---
title: "intarray — manipulate arrays of integers"
id: intarray
pg_version: "20devel"
---
## F.19. intarray — manipulate arrays of integers
The `intarray` module provides a number of useful functions and operators for manipulating null-free arrays of integers. There is also support for indexed searches using some of the operators.
All of these operations will throw an error if a supplied array contains any NULL elements.
Many of these operations are only sensible for one-dimensional arrays. Although they will accept input arrays of more dimensions, the data is treated as though it were a linear array in storage order.
This module is considered "trusted", that is, it can be installed by non-superusers who have `CREATE` privilege on the current database.
### F.19.1. `intarray` Functions and Operators
The functions provided by the `intarray` module are shown in [Table F.8](intarray.md#intarray-func-table), the operators in [Table F.9](intarray.md#intarray-op-table).
**intarray Functions**
| Function | Description | Example(s) |
| --- | --- | --- |
| `icount` ( `integer[]` ) → integer | Returns the number of elements in the array. | `icount('{1,2,3}'::integer[])` → 3 |
| `sort` ( `integer[]`, `dir` `text` ) → integer[] | Sorts the array in either ascending or descending order. `dir` must be `asc` or `desc`. | `sort('{1,3,2}'::integer[], 'desc')` → {3,2,1} |
| `sort` ( `integer[]` ) → integer[]
`sort_asc` ( `integer[]` ) → integer[] | Sorts in ascending order. | `sort(array[11,77,44])` → {11,44,77} |
| `sort_desc` ( `integer[]` ) → integer[] | Sorts in descending order. | `sort_desc(array[11,77,44])` → {77,44,11} |
| `uniq` ( `integer[]` ) → integer[] | Removes adjacent duplicates. Often used with `sort` to remove all duplicates. | `uniq('{1,2,2,3,1,1}'::integer[])` → {1,2,3,1}
`uniq(sort('{1,2,3,2,1}'::integer[]))` → {1,2,3} |
| `idx` ( `integer[]`, `item` `integer` ) → integer | Returns index of the first array element matching `item`, or 0 if no match. | `idx(array[11,22,33,22,11], 22)` → 2 |
| `subarray` ( `integer[]`, `start` `integer`, `len` `integer` ) → integer[] | Extracts the portion of the array starting at position `start`, with `len` elements. | `subarray('{1,2,3,2,1}'::integer[], 2, 3)` → {2,3,2} |
| `subarray` ( `integer[]`, `start` `integer` ) → integer[] | Extracts the portion of the array starting at position `start`. | `subarray('{1,2,3,2,1}'::integer[], 2)` → {2,3,2,1} |
| `intset` ( `integer` ) → integer[] | Makes a single-element array. | `intset(42)` → {42} |
**intarray Operators**
| Operator | Description |
| --- | --- |
| `integer[]` `&&` `integer[]` → boolean | Do arrays overlap (have at least one element in common)? | |
| `integer[]` `@>` `integer[]` → boolean | Does left array contain right array? | |
| `integer[]` `<@` `integer[]` → boolean | Is left array contained in right array? | |
| `` `#` `integer[]` → integer | Returns the number of elements in the array. | |
| `integer[]` `#` `integer` → integer | Returns index of the first array element matching the right argument, or 0 if no match. (Same as `idx` function.) | |
| `integer[]` `+` `integer` → integer[] | Adds element to end of array. | |
| `integer[]` `+` `integer[]` → integer[] | Concatenates the arrays. | |
| `integer[]` `-` `integer` → integer[] | Removes entries matching the right argument from the array. | |
| `integer[]` `-` `integer[]` → integer[] | Removes elements of the right array from the left array. | |
| `integer[]` `\|` `integer` → integer[] | Computes the union of the arguments. | |
| `integer[]` `\|` `integer[]` → integer[] | Computes the union of the arguments. | |
| `integer[]` `&` `integer[]` → integer[] | Computes the intersection of the arguments. | |
| `integer[]` `@@` `query_int` → boolean | Does array satisfy query? (see below) | |
| `query_int` `~~` `integer[]` → boolean | Does array satisfy query? (commutator of `@@`) | |
The operators `&&`, `@>` and `<@` are equivalent to PostgreSQL's built-in operators of the same names, except that they work only on integer arrays that do not contain nulls, while the built-in operators work for any array type. This restriction makes them faster than the built-in operators in many cases.
The `@@` and `~~` operators test whether an array satisfies a *query*, which is expressed as a value of a specialized data type `query_int`. A *query* consists of integer values that are checked against the elements of the array, possibly combined using the operators `&` (AND), `|` (OR), and `!` (NOT). Parentheses can be used as needed. For example, the query `1&(2|3)` matches arrays that contain 1 and also contain either 2 or 3.
### F.19.2. Index Support
`intarray` provides index support for the `&&`, `@>`, and `@@` operators, as well as regular array equality.
Two parameterized GiST index operator classes are provided: `gist__int_ops` (used by default) is suitable for small- to medium-size data sets, while `gist__intbig_ops` uses a larger signature and is more suitable for indexing large data sets (i.e., columns containing a large number of distinct array values). The implementation uses an RD-tree data structure with built-in lossy compression.
`gist__int_ops` approximates an integer set as an array of integer ranges. Its optional integer parameter `numranges` determines the maximum number of ranges in one index key. The default value of `numranges` is 100. Valid values are between 1 and 253. Using larger arrays as GiST index keys leads to a more precise search (scanning a smaller fraction of the index and fewer heap pages), at the cost of a larger index.
`gist__intbig_ops` approximates an integer set as a bitmap signature. Its optional integer parameter `siglen` determines the signature length in bytes. The default signature length is 16 bytes. Valid values of signature length are between 1 and 2024 bytes. Longer signatures lead to a more precise search (scanning a smaller fraction of the index and fewer heap pages), at the cost of a larger index.
There is also a non-default GIN operator class `gin__int_ops`, which supports these operators as well as `<@`.
The choice between GiST and GIN indexing depends on the relative performance characteristics of GiST and GIN, which are discussed elsewhere.
### F.19.3. Example
-- a message can be in one or more "sections"
CREATE TABLE message (mid INT PRIMARY KEY, sections INT[], ...);
-- create specialized index with signature length of 32 bytes
CREATE INDEX message_rdtree_idx ON message USING GIST (sections gist__intbig_ops (siglen = 32));
-- select messages in section 1 OR 2 - OVERLAP operator
SELECT message.mid FROM message WHERE message.sections && '{1,2}';
-- select messages in sections 1 AND 2 - CONTAINS operator
SELECT message.mid FROM message WHERE message.sections @> '{1,2}';
-- the same, using QUERY operator
SELECT message.mid FROM message WHERE message.sections @@ '1&2'::query_int;
### F.19.4. Benchmark
The source directory `contrib/intarray/bench` contains a benchmark test suite, which can be run against an installed PostgreSQL server. (It also requires `DBD::Pg` to be installed.) To run:
cd .../contrib/intarray/bench
createdb TEST
psql -c "CREATE EXTENSION intarray" TEST
./create_test.pl | psql TEST
./bench.pl
The `bench.pl` script has numerous options, which are displayed when it is run without any arguments.
### F.19.5. Authors
All work was done by Teodor Sigaev () and Oleg Bartunov (). See [http://www.sai.msu.su/~megera/postgres/gist/](http://www.sai.msu.su/~megera/postgres/gist/) for additional information. Andrey Oktyabrski did a great work on adding new functions and operations.