Read Pillar data from a mongodb collection
pymongo (for salt-master)
This module will load a node-specific pillar dictionary from a mongo collection. It uses the node's id for lookups and can load either the whole document, or just a specific field from that document as the pillar dictionary.
The module shares the same base mongo connection variables as
salt.returners.mongo_return
. These variables go in your master
config file.
mongo.db
- The mongo database to connect to. Defaults to'salt'
.
mongo.host
- The mongo host to connect to. Supports replica sets by specifying all hosts in the set, comma-delimited. Defaults to'salt'
.
mongo.port
- The port that the mongo database is running on. Defaults to27017
.
mongo.user
- The username for connecting to mongo. Only required if you are using mongo authentication. Defaults to''
.
mongo.password
- The password for connecting to mongo. Only required if you are using mongo authentication. Defaults to''
.
The Mongo ext_pillar takes advantage of the fact that the Salt Master configuration file is yaml. It uses a sub-dictionary of values to adjust specific features of the pillar. This is the explicit single-line dictionary notation for yaml. One may be able to get the easier-to-read multi-line dict to work correctly with some experimentation.
ext_pillar:
- mongo: {collection: vm, id_field: name, re_pattern: \.example\.com, fields: [customer_id, software, apache_vhosts]}
In the example above, we've decided to use the vm
collection in the
database to store the data. Minion ids are stored in the name
field on
documents in that collection. And, since minion ids are FQDNs in most cases,
we'll need to trim the domain name in order to find the minion by hostname in
the collection. When we find a minion, return only the customer_id
,
software
, and apache_vhosts
fields, as that will contain the data we
want for a given node. They will be available directly inside the pillar
dict in your SLS templates.
salt.pillar.mongo.
ext_pillar
(minion_id, pillar, collection='pillar', id_field='_id', re_pattern=None, re_replace='', fields=None)¶Connect to a mongo database and read per-node pillar information.
collection (*) -- The mongodb collection to read data from. Defaults to
'pillar'
.
id_field (*) -- The field in the collection that represents an individual
minion id. Defaults to '_id'
.
re_pattern (*) -- If your naming convention in the collection is shorter
than the minion id, you can use this to trim the name.
re_pattern will be used to match the name, and re_replace will
be used to replace it. Backrefs are supported as they are in the
Python standard library. If None
, no mangling of the name will
be performed - the collection will be searched with the entire
minion id. Defaults to None
.
re_replace (*) -- Use as the replacement value in node ids matched with re_pattern. Defaults to ''. Feel free to use backreferences here.
fields (*) -- The specific fields in the document to use for the pillar
data. If None
, will use the entire document. If using the
entire document, the _id
field will be converted to string. Be
careful with other fields in the document as they must be string
serializable. Defaults to None
.