Update operations (replacement and (mandatory) settings) first update the RAM cache, and subsequent reads are the new values. This is the consistency model.
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Couchbase is a “final persistence” (EP) architecture, in which CRUD operations first update the RAM cache and insert it into the EP queue of disk i/o. At the same time, when the copy is configured, they will enter the copy Queue and transmit to other nodes. EP architecture allows immediate consistency and ultra-high throughput, because disk i/o is the slowest component of all systems.
As WiredPrairie mentioned, a single The node is responsible/active for a given key. The key is hashed, and the result of the hash is the specific partition where it should exist. The partition->couchbase-node mapping maintained by the SDK allows them to go directly to the active node of each partition Again, this reduces latency because it does not have to go through the load balancer (it is load balanced by the architecture itself), nor the “master” node, each node is the master node, nor is it passed through the “shard master”. The effect is to redirect the client to a specific shard. By bypassing all of these, the latency is minimized.
I searched how Couchbase can achieve strong consistency within the cluster Explanation. Are all these results of using membase?
Couchbase IS membase btw. Couchbase is a product and company. The company is a merger of NorthScale (Membase) and the founder of CouchDB. The final name of the company and product is Couchbase. < p>
Update operations (replacement and [mandatory] settings) first update the RAM cache, and subsequent reads are new values. This is a consistency model.
Couchbase is a kind of “final Persistent” (EP) architecture, in which CRUD operations first update the RAM cache and insert it into the EP queue of disk i/o. At the same time, when replicas are configured, they will enter the replica queue and be transmitted to other nodes. The EP architecture allows immediate consistency Performance and ultra-high throughput, because disk i/o is the slowest component of all systems.
As WiredPrairie mentioned, a single node is responsible/active for a given key. Key It is hashed, and the result of the hash is the specific partition where it should exist. The partition->couchbase-node mapping maintained by the SDK allows them to go directly to the active node of each partition. Again, this reduces latency because it does not have to go through The load balancer (which is load balanced by the architecture itself) does not pass through the “master” node, each node is the master node, nor does it pass through the “shard master”, its role is to redirect the client to a specific shard. By bypassing all of these, the delay is reduced to a minimum.