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$regex

Definition

$regex

Provides regular expression capabilities for pattern matching strings in queries. MongoDB uses Perl compatible regular expressions (i.e. “PCRE”).

To use $regex, use one of the following syntax:

{ <field>: { $regex: /pattern/, $options: '<options>' } }
{ <field>: { $regex: 'pattern', $options: '<options>' } }
{ <field>: { $regex: /pattern/<options> } }

In MongoDB, you can also use regular expression objects (i.e. /pattern/) to specify regular expressions:

{ <field>: /pattern/<options> }

For restrictions on particular syntax use, see $regex vs. /pattern/ Syntax.

$options

The following <options> are available for use with regular expression.

Option Description Syntax Restrictions
i Case insensitivity to match upper and lower cases. For an example, see Perform Case-Insensitive Regular Expression Match.  
m

For patterns that include anchors (i.e. ^ for the start, $ for the end), match at the beginning or end of each line for strings with multiline values. Without this option, these anchors match at beginning or end of the string. For an example, see Multiline Match for Lines Starting with Specified Pattern.

If the pattern contains no anchors or if the string value has no newline characters (e.g. \n), the m option has no effect.

 
x

“Extended” capability to ignore all white space characters in the $regex pattern unless escaped or included in a character class.

Additionally, it ignores characters in-between and including an un-escaped hash/pound (#) character and the next new line, so that you may include comments in complicated patterns. This only applies to data characters; white space characters may never appear within special character sequences in a pattern.

The x option does not affect the handling of the VT character (i.e. code 11).

Requires $regex with $options syntax
s Allows the dot character (i.e. .) to match all characters including newline characters. For an example, see Use the . Dot Character to Match New Line. Requires $regex with $options syntax

Behavior

$regex vs. /pattern/ Syntax

$in Expressions

To include a regular expression in an $in query expression, you can only use JavaScript regular expression objects (i.e. /pattern/ ). You cannot use $regex operator expressions inside an $in.

Implicit AND Conditions for the Field

To include a regular expression in a comma-separated list of query conditions for the field, use the $regex operator. For example:

{ name: { $regex: /acme.*corp/i, $nin: [ 'acmeblahcorp' ] } }
{ name: { $regex: /acme.*corp/, $options: 'i', $nin: [ 'acmeblahcorp' ] } }
{ name: { $regex: 'acme.*corp', $options: 'i', $nin: [ 'acmeblahcorp' ] } }

x and s Options

To use either the x option or s options, you must use the $regex operator expression with the $options operator. For example, to specify the i and the s options, you must use $options for both:

{ name: { $regex: /acme.*corp/, $options: "si" } }
{ name: { $regex: 'acme.*corp', $options: "si" } }

Index Use

If an index exists for the field, then MongoDB matches the regular expression against the values in the index, which can be faster than a collection scan. Further optimization can occur if the regular expression is a “prefix expression”, which means that all potential matches start with the same string. This allows MongoDB to construct a “range” from that prefix and only match against those values from the index that fall within that range.

A regular expression is a “prefix expression” if it starts with a caret (^) or a left anchor (\A), followed by a string of simple symbols. For example, the regex /^abc.*/ will be optimized by matching only against the values from the index that start with abc.

Additionally, while /^a/, /^a.*/, and /^a.*$/ match equivalent strings, they have different performance characteristics. All of these expressions use an index if an appropriate index exists; however, /^a.*/, and /^a.*$/ are slower. /^a/ can stop scanning after matching the prefix.

Examples

The following examples use a collection products with the following documents:

{ "_id" : 100, "sku" : "abc123", "description" : "Single line description." }
{ "_id" : 101, "sku" : "abc789", "description" : "First line\nSecond line" }
{ "_id" : 102, "sku" : "xyz456", "description" : "Many spaces before     line" }
{ "_id" : 103, "sku" : "xyz789", "description" : "Multiple\nline description" }

Perform Case-Insensitive Regular Expression Match

The following example uses the i option perform a case-insensitive match for documents with sku value that starts with ABC.

db.products.find( { sku: { $regex: /^ABC/i } } )

The query matches the following documents:

{ "_id" : 100, "sku" : "abc123", "description" : "Single line description." }
{ "_id" : 101, "sku" : "abc789", "description" : "First line\nSecond line" }

Multiline Match for Lines Starting with Specified Pattern

The following example uses the m option to match lines starting with the letter S for multiline strings:

db.products.find( { description: { $regex: /^S/, $options: 'm' } } )

The query matches the following documents:

{ "_id" : 100, "sku" : "abc123", "description" : "Single line description." }
{ "_id" : 101, "sku" : "abc789", "description" : "First line\nSecond line" }

Without the m option, the query would match just the following document:

{ "_id" : 100, "sku" : "abc123", "description" : "Single line description." }

If the $regex pattern does not contain an anchor, the pattern matches against the string as a whole, as in the following example:

db.products.find( { description: { $regex: /S/ } } )

Then, the $regex would match both documents:

{ "_id" : 100, "sku" : "abc123", "description" : "Single line description." }
{ "_id" : 101, "sku" : "abc789", "description" : "First line\nSecond line" }

Use the . Dot Character to Match New Line

The following example uses the s option to allow the dot character (i.e. .) to match all characters including new line as well as the i option to perform a case-insensitive match:

db.products.find( { description: { $regex: /m.*line/, $options: 'si' } } )

The query matches the following documents:

{ "_id" : 102, "sku" : "xyz456", "description" : "Many spaces before     line" }
{ "_id" : 103, "sku" : "xyz789", "description" : "Multiple\nline description" }

Without the s option, the query would have matched only the following document:

{ "_id" : 102, "sku" : "xyz456", "description" : "Many spaces before     line" }

Ignore White Spaces in Pattern

The following example uses the x option ignore white spaces and the comments, denoted by the # and ending with the \n in the matching pattern:

var pattern = "abc #category code\n123 #item number"
db.products.find( { sku: { $regex: pattern, $options: "x" } } )

The query matches the following document:

{ "_id" : 100, "sku" : "abc123", "description" : "Single line description." }
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