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Transactional SQL Server Replication Toolbox Scripts

Transactional SQL Server Replication Toolbox Scripts

Originally published on KendalVanDyke.com.

During the last few years I’ve worked extensively with transactional replication and have written a handful of scripts that have found a permanent home in my “useful scripts” toolbox. I’ve provided these scripts as downloads whenever I’ve presented about replication…but not everyone who has worked with replication has been to one of my presentations (or had access to the downloads afterwards) so I’m posting them in this Transactional SQL Server Replication Toolbox Scripts series.

The first script in my toolbox shows all of the articles and columns in each article for all transactional publications in a published database. It’s pretty straightforward – just execute the script in the published database on the publisher. Note that because it uses the FOR XML PATH directive it must be run on SQL 2005 or higher.

/********************************************************************************************* 
Transactional SQL Server Replication Toolbox Scripts: Show Articles and Columns for All Publications 

Description: 
   Shows articles and columns for each article for all transactional publications 

   (C) 2013, Kendal Van Dyke (mailto:[email protected]) 

Version History: 
   v1.00 (2013-01-29) 

License: 
   This query is free to download and use for personal, educational, and internal 
   corporate purposes, provided that this header is preserved. Redistribution or sale 
   of this query, in whole or in part, is prohibited without the author's express 
   written consent. 

Note: 
   Execute this query in the published database on the PUBLISHER 

   Because this query uses FOR XML PATH('') it requires SQL 2005 or higher 
   
*********************************************************************************************/ 

SELECT 
   syspublications.name AS "Publication", 
   sysarticles.name AS "Article", 
   STUFF( 
       ( 
           SELECT ', ' + syscolumns.name AS [text()] 
           FROM sysarticlecolumns WITH (NOLOCK) 
               INNER JOIN syscolumns WITH (NOLOCK) ON sysarticlecolumns.colid = syscolumns.colorder 
           WHERE sysarticlecolumns.artid = sysarticles.artid 
               AND sysarticles.objid = syscolumns.id 
           ORDER BY syscolumns.colorder 
           FOR XML PATH('') 
       ), 1, 2, '' 
   ) AS "Columns" FROM syspublications WITH (NOLOCK) 
   INNER JOIN sysarticles WITH (NOLOCK) ON syspublications.pubid = sysarticles.pubid 
ORDER BY syspublications.name, sysarticles.name

 

About the Author

Microsoft SQL Server MVP & Principal Consultant

Kendal Van Dyke

UpSearch Alum Kendal Van Dyke is a database strategist, community advocate, public speaker and blogger. He is passionate about helping leaders use Microsoft's SQL Server to solve complex problems that protect, unlock and optimize data's value.

Since 1999, Kendal has specialized in SQL Server database management solutions and provided IT strategy consulting. Kendal excels at disaster recovery, high availability planning/implementation and debugging/troubleshooting mission critical SQL Server environments.

Kendal Van Dyke served the SQL Server community as Founder and President of MagicPass, the Orlando, FL based chapter of the Professional Association for SQL Server (PASS). In 2012, Kendal served as a member of the PASS Board of Directors.

Kendal remains active in the SQL Server community as a speaker and blogger. He teaches SQL Server enthusiast and technology leaders how to protect, unlock and optimize data’s value. Since 2008, Kendal has operated a SQL Server focused blog at http://www.kendalvandyke.com/.

Microsoft acknowledged Kendal for his support and outstanding contributions to the SQL Server community by awarding him Microsoft MVP (2011-15). Learn more about Kendal Van Dyke https://upsearch.com/kendal-van-dyke/.

SQL Server Health Check Series

This blog series will help you decide if UpSearch’s <span style=”color: #0000ff;”><a style=”color: #0000ff;” href=”https://upsearch.com/microsoft-sql-server-health-check/” target=”_blank”>SQL Server Health Check</a></span> is right for your organization. Follow the links below to learn how you can use our assessment to identify and resolve SQL Server problems.


<ol>
<li><span style=”color: #0000ff;”><a style=”color: #0000ff;” href=”https://upsearch.com/sql-server-health-check-introduction/” target=”_blank”>SQL Server Health Check Introduction</a></span></li>
<li><span style=”color: #0000ff;”><a style=”color: #0000ff;” href=”https://upsearch.com/sql-server-health-check-benefits/” target=”_blank”>SQL Server Health Check Benefits</a></span></li>
<li><span style=”color: #0000ff;”><a style=”color: #0000ff;” href=”https://upsearch.com/sql-server-health-check-step-1-collect-metrics/” target=”_blank”>SQL Server Health Check Process – Step 1</a></span></li>
<li><span style=”color: #0000ff;”><a style=”color: #0000ff;” href=”https://upsearch.com/sql-server-health-check-step-2-analyze-results/” target=”_blank”>SQL Server Health Check Process – Step 2</a></span></li>
<li><span style=”color: #0000ff;”><a style=”color: #0000ff;” href=”https://upsearch.com/sql-server-health-check-step-3-report-findings/” target=”_blank”>SQL Server Health Check Process – Step 3</a></span></li>

</ol>

About UpSearch

up-social-round

UpSearch is a company of data management and analytics experts who enable digital maturity with Microsoft’s technologies. Its mission is to enable every leader to unlock data’s full potential. UpSearch provides full lifecycle support for SQL Server, SQL Server in Azure (IaaS), Azure SQL DB (PaaS), Azure SQL DW (PaaS), Analytics Platform System (APS), and Power BI.

SQL Server Replication Gotcha – Multiple Publications

SQL Server Replication Gotcha - Multiple PublicationsOriginally published on KendalVanDyke.com.

Here is another SQL Server Replication Gotcha – Multiple Publications. When administering replication topologies it’s common to group articles into publications based on roles that subscribers fulfill. Often you’ll have multiple subscriber roles and therefore multiple publications, and in some cases a subset of articles are common between them. There’s nothing to prevent you from adding the same article to more than one publication but I wanted to point out how this can potentially lead to major performance problems with replication.

Let’s start with a sample table:

CREATE TABLE [dbo].[ReplDemo]
    (
      [ReplDemoID] [int] IDENTITY(1, 1) NOT FOR REPLICATION
                         NOT NULL ,
      [SomeValue] [varchar](20) NOT NULL ,
      CONSTRAINT [PK_ReplDemo] PRIMARY KEY CLUSTERED ( [ReplDemoID] ASC )
        ON [PRIMARY]
    )
ON  [PRIMARY]
GO

Now let’s pretend that we need this table replicated to two subscribers which have different roles. We’ll create one publication for each role and add the table to both publications:

-- Adding the transactional publication
EXEC sp_addpublication @publication = N'ReplDemo Publication A',
    @description = N'Publication to demonstrate behavior when same article is in multiple publications',
    @sync_method = N'concurrent', @retention = 0, @allow_push = N'true',
    @allow_pull = N'true', @allow_anonymous = N'false',
    @enabled_for_internet = N'false', @snapshot_in_defaultfolder = N'true',
    @compress_snapshot = N'false', @ftp_port = 21, @ftp_login = N'anonymous',
    @allow_subscription_copy = N'false', @add_to_active_directory = N'false',
    @repl_freq = N'continuous', @status = N'active',
    @independent_agent = N'true', @immediate_sync = N'false',
    @allow_sync_tran = N'false', @autogen_sync_procs = N'false',
    @allow_queued_tran = N'false', @allow_dts = N'false', @replicate_ddl = 1,
    @allow_initialize_from_backup = N'false', @enabled_for_p2p = N'false',
    @enabled_for_het_sub = N'false'
GO
EXEC sp_addpublication_snapshot @publication = N'ReplDemo Publication A',
    @frequency_type = 1, @frequency_interval = 0,
    @frequency_relative_interval = 0, @frequency_recurrence_factor = 0,
    @frequency_subday = 0, @frequency_subday_interval = 0,
    @active_start_time_of_day = 0, @active_end_time_of_day = 235959,
    @active_start_date = 0, @active_end_date = 0, @job_login = NULL,
    @job_password = NULL, @publisher_security_mode = 1
GO
-- Adding the transactional articles
EXEC sp_addarticle @publication = N'ReplDemo Publication A',
    @article = N'ReplDemo', @source_owner = N'dbo',
    @source_object = N'ReplDemo', @type = N'logbased', @description = N'',
    @creation_script = N'', @pre_creation_cmd = N'drop',
    @schema_option = 0x00000000080350DF,
    @identityrangemanagementoption = N'manual',
    @destination_table = N'ReplDemo', @destination_owner = N'dbo', @status = 8,
    @vertical_partition = N'false',
    @ins_cmd = N'CALL [dbo].[sp_MSins_dboReplDemo]',
    @del_cmd = N'CALL [dbo].[sp_MSdel_dboReplDemo]',
    @upd_cmd = N'SCALL [dbo].[sp_MSupd_dboReplDemo]'
GO 

-- Adding the transactional publication
EXEC sp_addpublication @publication = N'ReplDemo Publication B',
    @description = N'Publication to demonstrate behavior when same article is in multiple publications',
    @sync_method = N'concurrent', @retention = 0, @allow_push = N'true',
    @allow_pull = N'true', @allow_anonymous = N'false',
    @enabled_for_internet = N'false', @snapshot_in_defaultfolder = N'true',
    @compress_snapshot = N'false', @ftp_port = 21, @ftp_login = N'anonymous',
    @allow_subscription_copy = N'false', @add_to_active_directory = N'false',
    @repl_freq = N'continuous', @status = N'active',
    @independent_agent = N'true', @immediate_sync = N'false',
    @allow_sync_tran = N'false', @autogen_sync_procs = N'false',
    @allow_queued_tran = N'false', @allow_dts = N'false', @replicate_ddl = 1,
    @allow_initialize_from_backup = N'false', @enabled_for_p2p = N'false',
    @enabled_for_het_sub = N'false'
GO
EXEC sp_addpublication_snapshot @publication = N'ReplDemo Publication B',
    @frequency_type = 1, @frequency_interval = 0,
    @frequency_relative_interval = 0, @frequency_recurrence_factor = 0,
    @frequency_subday = 0, @frequency_subday_interval = 0,
    @active_start_time_of_day = 0, @active_end_time_of_day = 235959,
    @active_start_date = 0, @active_end_date = 0, @job_login = NULL,
    @job_password = NULL, @publisher_security_mode = 1
GO
-- Adding the transactional articles
EXEC sp_addarticle @publication = N'ReplDemo Publication B',
    @article = N'ReplDemo', @source_owner = N'dbo',
    @source_object = N'ReplDemo', @type = N'logbased', @description = N'',
    @creation_script = N'', @pre_creation_cmd = N'drop',
    @schema_option = 0x00000000080350DF,
    @identityrangemanagementoption = N'manual',
    @destination_table = N'ReplDemo', @destination_owner = N'dbo', @status = 8,
    @vertical_partition = N'false',
    @ins_cmd = N'CALL [dbo].[sp_MSins_dboReplDemo]',
    @del_cmd = N'CALL [dbo].[sp_MSdel_dboReplDemo]',
    @upd_cmd = N'SCALL [dbo].[sp_MSupd_dboReplDemo]'
GO

After creating the publications we create our subscriptions, take & apply the snapshot, and we’re ready to start making changes so we execute this simple insert statement:

INSERT  INTO dbo.ReplDemo
        ( SomeValue )
VALUES  ( 'Test' )

Here’s the million dollar question: How many times does this insert statement get added to the distribution database? To find out we’ll run the following statement on the distributor (after the log reader agent has done it’s work, of course):

SELECT  MSrepl_commands.xact_seqno ,
        MSrepl_commands.article_id ,
        MSrepl_commands.command_id ,
        MSsubscriptions.subscriber_id
FROM    distribution.dbo.MSrepl_commands AS [MSrepl_commands]
        INNER JOIN distribution.dbo.MSsubscriptions AS [MSsubscriptions] ON MSrepl_commands.publisher_database_id = MSsubscriptions.publisher_database_id
                                                              AND MSrepl_commands.article_id = MSsubscriptions.article_id
        INNER JOIN distribution.dbo.MSarticles AS [MSarticles] ON MSsubscriptions.publisher_id = MSarticles.publisher_id
                                                              AND MSsubscriptions.publication_id = MSarticles.publication_id
                                                              AND MSsubscriptions.article_id = MSarticles.article_id
WHERE   MSarticles.article = 'ReplDemo'
ORDER BY MSrepl_commands.xact_seqno ,
        MSrepl_commands.article_id ,
        MSrepl_commands.command_id

Here’s the output of the statement:

Query Results

That’s one row for each publication the table article is included in. Now imagine that an update statement affects 100,000 rows in the table. In this example that would turn into 200,000 rows that will be inserted into the distribution database and need to be cleaned up at a later date. It’s not hard to see how this could lead to performance problems for tables that see a high volume of insert\update\delete activity.

Workarounds
Two workarounds for this behavior come to mind:

  1. Modify data using stored procedures, then replicate both their schema and execution. This won’t help for insert statements and is useless if you’re only updating\deleting a single row each time the procedure executes. This also assumes that all dependencies necessary for the stored procedure(s) to execute exist at the subscriber
  2. Limit table articles to one publication per article. If you’re creating publications from scratch then place table articles that would otherwise be included in multiple publications into their own distinct publication. If you’re working with existing publications that already include the table article then subscribe only to the article(s) that you need rather than adding the article to another publication. (Subscribing to individual articles within a publication can get tricky – I’ll demonstrate how to do this in a future post)

 

About the Author

Microsoft SQL Server MVP & Principal Consultant

Kendal Van Dyke

UpSearch Alum Kendal Van Dyke is a database strategist, community advocate, public speaker and blogger. He is passionate about helping leaders use Microsoft's SQL Server to solve complex problems that protect, unlock and optimize data's value.

Since 1999, Kendal has specialized in SQL Server database management solutions and provided IT strategy consulting. Kendal excels at disaster recovery, high availability planning/implementation and debugging/troubleshooting mission critical SQL Server environments.

Kendal Van Dyke served the SQL Server community as Founder and President of MagicPass, the Orlando, FL based chapter of the Professional Association for SQL Server (PASS). In 2012, Kendal served as a member of the PASS Board of Directors.

Kendal remains active in the SQL Server community as a speaker and blogger. He teaches SQL Server enthusiast and technology leaders how to protect, unlock and optimize data’s value. Since 2008, Kendal has operated a SQL Server focused blog at http://www.kendalvandyke.com/.

Microsoft acknowledged Kendal for his support and outstanding contributions to the SQL Server community by awarding him Microsoft MVP (2011-15). Learn more about Kendal Van Dyke https://upsearch.com/kendal-van-dyke/.

SQL Server Health Check Series

This blog series will help you decide if UpSearch’s <span style=”color: #0000ff;”><a style=”color: #0000ff;” href=”https://upsearch.com/microsoft-sql-server-health-check/” target=”_blank”>SQL Server Health Check</a></span> is right for your organization. Follow the links below to learn how you can use our assessment to identify and resolve SQL Server problems.


<ol>
<li><span style=”color: #0000ff;”><a style=”color: #0000ff;” href=”https://upsearch.com/sql-server-health-check-introduction/” target=”_blank”>SQL Server Health Check Introduction</a></span></li>
<li><span style=”color: #0000ff;”><a style=”color: #0000ff;” href=”https://upsearch.com/sql-server-health-check-benefits/” target=”_blank”>SQL Server Health Check Benefits</a></span></li>
<li><span style=”color: #0000ff;”><a style=”color: #0000ff;” href=”https://upsearch.com/sql-server-health-check-step-1-collect-metrics/” target=”_blank”>SQL Server Health Check Process – Step 1</a></span></li>
<li><span style=”color: #0000ff;”><a style=”color: #0000ff;” href=”https://upsearch.com/sql-server-health-check-step-2-analyze-results/” target=”_blank”>SQL Server Health Check Process – Step 2</a></span></li>
<li><span style=”color: #0000ff;”><a style=”color: #0000ff;” href=”https://upsearch.com/sql-server-health-check-step-3-report-findings/” target=”_blank”>SQL Server Health Check Process – Step 3</a></span></li>

</ol>

About UpSearch

up-social-round

UpSearch is a company of data management and analytics experts who enable digital maturity with Microsoft’s technologies. Its mission is to enable every leader to unlock data’s full potential. UpSearch provides full lifecycle support for SQL Server, SQL Server in Azure (IaaS), Azure SQL DB (PaaS), Azure SQL DW (PaaS), Analytics Platform System (APS), and Power BI.

SQL Server Replication Gotcha – Blank XML


SQL Server Replication Gotcha - Blank XMLOriginally published on KendalVanDyke.com.

Here is another SQL Server Replication Gotcha – Blank XML.  Transactional replication in SQL Server 2005\2008 can handle the XML datatype just fine with few exceptions – one in particular being when the XML value is blank. I’ll save the argument about whether or not a blank (or empty string if you prefer) value is well formed XML for another day because the point is that SQL Server allows it. Consider the following table:

CREATE TABLE [dbo].[XMLReplTest]
    (
      [XMLReplTestID] [int] IDENTITY(1, 1) NOT FOR REPLICATION
                            NOT NULL ,
      [SomeXML]  NOT NULL ,
      CONSTRAINT [PK_XMLReplTest] PRIMARY KEY CLUSTERED
        ( [XMLReplTestID] ASC ) ON [PRIMARY]
    )
ON  [PRIMARY]
GO

Execute the following statement and you’ll see that SQL Server handles it just fine:

INSERT  INTO dbo.XMLReplTest
        ( SomeXML )
VALUES  ( '' )

Now let’s add this table to a transactional replication publication:

-- Adding the transactional publication
EXEC sp_addpublication @publication = N'XML Replication Test',
    @description = N'Sample publication to demonstrate blank XML gotcha',
    @sync_method = N'concurrent', @retention = 0, @allow_push = N'true',
    @allow_pull = N'true', @allow_anonymous = N'false',
    @enabled_for_internet = N'false', @snapshot_in_defaultfolder = N'true',
    @compress_snapshot = N'false', @ftp_port = 21, @ftp_login = N'anonymous',
    @allow_subscription_copy = N'false', @add_to_active_directory = N'false',
    @repl_freq = N'continuous', @status = N'active',
    @independent_agent = N'true', @immediate_sync = N'false',
    @allow_sync_tran = N'false', @autogen_sync_procs = N'false',
    @allow_queued_tran = N'false', @allow_dts = N'false', @replicate_ddl = 1,
    @allow_initialize_from_backup = N'false', @enabled_for_p2p = N'false',
    @enabled_for_het_sub = N'false'
GO
EXEC sp_addpublication_snapshot @publication = N'XML Replication Test',
    @frequency_type = 1, @frequency_interval = 0,
    @frequency_relative_interval = 0, @frequency_recurrence_factor = 0,
    @frequency_subday = 0, @frequency_subday_interval = 0,
    @active_start_time_of_day = 0, @active_end_time_of_day = 235959,
    @active_start_date = 0, @active_end_date = 0, @job_login = NULL,
    @job_password = NULL, @publisher_security_mode = 1
GO 

-- Adding the transactional articles
EXEC sp_addarticle @publication = N'XML Replication Test',
    @article = N'XMLReplTest', @source_owner = N'dbo',
    @source_object = N'XMLReplTest', @type = N'logbased', @description = N'',
    @creation_script = N'', @pre_creation_cmd = N'drop',
    @schema_option = 0x00000000080350DF,
    @identityrangemanagementoption = N'manual',
    @destination_table = N'XMLReplTest', @destination_owner = N'dbo',
    @status = 8, @vertical_partition = N'false',
    @ins_cmd = N'CALL [dbo].[sp_MSins_dboXMLReplTest]',
    @del_cmd = N'CALL [dbo].[sp_MSdel_dboXMLReplTest]',
    @upd_cmd = N'SCALL [dbo].[sp_MSupd_dboXMLReplTest]'
GO

Assume we’ve created the publication, added a subscriber, taken & applied the snapshot, and we’re ready to start changing data. Let’s throw a monkey wrench into the works by executing the insert statement with the blank XML again and watch what happens to the log reader agent:

Log Reader Agent Error

That’s not a very nice error (or resolution)! I’ve been able to reproduce this behavior in SQL 2005 & 2008 but I have not tried it in 2008 R2. I’ve entered a Connect bug report so hopefully this is fixed in a forthcoming cumulative update. In the meantime there is a simple workaround – add a check constraint. Since we’re working with the SQL Server replication blank XML datatype the only option for checking length with a scalar function is DATALENGTH. The DATALENGTH for a blank xml value is 5 so we want to check that any inserted or updated value is greater than 5:

ALTER TABLE dbo.XMLReplTest ADD CONSTRAINT
   CK_XMLReplTest_SomeXML CHECK (DATALENGTH(SomeXML) > 5)
GO

If you are affected by this behavior please consider taking a moment to go vote for it on Connect.

 

About the Author

Microsoft SQL Server MVP & Principal Consultant

Kendal Van Dyke

UpSearch Alum Kendal Van Dyke is a database strategist, community advocate, public speaker and blogger. He is passionate about helping leaders use Microsoft's SQL Server to solve complex problems that protect, unlock and optimize data's value.

Since 1999, Kendal has specialized in SQL Server database management solutions and provided IT strategy consulting. Kendal excels at disaster recovery, high availability planning/implementation and debugging/troubleshooting mission critical SQL Server environments.

Kendal Van Dyke served the SQL Server community as Founder and President of MagicPass, the Orlando, FL based chapter of the Professional Association for SQL Server (PASS). In 2012, Kendal served as a member of the PASS Board of Directors.

Kendal remains active in the SQL Server community as a speaker and blogger. He teaches SQL Server enthusiast and technology leaders how to protect, unlock and optimize data’s value. Since 2008, Kendal has operated a SQL Server focused blog at http://www.kendalvandyke.com/.

Microsoft acknowledged Kendal for his support and outstanding contributions to the SQL Server community by awarding him Microsoft MVP (2011-15). Learn more about Kendal Van Dyke https://upsearch.com/kendal-van-dyke/.

SQL Server Health Check Series

This blog series will help you decide if UpSearch’s <span style=”color: #0000ff;”><a style=”color: #0000ff;” href=”https://upsearch.com/microsoft-sql-server-health-check/” target=”_blank”>SQL Server Health Check</a></span> is right for your organization. Follow the links below to learn how you can use our assessment to identify and resolve SQL Server problems.


<ol>
<li><span style=”color: #0000ff;”><a style=”color: #0000ff;” href=”https://upsearch.com/sql-server-health-check-introduction/” target=”_blank”>SQL Server Health Check Introduction</a></span></li>
<li><span style=”color: #0000ff;”><a style=”color: #0000ff;” href=”https://upsearch.com/sql-server-health-check-benefits/” target=”_blank”>SQL Server Health Check Benefits</a></span></li>
<li><span style=”color: #0000ff;”><a style=”color: #0000ff;” href=”https://upsearch.com/sql-server-health-check-step-1-collect-metrics/” target=”_blank”>SQL Server Health Check Process – Step 1</a></span></li>
<li><span style=”color: #0000ff;”><a style=”color: #0000ff;” href=”https://upsearch.com/sql-server-health-check-step-2-analyze-results/” target=”_blank”>SQL Server Health Check Process – Step 2</a></span></li>
<li><span style=”color: #0000ff;”><a style=”color: #0000ff;” href=”https://upsearch.com/sql-server-health-check-step-3-report-findings/” target=”_blank”>SQL Server Health Check Process – Step 3</a></span></li>

</ol>

About UpSearch

up-social-round

UpSearch is a company of data management and analytics experts who enable digital maturity with Microsoft’s technologies. Its mission is to enable every leader to unlock data’s full potential. UpSearch provides full lifecycle support for SQL Server, SQL Server in Azure (IaaS), Azure SQL DB (PaaS), Azure SQL DW (PaaS), Analytics Platform System (APS), and Power BI.

Launch SQL Server Replication Monitor Without SSMS

Launch SQL Server Replication Monitor Without SSMSOriginally published on KendalVanDyke.com.

I manage a lot of replication publications\subscriptions and when I get a latency or agent failure alert it always bugs me that I have to go through 5 steps to launch Replication Monitor: launch SSMS, go to my server in object explorer, expand the treeview, right click on the Replication node, and choose the menu option to launch Replication Monitor. To make things easier I did what I think Microsoft should have done in the first place and created a shortcut to the Replication Monitor executable in my start menu and on my desktop.

To create a shortcut for yourself open up Windows Explorer and navigate to C:\Program Files\Microsoft SQL Server\100\Tools\Binn if you’re running SSMS 2008 or C:\Program Files\Microsoft SQL Server\90\Tools\Binn if you’re running SSMS 2005. Right click on sqlmonitor.exe and choose Send To > Desktop (Create Shortcut). Now you’ve got a shortcut on your desktop that will launch SQL Server replication monitor without SSMS with a simple double click! (You’ll probably also want to rename the shortcut to something like “Replication Monitor”)

Unfortunately the default icon doesn’t look great in anything bigger than 16×16 so I replaced it with a really nice (and free!) icon from iconspedia.com that looks much better:

Activity-monitor-48 Happy monitoring!

Visit: Activity Monitor Icon on iconpedia.com

 

About the Author

Microsoft SQL Server MVP & Principal Consultant

Kendal Van Dyke

UpSearch Alum Kendal Van Dyke is a database strategist, community advocate, public speaker and blogger. He is passionate about helping leaders use Microsoft's SQL Server to solve complex problems that protect, unlock and optimize data's value.

Since 1999, Kendal has specialized in SQL Server database management solutions and provided IT strategy consulting. Kendal excels at disaster recovery, high availability planning/implementation and debugging/troubleshooting mission critical SQL Server environments.

Kendal Van Dyke served the SQL Server community as Founder and President of MagicPass, the Orlando, FL based chapter of the Professional Association for SQL Server (PASS). In 2012, Kendal served as a member of the PASS Board of Directors.

Kendal remains active in the SQL Server community as a speaker and blogger. He teaches SQL Server enthusiast and technology leaders how to protect, unlock and optimize data’s value. Since 2008, Kendal has operated a SQL Server focused blog at http://www.kendalvandyke.com/.

Microsoft acknowledged Kendal for his support and outstanding contributions to the SQL Server community by awarding him Microsoft MVP (2011-15). Learn more about Kendal Van Dyke https://upsearch.com/kendal-van-dyke/.

SQL Server Health Check Series

This blog series will help you decide if UpSearch’s <span style=”color: #0000ff;”><a style=”color: #0000ff;” href=”https://upsearch.com/microsoft-sql-server-health-check/” target=”_blank”>SQL Server Health Check</a></span> is right for your organization. Follow the links below to learn how you can use our assessment to identify and resolve SQL Server problems.


<ol>
<li><span style=”color: #0000ff;”><a style=”color: #0000ff;” href=”https://upsearch.com/sql-server-health-check-introduction/” target=”_blank”>SQL Server Health Check Introduction</a></span></li>
<li><span style=”color: #0000ff;”><a style=”color: #0000ff;” href=”https://upsearch.com/sql-server-health-check-benefits/” target=”_blank”>SQL Server Health Check Benefits</a></span></li>
<li><span style=”color: #0000ff;”><a style=”color: #0000ff;” href=”https://upsearch.com/sql-server-health-check-step-1-collect-metrics/” target=”_blank”>SQL Server Health Check Process – Step 1</a></span></li>
<li><span style=”color: #0000ff;”><a style=”color: #0000ff;” href=”https://upsearch.com/sql-server-health-check-step-2-analyze-results/” target=”_blank”>SQL Server Health Check Process – Step 2</a></span></li>
<li><span style=”color: #0000ff;”><a style=”color: #0000ff;” href=”https://upsearch.com/sql-server-health-check-step-3-report-findings/” target=”_blank”>SQL Server Health Check Process – Step 3</a></span></li>

</ol>

About UpSearch

up-social-round

UpSearch is a company of data management and analytics experts who enable digital maturity with Microsoft’s technologies. Its mission is to enable every leader to unlock data’s full potential. UpSearch provides full lifecycle support for SQL Server, SQL Server in Azure (IaaS), Azure SQL DB (PaaS), Azure SQL DW (PaaS), Analytics Platform System (APS), and Power BI.