SQL Managed Instance Diagnostic Information Queries.sql

-- SQL Managed Instance Diagnostic Information Queries
-- Glenn Berry 
-- Last Modified: September 1, 2020
-- https://glennsqlperformance.com/
-- https://sqlserverperformance.wordpress.com/
-- YouTube: https://bit.ly/2PkoAM1 
-- Twitter: GlennAlanBerry

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


-- If you like PowerShell, there is a very useful community solution for running these queries in an automated fashion
-- https://dbatools.io/

-- Invoke-DbaDiagnosticQuery
-- https://dbatools.io/functions/invoke-dbadiagnosticquery/


--******************************************************************************
--*   Copyright (C) 2020 Glenn Berry
--*   All rights reserved. 
--*
--*
--*   You may alter this code for your own *non-commercial* purposes. You may
--*   republish altered code as long as you include this copyright and give due credit. 
--*
--*
--*   THIS CODE AND INFORMATION ARE PROVIDED "AS IS" WITHOUT WARRANTY OF 
--*   ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING BUT NOT LIMITED 
--*   TO THE IMPLIED WARRANTIES OF MERCHANTABILITY AND/OR FITNESS FOR A
--*   PARTICULAR PURPOSE. 
--*
--******************************************************************************

-- Check the major product version to see if it is SQL Managed Instance
IF NOT EXISTS (SELECT * WHERE CONVERT(varchar(128), SERVERPROPERTY('EngineEdition')) = 8)
	BEGIN
		DECLARE @ProductVersion varchar(128) = CONVERT(varchar(128), SERVERPROPERTY('EngineEdition'));
		RAISERROR ('Script does not match the EngineEdition [%s] of this instance. Many of these queries may not work on this version.' , 18 , 16 , @ProductVersion);
	END
	ELSE
		PRINT N'You are using SQL Managed Instance for this diagnostic information script';
	

-- Instance level queries *******************************

-- SQL and OS Version information for current instance  (Query 1) (Version Info)
SELECT @@SERVERNAME AS [Server Name], @@VERSION AS [SQL Server and OS Version Info];
------														

-- The version number from @@VERSION will not match what is in the SQL Server error log

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

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

-- Download and install Azure Data Studio 
-- https://bit.ly/2vgke1A



-- Get selected server properties (Query 2) (Server Properties)
SELECT SERVERPROPERTY('ServerName') AS [ServerName], 
SERVERPROPERTY('EngineEdition') AS [Engine Edition],			-- Engine Edition 8 is Managed Instance
SERVERPROPERTY('Edition') AS [Edition], 
SERVERPROPERTY('ProductLevel') AS [ProductLevel],				-- What servicing branch (RTM/SP/CU)
SERVERPROPERTY('ProductVersion') AS [ProductVersion],
SERVERPROPERTY('ProductMajorVersion') AS [ProductMajorVersion], 
SERVERPROPERTY('ProductMinorVersion') AS [ProductMinorVersion], 
SERVERPROPERTY('ProductBuild') AS [ProductBuild], 
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('BuildClrVersion') AS [Build CLR Version],
SERVERPROPERTY('IsXTPSupported') AS [IsXTPSupported],
SERVERPROPERTY('IsPolybaseInstalled') AS [IsPolybaseInstalled],				
SERVERPROPERTY('IsAdvancedAnalyticsInstalled') AS [IsRServicesInstalled];	
------

-- This gives you a lot of useful information about your "instance" of SQL Managed Instance


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



-- Get instance-level configuration values for instance  (Query 3) (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 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)

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




-- SQL Server Process Address space info  (Query 4) (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

-- How to enable the "locked pages" feature in SQL Server 2012
-- https://bit.ly/2F5UjOA

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



-- Get SQL Server Agent jobs and Category information (Query 5) (SQL Server Agent Jobs)
SELECT sj.name AS [Job Name], sj.[description] AS [Job Description], SUSER_SNAME(sj.owner_sid) AS [Job Owner],
sj.date_created AS [Date Created], sj.[enabled] AS [Job Enabled], 
sj.notify_email_operator_id, sj.notify_level_email, sc.name AS [CategoryName],
s.[enabled] AS [Sched Enabled], js.next_run_date, js.next_run_time
FROM msdb.dbo.sysjobs AS sj WITH (NOLOCK)
INNER JOIN msdb.dbo.syscategories AS sc WITH (NOLOCK)
ON sj.category_id = sc.category_id
LEFT OUTER JOIN msdb.dbo.sysjobschedules AS js WITH (NOLOCK)
ON sj.job_id = js.job_id
LEFT OUTER JOIN msdb.dbo.sysschedules AS s WITH (NOLOCK)
ON js.schedule_id = s.schedule_id
ORDER BY sj.name OPTION (RECOMPILE);
------

-- 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 NUMA Node information  (Query 6) (SQL Server NUMA Info)
SELECT node_id, node_state_desc, memory_node_id, processor_group, cpu_count, online_scheduler_count, 
       idle_scheduler_count, active_worker_count, avg_load_balance, resource_monitor_state
FROM sys.dm_os_nodes WITH (NOLOCK) 
WHERE node_state_desc <> N'ONLINE DAC' OPTION (RECOMPILE);
------

-- Gives you some useful information about the composition and relative load on your NUMA nodes
-- You want to see an equal number of schedulers on each NUMA node


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

-- Balancing Your Available SQL Server Core Licenses Evenly Across NUMA Nodes
-- https://bit.ly/2vfC4Rq



-- Server Resource Statistics (Query 7) (Server Resource Stats)
SELECT TOP(250) resource_type, resource_name, sku, hardware_generation, 
virtual_core_count, avg_cpu_percent, io_requests, 
CONVERT(DECIMAL(18,2), io_bytes_read/1048576.0) AS [MB Read],
CONVERT(DECIMAL(18,2), io_bytes_read * 1./(io_bytes_read + io_bytes_written) * 100.) AS [Read Percentage],
CONVERT(DECIMAL(18,2), io_bytes_written/1048576.0) AS [MB Written],
CONVERT(DECIMAL(18,2), io_bytes_written * 1./(io_bytes_read + io_bytes_written) * 100.) AS [Write Percentage],
CONVERT(DECIMAL(18,2), (io_bytes_read + io_bytes_written)/1048576.0) AS [MB Total IO],
start_time, end_time
FROM master.sys.server_resource_stats WITH (NOLOCK)
WHERE io_bytes_read > 0 AND io_bytes_written > 0       
ORDER BY end_time DESC OPTION (RECOMPILE);
------

-- Shows recent resource usage, in 15-second slices

-- SQL Managed Instance Pricing
-- https://bit.ly/2XlEE2u 




-- Hardware information from SQL Managed Instance  (Query 8) (Hardware Info)
SELECT cpu_count AS [Logical CPU Count], scheduler_count, 
       numa_node_count, 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
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 9) (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 information on location, time and size of any memory dumps from SQL Server  (Query 10) (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 11) (Suspect Pages)
SELECT DB_NAME(database_id) AS [Database Name], [file_id], page_id, 
       event_type, error_count, last_update_date 
FROM msdb.dbo.suspect_pages WITH (NOLOCK)
ORDER BY 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



-- File names and paths for all user and system databases on instance  (Query 12) (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)?




-- Volume info for all LUNS that have database files on the current instance (Query 13) (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 14) (Drive Level Latency)
-- Based on code from Jimmy May
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


-- Calculates average latency per read, per write, and per total input/output for each database file  (Query 15) (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


-- Look for I/O requests taking longer than 15 seconds in the six most recent SQL Server Error Logs (Query 16) (IO Warnings)
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 #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



-- Recovery model, log reuse wait description  (Query 17) (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.recovery_model_desc AS [Recovery Model], 
db.state_desc, db.containment_desc, db.log_reuse_wait_desc AS [Log Reuse Wait Description], 
db.[compatibility_level] AS [DB Compatibility Level], 
db.is_mixed_page_allocation_on, db.page_verify_option_desc AS [Page Verify Option], 
db.is_auto_create_stats_on, db.is_auto_update_stats_on, db.is_auto_update_stats_async_on, db.is_parameterization_forced, 
db.snapshot_isolation_state_desc, db.is_read_committed_snapshot_on, db.is_auto_close_on, db.is_auto_shrink_on, 
db.target_recovery_time_in_seconds, db.is_cdc_enabled,  
db.delayed_durability_desc, db.is_auto_create_stats_incremental_on,
db.is_query_store_on, db.is_sync_with_backup, db.is_temporal_history_retention_enabled,
db.is_supplemental_logging_enabled, 
db.is_encrypted, de.encryption_state, de.percent_complete, de.key_algorithm, de.key_length, db.resource_pool_id,
db.is_tempdb_spill_to_remote_store, db.is_result_set_caching_on, db.is_accelerated_database_recovery_on
FROM sys.databases AS db WITH (NOLOCK)
LEFT OUTER JOIN sys.dm_database_encryption_keys AS de WITH (NOLOCK)
ON db.database_id = de.database_id
ORDER BY db.[name] OPTION (RECOMPILE);
------

-- Things to look at:
-- How many databases are on the instance?
-- What recovery models are they using?
-- What is the log reuse wait description?
-- What compatibility level are the databases on? 
-- Is Auto Update Statistics Asynchronously enabled?
-- Is Delayed Durability enabled
-- Make sure auto_shrink is 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


-- https://docs.microsoft.com/en-us/azure/sql-database/sql-database-managed-instance-transact-sql-information


-- Missing Indexes for all databases by Index Advantage  (Query 18) (Missing Indexes All Databases)
SELECT CONVERT(decimal(18,2), user_seeks * avg_total_user_cost * (avg_user_impact * 0.01)) AS [index_advantage],
FORMAT(migs.last_user_seek, 'yyyy-MM-dd HH:mm:ss') 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], equality_columns) AS [similar_missing_indexes_for_table],
mid.equality_columns, mid.inequality_columns, mid.included_columns,
migs.unique_compiles, migs.user_seeks, 
CONVERT(decimal(18,2), migs.avg_total_user_cost) AS [avg_total_user_cost], migs.avg_user_impact 
FROM sys.dm_db_missing_index_group_stats AS migs WITH (NOLOCK)
INNER JOIN sys.dm_db_missing_index_groups AS mig WITH (NOLOCK)
ON migs.group_handle = mig.index_group_handle
INNER JOIN sys.dm_db_missing_index_details AS mid WITH (NOLOCK)
ON mig.index_handle = mid.index_handle
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!!!

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



-- Get VLF Counts for all databases on the instance (Query 19) (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)

-- Important change to VLF creation algorithm in SQL Server 2014
-- https://bit.ly/2Hsjbg4

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


-- Get CPU utilization by database (Query 20) (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], DatabaseID, [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
-- There are two copies on the master database. The low DatabaseID is the physical master, 
-- and the high DatabaseID is the replicated master
-- Note: This only reflects CPU usage from the currently cached query plans


-- Get I/O utilization by database (Query 21) (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], database_id
    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], database_id, 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


-- Get total buffer usage by database for current instance  (Query 22) (Total Buffer Usage by Database)
-- This make take some time to run on a busy instance
WITH AggregateBufferPoolUsage
AS
(SELECT DB_NAME(database_id) AS [Database Name], database_id,
CAST(COUNT(*) * 8/1024.0 AS DECIMAL (10,2))  AS [CachedSize]
FROM sys.dm_os_buffer_descriptors WITH (NOLOCK)
WHERE database_id <> 32767 -- ResourceDB
GROUP BY DB_NAME(database_id), database_id)
   SELECT ROW_NUMBER() OVER(ORDER BY CachedSize DESC) AS [Buffer Pool Rank], 
   [Database Name], database_id, CachedSize AS [Cached Size (MB)],
   CAST(CachedSize / SUM(CachedSize) OVER() * 100.0 AS DECIMAL(5,2)) AS [Buffer Pool Percent]
FROM AggregateBufferPoolUsage
ORDER BY [Buffer Pool Rank] OPTION (RECOMPILE);
------

-- Tells you how much memory (in the buffer pool) 
-- is being used by each database on the instance


-- Get tempdb version store space usage by database (Query 23) (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 24) (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'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_FABRIC_CALLBACK', 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_FILEOPS', N'PREEMPTIVE_OS_DEVICEOPS', N'PREEMPTIVE_OS_QUERYREGISTRY',
		N'PREEMPTIVE_OS_WRITEFILE',
		N'PREEMPTIVE_XE_CALLBACKEXECUTE', N'PREEMPTIVE_XE_DISPATCHER',
		N'PREEMPTIVE_XE_GETTARGETSTATE', N'PREEMPTIVE_XE_SESSIONCOMMIT',
		N'PREEMPTIVE_XE_TARGETINIT', N'PREEMPTIVE_XE_TARGETFINALIZE',
        N'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'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 25) (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 26) (Avg Task Counts)
SELECT AVG(current_tasks_count) AS [Avg Task Count], 
AVG(work_queue_count) AS [Avg Work Queue Count],
AVG(runnable_tasks_count) AS [Avg Runnable Task Count],
AVG(pending_disk_io_count) AS [Avg Pending DiskIO Count]
FROM sys.dm_os_schedulers WITH (NOLOCK)
WHERE scheduler_id < 255 OPTION (RECOMPILE);
------

-- Sustained values above 10 suggest further investigation in that area
-- 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/2q3Btgt



-- Detect blocking (run multiple times)  (Query 27) (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



-- Get CPU Utilization History for last 256 minutes (in one minute intervals)  (Query 28) (CPU Utilization History)
DECLARE @ts_now bigint = (SELECT cpu_ticks/(cpu_ticks/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'%<SystemHealth>%') AS x) AS y 
ORDER BY record_id DESC OPTION (RECOMPILE);
------

-- Look at the trend over the entire period 
-- Also look at high sustained 'Other Process' CPU Utilization values
-- 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 29) (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) LIKE N'%<MissingIndexes>%' THEN 1 ELSE 0 END AS [Has Missing Index], 
qs.creation_time AS [Creation Time]
--,t.[text] AS [Query Text], qp.query_plan AS [Query Plan] -- uncomment out these columns if not copying results to Excel
FROM sys.dm_exec_query_stats AS qs WITH (NOLOCK)
CROSS APPLY sys.dm_exec_sql_text(plan_handle) AS t 
CROSS APPLY sys.dm_exec_query_plan(plan_handle) AS qp 
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 30) (PLE by NUMA Node)
SELECT @@SERVERNAME AS [Server Name], RTRIM([object_name]) AS [Object Name], 
       instance_name, cntr_value AS [Page Life Expectancy]
FROM sys.dm_os_performance_counters WITH (NOLOCK)
WHERE [object_name] LIKE N'%Buffer Node%' -- Handles named instances
AND counter_name = N'Page life expectancy' OPTION (RECOMPILE);
------

-- PLE is a good measurement of internal memory pressure
-- Higher PLE is better. Watch the trend over time, not the absolute value
-- This will only return one row for non-NUMA systems

-- Page Life Expectancy isnt what you think
-- https://bit.ly/2EgynLa


-- Memory Grants Pending value for current instance  (Query 31) (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 32) (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

-- 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 33) (Ad hoc Queries)
SELECT TOP(50) DB_NAME(t.[dbid]) AS [Database Name], t.[text] AS [Query Text], 
cp.objtype AS [Object Type], cp.cacheobjtype AS [Cache Object Type],  
cp.size_in_bytes/1024 AS [Plan Size in KB]
FROM sys.dm_exec_cached_plans AS cp WITH (NOLOCK)
CROSS APPLY sys.dm_exec_sql_text(plan_handle) AS t
WHERE cp.cacheobjtype = N'Compiled Plan' 
AND cp.objtype IN (N'Adhoc', N'Prepared') 
AND cp.usecounts = 1
ORDER BY cp.size_in_bytes DESC, DB_NAME(t.[dbid]) OPTION (RECOMPILE);
------

-- Gives you the text, type and size of single-use ad-hoc and prepared queries that waste space in the plan cache
-- Enabling '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 34) (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) LIKE N'%<MissingIndexes>%' THEN 1 ELSE 0 END AS [Has Missing Index],
qs.creation_time AS [Creation Time]
--,t.[text] AS [Complete Query Text], qp.query_plan AS [Query Plan] -- uncomment out these columns if not copying results to Excel
FROM sys.dm_exec_query_stats AS qs WITH (NOLOCK)
CROSS APPLY sys.dm_exec_sql_text(plan_handle) AS t 
CROSS APPLY sys.dm_exec_query_plan(plan_handle) AS qp 
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 35) (Top Avg Elapsed Time Queries)
SELECT TOP(50) DB_NAME(t.[dbid]) AS [Database Name], 
REPLACE(REPLACE(LEFT(t.[text], 255), CHAR(10),''), CHAR(13),'') AS [Short Query Text],  
qs.total_elapsed_time/qs.execution_count AS [Avg Elapsed Time],
qs.min_elapsed_time, qs.max_elapsed_time, qs.last_elapsed_time,
qs.execution_count AS [Execution Count],  
qs.total_logical_reads/qs.execution_count AS [Avg Logical Reads], 
qs.total_physical_reads/qs.execution_count AS [Avg Physical Reads], 
qs.total_worker_time/qs.execution_count AS [Avg Worker Time],
CASE WHEN CONVERT(nvarchar(max), qp.query_plan) LIKE N'%<MissingIndexes>%' THEN 1 ELSE 0 END AS [Has Missing Index],
qs.creation_time AS [Creation Time]
--,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 36) (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


-- 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 37) (File Sizes and Space)
SELECT f.name AS [File Name] , f.physical_name AS [Physical Name], 
CAST((f.size/128.0) AS DECIMAL(15,2)) AS [Total Size in MB],
CAST(f.size/128.0 - CAST(FILEPROPERTY(f.name, 'SpaceUsed') AS int)/128.0 AS DECIMAL(15,2)) 
AS [Available Space In MB], f.[file_id], fg.name AS [Filegroup Name],
f.is_percent_growth, f.growth, fg.is_default, fg.is_read_only, 
fg.is_autogrow_all_files
FROM sys.database_files AS f WITH (NOLOCK) 
LEFT OUTER JOIN sys.filegroups AS fg WITH (NOLOCK)
ON f.data_space_id = fg.data_space_id
ORDER BY f.[file_id] OPTION (RECOMPILE);
------

-- Look at how large and how full the files are and where they are located
-- Make sure the transaction log is not full!!

-- 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 38) (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 39) (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 40) (Database-scoped Configurations)
SELECT configuration_id, name, [value] AS [value_for_primary]
FROM sys.database_scoped_configurations WITH (NOLOCK) OPTION (RECOMPILE);
------

-- This lets you see the value of these new properties for the current database

-- Clear plan cache for current database
-- ALTER DATABASE SCOPED CONFIGURATION CLEAR PROCEDURE_CACHE;

-- ALTER DATABASE SCOPED CONFIGURATION (Transact-SQL)
-- https://bit.ly/2sOH7nb


-- I/O Statistics by file for the current database  (Query 41) (IO Stats By File)
SELECT DB_NAME(DB_ID()) AS [Database Name], df.name AS [Logical Name], vfs.[file_id], df.type_desc,
df.physical_name AS [Physical Name], CAST(vfs.size_on_disk_bytes/1048576.0 AS DECIMAL(10, 2)) AS [Size on Disk (MB)],
vfs.num_of_reads, vfs.num_of_writes, vfs.io_stall_read_ms, vfs.io_stall_write_ms,
CAST(100. * vfs.io_stall_read_ms/(vfs.io_stall_read_ms + vfs.io_stall_write_ms) AS DECIMAL(10,1)) AS [IO Stall Reads Pct],
CAST(100. * vfs.io_stall_write_ms/(vfs.io_stall_write_ms + vfs.io_stall_read_ms) AS DECIMAL(10,1)) AS [IO Stall Writes Pct],
(vfs.num_of_reads + vfs.num_of_writes) AS [Writes + Reads], 
CAST(vfs.num_of_bytes_read/1048576.0 AS DECIMAL(10, 2)) AS [MB Read], 
CAST(vfs.num_of_bytes_written/1048576.0 AS DECIMAL(10, 2)) AS [MB Written],
CAST(100. * vfs.num_of_reads/(vfs.num_of_reads + vfs.num_of_writes) AS DECIMAL(10,1)) AS [# Reads Pct],
CAST(100. * vfs.num_of_writes/(vfs.num_of_reads + vfs.num_of_writes) AS DECIMAL(10,1)) AS [# Write Pct],
CAST(100. * vfs.num_of_bytes_read/(vfs.num_of_bytes_read + vfs.num_of_bytes_written) AS DECIMAL(10,1)) AS [Read Bytes Pct],
CAST(100. * vfs.num_of_bytes_written/(vfs.num_of_bytes_read + vfs.num_of_bytes_written) AS DECIMAL(10,1)) AS [Written Bytes Pct]
FROM sys.dm_io_virtual_file_stats(DB_ID(), NULL) AS vfs
INNER JOIN sys.database_files AS df WITH (NOLOCK)
ON vfs.[file_id]= df.[file_id] OPTION (RECOMPILE);
------

-- This helps you characterize your workload better from an I/O perspective for this database
-- It helps you determine whether you has an OLTP or DW/DSS type of workload



-- Get most frequently executed queries for this database (Query 42) (Query Execution Counts)
SELECT TOP(50) LEFT(t.[text], 50) AS [Short Query Text], qs.execution_count AS [Execution Count],
qs.total_logical_reads AS [Total Logical Reads],
qs.total_logical_reads/qs.execution_count AS [Avg Logical Reads],
qs.total_worker_time AS [Total Worker Time],
qs.total_worker_time/qs.execution_count AS [Avg Worker Time], 
qs.total_elapsed_time AS [Total Elapsed Time],
qs.total_elapsed_time/qs.execution_count AS [Avg Elapsed Time],
CASE WHEN CONVERT(nvarchar(max), qp.query_plan) LIKE N'%<MissingIndexes>%' THEN 1 ELSE 0 END AS [Has Missing Index], 
qs.creation_time AS [Creation Time]
--,t.[text] AS [Complete Query Text], qp.query_plan AS [Query Plan] -- uncomment out these columns if not copying results to Excel
FROM sys.dm_exec_query_stats AS qs WITH (NOLOCK)
CROSS APPLY sys.dm_exec_sql_text(plan_handle) AS t 
CROSS APPLY sys.dm_exec_query_plan(plan_handle) AS qp 
WHERE t.dbid = DB_ID()
ORDER BY qs.execution_count DESC OPTION (RECOMPILE);
------


-- Queries 48 through 53 are the "Bad Man List" for stored procedures

-- Top Cached SPs By Execution Count (Query 43) (SP Execution Counts)
SELECT TOP(100) p.name AS [SP Name], qs.execution_count AS [Execution Count],
ISNULL(qs.execution_count/DATEDIFF(Minute, qs.cached_time, GETDATE()), 0) AS [Calls/Minute],
qs.total_elapsed_time/qs.execution_count AS [Avg Elapsed Time],
qs.total_worker_time/qs.execution_count AS [Avg Worker Time],    
qs.total_logical_reads/qs.execution_count AS [Avg Logical Reads],
CASE WHEN CONVERT(nvarchar(max), qp.query_plan) LIKE N'%<MissingIndexes>%' THEN 1 ELSE 0 END AS [Has Missing Index],
FORMAT(qs.last_execution_time, 'yyyy-MM-dd HH:mm:ss', 'en-US') AS [Last Execution Time], 
FORMAT(qs.cached_time, 'yyyy-MM-dd HH:mm:ss', 'en-US') AS [Plan Cached Time]
-- ,qp.query_plan AS [Query Plan] -- Uncomment if you want the Query Plan
FROM sys.procedures AS p WITH (NOLOCK)
INNER JOIN sys.dm_exec_procedure_stats AS qs WITH (NOLOCK)
ON p.[object_id] = qs.[object_id]
CROSS APPLY sys.dm_exec_query_plan(qs.plan_handle) AS qp
WHERE qs.database_id = DB_ID()
AND DATEDIFF(Minute, qs.cached_time, GETDATE()) > 0
ORDER BY qs.execution_count DESC OPTION (RECOMPILE);
------

-- Tells you which cached stored procedures are called the most often
-- This helps you characterize and baseline your workload


-- Top Cached SPs By Avg Elapsed Time (Query 44) (SP Avg Elapsed Time)
SELECT TOP(25) p.name AS [SP Name], qs.min_elapsed_time, qs.total_elapsed_time/qs.execution_count AS [avg_elapsed_time], 
qs.max_elapsed_time, qs.last_elapsed_time, qs.total_elapsed_time, qs.execution_count, 
ISNULL(qs.execution_count/DATEDIFF(Minute, qs.cached_time, GETDATE()), 0) AS [Calls/Minute], 
qs.total_worker_time/qs.execution_count AS [AvgWorkerTime], 
qs.total_worker_time AS [TotalWorkerTime],
CASE WHEN CONVERT(nvarchar(max), qp.query_plan) LIKE N'%<MissingIndexes>%' THEN 1 ELSE 0 END AS [Has Missing Index],
FORMAT(qs.last_execution_time, 'yyyy-MM-dd HH:mm:ss', 'en-US') AS [Last Execution Time], 
FORMAT(qs.cached_time, 'yyyy-MM-dd HH:mm:ss', 'en-US') AS [Plan Cached Time]
-- ,qp.query_plan AS [Query Plan] -- Uncomment if you want the Query Plan
FROM sys.procedures AS p WITH (NOLOCK)
INNER JOIN sys.dm_exec_procedure_stats AS qs WITH (NOLOCK)
ON p.[object_id] = qs.[object_id]
CROSS APPLY sys.dm_exec_query_plan(qs.plan_handle) AS qp
WHERE qs.database_id = DB_ID()
AND DATEDIFF(Minute, qs.cached_time, GETDATE()) > 0
ORDER BY avg_elapsed_time DESC OPTION (RECOMPILE);
------

-- This helps you find high average elapsed time cached stored procedures that
-- may be easy to optimize with standard query tuning techniques



-- Top Cached SPs By Total Worker time. Worker time relates to CPU cost  (Query 45) (SP Worker Time)
SELECT TOP(25) p.name AS [SP Name], qs.total_worker_time AS [TotalWorkerTime], 
qs.total_worker_time/qs.execution_count AS [AvgWorkerTime], qs.execution_count, 
ISNULL(qs.execution_count/DATEDIFF(Minute, qs.cached_time, GETDATE()), 0) AS [Calls/Minute],
qs.total_elapsed_time, qs.total_elapsed_time/qs.execution_count AS [avg_elapsed_time],
CASE WHEN CONVERT(nvarchar(max), qp.query_plan) LIKE N'%<MissingIndexes>%' THEN 1 ELSE 0 END AS [Has Missing Index],
FORMAT(qs.last_execution_time, 'yyyy-MM-dd HH:mm:ss', 'en-US') AS [Last Execution Time], 
FORMAT(qs.cached_time, 'yyyy-MM-dd HH:mm:ss', 'en-US') AS [Plan Cached Time]
--,qp.query_plan AS [Query Plan] -- Uncomment if you want the Query Plan
FROM sys.procedures AS p WITH (NOLOCK)
INNER JOIN sys.dm_exec_procedure_stats AS qs WITH (NOLOCK)
ON p.[object_id] = qs.[object_id]
CROSS APPLY sys.dm_exec_query_plan(qs.plan_handle) AS qp
WHERE qs.database_id = DB_ID()
AND DATEDIFF(Minute, qs.cached_time, GETDATE()) > 0
ORDER BY qs.total_worker_time DESC OPTION (RECOMPILE);
------

-- This helps you find the most expensive cached stored procedures from a CPU perspective
-- You should look at this if you see signs of CPU pressure


-- Top Cached SPs By Total Logical Reads. Logical reads relate to memory pressure  (Query 46) (SP Logical Reads)
SELECT TOP(25) p.name AS [SP Name], qs.total_logical_reads AS [TotalLogicalReads], 
qs.total_logical_reads/qs.execution_count AS [AvgLogicalReads],qs.execution_count, 
ISNULL(qs.execution_count/DATEDIFF(Minute, qs.cached_time, GETDATE()), 0) AS [Calls/Minute], 
qs.total_elapsed_time, qs.total_elapsed_time/qs.execution_count AS [avg_elapsed_time],
CASE WHEN CONVERT(nvarchar(max), qp.query_plan) LIKE N'%<MissingIndexes>%' THEN 1 ELSE 0 END AS [Has Missing Index], 
FORMAT(qs.last_execution_time, 'yyyy-MM-dd HH:mm:ss', 'en-US') AS [Last Execution Time], 
FORMAT(qs.cached_time, 'yyyy-MM-dd HH:mm:ss', 'en-US') AS [Plan Cached Time]
-- ,qp.query_plan AS [Query Plan] -- Uncomment if you want the Query Plan
FROM sys.procedures AS p WITH (NOLOCK)
INNER JOIN sys.dm_exec_procedure_stats AS qs WITH (NOLOCK)
ON p.[object_id] = qs.[object_id]
CROSS APPLY sys.dm_exec_query_plan(qs.plan_handle) AS qp
WHERE qs.database_id = DB_ID()
AND DATEDIFF(Minute, qs.cached_time, GETDATE()) > 0
ORDER BY qs.total_logical_reads DESC OPTION (RECOMPILE);
------

-- This helps you find the most expensive cached stored procedures from a memory perspective
-- You should look at this if you see signs of memory pressure


-- Top Cached SPs By Total Physical Reads. Physical reads relate to disk read I/O pressure  (Query 47) (SP Physical Reads)
SELECT TOP(25) p.name AS [SP Name],qs.total_physical_reads AS [TotalPhysicalReads], 
qs.total_physical_reads/qs.execution_count AS [AvgPhysicalReads], qs.execution_count, 
qs.total_logical_reads,qs.total_elapsed_time, qs.total_elapsed_time/qs.execution_count AS [avg_elapsed_time],
CASE WHEN CONVERT(nvarchar(max), qp.query_plan) LIKE N'%<MissingIndexes>%' THEN 1 ELSE 0 END AS [Has Missing Index],
FORMAT(qs.last_execution_time, 'yyyy-MM-dd HH:mm:ss', 'en-US') AS [Last Execution Time], 
FORMAT(qs.cached_time, 'yyyy-MM-dd HH:mm:ss', 'en-US') AS [Plan Cached Time]
-- ,qp.query_plan AS [Query Plan] -- Uncomment if you want the Query Plan 
FROM sys.procedures AS p WITH (NOLOCK)
INNER JOIN sys.dm_exec_procedure_stats AS qs WITH (NOLOCK)
ON p.[object_id] = qs.[object_id]
CROSS APPLY sys.dm_exec_query_plan(qs.plan_handle) AS qp
WHERE qs.database_id = DB_ID()
AND qs.total_physical_reads > 0
ORDER BY qs.total_physical_reads DESC, qs.total_logical_reads DESC OPTION (RECOMPILE);
------

-- This helps you find the most expensive cached stored procedures from a read I/O perspective
-- You should look at this if you see signs of I/O pressure or of memory pressure
       


-- Top Cached SPs By Total Logical Writes (Query 48) (SP Logical Writes)
-- Logical writes relate to both memory and disk I/O pressure 
SELECT TOP(25) p.name AS [SP Name], qs.total_logical_writes AS [TotalLogicalWrites], 
qs.total_logical_writes/qs.execution_count AS [AvgLogicalWrites], qs.execution_count,
ISNULL(qs.execution_count/DATEDIFF(Minute, qs.cached_time, GETDATE()), 0) AS [Calls/Minute],
qs.total_elapsed_time, qs.total_elapsed_time/qs.execution_count AS [avg_elapsed_time],
CASE WHEN CONVERT(nvarchar(max), qp.query_plan) LIKE N'%<MissingIndexes>%' THEN 1 ELSE 0 END AS [Has Missing Index], 
FORMAT(qs.last_execution_time, 'yyyy-MM-dd HH:mm:ss', 'en-US') AS [Last Execution Time], 
FORMAT(qs.cached_time, 'yyyy-MM-dd HH:mm:ss', 'en-US') AS [Plan Cached Time]
-- ,qp.query_plan AS [Query Plan] -- Uncomment if you want the Query Plan 
FROM sys.procedures AS p WITH (NOLOCK)
INNER JOIN sys.dm_exec_procedure_stats AS qs WITH (NOLOCK)
ON p.[object_id] = qs.[object_id]
CROSS APPLY sys.dm_exec_query_plan(qs.plan_handle) AS qp
WHERE qs.database_id = DB_ID()
AND qs.total_logical_writes > 0
AND DATEDIFF(Minute, qs.cached_time, GETDATE()) > 0
ORDER BY qs.total_logical_writes DESC OPTION (RECOMPILE);
------

-- This helps you find the most expensive cached stored procedures from a write I/O perspective
-- You should look at this if you see signs of I/O pressure or of memory pressure


-- Lists the top statements by average input/output usage for the current database  (Query 49) (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 50) (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 51) (Missing Indexes)
SELECT DISTINCT CONVERT(decimal(18,2), user_seeks * avg_total_user_cost * (avg_user_impact * 0.01)) AS [index_advantage], 
migs.last_user_seek, mid.[statement] AS [Database.Schema.Table],
mid.equality_columns, mid.inequality_columns, mid.included_columns,
migs.unique_compiles, migs.user_seeks, migs.avg_total_user_cost, migs.avg_user_impact,
OBJECT_NAME(mid.[object_id]) AS [Table Name], p.rows AS [Table Rows]
FROM sys.dm_db_missing_index_group_stats AS migs WITH (NOLOCK)
INNER JOIN sys.dm_db_missing_index_groups AS mig WITH (NOLOCK)
ON migs.group_handle = mig.index_group_handle
INNER JOIN sys.dm_db_missing_index_details AS mid WITH (NOLOCK)
ON mig.index_handle = mid.index_handle
INNER JOIN sys.partitions AS p WITH (NOLOCK)
ON p.[object_id] = mid.[object_id]
WHERE mid.database_id = DB_ID()
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!!!


-- Find missing index warnings for cached plans in the current database  (Query 52) (Missing Index Warnings)
-- Note: This query could take some time on a busy instance
SELECT TOP(25) OBJECT_NAME(objectid) AS [ObjectName], 
               cp.objtype, cp.usecounts, cp.size_in_bytes, query_plan
FROM sys.dm_exec_cached_plans AS cp WITH (NOLOCK)
CROSS APPLY sys.dm_exec_query_plan(cp.plan_handle) AS qp
WHERE CAST(query_plan AS NVARCHAR(MAX)) LIKE N'%MissingIndex%'
AND dbid = DB_ID()
ORDER BY cp.usecounts DESC OPTION (RECOMPILE);
------

-- Helps you connect missing indexes to specific stored procedures or queries
-- This can help you decide whether to add them or not


-- Breaks down buffers used by current database by object (table, index) in the buffer cache  (Query 53) (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 Table names, row counts, and compression status for clustered index or heap  (Query 54) (Table Sizes)
SELECT SCHEMA_NAME(o.Schema_ID) AS [Schema Name], OBJECT_NAME(p.object_id) AS [ObjectName], 
SUM(p.Rows) AS [RowCount], data_compression_desc AS [CompressionType]
FROM sys.partitions AS p WITH (NOLOCK)
INNER JOIN sys.objects AS o WITH (NOLOCK)
ON p.object_id = o.object_id
WHERE index_id < 2 --ignore the partitions from the non-clustered index if any
AND OBJECT_NAME(p.object_id) NOT LIKE N'sys%'
AND OBJECT_NAME(p.object_id) NOT LIKE N'spt_%'
AND OBJECT_NAME(p.object_id) NOT LIKE N'queue_%' 
AND OBJECT_NAME(p.object_id) NOT LIKE N'filestream_tombstone%' 
AND OBJECT_NAME(p.object_id) NOT LIKE N'fulltext%'
AND OBJECT_NAME(p.object_id) NOT LIKE N'ifts_comp_fragment%'
AND OBJECT_NAME(p.object_id) NOT LIKE N'filetable_updates%'
AND OBJECT_NAME(p.object_id) NOT LIKE N'xml_index_nodes%'
AND OBJECT_NAME(p.object_id) NOT LIKE N'sqlagent_job%'
AND OBJECT_NAME(p.object_id) NOT LIKE N'plan_persist%'
GROUP BY  SCHEMA_NAME(o.Schema_ID), p.object_id, data_compression_desc
ORDER BY SUM(p.Rows) DESC OPTION (RECOMPILE);
------

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



-- Get some key table properties (Query 55) (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 56) (Statistics Update)
SELECT SCHEMA_NAME(o.Schema_ID) + N'.' + o.[NAME] AS [Object Name], o.[type_desc] AS [Object Type],
      i.[name] AS [Index Name], STATS_DATE(i.[object_id], i.index_id) AS [Statistics Date], 
      s.auto_created, s.no_recompute, s.user_created, s.is_incremental, s.is_temporary,
	  st.row_count, st.used_page_count
FROM sys.objects AS o WITH (NOLOCK)
INNER JOIN sys.indexes AS i WITH (NOLOCK)
ON o.[object_id] = i.[object_id]
INNER JOIN sys.stats AS s WITH (NOLOCK)
ON i.[object_id] = s.[object_id] 
AND i.index_id = s.stats_id
INNER JOIN sys.dm_db_partition_stats AS st WITH (NOLOCK)
ON o.[object_id] = st.[object_id]
AND i.[index_id] = st.[index_id]
WHERE o.[type] IN ('U', 'V')
AND st.row_count > 0
ORDER BY STATS_DATE(i.[object_id], i.index_id) DESC OPTION (RECOMPILE);
------  

-- Helps discover possible problems with out-of-date statistics
-- Also gives you an idea which indexes are the most active

-- sys.stats (Transact-SQL)
-- https://bit.ly/2GyAxrn

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




-- Look at most frequently modified indexes and statistics (Query 57) (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 58) (Index Fragmentation)
-- Note: This query could take some time on a very large database
SELECT DB_NAME(ps.database_id) AS [Database Name], SCHEMA_NAME(o.[schema_id]) AS [Schema Name],
OBJECT_NAME(ps.OBJECT_ID) AS [Object Name], i.[name] AS [Index Name], ps.index_id, 
ps.index_type_desc, ps.avg_fragmentation_in_percent, 
ps.fragment_count, ps.page_count, i.fill_factor, i.has_filter, 
i.filter_definition, i.[allow_page_locks]
FROM sys.dm_db_index_physical_stats(DB_ID(),NULL, NULL, NULL , N'LIMITED') AS ps
INNER JOIN sys.indexes AS i WITH (NOLOCK)
ON ps.[object_id] = i.[object_id] 
AND ps.index_id = i.index_id
INNER JOIN sys.objects AS o WITH (NOLOCK)
ON i.[object_id] = o.[object_id]
WHERE ps.database_id = DB_ID()
AND ps.page_count > 2500
ORDER BY ps.avg_fragmentation_in_percent DESC OPTION (RECOMPILE);
------

-- Helps determine whether you have framentation in your relational indexes
-- and how effective your index maintenance strategy is


--- Index Read/Write stats (all tables in current DB) ordered by Reads  (Query 59) (Overall Index Usage - Reads)
SELECT OBJECT_NAME(i.[object_id]) AS [ObjectName], i.[name] AS [IndexName], i.index_id, 
       s.user_seeks, s.user_scans, s.user_lookups,
	   s.user_seeks + s.user_scans + s.user_lookups AS [Total Reads], 
	   s.user_updates AS [Writes],  
	   i.[type_desc] AS [Index Type], i.fill_factor AS [Fill Factor], i.has_filter, i.filter_definition, 
	   s.last_user_scan, s.last_user_lookup, s.last_user_seek
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()
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 60) (Overall Index Usage - Writes)
SELECT OBJECT_NAME(i.[object_id]) AS [ObjectName], i.[name] AS [IndexName], i.index_id,
	   s.user_updates AS [Writes], s.user_seeks + s.user_scans + s.user_lookups AS [Total Reads], 
	   i.[type_desc] AS [Index Type], i.fill_factor AS [Fill Factor], i.has_filter, i.filter_definition,
	   s.last_system_update, s.last_user_update
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()
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



-- Look at Columnstore index physical statistics (Query 61) (Columnstore Index Physical Stat)
SELECT OBJECT_NAME(ps.object_id) AS [TableName],  
	i.[name] AS [IndexName], ps.index_id, ps.partition_number,
	ps.delta_store_hobt_id, ps.state_desc, ps.total_rows, ps.size_in_bytes,
	ps.trim_reason_desc, ps.generation, ps.transition_to_compressed_state_desc,
	ps.has_vertipaq_optimization, ps.deleted_rows,
	100 * (ISNULL(ps.deleted_rows, 0))/ps.total_rows AS [Fragmentation]
FROM sys.dm_db_column_store_row_group_physical_stats AS ps WITH (NOLOCK)
INNER JOIN sys.indexes AS i WITH (NOLOCK)
ON ps.object_id = i.object_id 
AND ps.index_id = i.index_id
ORDER BY ps.object_id, ps.partition_number, ps.row_group_id OPTION (RECOMPILE);
------

-- sys.dm_db_column_store_row_group_physical_stats (Transact-SQL)
-- https://bit.ly/2q276XQ



-- Get lock waits for current database (Query 62) (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.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



-- Look at UDF execution statistics (Query 63) (UDF Statistics)
SELECT OBJECT_NAME(object_id) AS [Function Name], execution_count,
	   total_worker_time, total_logical_reads, total_physical_reads, total_elapsed_time, 
	   total_elapsed_time/execution_count AS [avg_elapsed_time],
	   FORMAT(cached_time, 'yyyy-MM-dd HH:mm:ss', 'en-US') 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 64) (Inlineable UDFs)
SELECT OBJECT_NAME(m.object_id) AS [Function Name], m.is_inlineable, m.inline_type, m.definition
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'
OPTION (RECOMPILE);
------

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

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


-- Get QueryStore Options for this database (Query 65) (QueryStore 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
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



-- Get input buffer information for the current database (Query 66) (Input Buffer)
SELECT es.session_id, DB_NAME(es.database_id) AS [Database 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.session_id > 50
AND es.session_id <> @@SPID 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 67) (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 68) (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 69) (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.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
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' 
ORDER BY bs.backup_finish_date DESC OPTION (RECOMPILE);
------

-- Automatic database backups by the MI Service will not appear in this list

-- 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?

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


-- These six Pluralsight Courses go into more detail about how to run these queries and interpret the results

-- Azure SQL Database: Diagnosing Performance Issues with DMVs
-- https://bit.ly/2meDRCN

-- SQL Server 2017: Diagnosing Performance Issues with DMVs
-- https://bit.ly/2FqCeti

-- SQL Server 2017: Diagnosing Configuration Issues with DMVs
-- https://bit.ly/2MSUDUL

-- SQL Server 2014 DMV Diagnostic Queries  Part 1 
-- https://bit.ly/2plxCer

-- SQL Server 2014 DMV Diagnostic Queries  Part 2
-- https://bit.ly/2IuJpzI

-- SQL Server 2014 DMV Diagnostic Queries  Part 3
-- https://bit.ly/2FIlCPb



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

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