Is there any need to create database command in MongoDB?
Answer:
You don't need to create a database manually in MongoDB because it creates automaically when you save the value into the defined collection at first time.
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ViewWhat is the difference between MongoDB and Cassandra?
Answer:
Difference between MongoDB and Cassandra:
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ViewWhat is the difference between MongoDB and CouchDB?
Answer:
Difference between MongoDB and CouchDB:
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ViewWhat is the difference between MongoDB and Redis database?
Answer:
Difference between MongoDB and Redis:
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ViewHow does MongoDB provide concurrency?
Answer:
MongoDB uses reader-writer locks for concurrency. Reader-writer locks allow concurrent readers shared access to a resource, such as a database or collection, but give exclusive access to a single write operation.
ViewHow to configure the cache size for WiredTiger in MongoDB?
Answer:
For the WiredTiger storage engine, you can specify the maximum size of the cache that WiredTiger will use for all data. This can be done using storage.wiredTiger.engineConfig.cacheSizeGB option.
ViewIs it possible to configure the cache size for MMAPv1 in MongoDB?
Answer:
No. it is not possible to configure the cache size for MMAPv1 because MMAPv1 does not allow configuring the cache size.
ViewWhat is the usage of profiler in MongoDB?
Answer:
A database profiler is used to collect data about MongoDB write operations, cursors, database commands on a running mongod instance. You can enable profiling on a per-database or per-instance basis.
The database profiler writes all the data it collects to the system. profile collection, which is a capped collection.
ViewWhich are the storage engines used by MongoDB?
Answer:
MMAPv1 and WiredTiger are two storage engine used by MongoDB.
ViewWhat is a storage engine in MongoDB?
Answer:
A storage engine is the part of a database that is used to manage how data is stored on disk.
For example: one storage engine might offer better performance for read-heavy workloads, and another might support a higher-throughput for write operations.
ViewWhy are MongoDB data files large in size?
Answer:
MongoDB doesn't follow file system fragmentation and pre allocates data files to reserve space while setting up the server. That's why MongoDB data files are large in size.
ViewWhat will happen when you remove a document from database in MongoDB? Does MongoDB remove it from disk?
Answer:
Yes. If you remove a document from database, MongoDB will remove it from disk too.
ViewIn which format MongoDB represents document structure?
Answer:
MongoDB uses BSON to represent document structures.
ViewWhat is CRUD in MongoDB?
Answer:
MongoDB supports following CRUD operations:
By default, which replica sets are used to write data?
Answer:
By default, MongoDB writes data only to the primary replica set.
ViewWhat is primary and secondary replica set in MongoDB?
Answer:
In MongoDB, primary nodes are the node that can accept write. These are also known as master nodes. The replication in MongoDB is single master so, only one node can accept write operations at a time.
Secondary nodes are known as slave nodes. These are read only nodes that replicate from the primary.
ViewWhat is replica set in MongoDB?
Answer:
A replica can be specified as a group of mongo instances that host the same data set. In a replica set, one node is primary, and another is secondary. All data is replicated from primary to secondary nodes.
ViewWhat is sharding in MongoDB?
Answer:
In MongoDB, Sharding is a procedure of storing data records across multiple machines. It is a MongoDB approach to meet the demands of data growth. It creates horizontal partition of data in a database or search engine. Each partition is referred as shard or database shard.
ViewWhat is the importance of covered query?
Answer:
Covered query makes the execution of the query faster because indexes are stored in RAM or sequentially located on disk. It makes the execution of the query faster.
Covered query makes the fields are covered in the index itself, MongoDB can match the query condition as well as return the result fields using the same index without looking inside the documents.
ViewExplain the covered query in MongoDB.
Answer:
A query is called covered query if satisfies the following two conditions:
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