This section contains the CREATE
and INSERT
code to run the examples from “The Join Operator” in a PostgreSQL database.
CREATE TABLE sales (
sale_id NUMERIC NOT NULL,
employee_id NUMERIC NOT NULL,
subsidiary_id NUMERIC NOT NULL,
sale_date DATE NOT NULL,
eur_value NUMERIC(17,2) NOT NULL,
product_id BIGINT NOT NULL,
quantity INTEGER NOT NULL,
junk CHAR(200),
CONSTRAINT sales_pk
PRIMARY KEY (sale_id),
CONSTRAINT sales_emp_fk
FOREIGN KEY (subsidiary_id, employee_id)
REFERENCES employees(subsidiary_id, employee_id)
);
SELECT SETSEED(0);
INSERT INTO sales (sale_id
, subsidiary_id, employee_id
, sale_date, eur_value
, product_id, quantity
, junk)
SELECT row_number() OVER (), data.*
FROM (
SELECT e.subsidiary_id, e.employee_id
, (CURRENT_DATE - CAST(RANDOM()*3650 AS NUMERIC) * INTERVAL '1 DAY') sale_date
, CAST(RANDOM()*100000 AS NUMERIC)/100 eur_value
, CAST(RANDOM()*25 AS NUMERIC) + 1 product_id
, CAST(RANDOM()*5 AS NUMERIC) + 1 quantity
, 'junk'
FROM employees e
, GENERATE_SERIES(1, 1800) gen
WHERE MOD(employee_id, 7) = 4
AND gen < employee_id / 5
ORDER BY sale_date
) data
WHERE TO_CHAR(sale_date, 'D') <> '1';
VACUUM ANALYZE sales;
Notes:
The rows are inserted chronologically to reflect a natural table growth.
Only a small fraction of employees have sales at all.