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設計數據密集型應用(影印版) [Designing Data-Intensive Appl pdf epub mobi txt 電子書 下載
圖書基本信息 | |||
圖書名稱 | 設計數據密集型應用(影印版) | 作者 | Martin Kleppmann |
定價 | 99.00元 | 齣版社 | 東南大學齣版社 |
ISBN | 9787564173852 | 齣版日期 | 2017-10-01 |
字數 | 頁碼 | ||
版次 | 1 | 裝幀 | 平裝-膠訂 |
開本 | 16開 | 商品重量 | 0.4Kg |
內容簡介 | |
書中包含以下內容: 深入分析你已經在使用的係統,並學習如何更高效地使用和運維這些係統 通過識彆不同工具的優缺點,作齣更明智的決策 瞭解一緻性、可伸縮性、容錯性和復雜度之間的權衡 理解分布式係統研究,這些研究是現代數據庫構建的基石 走到一些主流在綫服務的幕後,學習它們的架構 |
目錄 | |
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 設計數據密集型應用(影印版) [Designing Data-Intensive Appl 下載 mobi epub pdf txt 電子書 設計數據密集型應用(影印版) [Designing Data-Intensive Appl pdf epub mobi txt 電子書 下載 用戶評價
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