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Cassandra High Availability.
Annotation
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Packt Publishing,
2014.
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| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Cassandra's Approach to High Availability; ACID; The monolithic architecture; The master-slave architecture; Sharding; Master failover; Cassandra's solution; Cassandra architecture; Distributed hash table; Replication; Replication across data centers; Tunable consistency; The CAP theorem; Summary; Chapter 2: Data Distribution; Hash table fundamentals; Distributing hash tables; Consistent hashing; The mechanics of consistent hashing; Token assignment.
- Manually assigned tokensvnodes; How vnodes improve availability; Partitioners; Hotspots; Effects of scaling out using the ByteOrderedPartitioner; A time-series example; Summary; Chapter 3: Replication; The replication factor; Replication strategies; SimpleStrategy; NetworkTopologyStrategy; Snitches; Maintaining the replication factor when a node fails; Consistency conflicts; Consistency levels; Repairing data; Balancing the replication factor with consistency; Summary; Chapter 4: Data Centers; Use cases for multiple data centers; Live backup; Failover; Load balancing; Geographic distribution.
- Online analysisAnalysis using Hadoop; Analysis using Spark; Data center setup; RackInferringSnitch; PropertyFileSnitch; GossipingPropertyFileSnitch; Cloud snitches; Replication across data centers; Setting the replication factor; Consistency in a multiple data center environment; The anatomy of a replicated write; Achieving stronger consistency between data centers; Summary; Chapter 5: Scaling Out; Choosing the right hardware configuration; Scaling out versus scaling up; Growing your cluster; Adding nodes without vnodes; Adding nodes with vnodes; How to scale out; Adding a data center.
- How to scale upUpgrading in place; Scaling up using data center replication; Removing nodes; Removing nodes within a data center; Decommissioning a data center; Other data migration scenarios; Snitch changes; Summary; Chapter 6: High Availability Features in the Native Java Client; Thrift versus the native protocol; Setting up the environment; Connecting to the cluster; Executing statements; Prepared statements; Batched statements; Caution with batches; Handling asynchronous requests; Running queries in parallel; Load balancing; Failing over to a remote data center.
- Downgrading the consistency levelDefining your own retry policy; Token awareness; Tying it all together; Falling back to QUORUM; Summary; Chapter 7: Modeling for High Availability; How Cassandra stores data; Implications of a log-structured storage; Understanding compaction; Size-tiered compaction; Leveled compaction; Date-tiered compaction; CQL under the hood; Single primary key; Compound keys; Partition keys; Clustering columns; Composite partition keys; The importance of the storage model; Understanding queries; Query by key; Range queries; Denormalizing with collections.