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Zookeeper

Zookeeper. Wait-Free Coordination for Internet-Scale Systems. What is ZooKeeper. Service for coordinating distributed processes Wait-free coordination Enables high-performance server implementation Can handle hundreds of thousands of transactions per second

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Zookeeper

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  1. Zookeeper Wait-Free Coordination for Internet-Scale Systems

  2. What is ZooKeeper • Service for coordinating distributed processes • Wait-free coordination • Enables high-performance server implementation • Can handle hundreds of thousands of transactions per second • Distributed system for implementing distributed systems!

  3. What distributed processes entail • Large number of processes • Heterogeneous hardware • Inter-Process Communication • Asynchronous systems • Network delays

  4. Some Examples • Search engines • Crawling • Indexing • Query Processing • Large-scale data processing • Map-reduce • Hadoop • Dryad

  5. Why is it necessary • Distributed systems need • Configuration Maintenance • Distributed Synchronization • Group Membership • Because • Race Conditions • Deadlocks • Bugs

  6. Introduction • ZooKeeper – Coordination service • Database of meta-data • Relieves distributed systems of its distributed responsibilities • How?

  7. Elements of ZooKeeper • Replicated in-memory database • Hierarchical DHT • Coarse-grained lock service • Event queue server • Hierarchical Pub/Sub server

  8. Guarantees of ZooKeeper • Serializability • Serializable Reads • All reads from a client are processed in order • Linearizability • Linearizable Writes • All writes from all clients are processed in order

  9. Data Model • File system supporting full reads and writes • Uses znodes • Data objects • Hierarchical ordering • Znodes are unlike files • Does support storing metadata

  10. Data Model

  11. The API • create(path, data, flags) • delete(path, version) • exists(path, watch) • getData(path, watch) • setData(path, data, version) • getChildren(path, watch) • sync(path)

  12. Why multiple functions for a function • Atomicity • Message passing • Three notifications • Exists -> znode insertion at a path • getData -> znode data updates • getChildren -> znode group broadcasts • Failure detection • Synchronization

  13. The many guarantees of ZooKeeper • Sequential consistency • Atomicity • Reliability • Group revision • Linearizable reads

  14. ZooKeeper Implementation

  15. ZooKeeper ImplementationRequest Processor • Provides high availability by replication • Use atomic broadcast for coordination in case of writes • If read request, simply generate response

  16. ZooKeeper ImplementationRequest Processor • Replicated database contains entire tree • Maintains logs for recoverability • Clients connect to one server to submit requests • Transactions are idempotent. • Writes forwarded to one server – leader

  17. ZooKeeper Implementation

  18. ZooKeeper Primitives • Configuration Management • Rendezvous • Group membership • Simple locks • Read / Write locks • Double barrier

  19. Evaluation of ZooKeeper • Variable number of servers, fixed number of clients. • 35 machines simulating 250 simultaneous clients, which all use the asynchronous API. • Read/write payloads all 1KB in size. • Benchmarking done on the client side.

  20. Evaluation of ZooKeeper

  21. Evaluation of ZooKeeper

  22. Evaluation of ZooKeeper 1. Failure and recovery of a follower; 2. Failure and recovery of a different follower; 3. Failure of the leader; 4. Failure of two followers (a, b) in the first two marks, and recovery at the third mark (c); 5. Failure of the leader.

  23. Conclusion • Wait-free approach towards coordinating processes • Used in several applications • Yahoo Message Broker (Pub/Sub) • Hadoop • Katta – Distributed Indexer

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