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Home 2017 May SQL Server Interview: Advance SQL Query – Find String values which are adjacent to each other

SQL Server Interview: Advance SQL Query – Find String values which are adjacent to each other

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In this post, I am sharing an advanced SQL Query question and solution which may ask in the interview of Database Developer.

The question is: Find an available Seats(Status – ‘y’) which are adjacent to each other.
You can achieve this using simple self-join conditions. Check the below solution.

Create a table with sample data:

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CREATE TABLE tbl_MoviePlex (Seatid INT, Status CHAR(1))
 
INSERT INTO tbl_MoviePlex VALUES
(1,'y')
,(2,'n')
,(3,'y')
,(4,'y')
,(5,'n')
,(6,'y')

The solution:

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SELECT
a.Seatid
,b.Seatid
FROM tbl_MoviePlex a
INNER JOIN tbl_MoviePlex b
on a.Seatid = b.Seatid + 1
and a.Status = b.Status

The Result:

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Seatid Seatid
----------- -----------
4 3
 
(1 row(s) affected)

May 31, 2017Anvesh Patel
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Comments: 1
  1. HIC
    August 7, 2019 at 6:41 am

    More universal solution:
    select t1.* from tbl_MoviePlex t1
    where t1.status = ‘y’
    and exists (select 1 from tbl_MoviePlex t2 where (t2.status = ‘y’) and (t2.Seatid = t1.Seatid + 1 or t2.Seatid = t1.Seatid – 1))

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Anvesh Patel
Anvesh Patel

Database Engineer

May 31, 2017 1 Comment SQL PuzzleAdvance SQL Query, Anvesh Patel, database, database research and development, dbrnd, SQL Query, SQL Server, SQL Server Administrator, SQL Server Error, SQL Server Interview, SQL Server Monitoring, SQL Server Performance Tuning, SQL Server Programming, SQL Server Tips and Tricks, T-SQL Developer Query, TSQL
About Me!

I'm Anvesh Patel, a Database Engineer certified by Oracle and IBM. I'm working as a Database Architect, Database Optimizer, Database Administrator, Database Developer. Providing the best articles and solutions for different problems in the best manner through my blogs is my passion. I have more than six years of experience with various RDBMS products like MSSQL Server, PostgreSQL, MySQL, Greenplum and currently learning and doing research on BIGData and NoSQL technology. -- Hyderabad, India.

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