Find Document from an Array that Contains a Specific value in MongoDB.The results ensure that the single document is updated. Here, we have updated the document by following this query. To update a single document, use the updateOne() method and pass in the query. To do so, the updateOne() or updateMany() methods are used for updating the documents in MongoDB. In this section of the MongoDB learners tutorial, I will cover how to modify or update the documents of the collection. Update Documents in the MongoDB collection MongoDB find() with all ($all Operator).Retrieve Queried Element in an Object Array in MongoDB.MongoDB Query Where Array Size is Greater than 1.MongoDB Get the Last N Records from the Collection?.Search Object by its ObjectId in Mongo console.MongoDB Find records where the array field is empty.MongoDB Select Single Field from Documents in a Collection.Other most used examples to query MongoDB Furthermore, we can select the appropriate version of the MongoDB Community Server installer for the Windows operating system ( 64-bit or 32-bit). First, we have to visit the official website of MongoDB and click on the Download button for the latest version of the MongoDB Community Server. In this section of the MongoDB tutorial, we will walk through the step-by-step beginner’s installation of MongoDB on your system. Installation of MongoDB 5.1 Download & Install Indexing: Indexing optimizes query performance including single-field indexes, compound indexes, and geospatial indexes. Storage engine: The storage engine of MongoDB is designed to provide high performance and efficiency by using techniques like compression and memory mapping. Replication involves maintaining multiple copies of data across servers in a replica set, which ensures that the data is available even in the event of hardware or network failures. Replication: MongoDB supports the automatic replication of data across multiple servers for high availability and fault tolerance. A shard key, which is a field or collection of fields that determine how data is distributed across shards, is used to partition data across numerous servers during the process of sharding. Sharding: Through sharding, MongoDB is capable of horizontal scaling across multiple machines. Multiple databases can be operated on each server, and numerous collections can exist in each database. Servers: MongoDB servers maintain and control the data.
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