Return a set without repeating any elements. | |
Test the membership of an element in a set. | |
Merge two sets. | |
Test whether a set is not empty. | |
Conditionally provide one or the other result. | |
Coalesce. | |
Filter the set based on type. | |
Return the number of elements in a set. | |
Return an array made from all of the input set elements. | |
Return the sum of the set of numbers. | |
Generalized boolean AND applied to the set of values. | |
Generalized boolean OR applied to the set of values. | |
Return a set of tuples of the form (index, element). | |
Return the smallest value of the input set. | |
Return the greatest value of the input set. | |
Return the arithmetic mean of the input set. | |
Return the sample standard deviation of the input set. | |
Return the population standard deviation of the input set. | |
Return the sample variance of the input set. | |
Return the population variance of the input set. |
Return a set without repeating any elements.
DISTINCT
is a set operator that returns a new set where
no member is equal to any other member.
db>
SELECT DISTINCT {1, 2, 2, 3};
{1, 2, 3}
Test the membership of an element in a set.
Set membership operators IN
and NOT IN
that test for each element of A
whether it is present in B
.
db>
SELECT 1 IN {1, 3, 5};
{true}
db>
SELECT 'Alice' IN User.name;
{true}
db>
SELECT {1, 2} IN {1, 3, 5};
{true, false}
This operator can also be used to implement set intersection:
db> ... ... ...
WITH
A := {1, 2, 3, 4},
B := {2, 4, 6}
SELECT A FILTER A IN B;
{2, 4}
Merge two sets.
Since EdgeDB sets are formally multisets, UNION
is a multiset sum,
so effectively it merges two multisets keeping all of their members.
For example, applying UNION
to {1, 2, 2}
and
{2}
, results in {1, 2, 2, 2}
.
If you need a distinct union, wrap it with DISTINCT
.
Conditionally provide one or the other result.
left_expr IF condition ELSE right_expr
If condition is true
, then the value of the
IF..ELSE
expression is the value of left_expr;
if condition is false
, the result is the value of
right_expr.
db>
SELECT 'hello' IF 2 * 2 = 4 ELSE 'bye';
{'hello'}
IF..ELSE
expressions can be chained when checking multiple conditions
is necessary:
db> ... ... ... ...
WITH color := 'yellow'
SELECT 'Apple' IF color = 'red' ELSE
'Banana' IF color = 'yellow' ELSE
'Orange' IF color = 'orange' ELSE
'Other';
{'Banana'}
Coalesce.
Evaluate to A
for non-empty A
, otherwise evaluate to B
.
A typical use case of the coalescing operator is to provide default values for optional properties.
# Get a set of tuples (<issue name>, <priority>)
# for all issues.
SELECT (Issue.name, Issue.priority.name ?? 'n/a');
Without the coalescing operator the above query would skip any
Issue
without priority.
Test whether a set is not empty.
EXISTS
is an aggregate operator that returns a singleton set
{true}
if the input set is not empty and returns {false}
otherwise.
db>
SELECT EXISTS {1, 2};
{true}
Filter the set based on type.
The type intersection operator removes all elements from the input set that aren’t of the specified type. Additionally, since it guarantees the type of the result set, all the links and properties associated with the specified type can now be used on the resulting expression. This is especially useful in combination with backward links.
Consider the following types:
type User {
required property name -> str;
}
abstract type Owned {
required link owner -> User;
}
type Issue extending Owned {
required property title -> str;
}
type Comment extending Owned {
required property body -> str;
}
The following expression will get all Objects
owned by all users (if there are any):
SELECT User.<owner;
By default backward links don’t infer any type information beyond the
fact that it’s an Object
. To ensure that this path
specifically reaches Issue
the type intersection operator must
be used:
SELECT User.<owner[IS Issue];
# With the use of type intersection it's possible to refer to
# specific property of Issue now:
SELECT User.<owner[IS Issue].title;
Return the number of elements in a set.
db>
SELECT count({2, 3, 5});
{3}
db>
SELECT count(User); # number of User objects in db
{4}
Return the sum of the set of numbers.
The result type depends on the input set type. The general rule is
that the type of the input set is preserved (as if a simple
+
was used) while trying to reduce the chance of
an overflow (so all integers produce int64
sum).
db>
SELECT sum({2, 3, 5});
{10}
db>
SELECT sum({0.2, 0.3, 0.5});
{1.0}
Generalized boolean AND
applied to the set of values.
The result is true
if all of the values are true
or the
set of values is {}
. Return false
otherwise.
db>
SELECT all(<bool>{});
{true}
db>
SELECT all({1, 2, 3, 4} < 4);
{false}
Generalized boolean OR
applied to the set of values.
The result is true
if any of the values are true
. Return
false
otherwise.
db>
SELECT any(<bool>{});
{false}
db>
SELECT any({1, 2, 3, 4} < 4);
{true}
Return a set of tuples of the form (index, element)
.
The enumerate()
function takes any set and produces a set of
tuples containing the zero-based index number and the value for each
element.
The ordering of the returned set is not guaranteed, however the assigned indexes are guaranteed to be in order of the original set.
db>
SELECT enumerate({2, 3, 5});
{(1, 3), (0, 2), (2, 5)}
db>
SELECT enumerate(User.name);
{(0, 'Alice'), (1, 'Bob'), (2, 'Dave')}
Return the smallest value of the input set.
db>
SELECT min({-1, 100});
{-1}
Return the greatest value of the input set.
db>
SELECT max({-1, 100});
{100}