Online Archives
Note
You can only use new Online Archives as a data source in Atlas Data Federation. Read the MongoDB blog post New Online Archive with Performance Improvements and Enhanced Metrics for more information.
Overview
Atlas Data Federation supports Atlas online archives as federated database instance stores. You must define mappings in your federated database instance storage configuration to your online archive to run queries against your data.
Important
Information in your storage configuration is visible internally at MongoDB and stored as operational data to monitor and improve the performance of Atlas Data Federation. So, we recommend that you do not use PII in your configurations.
Configuration Format
To define a federated database instance store for an Atlas Online Archive, you can specify the following JSON configuration parameters in your Federated Database Instance Configuration File. The configuration contains the Atlas online archive and maps it to virtual collections that you can query.
The following JSON configuration shows the format of the stores and databases configuration fields, which you must set in your Federated Database Instance configuration file to define an Atlas Online Archive as a federated database instance store:
1 { 2 "stores" : [ 3 { 4 "name" : "<string>", 5 "provider": "<string>", 6 "region": "<string>" 7 } 8 ], 9 "databases" : [ 10 { 11 "name" : "<string>", 12 "collections" : [ 13 { 14 "name" : "<string>", 15 "dataSources" : [ 16 { 17 "storeName" : "<string>", 18 "datasetName" : "<string>", 19 "datasetPrefix": "<string>", 20 "trimLevel": <int>, 21 "provenanceFieldName": "<string>", 22 "maxDatasets": <int> 23 } 24 ] 25 } 26 ], 27 "views" : [ 28 { 29 "name" : "<string>", 30 "source" : "<string>", 31 "pipeline" : "<string>" 32 } 33 ] 34 } 35 ] 36 } 37
The JSON configuration for Atlas Online Archive data stores contains two top-level objects: stores and databases.
stores
The stores object defines each data store associated with the federated database instance. This store captures documents in an Atlas Online Archive. Data Federation can only access data stores defined within the stores object.
The stores object contains the following fields:
1 "stores" : [ 2 { 3 "name" : "<string>", 4 "provider": "<string>", 5 "region": "<string>" 6 } 7 ]
The following table describes the fields in the stores object:
Field | Type | Necessity | Description |
|---|---|---|---|
array | required | Array of objects where each object represents a data store to associate with the federated database instance. The federated database instance store references to an Atlas online archives. Atlas Data Federation can only access data stores defined in the | |
string | required | Name of the federated database instance store. The | |
string | required | Cloud provider where the snapshot data is stored. Value must be
| |
string | required | Region name of your online archive. Each store is associated with a single region, where the archived data is stored. If you have multiple online archives in different regions, you must add a store for each region to map data in that region to virtual databases and collection in federated database instance. To learn more about the supported regions for AWS, see Atlas Data Federation Regions. |
databases
The databases object defines the mapping between each federated database instance store defined in stores and MongoDB collections in the databases.
The database object contains the following fields:
1 "databases" : [ 2 { 3 "name" : "<string>", 4 "collections" : [ 5 { 6 "name" : "<string>", 7 "dataSources" : [ 8 { 9 "storeName" : "<string>", 10 "datasetName" : "<string>", 11 "datasetPrefix": "<string>", 12 "trimLevel": <int>, 13 "provenanceFieldName": "<string>", 14 "maxDatasets": <int> 15 } 16 ] 17 } 18 ], 19 "views" : [ 20 { 21 "name" : "<string>", 22 "source" : "<string>", 23 "pipeline" : "<string>" 24 } 25 ] 26 } 27 ]
The following table describes the fields in the database object:
Field | Type | Necessity | Description | ||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
array | required | Array of objects that define the mapping between each federated database instance store defined in | |||||||||||||||
string | required | Name of the database to which Atlas Data Federation maps the data contained in the data store. | |||||||||||||||
array | required | Array of objects where each object represents a collection and data sources that map to a | |||||||||||||||
string | required | Name of the collection to which Atlas Data Federation maps the data contained in each You can generate collection names dynamically by specifying For wildcard collections, Atlas Data Federation maps a dataset name to a collection name first by splitting the namespace into a list of fields on the | |||||||||||||||
array | required | ||||||||||||||||
string | required | ||||||||||||||||
string | required | Name of the online archive dataset to map with the collection. The For example, consider the following online archive name. Here:
IMPORTANT: For a non-wildcard collection, you can't specify this option if you specify the | |||||||||||||||
string | Required for wildcard collections. | Dataset name prefix to match against the online archive dataset name. When you set this for wildcard collections, Atlas Data Federation maps collections to only to the online archive dataset names whose prefix match the value specified here. If you specify this setting for a non-wildcard collection, Atlas Data Federation maps only the latest dataset (for the most recently captured snapshot) to the collection. You can't specify the For example: | |||||||||||||||
integer | required | Unsigned integer that specifies how many fields of the dataset name to trim from the left of the dataset name before mapping the remaining fields to a wildcard collection name. Value must be greater than You can't configure this setting using the Visual Editor in the Atlas UI. Therefore, this setting defaults to trim level | |||||||||||||||
string | required | Name for the field that includes the provenance of the documents in the results. If you specify this setting in the storage configuration, Atlas Data Federation returns the following fields for each document in the result:
You can't configure this setting using the Visual Editor in the Atlas UI. | |||||||||||||||
integer | required | Unsigned integer that specifies the maximum number of datasets from which to dynamically generate collections for the data source. You must provide a value greater than IMPORTANT: You can't configure this setting using the Visual Editor in the Atlas UI. Therefore, Atlas Data Federation configuration doesn't include a limit on the number of datasets for configurations using the Visual Editor. |
Example Configuration for Atlas Online Archive Data Store
Consider an Atlas online archive backed by AWS with the following ID:
v1$atlas$archive$V3metrics$hardware$69437250-b9da-4ae9-a1cd-8811462c38a4$64679f7c09f07374b4dcc914
The online archive contains the archived data from the metrics.hardware in an Atlas cluster. The following configuration:
Specifies the Atlas online archive in the
us-east-1AWS region as a federated database instance store.Maps documents from the Atlas online archive to the
dataCenter.inventorycollection in the storage configuration.
{ "stores" : [ { "name" : "atlasOnlineArchiveStore", "provider" : "dls:aws", "region" : "us-east-1" } ], "databases" : [ { "name" : "dataCenter", "collections" : [ { "name" : "inventory", "dataSources" : [ { "storeName" : "atlasOnlineArchiveStore", "datasetName" : "v1$atlas$archive$V3metrics$hardware$69437250-b9da-4ae9-a1cd-8811462c38a4$64679f7c09f07374b4dcc914", "provider" : "dls:aws" } ] } ] } ] }
Note
Since AWS backs the online archive, the provider is set to dls:aws in the example. If Azure backed the online archive, the provider would be dls:azure.
Atlas Data Federation maps all the documents in the online archive to the dataCenter.inventory collection in the storage configuration.
Users connected to the federated database instance can use the MongoDB Query Language and supported aggregations to analyze data in the Atlas cluster through the dataCenter.inventory collection.