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How SQLite Determines Storage Classes for Your Data

Last updated: December 07, 2024

SQLite is a popular lightweight database management system that is embedded in a variety of devices and applications. One of its key features is its dynamic type system, which means values can be stored in any column regardless of the column's declared type. Understanding how SQLite determines the storage class for your data is essential for optimizing storage and performance.

SQLite does not enforce specific data types for each column, unlike many traditional SQL databases. Instead, it uses the concept of "storage classes" to determine how values are stored. There are five mathematical storage classes in SQLite:

  • NULL: The value is a NULL value.
  • INTEGER: A signed integer value between -9223372036854775808 and +9223372036854775807.
  • REAL: A floating-point value representing a real number.
  • TEXT: A text string, stored using the database encoding (UTF-8, UTF-16BE or UTF-16LE).
  • BLOB: A blob of data, stored exactly as it was input.

The algorithm that determines the storage class that a particular value belongs to is quite straightforward:

  1. If the value is the special "null" value, then it belongs to the NULL storage class.
  2. If the value is an integer, and fits within the range of storage class INTEGER, then the INTEGER storage class is used.
  3. If the value fits neither of the integers above, and is a floating point number, then the REAL storage class is used.
  4. If the value is a text string, then the TEXT storage class is used.
  5. All other values are held in the BLOB storage class.

Now, let’s see how SQLite assigns storage classes with a clearer understanding through examples.

Example 1: Storing INTEGER


CREATE TABLE example_table (
  id INTEGER PRIMARY KEY,
  data ANY
);

INSERT INTO example_table (id, data) VALUES (1, 42);

Here, when the integer value 42 is inserted, it fits within the INTEGER storage class, so SQLite will store it as an INTEGER.

Example 2: Storing REAL


INSERT INTO example_table (id, data) VALUES (2, 3.14);

The number 3.14 will be stored as a REAL in SQLite because it is a floating-point number.

Example 3: Storing TEXT


INSERT INTO example_table (id, data) VALUES (3, 'Hello World');

The string 'Hello World' will be stored using the TEXT storage class.

Example 4: Storing BLOB


INSERT INTO example_table (id, data) VALUES (4, X'677261706869635f696d616765');

An explicit BLOB value is noted using the X'hex' notation. This data will be stored exactly as input in its BLOB format.

Understanding these storage classes allows for more efficient database design and usage because it informs how data will be efficiently stored and influences performance.

Next Article: The Impact of Type Affinities on SQLite Queries

Previous Article: SQLite Dynamic Typing Explained for Beginners

Series: SQLite Data Types and Constraints

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