
Understand why zookeeper is needed in distributed apps. Leverage a robust coordination service with a simple API for master election, group membership, and metadata, via an ensemble of servers.
Explore how zookeeper's specialized design centers on coordination tasks, improving agility and enabling robust implementations in distributed applications while letting developers focus on application logic rather than distributed system concepts.
Explore what ZooKeeper is and what it doesn’t do: a coordination service, not a master election or live process tracker, with open source governance and support for separate coordination data.
Explore how distributed systems coordinate components across machines, and how ZooKeeper's shared storage model simplifies coordination, handles message delays, clock drift, and crash scenarios.
Detect and handle worker failures in a master–worker task system by reassigning unfinished tasks, coordinating crash detection, and recovering state after side effects.
Explore how communication failures when a worker disconnects from the master can cause duplicate task execution after a network partition, and learn when to reassign with or without verification.
Explore exactly-once and at-most-once semantics with logs, master election, and crash detection, and explain how ephemeral data, group membership management, and metadata management enable reliable task coordination in Zookeeper.
Explore the four znode modes in ZooKeeper: persistent, ephemeral, sequential, and ephemeral sequential, and how they affect creation, deletion, and session-based behavior in master and worker examples.
Learn how watches and notifications replace polling by letting clients register for changes to z nodes, using one-shot watches, and receiving ordered updates for data or children.
Explore how ZooKeeper increments version numbers on data changes and uses them to guard concurrent updates, with set data and delete succeeding only when the client version matches the server.
Explore how Zookeeper architecture enables client interactions through the client library and servers. Learn how standalone and quorum modes use a Zookeeper ensemble to replicate state and serve requests.
Learn about zookeeper quorums, where the data tree is replicated across the ensemble and a majority keeps updates durable. Prefer odd server counts to tolerate crashes and avoid split-brain.
Set up a local ZooKeeper session in standalone mode, start the server, connect with the ZK CLI to localhost:2181, and create and delete a worker znode.
Explore the lifetime of a ZooKeeper session from creation to end, detailing states such as connecting, connected, and closed, and the events that trigger transitions.
Configure a three-node ZooKeeper ensemble on a single machine to form a quorum, enabling leader election and reliable coordination. Connect clients via a host:port connect string for quorum access.
Explore Zookeeper API and its Java and C bindings, clients connect to an ensemble and perform create, exists, get data, set data, get children, delete with synchronous or asynchronous methods.
Create a znode in the zookeeper ensemble using the create method with a path and data, using open ACL unsafe and persistent create mode; demonstrate with a Java example.
Explore the zookeeper getData method to retrieve data from a specified z node with a path and watcher, including one-time notifications when data changes.
Demonstrate how the zookeeper setData method updates znode data at a path using versioning, and show a java example to perform the update and verify with the zookeeper cli.
Learn how to use the Getchildren method to fetch all subnodes of a znode with a path and watcher, and print the children in a Java example.
Learn how to delete a z node in Apache Zookeeper using the delete method, checking existence and version, with a Java example that deletes the z node and its subnodes.
Set data and child watches on znodes using exist, get data, and get children, triggering events such as node created or data changed; implement a watcher to process these events.
Explore watches as a replacement for explicit cache management in zookeeper, enabling clients to cache znode data and its list of children locally while receiving asynchronous update notifications.
Explore the master worker example in Apache Zookeeper and state changes. See how mastership changes and waits for worker lists and tasks, while clients await task execution results with code.
Explore how Zookeeper recovers from recoverable failures by reestablishing sessions after disconnections, syncing connected events, and reregistering watches to maintain consistent state across clients.
Explore how the exists watch and the disconnected event affect Zookeeper session recovery; the client reestablishes watches on reconnect, but creation events can be missed in certain corner cases.
Explore leader election and fencing token, using z id to prevent external resource corruption when Zookeeper sessions fail from overload or clock drift.
ZooKeeper is a distributed co-ordination service to manage large set of hosts. Co-ordinating and managing a service in a distributed environment is a complicated process. ZooKeeper solves this issue with its simple architecture and API. ZooKeeper allows developers to focus on core application logic without worrying about the distributed nature of the application.
ZooKeeper is a distributed co-ordination service to manage large set of hosts.
The ZooKeeper framework was originally built at “Yahoo!” for accessing their applications in an easy and robust manner. Later, Apache ZooKeeper became a standard for organized service used by Hadoop, HBase, and other distributed frameworks. For example, Apache HBase uses ZooKeeper to track the status of distributed data. This course explains the basics of ZooKeeper, how to install and deploy a ZooKeeper cluster in a distributed environment, and finally concludes with a few examples using Java programming and sample applications.
This course has been prepared for professionals aspiring to make a career in Big Data Analytics using ZooKeeper framework. It will give you enough understanding on how to use ZooKeeper to create distributed clusters.
Before proceeding with this course, you must have a good understanding of Java because the ZooKeeper server runs on JVM, distributed process, and Linux environment.