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$replaceAll (aggregation)

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$replaceAll

Replaces all instances of a search string in an input string with a replacement string.

$replaceAll is both case-sensitive and diacritic-sensitive, and ignores any collation present on a collection.

The $replaceAll operator has the following operator expression syntax:

{ $replaceAll: { input: <expression>, find: <expression>, replacement: <expression> } }
Field
Description
input

The string on which you wish to apply the find. Can be any valid expression that resolves to a string or a null. If input refers to a field that is missing, $replaceAll returns null.

The string to search for within the given input. Can be any valid expression that resolves to a string or a null. If find refers to a field that is missing, $replaceAll returns null.

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 null.

The input, find, and replacement expressions must evaluate to a string or a null, or $replaceAll fails with an error.

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: { input: null, find: "abc", replacement: "ABC" } }
null
{ $replaceAll: { input: "abc", find: null, replacement: "ABC" } }
null
{ $replaceAll: { input: "abc", find: "abc", replacement: null } }
null

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.

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
\xe9
é
1 ( \xe9 )
e\u0301
é
2 ( e + \u0301 )

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
{ $replaceAll: { input: "caf\xe9", find: "café", replacement: "CAFE" } }
yes
{ $replaceAll: { input: "cafe\u0301", find: "café", replacement: "CAFE" } }
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.

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" }
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