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Is there a TTL in MongoDB?
TTL indexes are special single-field indexes that MongoDB can use to automatically remove documents from a collection after a certain amount of time or at a specific clock time.
What is TTL in database?
Time to Live (TTL) is a mechanism that allows you to automatically expire database records. TTL is expressed as the amount of time data is allowed to live in the database.
Remove or delete records from Mongo DB automatically using the TTL index
Images related to the topicRemove or delete records from Mongo DB automatically using the TTL index

How do I create a capped collection in MongoDB?
To create a capped collection, we use the normal createCollection command but with capped option as true and specifying the maximum size of collection in bytes. This code would convert our existing collection posts to a capped collection.
Does MongoDB have triggers?
MongoDB Realm supports three types of triggers: Database triggers respond to document insert, changes, or deletion. You can configure Database Triggers for each linked MongoDB collection. Authentication triggers respond to user creation, login, or deletion.
Why does MongoDB use BSON?
Unlike systems that simply store JSON as string-encoded values, or binary-encoded blobs, MongoDB uses BSON to offer the industry’s most powerful indexing and querying features on top of the web’s most usable data format.
How do I purge data in MongoDB?
- Stop MongoDB process: sudo service mongod stop.
- Completely remove the installed MongoDB packages: sudo apt-get purge mongodb-org*
- Remove the data directories, MongoDB database(s), and log files: sudo rm -r /var/log/mongodb /var/lib/mongodb.
What is the maximum size of document in MongoDB?
Document Size Limit
The maximum BSON document size is 16 megabytes. The maximum document size helps ensure that a single document cannot use excessive amount of RAM or, during transmission, excessive amount of bandwidth. To store documents larger than the maximum size, MongoDB provides the GridFS API.
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MongoDB per-document TTL feature in Azure Cosmos DB
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Managing MongoDB TTL Indexes – Akana Documentation
In these scenarios, MongoDB built-in TTL indexes allow you to control how long data is kept for. When the TTL setting is reached, the MongoDB document is …
What is the maximum size of collection in MongoDB?
Average Size of Shard Key Values | 512 bytes | 256 bytes |
---|---|---|
Maximum Number of Splits | 32,768 | 65,536 |
Max Collection Size (64 MB Chunk Size) | 1 TB | 2 TB |
Max Collection Size (128 MB Chunk Size) | 2 TB | 4 TB |
Max Collection Size (256 MB Chunk Size) | 4 TB | 8 TB |
What is CAP theorem in MongoDB?
The CAP theorem states that a distributed system can provide only two of three desired properties: consistency, availability, and partition tolerance. Consistency (C): Every client sees the same data. Every read receives the data from the most recent write.
How is MongoDB billed?
You’re billed for usage beyond your credits with monthly invoices. Your organization activity feed produces an event notifying you that MongoDB will invoice your organization for your monthly usage. The payment method section of your organization’s billing overview reflects the change.
TTL Indexes trong MongoDB (Bài 11)
Images related to the topicTTL Indexes trong MongoDB (Bài 11)

Does MongoDB have stored procedures?
First and foremost, MongoDB does not support Stored Procedures, but it does provide a stored javascript feature. This feature offers similar functions and allows writing code in Javascript. It might seem strange but in a real language, it is better to program.
Is MongoDB an API?
The MongoDB Atlas Data API provides a simple way to read and write data in MongoDB Atlas without requiring a driver library, providing the core of the driver’s functions using JSON over HTTPS and allowing data access to MongoDB Atlas from a range of environments where a driver is either not possible or not practical.
Which is better JSON or BSON?
…
Difference Between JSON vs BSON.
JSON | BSON |
---|---|
JSON uses less space in comparison to BSON. | BSON uses more space as compared to JSON. |
Why BSON is faster than JSON?
BSON is also designed in a way that it has a comparatively faster encoding and decoding technique. For example, all those integers stored as 32-bit integers so that they are not parsed with them to and from the text. Therefore, it uses more space than JSON for smaller integers, but BSON is anyway much faster to parse.
Is BSON smaller than JSON?
For an integer field, the JSON length depends on the size of the number. “1” is just one byte. “1000000” is 7 bytes. In BSON both of these would be a 4 byte 32 bit integer.
What is the difference between remove and delete in MongoDB?
They do the same. The difference is the values that return.
How do I remove all data from a collection in MongoDB?
To delete all documents in a collection, pass an empty document ({}). To limit the deletion to just one document, set to true. Omit to use the default value of false and delete all documents matching the deletion criteria.
What is Mongosh?
The MongoDB Shell, mongosh , is a fully functional JavaScript and Node. js 16. x REPL environment for interacting with MongoDB deployments. You can use the MongoDB Shell to test queries and operations directly with your database. mongosh is available as a standalone package in the MongoDB download center.
How many data can MongoDB handle?
MongoDB is happy to accommodate large documents of up to 16 MB in collections, and GridFS is designed for large documents over 16MB. Because large documents can be accommodated doesn’t mean that it is a good idea.
TTL Indexes in mongoDb | Explain TTL indexes behaviour and restrictions | Part – 1
Images related to the topicTTL Indexes in mongoDb | Explain TTL indexes behaviour and restrictions | Part – 1

Can we increase document size in MongoDB?
The only way to have larger document size would be to change the limit in the source code and to recompile/build it yourself and then run your own changed copy.
How big is a 16MB MongoDB document?
With its 16Mb limit, a MongoDB document can easily store around 2 million values of 64-bit numbers (also dates and booleans). But strings are a special case. Each UTF-8 character takes one byte.
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