SQLite Tutorial
SQLite Tutorials Roadmap
Section 1: Introduction to SQLite
-
What is SQLite?
- Understanding its nature as an embedded, serverless, self-contained, transactional SQL database engine.
- Key features and advantages (small footprint, no server required, zero-configuration, ACID compliant).
- When to use SQLite (mobile apps, desktop apps, small websites, testing, embedded systems).
- When *not* to use SQLite (high concurrency, large-scale enterprise applications, distributed databases).
-
SQLite vs. Other RDBMS (MySQL, PostgreSQL):
- Comparing features, performance, and use cases.
-
Setting up Your Environment:
- Downloading and installing the SQLite command-line shell.
- Using GUI tools for SQLite (DB Browser for SQLite, DBeaver, etc.).
-
Your First SQLite Database and Table:
- Creating a new database file (
sqlite3 database_name.db
). - Executing basic commands in the SQLite shell.
- Creating a simple table.
- Creating a new database file (
Section 2: SQLite Data Types and Constraints
-
Understanding SQLite's Dynamic Typing:
- Affinity types (TEXT, NUMERIC, INTEGER, REAL, BLOB).
- How SQLite handles data types compared to static typing RDBMS.
-
Working with Common Data Types:
- INTEGER, TEXT, REAL, BLOB.
- Storing dates and times.
-
Implementing Constraints:
NOT NULL
.UNIQUE
.PRIMARY KEY
(including INTEGER PRIMARY KEY and rowid).FOREIGN KEY
(with understanding of foreign key constraints in SQLite).DEFAULT
.CHECK
.
Section 3: SQLite Data Definition Language (DDL)
-
Creating Tables:
CREATE TABLE table_name (column1 datatype constraints, ...);
- Creating tables with primary keys and foreign keys.
-
Modifying Table Structures:
ALTER TABLE table_name RENAME TO new_name;
ALTER TABLE table_name ADD COLUMN column_name datatype constraints;
- Dropping columns (supported in newer SQLite versions).
- Renaming columns (supported in newer SQLite versions).
-
Dropping Tables:
DROP TABLE table_name;
-
Creating and Dropping Indexes:
CREATE INDEX index_name ON table_name (column_name);
DROP INDEX index_name;
Section 4: SQLite Data Manipulation Language (DML)
-
Inserting Data:
INSERT INTO table_name (column1, ...) VALUES (value1, ...);
- Inserting multiple rows.
- Inserting data from a
SELECT
statement.
-
Updating Data:
UPDATE table_name SET column1 = value1, ... WHERE condition;
-
Deleting Data:
DELETE FROM table_name WHERE condition;
DELETE FROM table_name;
(deleting all rows).TRUNCATE TABLE table_name;
(if supported or simulate with DELETE).
Section 5: SQLite Data Query Language (DQL) - Retrieving Data with SELECT
-
The
SELECT
Statement:- Selecting columns and using
*
.
- Selecting columns and using
-
Filtering Data with
WHERE
:- Comparison operators.
- Logical operators (
AND
,OR
,NOT
). IN
,BETWEEN
,LIKE
.IS NULL
,IS NOT NULL
.
-
Sorting Data with
ORDER BY
. -
Limiting Results with
LIMIT
andOFFSET
. - Aliases (column and table).
Section 6: Aggregation and Grouping in SQLite
-
Aggregate Functions:
COUNT()
,SUM()
,AVG()
,MIN()
,MAX()
.
-
Grouping Data with
GROUP BY
. -
Filtering Groups with
HAVING
.
Section 7: Joining Tables in SQLite
- Understanding Joins in SQLite.
-
Types of Joins:
INNER JOIN
.LEFT JOIN
(orLEFT OUTER JOIN
).CROSS JOIN
.NATURAL JOIN
(use with caution).
- Joining on Multiple Columns.
-
Using
ON
andUSING
clauses.
Section 8: SQLite Functions and Expressions
-
Built-in Functions:
- String functions (
length()
,substr()
,replace()
). - Numeric functions.
- Date and time functions (
date()
,time()
,datetime()
,strftime()
).
- String functions (
-
Conditional Expressions (
CASE
statement). - Coalesce function.
Section 9: Advanced SQLite Concepts (Optional)
- Subqueries.
- Common Table Expressions (CTEs).
- Window Functions (supported in newer SQLite versions).
-
Transactions (
BEGIN TRANSACTION
,COMMIT
,ROLLBACK
). - Views.
- Attaching and Detaching Databases.
- Using SQLite in Programming Languages (Python, Java, C#, etc.).
- Full-Text Search (FTS) (FTS3/FTS4/FTS5).
- JSON Functions (supported in newer SQLite versions).
Section 10: SQLite Administration and Utilities
-
Using the SQLite Command-Line Shell:
.help
,.tables
,.schema
,.mode
,.open
,.quit
.
-
Importing and Exporting Data (
.import
,.output
). -
Analyzing Database Performance (
EXPLAIN QUERY PLAN
). -
Vacuuming the Database (
VACUUM;
) for optimization. -
Integrity Check (
PRAGMA integrity_check;
).
Section 11: Practice and Real-World Use Cases
- Building a simple application using SQLite as the data store (e.g., a to-do list, a contact book).
- Working with sample SQLite databases.
Section 12: Further Learning and Community
- Official SQLite Website and Documentation (sqlite.org).
- Online Tutorials and Courses specifically for SQLite.
- Books on SQLite.
- Participating in Community Forums (Stack Overflow, Reddit r/sqlite).
- Exploring how SQLite is used in popular software.