Now, I will guide you how to check last accessed and modified table data in SQL Data. And here is the script that I use:

/*************************************************/
SELECT OBJECT_NAME(OBJECT_ID) AS [Object_Name], last_user_update,last_user_scan  ,*
FROM sys.dm_db_index_usage_stats
WHERE database_id = DB_ID( 'Access') AND OBJECT_ID=OBJECT_ID('test')
/*************************************************/

--Note: This will return null if sql server restarted and after that data is not accessed

         Demo:
/**** Create New Database ****/
Create Database Access
GO
use Access
GO
/**** Create Table ****/
Create Table test (id int , name varchar (100))
GO
/**** Insert New Record ****/
Insert into test values (1,'saurabh')
Insert into test values (2,'Sumit')
GO
/**** After insertion Check Stats ****/
SELECT OBJECT_NAME(OBJECT_ID) AS [Object_Name], last_user_update,last_user_scan  ,*
FROM sys.dm_db_index_usage_stats WHERE database_id = DB_ID( 'Access') AND OBJECT_ID=OBJECT_ID('test')

Object_Name   last_user_update                  last_user_scan
test               2015-10-29 08:39:54.100           NULL

Here last user scan is null because we are just inserted data, If we read data then we'll get read time also
So now we are going to read data and see if we get last user scan. Now, write the following code:

Select * from access.dbo.test
GO
/**** Checking Stats ****/
SELECT OBJECT_NAME(OBJECT_ID) AS [Object_Name], last_user_update,last_user_scan  ,*
FROM sys.dm_db_index_usage_stats WHERE database_id = DB_ID( 'Access') AND OBJECT_ID=OBJECT_ID('test')

So here we just updated table , didnt read. You can see the result on the following picture:

Similarly if we want to see how current indexes are performing on table we can see user scan , user seek or look ups.

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Maybe you were recently doing a clean up of your website database, then you create some tables on your database but never adding any new rows to it. In this tutorial, I will tell you how to detect empty row in a table on SQL Server database.

Here's a simple query to list all empty rows in tables in your SQL Server database using a Dynamic Management View called dm_db_partition_stats. This will return page and row-count information for every partition in the current database:

;WITH EmptyRows AS
(
   SELECT SUM(row_count) AS [TotalRows],
          OBJECT_NAME(OBJECT_ID) AS TableName
   FROM sys.dm_db_partition_stats
   WHERE index_id = 0 OR index_id = 1
   GROUP BY OBJECT_ID
)
SELECT * FROM EmptyRows
WHERE [TotalRows] = 0

And here's the output:

Easy right?

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Today, let me show you How to Fix Subscription Inventory, Failed Subscriptions in SSRS Utility Reports. When delivering a SQL Server reporting Services (SSRS) solution with countless subscriptions, it's useful to conjointly include some utility reports regarding those subscriptions.

Here are a combine of queries you'll use against the ReportServer database (in this case, SQL Server 2014) to come up with some quick internal reports for an inventory of report subscriptions (who is receiving what, when, in what format, together with parameters?) and failed report subscriptions (what subscriptions have failed and why?), each with helpful info, timestamps and URL's.

Don't forget to alter the URL path's servername for these reports to reflect your own setup, keeping in mind that if you are using a named instance, the yourservername/Reports/ could look more like yourservername/Reports_instancename/.

Report Subscription Inventory:
This is an easy way to provide business users with an accurate and easy list of "who's getting what" that is pulled directly from the ReportServer metadata - it'll never be out of date and it's live.
SELECT Catalog.Name AS ReportName
,'http://yourservername/Reports/Pages/Report.aspx?ItemPath=' + Catalog.Path + '&SelectedTabId=PropertiesTab&SelectedSubTabId=SubscriptionsTab' AS ReportSubscriptionMgrUrl
,Subscriptions.Description AS SubscriptionDescription
,Subscriptions.LastStatus
,Subscriptions.LastRunTime
,'Next Run Date' = CASE next_run_date
WHEN 0 THEN null
ELSE
substring(convert(varchar(15),next_run_date),1,4) + '/' +
substring(convert(varchar(15),next_run_date),5,2) + '/' +
substring(convert(varchar(15),next_run_date),7,2)
END
, 'Next Run Time' = isnull(CASE len(next_run_time)
WHEN 3 THEN cast('00:0'
+ Left(right(next_run_time,3),1)
+':' + right(next_run_time,2) as char (8))
WHEN 4 THEN cast('00:'
+ Left(right(next_run_time,4),2)
+':' + right(next_run_time,2) as char (8))
WHEN 5 THEN cast('0' + Left(right(next_run_time,5),1)
+':' + Left(right(next_run_time,4),2)
+':' + right(next_run_time,2) as char (8))
WHEN 6 THEN cast(Left(right(next_run_time,6),2)
+':' + Left(right(next_run_time,4),2)
+':' + right(next_run_time,2) as char (8))
END,'NA')
 
,Subscriptions.Parameters
,ISNULL(
Convert(XML,[ExtensionSettings]).value('(//ParameterValue/Value[../Name="TO"])[1]','nvarchar(50)')
,Convert(XML,[ExtensionSettings]).value('(//ParameterValue/Value[../Name="PATH"])[1]','nvarchar(150)')
) as [To]
,
ISNULL(
 Convert(XML,[ExtensionSettings]).value('(//ParameterValue/Value[../Name="RenderFormat"])[1]','nvarchar(150)')
, Convert(XML,[ExtensionSettings]).value('(//ParameterValue/Value[../Name="RENDER_FORMAT"])[1]','nvarchar(150)')
) as [Render Format]
,Convert(XML,[ExtensionSettings]).value('(//ParameterValue/Value[../Name="Subject"])[1]','nvarchar(150)') as [Subject]
FROM [dbo].[ReportSchedule]
INNER JOIN [dbo].[Schedule]
ON ReportSchedule.ScheduleID = Schedule.ScheduleID
INNER JOIN [dbo].[Catalog]
ON ReportSchedule.ReportID = Catalog.ItemID
INNER JOIN [dbo].[Subscriptions]
ON ReportSchedule.SubscriptionID = Subscriptions.SubscriptionID
INNER JOIN [dbo].[Users]
ON Subscriptions.OwnerID = Users.UserID
INNER JOIN msdb.dbo.sysjobs J ON Convert(nvarchar(128),[ReportSchedule].ScheduleID) = J.name
INNER JOIN msdb.dbo.sysjobschedules JS ON J.job_id = JS.job_id

Report Subscription Failures:
Now, we allows the user to see if any subscriptions have failed most recently, for handling typical email or permissions errors, in the past 30 days. Because it uses the subscription's [laststatus] field (the same one you'll see in Report Manager), failures will drop off this report if they succeed again.
SELECT Catalog.Name AS ReportName
,'http://yourservername/Reports/Pages/Report.aspx?ItemPath=' + Catalog.Path + '&SelectedTabId=PropertiesTab&SelectedSubTabId=SubscriptionsTab' AS ReportSubscriptionMgrUrl
,Users.UserName AS SubscriptionOwner
,Subscriptions.Description AS SubscriptionDescription
,Subscriptions.LastStatus
,Subscriptions.LastRunTime
FROM [dbo].[ReportSchedule]
INNER JOIN [dbo].[Schedule]
ON ReportSchedule.ScheduleID = Schedule.ScheduleID
INNER JOIN [dbo].[Catalog]
ON ReportSchedule.ReportID = Catalog.ItemID
INNER JOIN [dbo].[Subscriptions]
ON ReportSchedule.SubscriptionID = Subscriptions.SubscriptionID
INNER JOIN [dbo].[Users]
ON Subscriptions.OwnerID = Users.UserID
WHERE ((Subscriptions.DataSettings IS NULL AND Subscriptions.LastStatus LIKE 'Failure%') -- handle standard subscription errors
OR (Subscriptions.DataSettings IS NOT NULL AND RIGHT(Subscriptions.LastStatus, 11) <> '; 0 errors.'))
and Subscriptions.LastRunTime > dateadd(day, -31, getdate())

As a part of the Disaster recovery procedures, I wished to script out each server object that we had created. This enclosed SQL Server jobs, logins, operators, coupled servers and proxies. i used to be able to script out everything but the SQL Server Agent operators:

USE msdb
set nocount on;

create table #tbl (
id int not null,
name sysname not null,
enabled tinyint not null,
email_address nvarchar(100) null,
last_email_date int not null,
last_email_time int not null,
pager_address nvarchar(100) null,
last_pager_date int not null,
last_pager_time int not null,
weekday_pager_start_time int not null,
weekday_pager_end_time int not null,
Saturday_pager_start_time int not null,
Saturday_pager_end_time int not null,
Sunday_pager_start_time int not null,
Sunday_pager_end_time int not null,
pager_days tinyint not null,
netsend_address nvarchar(100) null,
last_netsend_date int not null,
last_netsend_time int not null,
category_name sysname null);

insert into #tbl
  EXEC sp_help_operator;

select 'USE msdb;' + char(13) + char(10) + 'if exists (select * from dbo.sysoperators where name =' + quotename(name, char(39)) + ') ' + char(13) + char(10) +
'exec sp_add_operator ' +
'@name = ' + quotename(name, char(39)) + ', ' +
'@enabled = ' + cast (enabled as char(1)) + ', ' +
'@email_address = ' + quotename(email_address, char(39)) + ', ' +
case
when pager_address is not null then '@pager_address = ' + quotename(pager_address, char(39)) + ', '
else ''
end +
'@weekday_pager_start_time = ' + ltrim(str(weekday_pager_start_time)) + ', ' +
'@weekday_pager_end_time = ' + ltrim(str(weekday_pager_end_time)) + ', ' +
'@Saturday_pager_start_time = ' + ltrim(str(Saturday_pager_start_time)) + ', ' +
'@Saturday_pager_end_time = ' + ltrim(str(Saturday_pager_end_time)) + ', ' +
'@Sunday_pager_start_time = ' + ltrim(str(Sunday_pager_start_time)) + ', ' +
'@Sunday_pager_end_time = ' + ltrim(str(Sunday_pager_end_time)) + ', ' +
'@pager_days = ' + cast(pager_days as varchar(3)) +
case
when netsend_address is not null then ', @netsend_address = ' + quotename(netsend_address, char(39))
else ''
end +
case
when category_name != '[Uncategorized]' then ', @category_name = ' + category_name
else ''
end +
'; ' + char(13) + char(10) + 'go'
from #tbl order by id;

drop table #tbl;

I hope it works for you!

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A trigger is a special kind of stored procedure that automatically executes when an event occurs in the database server. DML triggers execute when a user tries to modify data through a data manipulation language (DML) event. DML events are INSERT, UPDATE, or DELETE statements on a table or view. These triggers fire when any valid event is fired, regardless of whether or not any table rows are affected.

There are three types of triggers. Basically triggers are classified in to two main type

• Insert Of Trigger.
• After Trigger.

This After Trigger run after an insert, update, or delete on table. They are not support view.
So we can say that after trigger also classified in to three types:-

• AFTER INSERT trigger.
• AFTER UPDATE trigger.
• AFTER DELETE trigger.

Insert Trigger
Whenever a row is inserted in the Customers Table, the following trigger will be executed. The newly inserted record is available in the INSERTED table. The following Trigger is fetching the CustomerId of the inserted record and the fetched value is inserted in the CustomerLogs table. Now, write the following code:
CREATE TRIGGER [dbo].[Customer_INSERT]
ON [dbo].[Customers]
AFTER INSERT
AS
BEGIN
SET NOCOUNT ON;
DECLARE @CustomerId INT
SELECT @CustomerId = INSERTED.CustomerId      
FROM INSERTED
INSERT INTO CustomerLogs
VALUES(@CustomerId, 'Inserted')
END

Update Trigger
In the below code is an example of an After Update Trigger. Now write the following code:
CREATE TRIGGER [dbo].[Customer_UPDATE]
ON [dbo].[Customers]
AFTER UPDATE
AS
BEGIN
SET NOCOUNT ON;

DECLARE @CustomerId INT
DECLARE @Action VARCHAR(50)

SELECT @CustomerId = INSERTED.CustomerId      
FROM INSERTED

IF UPDATE(Name)
BEGIN
      SET @Action = 'Updated Name'
END

IF UPDATE(Country)
BEGIN
      SET @Action = 'Updated Country'
END

INSERT INTO CustomerLogs
VALUES(@CustomerId, @Action)
END

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If you installed SQL Server reporting Services (SSRS) on a server in a domain and you utilize a website user to start out the service and did not perform any further configuration, then you likely will only access the Report Manager using an IP and not the fully Qualified domain name (FQDN) of the server (if an SPN isn't set).

If you are trying to use the fully Qualified domain name to access reporting services then you may likely be prompted for username password several times ending with an empty page.

In order to be able to access reporting Services using FQDN you may need to perform the subsequent actions:
1. Register a Service Principal Name (SPN) for the Domain User Account that Runs SSRS
Please look at the following example:
sample computer name: testssrs01
sample domain: example.com
sample domain account: example\ssrsuser

Next, on the Domain Controller Server in a Command Prompt with Elevated Rights, you can Run as Administrator:
Example 1:
If SSRS are on port 80 (no need to specify 80 as it is the default http port):
Setspn -s http/testssrs01.example.com example\ssrsuser

Example 2:
If SSRS are on any other port (i.e. 2430):
Setspn -s http/testssrs01.example.com:2430 example\ssrsuser

2. Edit the RsReportServer.config File
On the Reporting Services server, in the virtual directory of SSRS, edit the "RsReportServer.config" file and locate the authenticationtypes section. Then add /rswindowsnegotiate as the first entry in the authenticationtypes section.

This above step will actually enable NTLM.

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AngularJS forms and controls can validate input data. AngularJS forms and controls can provide validation services, and notify users of invalid input. In this tutorial, we will learn how to perform user validation with bootstrap in AngularJS.

HTML code
var app = angular.module('myapp', ['UserValidation']); 
myappCtrl = function($scope) { 
$scope.formAllGood = function () { 
return ($scope.usernameGood && $scope.passwordGood && $scope.passwordCGood) 
} 

} 

angular.module('UserValidation', []).directive('validUsername', function () { 
return { 
require: 'ngModel', 
link: function (scope, elm, attrs, ctrl) { 
ctrl.$parsers.unshift(function (viewValue) { 
    // Any way to read the results of a "required" angular validator here? 
    var isBlank = viewValue === '' 
    var invalidChars = !isBlank && !/^[A-z0-9]+$/.test(viewValue) 
    var invalidLen = !isBlank && !invalidChars && (viewValue.length < 5 || viewValue.length > 20) 
    ctrl.$setValidity('isBlank', !isBlank) 
    ctrl.$setValidity('invalidChars', !invalidChars) 
    ctrl.$setValidity('invalidLen', !invalidLen) 
    scope.usernameGood = !isBlank && !invalidChars && !invalidLen 

}) 
} 
} 
}).directive('validPassword', function () { 
return { 
require: 'ngModel', 
link: function (scope, elm, attrs, ctrl) { 
ctrl.$parsers.unshift(function (viewValue) { 
    var isBlank = viewValue === '' 
    var invalidLen = !isBlank && (viewValue.length < 8 || viewValue.length > 20) 
    var isWeak = !isBlank && !invalidLen && !/(?=.*[a-z])(?=.*[A-Z])(?=.*[^a-zA-Z])/.test(viewValue) 
    ctrl.$setValidity('isBlank', !isBlank) 
    ctrl.$setValidity('isWeak', !isWeak) 
    ctrl.$setValidity('invalidLen', !invalidLen) 
    scope.passwordGood = !isBlank && !isWeak && !invalidLen 

}) 
} 
} 
}).directive('validPasswordC', function () { 
return { 
require: 'ngModel', 
link: function (scope, elm, attrs, ctrl) { 
ctrl.$parsers.unshift(function (viewValue, $scope) { 
    var isBlank = viewValue === '' 
    var noMatch = viewValue != scope.myform.password.$viewValue 
    ctrl.$setValidity('isBlank', !isBlank) 
    ctrl.$setValidity('noMatch', !noMatch) 
    scope.passwordCGood = !isBlank && !noMatch 
}) 
} 
} 
}) 

JAVASCRIPT Code

var app = angular.module('myapp', ['UserValidation']); 

myappCtrl = function($scope) { 
$scope.formAllGood = function () { 
return ($scope.usernameGood && $scope.passwordGood && $scope.passwordCGood) 
} 

} 

angular.module('UserValidation', []).directive('validUsername', function () { 
return { 
require: 'ngModel', 
link: function (scope, elm, attrs, ctrl) { 
ctrl.$parsers.unshift(function (viewValue) { 
    // Any way to read the results of a "required" angular validator here? 
    var isBlank = viewValue === '' 
    var invalidChars = !isBlank && !/^[A-z0-9]+$/.test(viewValue) 
    var invalidLen = !isBlank && !invalidChars && (viewValue.length < 5 || viewValue.length > 20) 
    ctrl.$setValidity('isBlank', !isBlank) 
    ctrl.$setValidity('invalidChars', !invalidChars) 
    ctrl.$setValidity('invalidLen', !invalidLen) 
    scope.usernameGood = !isBlank && !invalidChars && !invalidLen 

}) 
} 
} 
}).directive('validPassword', function () { 
return { 
require: 'ngModel', 
link: function (scope, elm, attrs, ctrl) { 
ctrl.$parsers.unshift(function (viewValue) { 
    var isBlank = viewValue === '' 
    var invalidLen = !isBlank && (viewValue.length < 8 || viewValue.length > 20) 
    var isWeak = !isBlank && !invalidLen && !/(?=.*[a-z])(?=.*[A-Z])(?=.*[^a-zA-Z])/.test(viewValue) 
    ctrl.$setValidity('isBlank', !isBlank) 
    ctrl.$setValidity('isWeak', !isWeak) 
    ctrl.$setValidity('invalidLen', !invalidLen) 
    scope.passwordGood = !isBlank && !isWeak && !invalidLen 

}) 
} 
} 
}).directive('validPasswordC', function () { 
return { 
require: 'ngModel', 
link: function (scope, elm, attrs, ctrl) { 
ctrl.$parsers.unshift(function (viewValue, $scope) { 
    var isBlank = viewValue === '' 
    var noMatch = viewValue != scope.myform.password.$viewValue 
    ctrl.$setValidity('isBlank', !isBlank) 
    ctrl.$setValidity('noMatch', !noMatch) 
    scope.passwordCGood = !isBlank && !noMatch 
}) 
} 
} 
}) 

If you fill with the wrong detail then it'll give the error like the following picture:

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Disaster Recovery plans and infrastructures are a necessity for large enterprises for which operating would be an issue if their mission critical applications were to crash or become unavailable. Most DR infrastructures have adopted the method of replicating the infrastructure and hardware of the primary site at a backup location; this ensures that when an issue occurs at the primary site, applications can still be served from an unaffected location that contains the necessary capacity. However, replicating an already complex infrastructure is time consuming and costly to not just build, but to maintain too. Cloud DR looks to build upon DR plans by providing a virtualized cloud infrastructure that is able to operate idly with minimal resources, but can scale up to cope with demand when the primary site fails.

Reduction in DR costs

Moving a DR configuration into the cloud can help you to realize huge cost savings by reducing the amount of physical infrastructure that you need to maintain and rely on to protect you in the event of a disaster that takes down your primary data center locations. Because a DR environment only requires resources that are of a bare minimum when it isn’t being actively used, the amount that you are paying will also be the bare minimum.

As a physical DR environment is comprised of hardware and resources that are equal to that of your primary sites, the amount being paid for is often the same as that of the primary site, the only difference being that most of the time these resources are lying idle. So in effect, with traditional DR you could be paying for unused resources a lot of the time. In a cloud DR configuration, if it is called into action then additional resources can be automatically provisioned as the environment scales to cope with the demand being placed on it. Once demand recedes, the resources are then returned to the cloud. With cloud DR you will only ever be paying for resources that are actually being used, which is where the cost efficiencies arise.

Virtualization caters for unpredictable demand

With traditional DR, the capacity of the DR environment is equal to that of the primary site. So whilst there will be enough capacity to meet demand when the primary site is down, it does mean that even when the DR environment is in use that there could still be a substantial amount of free resources. These are free resources that you will still be paying for. DR in the cloud accounts for this unpredictable demand by scaling up to account for the demand placed on it, so you are only ever paying for resources that are actually being used, therefore there will never be any spare resources. This can also be of assistance for times where demand is actually more than even the primary site can handle.

Minimal recovery time

With cloud DR, the backup environment will be ready to serve your mission critical applications the moment any issues are detected at your primary sites. In the event that your primary site does become unavailable, your end-users shouldn’t notice any difference as we have designed the failover process to take place with minimal downtime. Once your end-users have been transferred to the DR environment, you can get to work repairing the primary site as soon as possible to minimize the amount of time that is spent utilizing the recovery site. Once you have repaired the issue and are confident that the primary site is ready to be returned to live use, the transfer from the DR site to primary site will also be flawless and completed with minimal downtime. These processes make sure that issues don’t have the opportunity to have a large, negative impact on your business; although sometimes they may take time and money to repair, from your end-user’s perspective at least your business will continue to operate as normal because they will still be able to access their mission critical applications and data without issue.

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