Nebraska SQL from @DBA

Friday, December 11, 2020

Toolbox - When Intellisense Doesn't See Your New Object

I was just working on a new SQL job, and part of creating the job was adding a few new tables to our DBA maintenance database to hold data for the job. I created my monitoring queries, and then created new tables to hold that data

One tip - use SELECT...INTO as an easy way to create these types of tables - create your query and then add a one-time INTO clause to create the needed object with all of the appropriate column names, etc.

https://i.redd.it/1wk7ki3wtet21.jpg

SELECT DISTINCT SERVERPROPERTY('ServerName') as Instance_Name

, volume_mount_point as Mount_Point

, cast(available_bytes/1024.0/1024.0/1024.0 as decimal(10,2)) as Available_GB

, cast(total_bytes/1024.0/1024.0/1024.0 as decimal(10,2)) as Total_GB

, cast((total_bytes-available_bytes)/1024.0/1024.0/1024.0 as decimal(10,2)) as Used_GB

, cast(100.0*available_bytes/total_bytes as decimal(5,2)) as Percent_Free

, GETDATE() as Date_Stamp

INTO Volume_Disk_Space_Info

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)

order by volume_mount_point

I thought at this point that everything was set, until I tried to write my next statement...

The dreaded Red Squiggle of doom!

I tried to use an alias to see if Intellisense would detect that - no luck.

Some Google-Fu brought me to the answer on StackOverflow - there is an Intellisense cache that sometimes needs to be refreshed.

The easiest way to refresh the cache is simply a CTRL-SHIFT-R, but there is also a menu selection in SSMS to perform the refresh:

Edit>>Intellisense>>Refresh Local Cache

In my case, once I performed the CTRL-SHIFT-R, the red squiggles disappeared!

https://memegenerator.net/img/instances/61065657/you-see-its-magic.jpg

Hope this helps!

Tuesday, December 1, 2020

Would You Pass the SQL Server Certifications Please? What Do You Mean We're Out?

I have held various certifications through my DBA career, from CompTIA A+ certification back when I worked help desk (I'm old) through the various MCxx that Microsoft has offered over the years (although I never went for Microsoft Certified Master (MCM), which I still regret).

I have definitely gotten some mileage out of my certs over the years, getting an interview or an offer not just because I was certified, but rather because I had comparable job experience to someone else *and* I was certified, nudging me past the other candidate.

I am currently an MCSA: SQL 2016 Database Administration and an MCSE: Data Management and Analytics, which is pretty much the top of SQL Server certifications currently available.

I also work for a company that is a Microsoft partner (and have previously worked for other Microsoft partners) and part of the requirements to become (and stay) a Microsoft partner is maintaining a certain number of employees certified at certain levels of certification dependent on your partnership level.

I completed the MCSE back in 2019, and my company is starting to have a new re-focus on certifications (a pivot, so to speak - I hate that term but it is accurate), so I went out to look at what my options were. We have two SQL Server versions past SQL Server 2016 at this point, so there must be something else right?

On top of that, the MCSA and MCSE certs I currently have are marked to expire *next* month (January 2021 - seriously, check it out HERE)...so there *MUST* be something else right - something to replace it with or to upgrade to?

I went to check the official Microsoft certifications site (https://docs.microsoft.com/en-us/learn/certifications/browse/?products=sql-server&resource_type=certification) and found that the only SQL Server-relevant certification beyond the MCSE: Data Management and Analytics is the relatively new "Microsoft Certified: Azure Database Administrator Associate" certification (https://docs.microsoft.com/en-us/learn/certifications/azure-database-administrator-associate).

The official description of this certification is as follows:

The Azure Database Administrator implements and manages the operational aspects of cloud-native and hybrid data platform solutions built with Microsoft SQL Server and Microsoft Azure Data Services. The Azure Database Administrator uses a variety of methods and tools to perform day-to-day operations, including applying knowledge of using T-SQL for administrative management purposes.

Cloud...Cloud, Cloud...Cloud...(SQL)...Cloud, Cloud, Cloud...by the way, SQL.

Microsoft has been driving toward the cloud for a very long time - everything is "Cloud First" (developed in Azure before being retrofit into on-premises products), and the company definitely tries to steer as much into the cloud as it can.

I realize this is Microsoft's reality, and I have had some useful experiences using the cloud for Azure VM's and Azure SQL Database over the years...but...

There is still an awful lot of the world running on physical machines - either directly or via a certain virtualization platform that starts with VM and rhymes with everywhere.

As such, I can't believe Microsoft has bailed on actual SQL Server certifications...but it sure looks that way. Maybe something shiny and new will come out of this; maybe there will be a new better, stronger, faster SQL Server certification in the near future - but the current lack of open discussion doesn't inspire hope.

Looking at the Azure Database Administrator Associate certification, it requires a single exam (DP-300 https://docs.microsoft.com/en-us/learn/certifications/exams/dp-300) and is apparently "Associate" level. Since the styling of certs is apparently changing (after all it isn't the MCxx Azure Database Administrator) I went to look at what Associate meant.

Apparently there are Fundamental, Associate, and Expert level certifications in the new role-based certification setup, and there are currently only Expert-level certs for a handful of technologies, most of them Office and 365-related technologies.

This means that for most system administrators - database and otherwise - there is nowhere to go beyond the "Associate" level - you can dabble in different technologies, but no way to be certified as an "Expert" by Microsoft in SQL Server, cloud or otherwise. (The one exception I could find for any sysadmins is the "Microsoft Certified: Azure Solutions Architect Expert" certification, which is all-around design and implement in Azure at a much broader level.)

After reviewing all of this, I am already preparing for the Azure Database Administrator Associate certification via the DP-300 exam, and I am considering other options for broadening my experience, including Azure administrator certs and AWS administrator certs. I will likely focus on Azure since my current role has more Azure exposure than AWS (although maybe that is a reason to go towards AWS and broaden my field...hmm...)

If anything changes in the SQL Server cert world - some cool new "OMG we forgot we don't have a new SQL Server certification - here you go" announcement - I will let you know.

Friday, October 30, 2020

Error: 8623 - The query processor ran out of internal resources and could not produce a query plan

Unfortunately a common error in many of our client environments is this:

Error: 8623, Severity: 16, State: 1.

The query processor ran out of internal resources and could not produce a query plan. This is a rare event and only expected for extremely complex queries or queries that reference a very large number of tables or partitions. Please simplify the query. If you believe you have received this message in error, contact Customer Support Services for more information.

There are many potential causes for this, and the text of this particular error is very well-written because the primary cause is exactly what is listed - a complex query.

https://hbr.org/resources/images/article_assets/2018/05/may18_9_170094377.jpg

The gotcha of course is finding the complex query, especially if it only occurs intermittently or during varying times of the day.

My go-to tool for this and other similar situations is our old friend Extended Events.

One of the keys with Extended Events is to only trap the needed information - only the relevant events, and only the relevant fields for those particular events.

Here is the code for a session to capture 8623 events:

CREATE EVENT SESSION [Error8623] ON SERVER

ADD EVENT sqlserver.error_reported(
ACTION(package0.collect_system_time
, sqlserver.client_app_name
, sqlserver.client_hostname
, sqlserver.database_id
, sqlserver.database_name
, sqlserver.server_instance_name
, sqlserver.server_principal_name
, sqlserver.sql_text
, sqlserver.username)
WHERE ([error_number]=(8623)))
ADD TARGET package0.event_file(SET filename=N'Error8623'),
ADD TARGET package0.ring_buffer
WITH (MAX_MEMORY=4096 KB
, EVENT_RETENTION_MODE=ALLOW_SINGLE_EVENT_LOSS
, MAX_DISPATCH_LATENCY=30 SECONDS
, MAX_EVENT_SIZE=0 KB
, MEMORY_PARTITION_MODE=NONE
, TRACK_CAUSALITY=OFF
, STARTUP_STATE=ON)
GO

This will collect the relevant info but *only* about error 8623's. Because there is no path built into the event_file target, it will by default write to the SQL Server error log path. As you can see we are also not collecting a lot of different data fields - just the minimum we need to run down the culprit and where it may be coming from.

My preferred method to access data like this is to query the event file via TSQL - a query for this particular file would look like this:

SELECT
n.value ('(action[@name="server_instance_name"]/value)[1]','nvarchar(500)') AS [server_instance_name]
, n.value ('(action[@name="collect_system_time"]/value)[1]', 'datetime') AS [collect_system_time]
, n.value ('(data[@name="error_number"]/value)[1]', 'int') AS [error_number]
, n.value ('(action[@name="database_id"]/value)[1]', 'int') AS [database_id]
, n.value ('(action[@name="database_name"]/value)[1]', 'nvarchar(500)') AS [database_name]
, n.value ('(action[@name="client_app_name"]/value)[1]','nvarchar(500)') AS [client_app_name]
, n.value ('(action[@name="server_principal_name"]/value)[1]','nvarchar(500)') AS [server_principal_name]
, n.value ('(action[@name="client_hostname"]/value)[1]','nvarchar(500)') AS [client_hostname]
, n.value ('(action[@name="sql_text"]/value)[1]','nvarchar(max)') AS [sql_text]
FROM
(
SELECT CAST(event_data AS XML) AS event_data
FROM sys.fn_xe_file_target_read_file(
N'Error8623*.xel'
, NULL
, NULL
, NULL)
) AS Event_Data_Table
CROSS APPLY event_data.nodes('event') AS q(n)

Again by not providing an explicit path to the XEL file, the fn_xe_file_target_read_file function looks in the default SQL Server error log path for the file(s) - if you *do* store your event_file output somewhere else, you need to include that explicit path!

One other important note relates to the sql_text field - you can see in the script I have it cast as an nvarchar(max) which is especially important here because we are going to be pulling back complex queries, which almost always equates to *long* queries - often even a 4000 or 8000 character field will not hold these queries without chopping them off!

https://pixabay.com/photos/man-breaking-technique-pavers-elbow-80638/

Also note that this query returns the collect_system_time value in its default format, which is UTC. To convert that to the local server time, you need to wrap it in a couple of functions as described in a Stack Overflow post at https://stackoverflow.com/questions/8038744/convert-datetime-column-from-utc-to-local-time-in-select-statement/57503319:

Instead of:

n.value ('(action[@name="collect_system_time"]/value)[1]', 'datetime') AS [collect_system_time]

Wrap it like this:

DATEADD(mi, DATEDIFF(mi, GETUTCDATE(), GETDATE()),n.value ('(action[@name="collect_system_time"]/value)[1]', 'datetime')) AS [collect_system_time in local time]

Hopefully you will find this useful, and this is truly meaningful for any error you are trying to run down - simply change the filter in the XEvents session definition from 8623 to whatever error you are looking for (and probably change the name of the event_file), and voila - you now have a session to run down the source queries for that new error, without any changes to the data return query.

At this point you may wonder what a "complex" query looks like - here is one sample I have found recently:

SELECT Item_ID, PA_Rank, Pj_Hours, Pj_Cnt, Bio_Rank FROM ( SELECT SM.Staff_ID AS Item_ID, 0 AS PA_Rank, 0 AS Pj_Hours, 0 AS Pj_Cnt, 0 AS Bio_Rank FROM Staff_Main SM WITH (NOLOCK)) TBL INNER JOIN Staff_Main SM WITH (NOLOCK) ON SM.Staff_ID = TBL.Item_ID INNER JOIN Office_Main OM WITH (NOLOCK) ON OM.Office_ID = SM.Office_Topic_ID WHERE SM.Staff_ID > -40 AND SM.Is_Active = 1 AND (SM.Staff_Position_ID IN (106)) AND (SM.Office_Topic_ID IN (SELECT * FROM dbo.List_SubTopics(2005514))) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 1013) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 1014) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 1032) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 9000000002) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 8597) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 1116) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 1000) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 1001) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 1080) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 9000000010) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 8589) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 8590) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 1081) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 8588) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 1041) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 1117) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 1003) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 8605) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 1004) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 1005) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 8598) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 1024) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 9000000009) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 1045) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 1007) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 1008) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 1009) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 1010) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 1127) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 1119) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 1042) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 1120) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 1012) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 1101) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 8599) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 9000000003) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 1083) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 8592) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 1048) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 1015) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 1043) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 1121) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 1038) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 1039) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 1016) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 1046) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 9000000012) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 1017) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 1018) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 1019) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 1020) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 1122) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 8603) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 1118) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 1123) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 1021) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 8602) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 1022) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 1124) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 1125) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 9000000007) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 1023) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 1126) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 9000000004) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 1103) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 8604) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 1025) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 8591) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 1128) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 1026) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 1107) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 1082) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 1027) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 1028) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 1044) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 1047) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 1029) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 1030) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 8606) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 9000000008) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 9000000005) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 1129) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 1031) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 9000000011) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 1130) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 8601) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 9000000006) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 1033) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 8600) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 1131) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 1034) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 8585) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 1040) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 1035) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 1132) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 1133) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 8586) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 1036) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 1037) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 8594) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 8587) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 1134) AND EXISTS (SELECT Nav_Staff_ID FROM HR_Emp_Language1 SL WITH (NOLOCK) WHERE SL.Nav_Staff_ID = SM.Staff_ID AND SL.Language_Rec_ID = 8593) AND EXISTS (SELECT TSA.Topic_Staff_ID FROM Topic_Staff AS TSA WITH (NOLOCK) WHERE TSA.Staff_ID = SM.Staff_ID AND TSA.Contact_Role_Ref_ID IN (655)) AND SM.Status = 'Published' ORDER BY PA_Rank DESC, Pj_Hours DESC, Bio_Rank DESC, SM.LastName, SM.FirstName

https://www.mememaker.net/api/bucket?path=static/img/memes/full/2019/May/15/1/say-what-440.png

Complex enough for you? Maybe you like this one:

(@dateFilter int, @staffID nvarchar(5))SELECT [PM].[Project_ID], [PM].[TB_DATE_OPENED], [PM].[Short_Desc], [PM].[Project_Type_Code], [PM].[Case_Number], [PS].[Responsibility_Desc] FROM [Project_Main] [PM] WITH (NOLOCK) INNER JOIN [Project_Staff] [PS] WITH (NOLOCK) ON [PS].[Project_ID] = [PM].[Project_ID] WHERE [PM].[Status] LIKE 'Published%' AND [PM].[Status] NOT LIKE 'withdrawn' AND [PM].[TB_DATE_OPENED] > (getDate() - @dateFilter) AND [Short_Desc] IS NOT NULL AND [Short_Desc] NOT LIKE 'TB Feed' AND [Short_Desc] NOT LIKE '%UNSOLD PROPOSAL%' AND ([Short_Desc] NOT LIKE '%follow-on%' or datalength([Short_Desc])>50) AND [Short_Desc] NOT LIKE 'confidential%' AND [PS].[Staff_ID]=@staffID AND [Project_Type_Code] = 'c' AND PM.Project_ID IN ('65011625', '65025688', '65032850', '65042668', '65052747', '65058320', '65130746', '65143481', '65144809', '65147726', '65153299', '65161789', '65079545', '65083790', '65088035', '65110849', '65119339', '65123584', '4000218', '65018549', '65027039', '65027254', '65034201', '65052724', '65150620', '65100793', '65110826', '65126478', '65127806', '65140587', '65141915', '65054052', '65058343', '65082485', '65086684', '65093846', '65095174', '65027062', '65027231', '65032804', '65042714', '65047128', '65055449', '65153345', '65157590', '65159087', '65163332', '65120713', '65129372', '65130700', '65137693', '65139021', '65143435', '65096740', '65098068', '65103733', '65107978', '65109475', '65113720', '65071101', '65072429', '65078171', '65079760', '65081088', '65093654', '65027208', '65031499', '65054098', '65055426', '65058512', '65069750', '65157736', '65163355', '65110657', '65119362', '65126432', '65142084', '65143412', '65149031', '65075369', '65081111', '65082439', '65088058', '65093677', '65098091', '65018695', '65041509', '65052578', '65053906', '65059740', '65085210', '65117919', '65129326', '65149223', '65151802', '65086538', '65093700', '65095028', '65097945', '65105107', '65117842', '65005860', '65008854', '65042814', '65048648', '65049976', '65073780', '65129349', '65137716', '65139167', '65140710', '65149200', '65161981', '65075446', '65098045', '65105207', '65106412', '65119193', '65129011', '65017244', '65027400', '65039966', '65051204', '65051373', '65052532', '65159256', '65160338', '65160584', '65161835', '65074095', '65093992', '65095074', '65129034', '65140687', '65150597', '65007234', '65007480', '65018718', '65051227', '65052555', '65073949', '65140418', '65150451', '65160607', '65161689', '65106581', '65117819', '65127975', '65129057', '65129303', '65139213', '65074072', '65083982', '65095097', '65095220', '65095343', '65096425', '65035429', '65043006', '65081211', '65083713', '65084128', '65085041', '65145147', '65146475', '65150720', '65151633', '65085456', '65092618', '65108270', '65133740', '65135068', '65138898', '65025588', '65026916', '65035867', '65042568', '65047228', '65051519', '65154942', '65157444', '65112492', '65118111', '65129472', '65136634', '65143581', '65146083', '65052847', '65055349', '65087022', '65102459', '65104961', '65106289', '65017321', '65032973', '65042960', '65048210', '65068522', '65069850', '65127537', '65143189', '65147849', '65153422', '65154504', '65156508', '65082339', '65086830', '65092572', '65099319', '65102651', '65103979', '65048356', '65048602', '65053975', '65055303', '65066664', '65068668', '65142207', '65152240', '65160146', '65086976', '65100501', '65123899', '65131928', '65135260', '65136588', '65010543', '65014373', '65036013', '65044088', '65045754', '65056823', '65122087', '65136150', '65143727', '65146229', '65155134', '65158626', '65058151', '65066564', '65088204', '65088542', '65089870', '65092034', '65000364', '65003358', '65013145', '65044480', '65046644', '65055595', '65146329', '65101875', '65113574', '65122187', '65132220', '65136050', '65145001', '65057261', '65059425', '65066956', '65068622', '65070786', '65088104', '65002674', '65014327', '65015409', '65024314', '65045708', '65066856', '65133694', '65144855', '65145101', '65145937', '65146183', '65147265', '65102313', '65103395', '65110726', '65122379', '65132366', '65133448', '65067938', '65068184', '65069266', '65079837', '65080919', '65099903', '65025542', '65033165', '65034247', '65035575', '65036657', '65045854', '65146037', '65154988', '65102167', '65103249', '65132512', '65133594', '65143627', '65144709', '65067002', '65067248', '65078363', '65079691', '65099757', '65101921', '65046690', '65048018', '65055887', '65058051', '65058297', '65059379', '12000331', '65000633', '65013368', '65026103', '65042253', '65046498', '65128742', '65131161', '65140979', '65144394', '65151556', '65070640', '65090039', '65102774', '65118426', '65118924', '65123169', '65012063', '65022379', '65048894', '65049392', '65054513', '65066372', '65137255', '65138798', '65148616', '65070165', '65081526', '65088473', '65097676', '65104623', '65121105', '65060776', '65084749', '65085748', '65089163', '65094736', '65104646', '65129618', '65129787', '65137447', '65143020', '65152340', '65035114', '65048725', '65055180', '65056385', '65067746', '65072037', '65149990', '65151035', '65154281', '65154404', '65157982', '65076451', '65097009', '65114112', '65121772', '65126063', '65130969', '65018280', '65039428', '65043750', '65045001', '65051742', '65071639', '65161045', '65161543', '65162794', '65128413', '65131490', '65139980', '65148808', '65152217', '65154381', '65092864', '65098858', '65111593', '65116176', '65120421', '65125496', '65077633', '65082708', '65084374', '65085625', '65087789', '65092787', '65017467', '65018180', '65040779', '65060255', '65081403', '65085725', '65135552', '65140003', '65149661', '65153030', '65159479', '65161520', '65092764', '65104248', '65106873', '65109037', '65114035', '65127062', '65006421', '65027646', '65032389', '65040802', '65050368', '65051450', '65150182', '65158174', '65161420', '65094161', '65097484', '65106312', '65114304', '65115386', '65141354', '65060278', '65071516', '65084082', '65084251', '65086415', '65087497', '65026464', '65050268', '65050391', '65053637', '65072990', '65081695', '65140295', '65141377', '65149369', '65159648', '65162894', '65082777', '65085064', '65118065', '65120106', '65120229', '65140172', '65032097', '65056156', '65056654', '65059986', '65060484', '65068891', '65162625', '65132827', '65133325', '65142230', '65145562', '65151135', '65158795', '65091705', '65097776', '65113843', '65122748', '65126578', '65129495', '65072721', '65079468', '65084543', '65085954', '65088373', '65088871', '65043527', '65049017', '65049515', '65058220', '65068997', '65076528', '65131261', '65154573', '65156731', '65158403', '65093969', '65094467', '65105828', '65113451', '65115609', '65124314', '65009246', '65017988', '65046375', '65049707', '65057530', '65070265', '65144102', '65152509', '65160169', '65103564', '65108639', '65119216', '65124122', '65130869', '65140856', '65073182', '65080252', '65080842', '65090245', '65090331', '65099150', '65047643', 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'65087557', '65118197', '65128679', '65137384', '65140378', '65018409', '65032721', '65051951', '65054115', '65073099', '65073348', '65149678', '65162167', '65097985', '65107972', '65117218', '65138858', '65139940', '65149183', '65073594', '65074676', '65083919', '65084414', '65085250', '65086083', '65007935', '65018263', '65040985', '65051018', '65053969', '65073199', '65074281', '65075363', '65084560', '65094347', '65095429', '65095970', '17000211', '65049913', '65052830', '65069146', '65070308', '65082545', '65141311', '65143398', '65145390', '65148971', '65155635', '65161706', '65095114', '65103770', '65119422', '65132821', '65135738', '65140481', '17000188', '65016428', '65032744', '65057550', '65066206', '65073866', '65140458', '65144251', '65153903', '65082522', '65086813', '65087477', '65103129', '65115154', '65139296', '65039714', '65071851', '65076093', '65095326', '65099405', '65100069', '65150016', '65153926', '65157009', '65158340', '65160332', '65134029', '65134693', '65139107', '65142685', '65144016', '65147763', '65115131', '65116385', '65118048', '65118377', '65125708', '65130783', '65018466', '65074078', '65090394', '65097341', '65100046', '65101755', '65157650', '65163933', '65143375', '65145748', '65152031', '65155400', '65155941', '65156986', '65109415', '65113116', '65137092', '65137633', '65139084', '65141334', '65002219', '65047663', '65049578', '65054327', '65067062', '65075552', '65108184', '65120919', '65122668', '65133488', '65142144', '65155300', '65082210', '65088951', '65098864', '65099356', '65099528', '65103435', '65016969', '65037158', '65045814', '65060421', '65068911', '65069077', '65144872', '65158317', '65158858', '65100879', '65101420', '65102084', '65112240', '65131347', '65143710', '65071782', '65075575')

Now *that's* an IN clause!

Please note that this is not a contest - DON'T write code that looks like this - ever!

https://www.mememaker.net/api/bucket?path=static/img/memes/full/2017/Feb/14/22/please-just-stop-dont-do-that.jpg

Hope this helps (and good to be back writing after some time!)