Thursday, December 8, 2011

SQl Question 5 (Interview question too)

1.What is SQL Azure?

SQL Azure is a cloud based relational database as a Service offered by Microsoft. Conceptually it is SQL server in the cloud.

2.What is cloud computing?

National Institute of standards and computing definition of cloud computing:

Cloud computing is a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction.

[TIP: Remember Key words On Demand, Scalable, Self-service, and Measurable. Now take the first word from each key word which gives us OSSM which can be pronounced as Awesome. Thus remember cloud computing is Awesome! Tip courtesy: Dave Nielsen]

3.How is SQL Azure different than SQL server?

SQL Azure is a cloud based service and so it has own set of pros and cons when compared to SQL server. SQL Azure service benefits includes on demand provisioning, high availability, reduced management overhead and scalability. But SQL Azure abstracts some details from the subscriber which can be good or bad which depends on the context of the need.

4.How many replicas are maintained for each SQL Azure database?

For each database, three replicas are maintained for each database that one provisions. One of them is primary replica. All read/write happen on primary replica and other replicas are kept in sync with primary replica. If for some reason, primary goes down, other replica is promoted to primary. All this happens under the hood.

5.How can we migrate from SQL server to SQL Azure?

For Data Migration, we can use BCP or SSIS. And for schema Migration we can use Generate Script Wizard. Also, we could use a Tool called SQL Azure migration wizard available on codeplex.

6.Which tools are available to manage SQL Azure databases and servers?

We can manage SQL Azure database using SQL server management server 2008 R2. Also, we can manage SQL Azure databases and servers through a Silverlight app integrated in Azure management portal.

7.Tell me something about security and SQL Azure.

SQL Azure service allows blocking a request based on its IP address through SQL Azure firewall. It uses SQL server Authentication mechanism to authenticate connections. Also connections to SQL Azure are SSL-encrypted by default.

8.What is SQL Azure Firewall?

SQL Azure firewall is a security mechanism that blocks requests based on its IP address.

9.What is the difference between web edition and business edition?

SQL Azure Web edition database Max Size is 5 GB whereas the business edition supports Max Size up to 50 GB. The size of a web edition database can be increased (/decreased) in the increments (/decrements) of 1 GB whereas the size of a business edition can be increased in the increments of 10 GB.

10.How do we synchronize On Premise SQL server with SQL Azure?

We could use a No code solution called DATA SYNC (currently in community technology preview) to synchronize on-premise SQL server with SQL Azure. We can also develop custom solutions using SYNC framework.

11.How do we Backup SQL Azure Data?

SQL Azure keeps three replicas of a database to tackle hardware level issues. To tackle user level errors, we can use COPY command that allows us to create a replica of a SQL Azure database. We can also backup SQL Azure data to local SQL server using BCP, SSIS, etc. but as of now, point in time recovery is not supported.

12.What is the current pricing model of SQL Azure?

Charges for SQL Azure consumption is based on 1) Size 2) Data Transfer.

[For contemporary pricing model, read: http://www.microsoft.com/windowsazure/pricing/ ]

13.What is the current limitation of the size of SQL Azure DB?

Maximum size of a SQL Azure database is 50 GB.

14.How do you handle datasets larger than 50 GB?

As of now, we have to build custom solution at application level that can handle scale out of underlying SQL Azure databases. But Microsoft has announced, SQL Azure Federations that will assist scaling out of SQL Azure databases. And scale out means that we are splitting the data into smaller subsets spread across multiple databases.

15.What happens when the SQL Azure database reaches Max Size?

Read operations continue to work but create/insert/update operations are throttled. You can drop/delete/truncate data.

16.How many databases can we create in a single server?

150 databases (including master database) can be created in a single SQL Azure server.

17.How many servers can we create in a single subscription?

As of now, we can create six servers under a single subscription.

18.How do you improve the performance of a SQL Azure Database?

We can tune a SQL Azure database using information available from execution plan and statistics of a query. We could use SQL Azure’s Dynamic Management views to monitor and manage SQL Azure database.

Also, SQL Azure performance is affected by network latency and bandwidth. Considering this, code near application topology gives the best performance.

19.What is code near application topology?

Code near application topology means that the SQL Azure database and the windows azure hosted service consuming the data are hosted in the same Azure datacenter.

[FYI: in the code far application topology, the app connects to SQL Azure from outside the Microsoft data center]

20.What were the latest updates to SQL Azure service?

Latest SQL Azure updates include multiple servers per subscription, SQL Azure co administrator support, creating Firewall rules for servers with IP detect.

[A constantly updated list of SQL Azure features is available at http://beyondrelational.com/whatisnew/sqlserver/azure.aspx]

21.When does a workload on SQL Azure get throttled?

When database reaches its maximum size update/insert/create operations get throttled. Also there are policies in place that does not allow to a workload to exploit a shared physical server. In other words, the policies make sure that all workload get a fair share of shared physical server. Now, a workload can get soft throttled that means that the workload has crossed the safety threshold. A workload can also got hard throttled which means that a SQL Azure machine is out of resources and it does not accept new connections. We can know more about what happened by decoding reason codes.

These were SQL Azure specific interview questions but remember that SQL server specific interview questions that we have seen so far can also appear in SQL Azure context since SQL Azure is “SQL server in the cloud”. Also questions specific to supported/unsupported features can be asked. I have not included the questions specific to unsupported features because it keeps on changing. Read general guidelines and limitations. Also note that SQL Azure is evolving very fast and it is important to keep a tab on the features that are added in service releases.

‘What is the toughest challenge you have faced at your present job and how did you handle it’?
Before looking at various responses I will explain some reasons why this question is asked…#1 reason is that we don’t believe in grilling a person technically…it is the one thing most people dread in interviews, and many times people who even know the subject well get totally flustered and upset if they cannot answer something.On the other hand it is vitally important to test an individual’s technical skills, especially when the company cannot afford a big learning curve, and person needs to get started on the job right away on production system. The easiest way to gauge a person’s expertise is to get them talking about what they did…they may not know all that they are needed to know but as an interviewer one can clearly understand how much and what this person is capable of.
Always try to be honest about this question. There is definitely a risk involved, particularly if you are a junior DBA trying to transition into a more senior level..and the company is looking for senior level expertise already. Experience shows - in the technical jargon we use, how comfortable we are describing what we did, in everything. Sometimes just the way you answer can impress the interviewer and get you the job. But never try to pass off something you read or someone else’s experience as your own. You may not be able to get very far with that, and it rarely fools a smart interviewer.
Some answers I have given and heard:

1 I had to do an in-place upgrade on a critical production system overnight. It was an active active cluster on SQL 2005 and was upgrading to 2008. I had to read clearly the differences between clustering installation in both and had to be very sure i understood. After going through test installs we decided this was too risky and went with new hardware, new os, it was still an in place install since they required us to have the same server name. So had to extensively document the older system and rebuild the new system from scratch overnight.

2 Had two fellow dbas leave in quick succession, had to handle work of 3 dba’s. Learnt how to multi task and automate monitoring, buy and use tools…Also automated the dba daily checklist to the extent possible so that i dont have to manually check processes running, event logs, job failures and so on. Used powershell/vbscript to achieve this.

3 Had to convince application team to learn and use SSIS instead of TSQL for several ETL processes. Ther was lot of resistance as SSIS was not easy for them to learn and they were very used to writing TSQL code. But i had to arrange several demos and show them advantages – particularly in terms of performance with data transforms, eliminating the need for intermediate tables, filtering bad data and exception handling. Had to talk to the manager and migrate couple of packages initially, did it all myself..when they saw how it performed they started learning it and came on board totally. The main lesson i learnt was to understand their resistance and deal with it maturely instead of forcing opinions.
4 Had a database that was using GUIDs heavily and suffering performance issues due to high fragmentation. Tried to mitigate the issue by reindexing more often – to some extent it helped. Then we moved to sequential GUIDs and it got little more better. But the main issue i had was to force them to adopt integer keys – they kept insisting it would result in i/o hotspots and this and that..but proved that wrong too by recreating the database using integer keys and using multiple files to avoid contention. When they saw performance improvement they were sold!
In some cases you may be allowed a few minutes to describe the situation like this and answer – in some cases interviewee would just cut you short and say ‘ok, what did you do for this or that’, or ‘what if they still refused to moved to integer keys instead of guids’ and so on…the best way is to practice the answers at home repeatedly, perhaps have a friend or family member stop you at every sentence and ask questions. Also try to talk easily and fluently in technical terms, stammering with technical terms is often times a clue to what the person knows and does not know.

Rick A. Morelan is finest SQL Expert. He is very much known for his excellent book series Joes 2 Pros. His books are not only inspiration to many who wants to learn SQL Server properly but a MUST read for any SQL enthusiast. He has written following guest blog post to keep alive the spirit of Interview Questions and Answers Series. I encourage all the readers to read his MUST read books Joes 2 Pros.

After years preparing so many students to pass the SQL Certification I noticed they were pretty well prepared for job interviews too. Yes, they would do well in the interview but not great. There seemed to be a few questions that would come up repeatedly for almost everyone. Most of these questions were not even programming questions but short queries with deep strategic thought. These questions separated the junior SQL query writers from the advanced SQL query writers. That is because most advanced interview questions combine two or more intermediate level skill sets into 1 solution.

Realizing years ago that just writing and training people for the Microsoft test was not always enough to get them where they wanted to go. Maybe half the time they would get the job so I vowed to do something extra to increase those odds. Perhaps needed to create an entire course on the how to ace SQL query interviews.

Since it seemed 80% of the interview questions were about the advanced queries that is where my focus must be directed. The end result is my SQL Query book on certification (SQL Queries Joes 2 Pros: SQL Query Techniques for Microsoft SQL Server 2008ISBN 1-4392-5318-) doubled in size to nearly 600 pages. In fact this book now adorns more interview prep then certification prep. It’s proven to be a big payoff and my students almost always get the job offer after the interview.

Let’s get on to one of the common interview questions. Most people are fully aware of how the TOP keyword works with a SELECT statement. For example if you wanted to look at the 3 top most expensive products from the [Grant] table of the sample database JProCo then this query would do the trick (note: you can download my sample database from Joes2Pros.com). Watch the video here.

SELECT TOP (3) *
FROM [Grant]
ORDER BY Amount DESC

The real interview question assumes this is already easy to you and instead they want to find just the 3rd highest Grant. In other words just the record that is in 3rd place by amount. To do this you need rank the records and then predicate for 3rd place. Let’s start off by sorting all the records of the table by highest price.

SELECT *
FROM [Grant]
ORDER BY Amount DESC

The ORDER BY clause picks what records are listed first based on the field and sort order you pick. In this case we choose amount from highest to lowest. Now we want to use the power of the ORDER BY to pick the rank. Follow the RANK() with OVER() and the put the ORDER BY inside and not the end of the query. Your query and output look like the sample below.

SELECT *,
RANK() OVER(ORDER BY Amount DESC)
FROM [Grant]

GrantID GrantName EmpID Amount Rank

7

Ben@MoreTechnology.com

10

41000

1

8

www.@-Last-U-Can-Help.com

7

25000

2

9

Thank you @.com

11

21500

3

4

Norman’s Outreach NULL

21000

4

5

BIG 6′s Foundation%

4

21000

4

6

TALTA_Kishan International

3

18100

6

3

Robert@BigStarBank.com

7

18100

6

2

K_Land fund trust

2

15750

8

10

Call Mom @Com

5

7500

9

1

92 Purr_Scents %% team

7

4750

10

This is very nice but not very neat. It a good idea to alias expression fields to let’s call it GrantRank.

SELECT *,
RANK() OVER(ORDER BY Amount DESC) AS GrantRank
FROM [Grant]

Almost done right? You can see the 3rd highest grant is Thank you @.com for $21,500. Just 1 critera way from victory. You might think it would be as simple as saying GrantRank = 3. If you try to predicate on a field alias you will discover that the WHERE clause runs before the field expression and you get the following error.

SELECT *,
RANK() OVER(ORDER BY Amount DESC) AS GrantRank
FROM [Grant]
WHERE GrantRank = 3

Msg 207, Level 16, State 1, Line 5

Invalid column name ‘GrantRank’.

GrantRank is not a column until after the query has run so the where clause can’t find what you’re talking about. What can you do? Simply materialize the query like a table by using a Common Table Expression or a Derived Table. Both examples are below.

--Use a Common Table Expression
WITH CTE AS
(SELECT *,
RANK() OVER(ORDER BY Amount DESC) AS GrantRank
FROM [Grant] )
SELECT * FROM CTE
WHERE GrantRank = 3
--Use a Derived Table
SELECT *
FROM
(SELECT *,
RANK() OVER(ORDER BY Amount DESC) AS GrantRank
FROM [Grant] ) AS dt
WHERE GrantRank = 3

GrantID GrantName EmpID Amount GrantRank
9 Thank you @.com 11 21500 3




Nakul Vachhrajani is a Technical Lead and systems development professional with iGATE Patni having a total IT experience of more than 6 years. He has comprehensive grasp on Database Administration, Development and Implementation with MS SQL Server and C, C++, Visual C++/C#. He has written following guest blog post to keep alive the spirit of Interview Questions and Answers Series.

Interviews – A Definition

The Merriam-Webster English dictionary defines an “Interview” in two ways.

  • A formal consultation usually to evaluate qualifications (as of a prospective student or employee)
  • A meeting at which information is obtained (as by a reporter, television commentator, or pollster) from a person

Interviews are a reality of life, and we all have been facing them ever since we started understanding the world around us. Way back when we were little children, we faced our first interview when we used to be asked – “What’s your name?” For frequent fliers, there is nothing new if they are asked the same set of questions (“What is your final destination?”, “Where will you stay?”, “Are you carrying any food products?”) again and again by different people at different legs of their journey. We face interviews almost every day of our life.

Interviews are therefore nothing new, but yet there is always an anxiety when we, as an interviewee, are a prospective student or an employee. And it is not wrong because Darwin’s rules on evolution are kicking in and “survival of the fittest” is seen in its pure form. As a general rule, as defined above, if your qualifications are the best, you will be selected.

To evaluate qualifications, a meeting is required – the meeting can be a face-to-face meeting, a telephonic communication, or even a written evaluation (not necessarily in the same order). Without a meeting of some sort, no interview is complete.

Einstein’s theory of relativity establishes that everything is relative. There has to be a reference. and based on the reference, every evaluation has to be done. This leads us to the next question – what is the definition of the best qualification, and how do you evaluate one?

Defining the best qualification – understanding expectations

Unfortunately, there is a lot left to interpretation, and therefore, the reference changes with each interview. It is important to define and understand the right qualification requirements and the expectations that the interviewer has for the job. Let me explain.

On the part of the interviewee, it is the prime challenge to understand what is required by the prospective employer. Job requirement postings are typically developed by HR professionals, who guided by the technical team sometimes obfuscate the core requirement. Doing the same serves two purposes.

Indicates the “tolerance” margin of the organization

Most requirements are very specific. However, finding the candidates matching the exact requirement is almost always very difficult. Hence, most organizations have a “tolerance” margin – wherein if the candidate falls within the tolerance margin, they can be trained and ramped up to the specific requirement.

Often I hear from new recruits that they are not happy with a job simply because they were interviewed for one technology (e.g. Web-technologies), but have been placed into another (e.g. client-server technologies). I would say that for the most part, the recruit is to blame. Interviews are the best places to clear out any questions that one may have about the work that would be assigned once the interview is cleared.

It is not wrong to ask the interviewer about the tentative projects that they would be placed in. I have had experienced candidates ask me – “If you decide to select me, what will I be required to work on? I can work on ABC technologies and can learn something if you want me to.” The reason is that as experienced professionals, they know, understand, and have accepted the tolerance margin.

Sometimes, the first assignment may be exactly what one is interviewed for, but the next one may not. It becomes very easy to work in such situations if one understands that in a service or consultation-based industry, it is almost impossible to be extremely specific about the technology and domain.

Fresher graduates (and in some cases, experienced resources as well), however, have a misconception that because they are trained in a technology, they should work in the same technology. Not getting the desired work because of their misconceptions causes undue stress to both – the individual and to the employer. After an initial high-speed growth by jumping around from one organization to another, such individuals often end up in stagnation.

Educational Qualification is never the only requirement

In an employment interview, the focus of the interviewer is generally on the job candidate’s work experiences, general and specific attitudes, and occupational goals.

Aside from professional work experience, others are soft skills. I have at many times chosen candidates with a very positive drive towards innovation, customer satisfaction, learning, and strong work ethics v/s a higher academic qualification.

Having a wide requirement defined during an interview call ensures that such candidates will take a chance and come over.

Responsibility of the interviewer

Interviews are not only about the candidates – they are about the interviewers as well. When the career of another person is at stake, it is a huge responsibility of the interviewer that they remain unbiased by the factors of mood, personal differences, and carry-overs from the previous interview.

My philosophy for a career

The movie 3 idiots demonstrated to the common man something I have always believed in – strive for excellence. Even if you are the Jack of all trades, if you excel at it, there is always a requirement for you.

It pains me to see people rushing after IT one year and after core-engineering the next year. If we think of it, every course of study has its own importance. IT organizations need buildings to carry out their work. Buildings are designed by architects and structural engineers and built by civil engineers. To design lifts, we need mechanical engineers and to ensure that computers and HVAC systems remain powered up 24×7, we need electrical engineers. So you see, there is no such thing as “there is no demand for anything else but IT.”

What I want to emphasize is that as students, focus on what you like best. Excel in it, make sure the world knows about it, hone your soft skills, and then leave the rest up to fate. Even the karma theory in the Mahabharata has this as one of its most important teachings.

Summary

I could fill up pages on the topic of interviews;, however, summarizing, I would like to present a bulleted list of some of the most important points that needs to be taken care of during an interview:

Interviewee

  • Be honest. Always
  • Don’t stress out
  • Don’t be afraid to ask questions
  • Do not use salary as a negotiation tool

Interviewer

  • Check your biases at the door
  • Ask questions keeping the experience level of the interviewee in mind
  • Answering interviewee’s questions and making the interviewee feel at home goes a long way
  • The Interviewee is a human and is allowed to commit a few mistakes due to stress and anxiety of the interview

Organization

  • You may be the dream company for a lot of people attending your interview. Ensure that you extend the same level of comfort and services that you do so to your employees (facilities, catering services, security, etc.)

I would like to thank Pinal for running this month-long series on Interviews & Interview questions. To all those who read this post, I wish you all the best for your interviews in the future!


Feodor Georgiev is a SQL Server database specialist with extensive experience of thinking both within and outside the box. He has wide experience of different systems and solutions in the fields of architecture, scalability, performance, etc. Feodor has experience with SQL Server 2000 and later versions, and is certified in SQL Server 2008. He has written following guest blog post to keep alive the spirit of Interview Questions and Answers Series.

About a month ago I wrote a post Job interviewing – the right way and for the right reasons in which I explored the factors involved in a productive job search and the proper points of view involved in the process. This blog post can be considered as part 2 of the series, which in its turn extends the topic to a broader level: incentives and motives leading to mutual compromises during a job interview.

In short, the job interview is like an enchanted dance between a potential employee and a potential employer which plays a defining role in their entire collaboration. Of course, both sides have sometimes contrasting motivations, different priorities and are moved by different incentives, but in the end, the interviewing process is the host of all unlimited possibilities.

I do consider the incentives to be one of the most powerful energy sources in human history and as examples of incentives I would point to monetary (good salary or bonus), psychological (a good pat on the back), self-appreciation (the perception of self-overachievement) and so on. (Fear is also an incentive, but I sincerely hope that no company runs on this kind of evil fuel!)

I will mention motivation again later on, but for now, let’s look at some essential aspects of quality points of view during the interviewing and hiring process.

‘Absolute ends meet in the middle’ – some proverb, I think…

I am not really certain if this is a real ancient proverb or some colorful phrase I just came up with, but in either case it seems true.

During the interviewing process the main goal boils down to ‘defining the absolute qualities wanted, absolute qualities not wanted and all the gray areas in-between’. And this is valid, of course for both sides – the interviewer and the interviewee. (I should be really calling both sides ‘interviewers’, since both sides are interviewing each other on equal grounds, unless one of them is really desperate.)

So, what are the absolute qualities wanted? Let’s say, in the specific case of interviewing a DBA for a developer position: the understanding of the Query Optimizer and the techniques of T-SQL development are essential. From the point of view of the potential employee an absolute quality expected would be most likely the proper pay.

How do the absolute ends meet in the middle? Let’s say that the job candidate in the example above has great understanding of the QO, great T-SQL development skills, but has never worked with VLDBs and is consciously willing to improve in the area, simultaneously wanting to get as close as possible to his own ‘absolute end’ – the proper pay.

Here we enter a gray area where the two absolute ends would (hopefully) meet: the potential employer will suggest that the new experience would be of great value, the potential employee will acknowledge the fact, but will point out that it is in a way a long-term investment, and eventually the absolute ends will meet due to mutual compromise.

This is a simplified example, but in general the mechanics of negotiation flow by these rules.

How is hiring an employee similar to buying a car

A while back we decided to buy a car and we started looking at the dealerships around the city. It really amazed me how similar the process is to interviewing.

The simple truth about all cars we saw is that ‘all of them will take you from point A to point B’, however, the different cars…

  • … could take shorter or longer time
  • … can or cannot go off-roading (sometimes even the ones looking like they were designed for off-roading are not meant for that!)
  • … are more or less expensive on average per kilometer (a fast sports car can get me faster to point B, but dividing the price of the speeding tickets to the kilometers travelled would be an additional cost)
  • … and so on

During interviewing it is also very important for each side to note and calculate the capabilities, costs and timing of the other side and decide whether the ROI (time and effort nowadays are serious investment considerations!) is valuable enough.

And, of course, the potential employee has to have a potential to fit the team in a way which does not disrupt the morale or the rhythm.

Curiosity

For a moment I would like to get back to my previous article on Interviewing (http://blog.sqlauthority.com/2011/06/20/sqlauthority-news-job-interviewing-the-right-way-and-for-the-right-reasons-guest-post-by-feodor-georgiev/). In that article I made a point that the most valuable quality in a potential employee is the level of curiosity.

Curiosity indeed is a base quality, which – if mixed well with the proper incentives – can bring great results.

Again, this is valid for both employees and employers since, as I mentioned above, the absolute ends meet somewhere in the gray area, and eventually the gray area will have to get re-evaluated after some time. In this aspect curiosity is a very well paying investment.

Take this example: as I mentioned above, the DBA who has great database developer skills landed a great job despite their lack of experience with VLDBs and the agreement with the employer was that the initial pay would be a bit below the standard for the industry, but both parties agreed that re-evaluation will be performed in 6 months and adjustments will be made accordingly.

The employee is expected to invest time and effort in feeding their curiosity and, if the results are good, a shifting of incentives will happen at the end of the 6 month period.

Incentives vs. motivation

As I mentioned above, incentives have many implementations and are generally a very powerful force. The problem with incentives is though that they are always projected onto the individual person’s self-motivation and tend to manipulate it.

People (hence, employees) always have the free will to prioritize, according to the incentives.

The point is that a quality interview should cover the most important aspects of incentives-motivation relation.

So, to recap:

To wrap everything up and to make sense of what I have said so far I would like to do two things:

  • give a quick summary of the theoretical points and
  • write a list of suggestions to both sides of the interview table

Here are the points:

  • Incentives are the fuel of the interviewing, hiring and work processes;
  • The (accurate) relative evaluation of the weight of incentives vs. motivations determines the long-term relationship between both sides;
  • The curiosity is the investment, fed by the incentives;
  • The motivation is the final result of the mix between incentives and curiosity;

And hopefully the results are corresponding to the investments made during the interviewing process.

List of suggestions: (most of them are valid for both sides)

  • Remember, that the other side needs you as much as you need them, otherwise you would not be sitting there talking;
  • The interview is not a ‘one-way’ street, i.e. each side should be interviewing the other
  • A job interview is simply a negotiation of potential collaboration based on mutual incentives
  • There are no wrong questions, there are just questions asked at the wrong time and in the wrong way (well, except the illegal questions)
  • Money is just one form of incentive; try to negotiate with your potential employer / employee other incentives as well, for example: unlimited access to books on the work-related topic, funds for training, funds for certifications, conferences. The best part of other incentives besides money is that the employer will write it off taxes and the employee will not pay taxes on it (unlike when you pay / get money)
  • There is nothing wrong with saying ‘No’
  • There is nothing wrong with rejection (unless it is based on inadequate terms, i.e. racist, age, gender and other forms of discrimination);
  • Do not apply for jobs which are far below your level of expertise, unless you know that both sides are really desperate and there is no other choice
  • Do not hire employees which are far too qualified, unless you know that both sides are really desperate and there is no other choice
  • Promote yourself – add your achievements to your resume: blogging, public speaking, answering questions on forums; potential employers tend to appreciate any public activities and will tend to pick a candidate over another based on public value (given that both candidates have the same experience, same education, same skills etc. )
  • Promote your company and its current employees – create a company blog space and ask your employees to blog or express opinions freely; potential employees tend to see this as a positive sign
  • Don’t lose sleep over interviews; nervousness and your own imagination is your worst enemy
  • Never accept a job which is not clearly defined; ask questions about the role until it is completely clear or run as fast as you can (unless you are desperate)
  • Try to find out the reasons why the position is available (check professional social network sites for previous employees and do a quick trending of the employee flow through the position / department: how long do the employees stay in the position, what are their backgrounds, where are they working now and so on )
  • Don’t count on references; people tend to cheat on those. Instead, try to socialize or, if possible, try to get introduced to a current employee which can put a good word for you at the company. Most companies (the smarter ones) have company events, where employees are allowed to bring guests; there is no better opportunity than this to headhunt or to be headhunted
  • Try to find out what kind of people you will be working with: how many of them are experienced, curious and motivated, and how many of them are there ‘just for the ride’. I have noticed that the latter kind will just drain your energy with their repetitive questions, whereas the former kind of coworkers will most likely stimulate your professional advancement


Jacob Sebastian is a SQL Server MVP, Author, Speaker and my personal friend. Jacob is one of the top rated expert in SQL Community. Jacob wrote the book The Art of XSD – SQL Server XML Schema Collections and wrote the XML Chapter in SQL Server 2008 Bible. He has written following guest blog post to keep alive the spirit of Interview Questions and Answers Series. I encourage all the readers to participate in T-SQL Challenges.

I am very much impressed with the interview questions series Pinal has been doing since the beginning of this month. When he asked me whether I am interested to contribute, I readily agreed. I see that Pinal and various other contributors have done a good job covering several interesting SQL Server areas. I thought of adding a few question from the XML side for the sake of completeness.

The purpose of the questions and their answers given below is to ensure that the people who read them and learn them will get a basic understanding of the XML functionalities provided by SQL Server. SQL Server 2000 introduced a very interesting function OPENXML() which allowed us to read the content of an XML document from TSQL. SQL Server 2005 added more XML support by introducing XML data type, support for XQuery, XML Indexes and XML Schema Collections. Together, they provide a very power set of functionalities that empowers you to perform most of the XML processing requirements you might come across in your day-to-day programming life.

Most common XML operations can be classified into 3 categories.

  1. Read the content of an XML document and produce a result set
  2. Generate XML documents from relational data
  3. Validate the content of an XML document against a pre-defined schema/structure

SQL Server 2005 introduced support for all these operations by exposing a number of XML related features. XQuery support in TSQL allows you to read the content of XML documents. XQuery functions along with OPENROWSET(BULK…) can be used to access XML documents stored in the disk.

SQL Server 2000 introduced “FOR XML” which allows you to transform the result of a SELECT query into XML format. This is further enhanced in SQL Server 2005 to allow you create XML documents with almost any structure and shape.

SQL Server 2005 introduced XSD support in the form of XML Schema collections which allows you to describe and validate XML data type variables and columns.

The short set of questions and answers given below intend to summarize the basic XML functionalities that SQL Server provides.

What is XSD?

XSD stands for XML Schema Definition Language, which is a W3C standard specification that allows you to describe and validate and XML document. Once an XSD schema is created, a Schema Validator can verify an XML document against a schema and say whether the document follows the rules and structure defined in the XSD document.

What is XML Schema Collection?

XML Schema Collections are SQL Server database objects, just like objects like tables, views, stored procedures etc. An XML Schema Collection contains definition of one or more XSD documents. Once an XML Schema Collection is created, it can be used to validate XML data type values.

What is TYPED XML?

An XML data type value – variable or column – that is bound to an XML Schema Collection is known as TYPED XML. A TYPED XML variable or column should follow the validation rules defined in the XML Schema collection. When a TYPEX XML value is modified (or value is assigned), SQL Server will perform a schema validation and the assignment/modification will succeed only if the new value passes all the validation rules defined in the XML schema collection associated with it.

What is XQuery?

XQuery is a W3C recommended language for querying XML documents. In simple words, we could say, “XQuery is to XML, what SQL is to a relational database”. XQuery allows you to query and modify XML documents.

What are the advantages of using XQuery over OPENXML()?

XQuery can be used as part of a TSQL SET based operation. OPENXML can process only one XML document at a time where as XQuery can process more than one XML document in a single TSQL statement.

XQuery can be used to modify (insert/update/delete elements and attributes) or re-shape the XML document whereas OPENXML allows only reading XML data.

What is a FLWOR operation?

FLWOR stands for ‘For, Let, Where, Order By and Return’ which is an XQuery feature that allows you to perform complex operations on an XML document. The FLWOR operation allows you to iterate over the elements/attributes of an XML document and extract specific information from it or generate a completely new XML document.

How do you solve performance problems with XML operations?

There are no ‘correct’ answers to generic performance questions. A proper solution can be suggested only after examining the specific use case and environment. However, a few recommendations are as follows:

If you are dealing with UNTYPED XML, try to convert them to TYPED XML. When using TYPED XML values, SQL Server has got better understanding of the structure of the XML document, data types of elements and attributes etc. This allows SQL Server to process the XML document more efficiently.

XML Indexes can be used to speed up queries that read information from XML data type columns.


Please read the Introductory Post before continue reading interview question and answers. Complete List of all the Interview Questions and Answers Series blogs.

We have spent the last 30 days going over questions and answers you may come up against when you are being interviewed. Of course, I am only human and I can’t provide you with the answer to every question, or even the answer to every situation – because sometimes acing an interview is more than getting all the answers right.

Sometimes acing an interview is more about impressing the interviewer with your personality or with your reasoning abilities. Remember that you are probably being hired to work at a company with many other employers, so your interviewer is not only concerned with how much you know but how well you will work in a team.

Even if you are totally prepared and are a great team player, you might also just have the bad luck to have a cranky interviewer, accidentally say the wrong thing, or just have an “off” day. Here is my best advice for situations like that.

Bad Interviews

We all have bad days, it is part of life. Usually we are just unproductive or make a mistake that can be corrected later, and we can go on with our life. But if your bad day happens to fall during an interview, you may feel like you have ruined your entire life.

Having a bad interview can mean you don’t get the job, and this might have seemed like your dream job. You may beat yourself up afterwards about all the wrong things you did or said, and how nothing will ever go right for you.

The best advice for a situation like this is: treat it like just another bad day. Go on with your life. In the first place, the interview might not have gone as badly as you think. Sometimes the words might not come out of your mouth the way you want them to, but that doesn’t mean you sounded stupid to the interviewer. Keep your head up and think positive thoughts.

If the interview truly went badly and you know you did not get the job, then there is no reason to beat yourself up! The position might have seemed like your dream job – but remember the saying “God’s greatest gift is unanswered prayers.” We can’t see the future, and it may have turned out that you would have been miserable at the job anyway. Above all: do not let one bad interview make you lose your confidence. Keep going on interviewers – the worst that can happen is that you improve your interviewing skills.

When It’s Out of Your Control

Sometimes a bad interview happens because you weren’t prepared. Well, if you have been keeping up with our 30 days of Questions and Answers, then you will probably be the most prepared candidate! That means that sometimes an interview goes wrong and it’s not your fault.

The biggest thing that can be out of control is nervousness. Everyone says “just relax!” but sometimes it is not that easy. If you think you are going to be nervous about an interview, take time before that day to figure out how to calm your nerves. You might need to take a long walk, or just relax with a book or movie to take your mind off of it. Make sure you are well prepared beforehand so that you won’t be trying to cram information into your brain 10 minutes before the interview. Practice relaxing before the interview day, so that you can calm yourself down while you wait in the office or lobby. And, of course, make sure you know how to get to the interview place so that you don’t get lost!

Another thing that is completely out of your control – other people. The interviewer may ask you a question you just don’t know the answer to. This can be something out of your expertise, or a detail about something that you have forgotten. If this happens, do not panic. If you have no experience with the subject in question, don’t lie! Answer truthfully, but also add that you would be willing to learn the procedure, or are planning on training. If it a small detail you can’t quite remember, offer to look up the information and let them know at a later time. Many interviewers will give you a business card or at least a phone number, so you can provide this information to them when you leave the interview, and also look like a dedicated employee.

Not only can you not control the interviewer’s questions, you also cannot control their personality. Sometimes you will simply meet a person who is not very nice. The best thing to do in this situation – be polite and get out of there as quickly as you can! The interviewer may be mean because they are just that kind of person – or they could be testing you. Don’t lose your temper, but answer calmly and demonstrate your ability to deal with unpleasant people. If you are good at diffusing situations with humor, try that. The interviewer might be trying to see how you work under pressure.

Interview Tips and Tricks

Acing an interview can be about more than just knowing the answers to all the technical questions. No matter what your field is, there are certain things you should know before you go into an interview.

  1. Know the Company. If you stroll into an interview not knowing one thing about what the company does or anything more than just their name, you might be in for a nasty surprise. Learn all you can about the company, this can help you decide if you’d like the job, and even help you come up with questions for the interviewer, which will impress them.
  2. Do Not Lie. Your mother always taught you that lying is bad, and this is still true today! Not only will lies get you in trouble when they are found out, but research shows that people can tell when you are lying. Especially if you are being interviewed by someone in Human Resources, they have a lot of experience with people and will probably be able to read your body language to know you just made something up.
  3. Politely Brag! Bragging is not the same as lying. Interviews are the one time in your life where you will get to talk about how great you are without someone thinking you are a jerk. Don’t be afraid to volunteer information about your talents and strengths, or details about a project you really did well on.
  4. Be Memorable. The sad truth about the job market is that when you apply for a job, you might be competing against hundreds of similar applicants. If you are lucky enough to get an interview, you will want to stand out from the crowd. The best way to make yourself memorable is with a funny story or personal details. Try to find a way to slip your favorite hobby into the conversation, or a funny joke. Just make sure that it is something you wouldn’t be ashamed to say in front of your grandmother.
  5. Don’t Rush. Sometimes when we are nervous, we might start talking too fast. This can happen to anyone. You might end up sounding very nervous, or even unknowledgeable. The best way to combat this is to take a deep breath before you answer every question. Don’t be afraid to think about your answers for a second – this will make you seem like a very thoughtful employee. If you don’t understand the question, don’t be afraid to ask for clarification. It will be better than giving a very silly answer.

The “Difficult” Question

The technology giants hire a lot of people, and by all accounts they are a great company to work for. Their employees are often very smart, highly motivated, and can think outside the box. So how did they end up with such great employees? They ask very strange interview questions!

Imagine going into an interview for a simple engineering position, and being asked why manhole covers are round. You won’t be working with manholes, so why does this question matter? It is a test of how well you can think logically – and under pressure. The answer is: a round cover will not fall through into a round hole, no matter the configuration, while any other shape could twist and fall into the sewer and possibly injure workers below. The answer seems simple when you hear it, right?

More and more companies are learning that these kinds of questions can weed the good employees from the bad. If you are asked a weird interview questions, what is the first thing you should do? Not panic!

Remember, the interviewer does not expect you to immediately know the answer, this isn’t a trivia quiz it is a test of rational thinking. If you blurt out the answer, they will probably just come up with another one. Also, the question might not have a real answer. The best thing to do is sit and think about the question logically, and try to come up with an answer that will show your mental process. It is like in mathematics – show your work!

Conclusion

So – do you feel ready for your interview? I hope your answer is “mostly.” Just remember that interviews are kind of like a test about life. Unlike tests in school, you can never be 100% prepared, because you cannot control life. But if you are 99% prepared, you will be a great interview candidate.


Sql Questions (Special)

4) Data Warehousing Concepts Interview Questions & Answers

What is Data Warehousing?

A data warehouse is the main repository of an organization’s historical data, its corporate memory. It contains the raw material for management’s decision support system. The critical factor leading to the use of a data warehouse is that a data analyst can perform complex queries and analysis, such as data mining, on the information without slowing down the operational systems (Ref: Wikipedia). Data warehousing collection of data designed to support management decision making. Data warehouses contain a wide variety of data that present a coherent picture of business conditions at a single point in time. It is a repository of integrated information, available for queries and analysis.

What is Business Intelligence (BI)?

Business Intelligence (BI) refers to technologies, applications and practices for the collection, integration, analysis, and presentation of business information and sometimes to the information itself. The purpose of BI is to support better business decision making. Thus, BI is also described as a decision support system (DSS).

BI systems provide historical, current, and predictive views of business operations, most often using data that has been gathered into a data warehouse or a data mart and occasionally working from operational data.

What is a Dimension Table?

Dimensional table contains textual attributes of measurements stored in the facts tables. Dimensional table is a collection of hierarchies, categories and logic which can be used for user to traverse in hierarchical nodes.

What is Dimensional Modeling?

Dimensional data model concept involves two types of tables and it is different from the 3rd normal form. This concept uses Facts table, which contains the measurements of the business, and Dimension table, which contains the context (dimension of calculation) of the measurements.

What is a Fact Table?

Fact table contains measurements of business process. Fact table contains the foreign keys for the dimension tables. For instance, if your business process is ’paper production’, ‘average production of paper by one machine’ or ‘weekly production of paper’ will be considered as the measurement of business process.

What are the Fundamental Stages of Data Warehousing?

There are four different fundamental stages of Data Warehousing.

Offline Operational Databases:

Data warehouses in this initial stage are developed by simply copying the database of an operational system to an off-line server where the processing load of reporting does not impact on the operational system’s performance.

Offline Data Warehouse:

Data warehouses in this stage of evolution are updated on a regular time cycle (usually daily, weekly or monthly) from the operational systems, and the data is stored in an integrated reporting-oriented data structure

Real Time Data Warehouse:

Data warehouses at this stage are updated on a transaction or event basis, every time an operational system performs a transaction (e.g. an order or a delivery or a booking)

Integrated Data Warehouse:

Data warehouses at this stage are used to generate activity or transactions that are passed back into the operational systems for use in the daily activity of the organization.
(Reference: Wikipedia)

What are the Different Methods of Loading Dimension tables?

There are two different ways to load data in dimension tables.

Conventional (Slow):

All the constraints and keys are validated against the data before it is loaded; this way data integrity is maintained.

Direct (Fast):

All the constraints and keys are disabled before the data is loaded. Once data is loaded, it is validated against all the constraints and keys. If data is found invalid or dirty, it is not included in index, and all future processes on this data are skipped.

Describes the Foreign Key Columns in Fact Table and Dimension Table?

Foreign keys of dimension tables are primary keys of entity tables.
Foreign keys of facts tables are primary keys of Dimension tables.

What is Data Mining?

Data Mining is the process of analyzing data from different perspectives and summarizing it into useful information.

What is the Difference between a View and a Materialized View?

A view takes the output of a query and makes it appear like a virtual table; and it can be used in place of tables.
A materialized view provides indirect access to table data by storing the results of a query in a separate schema object.

What is OLTP?

OLTP is abbreviation of On-Line Transaction Processing. This system is an application that modifies data At the very instant it is received and has a large number of concurrent users.

What is OLAP?

OLAP is abbreviation of Online Analytical Processing. This system is an application that collects, manages, processes and presents multidimensional data for analysis and management purposes.

What is the Difference between OLTP and OLAP?

Data Source

OLTP: Operational data is from original data source of the data
OLAP: Consolidation data is from various sources.

Process Goal

OLTP: Snapshot of business processes which do fundamental business tasks
OLAP: Multi-dimensional views of business activities of planning and decision making

Queries and Process Scripts

OLTP: Simple quick running queries ran by users.
OLAP: Complex long running queries by system to update the aggregated data.

Database Design

OLTP: Normalized small database. Speed will be not an issue because of a small database, and normalization will not degrade performance. This adopts the entity relationship (ER) model and an application-oriented database design.

OLAP: De-normalized large database. Speed is an issue because of a large database and de-normalizing will improve performance as there will be less tables to scan while performing tasks. This adopts star, snowflake or fact constellation mode of subject-oriented database design.

Back up and System Administration

OLTP: Regular Database backup and system administration can do the job.
OLAP: Reloading the OLTP data is considered as a good backup option.

What are Normalization Forms?

There are different types of normalization forms such as

1NF: Eliminate Repeating Groups
Make a separate table for each set of related attributes, and give each table a primary key. Each field contains at most one value from its attribute domain.

2NF: Eliminate Redundant Data
If an attribute depends on only part of a multi-valued key, remove it to a separate table.

3NF: Eliminate Columns Not Dependent On Key
If attributes do not contribute to a description of the key, then remove them to a separate table. All attributes must be directly dependent on the primary key

BCNF: Boyce-Codd Normal Form
If there are non-trivial dependencies between candidate key attributes, then separate them out into distinct tables.

4NF: Isolate Independent Multiple Relationships
No table may contain two or more 1:n or n:m relationships that are not directly related.

5NF: Isolate Semantically Related Multiple Relationships
There may be practical constrains on information that justify separating logically related many-to-many relationships.

ONF: Optimal Normal Form
A model limited to only simple (elemental) facts, as expressed in Object Role Model notation.

DKNF: Domain-Key Normal Form
A model free from all modification anomalies.

Remember, these normalization guidelines are cumulative. For a database to be in 3NF, it must first fulfill all the criteria of a 2NF and 1NF database.

What is ODS?

ODS is the abbreviation of Operational Data Store ‑ a database structure that is a repository for near real-time operational data rather than long-term trend data. The ODS may further become the enterprise-shared operational database, allowing operational systems that are being re-engineered to use the ODS as their operation databases.

What is ER Diagram?

Entity Relationship (ER) Diagrams are a major data modeling tool and will help organize the data in your project into entities and define the relationships between the entities. This process has enabled the analyst to produce a good database structure so that the data can be stored and retrieved in a most efficient manner.

An entity-relationship (ER) diagram is a specialized graphic that illustrates the interrelationships between entities in a database. A type of diagram used in data modeling for relational data bases. These diagrams show the structure of each table and the links between tables.

What is ETL?

ETL is abbreviation of extract, transform, and load. ETL is software that enables businesses to consolidate their disparate data while moving it from place to place, and it doesn’t really matter that that data is in different forms or formats. The data can come from any source. ETL is powerful enough to handle such data disparities. First, the extract function reads data from a specified source database and extracts a desired subset of data. Next, the transform function works with the acquired data – using rules or lookup tables, or creating combinations with other data – to convert it to the desired state. Finally, the load function is used to write the resulting data to a target database.

What is VLDB?

VLDB is abbreviation of Very Large Database. For instance, a one-terabyte database can be considered as a VLDB. Typically, these are decision support systems or transaction processing applications serving a large number of users.

Is OLTP Database is Design Optimal for Data Warehouse?

No. OLTP database tables are normalized, and it will add additional time to queries to return results. Additionally, the OLTP database is small; it does not contain data from a long period (many years), which needs to be analyzed. A OLTP system is basically an ER model and not a Dimensional Model. If a complex query is executed on an OLTP system, it may lead to heavy overhead on the OLTP server that will affect the normal business processes.

If denormalizing improves Data Warehouse Processes, then why is the Fact Table is in the Normal Form?

The foreign keys of facts tables are primary keys of Dimension tables. It is clear that the fact table contains columns which are a primary key to another table that itself make a normal form table.

What are Lookup Tables?

A lookup table is the table placed on the target table based upon the primary key of the target; it just updates the table by allowing only modified (new or updated) records based on the lookup condition.

What are Aggregate Tables?

An aggregate table contains the summary of existing warehouse data, which is grouped to certain levels of dimensions. It is always easy to retrieve data from aggregated tables than visiting original table which has millions of records. Aggregate tables reduce the load in the database server and improve the performance of the query, and they also can retrieve the result quickly.

What is Real-Time Data-Warehousing?

Data warehousing captures business activity data. Real-time data warehousing captures business activity data as it occurs. As soon as the business activity is complete and there is data about it, the completed activity data flows into the data warehouse and becomes available instantly.

What are Conformed Dimensions?

Conformed dimensions mean the exact same thing with every possible fact table to which they are joined. They are common to the cubes.

What is a Conformed Fact?

Conformed dimensions are the dimensions which can be used across multiple Data Marts in combination with multiple facts tables accordingly.

How do you Load the Time Dimension?

Time dimensions are usually loaded by a program that loops through all possible dates that may appear in the data. 100 years may be represented in a time dimension, with one row per day.

What is a Level of Granularity of a Fact Table?

Level of granularity means the level of detail that you put into the fact table in a data warehouse. Level of granularity implies the detail you are willing to put for each transactional fact.

What are Non-Additive Facts?

Non-additive facts are facts that cannot be summed up for any of the dimensions present in the fact table. However, they are not considered as useless. If there are changes in dimensions, the same facts can be useful.

What is a Factless Facts Table?

A fact table that does not contain numeric fact columns is called a factless facts table.

What are Slowly Changing Dimensions (SCD)?

SCD is the abbreviation of slowly changing dimensions. SCD applies to cases where the attribute for a record varies over time. There are three different types of SCD.

  1. SCD1: The new record replaces the original record. Only one record exists in database – current data.
  2. SCD2: A new record is added into the customer dimension table. Two records exist in the database – current data and previous history data.
  3. SCD3: The original data is modified to include new data. One record exists in database – new information is attached with old information in same row.

What is Hybrid Slowly Changing Dimension?

Hybrid SCDs are combination of both SCD 1 and SCD 2. It may happen that in a table, some columns are important and we need to track changes for them, i.e. capture the historical data for them, whereas in some columns even if the data changes, we do not care.

What is BUS Schema?

BUS Schema consists of a master suite of confirmed dimension and standardized definition of facts.

What is a Star Schema?

Star schema is a type of organizing the tables such that we can retrieve the result from the database quickly in the warehouse environment.

What Snow Flake Schema?

In Snowflake Schema, each dimension has a primary dimension table, to which one or more additional dimensions can join. The primary dimension table is the only table that can join to the fact table.

Differences between the Star and Snowflake Schema?

Star schema: A single fact table with N number of dimensions; all dimensions will be linked directly with a fact table. This schema is de-normalized and results in simple join and less complex query as well as faster results.

Snow schema: Any dimension with extended dimensions is known as snowflake schema; dimensions maybe interlinked or may have one-to-many relationship with other tables. This schema is normalized, and results in complex join leading very complex query (as well as slower results).

What is Difference between ER Modeling and Dimensional Modeling?

ER modeling is used for normalizing the OLTP database design. Dimensional modeling is used for de-normalizing the ROLAP/MOLAP design.

What is Degenerate Dimension Table?

If a table contains values, which are neither dimension nor measures, then it is called a degenerate dimension table.

Why is Data Modeling Important?

Data modeling is probably the most labor intensive and time consuming part of the development process. The goal of the data model is to make sure that the all data objects required by the database are completely and accurately represented. Because the data model uses easily understood notations and natural language, it can be reviewed and verified as correct by the end users.

In computer science, data modeling is the process of creating a data model by applying a data model theory to create a data model instance. A data model theory is a formal data model description. In data modeling, we are structuring and organizing data. These data structures are then typically implemented in a database management system. In addition to defining and organizing the data, data modeling will impose (implicitly or explicitly) constraints or limitations on the data placed within the structure.

Managing large quantities of structured and unstructured data is a primary function of information systems. Data models describe structured data for storage in data management systems such as relational databases. They typically do not describe unstructured data, such as word processing documents, email messages, pictures, digital audio, and video. (Reference: Wikipedia)

What is a Surrogate Key?

A surrogate key is a substitution for the natural primary key. It is just a unique identifier or number for each row that can be used for the primary key to the table. The only requirement for a surrogate primary key is that it should be unique for each row in the table. It is useful because the natural primary key can change and this makes updates more difficult. Surrogated keys are always integer or numeric.

What is Junk Dimension?

A number of very small dimensions may get lumped together to form a single dimension, i.e. a junk dimension – the attributes are not closely related. Grouping of Random flags and text Attributes in a dimension and moving them to a separate sub dimension is known as junk dimension.

What is a Data Mart?

A data mart (DM) is a specialized version of a data warehouse (DW). Like data warehouses, data marts contain a snapshot of operational data that helps business people to strategize based on analyses of past trends and experiences. The key difference is that the creation of a data mart is predicated on a specific, predefined need for a certain grouping and configuration of select data. A data mart configuration emphasizes easy access to relevant information (Reference: Wiki). Data Marts are designed to help the manager make strategic decisions about their business.

What is the Difference between OLAP and Data Warehouse?

Data Warehouse is the place where the data is stored for analysis, whereas OLAP is the process of analyzing the data, managing aggregations, partitioning information into cubes for in depth visualization.

What is a Cube and Linked Cube with Reference to Data Warehouse?

Cubes are logical representation of multidimensional data. The edge of the cube contains dimension members and the body of the cube contains data values. The linking in cube ensures that the data in the cubes remain consistent.

What is Snapshot with Reference to Data Warehouse?

You can disconnect the report from the catalog to which it is attached by saving the report with a snapshot of the data.

What is Active Data Warehousing?

An active data warehouse provides information that enables decision-makers within an organization to manage customer relationships nimbly, efficiently and proactively.

What is the Difference between Data Warehousing and Business Intelligence?

Data warehousing deals with all aspects of managing the development, implementation and operation of a data warehouse or data mart, including meta data management, data acquisition, data cleansing, data transformation, storage management, data distribution, data archiving, operational reporting, analytical reporting, security management and backup/recovery planning. Business intelligence, on the other hand, is a set of software tools that enable an organization to analyze measurable aspects of their business such as sales performance, profitability, operational efficiency, effectiveness of marketing campaigns, market penetration among certain customer groups, cost trends, anomalies and exceptions. Typically, the term ’business intelligence’ is used to encompass OLAP, data visualization, data mining and query/reporting tools. (Reference: Les Barbusinski)

What is MDS?

Master Data Services or MDS helps enterprises standardize the data people rely on to make critical business decisions. With Master Data Services, IT organizations can centrally manage critical data assets companywide and across diverse systems, enable more people to securely manage master data directly, and ensure the integrity of information over time. (Read more here)

Explain the Paradigm of Bill Inmon and Ralph Kimball.

Bill Inmon’s paradigm: Data warehouse is one part of the overall business intelligence system. An enterprise has one data warehouse, and data marts source their information from the data warehouse. In the data warehouse, information is stored in the 3rd normal form.

Ralph Kimball’s paradigm: Data warehouse is the conglomerate of all data marts within the enterprise. Information is always stored in the dimensional model.

Sql Questions 4

What are the Advantages of Using CTE?

  • Using CTE improves the readability and enables easy maintenance of complex queries.
  • The query can be divided into separate, simple, and logical building blocks, which can be then used to build more complex CTEs until the final result set is generated.
  • CTE can be defined in functions, stored procedures, triggers or even views.
  • After a CTE is defined, it can be used as a Table or a View and can SELECT, INSERT, UPDATE or DELETE Data.

How can we Rewrite Sub-Queries into Simple Select Statements or with Joins?

Yes. We can rewrite sub-queries using the Common Table Expression (CTE). A Common Table Expression (CTE) is an expression that can be thought of as a temporary result set which is defined within the execution of a single SQL statement. A CTE is similar to a derived table in that it is not stored as an object and lasts only for the duration of the query.

e.g.
USE
AdventureWorks
GO
WITH EmployeeDepartment_CTE AS (
SELECT EmployeeID,DepartmentID,ShiftID
FROM HumanResources.EmployeeDepartmentHistory
)
SELECT ecte.EmployeeId,ed.DepartmentID, ed.Name,ecte.ShiftID
FROM HumanResources.Department ed
INNER JOIN EmployeeDepartment_CTE ecte ON ecte.DepartmentID = ed.DepartmentID
GO

What is CLR?

In SQL Server 2008, SQL Server objects such as user-defined functions can be created using such CLR languages. This CLR language support extends not only to user-defined functions, but also to stored procedures and triggers. You can develop such CLR add-ons to SQL Server using Visual Studio 2008. (Read more here)

What are Synonyms?

Synonyms give you the ability to provide alternate names for database objects. You can alias object names; for example, using the Employee table as Emp. You can also shorten names. This is especially useful when dealing with three and four part names; for example, shortening server.database.owner.object to object. (Read more here)

What is LINQ?

Language Integrated Query (LINQ) adds the ability to query objects using .NET languages. The LINQ to SQL object/relational mapping (O/RM) framework provides the following basic features:

  • Tools to create classes (usually called entities) mapped to database tables
  • Compatibility with LINQ’s standard query operations
  • The DataContext class with features such as entity record monitoring, automatic SQL statement generation, record concurrency detection, and much more

What are Isolation Levels?

Transactions specify an isolation level that defines the degree to which one transaction must be isolated from resource or data modifications made by other transactions. Isolation levels are described in terms of which concurrency side-effects, such as dirty reads or phantom reads, are allowed.

Transaction isolation levels control the following:

  • Whether locks are taken when data is read, and what type of locks are requested.
  • How long the read locks are held.
  • Whether a read operation referencing rows modified by another transaction
    • blocks until the exclusive lock on the row is freed,
    • retrieves the committed version of the row that existed at the time the statement or transaction started, and
    • reads the uncommitted data modification.(Read more here)

What is Use of EXCEPT Clause?

EXCEPT clause is similar to MINUS operation in Oracle. The EXCEPT query and MINUS query return all rows in the first query that are not returned in the second query. Each SQL statement within the EXCEPT query and MINUS query must have the same number of fields in the result sets with similar data types. (Read more here)

What is XPath?

XPath uses a set of expressions to select nodes to be processed. The most common expression that you’ll use is the location path expression, which returns back a set of nodes called a node set. XPath can use both an unabbreviated and abbreviated syntax. The following is the unabbreviated syntax for a location path:

/axisName::nodeTest[predicate]/axisName::nodeTest[predicate]

What is NOLOCK?

Using the NOLOCK query optimizer hint is generally considered a good practice in order to improve concurrency on a busy system. When the NOLOCK hint is included in a SELECT statement, no locks are taken on data when data is read. The result is a Dirty Read, which means that another process could be updating the data at the exact time you are reading it. There are no guarantees that your query will retrieve the most recent data. The advantage to performance is that your reading of data will not block updates from taking place, and updates will not block your reading of data. SELECT statements take Shared (Read) locks. This means that multiple SELECT statements are allowed simultaneous access, but other processes are blocked from modifying the data. The updates will queue until all the reads have completed, and reads requested after the update will wait for the updates to complete. The result to your system is delay (blocking). (Read more here)

What is the Difference between Update Lock and Exclusive Lock?

When Exclusive Lock is on any process, no other lock can be placed on that row or table. Every other process have to wait till Exclusive Lock completes its tasks.

Update Lock is a type of Exclusive Lock, except that it can be placed on the row which already has Shared Lock on it. Update Lock reads the data of the row which has the Shared Lock as soon as the Update Lock is ready to change the data it converts itself to the Exclusive Lock.

How will you Handle Error in SQL SERVER 2008?

SQL Server now supports the use of TRY…CATCH constructs for providing rich error handling. TRY…CATCH lets us build error handling at the level we need, in the way we need to by setting a region where if any error occurs, it will break out of the region and head to an error handler. The basic structure is as follows:

BEGIN TRY <code> END TRY BEGIN CATCH <code> END CATCH

So if any error occurs in the TRY block, then execution is diverted to the CATCH block, and the error can be resolved.

What is RAISEERROR?

RaiseError generates an error message and initiates error processing for the session. RAISERROR can either reference a user-defined message stored in the sys.messages catalog view or build a message dynamically. The message is returned as a server error message to the calling application or to an associated CATCH block of a TRY…CATCH construct. (Read more here)

How to Rebuild the Master Database?

Master database is system database and it contains information about running server’s configuration. When SQL Server 2005 is installed, it usually creates master, model, msdb, tempdb, resourcedb and the distribution system database by default. Only the Master database is the one which is absolutely a must-have database. Without the Master database, the SQL Server cannot be started. This is the reason why it is extremely important to backup the Master database.

To rebuild the Master database, run Setup.exe, verify, and repair a SQL Server instance, and rebuild the system databases. This procedure is most often used to rebuild the master database for a corrupted installation of SQL Server. (Read more here)

What is the XML Datatype?

The xml data type lets you store XML documents and fragments in a SQL Server database. An XML fragment is an XML instance that has a missing single top-level element. You can create columns and variables of the xml type and store XML instances in them. The xml data type and associated methods help integrate XML into the relational framework of SQL Server.

What is Data Compression?

In SQL SERVE 2008, Data Compression comes in two flavors:

  • Row Compression
  • Page Compression

Row Compression

Row compression changes the format of physical storage of data. It minimize the metadata (column information, length, offsets etc) associated with each record. Numeric data types and fixed-length strings are stored in variable-length storage format, just like Varchar. (Read more here)

Page Compression

Page compression allows common data to be shared between rows for a given page. It uses the following techniques to compress data:

  • Row compression.
  • Prefix Compression. For every column in a page, duplicate prefixes are identified. These prefixes are saved in compression information headers which resides after the page header. A reference number is assigned to these prefixes and that reference number is replaced where ever those prefixes are being used.

Dictionary Compression

Dictionary compression searches for duplicate values throughout the page and stores them in CI. The main difference between prefix and dictionary compression is that the former is only restricted to one column while the latter is applicable to the complete page.

What is Use of DBCC Commands?

The Transact-SQL programming language provides DBCC statements that act as Database Console Commands for SQL Server. DBCC commands are used to perform the following tasks.

  • Maintenance tasks on database, index, or filegroup.
  • Tasks that gather and display various types of information.
  • Validation operations on a database, table, index, catalog, filegroup, or allocation of database pages.
  • Miscellaneous tasks such as enabling trace flags or removing a DLL from memory. (Read more here)

How to Copy the Tables, Schema and Views from one SQL Server to Another?

There are multiple ways to do this.

  1. “Detach Database” from one server and “Attach Database” to another server.
  2. Manually script all the objects using SSMS and run the script on a new server.
  3. Use Wizard of SSMS. (Read more here)

How to Find Tables without Indexes?

Run the following query in the Query Editor.

USE <database_name>;
GO
SELECT SCHEMA_NAME(schema_id) AS schema_name
,name AS table_name
FROM sys.tables
WHERE OBJECTPROPERTY(OBJECT_ID,'IsIndexed') = 0
ORDER BY schema_name, table_name;
GO

How to Copy Data from One Table to Another Table?

There are multiple ways to do this.

1) INSERT INTO SELECT

This method is used when table is already created in the database earlier and data have to be inserted into this table from another table. If columns listed in the INSERT clause and SELECT clause are same, listing them is not required.

2) SELECT INTO

This method is used when table is not created earlier and it needs to be created when data from one table must be inserted into a newly created table from another table. The new table is created using the same data types as those in selected columns. (Read more here)

What is Catalog Views?

Catalog views return information that is used by the SQL Server Database Engine. Catalog Views are the most general interface to the catalog metadata and provide the most efficient way to obtain, transform, and present customized forms of this information. All user-available catalog metadata is exposed through catalog views.

What is PIVOT and UNPIVOT?

A Pivot Table can automatically sort, count, and total the data stored in one table or spreadsheet and create a second table displaying the summarized data. The PIVOT operator turns the values of a specified column into column names, effectively rotating a table.

In simpler word UNPIVOT table is reverse of PIVOT Table, however it is not exactly true. UNPIVOTING is for sure reverse operation to PIVOTING but if during PIVOTING process data aggregated the UNPIVOT table does not return to original table. (Read more here)

What is a Filestream?

Filestream allows you to store large objects in the file system and have these files integrated within the database. It enables SQL Server-based applications to store unstructured data such as documents, images, audios and videos in the file system. FILESTREAM basically integrates the SQL Server Database Engine with New Technology File System (NTFS); it basically stores the data in varbinary (max) data type. Using this data type, the unstructured data is stored in the NTFS file system, and the SQL Server Database Engine manages the link between the Filestream column and the actual file located in the NTFS. Using Transact-SQL statements users can insert, update, delete and select the data stored in FILESTREAM-enabled tables.

What is SQLCMD?

sqlcmd is enhanced version of the isql and osql, and it provides way more functionality than other two options. In other words, sqlcmd is better replacement of isql (which will be deprecated eventually) and osql (not included in SQL Server 2005 RTM). sqlcmd can work in two modes – i) BATCH and ii) interactive modes. (Read more here)

What do you mean by TABLESAMPLE?

TABLESAMPLE allows you to extract a sampling of rows from a table in the FROM clause. The rows retrieved are random and they are not in any order. This sampling can be based on a percentage of number of rows. You can use TABLESAMPLE when only a sampling of rows is necessary for the application instead of a full result set. (Read more here)

What is ROW_NUMBER()?

ROW_NUMBER() returns a column as an expression that contains the row’s number within the result set. This is only a number used in the context of the result set; if the result changes, the ROW_NUMBER() will change.

What are Ranking Functions?

Ranking functions return a ranking value for each row in a partition. All the ranking functions are non-deterministic. The different Ranking functions are as follows:

ROW_NUMBER () OVER ([] )
Returns the sequential number of a row within a partition of a result set, starting at 1 for the first row in each partition.

RANK () OVER ([] )
Returns the rank of each row within the partition of a result set.

DENSE_RANK () OVER ([] )
Returns the rank of rows within the partition of a result set, without any gaps in the ranking. (Read more here )

What is Change Data Capture (CDC) in SQL Server 2008?

Change Data Capture (CDC) records INSERTs, UPDATEs, and DELETEs applied to SQL Server tables and makes a record available of what changed, where, and when, in simple relational ‘change tables’ rather than in an esoteric chopped salad of XML. These change tables contain columns that reflect the column structure of the source table you have chosen to track along with the metadata needed to understand the changes that have been made.

3) Questions on SQL SERVER 2008

What are the basic functions for master, msdb, model, tempdb and resource databases?

The master database holds information for all the databases located on the SQL Server instance, and it is the glue that holds the engine together. Because SQL Server cannot start without a functioning master database, you must administer this database with care.

The msdb database stores information regarding database backups, SQL Agent information, DTS packages, SQL Server jobs, and some replication information such as for log shipping.

The tempdb holds temporary objects such as global and local temporary tables and stored procedures.

The model is essentially a template database used in the creation of any new user database created in the instance.

The resource Database is a read-only database that contains all the system objects that are included in the SQL Server. SQL Server system objects such as sys.objects are physically persisted in the Resource database, but they logically appear in the sys schema of every database. The Resource database does not contain user data or user metadata.

What is the Maximum Number of Index per Table?

For SQL Server 2005:

1 Clustered Index + 249 Nonclustered Index = 250 Index.

For SQL Server 2008:

1 Clustered Index + 999 Nonclustered Index = 1000 Index. (Read more here)

Explain Few of the New Features of SQL Server 2008 Management Studio

SQL Server 2008 Microsoft has upgraded SSMS with many new features as well as added tons of new functionalities requested by DBAs for long time.

A few of the important new features are as follows:

  • IntelliSense for Query Editing
  • Multi Server Query
  • Query Editor Regions
  • Object Explorer Enhancements
  • Activity Monitors

Explain IntelliSense for Query Editing:

After implementing IntelliSense, we will not have to remember all the syntax or browse online references. IntelliSense offers a few additional features besides just completing the keyword.

Explain MultiServer Query:

SSMS 2008 has a feature to run a query on different servers from one query editor window. First of all, make sure that you registered all the servers under your registered server. Once they are registered, right click on server group name and click New Query.

e.g. for server version information,

SELECT
SERVERPROPERTY('Edition') AS Edition,
SERVERPROPERTY('ProductLevel') AS ProductLevel,
SERVERPROPERTY('ProductVersion') AS ProductVersion

Explain Query Editor Regions:

When the T-SQL code is more than hundreds of lines, after a while, it becomes more and more confusing.

The regions are defined by the following hierarchy:

From first GO command to the next GO command.

Statements between BEGIN – END, BEGIN TRY – END TRY, BEGIN CATCH – END CATCH

Explain Object Explorer Enhancements:

In Object Explorer Detail, the new feature is Object Search. Enter any object name in the object search box and the searched result will be displayed in the same window as Object Explorer Detail.

Additionally, there are new wizards which help you perform several tasks, from policy management to disk monitoring. One cool thing is that everything displayed in the object explorer details screen can be right away copied and pasted to Excel without any formatting issue.

Explain Activity Monitors:

There are four graphs

  • percent; Processor Time,
  • Waiting Tasks,
  • Database I/O,
  • Batch Requests/Sec
All the four tabs provide very important information; however, the one which I refer most is “Recent Expensive Queries.” Whenever I find my server running slow or having any performance-related issues, my first reaction is to open this tab and see which query is running slow. I usually look at the query with the highest number for Average Duration. The Recent Expensive Queries monitors only show queries which are in the SQL Server cache at that moment. (Read more here)

What is Service Broker?

Service Broker is a message-queuing technology in SQL Server that allows developers to integrate SQL Server fully into distributed applications. Service Broker is a feature which provides facility to SQL Server to send an asynchronous, transactional message. It allows a database to send a message to another database without waiting for the response; so the application will continue to function if the remote database is temporarily unavailable. (Read more here)

Where are SQL server Usernames and Passwords Stored in the SQL server?

They get stored in System Catalog Views, sys.server_principals and sys.sql_logins. However, you will not find password stored in plain text.

What is Policy Management?

Policy Management in SQL SERVER 2008 allows you to define and enforce policies for configuring and managing SQL Server across the enterprise. Policy-Based Management is configured in SQL Server Management Studio (SSMS). Navigate to the Object Explorer and expand the Management node and the Policy Management node; you will see the Policies, Conditions, and Facets nodes. (Read More Here)

What is Database Mirroring?

Database mirroring can be used with replication to provide availability for the publication database. Database mirroring involves two copies of a single database that typically reside on different computers. At any given time, only one copy of the database is currently available to clients, which is known as the principal database. Updates made by the clients to the principal database are applied to the other copy of the database, known as the mirror database. Mirroring involves applying the transaction log from every insertion, update, or deletion made on the principal database onto the mirror database.

What are Sparse Columns?

A sparse column is another tool used to reduce the amount of physical storage used in a database. They are the ordinary columns that have an optimized storage for null values. Sparse columns reduce the space requirements for null values at the cost of more overhead to retrieve non-null values. (Read more here)

What does TOP Operator Do?

The TOP operator is used to specify the number of rows to be returned by a query. The TOP operator has new addition in SQL SERVER 2008 that it accepts variables as well as literal values and can be used with INSERT, UPDATE, and DELETE statements.

What is CTE?

CTE is the abbreviation for Common Table Expression. A CTE is an expression that can be thought of as a temporary result set which is defined within the execution of a single SQL statement. A CTE is similar to a derived table in that it is not stored as an object and lasts only for the duration of the query. (Read more here)

What is MERGE Statement?

MERGE is a new feature that provides an efficient way to perform multiple DML operations. In previous versions of SQL Server, we had to write separate statements to INSERT, UPDATE, or DELETE data based on certain conditions, but now, using MERGE statement, we can include the logic of such data modifications in one statement that even checks when the data is matched, then just update it, and when unmatched, insert it. One of the most important advantages of MERGE statement is all the data is read and processed only once. (Read more here)

What is Filtered Index?

Filtered Index is used to index a portion of rows in a table that means it applies filter on INDEX which improves query performance, reduces index maintenance costs, and reduces index storage costs when compared with full-table indexes. When we see an Index created with a WHERE clause, then that is actually a FILTERED INDEX.

Which are the New Data Types Introduced in SQL SERVER 2008?

The GEOMETRY Type: The GEOMETRY datatype is a system .NET common language runtime (CLR) datatype in SQL Server. This type represents data in a two-dimensional Euclidean coordinate system.

The GEOGRAPHY Type: The GEOGRAPHY datatype’s functions are the same as with GEOMETRY. The difference between the two is that when you specify GEOGRAPHY, you are usually specifying points in terms of latitude and longitude.

New Date and Time Data types: SQL Server 2008 introduces four new data types related to date and time: DATE, TIME, DATETIMEOFFSET, and DATETIME2.

  • DATE: The new DATE data type just stores the date itself. It is based on the Gregorian calendar and handles years from 1 to 9999.
  • TIME: The new TIME (n) type stores time with a range of 00:00:00.0000000 through 23:59:59.9999999. The precision is allowed with this type. TIME supports seconds down to 100 nanoseconds. The n in TIME(n) defines this level of fractional second precision from 0 to 7 digits of precision.
  • The DATETIMEOFFSET Type: DATETIMEOFFSET (n) is the time-zone-aware version of a datetime datatype. The name will appear less odd when you consider what it really is: a date + time + time-zone offset. The offset is based on how far behind or ahead you are from Coordinated Universal Time (UTC) time.
  • The DATETIME2 Type: It is an extension of the datetime type in earlier versions of SQL Server. This new datatype has a date range covering dates from January 1 of year 1 through December 31 of year 9999. This is a definite improvement over the lower boundary of 1753 of the datetime datatype. DATETIME2 not only includes the larger date range, but also has a timestamp and the same fractional precision that TIME type provides.

How can I Track the Changes or Identify the Latest Insert-Update-Delete from a Table?

In SQL Server 2005 and earlier versions, there is no inbuilt functionality to know which row was recently changed and what the changes were. However, in SQL Server 2008, a new feature known as Change Data Capture (CDC) has been introduced to capture the changed data. (Read more here)

What is the CPU Pressure?

CPU pressure is a state wherein the CPU is fully occupied with currently assigned tasks and there are more tasks in the queue that have not yet started. (Read more here)

How can I Get Data from a Database on Another Server?

If you want to import data only through T-SQL query, then use OPENDATASOURCE function. To repeatedly get data from another server, create a linked server and then use the OPENQUERY function or use 4-part naming. If you are not adhered with T-SQL, then it is better to use import/export wizard, and you can save it as a SSIS package for future use. (Read more here)

What is the Bookmark Lookup and RID Lookup?

When a small number of rows are requested by a query, the SQL Server optimizer will try to use a non-clustered index on the column or columns contained in the WHERE clause to retrieve the data requested by the query. If the query requests data from columns not present in the non-clustered index, then the SQL Server must go back to the data pages to get the data in those columns. Even if the table has a clustered index or not, the query will still have to return to the table or clustered index to retrieve the data.

In the above scenario, if table has clustered index, it is called bookmark lookup (or key lookup); if the table does not have clustered index, but a non-clustered index, it is called RID lookup. (Read more here)

What is Difference between ROLLBACK IMMEDIATE and WITH NO_WAIT during ALTER DATABASE?

ROLLBACK AFTER integer [SECONDS] | ROLLBACK IMMEDIATE:

Specifies whether to roll back after a specified number of seconds or immediately if transaction is not complete.

NO_WAIT:

Specifies that if the requested database state or option change cannot complete immediately without waiting for transactions to commit or roll back on their own, then the request will fail.(Read more here)

What is Difference between GETDATE and SYSDATETIME in SQL Server 2008?

In case of GETDATE, the precision is till milliseconds, and in case of SYSDATETIME, the precision is till nanoseconds.(Read More Here)

How can I Check that whether Automatic Statistic Update is Enabled or not?

The following query can be used to know if Automatic Statistic Update:

SELECT is_auto_create_stats_on,is_auto_update_stats_on
FROM sys.databases
WHERE name =‘YOUR DATABASE NAME

(Read more here)

How to Find Index Size for Each Index on Table?

We can use the following query to find the size of index.

SELECT *
FROM sys.indexes
WHERE OBJECT_ID=OBJECT_ID('HumanResources.Shift')

(Read more here)

What is the Difference between Seek Predicate and Predicate?

Seek Predicate is the operation that describes the b-tree portion of the Seek. Predicate is the operation that describes the additional filter using non-key columns. Based on the description, it is very clear that Seek Predicate is better than Predicate as it searches indexes, whereas in Predicate, the search is on non-key a column – which implies that the search is on the data in page, files itself.

(Read more here)

What are Basics of Policy Management?

SQL server 2008 has introduced a policy management framework, which is the latest technique for SQL server database engine. SQL policy administrator uses SQL Server Management Studio to create policies that can handle entities on the server side like the SQL Server objects and the instance of SQL Server databases. It consists of three components: policy administrators (who create policies), policy management, and explicit administration. Policy-based management in SQL Server assists the database administrators in defining and enforcing policies that tie to database objects and instances. These policies allow the administrator to configure and manage SQL server across the enterprise. (Read more here)

What are the Advantages of Policy Management?

The following advantages can be achieved by appropriate administration of policy management system.

  • It interacts with various policies for successful system configuration.
  • It handles the changes in the systems that are the result of configuration against authoring policies.
  • It reduces the cost of ownership with simple elaboration of administration tasks.
  • It detects various compliance issues in SQL Server Management Studio.

What are Policy Management Terms?

To have a better grip on the concept of Policy-based management, there are some key terms you need to understand.

Target – A type of entity that is appropriately managed by Policy-based management. For example, a table, database and index, to name a few.

Facet -A property that can be managed in policy-based management. A clear example of facet is the name of Trigger or the Auto Shrink Property of database.

Conditions – Criteria that specifies the state of facet to true or false. For example, you can adjust the state of a facet that gives you clear specifications of all stored procedures in the Schema ‘Banking’.

Policy – A set of rules specified for the server objects or the properties of database.

(Read more here)

What is the ‘FILLFACTOR’?

A “FILLFACTOR” is one of the important arguments that can be used while creating an index.

According to MSDN, FILLFACTOR specifies a percentage that indicates how much the Database Engine should fill each index page during index creation or rebuild. Fill-factor is always an integer valued from 1 to 100. The fill-factor option is designed for improving index performance and data storage. By setting the fill-factor value, you specify the percentage of space on each page to be filled with data, reserving free space on each page for future table growth.

Specifying a fill-factor value of 70 would imply that 30 percent of each page will be left empty, providing space for index expansion as data is added to the underlying table. The fill-factor setting applies only when the index is created or rebuilt. (Read more here)

Where in MS SQL Server is ’100’ equal to ‘0’?

Fill-factor settings of 0 and 100 are equal! (Read more here)

What are Points to Remember while Using the FILLFACTOR Argument?

  1. If fill-factor is set to 100 or 0, the Database Engine fills pages to their capacity while creating indexes.
  2. The server-wide default FILLFACTOR is set to 0.
  3. To modify the server-wide default value, use the sp_configure system stored procedure.
  4. To view the fill-factor value of one or more indexes, use sys.indexes.
  5. To modify or set the fill-factor value for individual indexes, use CREATE INDEX or ALTER INDEX statements.
  6. Creating a clustered index with a FILLFACTOR < 100 may significantly increase the amount of space the data occupies because the Database Engine physically reallocates the data while building the clustered index. (Read more here)

What is a ROLLUP Clause?

ROLLUP clause is used to do aggregate operation on multiple levels in hierarchy. If we want sum on different levels without adding any new column, then we can do it easily using ROLLUP. We have to just add the WITH ROLLUP Clause in group by clause. (Read more here)

What are Various Limitations of the Views?

  • ORDER BY clause does not work in View.

(Read more here)

  • Regular queries or Stored Procedures give us flexibility when we need another column; we can add a column to regular queries right away. If we want to do the same with Views, then we will have to modify them first.

(Read more here)

  • Index created on view not used often.

(Read more here)

  • Once the view is created and if the basic table has any column added or removed, it is not usually reflected in the view till it is refreshed.

(Read more here)

  • One of the most prominent limitations of the View it is that it does not support COUNT (*); however, it can support COUNT_BIG (*).

(Read more here)

  • UNION Operation is now allowed in Indexed View.

(Read More Here)

  • We cannot create an Index on a nested View situation means we cannot create index on a view which is built from another view.

(Read More Here)

  • SELF JOIN Not Allowed in Indexed View.

(Read more here)

  • Outer Join Not Allowed in Indexed Views.

(Read more here)

  • Cross Database Queries Not Allowed in Indexed View.

(Read more here)

What is a Covered index?

It is an index that can satisfy a query just by its index keys without having needed to touch the data pages.

It means that when a query is fired, SQL Server doesn’t need to go to the table to retrieve the rows, but can produce the results directly from the index as the index covers all the columns used in query. (Read more here)

When I Delete any Data from a Table, does the SQL Server reduce the size of that table?

When data are deleted from any table, the SQL Server does not reduce the size of the table right away; however, it marks those pages as free pages, showing that they belong to the table. When new data are inserted, they are put into those pages first. Once those pages are filled up, SQL Server will allocate new pages. If you wait for sometime, the background process de-allocates the pages, finally reducing the page size. (Read more here)

What are Wait Types?

There are three types of wait types, namely,

Resource Waits. Resource waits occur when a worker requests access to a resource that is not available because that resource is either currently used by another worker or it’s not yet available.

Queue Waits. Queue waits occur when a worker is idle, waiting for work to be assigned.

External Waits. External waits occur when an SQL Server worker is waiting for an external event. (Read more here)

How to Stop Log File Growing too Big?

If your Transaction Log file was growing too big and you wanted to manage its size, then instead of truncating transaction log file, you should choose one of the options mentioned below.

1) Convert the Recovery Model to Simple Recovery

If you change your recovery model to Simple Recovery Model, then you will not encounter the extraordinary growth of your log file. However, please note if you have one long running transaction it will for sure grow your log file till the transaction is complete.

2) Start Taking Transaction Log Backup

In this Full Recovery Model, your transaction log will grow until you take a backup of it. You need to take the T-Log Backup at a regular interval. This way, your log would not grow beyond some limits.

(Read more here)

If any Stored Procedure is Encrypted, then can we see its definition in Activity Monitor?

No, we can’t see definition of encrypted stored procedure in Activity Monitor.