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首页HBase权威指南:大数据时代的分布式数据库
"《HBase权威指南》" 本书深入探讨了HBase这一分布式列式数据库,它是构建在Hadoop生态系统上的,特别适合处理大规模数据。HBase的可伸缩性得益于与Hadoop的紧密集成,使得大数据集能够在由相对低价的商用服务器组成的集群中进行分布式存储和处理。书中详细介绍了如何通过Java客户端以及通过REST、Avro和Thrift等接口的网关服务器来访问HBase,从而提供灵活的数据访问方式。 HBase的架构细节是书中的关键内容,包括其存储格式、预写日志(WAL)机制,以及一系列后台进程如RegionServer、Master Server等。预写日志确保了数据的安全性和一致性,而RegionServer则负责数据分区和存储,Master Server则管理整个系统的元数据和负载均衡。书中还讨论了如何利用Hadoop的MapReduce框架在HBase中进行大规模并行数据处理任务。 此外,读者将了解到如何对HBase集群进行调优,包括设计合理的数据模型、复制表、导入批量数据以及处理节点故障等实际操作。学习这些技能有助于在实际生产环境中有效地管理和维护HBase集群。 书中还涵盖了HBase版本信息,如何构建示例项目,以及一个名为Hush的HBase URL短ener应用程序的实现和运行,这为读者提供了实践HBase功能的机会。作者还提醒读者注意非关系型数据库(NoSQL)与传统关系型数据库的区别,以及在面临大数据挑战时选择合适数据库系统的重要性。 通过阅读本书,读者不仅可以理解HBase的基本原理,还能掌握在大数据场景下使用HBase解决实际问题的技能,从而成为HBase和大数据处理领域的专家。
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New vs . Old API
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Supporting Classes
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MapReduce Locality
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Note
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Table Splits
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Speculative Execution
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Chapter
Chapter
Chapter
Chapter 8.
8.
8.
8. Architecture
Architecture
Architecture
Architecture
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Seek vs . Transfer
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Note
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B + trees
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Log
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Structured Merge
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Trees
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Storage
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Overview
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Note
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Write Path
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Files
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Note
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Note
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Split vs . Split
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Note
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ZooKeeper Support
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HFile Format
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Note
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KeyValue Format
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Write
-
Ahead Log
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Overview
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HLog Class
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Warning
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HLogKey Class
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WALEdit Class
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Note
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LogSyncer Class
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LogRoller Class
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Note
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Replay
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Note
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Durability
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Read Path
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Region Lookups
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Note
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The Region Life Cycle
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ZooKeeper
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Note
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Replication
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Life of a Log Edit
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Internals
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Chapter
Chapter
Chapter
Chapter 9.
9.
9.
9. Advanced
Advanced
Advanced
Advanced Usage
Usage
Usage
Usage
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591
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Key Design
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Concepts
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Tall
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Narrow vs . Flat
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Wide Tables
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Partial Key Scans
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Binary Sorting
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Atomicity?
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Pagination
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Note
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Time Series
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Time Ordered Relations
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Note
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Advanced Schemas
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Secondary Indexes
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Note
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Search Integration
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616
Note
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Transactions
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Bloom Filters
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Note
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19
Versioning
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Implicit Versioning
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Note
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Custom Versioning
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Warning
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Chapter
Chapter
Chapter
Chapter 10.
10.
10.
10. Cluster
Cluster
Cluster
Cluster Monitoring
Monitoring
Monitoring
Monitoring
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Introduction
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"
You will thank me later !"
(
@esammer
)
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The Metrics Framework
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Contexts , Records , and Metrics
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637
Note
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Extended Period
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Master Metrics
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Region Server Metrics
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Note
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Tip : Compaction Queue Limits
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Tip : Flush Queue Limits
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RPC Metrics
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Shared Subsystem
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Tip : Queue Time Limits
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JVM Metrics
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Tip : Garbage Collection Time Limits
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20
Info Metrics
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Ganglia
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Installation
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Supported Ganglia Version
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Note
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Note
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Note
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Usage
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Note
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JMX
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JConsole
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JMX Remote API
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673
Note
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677
Nagios
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679
Chapter
Chapter
Chapter
Chapter 11.
11.
11.
11. Performance
Performance
Performance
Performance Tuning
Tuning
Tuning
Tuning
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682
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682
Garbage Collection Tuning
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Note
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Recommended New Size
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Garbage Collection Logs
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Note
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Memstore
-
Local Allocation Buffer
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Note
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