# MySQL Data Types Cheatsheet

## 1. **Numeric Data Types**

### Integer Types
| Data Type | Storage | Range (Signed) | Range (Unsigned) |
|-----------|---------|---------------|-------------------|
| `TINYINT` | 1 byte | -128 to 127 | 0 to 255 |
| `SMALLINT` | 2 bytes | -32,768 to 32,767 | 0 to 65,535 |
| `MEDIUMINT` | 3 bytes | -8,388,608 to 8,388,607 | 0 to 16,777,215 |
| `INT` / `INTEGER` | 4 bytes | -2,147,483,648 to 2,147,483,647 | 0 to 4,294,967,295 |
| `BIGINT` | 8 bytes | -9,223,372,036,854,775,808 to 9,223,372,036,854,775,807 | 0 to 18,446,744,073,709,551,615 |

### Floating-Point Types
| Data Type | Storage | Range | Precision |
|-----------|---------|--------|-----------|
| `FLOAT(m,d)` | 4 bytes | Approx. ±3.4E38 | Rounded due to floating-point approximation |
| `DOUBLE(m,d)` / `REAL` | 8 bytes | Approx. ±1.8E308 | Higher precision than FLOAT but still subject to rounding |
| `DECIMAL(m,d)` / `NUMERIC(m,d)` | Varies | Exact fixed-point values | Precise representation, no rounding errors |

#### **Floating-Point Precision Considerations**
- **`FLOAT` and `DOUBLE`** are subject to rounding errors due to floating-point representation and should not be used where exact precision is required (e.g., financial applications).
- **`DECIMAL`** is a fixed-point type that maintains exact precision and is ideal for storing monetary values, making it the preferred choice for banking applications.

## 2. **String Data Types**
| Data Type | Storage | Description |
|-----------|---------|-------------|
| `CHAR(n)` | 1 byte per character | Fixed-length string (0-255 characters) |
| `VARCHAR(n)` | 1 byte per character + 1 or 2 bytes | Variable-length string (0-65,535 characters) |
| `TEXT` | Varies | Large text field (0-4GB depending on type) |
| `TINYTEXT` | Up to 255 bytes | Small text field |
| `TEXT` | Up to 65,535 bytes | Standard text field |
| `MEDIUMTEXT` | Up to 16,777,215 bytes | Medium text field |
| `LONGTEXT` | Up to 4GB | Very large text field |
| `BLOB` | Varies | Binary large object (same size variations as TEXT) |

## 3. **Date and Time Data Types**
| Data Type | Storage | Format | Range |
|-----------|---------|--------|--------|
| `DATE` | 3 bytes | YYYY-MM-DD | 1000-01-01 to 9999-12-31 |
| `DATETIME` | 8 bytes | YYYY-MM-DD HH:MM:SS | 1000-01-01 00:00:00 to 9999-12-31 23:59:59 |
| `TIMESTAMP` | 4 bytes | YYYY-MM-DD HH:MM:SS | 1970-01-01 00:00:01 UTC to 2038-01-19 03:14:07 UTC |
| `TIME` | 3 bytes | HH:MM:SS | -838:59:59 to 838:59:59 |
| `YEAR` | 1 byte | YYYY | 1901 to 2155 |

## 4. **Boolean Type**
| Data Type | Alias For | Description |
|-----------|-----------|-------------|
| `BOOLEAN` | `TINYINT(1)` | Stores 0 (false) or 1 (true) |

## 5. **Spatial Data Types**
| Data Type | Description |
|-----------|-------------|
| `GEOMETRY` | Stores any spatial value |
| `POINT` | Stores (X,Y) coordinate |
| `LINESTRING` | Stores a line of multiple points |
| `POLYGON` | Stores a polygon |

## 6. **JSON Data Type**
| Data Type | Description |
|-----------|-------------|
| `JSON` | Stores JSON-formatted data efficiently |

### **Notes:**
- Use `UNSIGNED` for numeric types when negative values are not needed.
- `DECIMAL(m,d)` is preferred for exact decimal values (e.g., financial applications).
- Use `TEXT` for large text fields instead of `VARCHAR` when indexing is not required.
- `TIMESTAMP` is useful for automatic time zone conversion, while `DATETIME` is better for absolute timestamps.
- `JSON` is useful for semi-structured data storage.