Online Archives
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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.
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.
Example Configuration for Atlas Online Archive Data Store
Example
Consider an Atlas online archive backed by AWS with the following ID:
v1$atlas$archive$V3metrics$hardware$69437250-b9da-4ae9-a1cd-8811462c38a4$64679f7c09f07374b4dcc914
The online archive contains the archived data from the
metrics.hardware
in an Atlas cluster. The following
configuration:
Specifies the Atlas online archive in the
us-east-1
AWS region as a federated database instance store.Maps documents from the Atlas online archive to the
dataCenter.inventory
collection in the storage configuration.
{ "stores" : [ { "name" : "atlasOnlineArchiveStore", "provider" : "dls:aws", "region" : "us-east-1" } ], "databases" : [ { "name" : "dataCenter", "collections" : [ { "name" : "inventory", "dataSources" : [ { "storeName" : "atlasOnlineArchiveStore", "datasetName" : "v1$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.
Configuration Format
The federated database instance configuration for an Atlas online archive has the following format:
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
stores
1 "stores" : [ 2 { 3 "name" : "<string>", 4 "provider": "<string>", 5 "region": "<string>" 6 } 7 ]
stores
Array of objects where each object represents a data store to associate with the federated database instance. The federated database instance store references files in an S3 bucket, documents in an Atlas cluster, files stored at publicly accessible URLs, or Atlas online archives. Atlas Data Federation can only access data stores defined in the
stores
object.
stores.[n].name
Name of the federated database instance store. The
databases.[n].collections.[n].dataSources.[n].storeName
field references this value as part of mapping configuration.
stores.[n].provider
Cloud provider where the snapshot data is stored. Value must be
dls:<subtype>
for a snapshot. Atlas Data Federation supports the following subtypes:aws
, for which the value must bedls:aws
stores.[n].region
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
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 ]
databases
Array of objects that define the mapping between each federated database instance store defined in
stores
and online archives. Each object represents a database, its collections, and, optionally, any views on the collections. Each database can have multiplecollections
andviews
objects.
databases.[n].name
Name of the database to which Atlas Data Federation maps the data contained in the data store.
databases.[n].collections
Array of objects where each object represents a collection and data sources that map to a
stores
federated database instance store.
databases.[n].collections.[n].name
Name of the collection to which Atlas Data Federation maps the data contained in each
databases.[n].collections.[n].dataSources.[n].storeName
. Each object in the array represents the mapping between the collection and an object in thestores
array.You can generate collection names dynamically by specifying
*
for the collection name. To dynamically generate collection names, you must also specify the following: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
$
delimiter, then by trimming a number of fields from the left of the list, and finally by combining the remaining fields using_
.
databases.[n].collections.[n].dataSources
Array of objects where each object represents a federated database instance store in the
stores
array to map with the collection. You can specify multipledataSources
for a wildcard collection only if all thedataSources
for the collection map to the online archivestores
.
databases.[n].collections.[n].dataSources.[n].storeName
Name of a federated database instance store to map to the
<collection>
. Must match thename
of an object in thestores
array.
databases.[n].collections.[n].dataSources.[n].datasetName
Name of the online archive dataset to map with the collection. The
datasetName
is in the following format:<version>$<type>$<subtype>$<clusterName>$<dbName>$<collectionName>$<archiveId> Example
Consider the following online archive name.
v1$atlas$archive$clusterName$dbName$collections$archiveId Here:
v1
is the versionatlas
is the type of data sourcearchive
is the subtypeclusterName
is the name of the Atlas clusterdbName
is the name of the database on the Atlas clustercollection
is the the collections in the databasearchiveId
is the unique identifier of the archived data
Note
For a non-wildcard collection, you can't specify this option if you specify the
databases.[n].collections.[n].dataSources.[n].datasetPrefix
option because Atlas Data Federation automatically generates collections for the latest dataset using the name specified throughdatabases.[n].collections.[n].dataSources.[n].datasetPrefix
option.
databases.[n].collections.[n].dataSources.[n].datasetPrefix
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
databases.[n].collections.[n].dataSources.[n].datasetName
also if you specify this option for a non-wildcard collection.Example
{ ..., "name": "myFederatedDbCollection", "dataSources": [ { "storeName": "aws-dl-store", "datasetPrefix": "v1$atlas$archive$MyCluster$MyDB$MyArchiveId" } ] }
databases.[n].collections.[n].dataSources.[n].trimLevel
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
0
and less than7
. You can set this setting for wildcard collections only.You can't configure this setting using the Visual Editor in the Atlas UI. Therefore, this setting defaults to trim level
5
for configurations using the Visual Editor.
databases.[n].collections.[n].dataSources.[n].provenanceFieldName
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:
Field NameDescriptionprovider
Provider (stores.[n].provider
) in the federated database instance storage configurationclusterName
Name of the Atlas clusterdatabaseName
Name of the database on the Atlas clustercollectionName
Name of the collectionsnapshotID
Unique 24-hexadecimal character string that identifies the snapshotdataSetName
Name of the online archive dataset (databases.[n].collections.[n].dataSources.[n].datasetName
)You can't configure this setting using the Visual Editor in the Atlas UI.
databases.[n].collections.[n].dataSources.[n].maxDatasets
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
0
. You can set this setting for wildcard collections only. Atlas Data Federation returns datasets in reverse lexicographical order.Note
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.