$switch (aggregation)
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Definition
$switch
Evaluates a series of case expressions. When it finds an expression which evaluates to
true
,$switch
executes a specified expression and breaks out of the control flow.$switch
has the following syntax:$switch: { branches: [ { case: <expression>, then: <expression> }, { case: <expression>, then: <expression> }, ... ], default: <expression> } The objects in the
branches
array must contain only acase
field and athen
field.OperandDescriptionbranches
An array of control branch documents. Each branch is a document with the following fields:
case
- Can be any valid expression that resolves to a
boolean
. If the result is not aboolean
, it is coerced to a boolean value. More information about how MongoDB evaluates expressions as either true or false can be found here.
then
- Can be any valid expression.
The
branches
array must contain at least one branch document.default
Optional. The path to take if no branch
case
expression evaluates totrue
.Although optional, if
default
is unspecified and no branchcase
evaluates to true,$switch
returns an error.
Behavior
The various case statements do not need to be mutually exclusive.
$switch
executes the first branch it finds which
evaluates to true
. If none of the branches evaluates to true,
$switch
executes the default
option.
The following conditions cause $switch
to fail with an
error:
The
branches
field is missing or is not an array with at least one entry.An object in the
branches
array does not contain acase
field.An object in the
branches
array does not contain athen
field.An object in the
branches
array contains a field other thancase
orthen
.No
default
is specified and nocase
evaluates totrue
.
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Example
A collection named grades
contains the following documents:
{ "_id" : 1, "name" : "Susan Wilkes", "scores" : [ 87, 86, 78 ] } { "_id" : 2, "name" : "Bob Hanna", "scores" : [ 71, 64, 81 ] } { "_id" : 3, "name" : "James Torrelio", "scores" : [ 91, 84, 97 ] }
The following aggregation operation uses $switch
to
display a particular message based on each student's average score.
db.grades.aggregate( [ { $project: { "name" : 1, "summary" : { $switch: { branches: [ { case: { $gte : [ { $avg : "$scores" }, 90 ] }, then: "Doing great!" }, { case: { $and : [ { $gte : [ { $avg : "$scores" }, 80 ] }, { $lt : [ { $avg : "$scores" }, 90 ] } ] }, then: "Doing pretty well." }, { case: { $lt : [ { $avg : "$scores" }, 80 ] }, then: "Needs improvement." } ], default: "No scores found." } } } } ] )
The operation returns the following:
{ "_id" : 1, "name" : "Susan Wilkes", "summary" : "Doing pretty well." } { "_id" : 2, "name" : "Bob Hanna", "summary" : "Needs improvement." } { "_id" : 3, "name" : "James Torrelio", "summary" : "Doing great!" }