Aggregations
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YugabyteDB supports a number of standard aggregation functions. Let us go through some of these using an example. Consider a products table as shown below.
| ProductID | ProductName | SupplierID | CategoryID | Unit | Price | Quantity |
|---|---|---|---|---|---|---|
| 1 | Chais | 1 | 1 | 10 boxes x 20 bags | 18 | 25 |
| 2 | Chang | 1 | 1 | 24 - 12 oz bottles | 19 | 12 |
| 3 | Aniseed Syrup | 1 | 2 | 12 - 550 ml bottles | 10 | 10 |
| 4 | Chef Anton’s Cajun Seasoning | 2 | 2 | 48 - 6 oz jars | 22 | 9 |
| 5 | Chef Anton’s Gumbo Mix | 2 | 2 | 36 boxes | 21.35 | 40 |
Let us create this table with ProductID as the primary hash key.
1. cqlsh> CREATE KEYSPACE store;
1. cqlsh> CREATE TABLE store.products (ProductID BIGINT PRIMARY KEY, ProductName VARCHAR, SupplierID INT, CategoryID INT, Unit TEXT, Price FLOAT, Quantity INT);
Now let us populate the sample data.
1. INSERT INTO store.products (ProductID, ProductName, SupplierID, CategoryID, Unit, Price, Quantity) VALUES (1, 'Chais', 1, 1, '10 boxes x 20 bags', 18, 25);
2. INSERT INTO store.products (ProductID, ProductName, SupplierID, CategoryID, Unit, Price, Quantity) VALUES (2, 'Chang', 1, 1, '24 - 12 oz bottles', 19, 12);
3. INSERT INTO store.products (ProductID, ProductName, SupplierID, CategoryID, Unit, Price, Quantity) VALUES (3, 'Aniseed Syrup', 1, 2, '12 - 550 ml bottles', 10, 10);
4. INSERT INTO store.products (ProductID, ProductName, SupplierID, CategoryID, Unit, Price, Quantity) VALUES (4, 'Chef Anton''s Cajun Seasoning', 2, 2, '48 - 6 oz jars', 22, 9);
5. INSERT INTO store.products (ProductID, ProductName, SupplierID, CategoryID, Unit, Price, Quantity) VALUES (5, 'Chef Anton''s Gumbo Mix', 2, 2, '36 boxes', 21.35, 40);
Counts
- Finding the number of item types in the store can be done as follows.
You can do this as shown below.
1. cqlsh> SELECT COUNT(ProductID) FROM store.products;
1. count(productid)
1. 5
(1 rows)
- We can give an alias name to the count column as follows.
You can do this as shown below.
1. cqlsh> SELECT COUNT(ProductID) as num_products FROM store.products;
1. num_products
1. 5
(1 rows)
- Finding the number of item types for supplier 1 can be done as follows.
You can do this as shown below.
1. cqlsh> SELECT COUNT(ProductID) as supplier1_num_products FROM store.products WHERE SupplierID=1;
1. supplier1_num_products
1. 3
(1 rows)
Numeric aggregation functions
The standard aggregate functions of min, max, sum and count are built-in functions.
- To find the total number of items in the store, run the following query.
You can do this as shown below.
1. cqlsh> SELECT SUM(Quantity) FROM store.products;
1. sum(quantity)
1. 96
(1 rows)
- To find the price of the cheapest and the most expensive item, run the following.
You can do this as shown below.
1. cqlsh> SELECT MIN(Price), MAX(Price) FROM store.products;
1. min(price) | max(price)
2. ------------+------------
3. 10 | 22
5. (1 rows)
