so in you example it will return a single row (containing a field with value 1) so will exec...
The INNER JOIN between two tables returns all the rows which are present in both the tables. The concept of JOIN in SQL can be visualized using Venn diagrams. In the below Venn diagram, the circles represent the tables, and the intersection between those circles represents the INNER JOIN’s...
I am very new to SQL. I want to know what happens when i use "IF EXISTS" or "IF NOT EX...
Assuming you're joining on columns with no duplicates, which is by far the most common case: An inner join of A and B gives the result of A intersect B, i.e. the inner part of a venn diagram intersection. An outer join of A and B gives the results of A union B, i.e. the o...
DIFFERENCE BETWEEN "INSERT INTO" AND UNION IN SQL difference between (WITH [tablename] AS) and (DECLARE @[tablename] TABLE) Difference between APP_NAME() and PROGRAM_NAME() difference between char(13) and char(10) Difference Between DB Log File and Transaction log file Difference between J...
In this article, I am going to explain the difference between Inner join and full join with examples. This is one of the very common SQL server interview questions. Here we will be using SQL Server 2017 or you can use SQL Server 2008 or above. Read my previous Joins in SQL Server 2017...
Hello all, today, I am going to share an interesting SQL Server interview question, which will not only help you in your interview but also in your day-to-day work. It explains one of the critical concepts of SQL Server, the difference between VARCHAR and CHAR data type. I am sure, ...
The difference between 'AND' and ' ' in MySQL - NOTE: There is only one difference between AND and && is that AND is a standard while && is ownership syntax.Except the above statement, there is no difference between AND and &&. Let us look at all the con
A DIFFERENCE BETWEEN DELETE AND TRUNCATE IN SQLBrijesh PatelJigisha TrivediIJARIIE
In this article, we’ve explored the differences between the GROUP BY and DISTINCT clauses in SQL. GROUP BY is ideal for aggregating data with summary functions, whereas DISTINCT is useful for filtering out duplicate rows. Understanding when and how to use each clause can greatly enhance the ...