-- Column formatting COLUMN employee_id FORMAT 9999 HEADING 'Emp ID' COLUMN employee_name FORMAT A25 HEADING 'Employee Name' COLUMN department FORMAT A20 HEADING 'Department' COLUMN salary FORMAT $99,999.00 HEADING 'Salary' COLUMN hire_date FORMAT A10 HEADING 'Hire Date'
I'll help you create an Oracle SQL report. Since your request is a bit broad, I'll provide several common report patterns you can adapt. -- Simple report with column formatting SET LINESIZE 200 SET PAGESIZE 50 SET FEEDBACK ON SET HEADING ON COLUMN employee_name FORMAT A30 COLUMN department FORMAT A20 COLUMN salary FORMAT $99,999.99 COLUMN hire_date FORMAT A10
-- Spool output to file SPOOL sales_report_2024.txt -- Your query here SPOOL OFF -- Set environment SET ECHO OFF SET FEEDBACK ON SET LINESIZE 200 SET PAGESIZE 60 SET VERIFY OFF -- Clear any previous settings CLEAR COLUMNS CLEAR BREAKS CLEAR COMPUTES oracle sql download
SET COLSEP ',' SET PAGESIZE 0 SET FEEDBACK OFF SET HEADING OFF SPOOL report.csv SELECT / csv / * FROM your_table; SPOOL OFF
-- Main query SELECT employee_id, first_name || ' ' || last_name AS employee_name, department_name AS department, salary, TO_CHAR(hire_date, 'YYYY-MM-DD') AS hire_date FROM employees e JOIN departments d ON e.department_id = d.department_id WHERE salary > 50000 ORDER BY salary DESC; -- Column formatting COLUMN employee_id FORMAT 9999 HEADING
-- Reset settings TTITLE OFF CLEAR COLUMNS You can export results in different formats:
SET MARKUP HTML ON SPOOL ON SPOOL report.html SELECT * FROM your_table; SPOOL OFF SET MARKUP HTML OFF Tell me specifically what kind of report you need (sales, inventory, employee, financial, etc.), and I'll provide a more tailored query for your tables. SELECT first_name || ' ' || last_name AS
SELECT first_name || ' ' || last_name AS employee_name, department_name AS department, salary, TO_CHAR(hire_date, 'YYYY-MM-DD') AS hire_date FROM employees e JOIN departments d ON e.department_id = d.department_id ORDER BY salary DESC; 1. Sales Summary Report SELECT TO_CHAR(sale_date, 'YYYY-MM') AS sale_month, COUNT(*) AS total_transactions, SUM(amount) AS total_revenue, ROUND(AVG(amount), 2) AS avg_sale_amount FROM sales WHERE sale_date >= TRUNC(SYSDATE, 'MM') GROUP BY TO_CHAR(sale_date, 'YYYY-MM') ORDER BY sale_month DESC; 2. Inventory Status Report SELECT p.product_id, p.product_name, i.quantity_on_hand, i.reorder_level, CASE WHEN i.quantity_on_hand <= i.reorder_level THEN 'CRITICAL' WHEN i.quantity_on_hand <= i.reorder_level * 2 THEN 'WARNING' ELSE 'OK' END AS stock_status FROM products p JOIN inventory i ON p.product_id = i.product_id WHERE i.quantity_on_hand <= i.reorder_level * 2 ORDER BY i.quantity_on_hand ASC; 3. Employee Performance Report SELECT e.employee_id, e.employee_name, d.department_name, COUNT(s.sale_id) AS sales_count, SUM(s.amount) AS total_sales, RANK() OVER (ORDER BY SUM(s.amount) DESC) AS sales_rank FROM employees e JOIN departments d ON e.dept_id = d.dept_id LEFT JOIN sales s ON e.employee_id = s.employee_id WHERE s.sale_date >= ADD_MONTHS(SYSDATE, -3) GROUP BY e.employee_id, e.employee_name, d.department_name ORDER BY total_sales DESC; 4. Report with Subtotals (using ROLLUP) COLUMN region FORMAT A15 COLUMN product_category FORMAT A20 SELECT region, product_category, COUNT(*) AS units_sold, SUM(revenue) AS total_revenue FROM sales_data GROUP BY ROLLUP(region, product_category) ORDER BY region NULLS LAST, product_category NULLS LAST; 5. Date Range Parameterized Report -- Replace dates as needed SELECT order_id, customer_name, order_date, status, total_amount FROM orders WHERE order_date BETWEEN TO_DATE('2024-01-01', 'YYYY-MM-DD') AND TO_DATE('2024-12-31', 'YYYY-MM-DD') ORDER BY order_date DESC; Common Formatting Commands for Reports -- Set report header TTITLE CENTER 'MONTHLY SALES REPORT' SKIP 1 - RIGHT 'Page: ' FORMAT 999 SQL.PNO -- Set column headings COLUMN employee_id HEADING 'Emp|ID' COLUMN salary HEADING 'Monthly|Salary' FORMAT $99,999