Now implement SQLite count () with distinct clauses as follows. The end out of the above statement we illustrated by using the following screenshot. In the above example we use where and group by clause also here we use an alias to the table and the result of the above statement is based on the expression that is emp count is based on the department wise. select count (*), dn.emp_dept_name from emp et, emp_dept dn Now let’s see an example of SQLite count () with a group by clause as follows. In the above example, we use the SQLite count () function, it returns all rows from the table even if null values exist in the column. If we need to count the total number of rows at that time we can use the following statement as follows. Now we can use the SQLite count () function as follows. Similarly, we created another table name as emp_dept as shown in the following screenshot as follows. In the above example, we use to insert into a statement to insert new records into the emp table with different values as shown in the above statement. insert into emp(emp_id, emp_first_name, emp_last_name, emp_salary, emp_dept_id) values (1, "Sunny","Patel", 10000, 5), Now insert some records by using the following statement as follows. In the above example, we use create table statement to create a new table name as emp with different attributes with different data types such as emp_id is an integer data type with primary, emp_first_name, emp_last_name, emp_salary, and emp_dept_id as shown in the above statement. emp_first_name text, emp_last_name text, emp_salary numeric, emp_dept_id integer) create table emp (emp_id integer primary key. Now let’s see the different examples of SQLite count () function as follows. First, we need to create a table by using the following statement as follows. The working SQLite count () function is simple and we use it as per the requirement with different parameters or we can say that argument. When we use DISTINCT in the SQL statement then it returns the only unique values with non-null values. When we specify the ALL argument in the SQL statement that we return all non-null values including the duplicates values and it by default parameter of SQLite if we need skip then we can easily skip. Now let’s see how the count () function works in SQLite as follows.īasically, the SQLite count () function is an aggregate function it works with different arguments such as WHERE, DISTINCT, ALL, and GROUP BY clauses. Specified table name: It is an actual table that we need to fetch the records from the specified table. GROUP BY specified expression: Sometimes we need to find out how many rows are present in a specified table and that based on the expression at that we need to specify the GROUP BY clause and it is an optional part of the syntax. WHERE specified condition: Suppose we need to count how many rows are available in a specified table at that time we need to use the WHERE clause as per the requirement and it is an optional part of the syntax. Specified Expression: Specified expression basically is nothing but the column or we can say expression and that can help us to determine how many non-null rows or values present in that table. DISTINCT | ALL: In SQLite count () function by default uses ALL parameter and it is used to count how many rows are present in a table, based on the specified expression, that means ALL is an optional part of this syntax so there is no need to separately specify it in expression.
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