Time the backup of data sets around periods of low bandwidth/traffic. Use secondary servers for backups as this helps avoid degrading the performance of the primary node. Fallback snapshots are created using a different process, and they may have inconsistent data. While you can use a fallback snapshot to restore a cluster, it should only be done when absolutely necessary. If a snapshot fails, Atlas will automatically attempt to create another snapshot. While you can also enable cloud backups when modifying an existing cluster, you should turn this feature on by default, as it will prevent data loss. When creating a new cluster, you have the option to turn on cloud backup. Similarly, a structure for a collection will be created whenever the first document is inserted into the database. You don’t need to explicitly create a MongoDB database, as it will be automatically created when you specify a database to import from. While JSON is easy to work with, it doesn’t support all of the data types that BSON supports, and it may lead to the loss of fidelity. It’s better to use BSON when backing up and restoring. MongoDB uses both regular JSON and Binary JSON (BSON) file formats. There are some best practices you should follow when using the MongoDB backup and restore services for your MongoDB clusters. MongoDB Backup and Restore Best Practices The cloud backup and cloud restore functions remain the preferred method of managing backups. The MongoDB Atlas backup feature incrementally backs up the data in a specified cluster, and you can restore from these snapshots or from any point in time within the past 24 hours. Legacy backups are supported but deprecated. The target cluster must also be using either the same version of MongoDB or a newer version than the snapshot cluster. The restore function in MongoDB Atlas lets the user restore to either a replica set or a sharded cluster, as long as the destination uses the same encryption provider as the snapshot cluster of origin. MongoDB Atlas supports cloud backups for clusters served on the following hosting platforms: MongoDB Cloud Backups are created using the native snapshot functionality of the cluster’s cloud service provider. MongoDB Atlas allows the user to create backups using the cloud backup system. MongoDB Atlas can work with both logical and physical backups. This helps protect you from data loss, as you can restore a database to a MongoDB instance using a created copy of that instance.īackups created with plain MongoDB Backup and Restore tools are logical backups, and they make use of the BSON data type. The MongoDB Backup and Restore Tool allows you to encapsulate the state of a cluster and return to that state at any time. An example of how to back up and restore using both the MongoDB tools and MongoDB Atlas.The difference between logical and physical backups in MongoDB.Back up and restore using MongoDB Atlas.Back up and restore with the MongoDB tools. A database can be backed up and restored using either MongoDB backup and restore utilities or the cloud database platform MongoDB Atlas. Try to export "listingsAndReviews" from sample_airbnb (or any other collection where a document object contains properties in some cases and no properties in others)Įxport of collection into a JSON file.MongoDB enables users to back up and restore their databases.Load the sample data set into your cluster.In both cases Compass exports all the data. In the example above by either unticking "review_scores" or all of review_scores's properties listed in dot notation. It operates on version 1.24.1.įurthermore, you can circumvent this issue by either unticking the object field in the export settings window or by unticking all the individual object properties. On my private mac this issue does not occur. We tested the behavior on two devices operating on Compass version 1.26.0 accessing different clusters. Compass thereby does not comply with the mongoDB Path Collision Restrictions introduced in mongoDB 4.4 ( ). In the airbnb case it includes "review_scores" and "review_scores.review_scores_accuracy" etc. Should an object contain properties in some documents and none in others, the export function provides an export field for the object in general as well as a field for each object property. For example, the error currently pops up when trying to export the "listingsAndReviews" collection of the airbnb sample record. The reason for this is a self-inflicted path collision error (see picture 1). This error occurs when a certain object contains properties (/fields and values) in some documents and is empty in others. The collection export function of Compass 1.26.0 is faulty.
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