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Scan, Find & Understand Missing Indexes in your SQL Database

Posted by Sudarshan Narasimhan on June 17, 2016


This post is Part 4 of my series of posts on Index Maintenance for a DBA. So here goes.

Enough has been said & talked about regarding missing indexes in SQL Server. Before you read any further, it is very important to understand that “missing indexes” that your colleagues & friends talk about are really missing index “recommendations“. The keyword is the recommendations part. Take the information in this post as a whole and don’t go crazy creating every missing index recommended when you run the query given below. Refer to my earlier posts in the indexing series (duplicate, unused indexes) to know why it is a bad idea to go “index-crazy”. You need to carefully evaluate the benefits of having an index vs the cost of maintaining it.

Some Background

SQL Server provides exposes index recommendations via DMV’s (sys.dm_db_missing_index_detailssys.dm_db_missing_index_groups and sys.dm_db_missing_index_group_stats). These dynamic views contain information collected by the SQL Server Query optimizer engine as your DB workloads and queries execute on the database engine. Since this is “dynamic” information, it is only as relevant as your last SQL Service restart. So this is something that needs to get into your blood as a DBA to check for periodically and is NOT a one-off activity.

 

Things to Consider & Understand before implementing Missing Index Recommendations

Your boss asks you if this index thingy will improve the performance of the database. The favourite DBA response “It Depends”  😀

MrBeanItDepends

 

 

 

 

 

 

 

 

 

 

Well, it really does! I’ll explain why… Like any other recommendations you need to take into account additional information along with this data to come to a conclusion. Consider for example the following:

  1. Has your DB workload changed since the time you collected the missing index recommendations? (i.e. Has there been an application release or DB schema upgrade since)
  2. Are there similar existing indexes on the table where it’s recommending you create another index? (Maybe you just need to add a few additional columns to the existing index as included columns to “cover” it…)
  3. Is the query batch or workload very frequently run, enough that the impact is very high if you create this index? (Refer to the last_user_seek and last_user_scan columns to find out when a particular query last used these columns for seek/scan operations)
  4. Do you have enough space in the DB/disk to afford yet another index? Especially important, if it’s a large table. (DBA 101 question, I know!)
  5. If you create this index and it’s rarely used, you are increase the maintenance overhead and also slowly down WRITE operations on the table.

 

IT DEPENDS, really it does!

 

Missing Index – Improvement Measure Calculation Logic

To help answer some of these questions, I calculate an arbitrary number to determine the “usefulness” of a new index, called improvement measure. The higher this number, the more useful it is to create it. The improvement measure is calculated based on 4 factors

  1. Average cost of the user queries that could be reduced by the new index. This is the current cost of the query.
  2. Average impact on the query if this index were created. i.e. The query cost would on average drop by this percentage value.
  3. Number of Seek operations that this index could have been used by user queries.
  4. Number of Scan operations that this index could have been used by user queries.

 

Now that you understand what missing indexes are, factors to consider and the logic behind the recommendations, go ahead and run the below query on your databases. The output provides you the “CREATE INDEX” T-SQL statement that you can use to create the index, if you see fit after considering all factors mentioned so far. This saves you time having to write the T-SQL yourself. The CREATE INDEX statement will include the index key columns in order, suggest included columns where applicable.

 



Script – Find Missing Indexes Recommendations in SQL Server

USE [msdb]  /*Replace with your Database Name */
GO
SELECT TOP 50 
    GETDATE() AS [RunTime],
    DB_NAME(mid.database_id) AS [DBNAME], 
    OBJECT_NAME(mid.[object_id]) AS [ObjectName], mid.[object_id] AS [ObjectID],
    CONVERT (decimal (28,1), migs.avg_total_user_cost * migs.avg_user_impact * (migs.user_seeks + migs.user_scans)) AS [Improvement_Measure],
    'CREATE INDEX missing_index_' + CONVERT (varchar, mig.index_group_handle) + '_' + CONVERT (varchar, mid.index_handle) 
    + ' ON ' + mid.statement 
    + ' (' + ISNULL (mid.equality_columns,'') 
    + CASE WHEN mid.equality_columns IS NOT NULL AND mid.inequality_columns IS NOT NULL THEN ',' ELSE '' END + ISNULL (mid.inequality_columns, '')
    + ')' 
    + ISNULL (' INCLUDE (' + mid.included_columns + ')', '') AS [CREATE_INDEX_Statement],
    migs.user_seeks, migs.user_scans, migs.last_user_seek, migs.last_user_scan, migs.avg_total_user_cost, migs.avg_user_impact, migs.avg_system_impact,
    mig.index_group_handle, mid.index_handle
FROM sys.dm_db_missing_index_groups mig
    INNER JOIN sys.dm_db_missing_index_group_stats migs ON migs.group_handle = mig.index_group_handle
    INNER JOIN sys.dm_db_missing_index_details mid ON mig.index_handle = mid.index_handle
WHERE CONVERT (decimal (28,1), migs.avg_total_user_cost * migs.avg_user_impact * (migs.user_seeks + migs.user_scans)) > 10
    AND mid.database_id = DB_ID()
ORDER BY [Improvement_Measure] DESC
GO

 

Script Result
Here is a sample output from my test system showing all missing indexes recommended on the MSDB database.

MissingIndexes

 

 

 

Test, Test, Test!

Did I mention that you must test these index recommendations on your Test system? If you know your application workload/query, you must test to gauge the impact of having this index.

Keep in mind, your testing must not be to run just a single batch/query, as 95% of the time this will yield a positive result. But, you must include other sample workloads along with your specific query. Why? Because, indexes are structures on the table not specific to just your query. Other queries can use it too and SQL has to keep the index up to date when data changes happen to the table. Always test any index changes with as close to a real world production like workload as possible. You don’t want any surprises on Production now, do you?  🙂

Well SQL folks, this concludes my indexing series of posts for DBA’s. Leave your comments down below if you find this useful and would like more material on these lines.

 

-Sudarshan (TheSQLDude)

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Posted in DB Maintenance, Indexing, Performance, T-SQL | Tagged: , , , , , , | 1 Comment »

Seek & Evaluate Unused Indexes in your SQL database

Posted by Sudarshan Narasimhan on June 16, 2016


This post is Part 3 of my series of posts on Index Maintenance for a DBA. So here goes.

As a regular part of your DBA work, it is very important to keep evaluating the need for indexes in your database environment. Any DBA worth his salt, will always look to “maintain” the indexes by ensuring the fragmentation is kept low. Most of you probably have maintenance tasks/scripts to take care of this. An often under-looked aspect in index maintenance is to also consider whether some indexes are an over-kill a.k.a unnecessary and potentially drop them if it’s not really utilized. This is especially important when dealing with 3rd party vendor databases, where the DBA does not have full control on what comes in and what goes out in terms of index changes.

I like to think of the database as my “house” and take care of it the same way one would do to your own home. You always consider who/what comes in to your house. The same care needs to be applied to the databases you maintain. As gatekeepers to the database, even if you don’t have complete control on what comes in, it is good to be aware & have the stats handy so that you can work with your application teams or vendors, to keep the house tidy.

If you link this data back to my previous posts Part 1 – Seek & Destroy Duplicate Indexes in your SQL Database and Part 2 – Seek & Understand Top Indexes by Size in your SQL database , you will be on your way to hopefully free up some space and realize space cost and performance gains.

Here is a handy script that I use to:-

1) Lists the indexes on each table in the database, that are completely unused.

This scripts lists those indexes where not even a single Read operation has used these indexes. Keep in mind, write operations still need to update this index as data is being updated/inserted contributing to overall time of the Write operations. When no-one is using the index for Read it becomes a system overhead.

2) Lists the indexes on each table in the database, that are having more Writes compared to Reads

The maintenance cost of having these indexes from insert, update, or delete operations on the underlying table are more compared to the benefits for Read operations. These indexes needs to be investigated to see if they are still required. A cost benefit analysis on these indexes needs to be performed.
Note: I’m not advocating that you remove these indexes, but just that you carefully consider the benefits vs the cost, before making any decision.



Script #1 – TOTALLY UNUSED INDEXES

USE [DBNAME] /* Replace with your Database Name */
GO
--TOTALLY UN-USED INDEXES
SELECT DB_NAME(s.database_id) as [DB 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, i.is_unique,
    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],
    (partstats.used_page_count / 128.0) AS [IndexSizeinMB]
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 s.index_id = i.index_id
    AND s.database_id = DB_ID()
INNER JOIN sys.dm_db_partition_stats AS partstats
    ON i.object_id = partstats.object_id AND i.index_id = partstats.index_id
WHERE OBJECTPROPERTY(s.[object_id],'IsUserTable') = 1
    AND user_updates > (user_seeks + user_scans + user_lookups)
    AND (s.user_lookups=0 AND s.user_scans=0 AND s.user_seeks=0)
    AND i.index_id > 1
ORDER BY [Difference] DESC, [Total Writes] DESC, [Total Reads] ASC OPTION (RECOMPILE);
GO

Script #1 Result
Here is a sample output from my test system showing all unused indexes on the MSDB database.

UnusedIndexes

 

 

 

 

 

 



Script #2 – INDEXES WITH MORE WRITES THAN READS

USE [DBNAME] /* Replace with your Database Name */
GO
--INDEXES WITH WRITES > READS
SELECT DB_NAME(s.database_id) as [DB 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, i.is_unique,
    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],
    (partstats.used_page_count / 128.0) AS [IndexSizeinMB]
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 s.index_id = i.index_id
    AND s.database_id = DB_ID()
INNER JOIN sys.dm_db_partition_stats AS partstats
    ON i.object_id = partstats.object_id AND i.index_id = partstats.index_id
WHERE OBJECTPROPERTY(s.[object_id],'IsUserTable') = 1
    AND (s.user_lookups<>0 OR s.user_scans<>0 OR s.user_seeks<>0)
    AND s.user_updates > (s.user_seeks + s.user_scans + s.user_lookups)
    AND i.index_id > 1
ORDER BY [Difference] DESC, [Total Writes] DESC, [Total Reads] ASC OPTION (RECOMPILE);
GO

Script #2 Result
Here is a sample output from my test system showing all indexes having more Writes compared to Reads on the MSDB database.

WritesMoreThanReadsIndexes

 

 

 

 

 

Well, that’s all folks.

-Sudarshan (TheSQLDude)

Posted in DB Maintenance, Indexing, T-SQL | Tagged: , , , , , , | 1 Comment »

Seek & Understand Top Indexes by Size in your SQL database

Posted by Sudarshan Narasimhan on June 3, 2016


This post is Part 2 of my series of posts on Index Maintenance for a DBA. So here goes.

Often, when you are performing capacity planning or upgrades or working with 3rd party vendor on database schema upgrades, you need to look into the existing indexes on the database. One of the key things you need to consider is disk space. Aside from the actual “data” in the tables, indexes also occupy space depending on the type of index. Here is a handy script that I use to quickly understand how many indexes are present for each table and the size of each index, in any given SQL database.

If you link this data back to my post “Seek & Destroy Duplicate Indexes in your SQL Database“, you will be on your way to hopefully free up some space and realize space cost savings.

This query only reports on user objects (object_id>99) and filters out HEAP tables. There are some exceptions to the filter on user objects (like service broker tables, CDC tables etc) which will still be considered as “user objects” though it supports a system functionality.

USE [msdb]  /*Replace with your Database Name */
GO
SELECT 
    DB_NAME() DatabaseName,
    OBJECT_SCHEMA_NAME(i.OBJECT_ID) SchemaName,
    OBJECT_NAME(i.OBJECT_ID ) TableName,
    i.name IndexName,
    i.type_desc as [IndexType],
    i.is_primary_key as [PrimaryKeyIndex],
    i.is_unique as [UniqueIndex],
    i.is_disabled as [Disabled],
    SUM(s.used_page_count) / 128.0 IndexSizeinMB,
    CAST((SUM(s.used_page_count)/128.0)/1024.0 as decimal(10,6))  IndexSizeinGB
FROM sys.indexes AS i
INNER JOIN sys.dm_db_partition_stats AS S
    ON i.OBJECT_ID = S.OBJECT_ID AND I.index_id = S.index_id
WHERE i.object_id>99 and i.type_desc  'HEAP'
GROUP BY i.OBJECT_ID, i.name, s.used_page_count, i.type_desc, i.is_primary_key, i.is_unique, i.is_disabled
ORDER BY s.used_page_count DESC
GO

 

Script Result
Here is a sample output from my test system showing all the indexes on MSDB database.

Index Size

 

Stay tuned for more index related scripts in this series.

-Sudarshan (TheSQLDude)

Posted in DB Maintenance, Indexing, T-SQL | Tagged: , , , | 1 Comment »

Seek & Destroy Duplicate Indexes in your SQL Database

Posted by Sudarshan Narasimhan on May 20, 2016


This post is Part 1 of my series of upcomingposts on Index Maintenance for a DBA. So here goes.

There are all sorts of indexing tuning & optimizations that can be done on a SQL database. One of the no-brainer things a DBA must do is “seek & destroy” (pun intended) duplicate indexes. Duplicate indexes are indexes exactly similar in structure, including key columns and their base tables. These indexes serve no useful purpose and in fact contribute to slowness for WRITE database operations as the WRITER (INSERT/UPDATE/DELETE) must do more work to update the index as well as this directly contributes to the slowness of a write operation. If AlwaysON or other HA, then it has to do this on all the replicas as well, adding additional unnecessary network overhead.

You’d be surprised at the results. Given this script a run on any of your databases especially Vendor application databases. If you do see any duplicates, time to talk to your vendor or DB developer.

Here is query that I use to identify duplicate indexes. This query considers 2 or more indexes to be Exact Duplicates when all the key columns & included columns (if any) match another index on the same table.

USE [tempdb]  /* Change to your DB Name */
GO
DECLARE @i int=1, @count int=0, @tblname nvarchar(250), @indxname nvarchar(250), @cmd nvarchar(4000)
DECLARE @DuplicateIndexes TABLE(id int IDENTITY(1,1), table_name nvarchar(250), index_name nvarchar(250), dup_index_name nvarchar(250))
DECLARE @IndexInfo TABLE(id int IDENTITY(1,1), table_name nvarchar(250), index_name nvarchar(250), index_description nvarchar(250),index_keys nvarchar(250), included_columns nvarchar(250) null)

-- exact duplicates
;WITH indexcols AS
(
    select object_id as id, index_id as indid, name,
    (select case keyno when 0 then NULL else colid end as [data()]
    from sys.sysindexkeys as k
    where k.id = i.object_id
    and k.indid = i.index_id
    order by keyno, colid
    for xml path('')) as cols,
    (select case keyno when 0 then colid else NULL end as [data()]
    from sys.sysindexkeys as k
    where k.id = i.object_id
    and k.indid = i.index_id
    order by colid
    for xml path('')) as inc
    from sys.indexes as i
),
DuplicateIndexes AS
(
    SELECT
    object_schema_name(c1.id) + '.' + object_name(c1.id) as [TableName],
    c1.name as [IndexName],
    c2.name as [DuplicateIndexName]
    FROM indexcols as c1
    join indexcols as c2
    ON c1.id = c2.id
    and c1.indid < c2.indid
    and c1.cols = c2.cols
    and c1.inc = c2.inc
)
INSERT INTO @DuplicateIndexes
SELECT * FROM DuplicateIndexes

SELECT @count=count(*) FROM @DuplicateIndexes
WHILE (@i <= @count)
BEGIN
    SELECT @tblname = [table_name], @indxname = [index_name] FROM @DuplicateIndexes WHERE [id] = @i
    DECLARE @tmptbl TABLE (index_name nvarchar(250), index_description nvarchar(250),index_keys nvarchar(250))
    DELETE FROM @tmptbl
    SET @cmd = 'EXEC sp_helpindex ''' +@tblname+ ''''

    INSERT INTO @tmptbl (index_name, index_description, index_keys)
        EXEC (@cmd)

    INSERT INTO @IndexInfo (table_name, index_name, index_description, index_keys)
    SELECT @tblname, index_name, index_description, index_keys FROM @tmptbl

    DECLARE @incld_cols sysname
    SET @cmd = '
    SELECT @tmpstr=b.IncludedColumns
    FROM (
    SELECT LEFT(a.indx_cols_included, LEN(a.indx_cols_included)-1) as [IncludedColumns]
    FROM (
    SELECT STUFF (( SELECT C.Name + '','' AS [text()] 
    FROM sys.indexes I 
     INNER JOIN sys.index_columns IC 
      ON  I.object_id = IC.object_id AND I.index_id = IC.index_id 
     INNER JOIN sys.columns C 
      ON IC.object_id = C.object_id and IC.column_id = C.column_id 
    WHERE IC.object_id=object_id('''+@tblname+''') and I.name = '''+@indxname+''' and IC.is_included_column=1
    FOR XML PATH('''')
    ), 1, 0, '''') AS indx_cols_included) as a) as b'
    
    EXEC sp_executesql @cmd, N'@tmpstr sysname OUTPUT', @incld_cols OUTPUT
    UPDATE @IndexInfo SET included_columns = @incld_cols WHERE [id]=@i

SET @i = @i + 1
END

--DUPLICATE INDEX INFORMATION SUMMARY
SELECT DB_NAME() AS [DB Name], d.table_name as [TableName], d.index_name as [IndexName], d.dup_index_name as [DuplicateIndexName], i.index_keys as [IndexKeyColumns], i.included_columns as [IncludedColumns]
FROM @DuplicateIndexes d
JOIN @IndexInfo i
    ON d.table_name = i.table_name
    AND d.index_name = i.index_name
GO

 

Script Result
Here is a sample output from my test system where I’ve created 2 indexes having the same structure
DuplicateIndexes

 

 

 

Note: The original source script was from HERE. I’ve modified & added to this to include index key column information as well as included columns to present a more clear output on the duplicate indexes.

 

Stay tuned for more index related scripts in this series.

-Sudarshan (TheSQLDude)

Posted in DB Maintenance, Indexing, Query Optimization, T-SQL | 2 Comments »

Quick SQL Server Info – Script

Posted by Sudarshan Narasimhan on April 19, 2016


Here is a handy script that I used to quickly get high-level information about any SQL Server Instance. It provides basic information like machine name, number of CPU’s, memory, patch level, HA configuration and the user databases hosted on this instance.

/*SCRIPT START*/
DECLARE @cpu int, @memory decimal(2), @dbcount int, @dbs varchar(2000)
SELECT @cpu=cpu_count FROM sys.dm_os_sys_info
SELECT @memory= CONVERT(decimal(2),ROUND([total_physical_memory_kb]/1024.0/1024.0,1)) FROM [sys].[dm_os_sys_memory]
SELECT @dbcount=COUNT(*) FROM sys.databases where database_id>4
SELECT @dbs = (SELECT STUFF(
    (
    SELECT ', ' + DB.name
    FROM sys.databases AS DB
    WHERE DB.database_id>4
    FOR XML PATH('')), 1, 2, '') AS Databases)
SELECT 
@@SERVERNAME as [SQLServerName]
,SERVERPROPERTY('ComputerNamePhysicalNetBIOS') as [MachineName]
,[CPU] = @cpu
,[Memory (GB)] = @memory
,[Num.Databases] = @dbcount
,[Version] = 
    CASE WHEN CONVERT(varchar(50), SERVERPROPERTY('ProductVersion')) LIKE '9%' THEN 'SQL 2005'
        WHEN CONVERT(varchar(50), SERVERPROPERTY('ProductVersion')) LIKE '10.0%' THEN 'SQL 2008'
        WHEN CONVERT(varchar(50), SERVERPROPERTY('ProductVersion')) LIKE '10.5%' THEN 'SQL 2008R2'
        WHEN CONVERT(varchar(50), SERVERPROPERTY('ProductVersion')) LIKE '11%' THEN 'SQL 2012'
        WHEN CONVERT(varchar(50), SERVERPROPERTY('ProductVersion')) LIKE '12%' THEN 'SQL 2014'
        WHEN CONVERT(varchar(50), SERVERPROPERTY('ProductVersion')) LIKE '14%' THEN 'SQL 2016'
        WHEN CONVERT(varchar(50), SERVERPROPERTY('ProductVersion')) LIKE '15%' THEN 'SQL vNext'
    ELSE 'UNKNOWN' END
,SERVERPROPERTY('ProductLevel') as [ServicePackLevel]
,ISNULL(SERVERPROPERTY('ProductUpdateLevel'),'N/A') as [UpdateLevel]
,ISNULL(SERVERPROPERTY('ProductUpdateReference'),'N/A') as [UpdateKBNumber]
,SERVERPROPERTY('Edition') as [Edition]
,SERVERPROPERTY('IsClustered') as [Clustered]
,SERVERPROPERTY('IsHadrEnabled') as [isAlwaysON]
,[UserDatabasesHosted] = @dbs
GO
/*SCRIPT END*/

Posted in T-SQL | Tagged: , , | Leave a Comment »

T-SQL Script to find the size of every index in the database

Posted by Sudarshan Narasimhan on December 15, 2012


I wrote this query to find the size of all indexes in the database for one of my customers. Thought I’d share this script with everyone. Cheers.


CREATE PROCEDURE uspIndexSizeinDB
AS 
-- Author: Sudarshan (TheSQLDude.com)
-- Data Created: Dec 15, 2012
-- Description: Calculate the SQL Server index size for all indexes in the current database
  BEGIN 
    DECLARE  @IndexSize BIGINT, 
             @IndexID   INT,
             @IndexName nvarchar(200),
             @IndexType nvarchar(50),
             @ObjectID  INT
     
    SET @IndexSize = 0
    
    create table #tmpresults (ObjName nvarchar(100), IndexID int, IndexName nvarchar(200),[IndexSize(MB)] int, IndexType nvarchar(50))
    
    DECLARE curIndex CURSOR  FOR 
    SELECT sysind.object_id, sysind.index_id, sysind.name, sysind.type_desc 
    FROM sys.indexes sysind 
    join sys.sysobjects sysobj
    on sysind.object_id = sysobj.id
    where sysind.type>0 and sysobj.type not in ('S','IT')
    order by sysobj.id asc
   
    OPEN curIndex 
     
    FETCH NEXT FROM curIndex 
    INTO @ObjectID, @IndexID, @IndexName, @IndexType
     
    WHILE (@@FETCH_STATUS = 0) 
      BEGIN 
        SELECT @IndexSize = sum(avg_record_size_in_bytes * record_count) 
        FROM   sys.dm_db_index_physical_stats(DB_ID(),@ObjectID, @IndexID, NULL, 'detailED') 
         
        insert into #tmpresults (ObjName, IndexID, IndexName, [IndexSize(MB)], IndexType)
        SELECT TableName = OBJECT_NAME(@ObjectID), 
               IndexID = @IndexID, 
               IndexName = @IndexName,
               [IndexSize(MB)] = CONVERT(DECIMAL(16,1),(@IndexSize / (1024.0 * 1024))), IndexType = @IndexType
         
        FETCH NEXT FROM curIndex 
        INTO @ObjectID, @IndexID, @IndexName, @IndexType
      END 
    CLOSE curIndex 
    DEALLOCATE curIndex 
    
    select UPPER(ObjName) as ObjectName, IndexID, IndexName, IndexType, [IndexSize(MB)]  from #tmpresults order by [IndexSize(MB)] desc
  END 
GO

Posted in DB Maintenance, T-SQL | Tagged: , , , , , , | 2 Comments »

Scripts to monitor SQL Server Memory usage in Buffer Pool, Plan Cache and identify Query Memory grants & waits by session

Posted by Sudarshan Narasimhan on December 14, 2012


I often use a multitude of T-SQL queries and scripts when I am troubleshooting memory issues and even for monitoring SQL Server Memory usage. I am posting these scripts here in the spirit of sharing, as I’m sure there are other variations of these same scripts out there already. For this purpose of this blog post, these scripts are only useful in troubleshooting out-of-memory (OOM) and other issues in the Buffer Pool. This blog post does not cover Virtual Address/Virtual Memory or memory tracking outside of the Buffer Pool. That will be covered in a later post.

In case you have other scripts for memory monitoring, please leave behind a comment


— Query to find the Buffer Pool usage per each Database
— Each of these pages are present in the Buffer Cache, meaning they are IN_RAM pages.

DECLARE @total_buffer BIGINT;
SELECT @total_buffer = cntr_value
FROM sys.
dm_os_performance_counters
WHERE RTRIM([object_name]) LIKE
‘%Buffer Manager’
AND counter_name = ‘Total Pages’
/AND counter_name = ‘Database pages’ — Uncomment this line & comment the above line, if you’re SQL Server version is 2012 or above/

;WITH BufCount AS
(
SELECT
database_id, db_buffer_pages = COUNT_BIG
()
FROM sys.
dm_os_buffer_descriptors
WHERE database_id BETWEEN 5 AND 32766
GROUP BY database_id
)
SELECT
[Database_Name] = CASE [database_id] WHEN 32767
THEN 
‘MSSQL System Resource DB’
ELSE DB_NAME([database_id]) END
,
[Database_ID]
,
db_buffer_pages as [Buffer Count (8KB Pages)]
,
[Buffer Size (MB)] = db_buffer_pages / 128
,
[Buffer Size (%)] = CONVERT(DECIMAL(10,2
), db_buffer_pages 100.0 / @total_buffer)
FROM BufCount
ORDER BY [Buffer Size (MB)] DESC
;

Output

image


-- Query to identify objects that are taking up most of that memory in Buffer Pool.
-- This is only for the current database context. Please prefix <USE DBNAME> as per your requirement

SELECT TOP 25 
 DB_NAME(bd.database_id) as DBNAME,
 obj.[name] as [Object Name],
 sysobj.type_desc as [Object Type],
 i.[name]   as [Index Name],
 i.[type_desc] as [Index Type],
 COUNT_BIG(*) AS Buffered_Page_Count ,
 COUNT_BIG(*) * 8192 / (1024 * 1024) as Buffer_MB,
 bd.page_type as [Page Type] -- ,obj.name ,obj.index_id, i.[name]
FROM sys.dm_os_buffer_descriptors AS bd 
    INNER JOIN 
    (
        SELECT object_name(object_id) AS name 
            ,index_id ,allocation_unit_id, object_id
        FROM sys.allocation_units AS au
            INNER JOIN sys.partitions AS p 
                ON au.container_id = p.hobt_id 
                    AND (au.type = 1 OR au.type = 3)
        UNION ALL
        SELECT object_name(object_id) AS name   
            ,index_id, allocation_unit_id, object_id
        FROM sys.allocation_units AS au
            INNER JOIN sys.partitions AS p 
                ON au.container_id = p.hobt_id 
                    AND au.type = 2
    ) AS obj 
        ON bd.allocation_unit_id = obj.allocation_unit_id
LEFT JOIN sys.indexes i on i.object_id = obj.object_id AND i.index_id = obj.index_id
LEFT JOIN sys.objects sysobj on i.object_id = sysobj.object_id
WHERE database_id = DB_ID()
and sysobj.type not in ('S','IT')
GROUP BY DB_NAME(bd.database_id), obj.name, obj.index_id , i.[name],i.[type_desc],bd.page_type,sysobj.type_desc
ORDER BY Buffered_Page_Count DESC

Output

image


-- Query to show current memory requests, grants and execution plan for each active session
-- This shows memory granted & requested for currently active sessions on the instance level
-- This can be used in a script to capture information over a period of time.

SELECT mg.session_id, mg.requested_memory_kb, mg.granted_memory_kb, mg.used_memory_kb, t.text, qp.query_plan 
FROM sys.dm_exec_query_memory_grants AS mg
CROSS APPLY sys.dm_exec_sql_text(mg.sql_handle) AS t
CROSS APPLY sys.dm_exec_query_plan(mg.plan_handle) AS qp
ORDER BY 1 DESC OPTION (MAXDOP 1)

Output

image

Note: When you click on the query_plan, it opens up the XML Showplan in SSMS.


-- Query to search plan cache for queries with memory grants completed

SELECT top 50 t.text, cp.objtype ,qp.query_plan, cp.usecounts, cp.size_in_bytes as [Bytes Used in Cache]
FROM sys.dm_exec_cached_plans AS cp
JOIN sys.dm_exec_query_stats AS qs ON cp.plan_handle = qs.plan_handle
CROSS APPLY sys.dm_exec_query_plan(cp.plan_handle) AS qp
CROSS APPLY sys.dm_exec_sql_text(qs.sql_handle) AS t
WHERE qp.query_plan.exist('declare namespace n="http://schemas.microsoft.com/sqlserver/2004/07/showplan"; //n:MemoryFractions') = 1
order by cp.size_in_bytes desc
OPTION (MAXDOP 1)

Output

image


-- Queries that have requested memory or waiting for memory to be granted
SELECT  DB_NAME(st.dbid) AS [DatabaseName] ,
        mg.requested_memory_kb ,
        mg.ideal_memory_kb ,
        mg.request_time ,
        mg.grant_time ,
        mg.query_cost ,
        mg.dop ,
        st.[text]
FROM    sys.dm_exec_query_memory_grants AS mg
        CROSS APPLY sys.dm_exec_sql_text(plan_handle) AS st
WHERE   mg.request_time < COALESCE(grant_time, '99991231')
ORDER BY mg.requested_memory_kb DESC ;

Note: This query can be used when there are active sessions waiting on memory to be granted and they are waiting. These sessions will have a wait_type of RESOURCE_SEMAPHORE. You can calculate the wait time for memory grant, by subtracting request_time and grant_time


-- SQL Server 2005/2008/R2 version
-- Top clerks ordered by memory used
SELECT TOP(20) [type] as [Memory Clerk Name], SUM(single_pages_kb) AS [SPA Memory (KB)],
SUM(single_pages_kb)/1024 AS [SPA Memory (MB)]
FROM sys.dm_os_memory_clerks
GROUP BY [type]
ORDER BY SUM(single_pages_kb) DESC;
-- SQL Server 2012 version
-- Top clerks ordered by memory used
SELECT TOP(20) [type] as [Memory Clerk Name], SUM(pages_kb) AS [SPA Memory (KB)],
SUM(pages_kb)/1024 AS [SPA Memory (MB)]
FROM sys.dm_os_memory_clerks
GROUP BY [type]
ORDER BY SUM(pages_kb) DESC;

Output

image
That’s all for now folks!

  • TheSQLDude (Sudarshan)

 

Posted in Memory, Performance, T-SQL | Tagged: , , , , , , , , , | 13 Comments »

Identifying Documents & Document Types that are NOT present in the full-text index

Posted by Sudarshan Narasimhan on August 29, 2012


I recently worked on this scenario with a customer of mine. They had a DOCS table which contained resume’s and CV’s of their candidates. This DOCS table was full-text indexed. They noticed that their search results in the application was not showing all the documents when they performed keyword based search. On looking into the full-text index and following my previous post on this topic @ https://thesqldude.com/2012/07/06/how-to-identify-the-row-or-document-that-failed-to-index-during-a-fulltext-index-population/ , we found out that many .DOC and .HTML documents have failed, hence these don’t show up in the search results.

Now, dbo.DOCS is a huge table and it contained more than a million rows. 1190688 to be exact. So to find out that documents that need to be replaced, I did the following steps.

GOAL

1. Identify all the document types and the count of documents of that type, which are not a part of the full-text index

2. Identify each DocumentID that is not a part of full-text index, so that this can be corrected from the application and thus re-index via fulltext population.

Luckily for me this was SQL Server 2008 R2. Starting with SQL Server 2008 there are 2 useful DMV’s that contain information about the full-text index.

a) sys.dm_fts_index_keywords_by_document

b) sys.dm_fts_index_keywords

These views were not present in SQL 2005. Using the DMV sys.dm_fts_index_keywords_by_document we can get to find the Document that is present in the FTIndex. If a document is present, it means it has been indexed successfully.

Table Structure

[dbo].[Docs]
    [DocId] [int](50)
    [DocName] [varchar](400)
    [DocType] [varchar](200) 
    [DocCategory] [varchar](50)
    [Document] [varbinary]

sys.dm_fts_index_keywords_by_document
    [document_id]  [int]
    [occurrence_count]   [int]
    [display_term]   [nvarchar (8000)]

The Document_id column in the DMV corresponds to the full-text key value of the table. In this case the table dbo.Docs has the full-text key column as [DocId]. So, basically the Docs.dbo (DocId) is the same as sys.dm_fts_index_keywords_by_document (document_id). If you want to find the full-text key column of a table, you can use a query like this within the context of the user database.

SELECT COL_NAME(object_Id('dbo.Docs'),OBJECTPROPERTY(OBJECT_ID('dbo.Docs'), 'TableFulltextKeyColumn'))

 

Identifying Indexed Documents, Failed Documents and Document Types

1. Find the count of documents that are successfully indexed

drop table #fts_index_document_id
CREATE table #fts_index_document_id (docid int)
insert into #fts_index_document_id
SELECT distinct document_id FROM sys.dm_fts_index_keywords_by_document(db_id('ContentDB'), object_id('dbo.Docs'))
go
select count(*) as [Successful Document Count] 
from dbo.docs_tbl_data t1
join dbo.fts_index_document_id t2
on t1.DocID = t2.DocID

I found that 979415 rows were returned from the above query.

Successfully Indexed Documents = 979415

2. Find the count of documents that are NOT successfully indexed, i.e. Failed Documents

select count(*) as [Failed Document Count]
from dbo.Docs t1
where t1.docid not in ( select t2.docid from #fts_index_document_id t2)

I found that 211273 rows were returned from the above query, which is basically a NOT IN filter where each document_id present in the base table (dbo.Docs) is checked in the FTindex (#fts_index_document_id) and if not present then it is a failed document.

Failed to Index Documents = 211273

Okay, so I did a count of the total rows present in the table dbo.Docs, and that came up to 1190688

Total Documents 1190688
Successfully Indexed Docs 979415
Failed to Index Docs 211273

So, the count is tallying up fine.

3. Find the count of each document type and the number of documents of that type that has failed to be indexed.

The idea here is basically to see which document types/formats are the ones that have failed to get indexed. You might notice patterns when finding this out, like all PDF docs have failed or something similar. To find out, I used this query

select DocType, COUNT(1) as [Count] from dbo.Docs
where DOCID NOT IN (select docid from #fts_index_document_id) 
group by DocType
order by COUNT(1) desc

image

As we can see from the above output, most of the failed documents are of type HTML and DOC.

4. Find each individual document, document name of a specific document type has failed to be indexed

Now that we have the breakdown of document types that have failed, we need to identify each unique document in the table of a specific type (say .DOC) that isn’t indexed, so that it can be corrected from the application side by re-inserting the document.

I am using the same # temp table which contains my indexed documents in the FTIndex. The reason I am using a #tmp table is because the DMV is slow as it scans through the full-text index and we don’t have to read the index each time. So I’m storing the output in a #tmp table and re-using that for all my queries. I would recommend you follow this because if the FTIndex is large, then querying the DMV each time isn’t going to be fast nor good for performance.

select t3.DocId, t3.Doctype, t3.DocName, t3.DocCategory
from dbo.Docs t3
where t3.DocID not in (
select t1.DocID from dbo.Docs t1
join #fts_index_document_id t2
on t1.DocID = t2.DocId)
and t3.DocType = 'HTML'
order by t3.DocId asc

The output of the above query will return each document that has failed to be indexed (not a part of the full-text index) and of type HTML. You can change the filter clause highlighted to suite your needs. See sample output below for a list of failed documents of type ‘DOC’.

image

Since you now the Document names, Document ID, Document type, you can get in touch with your application team to have a look at these documents and verify these are valid documents. If possible they can be reinserted back from the application into the table dbo.Docs.

NOTE

The thing with document indexing is that, all of these documents are first stored on the file-system and usually there is an application involved (any document management application) that takes care of inserting these documents into the database as BLOB data (varbinary, text, image). Usually its not inserted directly, but via some application. The application has to programmatically read the document as BYTE or Stream and then pass this to the database insert statement. There are chances that the application code has issues for certain documents, like maybe it missed a BYTE value or header. You will notice this scenario, when a particular document opens up fine using Office Client but the same document does not get indexed with this error

Error ‘0x8004170c: The document format is not recognized by the filter.’ occurred during full-text index population

When you see this error, keep in mind the application that is actually taking the document and inserting it into the database. Whichever application is being used to insert the documents is not doing it correctly and the document is actually not valid for indexing. The IFilter for Office Documents is very strict on the file format. It will not even process other file formats that Word is able to open such as RTF. Opening the file with Office Client is very different to opening the stream for the IFilter. You will see this behaviour yourself when you open/save the same file without changes, Office Client adds other changes and filesize increases. It does make changes to the file header and this is a key point!

 
You may want to take a closer look to see how these DOC files are getting inserted into SQL Server. I’ve seen that even a small byte missed here or there can render the file invalid (in the eyes of the IFilter). I’ve seen this happen for XLS/PPT/DOC file formats. If you face this scenario, try and find answers to the following questions.

Question to Think about:-

1. What is the application used to insert these documents into the database?

Find the application vendor or support team and ask them if they have any application updates or any issues reported of specific documents types failing to get indexed

2. When were these failed documents inserted. Try and find the source date/year when these were added to the table (maybe a datetime column exists in the table?)

It is possible that all of the failed documents originated from a specific date and time. Usually this is the case for older file formats like DOC/PPT/XLS compared to the new Metro Office Formats like DOCX etc.

It is also possible that at the time these were inserted, the application performing the insert had some issues which were later fixed

3. Are there different versions of this application available?

Same as #2. If the application has later fixes, it doesn’t change the fact that the table contains BLOB value inserted using an older version of the application. Re-inserting the same documents using the newer version of the application is a step to take.

4. Are they facing failure with new documents being inserted today?

This will tell you if the issue is with older documents already present in the table or even with newly added documents. Again, we are just narrowing down the source of the problem.

 

Posted in FTS (Full-Text Search), T-SQL | Tagged: , , , , , , , , , , , | Leave a Comment »

Auditing T-SQL Script to find out who made changes to data in a table

Posted by Sudarshan Narasimhan on June 1, 2012


Having worked with multiple customers and different application where at times the data in the table has gotten changed and we need to find out when/where/who made the changes, I used the below T-SQL code to setup a trigger on the table and track the changes into an auditing table. There are obviously other ways to do this like SQL Profiler, XEvents etc., but I find using T-SQL more simpler and lesser overhead. So, sharing the script for others to use.

-- Note: This trigger tracks Updates and Deletes happening on a table. 
-- Please delete this trigger once the source has been identified and corrective actions have been taken.

-- 1. Creating the audit table to store information on Update/Delete
CREATE TABLE AuditTable
(
AuditID [int] IDENTITY(1,1) NOT NULL,
Timestamp datetime not null CONSTRAINT AuditTable_Timestamp DEFAULT (getdate()),
OperationType char(1),
OperationDate datetime DEFAULT (GetDate()), 
PrimaryKeyValue varchar(1000), 
OldColValue varchar(200), 
NewColValue varchar(200), 
UserName varchar(128),
AppName varchar(128),
ClientName varchar(128)
)
go

--2. Creating  the audit trigger
-- Replace PrimaryKeyValue with the PK Column Name
-- Replace NewColValue with the column name in the IF BLOCK
-- Replace OldColValue with the column name in the final SELECT statement
-- Replace TBLNAME with the name of your table which you want to track the changes for.

Create trigger TBLNAME_Audit on TBLNAME for update, delete
AS
declare @OperationType char(1),
@OperationDate datetime,
@NewColValue varchar(200),
@OldColValue varchar(200),
@UserName varchar(128),
@AppName varchar(128),
@ClientName varchar(128)

select @UserName = system_user
select @OperationDate = CURRENT_TIMESTAMP
select @ClientName = HOST_NAME()
select @AppName = APP_NAME()

if exists (select * from deleted)
      if exists (select * from inserted)
      begin
            select @OperationType = 'U'
            select @NewColValue = NewColValue from inserted
      end
      else
      begin
            select @OperationType = 'D'
            select @NewColValue = null
      end
      
Insert AuditTable (OperationType, OperationDate, PrimaryKeyValue, OldColValue, NewColValue, UserName, AppName, ClientName)
select @OperationType, @OperationDate, PrimaryKeyValue, OldColValue, @NewColValue, @UserName, @AppName, @ClientName
from deleted
go

--3. Query the audit table once the values in the base table has changed
select * from AuditTable

Posted in Auditing, Security, T-SQL | Tagged: , , , , , , | 5 Comments »

Monitoring tempdb space usage and scripts for finding queries which are using excessive tempdb space

Posted by Sudarshan Narasimhan on May 15, 2012


Many times during the life of a DBA, you might notice the tempdb database growing excessively, though no changes have recently been done. It’s often the case that due to data increase, the application T-SQL queries are not written to scale up, hence end up doing excessive sorting/hashing operations which consume space from your tempdb database. Here are some T-SQL scripts that you can use to monitor who/what is consuming space from tempdb and plan accordingly.

Before we get into identifying queries that use tempdb, it is very important to understand what all activities in SQL Server (both internal & user activities), which use the tempdb database. Broadly you can classify these into 3 categories:-

  1. Internal Objects
  2. Version Stores
  3. User Objects

From a feature perspective, here are the features in SQL Server that use space from tempdb.

  1. Query
  2. Triggers
  3. Snapshot isolation and read committed snapshot (RCSI)
  4. MARS
  5. Online index creation
  6. Temporary tables, table variables, and table-valued functions
  7. DBCC CHECK
  8. LOB parameters
  9. Cursors
  10. Service Broker and event notification
  11. XML and LOB variables
  12. Query notifications
  13. Database mail
  14. Index creation
  15. User-defined functions

From a query performance standpoint, here are some operators that use tempdb space.

1. Sort Operator : The sort operator needs tempdb space to sort the full rowset of incoming rows. This is usually send when user ODER BY and also for DISTINCT ORDER BY

        image

2. Hash Match Operator: Depending on the size of row, a hash table could use tempdb

      image

3. Spool Operator: This operator is used to save the intermediate set of rows for re-use and uses the tempdb database to save the query result set.

         image

Tempdb out of space error

Error: 1105, Severity 17, State 2
Could not allocate space for object dbo.TBL1  in database ‘tempdb’ because the ‘PRIMARY’ filegroup is full.

 

Identify which type of tempdb objects are consuming  space

The following query helps you understand if user objects or version store or internal objects are the ones using the space in tempdb. According to this output, you can focus on the below sections.

SELECT
SUM (user_object_reserved_page_count)*8 as user_obj_kb,
SUM (internal_object_reserved_page_count)*8 as internal_obj_kb,
SUM (version_store_reserved_page_count)*8  as version_store_kb,
SUM (unallocated_extent_page_count)*8 as freespace_kb,
SUM (mixed_extent_page_count)*8 as mixedextent_kb
FROM sys.dm_db_file_space_usage
If user_obj_kb is the highest consumer, then you that objects are being created by user queries like local or global temp tables or table variables. Also don’t forget to check if there are any permanent 
tables created in TempDB. Very rare, but I’ve seen this happening.
If version_store_kb is the highest consumer, then it means that the version store is growing faster than the clean up. Most likely there are long running transactions or open transaction (Sleeping state), 
which are
preventing the cleanup and hence not release tempdb space back.



Query that identifies the currently active T-SQL query, it’s text and the Application that is consuming a lot of tempdb space

SELECT es.host_name , es.login_name , es.program_name,
st.dbid as QueryExecContextDBID, DB_NAME(st.dbid) as QueryExecContextDBNAME, st.objectid as ModuleObjectId,
SUBSTRING(st.text, er.statement_start_offset/2 + 1,(CASE WHEN er.statement_end_offset = -1 THEN LEN(CONVERT(nvarchar(max),st.text)) * 2 ELSE er.statement_end_offset 
END - er.statement_start_offset)/2) as Query_Text
, tsu.session_id ,tsu.request_id, tsu.exec_context_id, (tsu.user_objects_alloc_page_count - tsu.user_objects_dealloc_page_count) as OutStanding_user_objects_page_counts, (tsu.internal_objects_alloc_page_count - tsu.internal_objects_dealloc_page_count) as OutStanding_internal_objects_page_counts, er.start_time, er.command, er.open_transaction_count, er.percent_complete, er.estimated_completion_time, er.cpu_time, er.total_elapsed_time, er.reads,er.writes,
er.logical_reads, er.granted_query_memory FROM sys.dm_db_task_space_usage tsu inner join sys.dm_exec_requests er ON ( tsu.session_id = er.session_id and tsu.request_id = er.request_id
) inner join sys.dm_exec_sessions es ON ( tsu.session_id = es.session_id ) CROSS APPLY sys.dm_exec_sql_text(er.sql_handle) st WHERE (tsu.internal_objects_alloc_page_count+tsu.user_objects_alloc_page_count) > 0 ORDER BY (tsu.user_objects_alloc_page_count - tsu.user_objects_dealloc_page_count)+(tsu.internal_objects_alloc_page_count - tsu.internal_objects_dealloc_page_count)
DESC



Tempdb and the Version Store

The version stored (SQL 2005 onwards) is a collection of objects that are used when Snapshot Isolation or Read-Committed Snapshot Isolation (RCSI) or online index rebuild etc. are used in a database.

Version store contains the committed rows which is how a SELECT operation does not get blocked when another UPDATE/DELETE is operating on the same row, because the SELECT reads the row from the version store, instead of the actual base table. When you enable this, the row has to be stored somewhere and tempdb happens to be the place. A row is maintained in the version store when there are transactions operating on that row in questions. When the transaction is committed, the row is cleaned up from the version store tables.

You can check the version store using the DMV sys.dm_tran_version_store

At times, when there are long running transactions or orphaned transactions, you might notice tempdb growth due to the version store.

You can use the following query to find the oldest transactions that are active and using row versioning.

SELECT top 5 a.session_id, a.transaction_id, a.transaction_sequence_num, a.elapsed_time_seconds,
b.program_name, b.open_tran, b.status
FROM sys.dm_tran_active_snapshot_database_transactions a
join sys.sysprocesses b
on a.session_id = b.spid
ORDER BY elapsed_time_seconds DESC

Trace Flag 1118

This trace flag is available starting with SQL 2000 SP3 to reduce tempdb contention by forcing uniform extent allocations as opposed to mixed extent allocations. This trace flag is only to be used if you seeing contention (wait_Stats) on the PFS/GAM pages like 2:1:1 etc.. More internal details on this trace flag is available in Paul Randal’s blog post here.

Not only does enabling the trace flag help but you need to create multiple tempdb files equal to the number of logical processors. So if you have 4 CPU’s you will create 4 tempdb data files. Now, what if you have 16 or 32 processors, do you still need to create that many tempdb files?

The answer is NO, you don’t have to. The above recommendation has been stated in many KB articles like http://support.microsoft.com/default.aspx?scid=kb;EN-US;328551

If the number of logical processors on your server is greater than or equal to 8, then use 8 data files for tempdb. If the number of logical processors is less than 8, then use as many data files as your processor count.

You can use the following against any of the SQL Servers you manage to find out if any change is required in the tempdb data files to reduce contention and improve general performance.

Declare @tempdbfilecount as int;
select @tempdbfilecount = (select count(*) from sys.master_files where database_id=2 and type=0);
WITH Processor_CTE ([cpu_count], [hyperthread_ratio])
AS
(
      SELECT  cpu_count, hyperthread_ratio
      FROM sys.dm_os_sys_info sysinfo
)
select Processor_CTE.cpu_count as [# of Logical Processors], @tempdbfilecount as [Current_Tempdb_DataFileCount], 
(case 
      when (cpu_count<8 and @tempdbfilecount=cpu_count)  then 'No' 
      when (cpu_count<8 and @tempdbfilecount<>cpu_count and @tempdbfilecount<cpu_count) then 'Yes' 
      when (cpu_count<8 and @tempdbfilecount<>cpu_count and @tempdbfilecount>cpu_count) then 'No'
      when (cpu_count>=8 and @tempdbfilecount=cpu_count)  then 'No (Depends on continued Contention)' 
      when (cpu_count>=8 and @tempdbfilecount<>cpu_count and @tempdbfilecount<cpu_count) then 'Yes'
      when (cpu_count>=8 and @tempdbfilecount<>cpu_count and @tempdbfilecount>cpu_count) then 'No (Depends on continued Contention)'
end) AS [TempDB_DataFileCount_ChangeRequired]
from Processor_CTE;

 

Here is a sample output. As you can see I have 8 processors and only 1 tempdb file. So I need to add 7 more files.

clip_image002


Last point before I wrap up this post. Once your tempdb database or log file is full, you have these options:-

1. Either you have to rollback any transactions consuming tempdb space or kill the transactions (not a good idea).

2. Create additional tempdb files in other drives which have free space, while you dig around to find the culprit who is growing tempdb.

3. Restart your SQL Server service.

Have fun working with tempdb. Here are some good references

Working with tempdb – http://technet.microsoft.com/hi-in/library/cc966545(en-us).aspx

Storage Engine Blog – http://blogs.msdn.com/b/sqlserverstorageengine/archive/2009/01/12/tempdb-monitoring-and-troubleshooting-out-of-space.aspx

Posted in Performance, T-SQL | Tagged: , , , , , , , , , | 18 Comments »