CreateDBClusterParameterGroup
Creates a new cluster parameter group.
Parameters in a cluster parameter group apply to all of the instances in a cluster.
A cluster parameter group is initially created with the default
parameters for the database engine used by instances in the cluster.
In Amazon DocumentDB, you cannot make modifications directly to the
default.docdb3.6
cluster parameter group. If your
Amazon DocumentDB cluster is using the default cluster parameter group and you
want to modify a value in it, you must first
create a new parameter group
or
copy an existing parameter group,
modify it, and then apply the modified parameter group to your
cluster. For the new cluster parameter group and associated settings
to take effect, you must then reboot the instances in the cluster
without failover. For more information,
see
Modifying Amazon DocumentDB Cluster Parameter Groups.
Request Parameters
For information about the parameters that are common to all actions, see Common Parameters.
- DBClusterParameterGroupName
-
The name of the cluster parameter group.
Constraints:
-
Must not match the name of an existing
DBClusterParameterGroup
.
Note
This value is stored as a lowercase string.
Type: String
Required: Yes
-
- DBParameterGroupFamily
-
The cluster parameter group family name.
Type: String
Required: Yes
- Description
-
The description for the cluster parameter group.
Type: String
Required: Yes
- Tags.Tag.N
-
The tags to be assigned to the cluster parameter group.
Type: Array of Tag objects
Required: No
Response Elements
The following element is returned by the service.
- DBClusterParameterGroup
-
Detailed information about a cluster parameter group.
Type: DBClusterParameterGroup object
Errors
For information about the errors that are common to all actions, see Common Errors.
- DBParameterGroupAlreadyExists
-
A parameter group with the same name already exists.
HTTP Status Code: 400
- DBParameterGroupQuotaExceeded
-
This request would cause you to exceed the allowed number of parameter groups.
HTTP Status Code: 400
See Also
For more information about using this API in one of the language-specific AWS SDKs, see the following: