OrientDB aggregation query

OrientDB is an open source Multi-model database that supports graphic database, document database and key value database. It provides various aggregation query functions, including SUM, COUNT, AVG, MIN, MAX, and so on. Here are some common examples of aggregation queries: Table structure and sample data: Suppose we have a table called 'orders' that contains the following fields: -ID (integer, primary key) -Customer_ ID (integer, foreign key) -Order_ Date -Price (Floating-point arithmetic number) 1. COUNT Aggregation Query: Counting Order Quantity SELECT COUNT(*) FROM orders 2. SUM aggregation query: calculating total sales revenue SELECT SUM(price) FROM orders 3. AVG aggregation query: calculating average sales revenue SELECT AVG(price) FROM orders 4. MIN aggregation query: Find the lowest sales amount SELECT MIN(price) FROM orders 5. MAX aggregation query: Find the highest sales revenue SELECT MAX(price) FROM orders 6. GROUP BY Aggregate Query: Calculate Total Sales by Customer Group SELECT customer_id, SUM(price) FROM orders GROUP BY customer_id 7. HAVING aggregation query: Find customers with total sales revenue greater than 1000 SELECT customer_id, SUM(price) FROM orders GROUP BY customer_id HAVING SUM(price) > 1000 These examples demonstrate some of the aggregation query functions of OrientDB. In practical applications, you can use these aggregated queries to analyze and statistically analyze data based on specific business needs.