Wednesday, December 28, 2016

SQLLOCALDB.exe

 
SQLLOCALDB is a utility to install the instance of SQL Server express LocalDB, it’s a command line tool which allow the developers to install and manage the instance of SQL Server express LocalDB
SqlLocalDB.exe have multiple arguments to pass i.e Create,Delete,Start, Stop etc.

Example:
sqlLocalDB.exe create "Organization" 
Above command will create the SQL server instance named Organization
 
for more details, please visit link

https://msdn.microsoft.com/en-us/library/hh212961.aspx

Monday, November 28, 2016

Tempdb Sizing

Many DBA’s Prefer to set 100-200 GB size for  database tempdb,  out of this space 90 % for data file(.mdf) and 10% for Log file(.ldf), this sizing help to prevent uncontrolled size growth & reduce contention.

Friday, October 14, 2016

MAX Value From Multiple Columns



CREATE TABLE #MAXCOLUMNVALUES
(ID INT IDENTITY(1,1)
,INFYSalary INT, WIPROSalary INT, SYNESalary INT, TCSSalary INT
)


INSERT INTO #MAXCOLUMNVALUES(InfySalary,WiproSalary,SyneSalary,TCSSalary) VALUES
(10000,20000,33000,25000),
(20000,55000,35000,45000),
(40000,24000,66000,50000),
(50000,51000,53000,77000),
(44000,32000,38000,30000)

SELECT * FROM #MAXCOLUMNVALUES
-- Select Max value from Multiple columns as column name MAXSalary

SELECT
*, (SELECT MAX(MaxSalary) FROM (VALUES (InfySalary),(WiproSalary),(SyneSalary),(TCSSalary)) AS Salary(MaxSalary)) AS MAXSalary
 FROM #MAXCOLUMNVALUES


Thursday, September 8, 2016

QUERY TO GET REVERSE DUPLICATE


Create Table with Reverse Duplicate Data

CREATE TABLE GETREVERSEDUPLICATE
(COL1 VARCHAR(10),COL2 VARCHAR(10) ,COL3 INT)

INSERT INTO GETREVERSEDUPLICATE
SELECT 'A','B',10
UNION
SELECT 'C','D',20
UNION
SELECT 'B','A',10
UNION
SELECT 'D','C',20



SELECT * FROM GETREVERSEDUPLICATE
OUTPUT:
COL1 COL2 COL3
A B 10
B A 10
C D 20
D C 20

GET REVERSE DUPLICATE WITH EXPECTED OUTPUT
EXPECTED RESULT:
COL1 COL2 COL3
B A 10
D C 20



Query:
SELECT * FROM GETREVERSEDUPLICATE T
 WHERE Col1 > Col2
       AND EXISTS (
                   SELECT *
                     FROM GETREVERSEDUPLICATE  AS T1
                    WHERE T1.Col1 = T.Col2
                          AND T1.Col2 = T.Col1
                  );

OUTPUT:
COL1 COL2 COL3
B A 10
D C 20


Please try in Test environment only.



Thursday, August 4, 2016

SQL Server Logins vs Database Users




SQL Server Login is used to Access SQL Server means for Authentication but Database users
are specific to a database to perform database operation based on database role membership and the permission under the tab securables means for Authorization.



After creation of login named SQLLogin as per above figure it will create the user in database Capital with user name SQLLogin with default schema [dbo]
SQL script for SQL Login as per above figure.
CREATE LOGIN [SQLLogin] WITH PASSWORD='random encrypted password', DEFAULT_DATABASE=[master],
DEFAULT_LANGUAGE=[us_english], CHECK_EXPIRATION=OFF, CHECK_POLICY=OFF
GO



We can see in above image SQLLogin is marked as user in database Capital thus it will
Create database user in database Capital using below SQL Script.

CREATE USER [SQLLogin] FOR LOGIN [SQLLogin] WITH DEFAULT_SCHEMA=[dbo]

Once SQL server login and respective database user is created we cannot delete the SQL Server logins if said SQL Login is used to access the SQL Server or database user is still associated with said SQL Login.
Database Role members.


We can create Database user with different types, shown in below figure



As per above image from securables tab we can give required permissions/authorization to database users for database objects (tables/view/sp’s etc.)
SQL Script to create user without SQL Login:
CREATE USER [sqlwologin] WITHOUT LOGIN WITH DEFAULT_SCHEMA=[dbo]



Tuesday, April 5, 2016

TableDiff.exe Utility

Tablediff.exe  command line utility
SQL server has command line utility tablediff.exe, using this we can easily compare source and destination tables. This is generally used in replication topology.
We can use it from command prompt or by using batch file.
We can perform following
1.       Row by row comparison
2.       Row count or schema comparison
3.       Column level comparison
4.       Generate t-SQL script to have data in sync with source and destination
5.       Log comparison output into file or in destination database table.
Utility required list of parameters but some rudimentary parameters are below
1.       -sourceserver 
2.       -sourcedatabase 
3.       -sourcetable
4.       -destinationserver 
5.       -destinationdatabase 
6.       -destinationtable 
Let us create tables for source and destination comparison
Source Table:
CREATE TABLE TableDiffSource
(TDID INT PRIMARY KEY, TDDescription VARCHAR(100))

INSERT INTO TableDiffSource
SELECT 1,'A'
UNION
SELECT 2,'B'
UNION
Select 4,'D'

Destination Table:
CREATE TABLE TableDiffDestination
(TDID INT PRIMARY KEY, TDDescription VARCHAR(100))

INSERT INTO TableDiffDestination
SELECT 1,'A'
UNION
SELECT 2,'B'
UNION
SELECT 3,'C'

Open the command prompt and execute below command by changing your Server & Database names.
In command I have used. 
SourceServcer: SQLSourceServerName & SourceDatabase= Capital
DestinationServer= SQLDestinationServerName & DestinationDatabase=  Capital

C:\Program Files\Microsoft SQL Server\120\COM>tablediff.exe -sourceserver SQLSourceServerName -sourcedatabase Capital -sourcetable tablediffsource -destinationserver
 SQLDestinationServerName -destinationdatabase Capital -destinationtable tablediffdestinat
ion -et tableDiffoutput

It will look like below after execution of tablediff.exe utility, in image i have hidden soruceserver & destinationServer names, please change them as per your SQL Server details














Let us check the difference, in output table
select * FROM tablediffoutput
output
TDID
MSdifftool_ErrorCode
MSdifftool_ErrorDescription
my Comments
3
1
Dest. Only
Present in Destination but not in source table
4
2
Src. Only
Present in source but not in destination table

Note: in above output, column myComments I have added for more clarification marked in color olive green.

for more details, please visit below link .

https://msdn.microsoft.com/en-IN/library/ms162843.aspx


Thursday, February 4, 2016

Memo Structure in SQL Server

Query optimizer generate alternate execution plans through transformation rules for optimal plan, these alternate execution plans are stored in a structure called MEMO for the duration of optimization process.
MEMO provides efficient way to store alternate plan through groups, each group in memo initially contain one entry.

Optimizer initially copy the query tree logical expression in memo structure based on the operator it copies into equivalent groups and optimization process start through transformation.

Transformation process starts from initial logical expression and generate alternative plan, if required it add new logical expression and generate new group and new alternative plan and adding them to equivalent group.



We have some undocumented trace flag which help us to see the memo structure, please do not try these in production environment.

Scenarios/Examples in test environment only:
 CREATE TABLE TempMemo
( id INT )

CREATE TABLE TempMemo1
( id INT )


INSERT INTO TempMemo
SELECT 1
UNION
SELECT 2

INSERT INTO TempMemo1
SELECT 1
UNION
SELECT 3


-- Check the data in tables
SELECT *  FROM   TempMemo1
SELECT *  FROM   TempMemo

-- start trace flag 3604 to return output info to client
DBCC traceon(3604);

-- clear buffer/cache
DBCC freeproccache
DBCC dropcleanbuffers


-- Start Trace flag 8608, which will show Initial memo strucute, marked in color Yellow
SELECT     *
FROM       TempMemo tm  INNER JOIN TempMemo tm1
       ON         tm.id =tm1.id
OPTION(QueryTraceON 8608);

/*
--- Initial Memo Structure ---

Root Group 5: Card=2 (Max=1e+008, Min=0)

   0 LogOp_Join 3 4 2 (Distance = 0)



Group 4: Card=2 (Max=10000, Min=0)

   0 LogOp_Get (Distance = 0)



Group 3: Card=2 (Max=10000, Min=0)

   0 LogOp_Get (Distance = 0)



Group 2:
   0 ScaOp_Comp  0 1 (Distance = 0)



Group 1:
   0 ScaOp_Identifier  (Distance = 0)



Group 0:
   0 ScaOp_Identifier  (Distance = 0)



------------------------------


(2 row(s) affected)

*/


DBCC freeproccache
DBCC dropcleanbuffers

-- Start Trace flag 8615, which will show Final memo strucute, marked in color Green
SELECT     * FROM       TempMemo tm
       INNER JOIN TempMemo tm1 ON         tm.id =tm1.id
OPTION (QueryTraceON 8615);

/*
--- Final Memo Structure ---

Group 7: Card=2 (Max=10000, Min=0)

   1 PhyOp_Range 0 ASC   Cost(RowGoal 0,ReW 0,ReB 0,Dist 0,Total 0)= 0.0032842(Distance = 2)


   0 LogOp_GetIdx (Distance = 1)



Group 6: Card=2 (Max=10000, Min=0)

   1 PhyOp_Range 0 ASC   Cost(RowGoal 0,ReW 0,ReB 0,Dist 0,Total 0)= 0.0032842(Distance = 2)


   0 LogOp_GetIdx (Distance = 1)



Root Group 5: Card=2 (Max=1e+008, Min=0)

   3 PhyOp_HashJoinx_jtInner 4.2 3.2 2.0  Cost(RowGoal 0,ReW 0,ReB 0,Dist 0,Total 0)= 0.0243645(Distance = 2)


   1 LogOp_Join 4 3 2 (Distance = 1)


   0 LogOp_Join 3 4 2 (Distance = 0)



Group 4: Card=2 (Max=10000, Min=0)

   6 PhyOp_Sort 4.2  Cost(RowGoal 0,ReW 0,ReB 0,Dist 0,Total 0)= 0.0146486(Distance = 0)


   2 PhyOp_Range 0 ASC   Cost(RowGoal 0,ReW 0,ReB 0,Dist 0,Total 0)= 0.0032842(Distance = 1)


   0 LogOp_Get (Distance = 0)



Group 3: Card=2 (Max=10000, Min=0)

   4 PhyOp_Sort 3.2  Cost(RowGoal 0,ReW 0,ReB 0,Dist 0,Total 0)= 0.0146486(Distance = 0)


   2 PhyOp_Range 0 ASC   Cost(RowGoal 0,ReW 0,ReB 0,Dist 0,Total 0)= 0.0032842(Distance = 1)


   0 LogOp_Get (Distance = 0)



Group 2:
   0 ScaOp_Comp  0.0 1.0  Cost(RowGoal 0,ReW 0,ReB 0,Dist 0,Total 0)= 3(Distance = 0)



Group 1:
   0 ScaOp_Identifier   Cost(RowGoal 0,ReW 0,ReB 0,Dist 0,Total 0)= 1(Distance = 0)



Group 0:
   0 ScaOp_Identifier   Cost(RowGoal 0,ReW 0,ReB 0,Dist 0,Total 0)= 1(Distance = 0)



----------------------------

DBCC execution completed. If DBCC printed error messages, contact your system administrator.
DBCC execution completed. If DBCC printed error messages, contact your system administrator.

(2 row(s) affected)

*/



Wednesday, January 27, 2016

HASHING & HASH COLLISSION in SQL SERVER

HASHING:
Hashing is the mechanism/algorithm to generate hash key values for provided inputs, there is different SQL server algorithms/in build functions to generate hash values.
HASHBYTES is the function to generate hash values using algorithms (MD2 | MD4 | MD5 | SHA | SHA1 | SHA2_256 | SHA2_512)
 
We also use CHECKSUM & BINARY_CHECKSUM to generate hash values.

 

HASH COLLISSION:  When hashing mechanism generate same Hash values for not very similar inputs.

Execute below queries for examples and watch result marked in particular fashion.
Examples:
DECLARE @V Varchar(88) ='AAADB'
DECLARE @V1 Varchar(88) = 'AAAAAAAAAAAAAAAAAAADB'
SELECT CHECKSUM(@V) AS HashValue,@V AS InputString
UNION ALL
SELECT CHECKSUM(@V1) AS HashValue,@V1 AS ChangedInputString

SET @V = 'DBAAADB'
SET @V1 = 'DBAAAAAAAAAAAAAAAAAAADB'
SELECT  CHECKSUM(@V) AS CHECKSUM_HashValue, @V AS  InputString
UNION ALL
SELECT  CHECKSUM(@V1) AS CHECKSUM_HashValue, @V1 AS ChangedInputString

SET @V = 'DBAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADB'
SET @V1 = 'DBAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADB'

SELECT  HASHBYTES('SHA', @V) AS SHA_HASHBYTES_HashValue, @V AS InputString
UNION ALL
SELECT  HASHBYTES('SHA', @V1) AS SHA_HASHBYTES_HashValue, @V1 AS ChangedInputString

SELECT  HASHBYTES('SHA1', @V) AS SHA1_HASHBYTES_HashValue, @V AS InputString
UNION ALL
SELECT  HASHBYTES('SHA1', @V1) AS SHA1_HASHBYTES_HashValue, @V1 AS ChangedInputString

SELECT HASHBYTES('SHA2_256', @V) AS SHA2_HASHBYTES_HashValue, @V AS InputString
UNION ALL
SELECT HASHBYTES('SHA2_256', @V1) AS SHA2_HASHBYTES_HashValue, @V1 AS ChangedInputString

SELECT HASHBYTES('SHA2_512', @V) AS SHA2_512_HASHBYTES_HashValue, @V AS InputString
UNION ALL
SELECT HASHBYTES('SHA2_512', @V1) AS SHA2_512_HASHBYTES_HashValue , @V1 AS ChangedInputString 

Queries Output:

From above result set it is very much clear hashing functions/algorithms generate same hash values for different input strings which result to hash collision.