Difference between revisions of "MongoDB ObjectIds"
Line 96: | Line 96: | ||
== Querying with ObjectIds == | == Querying with ObjectIds == | ||
− | db.deptCollection.find({ | + | To see our new department: |
+ | db.deptCollection.find({deptno: 70 }).pretty() | ||
− | + | ||
+ | The ObjectId is a [https://docs.mongodb.com/v3.2/reference/database-references/#document-references document] reference. A second query is needed to return the project's results: | ||
+ | |||
+ | db.projCollection.findOne( { _id: ObjectId("your_object_id) }) | ||
== Updates with ObjectIds == | == Updates with ObjectIds == | ||
The objectId can be used to update a record. For example, we want to update employee 2222. | The objectId can be used to update a record. For example, we want to update employee 2222. |
Revision as of 21:30, 21 October 2016
Main Page >> MongoDB >>MongoDB Workbook >> Object IDs
Object IDs
You may have noticed that the database creates an unique object for each document:
db.deptCollection.find().pretty()
Examine the output carefully and you will notice for each department in the collection something like:
"_id" : ObjectId("5808e3d2ec0ff55100af2649")
An ObjectId is like a primary key found in relational databases, except in this case it is globally unique across the whole database, not just one table. It is similar to objectIds found in object-oriented programming languages.
ObjectIds created by MongoDB are a 12-byte BSON type, with the following structure:
0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 |
time | machine | pid | inc |
Where:
- time: timestamp - the time in seconds
- machine: machine identifier
- pid: process identifier
- inc: auto-incrementing counter
Adding ObjectIds
You can assign an objectId yourself to a document, but you do need to ensure it will be unique within the collection. Alternatively, you can use the ObjectId() function to add one, which will be globally unique.
The following examples creates a new projectCollection, with two projects:
db.projCollection.insert( { _id: 10, projno: 110, proj_name: 'Oracle Project', budget: 10000, } ) db.projCollection.insert( { _id: 20, projno: 120, proj_name: 'MongoDB Project', budget: 20000, } )
If you try and reuse the same objectId:
db.projCollection.insert( { _id: 10, projno: 210, proj_name: 'Other Oracle Project', budget: 10000, } )
You will get a E11000 duplicate key error collection error message.
This is because user generated _ids must be unique within the collection. If you want to reference the _id outside the collection, you need to use a system generated id:
db.projCollection.insert( { projno: 140, proj_name: 'ObjectId Project', budget: 25000, } )
By not defining the _id, the system will generate one automatically.
Check what _id the project has:
db.projCollection.find({projno: 140 }).pretty()
Then add a new department using this id for a project field:
db.deptCollection.insert(
{ deptno: 70, dname: 'OBJECT Test', loc: 'STOCKPORT', employees: [ { empno: 81999, ename: 'Perry', project: ObjectId("your_project_id") } ] } )
Where you need to replace your_project_id with the _id of the project above, for example: 580a8701105d532281cdd3aa"
Querying with ObjectIds
To see our new department:
db.deptCollection.find({deptno: 70 }).pretty()
The ObjectId is a document reference. A second query is needed to return the project's results:
db.projCollection.findOne( { _id: ObjectId("your_object_id) })
Updates with ObjectIds
The objectId can be used to update a record. For example, we want to update employee 2222.