GROUP BY in Oracle - Examples & AI Generator

The GROUP BY clause in Oracle helps you aggregate data efficiently, but remembering the exact Oracle GROUP BY syntax can slow down your workflow—especially if you’re switching between SQL dialects. Whether you're working with sales reports, customer orders, or inventory analysis, writing GROUP BY queries by hand can be time-consuming and error-prone. AI2sql - AI SQL Generator lets you generate ready-to-run GROUP BY queries from plain English in 10 seconds—no manual coding, no Oracle-specific headaches.

GROUP BY Syntax in Oracle

Standard Oracle GROUP BY Statement

SELECT column1, AGG_FUNCTION(column2)
FROM table_name
GROUP BY column1;

• column1: The column to group results by

• AGG_FUNCTION: An aggregate function (e.g., SUM, COUNT, AVG)

Note: In Oracle, all columns in the SELECT list (except aggregated values) must appear in the GROUP BY clause.

GROUP BY Examples You Can Generate Instantly

1. Total Sales by Customer

SELECT customer_id, SUM(order_total) AS total_spent
FROM orders
GROUP BY customer_id;

Quickly see how much each customer has spent.

2. Order Count per Product Category

SELECT category, COUNT(order_id) AS orders_count
FROM products
JOIN orders ON products.product_id = orders.product_id
GROUP BY category;

Summarizes orders by product category using JOIN syntax valid in Oracle.

3. Average Quantity Ordered by Month

SELECT TO_CHAR(order_date, 'YYYY-MM') AS month, AVG(quantity) AS avg_qty
FROM order_items
GROUP BY TO_CHAR(order_date, 'YYYY-MM');

Oracle’s TO_CHAR function makes grouping by date periods precise.

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FAQ: GROUP BY in Oracle

Does Oracle require all SELECT columns to be in GROUP BY?

Yes, any column in the SELECT list that isn't part of an aggregate function must appear in the GROUP BY clause—this is specific to Oracle and helps prevent ambiguous results.

Can I GROUP BY multiple columns in Oracle?

Absolutely. Use a comma-separated list: GROUP BY column1, column2.

How does GROUP BY differ in Oracle vs. other databases?

Oracle enforces strict GROUP BY rules, especially with non-aggregated columns, and supports advanced grouping options like ROLLUP and CUBE not always present in other SQL engines.

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