How do I select a Mongo shard key?

Starting in MongoDB 4.4, you can use the refineCollectionShardKey command to refine a collection’s shard key. The refineCollectionShardKey command adds a suffix field or fields to the existing key to create the new shard key.

How do you shard in MongoDB?

You select the shard key when sharding a collection.

1. Starting in MongoDB 5.0, you can reshard a collection by changing a collection’s shard key.
2. Starting in MongoDB 4.4, you can refine a shard key by adding a suffix field or fields to the existing shard key.

Is sharding possible in MongoDB?

Sharding is the process of distributing data across multiple hosts. In MongoDB, sharding is achieved by splitting large data sets into small data sets across multiple MongoDB instances.

What is MongoDB shard key?

The shard key is either a single indexed field or multiple fields covered by a compound index that determines the distribution of the collection’s documents among the cluster’s shards.

When should I shard MongoDB?

Sharding a Collection to Distribute Data This is when you would typically scale your servers. However, with a MongoDB sharded collection, sharding is recommended when the collection is still empty. Sharding is MongoDB’s way of supporting horizontal scaling.

What is the use of shards in MongoDB?

Sharding in MongoDB Shards − Shards are used to store data. They provide high availability and data consistency. In production environment, each shard is a separate replica set. Config Servers − Config servers store the cluster’s metadata.

What is difference between sharding and replication?

What is the difference between replication and sharding? Replication: The primary server node copies data onto secondary server nodes. This can help increase data availability and act as a backup, in case if the primary server fails. Sharding: Handles horizontal scaling across servers using a shard key.

How do I choose a shard?

The choice of shard key determines three important things:

1. The distribution of reads and writes. The most important of these is distribution of reads and writes.
2. The size of your chunks. Secondarily important is the chunk size.
3. The number of shards each query hits.
4. Hashed id.
5. Multi-tenant compound index.