query Plan] -- comment out this column if copying results to Excel
FROM sys.dm_exec_query_stats AS qs WITH (NOLOCK)
CROSS APPLY sys.dm_exec_sql_text(plan_handle) AS t
CROSS APPLY sys.dm_exec_query_plan(plan_handle) AS qp
WHERE t.dbid = DB_ID()
ORDER BY qs.total_elapsed_time/qs.execution_count DESC OPTION (RECOMPILE);
------
-- Helps you find the highest average elapsed time queries for this database
-- Can also help track down parameter sniffing issues
-- Top Cached SPs By Execution Count (Query 29) (SP Execution Counts)
SELECT TOP(100) p.name AS [SP Name], qs.execution_count AS [Execution Count],
ISNULL(qs.execution_count/DATEDIFF(Minute, qs.cached_time, GETDATE()), 0) AS [Calls/Minute],
qs.total_elapsed_time/qs.execution_count AS [Avg Elapsed Time],
qs.total_worker_time/qs.execution_count AS [Avg Worker Time],
qs.total_logical_reads/qs.execution_count AS [Avg Logical Reads],
CASE WHEN CONVERT(nvarchar(max), qp.query_plan) LIKE N'%<MissingIndexes>%' THEN 1 ELSE 0 END AS [Has Missing Index],
FORMAT(qs.last_execution_time, 'yyyy-MM-dd HH:mm:ss', 'en-US') AS [Last Execution Time],
FORMAT(qs.cached_time, 'yyyy-MM-dd HH:mm:ss', 'en-US') AS [Plan Cached Time]
-- ,qp.query_plan AS [Query Plan] -- Uncomment if you want the Query Plan
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]
CROSS APPLY sys.dm_exec_query_plan(qs.plan_handle) AS qp
WHERE qs.database_id = DB_ID()
AND DATEDIFF(Minute, qs.cached_time, GETDATE()) > 0
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 (Query 30) (SP Avg Elapsed Time)
SELECT TOP(25) p.name AS [SP Name], qs.min_elapsed_time, qs.total_elapsed_time/qs.execution_count AS [avg_elapsed_time],
qs.max_elapsed_time, qs.last_elapsed_time, qs.total_elapsed_time, qs.execution_count,
ISNULL(qs.execution_count/DATEDIFF(Minute, qs.cached_time, GETDATE()), 0) AS [Calls/Minute],
qs.total_worker_time/qs.execution_count AS [AvgWorkerTime],
qs.total_worker_time AS [TotalWorkerTime],
CASE WHEN CONVERT(nvarchar(max), qp.query_plan) LIKE N'%<MissingIndexes>%' THEN 1 ELSE 0 END AS [Has Missing Index],
FORMAT(qs.last_execution_time, 'yyyy-MM-dd HH:mm:ss', 'en-US') AS [Last Execution Time],
FORMAT(qs.cached_time, 'yyyy-MM-dd HH:mm:ss', 'en-US') AS [Plan Cached Time]
-- ,qp.query_plan AS [Query Plan] -- Uncomment if you want the Query Plan
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]
CROSS APPLY sys.dm_exec_query_plan(qs.plan_handle) AS qp
WHERE qs.database_id = DB_ID()
AND DATEDIFF(Minute, qs.cached_time, GETDATE()) > 0
ORDER BY avg_elapsed_time DESC OPTION (RECOMPILE);
------
-- This helps you find high average elapsed time cached stored procedures that
-- may be easy to optimize with standard query tuning techniques
-- Top Cached SPs By Total Worker time. Worker time relates to CPU cost (Query 31) (SP Worker Time)
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(Minute, qs.cached_time, GETDATE()), 0) AS [Calls/Minute],
qs.total_elapsed_time, qs.total_elapsed_time/qs.execution_count AS [avg_elapsed_time],
CASE WHEN CONVERT(nvarchar(max), qp.query_plan) LIKE N'%<MissingIndexes>%' THEN 1 ELSE 0 END AS [Has Missing Index],
FORMAT(qs.last_execution_time, 'yyyy-MM-dd HH:mm:ss', 'en-US') AS [Last Execution Time],
FORMAT(qs.cached_time, 'yyyy-MM-dd HH:mm:ss', 'en-US') AS [Plan Cached Time]
-- ,qp.query_plan AS [Query Plan] -- Uncomment if you want the Query Plan
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]
CROSS APPLY sys.dm_exec_query_plan(qs.plan_handle) AS qp
WHERE qs.database_id = DB_ID()
AND DATEDIFF(Minute, qs.cached_time, GETDATE()) > 0
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. Logical reads relate to memory pressure (Query 32) (SP Logical Reads)
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(Minute, qs.cached_time, GETDATE()), 0) AS [Calls/Minute],
qs.total_elapsed_time, qs.total_elapsed_time/qs.execution_count AS [avg_elapsed_time],
CASE WHEN CONVERT(nvarchar(max), qp.query_plan) LIKE N'%<MissingIndexes>%' THEN 1 ELSE 0 END AS [Has Missing Index],
FORMAT(qs.last_execution_time, 'yyyy-MM-dd HH:mm:ss', 'en-US') AS [Last Execution Time],
FORMAT(qs.cached_time, 'yyyy-MM-dd HH:mm:ss', 'en-US') AS [Plan Cached Time]
-- ,qp.query_plan AS [Query Plan] -- Uncomment if you want the Query Plan
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]
CROSS APPLY sys.dm_exec_query_plan(qs.plan_handle) AS qp
WHERE qs.database_id = DB_ID()
AND DATEDIFF(Minute, qs.cached_time, GETDATE()) > 0
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. Physical reads relate to disk read I/O pressure (Query 33) (SP Physical Reads)
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],
CASE WHEN CONVERT(nvarchar(max), qp.query_plan) LIKE N'%<MissingIndexes>%' THEN 1 ELSE 0 END AS [Has Missing Index],
FORMAT(qs.last_execution_time, 'yyyy-MM-dd HH:mm:ss', 'en-US') AS [Last Execution Time],
FORMAT(qs.cached_time, 'yyyy-MM-dd HH:mm:ss', 'en-US') AS [Plan Cached Time]
-- ,qp.query_plan AS [Query Plan] -- Uncomment if you want the Query Plan
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]
CROSS APPLY sys.dm_exec_query_plan(qs.plan_handle) AS qp
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 (Query 34) (SP Logical Writes)
-- 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(Minute, qs.cached_time, GETDATE()), 0) AS [Calls/Minute],
qs.total_elapsed_time, qs.total_elapsed_time/qs.execution_count AS [avg_elapsed_time],
CASE WHEN CONVERT(nvarchar(max), qp.query_plan) LIKE N'%<MissingIndexes>%' THEN 1 ELSE 0 END AS [Has Missing Index],
FORMAT(qs.last_execution_time, 'yyyy-MM-dd HH:mm:ss', 'en-US') AS [Last Execution Time],
FORMAT(qs.cached_time, 'yyyy-MM-dd HH:mm:ss', 'en-US') AS [Plan Cached Time]
-- ,qp.query_plan AS [Query Plan] -- Uncomment if you want the Query Plan
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]
CROSS APPLY sys.dm_exec_query_plan(qs.plan_handle) AS qp
WHERE qs.database_id = DB_ID()
AND qs.total_logical_writes > 0
AND DATEDIFF(Minute, qs.cached_time, GETDATE()) > 0
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 35) (Top IO Statements)
SELECT TOP(50) OBJECT_NAME(qt.objectid, dbid) AS [SP Name],
(qs.total_logical_reads + qs.total_logical_writes) /qs.execution_count AS [Avg IO], qs.execution_count AS [Execution Count],
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 36) (Bad NC Indexes)
SELECT SCHEMA_NAME(o.[schema_id]) AS [Schema Name],
OBJECT_NAME(s.[object_id]) AS [Table Name],
i.name AS [Index Name], i.index_id,
i.is_disabled, i.is_hypothetical, i.has_filter, i.fill_factor,
s.user_updates AS [Total Writes], s.user_seeks + s.user_scans + s.user_lookups AS [Total Reads],
s.user_updates - (s.user_seeks + s.user_scans + s.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
INNER JOIN sys.objects AS o WITH (NOLOCK)
ON i.[object_id] = o.[object_id]
WHERE OBJECTPROPERTY(s.[object_id],'IsUserTable') = 1
AND s.database_id = DB_ID()
AND s.user_updates > (s.user_seeks + s.user_scans + s.user_lookups)
AND i.index_id > 1 AND i.[type_desc] = N'NONCLUSTERED'
AND i.is_primary_key = 0 AND i.is_unique_constraint = 0 AND i.is_unique = 0
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, and how long your instance has been running
-- Investigate further before dropping an index!
-- Missing Indexes for current database by Index Advantage (Query 37) (Missing Indexes)
SELECT DISTINCT CONVERT(decimal(18,2), 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,
OBJECT_NAME(mid.[object_id]) AS [Table Name], p.rows AS [Table Rows]
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
INNER JOIN sys.partitions AS p WITH (NOLOCK)
ON p.[object_id] = mid.[object_id]
WHERE mid.database_id = DB_ID()
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 38) (Missing Index Warnings)
-- Note: This query could take some time on a busy instance
SELECT TOP(25) OBJECT_NAME(objectid) AS [ObjectName],
cp.objtype, cp.usecounts, cp.size_in_bytes, query_plan
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 or queries
-- 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 39) (Buffer Usage)
-- Note: This query could take some time on a busy instance
SELECT SCHEMA_NAME(o.Schema_ID) AS [Schema Name],
OBJECT_NAME(p.[object_id]) AS [Object Name], p.index_id,
CAST(COUNT(*)/128.0 AS DECIMAL(10, 2)) AS [Buffer size(MB)],
COUNT(*) AS [BufferCount], p.[Rows] AS [Row Count],
p.data_compression_desc AS [Compression Type]
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.hobt_id
INNER JOIN sys.objects AS o WITH (NOLOCK)
ON p.object_id = o.object_id
WHERE b.database_id = CONVERT(int, DB_ID())
AND p.[object_id] > 100
AND OBJECT_NAME(p.[object_id]) NOT LIKE N'plan_%'
AND OBJECT_NAME(p.[object_id]) NOT LIKE N'sys%'
AND OBJECT_NAME(p.[object_id]) NOT LIKE N'xml_index_nodes%'
GROUP BY o.Schema_ID, p.[object_id], p.index_id, p.data_compression_desc, p.[Rows]
ORDER BY [BufferCount] DESC OPTION (RECOMPILE);
------
-- Tells you what tables and indexes are using the most memory in the buffer cache
-- It can help identify possible candidates for data compression
-- Get Table names, row counts, and compression status for clustered index or heap (Query 40) (Table Sizes)
SELECT SCHEMA_NAME(o.Schema_ID) AS [Schema Name], OBJECT_NAME(p.object_id) AS [ObjectName],
SUM(p.Rows) AS [RowCount], data_compression_desc AS [CompressionType]
FROM sys.partitions AS p WITH (NOLOCK)
INNER JOIN sys.objects AS o WITH (NOLOCK)
ON p.object_id = o.object_id
WHERE index_id < 2 --ignore the partitions from the non-clustered index if any
AND OBJECT_NAME(p.object_id) NOT LIKE N'sys%'
AND OBJECT_NAME(p.object_id) NOT LIKE N'spt_%'
AND OBJECT_NAME(p.object_id) NOT LIKE N'queue_%'
AND OBJECT_NAME(p.object_id) NOT LIKE N'filestream_tombstone%'
AND OBJECT_NAME(p.object_id) NOT LIKE N'fulltext%'
AND OBJECT_NAME(p.object_id) NOT LIKE N'ifts_comp_fragment%'
AND OBJECT_NAME(p.object_id) NOT LIKE N'filetable_updates%'
AND OBJECT_NAME(p.object_id) NOT LIKE N'xml_index_nodes%'
AND OBJECT_NAME(p.object_id) NOT LIKE N'sqlagent_job%'
AND OBJECT_NAME(p.object_id) NOT LIKE N'plan_persist%'
GROUP BY SCHEMA_NAME(o.Schema_ID), p.object_id, data_compression_desc
ORDER BY SUM(p.Rows) DESC OPTION (RECOMPILE);
------
-- Gives you an idea of table sizes, and possible data compression opportunities
-- Get some key table properties (Query 41) (Table Properties)
SELECT OBJECT_NAME(t.[object_id]) AS [ObjectName], p.[rows] AS [Table Rows], p.index_id,
p.data_compression_desc AS [Index Data Compression],
t.create_date, t.lock_on_bulk_load, t.lock_escalation_desc,
t.is_memory_optimized, t.durability_desc,
t.temporal_type_desc
FROM sys.tables AS t WITH (NOLOCK)
INNER JOIN sys.partitions AS p WITH (NOLOCK)
ON t.[object_id] = p.[object_id]
WHERE OBJECT_NAME(t.[object_id]) NOT LIKE N'sys%'
ORDER BY OBJECT_NAME(t.[object_id]), p.index_id OPTION (RECOMPILE);
------
-- Gives you some good information about your tables
-- is_memory_optimized and durability_desc were new in SQL Server 2014
-- temporal_type_desc, is_remote_data_archive_enabled, is_external are new in SQL Server 2016
-- sys.tables (Transact-SQL)
-- https://bit.ly/2Gk7998
-- When were Statistics last updated on all indexes? (Query 42) (Statistics Update)
SELECT SCHEMA_NAME(o.Schema_ID) + N'.' + o.[NAME] AS [Object Name], o.[type_desc] AS [Object Type],
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, s.is_incremental, s.is_temporary,
st.row_count, st.used_page_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] IN ('U', 'V')
AND st.row_count > 0
ORDER BY STATS_DATE(i.[object_id], i.index_id) DESC OPTION (RECOMPILE);
------
-- Helps discover possible problems with out-of-date statistics
-- Also gives you an idea which indexes are the most active
-- sys.stats (Transact-SQL)
-- https://bit.ly/2GyAxrn
-- Look at most frequently modified indexes and statistics (Query 43) (Volatile Indexes)
SELECT o.[name] AS [Object Name], o.[object_id], o.[type_desc], s.[name] AS [Statistics Name],
s.stats_id, s.no_recompute, s.auto_created, s.is_incremental, s.is_temporary,
sp.modification_counter, sp.[rows], sp.rows_sampled, sp.last_updated
FROM sys.objects AS o WITH (NOLOCK)
INNER JOIN sys.stats AS s WITH (NOLOCK)
ON s.object_id = o.object_id
CROSS APPLY sys.dm_db_stats_properties(s.object_id, s.stats_id) AS sp
WHERE o.[type_desc] NOT IN (N'SYSTEM_TABLE', N'INTERNAL_TABLE')
AND sp.modification_counter > 0
ORDER BY sp.modification_counter DESC, o.name OPTION (RECOMPILE);
------
-- This helps you understand your workload and make better decisions about
-- things like data compression and adding new indexes to a table
-- Get fragmentation info for all indexes above a certain size in the current database (Query 44) (Index Fragmentation)
-- Note: This query could take some time on a very large database
SELECT DB_NAME(ps.database_id) AS [Database Name], SCHEMA_NAME(o.[schema_id]) AS [Schema Name],
OBJECT_NAME(ps.OBJECT_ID) AS [Object Name], i.[name] AS [Index Name], ps.index_id,
ps.index_type_desc, ps.avg_fragmentation_in_percent,
ps.fragment_count, ps.page_count, i.fill_factor, i.has_filter,
i.filter_definition, i.[allow_page_locks]
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
INNER JOIN sys.objects AS o WITH (NOLOCK)
ON i.[object_id] = o.[object_id]
WHERE ps.database_id = DB_ID()
AND ps.page_count > 2500
ORDER BY ps.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 45) (Overall Index Usage - Reads)
SELECT OBJECT_NAME(i.[object_id]) AS [ObjectName], i.[name] AS [IndexName], i.index_id,
s.user_seeks, s.user_scans, s.user_lookups,
s.user_seeks + s.user_scans + s.user_lookups AS [Total Reads],