Setting Up Field and Document Level Security
editSetting Up Field and Document Level Security
editYou can control access to data within an index by adding field and document level security permissions to a role. Field level security permissions restrict access to particular fields within a document. Document level security permissions restrict access to particular documents within an index.
Field and document level permissions are specified separately, but a role can define both field and document level permissions. Field and document level security permissions can be configured on a per-index basis.
Document and field level security is currently meant to operate with read-only privileged accounts. Users with document and field level security enabled for an index should not perform write operations.
Field Level Security
editTo enable field level security, you specify the fields that each role can access in the roles.yml
file.
You list the allowed fields with the fields
option. Fields are associated with a particular index or index pattern and
operate in conjunction with the privileges specified for the indices.
<role_name>: indices: <index_permission_expression>: privileges: <privileges> fields: - <allowed_field_1> - <allowed_field_2> - <allowed_field_N>
To allow access to the _all
meta field, you must explicitly list it as an allowed field. Access to the following meta fields
is always allowed: _id, _type, _parent, _routing, _timestamp, _ttl, _size and _index. If you specify an empty list of fields,
only these meta fields are accessible.
Omitting the fields entry entirely disables field-level security.
For example, the following customer_care
role grants read access to six fields in any index:
customer_care: indices: '*': privileges: read fields: - issue_id - description - customer_handle - customer_email - customer_address - customer_phone
Also wildcard field expressions can be added to the fields
options in the roles.yml
file. For example the following
example has the same effect as the previous example:
customer_care: indices: '*': privileges: read fields: - issue_id - description - 'customer_*'
If documents are more complex and contain json objects then the fields with dot notion should be used.
Assume the following document:
{ "customer": { "handle": "Jim", "email": "jim@mycompany.com", "phone": "555-555-5555" } }
If only access to the handle
field is allowed then the following role should be setup:
my_role: indices: '*': privileges: read fields: - customer.handle
If access to the entire customer
object is allowed then the wildcard dot notation can be used to make this easier:
my_role: indices: '*': privileges: read fields: - customer.*
Document Level Security
editEnabling document level security restricts which documents can be accessed from any document based API.
To enable document level security, you use a query to specify the documents that each role can access in the roles.yml
file.
You specify the document query with the query
option. The document query is associated with a particular index or index pattern and
operates in conjunction with the privileges specified for the indices.
<role_name>: indices: <index_permission_expression>: privileges: <privileges> query: <query>
Omitting the query
entry entirely disables document-level security.
The query
should follow the same format as if a query was defined in the request body of a search request,
but here the format is YAML. Any query from the query-dsl can be defined in the query
entry.
For example, the following customer_care
role grants read access to all indices, but restricts access to documents whose department_id
equals 12
.
customer_care: indices: '*': privileges: read query: term: department_id: 12
Alternatively the query can also be defined in JSON as a string. This makes it easier to define queries that already have been defined in the JSON body of search request body elsewhere.
customer_care: indices: '*': privileges: read query: '{"term" : {"department_id" : "12"}}''