Definition
$replaceAllNew in version 4.4.
Replaces all instances of a search string in an input string with a replacement string.
$replaceAllis both case-sensitive and diacritic-sensitive, and ignores any collation present on a collection.
Syntax
The $replaceAll operator has the following
operator expression syntax:
{ $replaceAll: { input: <expression>, find: <expression>, replacement: <expression> } }
Operator Fields
Field | Description |
|---|---|
The string on which you wish to apply the
find. Can be any valid
expression that resolves to a
string or a | |
The string to search for within the given
input. Can be any valid
expression that resolves to a
string or a | |
The string to use to replace all matched instances of
find in input.
Can be any valid expression that
resolves to a string or a |
Behavior
The input, find, and
replacement expressions must evaluate to
a string or a null, or $replaceAll fails with an
error.
$replaceAll and Null Values
If input or find
refer to a field that is missing, they return null.
If any one of input,
find, or
replacement evaluates to a null, the
entire $replaceAll expression evaluates to null:
Example | Result |
|---|---|
|
|
|
|
|
|
$replaceAll and Collation
String matching for all $replaceAll expressions is always
case-sensitive and diacritic-sensitive. Any collation
configured on a collection, db.collection.aggregate(), or
index is ignored when performing string comparisons with
$replaceAll.
For example, create a sample collection with collation strength 1:
db.createCollection( "myColl", { collation: { locale: "fr", strength: 1 } } )
A collation strength of 1 compares base character only and ignores
other differences such as case and diacritics.
Next, insert three example documents:
db.myColl.insertMany([ { _id: 1, name: "cafe" }, { _id: 2, name: "Cafe" }, { _id: 3, name: "café" } ])
The following $replaceAll operation tries to find and
replace all instances of "Cafe" in the name field:
db.myColl.aggregate([ { $addFields: { resultObject: { $replaceAll: { input: "$name", find: "Cafe", replacement: "CAFE" } } } } ])
Because $replaceAll ignores the collation configured for
this collection, the operation only matches the instance of "Cafe" in
document 2:
{ "_id" : 1, "name" : "cafe", "resultObject" : "cafe" } { "_id" : 2, "name" : "Cafe", "resultObject" : "CAFE" } { "_id" : 3, "name" : "café", "resultObject" : "café" }
Operators which respect collation, such as $match, would
match all three documents when performing a string comparison against
"Cafe" due to this collection's collation strength of 1.
$replaceAll and Unicode Normalization
The $replaceAll aggregation expression does not perform
any unicode normalization. This means that string matching for all
$replaceAll expressions will consider the number of code points used
to represent a character in unicode when attempting a match.
For example, the character é can be represented in unicode using
either one code point or two:
Unicode | Displays as | Code points |
|---|---|---|
|
| 1 ( |
|
| 2 ( |
Using $replaceAll with a find
string where the character é is represented in unicode with one code
point will not match any instance of é that uses two code points in
the input string.
The following table shows whether a match occurs for a
find string of "café" when compared to
input strings where é is represented
by either one code point or two. The find
string in this example uses one code point to represent the é
character:
Example | Match |
|---|---|
| yes |
| no |
Because $replaceAll does not perform any unicode
normalization, only the first string comparison matches, where both the
find and input
strings use one code point to represent é.
Example
Create an inventory collection with the following documents:
db.inventory.insertMany([ { "_id" : 1, "item" : "blue paint" }, { "_id" : 2, "item" : "blue and green paint" }, { "_id" : 3, "item" : "blue paint with blue paintbrush" }, { "_id" : 4, "item" : "blue paint with green paintbrush" }, ])
The following example replaces each instance of "blue paint" in the
item field with "red paint":
db.inventory.aggregate([ { $project: { item: { $replaceAll: { input: "$item", find: "blue paint", replacement: "red paint" } } } } ])
The operation returns the following results:
{ "_id" : 1, "item" : "red paint" } { "_id" : 2, "item" : "blue and green paint" } { "_id" : 3, "item" : "red paint with red paintbrush" } { "_id" : 4, "item" : "red paint with green paintbrush" }