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What is the purpose of sharding in MongoDB?
Sharding is a method for distributing data across multiple machines. MongoDB uses sharding to support deployments with very large data sets and high throughput operations.
Can a client connect to more than one shard in Mongo?
Clients should never connect to a single shard in order to perform read or write operations. You can connect to a mongos the same way you connect to a mongod, such as via the mongo shell or a MongoDB driver. MongoDB supports two sharding strategies for distributing data across sharded clusters.
What happens when a chunk is split in MongoDB?
A chunk may be split into multiple chunks where necessary. Inserts and updates may trigger splits. Splits are an efficient meta-data change. To create splits, MongoDB does not migrate any data or affect the shards. Splits may lead to an uneven distribution of the chunks for a collection across the shards.
Is there a way to unshard a MongoDB cluster?
Sharded cluster infrastructure requirements and complexity require careful planning, execution, and maintenance. Once a collection has been sharded, MongoDB provides no method to unshard a sharded collection. Careful consideration in choosing the shard key is necessary for ensuring cluster performance and efficiency.
Sharding is MongoDB’s solution for meeting the demands of data growth. Sharding stores data records across multiple servers to provide faster throughput on read and write queries, particularly for very large data sets. Any of the servers in the sharded cluster can respond to a read or write operation, which greatly speeds up query responses.
What’s the difference between replica and Master in MongoDB?
A Replica-Set means that you have multiple instances of MongoDB which each mirror all the data of each other. A replica-set consists of one Master (also called “Primary”) and one or more Slaves (aka Secondary).
What’s the difference between sharding and replicating data?
Sharding is not about replicating data, but about fragmenting data. Each fragment of data is called chunk and goes to a different shard. shard = each replica set. “main” server, running mongos instead of mongod. This is a router for queries from the client. Obvious: The trade-off is a more complex architecture.
What’s the difference between a replica and a sharded cluster?
In Atlas “clusters”, can be either a replica set or a sharded cluster. These two address high availability and scalability features of our cloud environment. In general Cluster is a group of servers used to achieve a specific task. So sharded clusters are used to store data in across multiple machines to meet the demand of data growth.