In this post, I will tell you about how to return more than one table from store procedure in SQL Server 2014. Return a single table full of data from store procedure we are able to use a DataTable however to come back multiple tables from store procedure we've got to use DataSet. DataSet could be a bunch of DataTables. so the following code you'll use to return single table. SqlCommand

cmd = new SqlCommand("sp_Login", con);
cmd.CommandType = CommandType.StoredProcedure;
cmd.Parameters.Add("@Email", SqlDbType.NVarChar).Value = email;
cmd.Parameters.Add("@Password", SqlDbType.NVarChar).Value = password;
cmd.Connection = con;
if (con.State == ConnectionState.Closed)
{
   con.Open();
}
SqlDataReader dr = cmd.ExecuteReader();
DataTable dt = new DataTable();
dt.Load(dr);
return dt;

Now write the store procedure like the following code:
CREATE PROCEDURE sp_Test
    @Email nvarchar(255)
AS
BEGIN
    SET NOCOUNT ON;
    select * from <tblName> whhere email = @Email
END

And then, It’s time to found how to get multiple table value in one DataSet. Write the code below:
CREATE PROCEDURE sp_Test
AS
BEGIN   
    SET NOCOUNT ON;
    select * from Tbl1
    select * from Tbl2
    select * from Tbl3
    select * from Tbl4
END

And here is the C# code:
SqlCommand cmd = new SqlCommand("sp_test", con);
cmd.CommandType = CommandType.StoredProcedure;
cmd.Connection = con;
if (con.State == ConnectionState.Closed)
{   
con.Open();
}
SqlDataAdapter sda = new SqlDataAdapter(cmd);
DataSet ds = new DataSet();
sda.Fill(ds);
con.Close();
// Retrieving total stored tables from DataSet.             
DataTable dt1 = ds.Tables[0];
DataTable dt1 = ds.Tables[1];
DataTable dt1 = ds.Tables[2];
DataTable dt1 = ds.Tables[3];

I hope it works for you!

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In this tutorial, I will show you how to use extended events to identify page splits in SQL Server. The easiest way to track if page splits are happening in SQL Server is to use the PerfMon Counters. For the records you can start from  “SQL Server: Access Methods -> Page Splits/sec”. This counter is quite handy to understand if this behavior happens in our SQL Server instance.

Step 1

Let us first create a database for our experiment. We will also create our Extended Event to track the PageSplits.

-- Create a dummy database
CREATE DATABASE PageSplits
GO
-- Get the DB ID, we will use it in next step
SELECT DB_ID('PageSplits')
GO
-- Create Session
CREATE EVENT SESSION [Catch_PageSplit] ON SERVER
ADD EVENT sqlserver.page_split(
WHERE ([package0].[equal_uint64]([database_id],(10))))  -- NOTE: Please make sure you change the DATABASE_ID
ADD TARGET package0.ring_buffer
WITH (MAX_MEMORY=4096 KB,EVENT_RETENTION_MODE=ALLOW_SINGLE_EVENT_LOSS,
MAX_DISPATCH_LATENCY=30 SECONDS,MAX_EVENT_SIZE=0 KB,
MEMORY_PARTITION_MODE=NONE,TRACK_CAUSALITY=OFF)
GO
-- Start the event session
ALTER EVENT SESSION [Catch_PageSplit] ON SERVER
STATE = start;
GO

Step 2

Before we get to the next step, let us start monitoring our Extended Events for any possible page splits.

USE PageSplits
GO
CREATE TABLE mytest (
myCompany CHAR(5) NOT NULL CONSTRAINT pk_mytest PRIMARY KEY CLUSTERED,
FillData VARCHAR(3000) NOT NULL
)
GO
INSERT mytest ( myCompany, FillData )
VALUES( '00001', REPLICATE( 'A', 3000 ) ),
( '00002', REPLICATE( 'B', 1000 ) ),
( '00003', REPLICATE( 'C', 3000 ) ),
( '00004', REPLICATE( 'A', 3000 ) ),
( '00005', REPLICATE( 'B', 1000 ) ),
( '00006', REPLICATE( 'C', 3000 ) ),
( '00007', REPLICATE( 'A', 3000 ) ),
( '00008', REPLICATE( 'B', 1000 ) ),
( '00009', REPLICATE( 'C', 3000 ) )
GO

Step 3

Next step is to create a table with some values. Later we will use this to create a page split scenario:

Step 4

Then, create the scenario of page split by updating a row with some extra data.

-- Update to introduce a page split
UPDATE mytest
SET FillData = REPLICATE( 'B', 3000)
WHERE myCompany = '00002'
GO

Don’t forget to look at the Live Data feed for entries. If the Page Split happen you will see something like:

As you can see, this Page Split has happened because of an Update. The two pages under question are also shown. We can also see the database ID under question that caused the page split.

Step 5

Now that we learnt something new here, let us clean up the database we just created using this code:
-- Clean up time
USE MASTER
GO
DROP DATABASE PageSplits
GO
DROP EVENT SESSION [Catch_PageSplit] ON SERVER
GO

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Here during this example I'll show you the way to execute a task or call a store procedure at a specific time(like at midnight) using SQL Server or I will say the way to schedule a job at a specific time. Sometimes you have got to perform something daily, weekly or at a selected gap of your time. Repeat a similar task when by a person is little bit difficult. So, in this case SQL is here to solve your problem using SQL Job scheduler. This is often a task you fixed in your server, set timer on at particular time and write down the SQL query to perform. That is all you have got to do. Let’s see the way to schedule your Job at a selected time.

Open your Management Studio and check the SQL Server Agent. Begin the SQL Server Agent by following steps.

Next step, go to Job section in your SQL Server Agent and select New Job, shown on the below picture:

After choosing the New Job, a new window will be opened with all the properties of a New Job. Now it’s time to fill up each and every field according to your specification. In the General tabs write down any name according to your project and left the others as it is.

Now, in the “Steps”, click on the New button, and a new window will be opened as shown on the following picture:

Write a name for your step and your query to be executed and select on the OK button.

Now, in the Schedule tab follow the steps as the following image:

The only thing is left is to start your job. To start the job follow this steps.

After successfully starting of the job you will get a successful alert message shown on the following picture:

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Here I am going to share how can you take the database backup of all the SQL Server databases at once instead of taking it individually.

First, you need to create a folder in any drive to store the backup of database which you are going to take. For example, you have to create a folder named "dbBackup" in my drive "C:\"

Then, copy the below code & paste it in your SQL Server Query Executer page:

    DECLARE @DBName varchar(255)
    DECLARE @DATABASES_Fetch int
    DECLARE DATABASES_CURSOR CURSOR FOR
        select
            DATABASE_NAME   = db_name(s_mf.database_id)
        from
            sys.master_files s_mf
        where
           -- ONLINE
            s_mf.state = 0

           -- Only look at databases to which we have access
        and has_dbaccess(db_name(s_mf.database_id)) = 1

            -- Not master, tempdb or model
        and db_name(s_mf.database_id) not in ('Master','tempdb','model')
        group by s_mf.database_id
        order by 1

    OPEN DATABASES_CURSOR

    FETCH NEXT FROM DATABASES_CURSOR INTO @DBName

    WHILE @@FETCH_STATUS = 0
    BEGIN
        declare @DBFileName varchar(256)   
        set @DBFileName = datename(dw, getdate()) + ' - ' +
                           replace(replace(@DBName,':','_'),'\','_')

        exec ('BACKUP DATABASE [' + @DBName + '] TO  DISK = N''c:\dbBackup\' +
            @DBFileName + '.bak' + ''' WITH NOFORMAT, INIT,  NAME = N''' +
            @DBName + '-Full Database Backup'', SKIP, NOREWIND, NOUNLOAD,  STATS = 100')

        FETCH NEXT FROM DATABASES_CURSOR INTO @DBName
    END

    CLOSE DATABASES_CURSOR
    DEALLOCATE DATABASES_CURSOR

Now execute the page and check your Folder "dbBackup" in Drive "C:/" . You will find all the databases backup in it.

Now, you are done! Simple, right?

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In this tutorial, I'm gonna tell you about inserting large amount of random data into sql server tables for performance testing. 

Just follow these step to create a large table with random data for performance testing:

Step 1

If Table exists drop the tables:

If (Exists (select *
            from information_schema.tables
            where table_name = 'tblProductSales'))
Begin
 Drop Table tblProductSales
End

If (Exists (select *
            from information_schema.tables
            where table_name = 'tblProducts'))
Begin
 Drop Table tblProducts
End

Step 2

Then you can recreate the tables:

Create Table tblProducts
(
 [Id] int identity primary key,
 [Name] nvarchar(50),
 [Description] nvarchar(250)
)

Create Table tblProductSales
(
 Id int primary key identity,
 ProductId int foreign key references tblProducts(Id),
 UnitPrice int,
 QuantitySold int
)

Step 3

Insert Sample data into tblProducts table

Declare @Id int
Set @Id = 1

While(@Id <= 300000)
Begin
 Insert into tblProducts values('Product - ' + CAST(@Id as nvarchar(20)),
 'Product - ' + CAST(@Id as nvarchar(20)) + ' Description')
 
 Print @Id
 Set @Id = @Id + 1
End

Step 4

Declare variables to hold a random ProductId, UnitPrice and QuantitySold

declare @RandomProductId int
declare @RandomUnitPrice int
declare @RandomQuantitySold int

Declare and set variables to generate a random ProductId between 1 and 100000

declare @UpperLimitForProductId int
declare @LowerLimitForProductId int

set @LowerLimitForProductId = 1
set @UpperLimitForProductId = 100000

Declare and set variables to generate a random UnitPrice between 1 and 100

declare @UpperLimitForUnitPrice int
declare @LowerLimitForUnitPrice int

set @LowerLimitForUnitPrice = 1
set @UpperLimitForUnitPrice = 100

Declare and set variables to generate a random QuantitySold between 1 and 10

declare @UpperLimitForQuantitySold int
declare @LowerLimitForQuantitySold int

set @LowerLimitForQuantitySold = 1
set @UpperLimitForQuantitySold = 10

Step 5

Now, you have to insert Sample data into tblProductSales table

Declare @Counter int
Set @Counter = 1

While(@Counter <= 450000)
Begin
 select @RandomProductId = Round(((@UpperLimitForProductId - @LowerLimitForProductId) * Rand() + @LowerLimitForProductId), 0)
 select @RandomUnitPrice = Round(((@UpperLimitForUnitPrice - @LowerLimitForUnitPrice) * Rand() + @LowerLimitForUnitPrice), 0)
 select @RandomQuantitySold = Round(((@UpperLimitForQuantitySold - @LowerLimitForQuantitySold) * Rand() + @LowerLimitForQuantitySold), 0)
 
 Insert into tblProductsales
 values(@RandomProductId, @RandomUnitPrice, @RandomQuantitySold)

 Print @Counter
 Set @Counter = @Counter + 1
End

Step 6

Finally, check the data in the tables using a simple SELECT query to make sure the data has been inserted as expected.
Select * from tblProducts
Select * from tblProductSales

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In this post, let me explain about How to List Out SQL Logins and Database User Mappings.

You can use system stored procedure sp_msloginmappings to list out the SQL logins and database user mappings. And here is the syntax:
sp_msloginmappings @Loginname , @Flags

@Loginname – Optional argument, in case if you not specify the Login name procedure will return the result for all the SQL Server logins
@Flags – You can specify value 0 or 1, 0 value will show user mapping to all databases and 1 will show the user mapping to current database only. Default value is 0
use master
go
exec sp_msloginmappings 'sa', 0

use master
go
exec sp_msloginmappings 'sa', 1

If you want to run the sp_msloginmappings across multiple SQL Instance using either Central management server or Powershell, write the following script:
create table #loginmappings( 
 LoginName  nvarchar(128) NULL, 
 DBName     nvarchar(128) NULL, 
 UserName   nvarchar(128) NULL, 
 AliasName  nvarchar(128) NULL
)   
insert into #loginmappings
EXEC master..sp_msloginmappings
select * from #loginmappings
 drop table #loginmappings

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Indexes play an important role in SQL Server performance. Coins always have two sides, just like a well-designed index can improve query performance and an incorrect index can impact query performance. So it is important to find which indexes are not being used. It helps us to reduce storage and reduce the overhead of the database engine to maintain unused indexes. But how can we find indexes that are not being used? In this article, I'm gonna tell you how to identify unused indexes in SQL Server.

The absence of an index can result in table or index scans that reduce performance in some case and also too many indexes require extra storage and extra effort to maintain the database and it might slow down insert / update operations. One of the approaches to improve the overall performance is keep used indexes but drop all unused indexes.

"dm_db_index_physical_stats" is a dynamic management view related to index statistics. This view gives information about indexes used or unused, it complete or missing some columns is irrelevant. This dynamic view has many important columns like user_seeks (number of seeks by user queries), user_scans (number of scans by user queries), user_lookups (number of bookmark lookups by user queries) and a combination of these three columns provide us a total read count. The column user updates (number of updates by user queries) indicates the level of maintenance on the index caused by insert / update / delete operations on the table or view. A proper join among these DVM and system tables such as indexes, objects and schemas enable us to list all unused indexes for a single database.

The following query helps us to find unused indexes in our database:

    SELECT  
    o.name AS TableName, 
    i.name AS Indexname, 
    i.is_primary_key AS PrimaryKey, 
    s.user_seeks + s.user_scans + s.user_lookups AS NumOfReads, 
    s.user_updates AS NumOfWrites, 
    (SELECT SUM(p.rows) FROM sys.partitions p WHERE p.index_id = s.index_id AND s.object_id = p.object_id) AS TableRows, 
    'DROP INDEX ' + QUOTENAME(i.name) + ' ON ' + QUOTENAME(c.name) + '.' + QUOTENAME(OBJECT_NAME(s.object_id)) AS 'DropStatement' 
    FROM sys.dm_db_index_usage_stats s  
    INNER JOIN sys.indexes i ON i.index_id = s.index_id AND s.object_id = i.object_id  
    INNER JOIN sys.objects o ON s.object_id = o.object_id 
    INNER JOIN sys.schemAS c ON o.schema_id = c.schema_id 
    WHERE OBJECTPROPERTY(s.object_id,'IsUserTable') = 1 
    AND s.databASe_id = DB_ID()  
    AND i.type_desc = 'NONCLUSTERED' 
    AND i.is_primary_key = 0 
    AND i.is_unique_constraint = 0 

The preceding query includes the following helpful information.

•     Table name
•     Index name
•     Primary key
•     Number of read count
•     Number of writes
•     Total number of rows
•     Drop statement

The following  is the output of the preceding query:

After running the preceding query for the database it will list all the non-clustered indexes for all tables. Now we can determine the unused indexes by comparing the number of reads applied to an index with the number of writes. If we have a number of reads (NumOfReads column in the preceding query) then the indexes are not being used.

Base on the query result and application knowledge, we may decide which index needs to be dropped and the last column of the query contains a drop index statement.

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Today, I will show you how to upload excel file, read Excel file data,  save Excel file data & import into SQL Server using SQLBULK in ASP.NET.

First step, you must create the excel file. And then create a SQL table in database like the following picture:

Next step, add the code in "Default.aspx"

<asp:FileUpload ID="fupUpload" runat="server" />
<asp:Button ID="btnImport" Font-Bold="true" ForeColor="White"
BackColor="#136671" Height="23px" runat="server" Text="Import Excel Data"
onclick="btnImport_Click" />

Now, write the following code in "Default.aspx.cs"
Add these NameSpace
using System.IO;
using System.Data.OleDb;
using System.Data;

Write the code in Click Event of Import Button:
protected void btnImport_Click(object sender, EventArgs e)
{
 string strFilepPath;
 DataSet ds = new DataSet();
 string strConnection = ConfigurationManager.ConnectionStrings
                          ["connectionString"].ConnectionString;
 if (fupUpload.HasFile)
 {
  try
  {
    FileInfo fi = new FileInfo(fupUpload.PostedFile.FileName);
    string ext = fi.Extension;
    if (ext == ".xls" || ext == ".xlsx")
    {
     string filename = Path.GetFullPath(fupUpload.PostedFile.FileName);
     string DirectoryPath = Server.MapPath("~/UploadExcelFile//");
     strFilepPath = DirectoryPath + fupUpload.FileName;     
     Directory.CreateDirectory(DirectoryPath);
     fupUpload.SaveAs(strFilepPath);  
     string strConn = @"Provider=Microsoft.ACE.OLEDB.12.0;Data Source="
                      + strFilepPath + ";Extended Properties=\"Excel 12.0
                      Xml;HDR=YES;IMEX=1\"";
     OleDbConnection conn = new OleDbConnection(strConn);
     conn.Open();    
     OleDbCommand cmd = new OleDbCommand("SELECT * FROM [Sheet1$]", conn);
     OleDbDataAdapter da = new OleDbDataAdapter(cmd);
     da.Fill(ds);
     DeleteExcelFile(fupUpload.FileName); // Delete File Log
     SqlBulkCopy sqlBulk = new SqlBulkCopy(strConnection,
                                   SqlBulkCopyOptions.KeepIdentity);
     sqlBulk.DestinationTableName = "Table_1";
     sqlBulk.WriteToServer(ds.Tables[0]);
     conn.Close();
     sqlBulk.Close();     
     ScriptManager.RegisterStartupScript(Page, GetType(), "script1", 
        "alert('Excel file successfully imported into DB');", true);
     return;
    }    
    else
    {
      ScriptManager.RegisterStartupScript(Page, GetType(), "script1",  
                    "alert('Please upload excel file only');", true);
     return;
    }
  }  
  catch (Exception ex)
   {
    DeleteExcelFile(fupUpload.FileName);      
    ScriptManager.RegisterStartupScript(Page, GetType(), "script1",  
      "alert('error occured: " + ex.Message.ToString() + "');", true);
    return;
   }
  } 
 else
  {
    ScriptManager.RegisterStartupScript(Page, GetType(), "script1",  
                        "alert('Please upload excel file');", true);
   return;
  }
}
protected void DeleteExcelFile(string Name)
{             
 if (Directory.Exists(Request.PhysicalApplicationPath +  
                                           "UploadExcelFile\\"))
   {     
    string[] logList = Directory.GetFiles(Request.PhysicalApplicationPath
                       + "UploadExcelFile\\", "*.xls");
     foreach (string log in logList)
      {        
        FileInfo logInfo = new FileInfo(log);
        string logInfoName = logInfo.Name.Substring(0, 
                             logInfo.Name.LastIndexOf('.'));
        if (logInfoName.Length >= Name.Length)
         {           
          if (Name.Equals(logInfoName.Substring(0, Name.Length)))
           {
             logInfo.Delete();
           }
         }
      }
   }
}

I hope it works for you! Good luck.

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You know that RAND() function in SQL Server generates a random float value 0 through 1 (excluding 0 and 1). In this article, I will show you how to generate different random number for each group using RAND() Function.

First, let's us create the following dataset:

CREATE TABLE #random(no INT)
INSERT INTO #random(no)
SELECT 1 UNION ALL
SELECT 1 UNION ALL
SELECT 1 UNION ALL
SELECT 2 UNION ALL
SELECT 3 UNION ALL
SELECT 3

If you want to generate a random value, you can use the following code:

SELECT no, RAND() AS random_number FROM #random

This code will result to:
no random_number
 1 0.370366365964781
 1 0.370366365964781
 1 0.370366365964781
 2 0.370366365964781
 3 0.370366365964781
 3 0.370366365964781

Please note that when you execute it , you may get different random number than what I got for column 2 but all will be same. What if you want to generate random number in such a way that it is reset to each column value (in this case the column is no)? Did you know that RAND() accepts a seed value as well?

If you execute the following code:

SELECT no, RAND() AS random_number,RAND(no) AS random_number_reset FROM #random

Then, it will comes to the result:
no random_number random_number_reset
 1 0.58334760467751 0.713591993212924
 1 0.58334760467751 0.713591993212924
 1 0.58334760467751 0.713591993212924
 2 0.58334760467751 0.713610626184182
 3 0.58334760467751 0.71362925915544
 3 0.58334760467751 0.71362925915544

Please note that when you execute it , you may get different random number than what I got for column2 2 and 3. If you notice the result the values of second column is same for all rows, whereas the values of third column is same withing a group (column no), and different across groups. So if you want to generate random number differently for each group, you can make use of this method.

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