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Tag Archives: SQL Tricky question

SQL Query Performance & Optimization – What you should look in execution plans?

05 Wednesday Aug 2015

Posted by Pawan Kumar Khowal in SQL Performance Tuning

≈ 1 Comment

Tags

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SQL Query Performance & Optimization – What you should look at execution plan?

So I haven’t posted anything, kind of busy with some other stuff. Basically last week was very painful in terms of professional achievements. Moving on today let’s talk about what we should look at in execution plan. The question is very common in technical interviews. What the interviewer normally asks is you have got a slow query, what you do to make it fast or how do you tune that query. So I am here jotting down the top 10 things we should look at while analyzing the query plan. Also please note that by looking at the operators you will not get the solution but you will know where your problem lies. Nothing is right or wrong in the execution plan. It’s just that sometimes optimizer does not gives us optimal plan and it may be due to the following.

1. We are unable to provide the updates statistical information.
2. Or optimizer losses it along the way due to other operations
3. Or we wrote extremely bad query
4. Or maybe something else 

Please note that if your query is taking too long to complete go with the estimated plan.

So the things you should in the execution plan are-

1. First Operator –

Always start with checking first operator. First operator can be Select, Insert and Delete. Please note that we don’t have Update as the first operator. Right click on the first operator to get tons of properties and information. Major properties you should check here are given below-

a. Check optimization level – I think it should be FULL.
b. Reason for Early Termination of Statement – I think it should be “Good Enough Plan Found”.
c. Parameter compiled value and Parameter runtime value – This will help in finding parameter sniffing issues.
d. Estimated Sub tree cost

Example


--

CREATE PROC FindCounts
(
	 @Female VARCHAR(1)
	,@Male VARCHAR(1)
)
AS
	SELECT c1.DeptID, COUNT(*) TotalEmpPerDept
		,SUM( CASE WHEN EmpGender = @Male THEN 1 ELSE 0 END ) MaleCount
		,SUM( CASE WHEN EmpGender = @Female THEN 1 ELSE 0 END ) FemaleCount
	FROM [dbo].[CountMaleFemale] c1
	GROUP BY DeptID

--


CHECKPOINT
DBCC FREEPROCCACHE
GO

EXEC FindCounts 'F', 'M'
GO

Execution Plan

First Operator in Execution Plan

Pawan Khowal – First Operator in Execution Plan

First Operator in Execution Plan - Properties

Pawan Khowal – First Operator in Execution Plan – Properties

2. High cost operators –

Okay we should look at physical operations with high cost. What is the most expensive piece of this query? E.g. what is taking up 95% of the cost is. 95% is where your problem is. So always keep an eye on the most costly operators.

So one may say that this cost is only based on the estimates and it is same in estimated and actual execution plan. We don’t have any mechanism to calculate the actual cost. So we use estimated numbers only. We should still use them. These are accurate more often than not and can quickly inform you to the possible source of the problem.

Example


SELECT c1.DeptID, COUNT(*) TotalEmpPerDept
	,SUM( CASE WHEN EmpGender = 'M' THEN 1 ELSE 0 END ) MaleCount
	,SUM( CASE WHEN EmpGender = 'F' THEN 1 ELSE 0 END ) FemaleCount
FROM [dbo].[CountMaleFemale] c1
GROUP BY DeptID

Execution Plan

Pawan Khowal - High Cost Operators in Execution Plan

Pawan Khowal – High Cost Operators in Execution Plan

In the above example index scan is the most costly operation. Here I am just showing the costly operation there is nothing incorrect about the query.

3. Warnings

This means exclamation marks. Exclamation marks are bad. Hover over the execution plan, it may or may not be bad. But always check that because it’s an exclamation mark.

Execute the below query on AdventureWorks2014


SELECT
    ProductID, Name, ProductNumber, MakeFlag, FinishedGoodsFlag, Color, SafetyStockLevel, ReorderPoint
  , StandardCost, ListPrice, Size, SizeUnitMeasureCode, WeightUnitMeasureCode, Weight, DaysToManufacture
  , ProductLine, Class, Style, ProductSubcategoryID, ProductModelID
  , SellStartDate, SellEndDate, DiscontinuedDate FROM [dbo].[bigProduct]
WHERE CAST(ProductID AS NVARCHAR(10)) = N'1001'

Warning from properties-

Type conversion in expression (CONVERT(nvarchar(10),[AdventureWorks2014].[dbo].[bigProduct].[ProductID],0)) may affect “CardinalityEstimate” in query plan choice, Type conversion in expression (CONVERT(nvarchar(10),[AdventureWorks2014].[dbo].[bigProduct].[ProductID],0)=[@1]) may affect “SeekPlan” in query plan choice

Execution Plan of above query

Pawan Khowal - Warnings in Execution Plans

Pawan Khowal – Warnings in Execution Plans

4. Thick lines / Fat pipes

Here always look at the think lines from the execution plan, you have seeks and scans with a huge fat pipe with millions of rows. So this can be the source of your problem is. Look at the estimated and actual number of rows. If they are way of then that might be the source of your problem. So always keep you data size as small as possible. Try to reduce the data size as early as possible.

Example

–Note – this is a sample query. Don’t use * in your queries.


SELECT
	*
FROM bigTransactionHistory  

Pawan Khowal - Thick Lines or Fat Pipes in Execution Plan

Pawan Khowal – Thick Lines or Fat Pipes in Execution Plan

5. Scans

Scans are basically are of three types – Table scan, Clustered Index Scan and Non Clustered Index Scan. Scan means you are reading all data from your table. Meaning if you have billions of rows then we might have a problem there. So you must need to check what’s going to on there. Please understand that nothing is bad or good in execution plans, on the same lines scans are not necessarily bad for performance. In general try to reduce the dataset as soon as possible and try to work over smaller datasets.

Scans are bad if seek is possible and you have written bad query and because of that you are getting a scan.

Example

–Check below queries


SELECT c1.EmpId, c1.EmpName
FROM [dbo].[CountMaleFemale] c1
WHERE LEFT(EmpName,1) = 'P'

SELECT c1.EmpId, c1.EmpName
FROM [dbo].[CountMaleFemale] c1
WHERE EmpName LIKE 'P%'

Execution Plans – In one case we are getting scan and in one case we are getting seek.

6. Actual no of rows and Estimated number of rows

Ok this is one is really important. If we failed to inform the proper information about the data to the optimizer we will get huge difference in actual and estimated number of rows. This information you can get by hovering over the iterator using tool tip or by using properties of iterators.

Example


SELECT c1.EmpId, c1.EmpName
FROM [dbo].[CountMaleFemale] c1
WHERE EmpName LIKE 'P%'

Execution plan

Pawan Khowal - Actual and Estimated Number or Rows

Pawan Khowal – Actual and Estimated Number or Rows

Pawan Khowal - Actual and Estimated Number or Rows - Properties

Pawan Khowal – Actual and Estimated Number or Rows – Properties

7. Check for set options

If you are two execution plans for the same query then you need to check set options I mentioned in the First Operator. This is common if you running a query for application and executing the same query from SSMS and for both queries you are getting different execution plans. Most of the time the issue lies with Set Options and one of them behaves badly.

Example- Right Click on First Operator

Pawan Khowal - Set Options in Execution Plan

8. Missing indexes/ Stats

These comes with a green colour and SQL Server informs us that if you create this index you can get performance improvement of this much percentage. Don’t always go for creating the index. First check the percentage impact and check how many indexes are already present for the table. My rule of thumb is 5 indexes per table.

9. Extra operations

Okay one simple example of extra operation is sort. You will get a expensive sort operator if you don’t have index on the column(s) you are ordering. Other example is spools. If optimizer thinks that its better to save data in tempdb and use it further, Spools are used for that purpose. So these extra operations can also be painful sometimes.

In the upcoming posts, I will explain different types of spools and how we can avoid then(if possible).

I hope you have enjoyed the article. Thanks for reading !

-Pawan Khowal

MSBISkills.com

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Spools in Execution Plan. Are they bad?

26 Sunday Jul 2015

Posted by Pawan Kumar Khowal in SQL Performance Tuning

≈ 2 Comments

Tags

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Spools in Execution Plan. Are they bad?

Spools in Execution Plan

Spools in Execution Plan

So what is a Spool?

1. Spool is a physical operator that shows up in the execution plan.
2. Spool operator effectively saved an intermediate result to the tempdb for further usage.
3. Consider Spools are a cache in the query processor.

How they are implemented?

Spools are implemented as hidden tables in tempdb. Means you get all of your data in tempdb and then queries it. Query optimizer uses spools when it thinks that it’s better to put data in the temp table rather than hitting a table again and again using seeks and scans. So what it does is, it picks data from the table and saves that in the temp table as a hidden table and uses it whenever query optimizer requires it.

Note – Please note that this hidden table is not same as temp table. Consider this as a hidden table (Work table) for a particular query.

Why we have spools in execution plan?

• This is because you didn’t create proper indexes perhaps. Example Unique key, Primary Key, etc.
• You didn’t provide correct information to the query processor about the uniqueness of your data.
• Sometimes even you have unique key or primary key on your table, optimizer losses it along the way due to the behaviour of various iterators in the execution plan. We can bring this case by using keyword distinct to tell the optimizer that the data is unique and it doesn’t have to cache.
• Recursion while updating data( The Halloween problem )

Are spools bad?

1. Well Optimizer uses spools as a performance optimization technique. So effectively we cannot say it a bad or good.

2. Consider a scenario where you have pick all data from a physical table and put that into tempdb and then optimizer queries it, and again pick another table put that in the tempdb and then queries, Now will that a fast query? probably not. So spools are not good in most of the cases. I will explain scenarios like how we can identify bad things like spools and how to avoid them in the upcoming posts.

Types of Spools

Types of Spools in Execution Plans

Types of Spools in Execution Plans

In the upcoming posts, I will explain different types of spools and how we can avoid then(if possible).

I hope you have enjoyed the article. Thanks for reading !

-Pawan Khowal

MSBISkills.com

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Why Lookups are bad for performance?

23 Thursday Jul 2015

Posted by Pawan Kumar Khowal in SQL Concepts, SQL Performance Tuning

≈ 1 Comment

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26 performance tuning questions and solutions, Advanced SQL interview questions, Advanced SQL Queries, Advanced SQL tutorial, Advanced SQL tutorial pdf, Difficult SQL Interview Questions, Download SQL Questions, Download SQL Server Interview Question in PDF, Download SQL SERVER Interview questions, Download SQL Server Interview questions and answers, download sql server interview questions and answers pdf, download sql server interview questions by Pawan Khowal, download sql server interview questions by Pawan Kumar, download sql server interview questions by Pawan Kumar Khowal, Download T-SQL Interview Questions, Free Download SQL SERVER Interview questions, How to tune SQL queries, Interview questions for SQL Server Performance Tuning, key lookups, Looking for SQL Optimization Interview Questions, lookups, Lookups are bad, performance sql server, Performance tips for faster SQL queries, Performance Tuning, Performance Tuning for SQL Server, Query Optimization, Query Performance Tuning, SQL, SQL Common Interview Questions, SQL Common Interview Questions and answers, SQL Complex Queries, SQL FAQ, SQL FAQs, SQL Interview Q & A, SQL Interview Questions, SQL Optimization Interview Questions, sql performance, sql performance and tuning, sql performance explained pdf, sql performance tips, SQL Performance Tuning, sql performance tuning and optimization, sql performance tuning interview questions, sql performance tuning tips, SQL Queries asked in interviews, SQL Query Optimizer, SQL Query Tuning or Query Optimization, SQL Questions, SQL Server, SQL Server - General Interview Questions and Answers, SQL Server developer Interview questions and answers, SQL Server developer Interview questions with answers, SQL SERVER Interview questions, SQL SERVER Interview questions & Answers, SQL Server Interview questions and answers, SQL Server Interview Questions and Answers - Free PDF, SQL SERVER Interview questions and answers for experienced, sql server interview questions and answers for net developers, SQL SERVER Interview questions for experienced, SQL SERVER Interview questions pdf, SQL server optimization interview questions and answers, sql server performance query, sql server performance slow, SQL Server Performance Tuning, SQL Server Performance Tuning Tips, SQL SERVER Tips, SQL SERVER Tricky questions, SQL Tips & Tricks, SQL Tips and Tricks, SQL Tricks, SQL Tricky question, SQL Tuning Overview, SQL Tutorial, T-SQL, T-SQL Interview questions, T-SQL Programming, T-SQL Server Interview Questions, T-SQL Tutorial, Tips for SQL Database Tuning and Performance, Top 10 performance tuning tips for relational databases, TOP 100 SQL SERVER INTERVIEW QUESTIONS, Top 50 SQL Server Questions & Answers, Tough PL SQL Interview Questions, Tough SQL Interview Questions, Tough SQL Queries, Tough SQL Queries Interview Questions, Tough SQL Questions, Tricky SQL Interview Questions, Tricky SQL Interview Questions and answers, Tricky SQL Queries for Interview, Tricky SQL SERVER Interview Questions and answers, Why Lookups are bad for performance?


Why Lookups are bad for performance?

Well today we will talk about why lookups are bad for query performance. So honestly lookups are not bad every time. It depends where optimizer have used it. So we will go step by step to understand this concept in detail. First we will understand what lookups, their types are and when they are bad for performances and what are the remedies we have.

Agenda
1. What are lookups?
2. What are the types of lookups?
3. Examples and lookup operators in execution plan
4. Scenarios where they are bad for performances?
5. Remedies for lookups? How to avoid lookups?

What are lookups?

Please note that lookups happens only in case of Non Clustered Indexes only. This is because in clustered indexes we will have data for all columns at leaf level.

Now lookup case your query is able to use Non Clustered to satisfy the search argument from where clause (Predicate) but you have at least a column in the select list which is not available (Not included) with this index. So effectively from somewhere we have to pull out the remaining columns as optimizer has to satisfy the user’s query. So what it does, it uses RID or clustered key (Clustered Index Key) to fetch the remaining columns from either heap or clustered Index.

So effectively we have two types of lookups

Pawan Khowal - RIDLookup

Pawan Khowal - KeyLookup

1. RID Lookup (Heap) – If the table referenced does not have a clustered index then the query optimizer has to go back to the heap to get the additional information. This is called RID lookup (Heap).
2. Key Lookup (Clustered) – So if the table referenced has a clustered index then the query optimizer has to go back to the clustered index using Clustered key it got from the Non Clustered index. This is called Clustered Key Lookup.

Example of RID Lookup (Heap)

--

/* Create a simple customer table */

CREATE TABLE Customers
(
	 ID INT
	,Name VARCHAR(10)
	,Addr VARCHAR(10)
)
GO

/* Insert some data */

INSERT INTO Customers
SELECT DISTINCT number --, LEFT(CAST(NEWID() AS VARCHAR(255)),8),LEFT(CAST(NEWID() AS VARCHAR(255)),8)
FROM MASTER..SPT_VALUES WHERE number > 0 and number < 1000
GO

INSERT INTO Customers
SELECT DISTINCT number, '02BBD08D', 'Sometext'
FROM MASTER..SPT_VALUES WHERE number > 1158 and number < 1258

/* Create Non Clustered index on Name column */

CREATE NONCLUSTERED INDEX Ix_Name ON Customers(Name)

/*Execute the below query and examine the execution plan*/
SELECT Name, Addr FROM Customers
WITH (INDEX(Ix_Name))
WHERE Name = '02BBD08D'

--

Now let’s examine the execution plan for the above query.

Pawan Kumar Khowak - RIDBadLookUp

Here we have RID Lookup (Heap) since we don’t have Addr column in non-clustered index. Query optimizer uses RID lookup to fetch the additional information. Now let’s check whether it is costly for us not.

Pawan Khowal - NumberofExecutions

Now check out the number of executions for this iterator. It is 101 in our case. Here the number is on the higher side. If this number of executions are 1, 2, 3 or some smaller then it is fine but if you have got lots of rows the cost of this operator becomes astronomical.

In this case we are reading 104 pages from disk. Check out the output of StatisticsIO ON

StatisticsIO

Lookups are very easy to fix. Now let’s modify our index to include the Addr column in the include section. Now why I am adding addr column in the include section is because we are not using this column in the where that’s why. If we would have used in the where then we could have used it in the key column section.

--

/* Drop the existing index and create Non Clustered index on Name column with Addr Column in the include section */

DROP INDEX Ix_Name ON Customers
GO

CREATE NONCLUSTERED INDEX Ix_Name ON Customers(Name) INCLUDE(Addr)
GO

/*Execute the below query and examine the execution plan*/
SELECT Name, Addr FROM Customers
WHERE Name = '02BBD08D'

--

Now let’s examine the execution plan and how many pages we are reading.

--

(101 row(s) affected)
Table 'Customers'. Scan count 1, logical reads 2, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.

(1 row(s) affected)

--

In this case we are reading only 2 pages. So we are doing great!

IndexSeek

In this case we are doing great since we removed RID Lookup(Heap) and Nested Loop(Inner Join) iterator. Enjoy 

Example of Key Lookup (Clustered)

--

USE AdventureWorks2014
GO

SELECT p.Name , p.Color
FROM [Production].[Product] p
WHERE p.Name LIKE 'k%'

--

Now let’s examine the execution plan.

Pawan Khowal - KeyLookUpClustered

Now let’s include color column also in the index.

--

/* Drop the existing index and create Non Clustered index on Name column with color column in the include section */

DROP INDEX AK_Product_Name ON [Production].[Product]
GO

CREATE NONCLUSTERED INDEX AK_Product_Name ON [Production].[Product](Name) INCLUDE(Color)
GO

--

Now let’s check the new execution plan

Pawan Khowal - KeyLookUpClustered

Please understand that Lookups are very easy to fix but you also need to consider other things like how many total indexes you have on your table as indexes comes with a cost. Also whenever you do some DML operation (Insert, Update and Delete) you indexes will be restructured.

Now let’s talk about scenarios where lookups are bad and there remedies.

1. If the number of executions are on the higher side then only should concern about this. If the number of executions in the lookup section is small then we can ignore this.
2. If your query is doing a RID lookup, which means you don’t have Clustered Index on your table. In this scenario you should create a clustered index on your table to get better statistics and eventually an optimal execution plan rather than.
3. Now check whether you really need that extra column(s) or not, most of the time people tend to write * and don’t understand whether they really need that or not. Select only columns that you actually required.
4. If you query id doing a Key lookup(Clustered) then you need to consider things like how many existing indexes you have on your table and whether other queries are badly affected or not due to inclusion of this column. My rule of thumb is that each table should have less than five indexes. We can go ahead and add that column in the include section or the key section depending of the requirement of the query.

I hope you have enjoyed the article. Thanks for reading !

-Pawan Khowal

MSBISkills.com

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Execution/Query Plan Operator – The Concatenation

18 Saturday Jul 2015

Posted by Pawan Kumar Khowal in SQL Performance Tuning

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Execution/Query Plan Operator – The Concatenation

Today let’s talk about Concatenation query plan operator. In execution plan we may have n number of operators that were used by SQL Server to satisfy a query. These operators are called physical operators. Now there are some operators which are logical as well as physical. Concatenation is one of those operators. It is logical as well as physical.

So what Concatenation operator do, Concatenation operator receives one or more input tables(streams) and returns all the rows from each input. So you must be getting what I am talking about. Yes you are right it is used for UNION ALL.

Lets jump on the demo and check out the execution plan-

--

--Create a simple table
CREATE TABLE Book
(
	 BookID INT
	,BookName VARCHAR(50)
	,Edition VARCHAR(10)
)
GO

--Insert some values
INSERT INTO Book(BookID,BookName,Edition)
VALUES
(100012,'SQL Server MVP Deep Dives','1st'),
(167012,'SQL Server MVP Deep Dives','Second'),
(132012,'SQL 2016','Third'),
(100222,'SQL SERVER 2014 - Hekaton','1st')
GO

--Create a clustered index
CREATE UNIQUE CLUSTERED INDEX Ix_BookId ON Book(BookId)
GO

--Lets execute the below query and check out the execution plan
SELECT BookID,BookName,Edition
FROM Book
UNION ALL
SELECT BookID,BookName,Edition
FROM Book

--

Textual Actual Execution Plan using SET Statistics PROFILE ON

Pawan Khowal - Concatenation Operator -Textual Execution Plan

Graphical Actual Execution Plan

Pawan Khowal - Concatenation Operator - Graphical Execution Plan

The concatenation operator here receives the result of all clustered index scan and combines them together to make a single Data Set. Here SQL Server executes the plan in the order that appears in the execution plan.( In this case Top to Bottom )

I hope you have enjoyed the article. Thanks for reading !

-Pawan Khowal

MSBISkills.com

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How SQL SERVER handles duplicate values in an index?

17 Friday Jul 2015

Posted by Pawan Kumar Khowal in SQL Concepts, SQL Performance Tuning

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How SQL SERVER handles duplicate values in an index?

Today let’s talk about how SQL Server handles duplicate values in a clustered index and unique constraints. In which cases it allows insertion of duplicate values and in which cases it throws an error. So let’s directly jumps on the demos-

CASE 1 – Duplicate Insertion in Primary Key Column

Here we are creating a simple table with 2 columns. Only point to be noted here is we have mentioned Primary Key on ID column.

--

CREATE TABLE testDuplicateIndexesPrimaryKey
(
	 ID INT PRIMARY KEY
	,NAME VARCHAR(10)
)
GO

--

Now check what indexes and constraints created on our table. There are some cases where SQL Server internally creates indexes or constraints.

--

EXEC sp_helpindex 'testDuplicateIndexesPrimaryKey'
EXEC sp_helpconstraint 'testDuplicateIndexesPrimaryKey';

--

Output

Duplicate Insertion in Primary Key Column

Pawan Khowal – Duplicate Insertion in Primary Key Column

So in table creation we mentioned primary key. Now internally SQL Server created 2 objects.

• A Unique Clustered Index – PK__testDupl__3214EC27CB282EB4(clustered, unique, primary key located on PRIMARY)
• A Constraint –
PK__testDupl__3214EC27CB282EB4(PRIMARY KEY (clustered))

Note here that whenever you create a primary key SQL Server internally creates an index and a constraint. Now here unique clustered index is used to sort the data at leaf level (Physical sorting) using a B+ tree structure and constraint is used to handle the duplicate values. The Type of constraint here is primary key clustered.

Let’s prove it by running the below statement.

--

INSERT INTO testDuplicateIndexesPrimaryKey(ID,NAME) VALUES (1,'Pawan'),(2,'Avika'),(1,'Aisha')

--

Output

Msg 2627, Level 14, State 1, Line 11
Violation of PRIMARY KEY constraint ‘PK__testDupl__3214EC27CB282EB4’. Cannot insert duplicate key in object ‘dbo.testDuplicateIndexesPrimaryKey’. The duplicate key value is (1). The statement has been terminated.

Now the message we are getting is that we are violating primary key constraint (PK__testDupl__3214EC27CB282EB4). Here It does not provide us any information about the clustered index we have.

CASE 2 –Duplicate Insertion in a Column having unique constraint

Here we are creating a simple table with 2 columns. Only point to be noted here is we have unique constraint on name column.

--

CREATE TABLE testDuplicateIndexesConstraint
(
	 ID INT
	,NAME VARCHAR(10)
	CONSTRAINT Ak_Name UNIQUE (Name)
)
GO

/*

---Alternate syntax to create Constraint

CREATE TABLE testDuplicateIndexesConstraint
(
	 ID INT
	,NAME VARCHAR(10)
)
GO

ALTER TABLE testDuplicateIndexesConstraint
ADD CONSTRAINT Ak_Name UNIQUE (Name); 

*/

--

Now check what indexes and constraints created on our table.

--

EXEC sp_helpindex 'testDuplicateIndexesConstraint'
EXEC sp_helpconstraint 'testDuplicateIndexesConstraint';

--
Pawan Khowal - Duplicate Insertion in a Column having unique constraint

Pawan Khowal – Duplicate Insertion in a Column having unique constraint

So by mentioning a unique constraint SQL Server creates 2 objects
1. A Non Clustered Index (Index Description – nonclustered, unique, unique key located on PRIMARY)
2. A Constraint (Constraint_ type – UNIQUE (non-clustered))

Please note both index and constraint are of type NonClustered. Check out the constraint type and index description for details. Now let’s execute the below query and see what error we will get and the object mentioned in there.

--

INSERT INTO testDuplicateIndexesConstraint(ID,NAME) VALUES (1,'Pawan'),(2,'Pawan')

--

Output

Msg 2627, Level 14, State 1, Line 30
Violation of UNIQUE KEY constraint ‘Ak_Name’. Cannot insert duplicate key in object ‘dbo.testDuplicateIndexesConstraint’. The duplicate key value is (Pawan). The statement has been terminated.

Now the message we are getting is that we cannot insert duplicate values in Unique key constraint which we mentioned while creating the table. Here It does not provide us any information about the nonclustered index we have.

CASE 3 –Duplicate Insertion in Column having Unique Clustered Index

--

CREATE TABLE testDuplicateIndexes
(
	 ID INT
	,NAME VARCHAR(10)
)
GO

CREATE UNIQUE CLUSTERED INDEX Ix_ID ON testDuplicateIndexes(ID)
GO

--

Now check what indexes and constraints created on our table.

EXEC sp_helpindex ‘testDuplicateIndexes’
EXEC sp_helpconstraint ‘testDuplicateIndexes’;

Pawan Kumar Khowal - Duplicate Insertion in Column having Unique Clustered Index

Pawan Kumar Khowal – Duplicate Insertion in Column having Unique Clustered Index

Okay, in this SQL Server only creates a unique clustered index. Now let’s execute the below statement and see what error we will get.

--

INSERT INTO testDuplicateIndexes(ID,NAME) VALUES (1,'Pawan')
,(2,'Avika')
,(1,'Aisha')

--

Output

Msg 2601, Level 14, State 1, Line 13
Cannot insert duplicate key row in object ‘dbo.testDuplicateIndexes’ with unique index ‘Ix_ID’. The duplicate key value is (1). The statement has been terminated.

In this case it is saying that it cannot insert duplicate values with index Ix_Id. Here it is using clustered index to handle duplicate values. There are not constraints involved here.

So far we have seen cases where indexes or constraints are used to restrict the insertion of duplicate values. Now let’s see cases where we can successfully insert the duplicate values and how SQL Server handles duplicate values in an index

CASE 4 –Duplicate Insertion in Column having Non-Unique Clustered Index

Here we are creating a simple table with 2 columns. Only point to be noted here is we have mentioned non unique clustered index on ID column.

--

CREATE TABLE testDuplicateIndexesNonUnique
(
	 ID INT
	,NAME VARCHAR(10)
)
GO

CREATE CLUSTERED INDEX Ix_ID ON testDuplicateIndexesNonUnique(ID)
GO

--

Now check what indexes and constraints created on our table.

--

EXEC sp_helpindex 'testDuplicateIndexesNonUnique'
EXEC sp_helpconstraint 'testDuplicateIndexesNonUnique';

--
Pawan Kumar Khowal - Duplicate Insertion in Column having Non-Unique Clustered Index

Pawan Kumar Khowal – Duplicate Insertion in Column having Non-Unique Clustered Index

In this case SQL Server only creates a non-unique clustered index. Now let’s see if we can insert duplicate values or not.

--

INSERT INTO testDuplicateIndexesNonUnique(ID,NAME) VALUES (1,'Pawan'),(2,'Avika'),(1,'Aisha')

--
Pawan Kumar Khowal - Duplicate Insertion in Column having Non-Unique Clustered Index

Pawan Kumar Khowal – Duplicate Insertion in Column having Non-Unique Clustered Index

It allows us to insert duplicate values. Now the question is how SQL Server internally handles this.

Okay so the point to be noted here is that we can create a clustered index on columns that contains duplicate values. Clustered index in this case should be Non Unique in this case. Now in this case SQL Server internally adds a four digit unique identifier after the column value to maintain the uniqueness internally.

Pawan Khowal - How SQL Server handles duplicate values in an Index

In the above example we have a non-unique clustered index on Name column. Now for example Manoj, For manoj we have 2 values. For the first value the data will be inserted as it is. For the second manoj value SQL internally adds a 4 digit like shown in the above example. So first value will be manoj and second value will be manoj7654. User will not be affected by this.

So internally it will increase the space taken by the index. Hence always try to create unique clustered indexes on less percentage of duplicate values.

Summary

If you create a PRIMARY KEY SQL Server internally creates 2 objects

  • A Unique Clustered Index (clustered, unique, primary key located on PRIMARY)
  • A Constraint – (PRIMARY KEY (clustered))
  • If you try to insert duplicate values this type of error will be thrown – Violation of PRIMARY KEY constraint

If you create Unique Constraint SQL Server internally creates 2 objects

  • A non clustered index – (Index Description – nonclustered, unique, unique key located on PRIMARY)
  • A Constraint (Constraint_ type – UNIQUE (non-clustered))
  • If you try to insert duplicate values this type of error will be thrown – Violation of UNIQUE KEY constraint

If you create a Unique Clustered Index SQL Server internally create single object

  • If you try to insert duplicate values this type of error will be thrown – Cannot insert duplicate key row in object ‘dbo.testDuplicateIndexes’ with unique index ‘Ix_ID’

If you create a NON-Unique Clustered Index SQL Server internally create single object

  • Here duplicate and non duplicate data will be inserted successfully. SQL Server here internally add a 4 digit integer value to the original value to maintain uniqueness, but this will increase the index size.

I hope you have enjoyed the article. Thanks for reading

-Pawan Khowal

MSBISkills.com

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