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Apache Ignite Quick Start Guide : Distributed Data Caching and Processing Made Easy.
Apache Ignite is a distributed in-memory platform designed to scale and process large volume of data. It can be integrated with microservices as well as monolithic systems, and can be used as a scalable, highly available and performant deployment platform for microservices. This book will teach you...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Birmingham :
Packt Publishing Ltd,
2018.
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| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 100 | 1 | |a Acharya, Sujoy. | |
| 245 | 1 | 0 | |a Apache Ignite Quick Start Guide : |b Distributed Data Caching and Processing Made Easy. |
| 260 | |a Birmingham : |b Packt Publishing Ltd, |c 2018. | ||
| 300 | |a 1 online resource (253 pages) | ||
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| 505 | 0 | |a Cover; Title Page; Copyright and Credits; About Packt; Contributors; Table of Contents; Preface; Chapter 1: Getting Familiar with Apache Ignite; Why Apache Ignite?; Exploring the features; In-Memory Data Grid (IMDG); In-Memory SQL Grid (IMSG); Compute Grid; Service Grid; Streaming and Complex Event Processing; Ignite File System (IGFS); Clustering; Messaging; Distributed data structures; Refactoring the architecture; Achieving High Performance; Addressing High Availability and Resiliency; Sharing Data; Moving Computation To Data; Installing Apache Ignite; Running HelloWorld | |
| 505 | 8 | |a Classifying Apache IgniteIMDB versus IMDG; YugaByte DB; Geode, Hazelcast, Redis, and EhCache; Summary; References; Chapter 2: Understanding the Topologies and Caching Strategies; CAP theorem and Apache Ignite; Clustering architecture; Node discovery; TCP/IP discovery; ZooKeeper discovery; Node deployment; Cluster grouping; All nodes; Remote nodes; Cache nodes; Grouping by attributes; Grouping by node age; Local nodes; Client and server nodes; Custom nodes; Caching topology; Local; Partitioned; Replicated; Caching strategy; Cache aside; Read-through and write-through; Write-behind; Summary | |
| 505 | 8 | |a Chapter 3: Working with Data GridsExploring the Data Grid ; Viewing cache elements; Configuring the DataGrid; Configuring Ignite caching ; Configuring L2 Caching; Web session clustering; How did it work?; Summary; Chapter 4: Exploring the Compute Grid and Query API; Query API; ScanQuery; TextQuery ; SqlQuery; Collocated ; Annotation-based query; Field based query; Non-collocated ; SQL functions; Compute Grid; Distributed Closure; Broadcasting asynchronously; Exploring the run and call APIs; Exploring the apply API; Ignite MapReduce/ForkJoin; Task Adapter; Task Split; Task Sessions | |
| 505 | 8 | |a Ignite Executor ServiceIgnite Job Scheduler; Ignite AOP; Summary; Chapter 5: Building MicroServices with Service Grid; Understanding the service grid; Deploying microservices on Ignite; Building microservices; Processing complex events; Streaming events; Summary; Chapter 6: Sharpening Ignite Skills; Writing data to a persistent store ; Enabling native persistence; Persisting data to MySQL; Persisting data to Cassandra; Working with the POJO strategy ; Working with the BLOB strategy; Processing transactions; Exploring transactional mode; Transaction concurrency and isolation | |
| 505 | 8 | |a Exploring distributed data structuresCountDownLatch; Semaphore; ID generator; Queue and Set; Atomic types; IgniteAtomicLong; IgniteAtomicReference; IgniteAtomicStamped; Summary; Chapter 7: Deploying To Production; Understanding the memory model; Retrieving a value; Storing an entry ; Preventing OOM; Off-heap eviction ; RANDOM_LRU; RANDOM_2_LRU ; On-heap eviction; LRU; FIFO; SORTED; Swap space; Expiring entries; Monitoring memory and caches; Memory region monitoring; Cache monitoring; JMX console monitoring ; Securing data; Tuning performance; Exploring the deployment options; Summary | |
| 504 | |a References | ||
| 520 | |a Apache Ignite is a distributed in-memory platform designed to scale and process large volume of data. It can be integrated with microservices as well as monolithic systems, and can be used as a scalable, highly available and performant deployment platform for microservices. This book will teach you to use Apache Ignite for building a high ... | ||
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