Skip to main content

Interview Questions and answers - SQL Server Day 9

Question: What is the difference between char, nchar, varchar, and nvarchar in SQL Server?

nchar and nvarchar can store Unicode characters.
char and varchar cannot store Unicode characters.
char and nchar are fixed-length which will reserve storage space for number of characters you specify even if you don't use up all that space.
varchar and nvarchar are variable-length which will only use up spaces for the characters you store. It will not reserve storage like char or nchar. For more details click here

Question: What is Difference between @@CONNECTIONS and @@MAX_CONNECTIONS in SQL Server?

@@MAX_CONNECTIONS: @@MAX_CONNECTIONS returns maximum number of synchronous user connection allowed. SQL Server allowed by default maximum 32767 connections. To avoid many connections it can be configured at server level.
Note: Maximum connections (32767) are depending on application and server hardware limits.

@@CONNECTIONS: @@CONNECTIONS returns number of connection attempt on SQL Server since SQL Server has been started.
SELECT [ConnectionAttempts] = @@CONNECTIONS,
       [MaximumAllowed] = @@MAX_CONNECTIONS
For more click here 

Question: What is the difference between DATEFIRST and @@DATEFIRST in SQL Server?

Answer: DATEFIRST keyword use to reset first day of week in SQL Server and @@DATEFIRST return the current value for the session of DATEFIRST.
For details click here 

Question: What is Difference between a HAVING CLAUSE and a WHERE CLAUSE in SQL Server?

WHERE clause applies to individual rows. While HAVING clause is like a WHERE clause, but applies only to groups as a whole.

The WHERE clause is applied first to the individual rows in the tables, means WHERE clause is fetched data from memory according to condition. The HAVING clause is applied to the rows in the result set, means first data is fetched from memory to result set then apply HAVING clause on the row of result set.

We can use WHERE clause with the HAVING clause, but it apply before the GROUP BY clause. We can apply a HAVING clause only to columns that also appear in the GROUP BY clause or in an aggregate function. For more details click here 

Popular posts from this blog

Add day to ISODate in MongoDB

We can use $add operator to add days in ISODate in mongodb, $add is the Arithmetic Aggregation Operator which adds number and date in mongodb.

{ $add: [ <expression1>, <expression2>, ... ] }

Note:  If one of the argument is date $add operator treats to other arguments as milliseconds to add to the date.
Example: Suppose we have a Test collection as below.

{"Title" : "Add day to ISODate in MongoBD","CreatedDate" : ISODate("2016-07-07T08:00:00.000Z")}

Query to add 2 days in CreatedDate

db.Test.aggregate([      { $project: { Title: 1, AddedDate: { $add: [ "$CreatedDate", 2*24*60*60000 ] } } }    ])


{ "_id" : ObjectId("579a1567ac1b3f3732483de0"), "Title" : "Add day to ISODate in MongoBD", "AddedDate" : ISODate("2016-07-09T08:00:00.000Z") }

Note: As mentioned in above note we have to convert days in millisecond because $add operator treat to other arg…

What is difference between UNION and UNION ALL in SQL Server

We use UNION and UNION ALL operator to combine multiple results set into one result set.
UNION operator is used to combining multiple results set into one result set but removes any duplicate rows. Basically, UNION is used to performing a DISTINCT operation across all columns in the result set. UNION operator has the extra overhead of removing duplicate rows and sorting result.
UNION ALL operator use to combine multiple results set into one result set but it does not remove any duplicate result. Actually, this does not remove duplicate rows so it is faster than the UNION operator. If you want to combine multiple results and without duplicate records then use UNION otherwise UNION ALL is better.
Following some rules for using UNION/UNION ALL operator
1.The number of the column should be the same in the query's when you want to combine them. 2.The column should be of the same data type. 3.ORDER BY clause can be applied to the overall result set not within each result set.
4.Column name of …