设计数据密集型应用（影印版） [Designing Data-Intensive Appl 下载 mobi epub pdf 电子书 2024

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发表于2024-11-27

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出版社：东南大学出版社

ISBN：9787564173852

商品编码：22298652870

包装：平装-胶订

出版时间：2017-10-01

图书描述

图书基本信息
图书名称	设计数据密集型应用(影印版)	作者	Martin Kleppmann
定价	99.00元	出版社	东南大学出版社
ISBN	9787564173852	出版日期	2017-10-01
字数		页码
版次	1	装帧	平装-胶订
开本	16开	商品重量	0.4Kg

内容简介
书中包含以下内容: 深入分析你已经在使用的系统，并学习如何更高效地使用和运维这些系统通过识别不同工具的优缺点，作出更明智的决策了解一致性、可伸缩性、容错性和复杂度之间的权衡理解分布式系统研究，这些研究是现代数据库构建的基石走到一些主流在线服务的幕后，学习它们的架构

Part I. Foundations of Data Systems
1. Reliable, Scalable, and Maintainable Applications 3
Thinking About Data Systems 4
Reliability 6
Hardware Faults 7
Software Errors 8
Human Errors 9
How Important Is Reliability 10
Scalability 10
Describing Load 11
Describing Performance 13
Approaches for Coping with Load 17
Maintainability 18
Operability: Making Life Easy for Operations 19
Simplicity: Managing Complexity 20
Evolvability: Making Change Easy 21
Summary 22
2. Data Models and Query Languages 27
Relational Model Versus Document Model 28
The Birth of NoSQL 29
The Object-Relational Mismatch 29
Many-to-One and Many-to-Many Relationships 33
Are Document Databases Repeating History 36
Relational Versus Document Databases Today 38
Query Languages for Data 42
Declarative Queries on the Web 44
MapReduce Querying 46
Graph-Like Data Models 49
Property Graphs 50
The Cypher Query Language 52
Graph Queries in SQL 53
Triple-Stores and SPARQL 55
The Foundation: Datalog 60
Summary 63
3. Storage and Retrieval 69
Data Structures That Power Your Database 70
Hash Indexes 72
SSTables and LSM-Trees 76
B-Trees 79
Comparing B-Trees and LSM-Trees 83
Other Indexing Structures 85
Transaction Processing or Analytics 90
Data Warehousing 91
Stars and Snowflakes: Schemas for Analytics 93
Column-Oriented Storage 95
Column Compression 97
Sort Order in Column Storage 99
Writing to Column-Oriented Storage 101
Aggregation: Data Cubes and Materialized Views 101
Summary 103
4. Encoding and Evolution 111
Formats for Encoding Data 112
Language-Specific Formats 113
JSON, XML, and Binary Variants 114
Thrift and Protocol Buffers 117
Avro 122
The Merits of Schemas 127
Modes of Dataflow 128
Dataflow Through Databases 129
Dataflow Through Services: REST and RPC 131
Message-Passing Dataflow 136
Summary 139
Part II. Distributed Data
5. Replication 151
Leaders and Followers 152
Synchronous Versus Asynchronous Replication 153
Setting Up New Followers 155
Handling Node Outages 156
Implementation of Replication Logs 158
Problems with Replication Lag 161
Reading Your Own Writes 162
Monotonic Reads 164
Consistent Prefix Reads 165
Solutions for Replication Lag 167
Multi-Leader Replication 168
Use Cases for Multi-Leader Replication 168
Handling Write Conflicts 171
Multi-Leader Replication Topologies 175
Leaderless Replication 177
Writing to the Database When a Node Is Down 177
Limitations of Quorum Consistency 181
Sloppy Quorums and Hinted Handoff 183
Detecting Concurrent Writes 184
Summary 192
6. Partitioning 199
Partitioning and Replication 200
Partitioning of Key-Value Data 201
Partitioning by Key Range 202
Partitioning by Hash of Key 203
Skewed Workloads and Relieving Hot Spots 205
Partitioning and Secondary Indexes 206
Partitioning Secondary Indexes by Document 206
Partitioning Secondary Indexes by Term 208
Rebalancing Partitions 209
Strategies for Rebalancing 210
Operations: Automatic or Manual Rebalancing 213
Request Routing 214
Parallel Query Execution 216
Summary 216
7. Transactions 221
设计数据密集型应用（影印版） [Designing Data-Intensive Appl 下载 mobi epub pdf txt 电子书格式