Exploring a Pre-existing Database with SQL¶

To get familiar with a pre-existing database using raw SQL queries, you need to explore the database schema, tables, relationships, and the data.

Table of Contents¶

Connect to the Database
Explore the Schema
View Data Samples
Check how the Table is Indexed
- Check how Tables are Linked by Joining Them
Analyze table sizes and usage
Document Findings
Misc Queries

Connect to the Database¶

Whatever database you're using has a CLI interface that can accept SQL queries.

psql -U username -d database_name                   # PostgreSQL
mariadb -h 192.168.4.66 -u username database_name   # mariadb

etc.

Explore the Schema¶

List all Tables¶

-- PostgreSQL
SELECT table_name
FROM information_schema.tables
WHERE table_schema = 'public';

-- MySQL
SHOW TABLES;

-- SQLITE
.tables

Check table columns and data types¶

-- PostgreSQL
SELECT column_name, data_type 
FROM information_schema.columns
WHERE table_name = 'the_table_name';

-- MySQL
DESCRIBE table_name;

-- SQLite
PRAGMA table_info(table_name);

Check Relationships and Foreign Keys¶

-- PostgreSQL
SELECT 
    tc.table_name,
    kcu.column_name,
    ccu.table_name AS foreign_table_name,
    ccu.column_name AS foreign_column_name
FROM
    information_schema.table_contracts AS tc
    JOIN information_schema.key_column_usage AS kcu
    ON tc.constraint_name = kcu.constraint_name
    JOIN information_schema.constraint_column_usage AS ccu
    ON ccu.constraint_name = tc.constraint_name
WHERE constraint_type = 'FOREIGN KEY';

This retrieves all foreign key relationships in a PostgreSQL database.
It queries the information_schema tables, which are a builtin set of tables that describe the structure of a database.
The query: * Gets the name of the table (tc.table_name) that has a foreign key.
* Gets the column in that table that serves as the foreign key(kcu.column_name) * Gets the table that the foreign key points to (ccu.table_name AS foreign_table_name) * Identifies the specific column in the referenced table (ccu.column_name AS foreign_column_name)

The JOIN/AS/ON statements here: * JOIN: Combines rows from two tables based on a related column.
* table_constraints joins with key_column_usage based on tc.constraint_name = kcu.constraint_name * This makes sure that for each foreign key constraint, we get both the table and column it originates from (kcu) and the table/column it points to (ccu).
* AS: Creates an alias for columns or tables to mmake them easier to reference in the query.
* ccu.table_name AS foreign_table_name: Lets you refere to ccu.table_name as foreign_table_name.

If you're using MySQL, you might need to query the INFORMATION_SCHEMA database in a similar way.

View Data Samples¶

View the first few rows of a table:

SELECT * FROM table_name LIMIT 10;

Get the row count:

SELECT COUNT(*) FROM table_name;

Check how the Table is Indexed¶

Get a list of the indexes:

-- PostgreSQL
SELECT 
    tablename,
    indexname,
    indexdef
FROM 
    pg_indexes
WHERE
    schemaname = 'public';

-- MySQL
SHOW INDEX FROM table_name;

-- SQLite
PRAGMA index_list(table_name);

Check how Tables are Linked by Joining Them¶

With the foreign keys, check how things are tied to each other.
- Look for naming conventions.
- e.g., fields like id, user_id, order_id, etc. - Use JOIN queries to confirm relationships.

SELECT *
FROM orders o
JOIN users u ON o.user_id = u.id
LIMIT 10;

* JOIN: Combines the rows from two tables based on the specified condition (ON).
* orders and users are combined where o.user_id = u.id.
* It matches the row in the orders table where the user_id column corresponds to the id column in the users table.
* orders o: Creates an alias to be referenced inside the query.
* users u does the same.

So if the orders table contains this data: | id | user_id | amount |------|------------|--------- | 1 | 101 | 50.00 | 2 | 102 | 75.00

And the users table contains: | id | name |-------|-------- | 101 | Bob
| 102 | Alice

Then that query will combine those into this: | id (orders) | user_id | amount | id (users) | name |-----------------|------------|----------|----------------|------- | 1 | 101 | 50.00 | 101 | Bob
| 2 | 102 | 75.00 | 102 | Alice

Analyze table sizes and usage¶

-- PostgreSQL
SELECT 
    relname AS table_name,
    pg_size_pretty(pg_total_relation_size(relid)) AS total_size
FROM 
    pg_catalog.pg_statio_user_tables
ORDER BY
    pg_total_relation_size(relid) DESC;

* relname: Builtin for PostgreSQL. * It's a column in the pg_statio_user_tables and refers to the name of the table (or relation, in PostgreSQL terminology).
pg_size_pretty(): Converts raw bute sizes into human-readable format.
pg_total_relation_size(): Calculates the total size of a table, including indexes, TOAST data, etc.
* pg_statio_user_tables: A PostgreSQL system view that provides stats for user-defined tables.

The MySQL equivalent:

-- MySQL
SELECT 
    table_name AS Table
    round(((data_length + index_length) / 1024 / 1024), 2) AS Size_MB
FROM information_schema.TABLES
WHERE table_schema = "database_name"
ORDER BY Size_MB DESC;

* ROUND(): Builtin function to round a number to a specific number of decimal places.
information_schema.TABLES: Contains metadata about all tables in the database.
DESC: Order results in descending order (largest first).

Document Findings¶

Keep notes of the database to reference.
Keep a list of tables, their purposes and relationships, and note improtant columns - primary keys, foreign keys, and indexed columns.

Misc Queries¶

Use "exploratory queries" to learn how the data behaves.

-- Aggregate data
SELECT column_name, COUNT(*)
FROM table_name
GROUP BY column_name;

-- Analyze date ranges, averages, patterns
SELECT AVG(column_name), MIN(column_name), MAX(column_name)
FROM table_name;