Below are the differences Among Count(column_name), Count(*) and Count(1).
Count(*) and Count(1) will give you total number of records in the table but Count(column_name) will give you NOT NULL records for the particular column selected .
For Example:-
I have a table called Employee, It has 3 columns and the data below.
Emp_name Emp_id Dept_name
Ram 1 IT
Shyaam 2 Sales
Seeta 3 IT
Geeta 4
In the above table structure.
Scenario 1:-
Select count(*)
from employee;
select count(1)
from employee;
Select count(emp_id)
from employee;
results :- 4, 4 , 4
All the above queries will give same result.
Scenario 2:-
Select count(*)
from employee;
select count(1)
from employee;
Select count(dept_name)
from employee;
results :- 4, 4, 3
Count(1) and Count(*) will give you same result i.e. 4 but count(dept_name) will give you 3 as it counts only Not NULL values.
Hope this is clear now.
Count(*) and Count(1) will give you total number of records in the table but Count(column_name) will give you NOT NULL records for the particular column selected .
For Example:-
I have a table called Employee, It has 3 columns and the data below.
Emp_name Emp_id Dept_name
Ram 1 IT
Shyaam 2 Sales
Seeta 3 IT
Geeta 4
In the above table structure.
Scenario 1:-
Select count(*)
from employee;
select count(1)
from employee;
Select count(emp_id)
from employee;
results :- 4, 4 , 4
All the above queries will give same result.
Scenario 2:-
Select count(*)
from employee;
select count(1)
from employee;
Select count(dept_name)
from employee;
results :- 4, 4, 3
Count(1) and Count(*) will give you same result i.e. 4 but count(dept_name) will give you 3 as it counts only Not NULL values.
Hope this is clear now.
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