Glenn's Performance queries his URL is below for all versions

SQL Server Diagnostic Information Queries for February 2024

SQL Server 2022 Diagnostic Information Queries

— SQL Server 2022 Diagnostic Information Queries
— Glenn Berry
— Last Modified: April 1, 2025
— https://glennsqlperformance.com/
— https://sqlserverperformance.wordpress.com/
— YouTube: https://bit.ly/2PkoAM1
— Blue Sky: https://bsky.app/profile/glennalanberry.bsky.social

— Diagnostic Queries are available here
— https://glennsqlperformance.com/resources/

— YouTube video demonstrating these queries
— https://bit.ly/3aXNDzJ

— Please make sure you are using the correct version of these diagnostic queries for your version of SQL Server

— 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://docs.dbatools.io/Invoke-DbaDiagnosticQuery

—
–* Copyright (C) 2025 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.
–*
—

— Check the major product version to see if it is SQL Server 2022 CTP 2 or greater
IF NOT EXISTS (SELECT * WHERE CONVERT(varchar(128), SERVERPROPERTY(‘ProductMajorVersion’)) = ’16’)
BEGIN
DECLARE @ProductVersion varchar(128) = CONVERT(varchar(128), SERVERPROPERTY(‘ProductVersion’));
RAISERROR (‘Script does not match the ProductVersion [%s] of this instance. Many of these queries may not work on this version.’ , 18 , 16 , @ProductVersion);
END
ELSE
PRINT N’You have the correct major version of SQL Server for this diagnostic information script’;

— Instance level queries ***

— SQL and OS Version information for current instance (Query 1) (Version Info)

— SQL Server 2022 will fall out of Mainstream Support on Jan 11, 2028
— SQL Server 2022 will fall out of Extended Support on Jan 11, 2033

SELECT @@SERVERNAME AS [Server Name], @@VERSION AS [SQL Server and OS Version Info];

— What’s new in SQL Server 2022 (16.x)
— https://bit.ly/3MJEjR1

— How to determine the version, edition and update level of SQL Server and its components
— https://bit.ly/2oAjKgW

— Announcing the Modern Servicing Model for SQL Server
— https://bit.ly/2KtJ8SS

— Update Center for Microsoft SQL Server
— https://bit.ly/2pZptuQ

— Download SQL Server Management Studio (SSMS)
— https://bit.ly/1OcupT9

— SQL Server 2022 Configuration Manager is SQLServerManager16.msc

— SQL Server troubleshooting (Microsoft documentation resources)
— http://bit.ly/2YY0pb1

— Get socket, physical core and logical core count from the SQL Server Error log. (Query 2) (Core Counts)
— This query might take a few seconds depending on the size of your error log

EXEC sys.xp_readerrorlog 0, 1, N’detected’, N’socket’;

— This can help you determine the exact core counts used by SQL Server and whether HT is enabled or not
— It can also help you confirm your SQL Server licensing model
— Be on the lookout for this message “using 40 logical processors based on SQL Server licensing”
— (when you have more than 40 logical cores) which means grandfathered Server/CAL licensing
— This query will return no results if your error log has been recycled since the instance was last started

— Get selected server properties (Query 3) (Server Properties)
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], — What servicing branch (RTM/SP/CU)
SERVERPROPERTY(‘ProductUpdateLevel’) AS [ProductUpdateLevel], — Within a servicing branch, what CU# is applied
SERVERPROPERTY(‘ProductVersion’) AS [ProductVersion],
SERVERPROPERTY(‘ProductMajorVersion’) AS [ProductMajorVersion],
SERVERPROPERTY(‘ProductMinorVersion’) AS [ProductMinorVersion],
SERVERPROPERTY(‘ProductBuild’) AS [ProductBuild],
SERVERPROPERTY(‘ProductBuildType’) AS [ProductBuildType], — Is this a GDR or OD hotfix (NULL if on a CU build)
SERVERPROPERTY(‘ProductUpdateReference’) AS [ProductUpdateReference], — KB article number that is applicable for this build
SERVERPROPERTY(‘ProcessID’) AS [ProcessID],
SERVERPROPERTY(‘Collation’) AS [Collation],
SERVERPROPERTY(‘IsFullTextInstalled’) AS [IsFullTextInstalled],
SERVERPROPERTY(‘IsIntegratedSecurityOnly’) AS [IsIntegratedSecurityOnly],
SERVERPROPERTY(‘FilestreamConfiguredLevel’) AS [FilestreamConfiguredLevel],
SERVERPROPERTY(‘IsHadrEnabled’) AS [IsHadrEnabled],
SERVERPROPERTY(‘HadrManagerStatus’) AS [HadrManagerStatus],
SERVERPROPERTY(‘InstanceDefaultDataPath’) AS [InstanceDefaultDataPath],
SERVERPROPERTY(‘InstanceDefaultLogPath’) AS [InstanceDefaultLogPath],
SERVERPROPERTY(‘InstanceDefaultBackupPath’) AS [InstanceDefaultBackupPath],
SERVERPROPERTY(‘ErrorLogFileName’) AS [ErrorLogFileName],
SERVERPROPERTY(‘BuildClrVersion’) AS [Build CLR Version],
SERVERPROPERTY(‘IsXTPSupported’) AS [IsXTPSupported],
SERVERPROPERTY(‘IsPolybaseInstalled’) AS [IsPolybaseInstalled],
SERVERPROPERTY(‘IsAdvancedAnalyticsInstalled’) AS [IsRServicesInstalled],
SERVERPROPERTY(‘IsTempdbMetadataMemoryOptimized’) AS [IsTempdbMetadataMemoryOptimized],
SERVERPROPERTY(‘IsServerSuspendedForSnapshotBackup’) AS [IsServerSuspendedForSnapshotBackup],

SERVERPROPERTY(‘SuspendedDatabaseCount’) AS [SuspendedDatabaseCount];

— This gives you a lot of useful information about your instance of SQL Server,
— such as the ProcessID for SQL Server and your collation
— Note: Some columns will be NULL on older SQL Server builds

— SERVERPROPERTY(‘IsServerSuspendedForSnapshotBackup’) is a new option for SQL Server 2022
— SERVERPROPERTY(‘SuspendedDatabaseCount’) is a new option for SQL Server 2022

— SERVERPROPERTY (Transact-SQL)
— https://bit.ly/2eeaXeI

— Get instance-level configuration values for instance (Query 4) (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);

— Focus on these settings:
— automatic soft-NUMA disabled (should be 0 in most cases)
— backup checksum default (should be 1)
— backup compression algorithm
— backup compression default (should be 1 in most cases)
— clr enabled (only enable if it is needed)
— cost threshold for parallelism (depends on your workload)
— lightweight pooling (should be zero)
— max degree of parallelism (depends on your workload and hardware)
— max server memory (MB) (set to an appropriate value, not the default)
— optimize for ad hoc workloads (should be 1)
— priority boost (should be zero)
— remote admin connections (should be 1)
— tempdb metadata memory-optimized (0 by default, some workloads may benefit by enabling)

— sys.configurations (Transact-SQL)
— https://bit.ly/2HsyDZI

— New in SQL Server 2022 *
— ADR Cleaner Thread Count Max number of threads ADR cleaner can assign
— backup compression algorithm Configure backup compression algorithm
— Data processed daily limit in TB SQL On-demand data processed daily limit in TB
— Data processed monthly limit in TB SQL On-demand data processed monthly limit in TB
— Data processed weekly limit in TB SQL On-demand data processed weekly limit in TB
— hardware offload config Offload processing to specialized hardware
— max RPC request params (KB) Maximum memory for RPC request parameters (kBytes) (added in CU13)
— openrowset auto_create_statistics Enable or disable auto create statistics for openrowset sources.
— suppress recovery model errors Return warning instead of error for unsupported ALTER DATABASE SET RECOVERY command

— Returns a list of all global trace flags that are enabled (Query 5) (Global Trace Flags)

DBCC TRACESTATUS (-1);

— If no global trace flags are enabled, no results will be returned.
— It is very useful to know what global trace flags are currently enabled as part of the diagnostic process.

— Common trace flags that should be enabled in most cases
— TF 3226 – Suppresses logging of successful database backup messages to the SQL Server Error Log
— https://bit.ly/38zDNAK

— TF 6534 – Enables use of native code to improve performance with spatial data. This is a startup trace flag only
— https://bit.ly/2HrQUpU

— TF 7745 – Prevents Query Store data from being written to disk in case of a failover or shutdown command
— https://bit.ly/2GU69Km

— DBCC TRACEON – Trace Flags (Transact-SQL)
— https://bit.ly/2FuSvPg

— SQL Server Process Address space info (Query 6) (Process Memory)
— (shows whether locked pages is enabled, among other things)
SELECT physical_memory_in_use_kb/1024 AS [SQL Server Memory Usage (MB)],
locked_page_allocations_kb/1024 AS [SQL Server Locked Pages Allocation (MB)],
large_page_allocations_kb/1024 AS [SQL Server Large Pages Allocation (MB)],
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
— If locked_page_allocations_kb > 0, then LPIM is enabled

— sys.dm_os_process_memory (Transact-SQL)
— https://bit.ly/3iUgQgC

— How to enable the “locked pages” feature in SQL Server 2012
— https://bit.ly/2F5UjOA

— Memory Management Architecture Guide
— https://bit.ly/2JKkadC

— SQL Server Services information (Query 7) (SQL Server Services Info)
SELECT servicename, process_id, startup_type_desc, status_desc,
last_startup_time, service_account, is_clustered, cluster_nodename, [filename],
instant_file_initialization_enabled

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 the process_id, when they were last started, and their current status
— Also shows whether you are running on a failover cluster instance, and what node you are running on
— Also shows whether IFI is enabled

— sys.dm_server_services (Transact-SQL)
— https://bit.ly/2oKa1Un

— Last backup information by database (Query 8) (Last Backup By Database)
SELECT ISNULL(d.[name], bs.[database_name]) AS [Database], d.recovery_model_desc AS [Recovery Model],
d.log_reuse_wait_desc AS [Log Reuse Wait Desc],
CONVERT(DECIMAL(18,2), ds.cntr_value/1024.0) AS [Total Data File Size on Disk (MB)],
CONVERT(DECIMAL(18,2), ls.cntr_value/1024.0) AS [Total Log File Size on Disk (MB)],
CAST(CAST(lu.cntr_value AS FLOAT) / CAST(ls.cntr_value AS FLOAT) AS DECIMAL(18,2)) * 100 AS [Log Used %],
MAX(CASE WHEN bs.[type] = ‘D’ THEN bs.backup_finish_date ELSE NULL END) AS [Last Full Backup],
MAX(CASE WHEN bs.[type] = ‘D’ THEN CONVERT (BIGINT, bs.compressed_backup_size / 1048576 ) ELSE NULL END) AS [Last Full Compressed Backup Size (MB)],
MAX(CASE WHEN bs.[type] = ‘D’ THEN CONVERT (DECIMAL(18,2), bs.backup_size /bs.compressed_backup_size ) ELSE NULL END) AS [Backup Compression Ratio],
MAX(CASE WHEN bs.[type] = ‘D’ THEN bs.compression_algorithm ELSE NULL END) AS [Last Full Backup Compression Algorithm],
MAX(CASE WHEN bs.[type] = ‘I’ THEN bs.backup_finish_date ELSE NULL END) AS [Last Differential Backup],
MAX(CASE WHEN bs.[type] = ‘L’ THEN bs.backup_finish_date ELSE NULL END) AS [Last Log Backup],
MAX(CASE WHEN bs.[type] = ‘L’ THEN bs.last_valid_restore_time ELSE NULL END) AS [Last Valid Restore Time],
DATABASEPROPERTYEX ((d.[name]), ‘LastGoodCheckDbTime’) AS [Last Good CheckDB]
FROM sys.databases AS d WITH (NOLOCK)
INNER JOIN sys.master_files as mf WITH (NOLOCK)
ON d.database_id = mf.database_id
LEFT OUTER JOIN msdb.dbo.backupset AS bs WITH (NOLOCK)
ON bs.[database_name] = d.[name]
AND bs.backup_finish_date > GETDATE()- 30
LEFT OUTER JOIN sys.dm_os_performance_counters AS lu WITH (NOLOCK)
ON d.name = lu.instance_name
LEFT OUTER JOIN sys.dm_os_performance_counters AS ls WITH (NOLOCK)
ON d.name = ls.instance_name
INNER JOIN sys.dm_os_performance_counters AS ds WITH (NOLOCK)
ON d.name = ds.instance_name
WHERE d.name <> N’tempdb’
AND lu.counter_name LIKE N’Log File(s) Used Size (KB)%’
AND ls.counter_name LIKE N’Log File(s) Size (KB)%’
AND ds.counter_name LIKE N’Data File(s) Size (KB)%’
AND ls.cntr_value > 0
GROUP BY ISNULL(d.[name], bs.[database_name]), d.recovery_model_desc, d.log_reuse_wait_desc, d.[name],
CONVERT(DECIMAL(18,2), ds.cntr_value/1024.0),
CONVERT(DECIMAL(18,2), ls.cntr_value/1024.0),
CAST(CAST(lu.cntr_value AS FLOAT) / CAST(ls.cntr_value AS FLOAT) AS DECIMAL(18,2)) * 100

ORDER BY d.recovery_model_desc, d.[name] OPTION (RECOMPILE);

— This helps you spot runaway transaction logs and other issues with your backup schedule

— Get detailed accelerator status information (Query 9) (Accelerator Status)
SELECT accelerator, accelerator_desc, config, config_in_use , mode, mode_desc,
mode_reason, mode_reason_desc, accelerator_hardware_detected,
accelerator_library_version, accelerator_driver_version

FROM sys.dm_server_accelerator_status WITH (NOLOCK) OPTION (RECOMPILE);

— This shows which accelerators are present and their detailed status information

— sys.dm_server_accelerator_status (Transact-SQL)
— https://bit.ly/3B6Fczw

— How to Enable Intel QAT Backup Compression in SQL Server 2022
— https://bit.ly/3Cudwpy

— Get SQL Server Agent jobs and Category information (Query 10) (SQL Server Agent Jobs)
SELECT sj.name AS [Job Name], sj.[description] AS [Job Description],
sc.name AS [CategoryName], SUSER_SNAME(sj.owner_sid) AS [Job Owner],
sj.date_created AS [Date Created], sj.[enabled] AS [Job Enabled], h.run_status,
CONVERT(DATETIME, RTRIM(h.run_date) + ‘ ‘ + STUFF(STUFF(REPLACE(STR(RTRIM(h.run_time),6,0),’ ‘,’0′),3,0,’:’),6,0,’:’)) AS [Last Start Date],
RIGHT(STUFF(STUFF(REPLACE(STR(h.run_duration, 7, 0), ‘ ‘, ‘0’), 4, 0, ‘:’), 7, 0, ‘:’),8) AS [Last Duration – HHMMSS],
s.[name] AS [Schedule Name], s.[enabled] AS [Schedule Enabled], js.next_run_date, js.next_run_time
FROM msdb.dbo.sysjobs AS sj WITH (NOLOCK)
LEFT OUTER JOIN
(SELECT job_id, instance_id = MAX(instance_id)
FROM msdb.dbo.sysjobhistory WITH (NOLOCK)
GROUP BY job_id) AS l
ON sj.job_id = l.job_id
LEFT OUTER JOIN msdb.dbo.syscategories AS sc WITH (NOLOCK)
ON sj.category_id = sc.category_id
LEFT OUTER JOIN msdb.dbo.sysjobhistory AS h WITH (NOLOCK)
ON h.job_id = l.job_id
AND h.instance_id = l.instance_id
LEFT OUTER JOIN msdb.dbo.sysjobs_view AS jv WITH (NOLOCK)
ON jv.job_id = sj.job_id
LEFT OUTER JOIN msdb.dbo.sysjobschedules AS js WITH (NOLOCK)
ON jv.job_id = js.job_id
LEFT OUTER JOIN msdb.dbo.sysschedules AS s WITH (NOLOCK)
ON s.schedule_id = js.schedule_id

ORDER BY CONVERT(INT, h.run_duration) DESC, [Last Start Date] DESC OPTION (RECOMPILE);

–run_status
— Value Status of the job execution
— 0 = Failed
— 1 = Succeeded
— 2 = Retry
— 3 = Canceled
— 4 = In Progress

— Gives you some basic information about your SQL Server Agent jobs, who owns them and how they are configured
— Look for Agent jobs that are not owned by sa
— Look for jobs that have a notify_email_operator_id set to 0 (meaning no operator)

— Look for jobs that have a notify_level_email set to 0 (meaning no e-mail is ever sent)

— MSDN sysjobs documentation
— https://bit.ly/2paDEOP

— SQL Server Maintenance Solution (Ola Hallengren)
— https://bit.ly/1pgchQu

— You can use this script to add default schedules to the standard Ola Hallengren Maintenance Solution jobs
— https://bit.ly/3ane0gN

— Get SQL Server Agent Alert Information (Query 11) (SQL Server Agent Alerts)
SELECT name, event_source, message_id, severity, [enabled], has_notification,
delay_between_responses, occurrence_count, last_occurrence_date, last_occurrence_time
FROM msdb.dbo.sysalerts WITH (NOLOCK)

ORDER BY name OPTION (RECOMPILE);

— Gives you some basic information about your SQL Server Agent Alerts
— (which are different from SQL Server Agent jobs)
— Read more about Agent Alerts here: https://bit.ly/2v5YR37

— Host information (Query 12) (Host Info)
SELECT host_platform, host_distribution, host_release,
host_service_pack_level, host_sku, os_language_version,
host_architecture

FROM sys.dm_os_host_info WITH (NOLOCK) OPTION (RECOMPILE);

— host_release codes (only valid for Windows)
— 10.0 is either Windows 10, Windows Server 2016 or Windows Server 2019
— 6.3 is either Windows 8.1 or Windows Server 2012 R2
— 6.2 is either Windows 8 or Windows Server 2012

— host_sku codes (only valid for Windows)
— 4 is Enterprise Edition
— 7 is Standard Server Edition
— 8 is Datacenter Server Edition
— 10 is Enterprise Server Edition
— 48 is Professional Edition
— 161 is Pro for Workstations

— 1033 for os_language_version is US-English

— SQL Server 2022 requires Windows Server 2016 or newer

— Hardware and Software Requirements for Installing SQL Server
— https://bit.ly/2y3ka5L

— Using SQL Server in Windows 8 and later versions of Windows operating system
— https://bit.ly/2F7Ax0P

— SQL Server NUMA Node information (Query 13) (SQL Server NUMA Info)
SELECT osn.node_id, osn.node_state_desc, osn.memory_node_id, osn.processor_group, osn.cpu_count, osn.online_scheduler_count,
osn.idle_scheduler_count, osn.active_worker_count,
osmn.pages_kb/1024 AS [Committed Memory (MB)],
osmn.locked_page_allocations_kb/1024 AS [Locked Physical (MB)],
CONVERT(DECIMAL(18,2), osmn.foreign_committed_kb/1024.0) AS [Foreign Commited (MB)],
osmn.target_kb/1024 AS [Target Memory Goal (MB)],
osn.avg_load_balance, osn.resource_monitor_state
FROM sys.dm_os_nodes AS osn WITH (NOLOCK)
INNER JOIN sys.dm_os_memory_nodes AS osmn WITH (NOLOCK)
ON osn.memory_node_id = osmn.memory_node_id

WHERE osn.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
— Watch out if SQL Server 2022 Standard Edition has been installed
— on a physical or virtual machine with more than four sockets or more than 24 physical cores

— sys.dm_os_nodes (Transact-SQL)
— https://bit.ly/2pn5Mw8

— How to Balance SQL Server Core Licenses Across NUMA Nodes
— https://bit.ly/3i4TyVR

— Good basic information about OS memory amounts and state (Query 14) (System Memory)
SELECT total_physical_memory_kb/1024 AS [Physical Memory (MB)],
available_physical_memory_kb/1024 AS [Available Memory (MB)],
total_page_file_kb/1024 AS [Page File Commit Limit (MB)],
total_page_file_kb/1024 – total_physical_memory_kb/1024 AS [Physical Page File Size (MB)],
available_page_file_kb/1024 AS [Available Page File (MB)],
system_cache_kb/1024 AS [System Cache (MB)],
system_memory_state_desc AS [System Memory State]

FROM sys.dm_os_sys_memory WITH (NOLOCK) OPTION (RECOMPILE);

— You want to see “Available physical memory is high” for System Memory State
— This indicates that you are not under external memory pressure

— Possible System Memory State values:
— Available physical memory is high
— Physical memory usage is steady
— Available physical memory is low
— Available physical memory is running low
— Physical memory state is transitioning

— sys.dm_os_sys_memory (Transact-SQL)
— https://bit.ly/2pcV0xq

— You can skip the next two queries if you know you don’t have a clustered instance

— Get information about your cluster nodes and their status (Query 15) (Cluster Node Properties)
— (if your database server is in a failover cluster)
SELECT NodeName, status_description, is_current_owner

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 information about any AlwaysOn AG cluster this instance is a part of (Query 16) (AlwaysOn AG Cluster)
SELECT cluster_name, quorum_type_desc, quorum_state_desc

FROM sys.dm_hadr_cluster WITH (NOLOCK) OPTION (RECOMPILE);

— You will see no results if your instance is not using AlwaysOn AGs

— Good overview of AG health and status (Query 17) (AG Status)
SELECT ag.name AS [AG Name], ar.replica_server_name, ar.availability_mode_desc, adc.[database_name],
drs.is_local, drs.is_primary_replica, drs.synchronization_state_desc, drs.is_commit_participant,
drs.synchronization_health_desc, drs.recovery_lsn, drs.truncation_lsn, drs.last_sent_lsn,
drs.last_sent_time, drs.last_received_lsn, drs.last_received_time, drs.last_hardened_lsn,
drs.last_hardened_time, drs.last_redone_lsn, drs.last_redone_time, drs.log_send_queue_size,
drs.log_send_rate, drs.redo_queue_size, drs.redo_rate, drs.filestream_send_rate,
drs.end_of_log_lsn, drs.last_commit_lsn, drs.last_commit_time, drs.database_state_desc
FROM sys.dm_hadr_database_replica_states AS drs WITH (NOLOCK)
INNER JOIN sys.availability_databases_cluster AS adc WITH (NOLOCK)
ON drs.group_id = adc.group_id
AND drs.group_database_id = adc.group_database_id
INNER JOIN sys.availability_groups AS ag WITH (NOLOCK)
ON ag.group_id = drs.group_id
INNER JOIN sys.availability_replicas AS ar WITH (NOLOCK)
ON drs.group_id = ar.group_id
AND drs.replica_id = ar.replica_id
ORDER BY ag.name, ar.replica_server_name, adc.[database_name] OPTION (RECOMPILE);

— You will see no results if your instance is not using AlwaysOn AGs

— SQL Server 2016 It Just Runs Faster: Always On Availability Groups Turbocharged
— https://bit.ly/2dn1H6r

— Hardware information from SQL Server 2022 (Query 18) (Hardware Info)
SELECT cpu_count AS [Logical CPU Count], scheduler_count,
(socket_count * cores_per_socket) AS [Physical Core Count],
socket_count AS [Socket Count], cores_per_socket, numa_node_count,
physical_memory_kb/1024 AS [Physical Memory (MB)],
max_workers_count AS [Max Workers Count],
affinity_type_desc AS [Affinity Type],
sqlserver_start_time AS [SQL Server Start Time],
DATEDIFF(hour, sqlserver_start_time, GETDATE()) AS [SQL Server Up Time (hrs)],
virtual_machine_type_desc AS [Virtual Machine Type],
softnuma_configuration_desc AS [Soft NUMA Configuration],
sql_memory_model_desc,
container_type_desc

FROM sys.dm_os_sys_info WITH (NOLOCK) OPTION (RECOMPILE);

— Gives you some good basic hardware information about your database server
— Note: virtual_machine_type_desc of HYPERVISOR does not automatically mean you are running SQL Server inside of a VM
— It merely indicates that you have a hypervisor running on your host

— sys.dm_os_sys_info (Transact-SQL)
— https://bit.ly/2pczOYs

— Soft NUMA configuration was a new column for SQL Server 2016
— OFF = Soft-NUMA feature is OFF
— ON = SQL Server automatically determines the NUMA node sizes for Soft-NUMA
— MANUAL = Manually configured soft-NUMA

— Configure SQL Server to Use Soft-NUMA (SQL Server)
— https://bit.ly/2HTpKJt

— sql_memory_model_desc values (Added in SQL Server 2016 SP1)
— CONVENTIONAL
— LOCK_PAGES
— LARGE_PAGES

— Get System Manufacturer and model number from SQL Server Error log (Query 19) (System Manufacturer)

EXEC sys.xp_readerrorlog 0, 1, N’Manufacturer’;

— This can help you determine the capabilities and capacities of your database server
— Can also be used to confirm if you are running in a VM
— This query might take a few seconds if you have not recycled your error log recently
— This query will return no results if your error log has been recycled since the instance was started

— Get BIOS date from Windows Registry (Query 20) (BIOS Date)

EXEC sys.xp_instance_regread N’HKEY_LOCAL_MACHINE’, N’HARDWARE\DESCRIPTION\System\BIOS’, N’BiosReleaseDate’;

— Helps you understand whether the main system BIOS is up to date, and the possible age of the hardware
— Not as useful for virtualization
— Does not work on Linux

— Get processor description from Windows Registry (Query 21) (Processor Description)

EXEC sys.xp_instance_regread N’HKEY_LOCAL_MACHINE’, N’HARDWARE\DESCRIPTION\System\CentralProcessor\0′, N’ProcessorNameString’;

— Gives you the model number and rated clock speed of your processor(s)
— Your processors may be running at less than the rated clock speed due
— to the Windows Power Plan or hardware power management
— Does not work on Linux

— You can use CPU-Z to get your actual CPU core speed and a lot of other useful information
— https://bit.ly/QhR6xF

— You can learn more about processor selection for SQL Server by following this link
— https://bit.ly/2F3aVlP

— Get CPU vectorization level from SQL Server Error log (Query 22) (CPU Vectorization Level)
IF EXISTS (SELECT * WHERE CONVERT(VARCHAR(2), SERVERPROPERTY(‘ProductMajorVersion’)) = ’16’)
BEGIN
— Get CPU Description from Registry (only works on Windows)
DROP TABLE IF EXISTS #ProcessorDesc;
CREATE TABLE #ProcessorDesc
(RegValue NVARCHAR(50), RegKey NVARCHAR(100));

    INSERT INTO #ProcessorDesc (RegValue, RegKey)
    EXEC sys.xp_instance_regread N'HKEY_LOCAL_MACHINE', N'HARDWARE\DESCRIPTION\System\CentralProcessor\0', N'ProcessorNameString';
    DECLARE @ProcessorDesc NVARCHAR(100) = (SELECT RegKey FROM #ProcessorDesc);

    -- Get CPU Vectorization Level from SQL Server Error Log
    DROP TABLE IF EXISTS #CPUVectorizationLevel;
        CREATE TABLE #CPUVectorizationLevel
        (LogDateTime DATETIME, ProcessInfo NVARCHAR(12), LogText NVARCHAR(200));

    INSERT INTO #CPUVectorizationLevel (LogDateTime, ProcessInfo, LogText)
    EXEC sys.xp_readerrorlog 0, 1, N'CPU vectorization level';
    DECLARE @CPUVectorizationLevel NVARCHAR(200) = (SELECT LogText FROM #CPUVectorizationLevel);

    -- Get TF15097 Status
    DROP TABLE IF EXISTS #TraceFlagStatus;
        CREATE TABLE #TraceFlagStatus
        (TraceFlag smallint, TFStatus tinyint, TFGlobal tinyint, TFSession tinyint);

    INSERT INTO #TraceFlagStatus (TraceFlag, TFStatus, TFGlobal, TFSession)
    EXEC ('DBCC TRACESTATUS (15097, -1) WITH NO_INFOMSGS');
    DECLARE @TraceStatus tinyint = (SELECT TFStatus FROM #TraceFlagStatus);

    -- Return relevant results
    SELECT SERVERPROPERTY('ProductVersion') AS [Product Build], SERVERPROPERTY('Edition') AS [Edition],
           @ProcessorDesc AS [Processor Description], 
           @CPUVectorizationLevel AS [CPU Vectorization Level], @TraceStatus AS [TF 15097 Status];

    DROP TABLE IF EXISTS #ProcessorDesc;
    DROP TABLE IF EXISTS #CPUVectorizationLevel;
    DROP TABLE IF EXISTS #TraceFlagStatus;

END

— Note: TF 15097 enables AVX-512 support for SQL Server 2022 (16.x) Preview and later (if your CPU supports it)
— If you see AVX-512 in the CPU vectorization level results, you should consider enabling TF 15097
— AVX-512 support only works in Enterprise Edition

— Here are some CPU families that have good AVX-512 support:
— Intel Ice Lake and later
— AMD EYPC Genoa and later

— Get information on location, time and size of any memory dumps from SQL Server (Query 23) (Memory Dump Info)
SELECT [filename], creation_time, size_in_bytes/1048576.0 AS [Size (MB)]
FROM sys.dm_server_memory_dumps WITH (NOLOCK)

ORDER BY creation_time DESC OPTION (RECOMPILE);

— This will not return any rows if you have
— not had any memory dumps (which is a good thing)

— sys.dm_server_memory_dumps (Transact-SQL)
— https://bit.ly/2elwWll

— Look at Suspect Pages table (Query 24) (Suspect Pages)
SELECT DB_NAME(sp.database_id) AS [Database Name],
sp.[file_id], sp.page_id, sp.event_type,
sp.error_count, sp.last_update_date,
mf.name AS [Logical Name], mf.physical_name AS [File Path]
FROM msdb.dbo.suspect_pages AS sp WITH (NOLOCK)
INNER JOIN sys.master_files AS mf WITH (NOLOCK)
ON mf.database_id = sp.database_id
AND mf.file_id = sp.file_id

ORDER BY sp.database_id OPTION (RECOMPILE);

— event_type value descriptions
— 1 = 823 error caused by an operating system CRC error
— or 824 error other than a bad checksum or a torn page (for example, a bad page ID)
— 2 = Bad checksum
— 3 = Torn page
— 4 = Restored (The page was restored after it was marked bad)
— 5 = Repaired (DBCC repaired the page)
— 7 = Deallocated by DBCC

— Ideally, this query returns no results. The table is limited to 1000 rows.
— If you do get results here, you should do further investigation to determine the root cause

— Manage the suspect_pages Table
— https://bit.ly/2Fvr1c9

— Read most recent entries from all SQL Server Error Logs (Query 25) (Error Log Entries)
DROP TABLE IF EXISTS #ErrorLogFiles;
CREATE TABLE #ErrorLogFiles
([Archive #] INT,[Date] NVARCHAR(25),[Log File Size (Byte)]INT)

INSERT INTO #ErrorLogFiles
([Archive #],[Date],[Log File Size (Byte)])
EXEC master.sys.xp_enumerrorlogs;

DROP TABLE IF EXISTS #SQLErrorLog_AllLogs;
CREATE TABLE #SQLErrorLog_AllLogs
(LogDate DATETIME ,ProcessInfo NVARCHAR(12), LogText NVARCHAR(4000))

DECLARE @i INT = 0;
DECLARE @sql NVARCHAR(200) = N”;
DECLARE @logCount INT = (SELECT COUNT(*) FROM #ErrorLogFiles);

WHILE (@i < @logCount)
BEGIN
IF(@i in (SELECT [Archive #] FROM #ErrorLogFiles))
BEGIN
SET @sql = N’INSERT INTO #SQLErrorLog_AllLogs (LogDate, ProcessInfo, LogText)
EXEC master.sys.sp_readerrorlog ‘ + CAST(@i AS NVARCHAR(2)) + N’;’
EXEC master.sys.sp_executesql @sql;
END
SET @i += 1;
END

SELECT TOP(1000)LogDate, ProcessInfo, LogText
FROM #SQLErrorLog_AllLogs WITH (NOLOCK)
ORDER BY LogDate DESC OPTION (RECOMPILE);

DROP TABLE IF EXISTS #ErrorLogFiles;
DROP TABLE IF EXISTS #SQLErrorLog_AllLogs;

GO

— Get number of data files in tempdb database (Query 26) (TempDB Data Files)

EXEC sys.xp_readerrorlog 0, 1, N’The tempdb database has’;

— Get the number of data files in the tempdb database
— 4-8 data files that are all the same size is a good starting point
— This query will return no results if your error log has been recycled since the instance was last started

— Find unequal tempdb data initial file sizes (Query 27) (Tempdb Data File Sizes)
— This query might take a few seconds depending on the size of your error log

EXEC sys.xp_readerrorlog 0, 1, N’The tempdb database data files are not configured with the same initial size’;

— You want this query to return no results
— All of your tempdb data files should have the same initial size and autogrowth settings
— This query will also return no results if your error log has been recycled since the instance was last started
— KB3170020 – Informational messages added for tempdb configuration in the SQL Server error log in SQL Server 2012 and 2014
— https://bit.ly/3IsR8jh

— File names and paths for all user and system databases on instance (Query 28) (Database Filenames and Paths)
SELECT DB_NAME([database_id]) AS [Database Name],
[file_id], [name], physical_name, [type_desc], state_desc,
is_percent_growth, growth,
CONVERT(bigint, growth/128.0) AS [Growth in MB],
CONVERT(bigint, size/128.0) AS [Total Size in MB], max_size
FROM sys.master_files WITH (NOLOCK)

ORDER BY DB_NAME([database_id]), [file_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?
— Is percent growth enabled for any files (which is bad)?

— Drive information for all fixed drives visible to the operating system (Query 29) (Fixed Drives)
SELECT fixed_drive_path, drive_type_desc,
CONVERT(DECIMAL(18,2), free_space_in_bytes/1073741824.0) AS [Available Space (GB)]

FROM sys.dm_os_enumerate_fixed_drives WITH (NOLOCK) OPTION (RECOMPILE);

— This shows all of your drives, not just LUNs with SQL Server database files
— New in SQL Server 2017

— sys.dm_os_enumerate_fixed_drives (Transact-SQL)
— https://bit.ly/2EZoHLj

— Volume info for all LUNS that have database files on the current instance (Query 30) (Volume Info)
SELECT DISTINCT vs.volume_mount_point, vs.file_system_type, vs.logical_volume_name,
CONVERT(DECIMAL(18,2), vs.total_bytes/1073741824.0) AS [Total Size (GB)],
CONVERT(DECIMAL(18,2), vs.available_bytes/1073741824.0) AS [Available Size (GB)],
CONVERT(DECIMAL(18,2), vs.available_bytes * 1. / vs.total_bytes * 100.) AS [Space Free %],
vs.supports_compression, vs.is_compressed,
vs.supports_sparse_files, vs.supports_alternate_streams
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 vs.volume_mount_point OPTION (RECOMPILE);

— Shows you the total and free space on the LUNs where you have database files
— Being low on free space can negatively affect performance

— sys.dm_os_volume_stats (Transact-SQL)
— https://bit.ly/2oBPNNr

— Drive level latency information (Query 31) (Drive Level Latency)
SELECT tab.[Drive], tab.volume_mount_point AS [Volume Mount Point],
CASE
WHEN num_of_reads = 0 THEN 0
ELSE (io_stall_read_ms/num_of_reads)
END AS [Read Latency],
CASE
WHEN num_of_writes = 0 THEN 0
ELSE (io_stall_write_ms/num_of_writes)
END AS [Write Latency],
CASE
WHEN (num_of_reads = 0 AND num_of_writes = 0) THEN 0
ELSE (io_stall/(num_of_reads + num_of_writes))
END AS [Overall Latency],
CASE
WHEN num_of_reads = 0 THEN 0
ELSE (num_of_bytes_read/num_of_reads)
END AS [Avg Bytes/Read],
CASE
WHEN num_of_writes = 0 THEN 0
ELSE (num_of_bytes_written/num_of_writes)
END AS [Avg Bytes/Write],
CASE
WHEN (num_of_reads = 0 AND num_of_writes = 0) THEN 0
ELSE ((num_of_bytes_read + num_of_bytes_written)/(num_of_reads + num_of_writes))
END AS [Avg Bytes/Transfer]
FROM (SELECT LEFT(UPPER(mf.physical_name), 2) AS Drive, SUM(num_of_reads) AS num_of_reads,
SUM(io_stall_read_ms) AS io_stall_read_ms, SUM(num_of_writes) AS num_of_writes,
SUM(io_stall_write_ms) AS io_stall_write_ms, SUM(num_of_bytes_read) AS num_of_bytes_read,
SUM(num_of_bytes_written) AS num_of_bytes_written, SUM(io_stall) AS io_stall, vs.volume_mount_point
FROM sys.dm_io_virtual_file_stats(NULL, NULL) AS vfs
INNER JOIN sys.master_files AS mf WITH (NOLOCK)
ON vfs.database_id = mf.database_id AND vfs.file_id = mf.file_id
CROSS APPLY sys.dm_os_volume_stats(mf.database_id, mf.[file_id]) AS vs
GROUP BY LEFT(UPPER(mf.physical_name), 2), vs.volume_mount_point) AS tab

ORDER BY [Overall Latency] OPTION (RECOMPILE);

— Shows you the drive-level latency for reads and writes, in milliseconds
— Latency above 30-40ms is usually a problem
— These latency numbers include all file activity against all SQL Server
— database files on each drive since SQL Server was last started

— sys.dm_io_virtual_file_stats (Transact-SQL)
— https://bit.ly/3bRWUc0

— sys.dm_os_volume_stats (Transact-SQL)
— https://bit.ly/33thz2j

— Calculates average latency per read, per write, and per total input/output for each database file (Query 32) (IO Latency 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(10,1)) AS [avg_read_latency_ms],
CAST(fs.io_stall_write_ms/(1.0 + fs.num_of_writes) AS NUMERIC(10,1)) AS [avg_write_latency_ms],
CAST((fs.io_stall_read_ms + fs.io_stall_write_ms)/(1.0 + fs.num_of_reads + fs.num_of_writes) AS NUMERIC(10,1)) AS [avg_io_latency_ms],
CONVERT(DECIMAL(18,2), mf.size/128.0) AS [File Size (MB)], mf.physical_name, mf.type_desc, 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
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_latency_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

— sys.dm_io_virtual_file_stats (Transact-SQL)
— https://bit.ly/3bRWUc0

— Look for I/O requests taking longer than 15 seconds in the six most recent SQL Server Error Logs (Query 33) (IO Warnings)
DROP TABLE IF EXISTS #IOWarningResults;
CREATE TABLE #IOWarningResults(LogDate datetime, ProcessInfo sysname, LogText nvarchar(1000));

INSERT INTO #IOWarningResults 
EXEC xp_readerrorlog 0, 1, N'taking longer than 15 seconds';

INSERT INTO #IOWarningResults 
EXEC xp_readerrorlog 1, 1, N'taking longer than 15 seconds';

INSERT INTO #IOWarningResults 
EXEC xp_readerrorlog 2, 1, N'taking longer than 15 seconds';

INSERT INTO #IOWarningResults 
EXEC xp_readerrorlog 3, 1, N'taking longer than 15 seconds';

INSERT INTO #IOWarningResults 
EXEC xp_readerrorlog 4, 1, N'taking longer than 15 seconds';

INSERT INTO #IOWarningResults 
EXEC xp_readerrorlog 5, 1, N'taking longer than 15 seconds';

SELECT LogDate, ProcessInfo, LogText
FROM #IOWarningResults
ORDER BY LogDate DESC;

DROP TABLE IF EXISTS #IOWarningResults;

— Finding 15 second I/O warnings in the SQL Server Error Log is useful evidence of
— poor I/O performance (which might have many different causes)
— Look to see if you see any patterns in the results (same files, same drives, same time of day, etc.)

— Diagnostics in SQL Server help detect stalled and stuck I/O operations
— https://bit.ly/2qtaw73

— Resource Governor Resource Pool information (Query 34) (RG Resource Pools)
SELECT pool_id, [Name], statistics_start_time,
min_memory_percent, max_memory_percent,
max_memory_kb/1024 AS [max_memory_mb],
used_memory_kb/1024 AS [used_memory_mb],
target_memory_kb/1024 AS [target_memory_mb],
min_iops_per_volume, max_iops_per_volume
FROM sys.dm_resource_governor_resource_pools WITH (NOLOCK)

OPTION (RECOMPILE);

— sys.dm_resource_governor_resource_pools (Transact-SQL)
— https://bit.ly/2MVU0Vy

— Recovery model, log reuse wait description, log file size, log usage size (Query 35) (Database Properties)
— and compatibility level for all databases on instance
SELECT db.[name] AS [Database Name], SUSER_SNAME(db.owner_sid) AS [Database Owner],
db.[compatibility_level] AS [DB Compatibility Level],
db.recovery_model_desc AS [Recovery Model],
db.log_reuse_wait_desc AS [Log Reuse Wait Description],
CONVERT(DECIMAL(18,2), ds.cntr_value/1024.0) AS [Total Data File Size on Disk (MB)],
CONVERT(DECIMAL(18,2), ls.cntr_value/1024.0) AS [Total Log File Size on Disk (MB)],
CONVERT(DECIMAL(18,2), lu.cntr_value/1024.0) AS [Log File Used (MB)],
CAST(CAST(lu.cntr_value AS FLOAT) / CAST(ls.cntr_value AS FLOAT)AS DECIMAL(18,2)) * 100 AS [Log Used %],
db.page_verify_option_desc AS [Page Verify Option], db.user_access_desc, db.state_desc, db.containment_desc,
db.is_mixed_page_allocation_on,
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_published, db.is_distributor, db.is_sync_with_backup,
db.group_database_id, db.replica_id, db.is_memory_optimized_enabled, db.is_memory_optimized_elevate_to_snapshot_on,
db.delayed_durability_desc, db.is_query_store_on,
db.is_temporal_history_retention_enabled, db.is_accelerated_database_recovery_on,
db.is_data_retention_enabled, db.is_ledger_on, db.is_change_feed_enabled,
db.is_master_key_encrypted_by_server, db.is_encrypted, de.encryption_state, de.percent_complete, de.key_algorithm, de.key_length
FROM sys.databases AS db WITH (NOLOCK)
LEFT OUTER JOIN sys.dm_os_performance_counters AS lu WITH (NOLOCK)
ON db.name = lu.instance_name
LEFT OUTER JOIN sys.dm_os_performance_counters AS ls WITH (NOLOCK)
ON db.name = ls.instance_name
LEFT OUTER JOIN sys.dm_os_performance_counters AS ds WITH (NOLOCK)
ON db.name = ds.instance_name
LEFT OUTER JOIN sys.dm_database_encryption_keys AS de WITH (NOLOCK)
ON db.database_id = de.database_id
WHERE lu.counter_name LIKE N’Log File(s) Used Size (KB)%’
AND ls.counter_name LIKE N’Log File(s) Size (KB)%’
AND ds.counter_name LIKE N’Data File(s) Size (KB)%’
AND ls.cntr_value > 0

ORDER BY db.[name] OPTION (RECOMPILE);

— sys.databases (Transact-SQL)
— https://bit.ly/2G5wqaX

— sys.dm_os_performance_counters (Transact-SQL)
— https://bit.ly/3kEO2JR

— sys.dm_database_encryption_keys (Transact-SQL)
— https://bit.ly/3mE7kkx

— 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 the databases on?
— What is the Page Verify Option? (should be CHECKSUM)
— Is Auto Update Statistics Asynchronously enabled?
— What is target_recovery_time_in_seconds? (should be 60 for user databases)
— Is Delayed Durability enabled?
— Make sure auto_shrink and auto_close are not enabled!

— is_mixed_page_allocation_on is a new property for SQL Server 2016. Equivalent to TF 1118 for a user database
— SQL Server 2016: Changes in default behavior for autogrow and allocations for tempdb and user databases
— https://bit.ly/2evRZSR

— A non-zero value for target_recovery_time_in_seconds means that indirect checkpoint is enabled
— If the setting has a zero value it indicates that automatic checkpoint is enabled

— Changes in SQL Server 2016 Checkpoint Behavior
— https://bit.ly/2pdggk3

— Missing Indexes for all databases by Index Advantage (Query 36) (Missing Indexes All Databases)
SELECT CONVERT(decimal(18,2), migs.user_seeks * migs.avg_total_user_cost * (migs.avg_user_impact * 0.01)) AS [index_advantage],
CONVERT(nvarchar(25), migs.last_user_seek, 20) AS [last_user_seek],
mid.[statement] AS [Database.Schema.Table],
COUNT(1) OVER(PARTITION BY mid.[statement]) AS [missing_indexes_for_table],
COUNT(1) OVER(PARTITION BY mid.[statement], mid.equality_columns) AS [similar_missing_indexes_for_table],
mid.equality_columns, mid.inequality_columns, mid.included_columns, migs.user_seeks,
CONVERT(decimal(18,2), migs.avg_total_user_cost) AS [avg_total_user_,cost], migs.avg_user_impact,
REPLACE(REPLACE(LEFT(st.[text], 255), CHAR(10),”), CHAR(13),”) AS [Short Query Text]
FROM sys.dm_db_missing_index_groups AS mig WITH (NOLOCK)
INNER JOIN sys.dm_db_missing_index_group_stats_query AS migs WITH(NOLOCK)
ON mig.index_group_handle = migs.group_handle
CROSS APPLY sys.dm_exec_sql_text(migs.last_sql_handle) AS st
INNER JOIN sys.dm_db_missing_index_details AS mid WITH (NOLOCK)
ON mig.index_handle = mid.index_handle

ORDER BY index_advantage DESC OPTION (RECOMPILE);

— Getting missing index information for all of the databases on the instance is very useful
— Look at last user seek time, number of user seeks to help determine source and importance
— Also look at avg_user_impact and avg_total_user_cost to help determine importance
— SQL Server is overly eager to add included columns, so beware
— Do not just blindly add indexes that show up from this query!!!
— H kan Winther has given me some great suggestions for this query

— SQL Server Index Design Guide
— https://bit.ly/2qtZr4N

— Get VLF Counts for all databases on the instance (Query 37) (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

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)

— sys.dm_db_log_info (Transact-SQL)
— https://bit.ly/3jpmqsd

— sys.databases (Transact-SQL)
— https://bit.ly/2G5wqaX

— SQL Server Transaction Log Architecture and Management Guide
— https://bit.ly/2JjmQRZ

— VLF Growth Formula (SQL Server 2022)
— If the log growth increment is less than 1/8th the current size of the log
— Then: 1 new VLF
— Otherwise:
— Up to 64MB: 1 new VLF
— 64MB to 1GB: 8 new VLFs
— More than 1GB: 16 new VLFs

— Virtual Log Files (VLFs)
— https://bit.ly/3TN6en1

— Get CPU utilization by database (Query 38) (CPU Usage by Database)
WITH DB_CPU_Stats
AS
(SELECT pa.DatabaseID, DB_Name(pa.DatabaseID) AS [Database Name], SUM(qs.total_worker_time/1000) AS [CPU_Time_Ms]
FROM sys.dm_exec_query_stats AS qs WITH (NOLOCK)
CROSS APPLY (SELECT CONVERT(int, value) AS [DatabaseID]
FROM sys.dm_exec_plan_attributes(qs.plan_handle)
WHERE attribute = N’dbid’) AS pa
GROUP BY DatabaseID)
SELECT ROW_NUMBER() OVER(ORDER BY [CPU_Time_Ms] DESC) AS [CPU Rank],
[Database Name], [CPU_Time_Ms] AS [CPU Time (ms)],
CAST([CPU_Time_Ms] * 1.0 / SUM([CPU_Time_Ms]) OVER() * 100.0 AS DECIMAL(5, 2)) AS [CPU Percent]
FROM DB_CPU_Stats
WHERE DatabaseID <> 32767 — ResourceDB

ORDER BY [CPU Rank] OPTION (RECOMPILE);

— Helps determine which database is using the most CPU resources on the instance
— Note: This only reflects CPU usage from the currently cached query plans

— sys.dm_exec_query_stats (Transact-SQL)
— https://bit.ly/32tHCGH

— sys.dm_exec_plan_attributes (Transact-SQL)
— https://bit.ly/35iP2hV

— Get I/O utilization by database (Query 39) (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
— These numbers are cumulative since the last service restart
— They include all I/O activity, not just the nominal I/O workload

— sys.dm_io_virtual_file_stats (Transact-SQL)
— https://bit.ly/3bRWUc0

— Get total buffer usage by database for current instance (Query 40) (Total Buffer Usage by Database)
— This may take some time to run on a busy instance with lots of RAM
WITH AggregateBufferPoolUsage
AS
(SELECT DB_NAME(database_id) AS [Database Name],
CAST(COUNT_BIG(*) * 8/1024.0 AS DECIMAL (15,2)) AS [CachedSize],
COUNT(page_id) AS [Page Count],
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

— sys.dm_os_buffer_descriptors (Transact-SQL)
— https://bit.ly/36s7aFo

— Get tempdb version store space usage by database (Query 41) (Version Store Space Usage)
SELECT DB_NAME(database_id) AS [Database Name],
reserved_page_count AS [Version Store Reserved Page Count],
reserved_space_kb/1024 AS [Version Store Reserved Space (MB)]
FROM sys.dm_tran_version_store_space_usage WITH (NOLOCK)

ORDER BY reserved_space_kb/1024 DESC OPTION (RECOMPILE);

— sys.dm_tran_version_store_space_usage (Transact-SQL)
— https://bit.ly/2vh3Bmk

— Clear Wait Stats with this command
— DBCC SQLPERF(‘sys.dm_os_wait_stats’, CLEAR);

— Isolate top waits for server instance since last restart or wait statistics clear (Query 42) (Top 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_os_wait_stats WITH (NOLOCK)
WHERE [wait_type] NOT IN (
N’AZURE_IMDS_VERSIONS’,
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’CXCONSUMER’,
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’PARALLEL_REDO_DRAIN_WORKER’, N’PARALLEL_REDO_LOG_CACHE’, N’PARALLEL_REDO_TRAN_LIST’,
N’PARALLEL_REDO_WORKER_SYNC’, N’PARALLEL_REDO_WORKER_WAIT_WORK’,
N’PREEMPTIVE_HADR_LEASE_MECHANISM’, N’PREEMPTIVE_SP_SERVER_DIAGNOSTICS’,
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_DELETESECURITYCONTEXT’, N’PREEMPTIVE_OS_REPORTEVENT’,
N’PREEMPTIVE_OS_FILEOPS’, N’PREEMPTIVE_OS_DEVICEOPS’, N’PREEMPTIVE_OS_QUERYREGISTRY’,
N’PREEMPTIVE_OS_WRITEFILE’, N’PREEMPTIVE_OS_WRITEFILEGATHER’,
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’POPULATE_LOCK_ORDINALS’,
N’PWAIT_ALL_COMPONENTS_INITIALIZED’, N’PWAIT_DIRECTLOGCONSUMER_GETNEXT’,
N’PWAIT_EXTENSIBILITY_CLEANUP_TASK’,
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_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’SOS_WORK_DISPATCHER’,
N’SP_SERVER_DIAGNOSTICS_SLEEP’, N’SOS_WORKER_MIGRATION’, N’VDI_CLIENT_OTHER’,
N’SQLTRACE_BUFFER_FLUSH’, N’SQLTRACE_INCREMENTAL_FLUSH_SLEEP’, N’SQLTRACE_WAIT_ENTRIES’,
N’STARTUP_DEPENDENCY_MANAGER’,
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 [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],
CAST (N’https://www.sqlskills.com/help/waits/’ + W1.wait_type AS XML) AS [Help/Info URL]
FROM Waits AS W1
INNER JOIN Waits AS W2
ON W2.RowNum <= W1.RowNum
GROUP BY W1.RowNum, W1.wait_type
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_os_wait_stats (Transact-SQL)
— https://bit.ly/2Hjq9Yl

— Get a count of SQL connections by IP address (Query 43) (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 44) (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],
GETDATE() AS [System Time]
FROM sys.dm_os_schedulers WITH (NOLOCK)

WHERE scheduler_id < 255 OPTION (RECOMPILE);

— Sustained values above 10 suggest further investigation in that area
— 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

— How to Do Some Very Basic SQL Server Monitoring
— https://bit.ly/30IRla0

— Detect blocking (run multiple times) (Query 45) (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

— Show page level contention (Query 46) (Page Contention)
SELECT er.session_id, er.wait_type, er.wait_resource,
OBJECT_NAME(pinfo.[object_id], pinfo.database_id) AS [object_name],
er.blocking_session_id, er.command,
SUBSTRING(st.text, (er.statement_start_offset/2)+1,
((CASE er.statement_end_offset
WHEN -1 THEN DATALENGTH(st.text)
ELSE er.statement_end_offset
END – er.statement_start_offset)/2) + 1) AS statement_text,
DB_NAME(pinfo.database_id) AS [Database Name],
pinfo.[file_id], pinfo.page_id, pinfo.[object_id], pinfo.index_id, pinfo.page_type_desc
FROM sys.dm_exec_requests AS er WITH (NOLOCK)
CROSS APPLY sys.dm_exec_sql_text(er.sql_handle) AS st
CROSS APPLY sys.fn_PageResCracker(er.page_resource) AS r
CROSS APPLY sys.dm_db_page_info(r.[db_id], r.[file_id], r.page_id, N’DETAILED’) AS pinfo

WHERE er.wait_type LIKE N’%page%’ OPTION (RECOMPILE);

— sys.fn_PageResCracker (Transact-SQL)
— https://bit.ly/3sgwp9B

— Get CPU Utilization History for last 256 minutes (in one minute intervals) (Query 47) (CPU Utilization History)
DECLARE @ts_now bigint = (SELECT ms_ticks FROM sys.dm_os_sys_info WITH (NOLOCK));

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’%%’) 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
— Note: This query sometimes gives inaccurate results (negative values)
— on high core count (> 64 cores) systems

— Get top total worker time queries for entire instance (Query 48) (Top Worker 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_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) COLLATE Latin1_General_BIN2 LIKE N’%%’ 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

ORDER BY qs.total_worker_time DESC OPTION (RECOMPILE);

— Helps you find the most expensive queries from a CPU perspective across the entire instance
— Can also help track down parameter sniffing issues

— Page Life Expectancy (PLE) value for each NUMA node in current instance (Query 49) (PLE by NUMA Node)
SELECT @@SERVERNAME AS [Server Name], RTRIM([object_name]) AS [Object Name],
instance_name, cntr_value AS [Page Life Expectancy], GETDATE() AS [System Time]
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 50) (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 51) (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
— Running DBCC FREESYSTEMCACHE (‘SQL Plans’); periodically may be required to better control this

— CACHESTORE_OBJCP – Object Plans
— These are compiled plans for stored procedures, functions and triggers

— If you see very high usage by MEMORYCLERK_SQLLOGPOOL
— SQL Server 2019 CU9 added a new command, DBCC FREESYSTEMCACHE (‘LogPool’);

— sys.dm_os_memory_clerks (Transact-SQL)
— https://bit.ly/2H31xDR

— Find single-use, ad-hoc and prepared queries that are bloating the plan cache (Query 52) (Ad hoc 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],
cp.objtype AS [Object Type], cp.cacheobjtype AS [Cache Object Type],
cp.size_in_bytes/1024 AS [Plan Size in KB],
CASE WHEN CONVERT(nvarchar(max), qp.query_plan) COLLATE Latin1_General_BIN2 LIKE N’%%’ THEN 1 ELSE 0 END AS [Has Missing Index]
–,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_cached_plans AS cp 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 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 ‘optimize for ad hoc workloads’ for the instance can help (SQL Server 2008 and above 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!

— Plan cache, adhoc workloads and clearing the single-use plan cache bloat
— https://bit.ly/2EfYOkl

— Get top total logical reads queries for entire instance (Query 53) (Top Logical Reads 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_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) COLLATE Latin1_General_BIN2 LIKE N’%%’ 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

ORDER BY qs.total_logical_reads DESC OPTION (RECOMPILE);

— Helps you find the most expensive queries from a memory perspective across the entire instance
— Can also help track down parameter sniffing issues

— Get top average elapsed time queries for entire instance (Query 54) (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) COLLATE Latin1_General_BIN2 LIKE N’%%’ 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

ORDER BY qs.total_elapsed_time/qs.execution_count DESC OPTION (RECOMPILE);

— Helps you find the highest average elapsed time queries across the entire instance
— Can also help track down parameter sniffing issues

— Look at UDF execution statistics (Query 55) (UDF Stats by DB)
SELECT TOP (25) DB_NAME(database_id) AS [Database Name],
OBJECT_NAME(object_id, database_id) AS [Function Name],
total_worker_time, execution_count, total_elapsed_time,
total_elapsed_time/execution_count AS [avg_elapsed_time],
last_elapsed_time, last_execution_time, cached_time, [type_desc]
FROM sys.dm_exec_function_stats WITH (NOLOCK)

ORDER BY total_worker_time DESC OPTION (RECOMPILE);

— sys.dm_exec_function_stats (Transact-SQL)
— https://bit.ly/2q1Q6BM

— Showplan Enhancements for UDFs
— https://bit.ly/2LVqiQ1

— Look for long duration buffer pool scans (Query 56) (Long Buffer Pool Scans)

EXEC sys.xp_readerrorlog 0, 1, N’Buffer pool scan took’;

— Finds buffer pool scans that took more than 10 seconds in the current SQL Server Error log
— This should happen much less often in SQL Server 2022

— Operations that trigger buffer pool scan may run slowly on large-memory computers – SQL Server | Microsoft Docs
— https://bit.ly/3QrFC81

— Database specific queries *

— **** Please switch to a user database that you are interested in! *****
–USE YourDatabaseName; — make sure to change to an actual database on your instance, not the master system database
–GO

— Individual File Sizes and space available for current database (Query 57) (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) AS DECIMAL(15,2)) –
CAST(f.size/128.0 – CAST(FILEPROPERTY(f.name, ‘SpaceUsed’) AS int)/128.0 AS DECIMAL(15,2))
AS [Used Space 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.[type], f.[file_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!!
— In order to get IFI on log files, the auto growth increment should be 64MB or less

— 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
— https://bit.ly/2evRZSR

— Log space usage for current database (Query 58) (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

— sys.dm_db_log_space_usage (Transact-SQL)
— https://bit.ly/2H4MQw9

— Status of last VLF for current database (Query 59) (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

— sys.dm_db_log_info (Transact-SQL)
— https://bit.ly/2EQUU1v

— Get database scoped configuration values for current database (Query 60) (Database-scoped Configurations)
SELECT configuration_id, name, [value] AS [value_for_primary], value_for_secondary, is_value_default

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

— New in SQL Server 2022
— PAUSED_RESUMABLE_INDEX_ABORT_DURATION_MINUTES
— DW_COMPATIBILITY_LEVEL
— EXEC_QUERY_STATS_FOR_SCALAR_FUNCTIONS
— PARAMETER_SENSITIVE_PLAN_OPTIMIZATION
— ASYNC_STATS_UPDATE_WAIT_AT_LOW_PRIORITY
— CE_FEEDBACK
— MEMORY_GRANT_FEEDBACK_PERSISTENCE
— MEMORY_GRANT_FEEDBACK_PERCENTILE_GRANT
— OPTIMIZED_PLAN_FORCING
— DOP_FEEDBACK
— LEDGER_DIGEST_STORAGE_ENDPOINT
— FORCE_SHOWPLAN_RUNTIME_PARAMETER_COLLECTION

— I/O Statistics by file for the current database (Query 61) (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(15, 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(15, 2)) AS [MB Read],
CAST(vfs.num_of_bytes_written/1048576.0 AS DECIMAL(15, 2)) AS [MB Written],
CAST(100. * vfs.num_of_reads/(vfs.num_of_reads + vfs.num_of_writes) AS DECIMAL(15,1)) AS [# Reads Pct],
CAST(100. * vfs.num_of_writes/(vfs.num_of_reads + vfs.num_of_writes) AS DECIMAL(15,1)) AS [# Write Pct],
CAST(100. * vfs.num_of_bytes_read/(vfs.num_of_bytes_read + vfs.num_of_bytes_written) AS DECIMAL(15,1)) AS [Read Bytes Pct],
CAST(100. * vfs.num_of_bytes_written/(vfs.num_of_bytes_read + vfs.num_of_bytes_written) AS DECIMAL(15,1)) 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 have an OLTP or DW/DSS type of workload

— Get most frequently executed queries for this database (Query 62) (Query Execution Counts)
SELECT TOP(50) LEFT(t.[text], 50) AS [Short Query Text], qs.execution_count AS [Execution Count],
ISNULL(qs.execution_count/DATEDIFF(Minute, qs.creation_time, GETDATE()), 0) AS [Calls/Minute],
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) COLLATE Latin1_General_BIN2 LIKE N’%%’ THEN 1 ELSE 0 END AS [Has Missing Index],
qs.last_execution_time AS [Last Execution Time], 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()
AND DATEDIFF(Minute, qs.creation_time, GETDATE()) > 0

ORDER BY qs.execution_count DESC OPTION (RECOMPILE);

— Tells you which cached queries are called the most often
— This helps you characterize and baseline your workload
— It also helps you find possible caching opportunities

— CREATE PROCEDURE (Transact-SQL)
— https://bit.ly/3gxcuxG

— Queries 63 through 69 are the “Bad Man List” for stored procedures

— Top Cached SPs By Execution Count (Query 63) (SP Execution Counts)
SELECT TOP(100) CONCAT(SCHEMA_NAME(p.schema_id), ‘.’, 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/NULLIF(qs.execution_count, 0) AS [Avg Elapsed Time],
qs.total_worker_time/NULLIF(qs.execution_count, 0) AS [Avg Worker Time],
qs.total_logical_reads/NULLIF(qs.execution_count, 0) AS [Avg Logical Reads],
CASE WHEN CONVERT(nvarchar(max), qp.query_plan) COLLATE Latin1_General_BIN2 LIKE N’%%’ THEN 1 ELSE 0 END AS [Has Missing Index],
CONVERT(nvarchar(25), qs.last_execution_time, 20) AS [Last Execution Time],
CONVERT(nvarchar(25), qs.cached_time, 20) 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
— It also helps you find possible caching opportunities

— Top Cached SPs By Avg Elapsed Time (Query 64) (SP Avg Elapsed Time)
SELECT TOP(25) CONCAT(SCHEMA_NAME(p.schema_id), ‘.’, 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) COLLATE Latin1_General_BIN2 LIKE N’%%’ THEN 1 ELSE 0 END AS [Has Missing Index],
CONVERT(nvarchar(25), qs.last_execution_time, 20) AS [Last Execution Time],
CONVERT(nvarchar(25), qs.cached_time, 20) 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 65) (SP Worker Time)
SELECT TOP(25) CONCAT(SCHEMA_NAME(p.schema_id), ‘.’, 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) COLLATE Latin1_General_BIN2 LIKE N’%%’ THEN 1 ELSE 0 END AS [Has Missing Index],
CONVERT(nvarchar(25), qs.last_execution_time, 20) AS [Last Execution Time],
CONVERT(nvarchar(25), qs.cached_time, 20) 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 66) (SP Logical Reads)
SELECT TOP(25) CONCAT(SCHEMA_NAME(p.schema_id), ‘.’, 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) COLLATE Latin1_General_BIN2 LIKE N’%%’ THEN 1 ELSE 0 END AS [Has Missing Index],
CONVERT(nvarchar(25), qs.last_execution_time, 20) AS [Last Execution Time],
CONVERT(nvarchar(25), qs.cached_time, 20) 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 67) (SP Physical Reads)
SELECT TOP(25) CONCAT(SCHEMA_NAME(p.schema_id), ‘.’, 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) COLLATE Latin1_General_BIN2 LIKE N’%%’ THEN 1 ELSE 0 END AS [Has Missing Index],
CONVERT(nvarchar(25), qs.last_execution_time, 20) AS [Last Execution Time],
CONVERT(nvarchar(25), qs.cached_time, 20) 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 68) (SP Logical Writes)
— Logical writes relate to both memory and disk I/O pressure
SELECT TOP(25) CONCAT(SCHEMA_NAME(p.schema_id), ‘.’, 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) COLLATE Latin1_General_BIN2 LIKE N’%%’ THEN 1 ELSE 0 END AS [Has Missing Index],
CONVERT(nvarchar(25), qs.last_execution_time, 20) AS [Last Execution Time],
CONVERT(nvarchar(25), qs.cached_time, 20) 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

— Cached SPs Missing Indexes by Execution Count (Query 69) (SP Missing Index)
SELECT TOP(25) CONCAT(SCHEMA_NAME(p.schema_id), ‘.’, 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],
CONVERT(nvarchar(25), qs.last_execution_time, 20) AS [Last Execution Time],
CONVERT(nvarchar(25), qs.cached_time, 20) 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
AND CONVERT(nvarchar(max), qp.query_plan) COLLATE Latin1_General_BIN2 LIKE N’%%’

ORDER BY qs.execution_count DESC OPTION (RECOMPILE);

— This helps you find the most frequently executed cached stored procedures that have missing index warnings
— This can often help you find index tuning candidates

— Lists the top statements by average input/output usage for the current database (Query 70) (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 71) (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 72) (Missing Indexes)
SELECT CONVERT(decimal(18,2), migs.user_seeks * migs.avg_total_user_cost * (migs.avg_user_impact * 0.01)) AS [index_advantage],
CONVERT(nvarchar(25), migs.last_user_seek, 20) AS [last_user_seek],
mid.[statement] AS [Database.Schema.Table],
COUNT(1) OVER(PARTITION BY mid.[statement]) AS [missing_indexes_for_table],
COUNT(1) OVER(PARTITION BY mid.[statement], mid.equality_columns) AS [similar_missing_indexes_for_table],
mid.equality_columns, mid.inequality_columns, mid.included_columns, migs.user_seeks,
CONVERT(decimal(18,2), migs.avg_total_user_cost) AS [avg_total_user_,cost], migs.avg_user_impact,
REPLACE(REPLACE(LEFT(st.[text], 512), CHAR(10),”), CHAR(13),”) AS [Short Query Text],
OBJECT_NAME(mid.[object_id]) AS [Table Name], p.rows AS [Table Rows]
FROM sys.dm_db_missing_index_groups AS mig WITH (NOLOCK)
INNER JOIN sys.dm_db_missing_index_group_stats_query AS migs WITH(NOLOCK)
ON mig.index_group_handle = migs.group_handle
CROSS APPLY sys.dm_exec_sql_text(migs.last_sql_handle) AS st
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()
AND p.index_id < 2

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!!!
— H kan Winther has given me some great suggestions for this query

— Find missing index warnings for cached plans in the current database (Query 73) (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
, qp.query_plan — Uncomment if you want the 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(qp.query_plan AS NVARCHAR(MAX)) LIKE N’%MissingIndex%’
AND qp.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 74) (Buffer Usage)
— Note: This query could take some time on a busy instance
SELECT fg.name AS [Filegroup Name], 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
INNER JOIN sys.database_files AS f WITH (NOLOCK)
ON b.file_id = f.file_id
INNER JOIN sys.filegroups AS fg WITH (NOLOCK)
ON f.data_space_id = fg.data_space_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 fg.name, 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 Schema names, Table names, object size, row counts, and compression status for clustered index or heap (Query 75) (Table Sizes)
SELECT DB_NAME(DB_ID()) AS [Database Name], SCHEMA_NAME(o.schema_id) AS [Schema Name],
OBJECT_NAME(p.object_id) AS [Table Name],
CAST(SUM(ps.reserved_page_count) * 8.0 / 1024 AS DECIMAL(19,2)) AS [Object Size (MB)],
SUM(p.rows) AS [Row Count],
p.data_compression_desc AS [Compression Type]
FROM sys.objects AS o WITH (NOLOCK)
INNER JOIN sys.partitions AS p WITH (NOLOCK)
ON p.object_id = o.object_id
INNER JOIN sys.dm_db_partition_stats AS ps WITH (NOLOCK)
ON p.object_id = ps.object_id
WHERE ps.index_id < 2 — ignore the partitions from the non-clustered indexes if any
AND p.index_id < 2 — ignore the partitions from the non-clustered indexes if any
AND o.type_desc = N’USER_TABLE’
GROUP BY SCHEMA_NAME(o.schema_id), p.object_id, ps.reserved_page_count, p.data_compression_desc

ORDER BY SUM(ps.reserved_page_count) DESC, SUM(p.rows) DESC OPTION (RECOMPILE);

— Gives you an idea of table sizes, and possible data compression opportunities

— Get some key table properties (Query 76) (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.is_replicated, t.has_replication_filter,
t.is_tracked_by_cdc, t.lock_escalation_desc, t.is_filetable,
t.is_memory_optimized, t.durability_desc,
t.temporal_type_desc, t.is_remote_data_archive_enabled, t.is_external — new for SQL Server 2016
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 were new in SQL Server 2016

— sys.tables (Transact-SQL)
— https://bit.ly/2Gk7998

— When were Statistics last updated on all indexes? (Query 77) (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,
s.has_persisted_sample, sp.persisted_sample_percent,
(sp.rows_sampled * 100)/sp.rows AS [Actual Sample Percent], sp.modification_counter,
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]
CROSS APPLY sys.dm_db_stats_properties(s.object_id, s.stats_id) AS sp
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

— UPDATEs to Statistics (Erin Stellato)
— https://bit.ly/2vhrYQy

— Look at most frequently modified indexes and statistics (Query 78) (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 79) (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,
CAST(ps.avg_fragmentation_in_percent AS DECIMAL (15,3)) AS [Avg Fragmentation in Pct],
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 80) (Overall Index Usage – Reads)
SELECT SCHEMA_NAME(t.[schema_id]) AS [SchemaName], OBJECT_NAME(i.[object_id]) AS [ObjectName],
i.[name] AS [IndexName], i.index_id, i.[type_desc] AS [Index Type],
s.user_seeks, s.user_scans, s.user_lookups,
s.user_seeks + s.user_scans + s.user_lookups AS [Total Reads],
s.user_updates AS [Writes],
i.fill_factor AS [Fill Factor], i.has_filter, i.filter_definition,
s.last_user_scan, s.last_user_lookup, s.last_user_seek, i.[allow_page_locks]
FROM sys.indexes AS i WITH (NOLOCK)
LEFT OUTER JOIN sys.dm_db_index_usage_stats AS s WITH (NOLOCK)
ON i.[object_id] = s.[object_id]
AND i.index_id = s.index_id
AND s.database_id = DB_ID()
LEFT OUTER JOIN sys.tables AS t WITH (NOLOCK)
ON t.[object_id] = i.[object_id]
WHERE OBJECTPROPERTY(i.[object_id],’IsUserTable’) = 1

ORDER BY s.user_seeks + s.user_scans + s.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 81) (Overall Index Usage – Writes)
SELECT SCHEMA_NAME(t.[schema_id]) AS [SchemaName],OBJECT_NAME(i.[object_id]) AS [ObjectName],
i.[name] AS [IndexName], i.index_id, i.[type_desc] AS [Index Type],
s.user_updates AS [Writes], s.user_seeks + s.user_scans + s.user_lookups AS [Total Reads],
i.fill_factor AS [Fill Factor], i.has_filter, i.filter_definition,
s.last_system_update, s.last_user_update, i.[allow_page_locks]
FROM sys.indexes AS i WITH (NOLOCK)
LEFT OUTER JOIN sys.dm_db_index_usage_stats AS s WITH (NOLOCK)
ON i.[object_id] = s.[object_id]
AND i.index_id = s.index_id
AND s.database_id = DB_ID()
LEFT OUTER JOIN sys.tables AS t WITH (NOLOCK)
ON t.[object_id] = i.[object_id]
WHERE OBJECTPROPERTY(i.[object_id],’IsUserTable’) = 1

ORDER BY s.user_updates DESC OPTION (RECOMPILE); — Order by writes

— Show which indexes in the current database are most active for Writes

— Get lock waits for current database (Query 82) (Lock Waits)
SELECT o.name AS [table_name], i.name AS [index_name], ios.index_id, ios.partition_number,
SUM(ios.row_lock_wait_count) AS [total_row_lock_waits],
SUM(ios.row_lock_wait_in_ms) AS [total_row_lock_wait_in_ms],
SUM(ios.index_lock_promotion_attempt_count) AS [total index_lock_promotion_attempt_count],
SUM(ios.index_lock_promotion_count) AS [ios.index_lock_promotion_count],
SUM(ios.page_lock_wait_count) AS [total_page_lock_waits],
SUM(ios.page_lock_wait_in_ms) AS [total_page_lock_wait_in_ms],
SUM(ios.page_lock_wait_in_ms)+ SUM(row_lock_wait_in_ms) AS [total_lock_wait_in_ms]
FROM sys.dm_db_index_operational_stats(DB_ID(), NULL, NULL, NULL) AS ios
INNER JOIN sys.objects AS o WITH (NOLOCK)
ON ios.[object_id] = o.[object_id]
INNER JOIN sys.indexes AS i WITH (NOLOCK)
ON ios.[object_id] = i.[object_id]
AND ios.index_id = i.index_id
WHERE o.[object_id] > 100
GROUP BY o.name, i.name, ios.index_id, ios.partition_number
HAVING SUM(ios.page_lock_wait_in_ms)+ SUM(row_lock_wait_in_ms) > 0

ORDER BY total_lock_wait_in_ms DESC OPTION (RECOMPILE);

— This query is helpful for troubleshooting blocking and deadlocking issues

— sys.dm_db_index_operational_stats (Transact-SQL)
— https://bit.ly/3l5rGEw

— Look at UDF execution statistics (Query 83) (UDF Statistics)
SELECT OBJECT_NAME(object_id) AS [Function Name], execution_count,
total_worker_time, total_worker_time/execution_count AS [avg_worker_time],
total_logical_reads, total_physical_reads, total_elapsed_time,
total_elapsed_time/execution_count AS [avg_elapsed_time],
CONVERT(nvarchar(25), last_execution_time, 20) AS [Last Execution Time],
CONVERT(nvarchar(25), cached_time, 20) AS [Plan Cached Time]
FROM sys.dm_exec_function_stats WITH (NOLOCK)
WHERE database_id = DB_ID()

ORDER BY total_worker_time DESC OPTION (RECOMPILE);

— New for SQL Server 2016
— Helps you investigate scalar UDF performance issues
— Does not return information for table valued functions

— sys.dm_exec_function_stats (Transact-SQL)
— https://bit.ly/2q1Q6BM

— Determine which scalar UDFs are in-lineable (Query 84) (Inlineable UDFs)
SELECT OBJECT_NAME(m.object_id) AS [Function Name], m.is_inlineable, m.inline_type,
efs.total_worker_time
FROM sys.sql_modules AS m WITH (NOLOCK)
LEFT OUTER JOIN sys.dm_exec_function_stats AS efs WITH (NOLOCK)
ON m.object_id = efs.object_id
WHERE efs.type_desc = N’SQL_SCALAR_FUNCTION’
ORDER BY efs.total_worker_time DESC

OPTION (RECOMPILE);

— Scalar UDF Inlining
— https://bit.ly/2JU971M

— sys.sql_modules (Transact-SQL)
— https://bit.ly/2Qt216S

— Get Query Store Options for this database (Query 85) (Query Store Options)
SELECT actual_state_desc, desired_state_desc, [interval_length_minutes],
current_storage_size_mb, [max_storage_size_mb],
query_capture_mode_desc, size_based_cleanup_mode_desc, wait_stats_capture_mode_desc

FROM sys.database_query_store_options WITH (NOLOCK) OPTION (RECOMPILE);

— New for SQL Server 2016
— Requires that Query Store is enabled for this database

— Make sure that the actual_state_desc is the same as desired_state_desc
— Make sure that the current_storage_size_mb is less than the max_storage_size_mb

— Tuning Workload Performance with Query Store
— https://bit.ly/1kHSl7w

— Emergency shutoff for Query Store (SQL Server 2019 CU6 or newer)
— ALTER DATABASE [DatabaseName] SET QUERY_STORE = OFF(FORCED);

— Query Store is enabled by default in SQL Server 2022
— https://bit.ly/3A2JXsp

— Get input buffer information for the current database (Query 86) (Input Buffer)
SELECT es.session_id, DB_NAME(es.database_id) AS [Database Name],
es.[program_name], es.[host_name], es.login_name,
es.login_time, es.cpu_time, es.logical_reads, es.memory_usage,
es.[status], ib.event_info AS [Input Buffer]
FROM sys.dm_exec_sessions AS es WITH (NOLOCK)
CROSS APPLY sys.dm_exec_input_buffer(es.session_id, NULL) AS ib
WHERE es.database_id = DB_ID()

AND es.is_user_process = 1 OPTION (RECOMPILE);

— Gives you input buffer information from all non-system sessions for the current database
— Replaces DBCC INPUTBUFFER

— New DMF for retrieving input buffer in SQL Server
— https://bit.ly/2uHKMbz

— sys.dm_exec_input_buffer (Transact-SQL)
— https://bit.ly/2J5Hf9q

— Get any resumable index rebuild operation information (Query 87) (Resumable Index Rebuild)
SELECT OBJECT_NAME(iro.object_id) AS [Object Name], iro.index_id, iro.name AS [Index Name],
iro.sql_text, iro.last_max_dop_used, iro.partition_number, iro.state_desc,
iro.start_time, iro.percent_complete
FROM sys.index_resumable_operations AS iro WITH (NOLOCK)

OPTION (RECOMPILE);

— index_resumable_operations (Transact-SQL)
— https://bit.ly/2pYSWqq

— Get database automatic tuning options (Query 88) (Automatic Tuning Options)
SELECT [name], desired_state_desc, actual_state_desc, reason_desc
FROM sys.database_automatic_tuning_options WITH (NOLOCK)

OPTION (RECOMPILE);

— sys.database_automatic_tuning_options (Transact-SQL)
— https://bit.ly/2FHhLkL

— Look at recent Full backups for the current database (Query 89) (Recent Full Backups)
SELECT TOP (30) bs.machine_name, bs.server_name, bs.database_name AS [Database Name], bs.recovery_model,
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], bs.compression_algorithm,
bs.has_backup_checksums, bs.is_copy_only, bs.encryptor_type,
DATEDIFF (SECOND, bs.backup_start_date, bs.backup_finish_date) AS [Backup Elapsed Time (sec)],
bs.backup_finish_date AS [Backup Finish Date], bmf.physical_device_name AS [Backup Location],
bmf.physical_block_size, bs.last_valid_restore_time
FROM msdb.dbo.backupset AS bs WITH (NOLOCK)
INNER JOIN msdb.dbo.backupmediafamily AS bmf WITH (NOLOCK)
ON bs.media_set_id = bmf.media_set_id
WHERE bs.database_name = DB_NAME(DB_ID())
AND bs.[type] = ‘D’ — Change to L if you want Log backups

ORDER BY bs.backup_finish_date DESC OPTION (RECOMPILE);

— Things to look at:
— Are your backup sizes and times changing over time?
— Are you using backup compression?
— Are you using backup checksums?
— Are you doing copy_only backups?
— Are you doing encrypted backups?
— Have you done any backup tuning with striped backups, or changing the parameters of the backup command?
— Where are the backups going to?

— New columns in SQL Server 2022
— compression_algorithm and last_valid_restore_time
— last_valid_restore_time is only valid for transaction log backups

— In SQL Server 2016 and newer, native SQL Server backup compression actually works
— much better with databases that are using TDE than in previous versions
— https://bit.ly/28Rpb2x

— Microsoft Visual Studio Dev Essentials
— https://bit.ly/2qjNRxi

— Microsoft Azure Learn
— https://bit.ly/2O0Hacc

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