Arrays
 
  array
 
 
  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.
 
 
  Declaration of Array Types
  
   array
   declaration
  
 
  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.
 
 
 
  Array Value Input
  
   array
   constant
  
  
   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 .  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:  multidimensional arrays must have array expressions 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
  .
 
 
 
  Accessing Arrays
  
   array
   accessing
  
 
  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
  lower-bound:upper-bound
  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:
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)
 
 
 
  Modifying Arrays
  
   array
   modifying
  
 
  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.
 
 
 
  Searching in Arrays
  
   array
   searching
  
 
  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 . 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 .
 
 
  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
  .  It can be accelerated by an appropriate
  index, as described in .
 
 
  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)
 
 
  
   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.
  
 
 
 
  Array Input and Output Syntax
  
   array
   I/O
  
  
   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  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.
  
 
  
   The ARRAY constructor syntax (see
   ) 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.