英威腾GD200_Goodrive200A系列通用型开环矢量变频器_V2.6

描述 TIDA-00299 参考设计为应用处理器实施了成本优化型 EtherCAT:registered: 从器件（双端口）和 SPI 接口。该硬件设计能够利用 AMIC110 工业通信处理器来支持多协议工业以太网和现场总线。该设计具有 5V 输入电压。单个 PMIC 可板载生成所需的所有电源轨。EtherCAT 从堆栈可利用串行外设接口 (SPI) 在 AMIC110 上或应用处理器上运行。利用硬件开关，可对 AMIC110 进行配置，以从 SPI 闪存启动 EtherCAT 从固件，或通过 SPI 从应用处理器进行启动。此设计采用 BoosterPack:trade_mark: 插件模块外形，具有与 TI LaunchPad:trade_mark: 开发套件兼容的连接器，可利用 C2000:trade_mark: MCU 进行轻松评估。JTAG 接口可加快自定义固件开发的速度。 特性 通过 EtherCAT 从器件一致性测试 (CTT) 利用 AMIC110 通信处理器，支持可进行软件编程的多协议工业以太网和现场总线 SPI 接口具有灵活性，可利用板载 AMIC110 处理器或在 C2000 MCU 等应用处理器上运行 EtherCAT 从堆栈 强大的低延迟 10 或 100 兆位以太网 PHY DP83822 利用单个 PMIC 从预调节 5V 电源为整个电路板供电，实现成本优化型的简易电源管理 在工业温度范围内运行，在典型用例中，总电路板功耗低于 1.25W；在高达 85oC 的环境下运行时无需散热器

内容概要： 《低代码指南 》这本书深入分析低代码100问，系统讲解低代码应用开发100课程，100解决方案，十大行业3000模板，应用参谋全面助力企业数字化转型。 适合人群： 开发工程师、应用工程师、业务人员、企业管理者和决策者等。 使用场景： 我曾经坚定地认为：“用低代码平台搭建的应用在体验上远远落后于专业的工具，低代码平台难成大器。”《低代码指南 》这本书让我重新认识到低代码平台的价值：缺乏编程基础能力的业务人员也能根据自身业务需求快速完应用的开发。强烈推荐大家阅读本书，跟随作者的专业视角全面学习低代码，拥抱数字化时代！ 推荐理由： （1）作者资深：六位低代码专家联合撰写。 （2）专家好评：语雀社区，钉钉搭负责人，CSDN社区，CSDN CTO ，低代码内参专家一致推荐。 （3）内容干货：深入分析低代码100问，系统讲解低代码应用开发课程100节，十大行业3000模板，应用参谋全面助力企业数字化转型 精彩书评： 低代码平台从数字化、可视化、自动化、智能化四个方面赋能业务人员，让他们快速建立应用，敏捷响应市场变化，让他们在安全可控的范围内开发强大的应用。《低代码指南 》这本书让我重

完整文字版(英文)，带书签目录，介绍分布式原理，非常非常好的一本书。作者：马丁·科勒普曼 ，目录如下： 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 The Slippery Concept of a Transaction 222 The Meaning of ACID 223 Single-Object and Multi-Object Operations 228 Weak Isolation Levels 233 Read Committed 234 Snapshot Isolation and Repeatable Read 237 Preventing Lost Updates 242 Write Skew and Phantoms 246 Serializability 251 Actual Serial Execution 252 Two-Phase Locking (2PL) 257 Serializable Snapshot Isolation (SSI) 261 Summary 266 8. The Trouble with Distributed Systems 273 Faults and Partial Failures 274 Cloud Computing and Supercomputing 275 Unreliable Networks 277 Network Faults in Practice 279 Detecting Faults 280 Timeouts and Unbounded Delays 281 Synchronous Versus Asynchronous Networks 284 Unreliable Clocks 287 Monotonic Versus Time-of-Day Clocks 288 Clock Synchronization and Accuracy 289 Relying on Synchronized Clocks 291 Process Pauses 295 Knowledge, Truth, and Lies 300 The Truth Is Defined by the Majority 300 Byzantine Faults 304 System Model and Reality 306 Summary 310 9. Consistency and Consensus 321 Consistency Guarantees 322 Linearizability 324 What Makes a System Linearizable? 325 Relying on Linearizability 330 Implementing Linearizable Systems 332 The Cost of Linearizability 335 Ordering Guarantees 339 Ordering and Causality 339 Sequence Number Ordering 343 Total Order Broadcast 348 Distributed Transactions and Consensus 352 Atomic Commit and Two-Phase Commit (2PC) 354 Distributed Transactions in Practice 360 Fault-Tolerant Consensus 364 Membership and Coordination Services 370 Summary 373 Part III. Derived Data 10. Batch Processing 389 Batch Processing with Unix Tools 391 Simple Log Analysis 391 The Unix Philosophy 394 MapReduce and Distributed Filesystems 397 MapReduce Job Execution 399 Reduce-Side Joins and Grouping 403 Map-Side Joins 408 The Output of Batch Workflows 411 Comparing Hadoop to Distributed Databases 414 Beyond MapReduce 419 Materialization of Intermediate State 419 Graphs and Iterative Processing 424 High-Level APIs and Languages 426 Summary 429 11. Stream Processing 439 Transmitting Event Streams 440 Messaging Systems 441 Partitioned Logs 446 Databases and Streams 451 Keeping Systems in Sync 452 Change Data Capture 454 Event Sourcing 457 State, Streams, and Immutability 459 Processing Streams 464 Uses of Stream Processing 465 Reasoning About Time 468 Stream Joins 472 Fault Tolerance 476 Summary 479 12. The Future of Data Systems 489 Data Integration 490 Combining Specialized Tools by Deriving Data 490 Batch and Stream Processing 494 Unbundling Databases 499 Composing Data Storage Technologies 499 Designing Applications Around Dataflow 504 Observing Derived State 509 Aiming for Correctness 515 The End-to-End Argument for Databases 516 Enforcing Constraints 521 Timeliness and Integrity 524 Trust, but Verify 528 Doing the Right Thing 533 Predictive Analytics 533 Privacy and Tracking 536 Summary 543 Glossary 553 Index 559

第4章文摘型数据库第4章文摘型数据库

本文主要讲了PNP型三极管做的典型开关电路，下面一起来学习一下

MobaXterm 是一款主流的SSH客户端 MobaXterm 又名 MobaXVT，是一款增强型终端、X 服务器和 Unix 命令集(GNU/ Cygwin)工具箱。 MobaXterm 可以开启多个终端视窗，以最新的 X 服务器为基础的 X.Org，可以轻松地来试用 Unix/Linux 上的 GNU Unix 命令。这样一来，我们可以不用安装虚拟机来试用虚拟环境，然后只要通过 MobaXterm 就可以使用大多数的 linux 命令。MobaXterm 还有很强的扩展能力，可以集成插件来运行 Gcc, Perl、Curl、Tcl / Tk / Expect 等程序。 MobaXterm 分免费开源版和收费专业版。官网提供 MobaXterm 的免费开源版 “Home Edition” 下载, 免费开源版又分绿色免安装版(解压即用)和安装版(需要一步步安装)。MobaXterm 免费版(personal)和专业版(Professional)除了 sessions 数、SSH tunnels 数和其他一些定制化配置外限制外

树和图在关系型数据库中的表示及遍历

PIII型配线工具PIII型配线工具PIII型配线工具PIII型配线工具PIII型配线工具PIII型配线工具PIII型配线工具PIII型配线工具PIII型配线工具PIII型配线工具PIII型配线工具PIII型配线工具PIII型配线工具PIII型配线工具PIII型配线工具PIII型配线工具PIII型配线工具PIII型配线工具PIII型配线工具PIII型配线工具PIII型配线工具PIII型配线工具PIII型配线工具PIII型配线工具PIII型配线工具PIII型配线工具PIII型配线工具PIII型配线工具PIII型配线工具PIII型配线工具PIII型配线工具PIII型配线工具PIII型配线工具PIII型配线工具PIII型配线工具PIII型配线工具PIII型配线工具PIII型配线工具PIII型配线工具PIII型配线工具PIII型配线工具PIII型配线工具PIII型配线工具PIII型配线工具PIII型配线工具PIII型配线工具PIII型配线工具PIII型配线工具PIII型配线工具PIII型配线工具PIII型配线工具PIII型配线工具PIII型配线工具PIII型配线工具PIII型配线工具PIII型

外文参考型数据库外文参考型数据库