8.15. Arrays
PostgreSQL allows columns of a table to be defined as variable-length multidimensional arrays. Arrays of any built-in or user-defined base type, enum type, composite type, range type, or domain can be created.
8.15.1. Declaration of Array Types #
To illustrate the use of array types, we create this table:
CREATE TABLE sal_emp ( name text, pay_by_quarter integer[], schedule text[][] );
As shown, an array data type is named by appending square brackets
(
[]
) to the data type name of the array elements. The
above command will create a table named
sal_emp
with a column of type
text
(
name
), a
one-dimensional array of type
integer
(
pay_by_quarter
), which represents the
employee's salary by quarter, and a two-dimensional array of
text
(
schedule
), which
represents the employee's weekly schedule.
The syntax for
CREATE TABLE
allows the exact size of
arrays to be specified, for example:
CREATE TABLE tictactoe ( squares integer[3][3] );
However, the current implementation ignores any supplied array size limits, i.e., the behavior is the same as for arrays of unspecified length.
The current implementation does not enforce the declared
number of dimensions either. Arrays of a particular element type are
all considered to be of the same type, regardless of size or number
of dimensions. So, declaring the array size or number of dimensions in
CREATE TABLE
is simply documentation; it does not
affect run-time behavior.
An alternative syntax, which conforms to the SQL standard by using
the keyword
ARRAY
, can be used for one-dimensional arrays.
pay_by_quarter
could have been defined
as:
pay_by_quarter integer ARRAY[4],
Or, if no array size is to be specified:
pay_by_quarter integer ARRAY,
As before, however, PostgreSQL does not enforce the size restriction in any case.
8.15.2. Array Value Input #
To write an array value as a literal constant, enclose the element values within curly braces and separate them by commas. (If you know C, this is not unlike the C syntax for initializing structures.) You can put double quotes around any element value, and must do so if it contains commas or curly braces. (More details appear below.) Thus, the general format of an array constant is the following:
'{val1
delim
val2
delim
... }'
where
delim
is the delimiter character
for the type, as recorded in its
pg_type
entry.
Among the standard data types provided in the
PostgreSQL
distribution, all use a comma
(
,
), except for type
box
which uses a semicolon
(
;
). Each
val
is
either a constant of the array element type, or a subarray. An example
of an array constant is:
'{{1,2,3},{4,5,6},{7,8,9}}'
This constant is a two-dimensional, 3-by-3 array consisting of three subarrays of integers.
To set an element of an array constant to NULL, write
NULL
for the element value. (Any upper- or lower-case variant of
NULL
will do.) If you want an actual string value
"
NULL
"
, you must put double quotes around it.
(These kinds of array constants are actually only a special case of the generic type constants discussed in Section 4.1.2.7 . The constant is initially treated as a string and passed to the array input conversion routine. An explicit type specification might be necessary.)
Now we can show some
INSERT
statements:
INSERT INTO sal_emp VALUES ('Bill', '{10000, 10000, 10000, 10000}', '{{"meeting", "lunch"}, {"training", "presentation"}}'); INSERT INTO sal_emp VALUES ('Carol', '{20000, 25000, 25000, 25000}', '{{"breakfast", "consulting"}, {"meeting", "lunch"}}');
The result of the previous two inserts looks like this:
SELECT * FROM sal_emp; name | pay_by_quarter | schedule -------+---------------------------+------------------------------------------- Bill | {10000,10000,10000,10000} | {{meeting,lunch},{training,presentation}} Carol | {20000,25000,25000,25000} | {{breakfast,consulting},{meeting,lunch}} (2 rows)
Multidimensional arrays must have matching extents for each dimension. A mismatch causes an error, for example:
INSERT INTO sal_emp VALUES ('Bill', '{10000, 10000, 10000, 10000}', '{{"meeting", "lunch"}, {"meeting"}}'); ERROR: malformed array literal: "{{"meeting", "lunch"}, {"meeting"}}" DETAIL: Multidimensional arrays must have sub-arrays with matching dimensions.
The
ARRAY
constructor syntax can also be used:
INSERT INTO sal_emp VALUES ('Bill', ARRAY[10000, 10000, 10000, 10000], ARRAY[['meeting', 'lunch'], ['training', 'presentation']]); INSERT INTO sal_emp VALUES ('Carol', ARRAY[20000, 25000, 25000, 25000], ARRAY[['breakfast', 'consulting'], ['meeting', 'lunch']]);
Notice that the array elements are ordinary SQL constants or
expressions; for instance, string literals are single quoted, instead of
double quoted as they would be in an array literal. The
ARRAY
constructor syntax is discussed in more detail in
Section 4.2.12
.
8.15.3. Accessing Arrays #
Now, we can run some queries on the table. First, we show how to access a single element of an array. This query retrieves the names of the employees whose pay changed in the second quarter:
SELECT name FROM sal_emp WHERE pay_by_quarter[1] <> pay_by_quarter[2]; name ------- Carol (1 row)
The array subscript numbers are written within square brackets.
By default
PostgreSQL
uses a
one-based numbering convention for arrays, that is,
an array of
n
elements starts with
array[1]
and
ends with
array[
.
n
]
This query retrieves the third quarter pay of all employees:
SELECT pay_by_quarter[3] FROM sal_emp; pay_by_quarter ---------------- 10000 25000 (2 rows)
We can also access arbitrary rectangular slices of an array, or
subarrays. An array slice is denoted by writing
for one or more array dimensions. For example, this query retrieves the first
item on Bill's schedule for the first two days of the week:
lower-bound
:
upper-bound
SELECT schedule[1:2][1:1] FROM sal_emp WHERE name = 'Bill'; schedule ------------------------ {{meeting},{training}} (1 row)
If any dimension is written as a slice, i.e., contains a colon, then all
dimensions are treated as slices. Any dimension that has only a single
number (no colon) is treated as being from 1
to the number specified. For example,
[2]
is treated as
[1:2]
, as in this example:
SELECT schedule[1:2][2] FROM sal_emp WHERE name = 'Bill'; schedule ------------------------------------------- {{meeting,lunch},{training,presentation}} (1 row)
To avoid confusion with the non-slice case, it's best to use slice syntax
for all dimensions, e.g.,
[1:2][1:1]
, not
[2][1:1]
.
It is possible to omit the
lower-bound
and/or
upper-bound
of a slice specifier; the missing
bound is replaced by the lower or upper limit of the array's subscripts.
For example:
SELECT schedule[:2][2:] FROM sal_emp WHERE name = 'Bill'; schedule ------------------------ {{lunch},{presentation}} (1 row) SELECT schedule[:][1:1] FROM sal_emp WHERE name = 'Bill'; schedule ------------------------ {{meeting},{training}} (1 row)
An array subscript expression will return null if either the array itself or
any of the subscript expressions are null. Also, null is returned if a
subscript is outside the array bounds (this case does not raise an error).
For example, if
schedule
currently has the dimensions
[1:3][1:2]
then referencing
schedule[3][3]
yields NULL. Similarly, an array reference
with the wrong number of subscripts yields a null rather than an error.
An array slice expression likewise yields null if the array itself or any of the subscript expressions are null. However, in other cases such as selecting an array slice that is completely outside the current array bounds, a slice expression yields an empty (zero-dimensional) array instead of null. (This does not match non-slice behavior and is done for historical reasons.) If the requested slice partially overlaps the array bounds, then it is silently reduced to just the overlapping region instead of returning null.
The current dimensions of any array value can be retrieved with the
array_dims
function:
SELECT array_dims(schedule) FROM sal_emp WHERE name = 'Carol'; array_dims ------------ [1:2][1:2] (1 row)
array_dims
produces a
text
result,
which is convenient for people to read but perhaps inconvenient
for programs. Dimensions can also be retrieved with
array_upper
and
array_lower
,
which return the upper and lower bound of a
specified array dimension, respectively:
SELECT array_upper(schedule, 1) FROM sal_emp WHERE name = 'Carol'; array_upper ------------- 2 (1 row)
array_length
will return the length of a specified
array dimension:
SELECT array_length(schedule, 1) FROM sal_emp WHERE name = 'Carol'; array_length -------------- 2 (1 row)
cardinality
returns the total number of elements in an
array across all dimensions. It is effectively the number of rows a call to
unnest
would yield:
SELECT cardinality(schedule) FROM sal_emp WHERE name = 'Carol'; cardinality ------------- 4 (1 row)
8.15.4. Modifying Arrays #
An array value can be replaced completely:
UPDATE sal_emp SET pay_by_quarter = '{25000,25000,27000,27000}' WHERE name = 'Carol';
or using the
ARRAY
expression syntax:
UPDATE sal_emp SET pay_by_quarter = ARRAY[25000,25000,27000,27000] WHERE name = 'Carol';
An array can also be updated at a single element:
UPDATE sal_emp SET pay_by_quarter[4] = 15000 WHERE name = 'Bill';
or updated in a slice:
UPDATE sal_emp SET pay_by_quarter[1:2] = '{27000,27000}' WHERE name = 'Carol';
The slice syntaxes with omitted
lower-bound
and/or
upper-bound
can be used too, but only when
updating an array value that is not NULL or zero-dimensional (otherwise,
there is no existing subscript limit to substitute).
A stored array value can be enlarged by assigning to elements not already
present. Any positions between those previously present and the newly
assigned elements will be filled with nulls. For example, if array
myarray
currently has 4 elements, it will have six
elements after an update that assigns to
myarray[6]
;
myarray[5]
will contain null.
Currently, enlargement in this fashion is only allowed for one-dimensional
arrays, not multidimensional arrays.
Subscripted assignment allows creation of arrays that do not use one-based
subscripts. For example one might assign to
myarray[-2:7]
to
create an array with subscript values from -2 to 7.
New array values can also be constructed using the concatenation operator,
||
:
SELECT ARRAY[1,2] || ARRAY[3,4]; ?column? ----------- {1,2,3,4} (1 row) SELECT ARRAY[5,6] || ARRAY[[1,2],[3,4]]; ?column? --------------------- {{5,6},{1,2},{3,4}} (1 row)
The concatenation operator allows a single element to be pushed onto the
beginning or end of a one-dimensional array. It also accepts two
N
-dimensional arrays, or an
N
-dimensional
and an
N+1
-dimensional array.
When a single element is pushed onto either the beginning or end of a one-dimensional array, the result is an array with the same lower bound subscript as the array operand. For example:
SELECT array_dims(1 || '[0:1]={2,3}'::int[]); array_dims ------------ [0:2] (1 row) SELECT array_dims(ARRAY[1,2] || 3); array_dims ------------ [1:3] (1 row)
When two arrays with an equal number of dimensions are concatenated, the result retains the lower bound subscript of the left-hand operand's outer dimension. The result is an array comprising every element of the left-hand operand followed by every element of the right-hand operand. For example:
SELECT array_dims(ARRAY[1,2] || ARRAY[3,4,5]); array_dims ------------ [1:5] (1 row) SELECT array_dims(ARRAY[[1,2],[3,4]] || ARRAY[[5,6],[7,8],[9,0]]); array_dims ------------ [1:5][1:2] (1 row)
When an
N
-dimensional array is pushed onto the beginning
or end of an
N+1
-dimensional array, the result is
analogous to the element-array case above. Each
N
-dimensional
sub-array is essentially an element of the
N+1
-dimensional
array's outer dimension. For example:
SELECT array_dims(ARRAY[1,2] || ARRAY[[3,4],[5,6]]); array_dims ------------ [1:3][1:2] (1 row)
An array can also be constructed by using the functions
array_prepend
,
array_append
,
or
array_cat
. The first two only support one-dimensional
arrays, but
array_cat
supports multidimensional arrays.
Some examples:
SELECT array_prepend(1, ARRAY[2,3]); array_prepend --------------- {1,2,3} (1 row) SELECT array_append(ARRAY[1,2], 3); array_append -------------- {1,2,3} (1 row) SELECT array_cat(ARRAY[1,2], ARRAY[3,4]); array_cat ----------- {1,2,3,4} (1 row) SELECT array_cat(ARRAY[[1,2],[3,4]], ARRAY[5,6]); array_cat --------------------- {{1,2},{3,4},{5,6}} (1 row) SELECT array_cat(ARRAY[5,6], ARRAY[[1,2],[3,4]]); array_cat --------------------- {{5,6},{1,2},{3,4}}
In simple cases, the concatenation operator discussed above is preferred over direct use of these functions. However, because the concatenation operator is overloaded to serve all three cases, there are situations where use of one of the functions is helpful to avoid ambiguity. For example consider:
SELECT ARRAY[1, 2] || '{3, 4}'; -- the untyped literal is taken as an array ?column? ----------- {1,2,3,4} SELECT ARRAY[1, 2] || '7'; -- so is this one ERROR: malformed array literal: "7" SELECT ARRAY[1, 2] || NULL; -- so is an undecorated NULL ?column? ---------- {1,2} (1 row) SELECT array_append(ARRAY[1, 2], NULL); -- this might have been meant array_append -------------- {1,2,NULL}
In the examples above, the parser sees an integer array on one side of the
concatenation operator, and a constant of undetermined type on the other.
The heuristic it uses to resolve the constant's type is to assume it's of
the same type as the operator's other input - in this case,
integer array. So the concatenation operator is presumed to
represent
array_cat
, not
array_append
. When
that's the wrong choice, it could be fixed by casting the constant to the
array's element type; but explicit use of
array_append
might
be a preferable solution.
8.15.5. Searching in Arrays #
To search for a value in an array, each value must be checked. This can be done manually, if you know the size of the array. For example:
SELECT * FROM sal_emp WHERE pay_by_quarter[1] = 10000 OR pay_by_quarter[2] = 10000 OR pay_by_quarter[3] = 10000 OR pay_by_quarter[4] = 10000;
However, this quickly becomes tedious for large arrays, and is not helpful if the size of the array is unknown. An alternative method is described in Section 9.25 . The above query could be replaced by:
SELECT * FROM sal_emp WHERE 10000 = ANY (pay_by_quarter);
In addition, you can find rows where the array has all values equal to 10000 with:
SELECT * FROM sal_emp WHERE 10000 = ALL (pay_by_quarter);
Alternatively, the
generate_subscripts
function can be used.
For example:
SELECT * FROM (SELECT pay_by_quarter, generate_subscripts(pay_by_quarter, 1) AS s FROM sal_emp) AS foo WHERE pay_by_quarter[s] = 10000;
This function is described in Table 9.68 .
You can also search an array using the
&&
operator,
which checks whether the left operand overlaps with the right operand.
For instance:
SELECT * FROM sal_emp WHERE pay_by_quarter && ARRAY[10000];
This and other array operators are further described in Section 9.19 . It can be accelerated by an appropriate index, as described in Section 11.2 .
You can also search for specific values in an array using the
array_position
and
array_positions
functions. The former returns the subscript of
the first occurrence of a value in an array; the latter returns an array with the
subscripts of all occurrences of the value in the array. For example:
SELECT array_position(ARRAY['sun','mon','tue','wed','thu','fri','sat'], 'mon'); array_position ---------------- 2 (1 row) SELECT array_positions(ARRAY[1, 4, 3, 1, 3, 4, 2, 1], 1); array_positions ----------------- {1,4,8} (1 row)
Tip
Arrays are not sets; searching for specific array elements can be a sign of database misdesign. Consider using a separate table with a row for each item that would be an array element. This will be easier to search, and is likely to scale better for a large number of elements.
8.15.6. Array Input and Output Syntax #
The external text representation of an array value consists of items that
are interpreted according to the I/O conversion rules for the array's
element type, plus decoration that indicates the array structure.
The decoration consists of curly braces (
{
and
}
)
around the array value plus delimiter characters between adjacent items.
The delimiter character is usually a comma (
,
) but can be
something else: it is determined by the
typdelim
setting
for the array's element type. Among the standard data types provided
in the
PostgreSQL
distribution, all use a comma,
except for type
box
, which uses a semicolon (
;
).
In a multidimensional array, each dimension (row, plane,
cube, etc.) gets its own level of curly braces, and delimiters
must be written between adjacent curly-braced entities of the same level.
The array output routine will put double quotes around element values
if they are empty strings, contain curly braces, delimiter characters,
double quotes, backslashes, or white space, or match the word
NULL
. Double quotes and backslashes
embedded in element values will be backslash-escaped. For numeric
data types it is safe to assume that double quotes will never appear, but
for textual data types one should be prepared to cope with either the presence
or absence of quotes.
By default, the lower bound index value of an array's dimensions is
set to one. To represent arrays with other lower bounds, the array
subscript ranges can be specified explicitly before writing the
array contents.
This decoration consists of square brackets (
[]
)
around each array dimension's lower and upper bounds, with
a colon (
:
) delimiter character in between. The
array dimension decoration is followed by an equal sign (
=
).
For example:
SELECT f1[1][-2][3] AS e1, f1[1][-1][5] AS e2 FROM (SELECT '[1:1][-2:-1][3:5]={{{1,2,3},{4,5,6}}}'::int[] AS f1) AS ss; e1 | e2 ----+---- 1 | 6 (1 row)
The array output routine will include explicit dimensions in its result only when there are one or more lower bounds different from one.
If the value written for an element is
NULL
(in any case
variant), the element is taken to be NULL. The presence of any quotes
or backslashes disables this and allows the literal string value
"
NULL
"
to be entered. Also, for backward compatibility with
pre-8.2 versions of
PostgreSQL
, the
array_nulls
configuration parameter can be turned
off
to suppress recognition of
NULL
as a NULL.
As shown previously, when writing an array value you can use double
quotes around any individual array element. You
must
do so
if the element value would otherwise confuse the array-value parser.
For example, elements containing curly braces, commas (or the data type's
delimiter character), double quotes, backslashes, or leading or trailing
whitespace must be double-quoted. Empty strings and strings matching the
word
NULL
must be quoted, too. To put a double
quote or backslash in a quoted array element value, precede it
with a backslash. Alternatively, you can avoid quotes and use
backslash-escaping to protect all data characters that would otherwise
be taken as array syntax.
You can add whitespace before a left brace or after a right brace. You can also add whitespace before or after any individual item string. In all of these cases the whitespace will be ignored. However, whitespace within double-quoted elements, or surrounded on both sides by non-whitespace characters of an element, is not ignored.
Tip
The
ARRAY
constructor syntax (see
Section 4.2.12
) is often easier to work
with than the array-literal syntax when writing array values in SQL
commands. In
ARRAY
, individual element values are written the
same way they would be written when not members of an array.