Table of Contents
Is MongoDB good for caching?
A lot of people do use MongoDB for a low-medium grade cache and it works just great. Because it offers more functionality than a simple key value store via ad-hoc queryability it isn’t as pure of a caching layer as a memcache or redis (it can be slower to insert and retrieve data).
How does MongoDB query work?
These queries are sent to the MongoDB server present in the Data Layer. Now, the MongoDB server receives the queries and passes the received queries to the storage engine. MongoDB server itself does not directly read or write the data to the files or disk or memory.
How does query caching work?
Query cache is a prominent MySQL feature that speeds up data retrieval from a database. It achieves this by storing MySQL SELECT statements together with the retrieved record set in memory, then if a client requests identical queries it can serve the data faster without executing commands again from the database.
Is MongoDB faster than Redis?
Redis is faster than MongoDB because it’s an in-memory database. This makes it a great choice for building complicated data structures quickly.
Is Redis cache NoSQL?
Redis is an open source (BSD), in-memory key-value data structure store, which can be used as a database, cache or message broker. It’s a NoSQL database used in GitHub, Pinterest and Snapchat.
How MongoDB query faster?
What are some important tips to make MongoDB faster?
- Use Indexes : Queries on MongoDB work faster if there are indexed fields.
- Update Vs Retrieve & Update.
- Read from Primary.
- Storing Data for a record.
- Allocate sufficient RAM.
- Use shorter field names.
How does MongoDB improve query performance?
Optimize Query Performance
- Create Indexes to Support Queries.
- Limit the Number of Query Results to Reduce Network Demand.
- Use Projections to Return Only Necessary Data.
- Use $hint to Select a Particular Index.
- Use the Increment Operator to Perform Operations Server-Side.
What query language does MongoDB use?
MongoDB uses the MongoDB Query Language (MQL), designed for easy use by developers. The documentation compares MQL and SQL syntax for common database operations.
Does database cache query results?
A result cache is an area of memory, either in the Shared Global Area (SGA) or client application memory, that stores the results of a database query or query block for reuse. The cached rows are shared across SQL statements and sessions unless they become stale.
Does Hibernate cache query results?
The Hibernate second level cache is an application level cache for storing entity data. The query cache is a separate cache that stores query results only. When well used these caches provide improved performance in a transparent way, by reducing the number of SQL statements that hit the database.
Is MongoDB really a “schemaless” database?
As a NoSQL database, MongoDB is considered schemaless because it does not require a rigid, pre-defined schema like a relational database. The database management system (DBMS) enforces a partial schema as data is written, explicitly listing collections and indexes.
What is capped collection in MongoDB?
Capped Collections In Mongodb. We can create collections in mongoDb on which we can apply size limit. These special type of collections are called Capped Collections. These are a kind of circular queues, in which if allocated size limit is reached, it makes space for new documents by overwriting the oldest documents in the collection.
How should I store data in MongoDB?
In MongoDB, data is stored as documents. These documents are stored in MongoDB in JSON (JavaScript Object Notation) format. JSON documents support embedded fields, so related data and lists of data can be stored with the document instead of an external table. JSON is formatted as name/value pairs.
Where can MongoDB be used?
MongoDB can be used in supporting content management systems, online and offline gaming applications, e-commerce systems, mobile applications, data analytics section, archiving, as well as logging.