MongoDB

Available Procedures

signature
apoc.mongo.aggregate(uri, pipeline, $config) yield value - perform an aggregate operation on mongodb collection
apoc.mongo.count(uri, query, $config) yield value - perform a count operation on mongodb collection
apoc.mongo.find(uri, query, $config) yield value - perform a find operation on mongodb collection
apoc.mongo.delete(uri, query, $config) - delete the given documents from the mongodb collection and returns the number of affected documents
apoc.mongo.insert(uri, documents, $config) yield value - inserts the given documents into the mongodb collection
apoc.mongo.update(uri, query, update, $config) - updates the given documents from the mongodb collection and returns the number of affected documents

signature

apoc.mongo.aggregate(uri, pipeline, $config) yield value - perform an aggregate operation on mongodb collection

apoc.mongo.count(uri, query, $config) yield value - perform a count operation on mongodb collection

apoc.mongo.find(uri, query, $config) yield value - perform a find operation on mongodb collection

apoc.mongo.delete(uri, query, $config) - delete the given documents from the mongodb collection and returns the number of affected documents

apoc.mongo.insert(uri, documents, $config) yield value - inserts the given documents into the mongodb collection

apoc.mongo.update(uri, query, update, $config) - updates the given documents from the mongodb collection and returns the number of affected documents

Install Dependencies

The Mongo procedures have dependencies on a client library that is not included in the APOC Library.

This dependency is included in apoc-mongodb-dependencies-4.4.0.33.jar, which can be downloaded from the releases page. Once that file is downloaded, it should be placed in the plugins directory and the Neo4j Server restarted.

Field description

uri: The connection String URI, with scheme mongodb://[username:password@]host1[:port1][,host2[:port2],…[,hostN[:portN]]]/databaseName.collectionName[?options]. Note that this uri must necessarily have the database name and (if the collection config parameter is not explicit) the collection name (for example mongodb://user:pass@localhost:27017/myDb.myCollection?authSource=admin)
query: query parameter map (can be a map or a json string)
update: update parameter map (only for apoc.mongo.update)
documents: the documents to insert (only for apoc.mongo.insert)
config: see below

Configuration parameters

The procedures support the following config parameters:

Table 1. Config parameters
name	type	default	description
extractReferences	`Boolean`	false	If true and a field contains an `ObjectId` it will include the related document instead of the `ObjectId`
objectIdAsMap	`Boolean`	true	If true extract the `ObjectId` as map
project	`Map<K,V>` OR `String`	empty	The projection parameters (can be a map or a json string)
sort	`Map<K,V>` OR `String`	empty	The sort parameters (can be a map or a json string)
skip	`Long`	0	The number of documents to skip
limit	`Long`	0	The max number of documents to show
collection	`String`	empty	The collection name (takes precedence over the collection passed with `uri` parameter

Examples

Given the following collections:

// Product
...
{"_id": ObjectId("product1"), "name": "Product 1", "price": 100}
{"_id": ObjectId("product3"), "name": "Product 2", "price": 200}
{"_id": ObjectId("product3"), "name": "Product 3", "price": 300}
...

// Person
...
{"_id": ObjectId("personAl"), "name": "Al", expr: BsonRegularExpression("foo*"), "bought": [ObjectId("product1"), ObjectId("product3")]}
{"_id": ObjectId("personJohn"), "name": "John", "age": 40, "foo", "bar"}
{"_id": ObjectId("personJack"), "name": "Jack", "age": 50, "foo", "bar", expr: BsonRegularExpression("bar*"), "bought": [ObjectId("product1"), ObjectId("product2")]}
...

we can run the following procedures.

`apoc.mongo.aggregate`

CALL apoc.mongodb.aggregate('mongodb://user:pass@localhost:27017/myDb.Person?authSource=admin', [{`$match`: {foo: 'bar'}}, {`$set`: {aggrField: 'Y'} }])

Table 2. Results
value
`{ "_id": { "timestamp": <…>, "machineIdentifier": <…>, "processIdentifier": <…>, "counter": <…>, }, "name": "John", "foo": "bar", "age": 40L, "aggrField": "Y", }`
`{ "_id": { "timestamp": <…>, "machineIdentifier": <…>, "processIdentifier": <…>, "counter": <…>, }, "name": "Jack", "age": 50L, "foo": "bar", "expr": "bar*", "bought": ["product1", "product2"], "aggrField": "Y", }`

`apoc.mongo.count`

CALL apoc.mongodb.count('mongodb://user:pass@localhost:27017/myDb.Person?authSource=admin')

Table 3. Results
value
3

We can also pass the collection name through the config parameter:

CALL apoc.mongodb.count('mongodb://user:pass@localhost:27017/myDb?authSource=admin', {collection: 'Person'})

Table 4. Results
value
3

`apoc.mongo.find`

If we want to extract the all `Person`s with default parameter:

CALL apoc.mongodb.find('mongodb://user:pass@localhost:27017/myDb.Person?authSource=admin')

Table 5. Results
value
`{ "_id": { "timestamp": <…>, "machineIdentifier": <…>, "processIdentifier": <…>, "counter": <…>, }, "name": "Al", "expr": "foo*", "bought": ["product1", "product3"] }`
`{ "_id": { "timestamp": <…>, "machineIdentifier": <…>, "processIdentifier": <…>, "counter": <…>, }, "name": "John", "foo": "bar", "age": 40L }`
`{ "_id": { "timestamp": <…>, "machineIdentifier": <…>, "processIdentifier": <…>, "counter": <…>, }, "name": "Jack", "age": 50L, "foo": "bar", "expr": "bar*", "bought": ["product1", "product2"] }`

In addition, we can pass the query param like:

CALL apoc.mongodb.first('mongodb://user:pass@localhost:27017/myDb.Person?authSource=admin', {expr: {`$regex`: 'bar*', `$options`: ''}})

Table 6. Results
value
`{ "_id": { "timestamp": <…>, "machineIdentifier": <…>, "processIdentifier": <…>, "counter": <…>, }, "name": "Jack", "foo": "bar", "expr": "bar*", "bought": ["product1", "product2"] }`

If we want to extract bought references, through config parameter:

CALL apoc.mongodb.first('mongodb://user:pass@localhost:27017/myDb.Person?authSource=admin', {expr: {`$regex`: 'foo*', `$options`: ''}}, {extractReferences: true})

Table 7. Results
value
`{ "_id": { "timestamp": <…>, "machineIdentifier": <…>, "processIdentifier": <…>, "counter": <…>, }, "name": "Al", "expr": "foo*", "bought": [ { "_id": { "timestamp": <…>, "machineIdentifier": <…>, "processIdentifier": <…>, "counter": <…>, }, "name": "Product 1", "price": 100 }, { "_id": { "timestamp": <…>, "machineIdentifier": <…>, "processIdentifier": <…>, "counter": <…>, }, "name": "Product 3", "price": 300 }, ] }`

Moreover, we can retrieve the ObjectId s with theirs HexString representation through objectIdAsMap config:

CALL apoc.mongodb.first('mongodb://user:pass@localhost:27017/myDb.Person?authSource=admin', {expr: {`$regex`: 'foo*', `$options`: ''}}, {objectIdAsMap: false, extractReferences: true})

Table 8. Results
value
`{ "_id": "personAl", "name": "Al", "expr": "foo*", "bought": [ {"_id": "product1", "name": "Product 1", "price": 100}, {"_id": "product3", "name": "Product 3", "price": 300} ] }`

Furthermore, we can skip n values and pass a project parameter:

CALL apoc.mongo.first('mongodb://user:pass@localhost:27017/myDb.Person?authSource=admin', null, {skip: 2, project: {age: 1}})

Table 9. Results
value
`{ "_id": { "timestamp": <…>, "machineIdentifier": <…>, "processIdentifier": <…>, "counter": <…>, }, "age": 50L, }`

We can pass query, skip and sort parameter as stringified values, for example:

CALL apoc.mongo.first('mongodb://user:pass@localhost:27017/myDb.Person?authSource=admin', '{foo: "bar"}', {sort: '{name: -1}', project: '{age: 1}'})

Table 10. Results
value
`{ "_id": { "timestamp": <…>, "machineIdentifier": <…>, "processIdentifier": <…>, "counter": <…>, }, "age": 40L, }`
`{ "_id": { "timestamp": <…>, "machineIdentifier": <…>, "processIdentifier": <…>, "counter": <…>, }, "age": 50L, }`

Furthermore, we can use the limit parameter, for example:

CALL apoc.mongodb.find('mongodb://user:pass@localhost:27017/myDb.Person?authSource=admin', null, {skip: 1, limit: 1, project: {age: 1}})

Table 11. Results
value
`{ "_id": { "timestamp": <…>, "machineIdentifier": <…>, "processIdentifier": <…>, "counter": <…>, }, "age": 40, }`

Furthermore, we can pass a sort parameter, for example:

CALL apoc.mongodb.find('mongodb://user:pass@localhost:27017/myDb.Person?authSource=admin', null, {sort: {name: -1}, objectIdAsMap: false, project: {name: 1}})

Table 12. Results
value
`` { "_id": "personJohn", "name": "John", }
`` { "_id": "personJack", "name": "Jack", }
`{ "_id": "personAl", "name": "Al", }`

`apoc.mongo.update`

To update the age property of the John document:

CALL apoc.mongodb.update('mongodb://user:pass@localhost:27017/myDb.Person?authSource=admin', {name: "John"}, {`$set`: {age:99}})

with the number of row affected as result:

Table 13. Results
value
1

`apoc.mongo.delete`

To delete the John document:

CALL apoc.mongodb.update('mongodb://user:pass@localhost:27017/myDb.Person?authSource=admin', {name: "John"})

with the number of row affected as result:

Table 14. Results
value
1

`apoc.mongo.insert`

To insert 2 document {"secondId": ObjectId("507f191e811c19729de860ea"), "baz": 1} and {"secondId": ObjectId("507f191e821c19729de860ef"), "baz": 1} in a Person collection (in this case the procedure return void):

CALL apoc.mongo.insert('mongodb://user:pass@localhost:27017/myDb.Person?authSource=admin', [{secondId: {`$oid`: '507f191e811c19729de860ea'}, baz: 1}, {secondId: {`$oid`: '507f191e821c19729de860ef'}, baz: 1}])