# Oracle Database - Statistics - Density (Column Selectivity)

### Table of Contents

## About

Density is a column statistics that store a decimal number between 0 and 1 that measures the selectivity of a column. Values close to 1 indicate that the column is

Density provides **selectivity** estimates for:

- equi-join predicates (e.g. A.COL1 = B.COL1)
- and equality predicates (e.g. COL1 = 5).

The more selective a column, the less rows are likely to be returned by a query referencing this column in its predicate list.

The density is expressed as a decimal number between 0 and 1.

- Values close to 1 indicate that this column is unselective
- Values close to 0 indicate that this column is highly selective

## Articles Related

## Calculation

### Without Histogram

Without histogram: <MATH> \text{Density} = \frac{1}{\text{Number of distinct NON null values}} </MATH>

### With Histogram

Since Oracle 7.3, histogram are used in the calculation.

The calculation i splits by the type of popularity:

- A non-popular value is one that does not span multiple bucket end points.
- A popular value is one that spans multiple end points.

#### Non-Popular value

For non-popular values the density is calculated as the number of non-popular values divided by the total number of values. Formula: <MATH> \text{Density} = \frac{\text{Number of non-popular values}}{\text{Total number of values}} </MATH>

#### Popular Value

Popular values calculate the selectivity of a particular column values by using histograms.

The Selectivity (Density ?) for popular values is calculated as: <MATH> \text{Selectivity} = \frac{\text{Number of end points spanned by this value}}{\text{Total number of end points}} </MATH>