The difference between having and where in sql
In SQL, HAVING and WHERE are both used to filter data, but their difference is that WHERE filters individual rows, while HAVING filters the results of aggregate functions. WHERE is used after the FROM clause and HAVING is used after the GROUP BY clause. WHERE filters based on the values in the row, while HAVING filters based on the aggregated results.
The difference between HAVING and WHERE in SQL
In SQL, HAVING and WHERE are both used to filter data keywords, but there are obvious differences in their uses:
WHERE filter rows
The WHERE clause is used to filter individual rows in the table. It is used in the SELECT statement, after the FROM clause. WHERE considers only the values in a single row and keeps or deletes them based on specified conditions.
For example:
SELECT * FROM users WHERE age > 18;
The above query will select all users older than 18.
HAVING filter group
The HAVING clause is used to filter the results of aggregate functions such as SUM, COUNT, AVG. It is used after GROUP BY clause to filter groups based on aggregate results.
For example:
SELECT department, COUNT(*) AS employee_count FROM users GROUP BY department HAVING employee_count > 10;
The above query will select departments with more than 10 employees.
Summary
- WHERE filters individual rows, while HAVING filters the results of aggregate functions.
- WHERE is used after the FROM clause, and HAVING is used after the GROUP BY clause.
- WHERE is based on the values in the row, while HAVING is based on the aggregated results.
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SUM in Oracle is used to calculate the sum of non-null values, while COUNT counts the number of non-null values of all data types, including duplicate values.

The SQL SUM function calculates the sum of a set of numbers by adding them together. The operation process includes: 1. Identifying the input value; 2. Looping the input value and converting it into a number; 3. Adding each number to accumulate a sum; 4. Returning the sum result.

Aggregate functions in SQL are used to calculate and return a single value for a set of rows. Common aggregation functions include: Numeric aggregation functions: COUNT(), SUM(), AVG(), MIN(), MAX() Row set aggregation functions: GROUP_CONCAT(), FIRST(), LAST() Statistical aggregation functions: STDDEV (), VARIANCE() optional aggregate functions: COUNT(DISTINCT), TOP(N)

The SUM() function in SQL is used to calculate the sum of numeric columns. It can calculate sums based on specified columns, filters, aliases, grouping and aggregation of multiple columns, but only handles numeric values and ignores NULL values.

The COUNT function in Oracle is used to count non-null values in a specified column or expression. The syntax is COUNT(DISTINCT <column_name>) or COUNT(*), which counts the number of unique values and all non-null values respectively.

MySQL's AVG() function is used to calculate the average of numeric values. It supports multiple usages, including: Calculate the average quantity of all sold products: SELECT AVG(quantity_sold) FROM sales; Calculate the average price: AVG(price); Calculate the average sales volume: AVG(quantity_sold * price). The AVG() function ignores NULL values, use IFNULL() to calculate the average of non-null values.

Non-aggregated columns in SQL are columns that store single record values and are not processed by aggregate functions. These columns contain unique values for each record and are used to identify, categorize, or filter the data.

Grouped data can be sorted using GROUP BY and ORDER BY: 1. GROUP BY groups data; 2. ORDER BY sorts each group of data.
