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equals

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equals

The equals operator supports querying boolean and objectId values.

equals has the following syntax:

{
$search: {
"index": <index name>, // optional, defaults to "default"
"equals": {
"path": "<field-to-search>",
"value": <boolean-value>|<objectId>,
"score": <score-options>
}
}
}

equals uses the following terms to construct a query:

Field
Type
Description
Required?
path
string
Indexed field to search.
yes
value
Value to query for.
yes
score
object

Score assigned to matching search term results. Use one of the following options to modify the score:

  • boost: multiply the result score by the given number.
  • constant: replace the result score with the given number.

For information on using score in your query, see Customize the Score in Results.

no

equals uses constant scoring. Each matching document receives a score of 1 for each search clause matched. A document that matches one search clause receives a score of 1, while a document that matches three search clauses receives a score of 3. See the Examples section for scoring examples.

The examples on this page use a collection named users containing the following three documents:

{
"_id" : ObjectId("5ed698faa1199b471010d70c"),
"name" : "Jim Hall",
"verified_user" : true,
"teammates" : [
ObjectId("5a9427648b0beebeb69579d0"),
ObjectId("59b99dbdcfa9a34dcd7885c8")
],
"region" : "East"
}
{
"_id" : ObjectId("5ed6990aa1199b471010d70d"),
"name" : "Ellen Smith",
"verified_user" : true,
"teammates" : [
ObjectId("5a9427648b0beebeb69537a5"),
ObjectId("59b99dbdcfa9a34dcd7881d1")
],
"region" : "Southwest"
}
{
"_id" : ObjectId("5ed6994fa1199b471010d70e"),
"name" : "Fred Osgood",
"verified_user" : false,
"teammates" : [
ObjectId("5a9427648b0beebeb69589a1"),
ObjectId("59b99dbdcfa9a34dcd7897d3")
],
"region" : "Northwest"
}

The users collection is indexed with the following index definition:

{
"mappings": {
"dynamic": false,
"fields": {
"teammates": {
"type": "objectId"
},
"verified_user": {
"type": "boolean"
},
"region": {
"type": "string"
}
}
}
}

The following example uses the equals operator to search the users collection for documents in which the verified_user field is set to true.

db.users.aggregate([
{
"$search": {
"equals": {
"path": "verified_user",
"value": true
}
}
},
{
"$project": {
"name": 1,
"_id": 0,
"score": { "$meta": "searchScore" }
}
}
])

The above query returns the following results:

{ "name" : "Jim Hall", "score" : 1 }
{ "name" : "Ellen Smith", "score" : 1 }

The documents for "Jim Hall" and "Ellen Smith" each receive a score of 1 because those documents have the verified_user field set to true.

The following example uses the equals operator to search the users collection for documents in which the teammates field contains the value ObjectId("5a9427648b0beebeb69589a1").

db.users.aggregate([
{
"$search": {
"equals": {
"path": "teammates",
"value": ObjectId("5a9427648b0beebeb69589a1")
}
}
}
])

The above query returns the document for "Fred Osgood", because that document contains ObjectId("5a9427648b0beebeb69589a1") in the teammates array.

The following example uses the compound operator in conjunction with must, mustNot, and equals to search for documents in which the region field is Southwest and the verified_user field is not false.

db.users.aggregate([
{
"$search": {
"compound": {
"must": {
"text": {
"path": "region",
"query": "Southwest"
}
},
"mustNot": {
"equals": {
"path": "verified_user",
"value": false
}
}
}
}
}
])

The above query returns the document for "Ellen Smith", which is the only one in the collection which meets the search criteria.

The following example query has these search criteria:

  • The verified_user field must be set to true
  • One of the following must be true:

    • The teammates array contains the value ObjectId("5a9427648b0beebeb69579d0")
    • The region field is set to Northwest
db.users.aggregate([
{
"$search": {
"compound": {
"must": {
"equals": {
"path": "verified_user",
"value": true
}
},
"should": [
{
"equals": {
"path": "teammates",
"value": ObjectId("5a9427648b0beebeb69579d0")
}
},
{
"text": {
"path": "region",
"query": "Northwest"
}
}
],
"minimumShouldMatch": 1
}
}
},
{
"$project": {
"name": 1,
"_id": 0,
"score": { "$meta": "searchScore" }
}
}
])

The above query returns the following results:

{ "name" : "Jim Hall", "score" : 2 }

The document for "Jim Hall" receives a score of 2 because it meets the requirements for the must clause and the first of the two should clauses.

You can search for multiple ObjectIDs with a compound query. The following example query uses the compound operator with a should clause to search for three different ObjectIDs, at least two of which must appear to satisfy the query.

db.users.aggregate([
{
"$search": {
"compound": {
"should": [
{
"equals": {
"path": "teammates",
"value": ObjectId("5a9427648b0beebeb69537a5")
}
},
{
"equals": {
"path": "teammates",
"value": ObjectId("59b99dbdcfa9a34dcd7881d1")
}
},
{
"equals": {
"path": "teammates",
"value": ObjectId("5a9427648b0beebeb69579d0")
}
}
],
"minimumShouldMatch": 2
}
}
},
{
"$project": {
"name": 1,
"_id": 0,
"score": { "$meta": "searchScore" }
}
}
])

The above query returns the following results:

{ "name" : "Ellen Smith", "score" : 2 }

The document for "Ellen Smith" receives a score of 2 because it contains two of the specified ObjectIDs in its teammates array.

←  compoundexists →
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