apoc.mongodb.get.byObjectId

Procedure APOC Full

apoc.mongodb.get.byObjectId(hostOrKey, db, collection, objectIdValue, config(default:{})) - get the document by Object id value

Signature

apoc.mongodb.get.byObjectId(host :: STRING?, db :: STRING?, collection :: STRING?, objectIdValue :: STRING?, config = {} :: MAP?) :: (value :: MAP?)

Input parameters

Name Type Default

host

STRING?

null

db

STRING?

null

collection

STRING?

null

objectIdValue

STRING?

null

config

MAP?

{}

Config parameters

The procedure supports the following config parameters:

Table 1. Config parameters
name type default description

compatibleValues

boolean

true

converts MongoDB data types into Neo4j data types

extractReferences

boolean

false

if true and a field contains an ObjectId, it will include the related document instead of the ObjectId

objectIdAsMap

boolean

true

extract the _id as map

idFieldName

String

_id

the field name of the ObjectId

Output parameters

Name Type

value

MAP?

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-4.3.0.7.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.

Alternatively, you could copy these jars into the plugins directory:

  • bson-3.4.2.jar

  • mongo-java-driver-3.4.2.jar,

  • mongodb-driver-3.4.2.jar

  • mongodb-driver-core-3.4.2.jar

You should be able to get them from the following links:

Usage Examples

Field description

  • host: the MongoDB host in the format mongodb://<HOST_NAME>:<PORT> or a url defined into the apoc config apoc.mongodb.myInstance.url=mongodb://<HOST_NAME>:<PORT>, which can be invoked by simply passing myInstance

  • db: the db name

  • collection: the collection name

  • objectIdValue: the ObjectId of the document to retrieve

  • config: the config map

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}
{"_id": ObjectId("product4"), "name": ObjectId("507f191e810c19729de860ea"), "price": 400}
...
// Person
...
{"_id": ObjectId("person"), "name": "Andrea", "bought": [ObjectId("product1"), ObjectId("product3")]}
...

With CALL apoc.mongodb.get.byObjectId(<HOST>, <DB>, "product", "product1"):

{
  "_id": {
  	"timestamp": <...>,
	"machineIdentifier": <...>,
	"processIdentifier": <...>,
	"counter": <...>,
  }
  "name": "Product 1",
  "price": 100L
}

With CALL apoc.mongodb.get.byObjectId(<HOST>, <DB>, "product", "product4", {idFieldName: "name"}):

{
  "_id": {
  	"timestamp": <...>,
	"machineIdentifier": <...>,
	"processIdentifier": <...>,
	"counter": <...>,
  }
  "name": "507f191e810c19729de860ea",
  "price": 400L
}

With CALL apoc.mongodb.get.byObjectId(<HOST>, <DB>, "product", "product1", "_id", {extractReferences: true, objectIdAsMap: true, compatibleValues: false}):

{
  "_id": {
  	"timestamp": <...>,
	"machineIdentifier": <...>,
	"processIdentifier": <...>,
	"counter": <...>,
  },
  "name": "Andrea",
  "bought": [
    {
      "_id": {
	  	"timestamp": <...>,
		"machineIdentifier": <...>,
		"processIdentifier": <...>,
		"counter": <...>,
	  },
	  "name": "Product 1",
	  "price": 100
	},
    {
      "_id": {
	  	"timestamp": <...>,
		"machineIdentifier": <...>,
		"processIdentifier": <...>,
		"counter": <...>,
	  },
	  "name": "Product 3",
	  "price": 300
	},
  ]
}