MongoDB Backup Methods
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When deploying MongoDB in production, you should have a strategy for capturing and restoring backups in the case of data loss events.
MongoDB Atlas is a database-as-a-service that offers fully managed backups.
MongoDB Cloud Manager is a hosted back up, monitoring, and automation service for MongoDB. MongoDB Cloud Manager supports backing up and restoring MongoDB replica sets and sharded clusters from a graphical user interface.
The MongoDB Cloud Manager supports the backing up and restoring of MongoDB deployments.
MongoDB Cloud Manager continually backs up MongoDB replica sets and sharded clusters by reading the oplog data from your MongoDB deployment. MongoDB Cloud Manager creates snapshots of your data at set intervals, and can also offer point-in-time recovery of MongoDB replica sets and sharded clusters.
Sharded cluster snapshots are difficult to achieve with other MongoDB backup methods.
With Ops Manager, MongoDB subscribers can install and run the same core software that powers MongoDB Cloud Manager on their own infrastructure. Ops Manager is an on-premise solution that has similar functionality to MongoDB Cloud Manager and is available with Enterprise Advanced subscriptions.
You can create a backup of a MongoDB deployment by making a copy of MongoDB’s underlying data files.
If the volume where MongoDB stores its data files supports point-in-time snapshots, you can use these snapshots to create backups of a MongoDB system at an exact moment in time. File system snapshots are an operating system volume manager feature, and are not specific to MongoDB. With file system snapshots, the operating system takes a snapshot of the volume to use as a baseline for data backup. The mechanics of snapshots depend on the underlying storage system. For example, on Linux, the Logical Volume Manager (LVM) can create snapshots. Similarly, Amazon’s EBS storage system for EC2 supports snapshots.
To get a correct snapshot of a running
mongod process, you must have journaling enabled and the journal must reside on the same logical volume as the other MongoDB data files. Without journaling enabled, there is no guarantee that the snapshot will be consistent or valid.
To get a consistent snapshot of a sharded cluster, you must disable the balancer and capture a snapshot from every shard as well as a config server at approximately the same moment in time.
For more information, see the Back Up and Restore with Filesystem Snapshots and Back Up a Sharded Cluster with File System Snapshots for complete instructions on using LVM to create snapshots.
If your storage system does not support snapshots, you can copy the files directly using
rsync, or a similar tool. Since copying multiple files is not an atomic operation, you must stop all writes to the
mongod before copying the files. Otherwise, you will copy the files in an invalid state.
Backups produced by copying the underlying data do not support point in time recovery for replica sets and are difficult to manage for larger sharded clusters. Additionally, these backups are larger because they include the indexes and duplicate underlying storage padding and fragmentation.
mongodump, by contrast, creates smaller backups.
mongodump reads data from a MongoDB database and creates high fidelity BSON files which the
mongorestore tool can use to populate a MongoDB database.
mongorestore are simple and efficient tools for backing up and restoring small MongoDB deployments, but are not ideal for capturing backups of larger systems.
When connected to a MongoDB instance,
mongodump can adversely affect
mongod performance. If your data is larger than system memory, the queries will push the working set out of memory, causing page faults.
Applications can continue to modify data while
mongodump captures the output. For replica sets,
mongodump provides the
--oplog option to include in its output oplog entries that occur during the
mongodump operation. This allows the corresponding
mongorestore operation to replay the captured oplog. To restore a backup created with
mongorestore with the