ZooKeeper Features | Why ZooKeeper Is So Popular
1. Objective – ZooKeeper Features
Today, in this ZooKeeper tutorial, we will see ZooKeeper Features. One distributed application offers a lot of applications, but these applications also come with difficulties as well. Though, these difficulties are very hard to address. So, to overcome all these complexities, Apache ZooKeeper provides a wide range of good features of Zookeeper to the user. Hence in this Zookeeper article, here we will learn best Zookeeper Features to understand What makes it stand out from the crowd so well.
So, let’s start exploring ZooKeeper Features
2. Apache Zookeeper Features
So, here is the list of best Features of ZooKeeper:
i. Naming service
To every node, identifying ZooKeeper attaches a unique identification which is quite similar to the DNA. So, that helps to identify it.
ii. Updating the node’s status
Also, it has the flexibility of updating every node. Hence, that feature permits it to store updated information about each node across the cluster.
iii. Managing the cluster
Moreover, in Zookeeper, the status of each node is maintained in real-time. That leaves lesser chances for errors as well as ambiguity, that’s how it manages the cluster.
iv. Automatic failure recovery
While modifying, ZooKeeper locks the data, so, if a failure occurs in the database, that helps the cluster to recover it automatically.
By using a shared hierarchical namespace, it coordinates.
When one or more nodes fail, the system keeps performing.
By stamping each update, it keeps track with a number denoting its order.
In the cases where ‘Reads’ are more common, it runs with the ratio of 10:1.
Performance of Zookeeper can be enhanced by deploying more machines.
x. How is the order beneficial?
To implement higher-level abstractions order is required.
xi. ZooKeeper is fast
Zookeeper works very Fast in “read-dominant” workloads.
xii. Ordered Messages
By stamping each update with a number denoting its order, it keeps track.
Serialization means a surety about the consistency of running application. Though, this approach can be used in MapReduce for coordination of queue in order to execute running threads.
As soon as it applies the update until a client overwrites the update, it will persist from that time forward.
Either data transfer succeeds or fails completely.
xvi. Sequential Consistency
Sequential Consistency means, in the same order that they were sent, they apply the updates from a client, in that order only.
xvii. Single System Image
Despite the server from which it connects to, a client will see the same view of the service.
In some definite time amount, system’s client’s view is up-to-date.
So, this was all in Apache ZooKeeper Features. Hope you like our explanation.
If these professionals can make a switch to Big Data, so can you:
Hence, in this ZooKeeper tutorial, we have seen all the best features of Zookeeper that make it stand out from the crowd. Next, we will see ZooKeeper Architecture. Still, if any doubt regarding Apache ZooKeeper features, ask in the comment tab.
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