Managing Users

The user management in ArangoDB 3 is similar to the ones found in MySQL, PostgreSQL, or other database systems.

User management is possible in the web interface and in arangosh while logged on to the _system database.

Note that the only usernames must not start with :role:.

Actions and Access Levels

An ArangoDB server contains a list of users. It also defines various access levels that can be assigned to a user (for details, see below) and that are needed to perform certain actions. These actions can be grouped into three categories:

• server actions
• database actions
• collection actions

The server actions are

• create user: allows to create a new user.

• update user: allows to change the access levels and details of an existing user.

• drop user: allows to delete an existing user.

• create database: allows to create a new database.

• drop database: allows to delete an existing database.

• shutdown server: remove server from cluster and shutdown

The database actions are tied to a given database, and access levels must be set for each database individually. For a given database the actions are

• create collection: allows to create a new collection in the given database.

• update collection: allows to update properties of an existing collection.

• drop collection: allows to delete an existing collection.

• create index: allows to create an index for an existing collection in the given database.

• drop index: allows to delete an index of an existing collection in the given database.

The collection actions are tied to a given collection of a given database, and access levels must be set for each collection individually. For a given collection the actions are

• read document: read a document of the given collection.

• create document: creates a new document in the given collection.

• modify document: modifies an existing document of the given collection, this can be an update or replace operation.

• drop document: deletes an existing document of the given collection.

• truncate collection: deletes all documents of a given collection.

To perform actions on the server level the user needs at least the following access levels. The access levels are Administrate and No access:

To perform actions in a specific database (like creating or dropping collections), a user needs at least the following access level. The possible access levels for databases are Administrate, Access and No access. The access levels for collections are Read/Write, Read Only and No Access.

Note that the access level Access for a database is always required to perform any action on a collection in that database.

For collections a user needs the following access levels to the given database and the given collection. The access levels for the database are Administrate, Access and No access. The access levels for the collection are Read/Write, Read Only and No Access.

Example

For example, given

• a database example
• a collection data in the database example
• a user JohnSmith

If the user JohnSmith is assigned the access level Access for the database example and the level Read/Write for the collection data, then the user is allowed to read, create, modify or delete documents in the collection data. But the user is, for example, not allowed to create indexes for the collection data nor create new collections in the database example.

Granting Access Levels

Access levels can be managed via the web interface or in arangosh.

In order to grant an access level to a user, you can assign one of three access levels for each database and one of three levels for each collection in a database. The server access level for the user follows from the database access level in the _system database, it is Administrate if and only if the database access level is Administrate. Note that this means that database access level Access does not grant a user server access level Administrate.

Initial Access Levels

When a user creates a database the access level of the user for that database is set to Administrate. The same is true for creating a collection, in this case the user get Read/Write access to the collection.

Wildcard Database Access Level

With the above definition, one must define the database access level for all database/user pairs in the server, which would be very tedious. In order to simplify this process, it is possible to define, for a user, a wildcard database access level. This wildcard is used if the database access level is not explicitly defined for a certain database. Each new created user has an initial database wildcard of No Access.

Changing the wildcard database access level for a user will change the access level for all databases that have no explicitly defined access level. Note that this includes databases which will be created in the future and for which no explicit access levels are set for that user!

If you delete the wildcard, the default access level is defined as No Access.

The root user has an initial database wildcard of Administrate.

Example

Assume user JohnSmith has the following database access levels:

This will give the user JohnSmith the following database level access:

• database shop1: Administrate
• database shop2: No Access
• database something: Access

If the wildcard * is changed from Access to No Access then the permissions will change as follows:

• database shop1: Administrate
• database shop2: No Access
• database something: No Access

Wildcard Collection Access Level

For each user and database there is a wildcard collection access level. This level is used for all collections pairs without an explicitly defined collection access level. Note that this includes collections which will be created in the future and for which no explicit access levels are set for a that user! Each new created user has an initial collection wildcard of No Access.

If you delete the wildcard, the system defaults to No Access.

The root user has an initial collection wildcard of Read/Write in every database.

When creating a user through db._createDatabase(name, options, users) the access level of the user for this database will be set to Administrate and the wildcard for all collections within this database will be set to Read/Write.

Example

Assume user JohnSmith has the following database access levels:

and collection access levels:

Then the user doe will get the following collection access levels:

• database shop1, collection products: Read-Only
• database shop1, collection customers: No Access
• database shop2, collection reviews: Read-Only
• database something, collection else: Read/Write

Explanation:

Database shop1, collection products directly matches a defined access level. This level is defined as Read-Only.

Database shop1, collection customers does not match a defined access level. However, database shop1 matches and the wildcard in this database for collection level is No Access.

Database shop2, collection reviews does not match a defined access level. However, database shop2 matches and the wildcard in this database for collection level is Read-Only.

Database somehing, collection else does not match a defined access level. The database something also does have a direct matches. Therefore the wildcard is selected. The level is Read/Write.

System Collections

The access level for system collections cannot be changed. They follow different rules than user defined collections and may change without further notice. Currently the system collections follow these rules:

All other system collections have access level Read/Write if the user has Administrate access to the database. They have access level Read/Only if the user has Access to the database.

To modify these system collections you should always use the specialized APIs provided by ArangoDB. For example no user has access to the _users collection in the _system database. All changes to the access levels must be done using the @arangodb/users module, the /_users/ API or the web interface.