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db.createCollection()

Definition

db.createCollection(name, options)

Changed in version 3.4: Added support for:

• Creation of views (see also db.createView()).
• Collation.

Creates a new collection or view.

Because MongoDB creates a collection implicitly when the collection is first referenced in a command, this method is used primarily for creating new collections that use specific options. For example, you use db.createCollection() to create a capped collection, or to create a new collection that uses document validation.

db.createCollection() is a wrapper around the database command create.

The db.createCollection() method has the following prototype form:

copy

db.createCollection(<name>, { capped: <boolean>,
                              autoIndexId: <boolean>,
                              size: <number>,
                              max: <number>,
                              storageEngine: <document>,
                              validator: <document>,
                              validationLevel: <string>,
                              validationAction: <string>,
                              indexOptionDefaults: <document>,
                              viewOn: <string>,
                              pipeline: <pipeline>,
                              collation: <document> } )

The db.createCollection() method has the following parameters:

Parameter	Type	Description
name	string	The name of the collection to create. See Naming Restrictions.
options	document	Optional. Configuration options for creating a capped collection, for preallocating space in a new collection, or for creating a view.

The options document contains the following fields:

Field	Type	Description
capped	boolean	Optional. To create a capped collection, specify true. If you specify true, you must also set a maximum size in the size field.
autoIndexId	boolean	Optional. Specify false to disable the automatic creation of an index on the _id field. Important For replica sets, do not set autoIndexId to false. Deprecated since version 3.2.
size	number	Optional. Specify a maximum size in bytes for a capped collection. Once a capped collection reaches its maximum size, MongoDB removes the older documents to make space for the new documents. The size field is required for capped collections and ignored for other collections.
max	number	Optional. The maximum number of documents allowed in the capped collection. The size limit takes precedence over this limit. If a capped collection reaches the size limit before it reaches the maximum number of documents, MongoDB removes old documents. If you prefer to use the max limit, ensure that the size limit, which is required for a capped collection, is sufficient to contain the maximum number of documents.
usePowerOf2Sizes	boolean	Optional. Available for the MMAPv1 storage engine only. Deprecated since version 3.0: For the MMAPv1 storage engine, all collections use the power of 2 sizes allocation unless the noPadding option is true. The usePowerOf2Sizes option does not affect the allocation strategy.
noPadding	boolean	Optional. Available for the MMAPv1 storage engine only. New in version 3.0: noPadding flag disables the power of 2 sizes allocation for the collection. With noPadding flag set to true, the allocation strategy does not include additional space to accommodate document growth, as such, document growth will result in new allocation. Use for collections with workloads that are insert-only or in-place updates (such as incrementing counters). Defaults to false. Warning Do not set noPadding if the workload includes removes or any updates that may cause documents to grow. For more information, see No Padding Allocation Strategy.
storageEngine	document	Optional. Available for the WiredTiger storage engine only. New in version 3.0. Allows users to specify configuration to the storage engine on a per-collection basis when creating a collection. The value of the storageEngine option should take the following form: copy { <storage-engine-name>: <options> } Storage engine configuration specified when creating collections are validated and logged to the oplog during replication to support replica sets with members that use different storage engines.
validator	document	Optional. Allows users to specify validation rules or expressions for the collection. For more information, see Document Validation. New in version 3.2. The validator option takes a document that specifies the validation rules or expressions. You can specify the expressions using the same operators as the query operators with the exception of $geoNear, $near, $nearSphere, $text, and $where. Note Validation occurs during updates and inserts. Existing documents do not undergo validation checks until modification. You cannot specify a validator for collections in the admin, local, and config databases. You cannot specify a validator for system.* collections.
validationLevel	string	Optional. Determines how strictly MongoDB applies the validation rules to existing documents during an update. New in version 3.2. validationLevel Description "off" No validation for inserts or updates. "strict" Default Apply validation rules to all inserts and all updates. "moderate" Apply validation rules to inserts and to updates on existing valid documents. Do not apply rules to updates on existing invalid documents.
validationAction	string	Optional. Determines whether to error on invalid documents or just warn about the violations but allow invalid documents to be inserted. New in version 3.2. Important Validation of documents only applies to those documents as determined by the validationLevel. validationAction Description "error" Default Documents must pass validation before the write occurs. Otherwise, the write operation fails. "warn" Documents do not have to pass validation. If the document fails validation, the write operation logs the validation failure.
indexOptionDefaults	document	Optional. Allows users to specify a default configuration for indexes when creating a collection. The indexOptionDefaults option accepts a storageEngine document, which should take the following form: copy { <storage-engine-name>: <options> } Storage engine configuration specified when creating indexes are validated and logged to the oplog during replication to support replica sets with members that use different storage engines. New in version 3.2.
viewOn	string	The name of the source collection or view from which to create the view. The name is not the full namespace of the collection or view; i.e. does not include the database name and implies the same database as the view to create. You must create views in the same database as the source collection. See also db.createView(). New in version 3.4.
pipeline	array	An array that consists of the aggregation pipeline stage. db.createView creates the view by applying the specified pipeline to the viewOn collection or view. The view definition is public; i.e. db.getCollectionInfos() and explain operations on the view will include the pipeline that defines the view. As such, avoid referring directly to sensitive fields and values in view definitions. See also db.createView(). New in version 3.4.
collation	document	Specifies the default collation for the collection. Collation allows users to specify language-specific rules for string comparison, such as rules for lettercase and accent marks. The collation option has the following syntax: copy collation: { locale: <string>, caseLevel: <boolean>, caseFirst: <string>, strength: <int>, numericOrdering: <boolean>, alternate: <string>, maxVariable: <string>, backwards: <boolean> } When specifying collation, the locale field is mandatory; all other collation fields are optional. For descriptions of the fields, see Collation Document. If you specify a collation at the collection level: Indexes on that collection will be created with that collation unless the index creation operation explictly specify a different collation. Operations on that collection use the collection’s default collation unless they explictly specify a different collation. You cannot specify multiple collations for an operation. For example, you cannot specify different collations per field, or if performing a find with a sort, you cannot use one collation for the find and another for the sort. If no collation is specified for the collection or for the operations, MongoDB uses the simple binary comparison used in prior versions for string comparisons. For a collection, you can only specify the collation during the collection creation. Once set, you cannot modify the collection’s default collation. For an example, see Specify Collation. New in version 3.4.

Access Control

If the deployment enforces authentication/authorization, db.createCollection() requires the following privileges:

	Required Privileges
Create a non-capped collection	createCollection on the database, or insert on the collection to create
Create a capped collection	convertToCapped for the collection createCollection on the database
Create a view	createCollection on the database or createCollection on the database and find on the source collection/view or createCollection on the database, find on the view to create, and find on the source collection/view A user with createCollection on the database and find on the view to create does not have sufficient privileges.

The readWrite built in role includes the required privileges. Alternatively, you can create a custom role to support db.createCollection().

The following example uses the db.createUser() method to create a user in the admin database with the readWrite role on the inventory and employees database:

copy

db.getSiblingDB("admin").createUser(
  {
    "user" : "createViewUser",
    "pwd" : "replaceThisWithASecurePassword",
    "roles" : [
      { "db" : "inventory", "role" : "readWrite" },
      { "db" : "employees", "role" : "readWrite" }
    ]
  }
)

The created user can execute db.createCollection() on the specified databases. For more examples of user creation, see Add Users.

Alternatively, you can add the required roles to an existing user using db.grantRolesToUser(). For a tutorial on adding privileges to an existing database user, see Modify Access for an Existing User.

Examples

Create a Capped Collection

Capped collections have maximum size or document counts that prevent them from growing beyond maximum thresholds. All capped collections must specify a maximum size and may also specify a maximum document count. MongoDB removes older documents if a collection reaches the maximum size limit before it reaches the maximum document count. Consider the following example:

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db.createCollection("log", { capped : true, size : 5242880, max : 5000 } )

This command creates a collection named log with a maximum size of 5 megabytes and a maximum of 5000 documents.

See Capped Collections for more information about capped collections.

Create a Collection with Document Validation

New in version 3.2.

Collections with validation compare each inserted or updated document against the criteria specified in the validator option. Depending on the validationLevel and validationAction, MongoDB either returns a warning, or refuses to insert or update the document if it fails to meet the specified criteria.

The following example creates a contacts collection with a validator that specifies that inserted or updated documents should match at least one of three following conditions:

• the phone field is a string
• the email field matches the regular expression
• the status field is either Unknown or Incomplete.

copy

db.createCollection( "contacts",
   {
      validator: { $or:
         [
            { phone: { $type: "string" } },
            { email: { $regex: /@mongodb\.com$/ } },
            { status: { $in: [ "Unknown", "Incomplete" ] } }
         ]
      }
   }
)

With the validator in place, the following insert operation fails validation:

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db.contacts.insert( { name: "Amanda", status: "Updated" } )

The method returns the error in the WriteResult:

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WriteResult({
   "nInserted" : 0,
   "writeError" : {
      "code" : 121,
      "errmsg" : "Document failed validation"
   }
})

For more information, see Document Validation. To view the validation specifications for a collection, use the db.getCollectionInfos() method.

Specify Collation

New in version 3.4.

Collation allows users to specify language-specific rules for string comparison, such as rules for lettercase and accent marks.

You can specify collation at the collection or view level. For example, the following operation creates a collection, specifying a collation for the collection (See Collation Document for descriptions of the collation fields):

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db.createCollection( "myColl", { collation: { locale: "fr" } } );

This collation will be used by indexes and operations that support collation unless they explicitly specify a different collation. For example, insert the following documents into myColl:

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{ _id: 1, category: "café" }
{ _id: 2, category: "cafe" }
{ _id: 3, category: "cafE" }

The following operation uses the collection’s collation:

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db.myColl.find().sort( { category: 1 } )

The operation returns documents in the following order:

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{ "_id" : 2, "category" : "cafe" }
{ "_id" : 3, "category" : "cafE" }
{ "_id" : 1, "category" : "café" }

The same operation on a collection that uses simple binary collation (i.e. no specific collation set) returns documents in the following order:

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{ "_id" : 3, "category" : "cafE" }
{ "_id" : 2, "category" : "cafe" }
{ "_id" : 1, "category" : "café" }

See also

Create a View with Default Collation

Specify Storage Engine Options

New in version 3.0.

You can specify collection-specific storage engine configuration options when you create a collection with db.createCollection(). Consider the following operation:

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db.createCollection(
   "users",
   { storageEngine: { wiredTiger: { configString: "<option>=<setting>" } } }
)

This operation creates a new collection named users with a specific configuration string that MongoDB will pass to the wiredTiger storage engine. See the WiredTiger documentation of collection level options for specific wiredTiger options.

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