1. Using Database Publishing Wizard (“SqlPubWiz.exe”)

If you install Visual studio 2008 / Visual Studio 2008 Express full version, it will automatically install the Microsoft SQL Server Data Publishing Wizard on the following location.
[SQL Server Installation Location]\90\Tools\Publishing\[version]\ SqlPubWiz.exe

If it is not there you can download it from the following URL
http://go.microsoft.com/fwlink/?LinkId=119368

SQLPubWiz location

When you run the “SqlPubWiz.exe”, it will open the database publishing wizard

Database Publishing Wizard

Click next and enter the database server connection information accordingly.

Database Publishing Wizard – Database Server Connection

Click next, and it will ask you to select the database, which you want to generate the data from

Database Publishing Wizard – Select Database

Next screen will ask to select the Object type. You can use this database publishing wizard to generate data and schema both. In here I consider only for the data generation part. Now choose “Tables” as an option and click next. (Make sure to uncheck “Script all objects in the selected database”)

Database Publishing Wizard – Choose Object Type

Then, the next ask to select the table which you want to generate the data from. Select whatever the table you want and click next.

Database Publishing Wizard – Choose Tables

Next step ask to specify the output location. You can enter the file name and the location there.

Database Publishing Wizard – Select an Output Location

By clicking Next, It shows to select the publishing options. There are three publishing types, Schema only, Data only, or Schema and data. Here you have to select “Data only”.

Database Publishing Wizard – Select Publishing Option

Click next and it will generate the insert data script for you.

Database Publishing Wizard – Publishing Progress

Database Publishing Wizard – Generated Script

2. Using SQL Server Generate Script wizard

SQL Server Generate Script

When you select “Generate Script” menu item, it will open the Generate SQL Server Scripts Wizard dialog.

SQL Server Generate Script – Wizard Dialog

By clicking next, it asks to select the database which you want to generate the script.

SQL Server Generate Script Wizard – Select Database

By clicking Next, It shows to select the script options dialog box. In here, you change the “Script Data” as “True” and click the next button

SQL Server Generate Script Wizard – Choose Script Option

Next screen will ask to select the Object type. Now choose “Tables” as an option and click next.

SQL Server Generate Script Wizard – Choose Object Type

Next screen ask you to select the tables which you want to generate the data from. Select whatever the tables and click next

SQL Server Generate Script Wizard – Choose Tables

Next step ask to specify the output options. If you select “Script to file” as an option, then you can enter the file name and the location there.

SQL Server Generate Script Wizard – Output Option

Next two steps are very strait forward. It shows the script generation summary, and by clicking next it will generate the script with insert statements for the selected tables.

SQL Server Generate Script Wizard – Script Summary

SQL Server Generate Script Wizard – Script Progress

SQL Server Generate Script Wizard – Generated Script

This phenomenon is called “orphaned users“.

Details of the Problem:

User logon information is stored in the syslogins table in the master database. By changing servers, or by altering this information by rebuilding or restoring an old version of the master database, the information may be different from when the user database dump was created. If logons do not exist for the users, they will receive an error indicating “Login failed” while attempting to log on to the server. If the user logons do exist, but the SID (secure identifier) in master..syslogins and the sysusers table in the user database differ, the users may have different permissions than expected in the user database. (Microsoft et.al)

User login information in syslogins table in the master database

User information in the sysusers table in the user database

See above example, both tables contain the different SID for the username “eyepax”

How to fix:

1. The easiest way to fix this is delete the user from the restored database and then create and setup the user & corresponding permission to the database.

2. If the user owns a schema in the database, you won’t be able to delete the user. Then you can use the special stored procedure “sp_change_users_login”.

Syntax

sp_change_users_login [ @Action = ] ‘action‘
[ , [ @UserNamePattern = ] ‘user‘ ]
[ , [ @LoginName = ] ‘login‘ ]
[ , [ @Password = ] ‘password‘ ]

Arguments

[@Action =] ‘action‘

Following are the list of actions can be performed by the procedure.

To perform the operations, first you have to select the database which contained the issues. Here are some of the operations you can perform.

• Lists the orphaned users

EXEC sp_change_users_login 'Report'

Lists the orphaned users

• If you already create a SQL server with same login information and if you want to map that with the database user

EXEC sp_change_users_login 'Auto_Fix', 'user'

Auto fix orphaned user

3. MSDN says, maps an existing database user to a SQL Server login. sp_change_users_login feature will be removed in a future version of Microsoft SQL Server. Avoid using this feature in new development work, and plan to modify applications that currently use this feature. Use ALTER USER instead.

Syntax

ALTER USER userName
WITH <set_item> [ ,...n ]

<set_item> ::=
NAME = newUserName
| DEFAULT_SCHEMA = schemaName
| LOGIN = loginName

Argument

userName -Specifies the name by which the user is identified inside this database.
LOGIN =loginName, Re-maps a user to another login by changing the user’s Security Identifier (SID) to match the login’s SID.
NAME =newUserName, Specifies the new name for this user. newUserName must not already occur in the current database.
DEFAULT_SCHEMA =schemaName, Specifies the first schema that will be searched by the server when it resolves the names of objects for this user.

ALTER USER UserName WITH LOGIN = UserName

Alter user

For more information

sp_change_users_login
http://msdn.microsoft.com/en-us/library/ms174378(v=sql.110).aspx

ALTER USER
http://msdn.microsoft.com/en-us/library/ms176060.aspx

Troubleshoot Orphaned Users (SQL Server)
http://msdn.microsoft.com/en-us/library/ms175475.aspx

• POP3 – Downloads email locally
• IMAP – Mail is stored on the mail server

SMTP

Simple Mail Transfer Protocol (SMTP) servers handle the sending of your e mail messages to the Internet. The SMTP server handles outgoing e mail, and is used in conjunction with a POP3 or IMAP incoming e mail server.

POP3

Post Office Protocol 3 (POP3) servers hold incoming e mail messages until you check your e mail, at which point they’re transferred to your computer. POP3 is the most common account type for personal e mail. Messages are typically deleted from the server when you check your e mail.

IMAP

Internet Message Access Protocol (IMAP) servers let you work with e mail messages without downloading them to your computer first. You can preview, delete, and organize messages directly on the e mail server, and copies are stored on the server until you choose to delete them. IMAP is commonly used for business e mail accounts.

Default Ports

• SMTP AUTH: Port 25 or 587 (some ISPs are blocking port 25)
• SMTP StartTLS Port 587
• SMTP SSL Port 465
• POP Port 110
• POP SSL Port 995
• IMAP Port 143
• IMAP SSL Port 993
• IMAP StartTLS Port 143

The following list of SMTP, POP3, and IMAP server should help you if you don’t know what mail server you should use for your mail account.

Knockout is a JavaScript library that helps you to create rich, responsive display and editor user interfaces with a clean underlying data model. Any time you have sections of UI that update dynamically (e.g., changing depending on the user’s actions or when an external data source changes), KO can help you implement it more simply and maintainably.
http://knockoutjs.com/

Angular.js

AngularJS is an open-source JavaScript framework, maintained by Google, that assists with running what are known as single-page applications. Its goal is to augment browser-based applications with model–view–controller (MVC) capability, in an effort to make both development and testing easier. The library reads in HTML that contains additional custom tag attributes; it then obeys the directives in those custom attributes, and binds input or output parts of the page to a model represented by standard JavaScript variables. The values of those JavaScript variables can be manually set, or retrieved from static or dynamic JSON resources.
http://angularjs.org/

Backbone.js

Backbone.js gives structure to web applications by providing models with key-value binding and custom events, collections with a rich API of enumerable functions, views with declarative event handling, and connects it all to your existing API over a RESTful JSON interface.
http://backbonejs.org

Node.js

Node.js is a platform built on Chrome’s JavaScript runtime for easily building fast, scalable network applications. Node.js uses an event-driven, non-blocking I/O model that makes it lightweight and efficient, perfect for data-intensive real-time applications that run across distributed devices.
http://nodejs.org/

Modernizr

Modernizr is a small JavaScript library that detects the availability of native implementations for next-generation web technologies, i.e. features that stem from the HTML5 and CSS3 specifications. Many of these features are already implemented in at least one major browser (most of them in two or more), and what Modernizr does is, very simply, tell you whether the current browser has this feature natively implemented or not.
http://modernizr.com

Require.js

RequireJS is a JavaScript file and module loader. It is optimized for in-browser use, but it can be used in other JavaScript environments, like Rhino and Node. Using a modular script loader like RequireJS will improve the speed and quality of your code.
http://requirejs.org

Less

LESS extends CSS with dynamic behavior such as variables, mixins, operations and functions.LESS runs on both the server-side (with Node.js and Rhino) or client-side (modern browsers only).
http://lesscss.org/

Sass

Sass is an extension of CSS3, adding nested rules, variables, mixins, selector inheritance, and more. It’s translated to well-formatted, standard CSS using the command line tool or a web-framework plugin.
http://sass-lang.com

HTML5 Cheat Sheet – Event Handler Attributes

HTML5 Cheat Sheet – Browser Support

Following tools provide an online debugging environment for HTML, CSS and JavaScript.

1. jsFiddle

jsFiddle is the most popular JavaScript sandbox. It provides instantly ready coding environment for you to begin experimenting in as soon as the page loads.

http://jsfiddle.net/

2. JS Bin

JS Bin is another JavaScript sandbox. The design of this app is quite minimal and really allows you to focus on the code. By default, the page only shows the HTML and lives preview panes, but you can easily add JavaScript to that as well.

http://jsbin.com/

3. CSSDesk

CSSDesk is a CSS sandbox which allows you to put your HTML and CSS codes there and view the preview instantly. It is very useful for testing out codes before implementing them in your website permanently.

http://cssdesk.com/

4. CodePen

CodePen is an app for sharing and playing around with front end code. It’s a site for building stuff from HTML, CSS and JavaScript.

http://codepen.io/pen/

Following tool can use for easy online testing and sharing of database problems and solutions.

1. SQL Fiddle

SQL Fiddle is a tool for easy online testing and sharing of database problems and their solutions. If you do not know SQL or basic database concepts, this site is not going to be very useful to you. However, if you are a database developer, there are a few different use-cases of SQL Fiddle intended for you:

• You want help with a tricky query, and you’d like to post a question to a Q/A site
• You want to compare and contrast SQL statements in different database back-ends
• You do not have a particular database platform readily available, but you would like to see what a given query would look like in that environment

http://sqlfiddle.com/

Following tools act as sandbox environment for JSON,  XML development, including (E)XSLT, XML validation (DTD, schema, RelaxNG) and XQuery.

1. XMLPlayground

XMLPlayground is a sandbox environment for XML development, including (E)XSLT, XML validation (DTD, schema, RelaxNG) and XQuery. It has five development panels into which you can either insert or upload code:

• XML – your source XML. You can render it as a node tree via the ‘tree’ tab.
• (E)XSLT – transform your XML with XSLT (1.0). EXSLT an XSL includes are supported.
• Validation – validate your XML with Schema, DTD or RelaxNG.
• CSS – style your output
• XQuery – query or transform your XML with XQuery code (via XQIB)

http://xmlplayground.com/

2. JSON Fiddle

With JSON Fiddle, simulating and posting JSON in Fiddler is just as easy.

http://jsonfiddle.net

Recently I have answered one of the SQL based question in the CodeProject. Thanks for the participant that question wake up me to write this blog post.

Question:

He has a table (tblLeave) with the data like below.

PAYCODE		LV_TYPE	FROM_DATE		TO_DATE	        	LVALUE
5023		SL    	14/12/2012 0:00		14/12/2012 0:00		1
5023		SL    	15/12/2012 0:00		15/12/2012 0:00		1
5023		COF   	16/12/2012 0:00		16/12/2012 0:00		1
5023		SL    	19/12/2012 0:00		19/12/2012 0:00		1
5023		SL    	22/12/2012 0:00		22/12/2012 0:00		1
5023		SL    	23/12/2012 0:00		23/12/2012 0:00		1
5023		SL    	24/12/2012 0:00		24/12/2012 0:00		1
5023		PL    	28/12/2012 0:00		28/12/2012 0:00		1
5023		PL    	29/12/2012 0:00		29/12/2012 0:00		1
5023		PL    	30/12/2012 0:00		30/12/2012 0:00		1
5023		PL    	31/12/2012 0:00		31/12/2012 0:00		1

And he wants to output the data as below

PAYCODE LV_TYPE FROM_DATE       TO_DATE         LVALUE
5023    SL      14/12/2012 0:00 15/12/2012 0:00 2
5023    COF     16/12/2012 0:00 16/12/2012 0:00 1
5023    SL      19/12/2012 0:00 19/12/2012 0:00 1
5023    SL      22/12/2012 0:00 24/12/2012 0:00 3
5023    PL      28/12/2012 0:00 31/12/2012 0:00 4

Condition: If same type of leave taken continuously, it should be merged in one row mentioning from_date to to_date.

Answer:

When I saw that question first time, I didn’t go through in details and just thought that was an easy grouping query. And I just gave following answer.

SELECT LV_TYPE,LV_TYPE,MIN(FROM_DATE) AS FROM_DATE ,MAX(TO_DATE) AS TO_DATE, COUNT(LVALUEP) AS LVALUE
FROM tblLeave
GROUP BY PAYCODE,LV_TYPE

But that’s wrong, he made comments saying it doesn’t make sense and highlighted the condition he wants. (Thanks for him; he didn’t down vote my answer). Again I read the question… Oh… That was a tricky question. He needs to group the leave by consecutive date. Isn’t that tricky?

To answer that, I use the DATEDIFF SQL function

DATEDIFF ( datepart , startdate , enddate )

http://msdn.microsoft.com/en-us/library/ms189794.aspx

Following is my answer and the output

SELECT PAYCODE,LV_TYPE, MIN(FROM_DATE) AS FROM_DATE,
       MAX(FROM_DATE) AS TO_DATE, COUNT('A') AS LVALUE
FROM (
SELECT PAYCODE,LV_TYPE,FROM_DATE,
    DATEDIFF(D, ROW_NUMBER() OVER(ORDER BY FROM_DATE), FROM_DATE) AS Diff
FROM tblLeave) AS dt
GROUP BY PAYCODE,LV_TYPE, Diff
ORDER BY FROM_DATE

PAYCODE     LV_TYPE FROM_DATE               TO_DATE                 LVALUE
----------- ------- ----------------------- ----------------------- -----------
5023        SL      2012-12-14 00:00:00.000 2012-12-15 00:00:00.000 2
5023        COF     2012-12-16 00:00:00.000 2012-12-16 00:00:00.000 1
5023        SL      2012-12-19 00:00:00.000 2012-12-19 00:00:00.000 1
5023        SL      2012-12-22 00:00:00.000 2012-12-24 00:00:00.000 3
5023        PL      2012-12-28 00:00:00.000 2012-12-31 00:00:00.000 4

Query Explanation:

Before explain the logic see the following query and the output.

SELECT PAYCODE,LV_TYPE,FROM_DATE,
	ROW_NUMBER() OVER(ORDER BY FROM_DATE) AS ROW_NUMBER,
    DATEDIFF(D, ROW_NUMBER() OVER(ORDER BY FROM_DATE), FROM_DATE) AS Diff
FROM tblLeave

PAYCODE     LV_TYPE FROM_DATE               ROW_NUMBER           Diff
----------- ------- ----------------------- -------------------- -----------
5023        SL      2012-12-14 00:00:00.000 1                    41254
5023        SL      2012-12-15 00:00:00.000 2                    41254
5023        COF     2012-12-16 00:00:00.000 3                    41254
5023        SL      2012-12-19 00:00:00.000 4                    41256
5023        SL      2012-12-22 00:00:00.000 5                    41258
5023        SL      2012-12-23 00:00:00.000 6                    41258
5023        SL      2012-12-24 00:00:00.000 7                    41258
5023        PL      2012-12-28 00:00:00.000 8                    41261
5023        PL      2012-12-29 00:00:00.000 9                    41261
5023        PL      2012-12-30 00:00:00.000 10                   41261
5023        PL      2012-12-31 00:00:00.000 11                   41261

By seen this, you will realize that above query generate the same Diff  value for all the consecutive dates. Now you can easily group this and get the counts as you like.

Download demo query – 1.6 KB

Introduction

Recently I have answered one of the Code Project questions, in brief the question was, how to split the delimited string and return as row values. This is one of the common questions we all are facing in our development. Not only splitting the delimited string, but also we struggle when creating the delimited strings using SQL.

In this article, I will show you how easily this can be done by using the SQL XQuery.

Creating delimited strings

Suppose we have a table called DeveloperProject to store the individual developer project list.

DECLARE @DeveloperProject Table(
 DeveoperID INT,
 ProjectCode VARCHAR(20)
)
INSERT INTO @DeveloperProject(DeveoperID, ProjectCode) VALUES(1,'CODE_PROJECT')
INSERT INTO @DeveloperProject(DeveoperID, ProjectCode) VALUES(1,'MSFT')
INSERT INTO @DeveloperProject(DeveoperID, ProjectCode) VALUES(1,'REPT_MOD')
INSERT INTO @DeveloperProject(DeveoperID, ProjectCode) VALUES(2,'MSFT')
INSERT INTO @DeveloperProject(DeveoperID, ProjectCode) VALUES(2,'CODE_PROJECT')
INSERT INTO @DeveloperProject(DeveoperID, ProjectCode) VALUES(3,'REPT_MOD')

Now we need to convert this as follows

DeveoperID  ProjectCodes
----------- ------------------------
1           CODE_PROJECT,MSFT,REPT_MOD
2           MSFT,CODE_PROJECT
3           REPT_MOD

There are many ways to do this. But here is the easiest way.

SELECT DeveoperID,
    REPLACE((SELECT ProjectCode AS'data()'
        FROM @DeveloperProject dp2
        WHERE dp2.DeveoperID = dp1.DeveoperID
    FOR XML PATH('')),' ',',')AS ProjectCodes
FROM @DeveloperProject dp1
GROUP BY DeveoperID

SELECT DeveoperID,
    SUBSTRING((SELECT ','+ ProjectCode
        FROM @DeveloperProject dp2
        WHERE dp2.DeveoperID = dp1.DeveoperID
    FOR XML PATH('')), 2, 8000)AS ProjectCodes
FROM @DeveloperProject dp1
GROUP BY DeveoperID

FOR XML() clause

SELECT ProjectCode
FROM @DeveloperProject c2
FOR XML PATH('')

SELECT ProjectCode AS 'data()'
FROM @DeveloperProject c2
FOR XML PATH('')

DECLARE @DeveloperProjectCSV Table(
    DeveoperID INT,
    ProjectCodes  VARCHAR(MAX)
)

INSERT INTO @DeveloperProjectCSV(DeveoperID,ProjectCodes)
SELECT DeveoperID,
    REPLACE((SELECT
        ProjectCode AS 'data()'
     FROM @DeveloperProject dp2
     WHERE dp2.DeveoperID = dp1.DeveoperID
     FOR XML PATH('')), ' ', ',') AS ProjectCodes
FROM @DeveloperProject dp1
GROUP BY DeveoperID

DeveoperID  ProjectCodes
----------- ------------------------------
1           CODE_PROJECT,MSFT,REPT_MOD
2           MSFT,CODE_PROJECT
3           REPT_MOD

;WITH cte AS (
    SELECT
        DeveoperID,
        CAST('' + REPLACE(ProjectCodes, ',', '') + '' AS XML) AS ProjectCodes
    FROM @DeveloperProjectCSV
)
SELECT
    DeveoperID,
    xTable.xColumn.value('.', 'VARCHAR(MAX)') AS ProjectCode
FROM cte
CROSS APPLY ProjectCodes.nodes('//r') AS xTable(xColumn)

http://msdn.microsoft.com/en-us/library/ms188282(v=sql.100).aspx

DeveloperID ProjectCode
----------- --------------------
1           CODE_PROJECT
1           MSFT
1           REPT_MOD
2           MSFT
2           CODE_PROJECT
3           REPT_MOD

CREATE FUNCTION dbo.rowToCSV(@DeveoperID int )
RETURNS VARCHAR(MAX)
AS
BEGIN
    DECLARE @ProjectCodes VARCHAR(MAX)
    SELECT @ProjectCodes = COALESCE(@ProjectCodes + ', ', '') + ProjectCode
    FROM DeveloperProject
    WHERE DeveoperID = @DeveoperID
    RETURN @ProjectCodes
END

SELECT
DeveoperID,
ProjectCodes = dbo.rowToCSV(DeveoperID )
FROM DeveloperProject
GROUP BY DeveoperID

SELECT  a.DeveloperID,
SUBSTRING(',' + a.ProjectCodes + ',', n.Number + 1, CHARINDEX(',', ',' + a.ProjectCodes + ',', n.Number + 1) - n.Number - 1) AS [Value]
FROM DeveloperProjects AS a
INNER JOIN master..spt_values AS n ON SUBSTRING(',' + a.ProjectCodes + ',', n.Number, 1) = ','
WHERE n.Type = 'p'
    AND n.Number > 0
    AND n.Number < LEN(',' + a.ProjectCodes + ',')