about e-mail's replication.HELP HELP HELP

dukeli 2000-04-21 09:17:00

我在使用Sybase SQL Adaptive Anywhere实现基于mail的复制时，当输入完pop3
和smtp服务器地址和用户名以及密码后提示我line is too long,buffer overflow。
如何解决，当我丛263的mail换成sina的mail则没有问题，是否是mail服务器的错误造成。
使用收费邮箱能否避免这一问题？
恳请各位给予明示。多谢多谢多谢多谢多谢多谢多谢多谢多谢

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dukeli 2000-08-10

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我是否应将帖子转移到其他论坛?

dukeli 2000-07-20

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any one know?

ssrrll 2000-06-27

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Welcome to the book Cloud Native Development Patterns and Best Practices. This book will help you along your cloud-native journey. I have personally found delivering cloud-native solutions to be, by far, the most fun and satisfying. This is because cloud-native is more than just optimizing for the cloud. It is an entirely different way of thinking and reasoning about software systems. Cloud-native enables companies to rapidly and continuously deliver innovation with confidence. It empowers everyday teams to build massive-scale systems with much less effort than ever before. In this book, you will learn modern patterns such as Event Sourcing, CQRS, Data Lake, and Backend For Frontend, but with a cloud-native twist. You will leverage value-added cloud services to build reactive cloud-native systems that turn the database inside-out and ultimately turn the cloud into the database. Your team will build confidence in its ability to deliver because your cloud-native system is composed of bounded isolated components with proper bulkheads based on asynchronous, message-driven inter-component communication and data replication. You will learn how to build cloud-native systems that are responsive, resilient, elastic, and global.

Search is everywhere. Users always expect a search facility in mobile or web applications that allows them to find things in a fast and friendly manner. Apache Solr Essentials is a fast-paced guide to help you quickly learn the process of creating a scalable, efficient, and powerful search application. The book starts off by explaining the fundamentals of Solr and then goes on to cover various topics such as data indexing, ways of extending Solr, client APIs and their indexing and data searching capabilities, an introduction to the administration, monitoring, and tuning of a Solr instance, as well as the concepts of sharding and replication. Next, you'll learn about various Solr extensions and how to contribute to the Solr community. By the end of this book, you will be able to create excellent search applications with the help of Solr.

Re： MySQL 主从复制 Replication 详解（Linux 和 Windows 交叉环境）=================================================================# MySQL 主从复制的应用场景如果网站访问量非常大，对系统的稳定性非常高，那么可以使用MySQL功能的复制功能，复制是指将主要的数据库的 DDL 和 DML 操作通过二进制日志传到复制服务器（也叫从库）上，然后在从库上对这些日志重新执行（也叫重做），从而使得从库和主库的数据保持同步。 # MySQL 主从复制的作用如果主库出现问题，可以快速切换到从库提供服务（主备切换）可以在从库上执行查询操作，降低主库的访问压力（读写分离）可以在从库上执行备份，以避免备份期间影响主库的服务，备份期间对数据库的表加锁会影响数据库的增删改操作。在从数据库做备份，不影响主MySQL的增删改查（从库备份）。 # MySQL 主从复制工作原理 MASTER将改变记录到二进制日志事件（binary log events） SLAVE将MASTER的（binary log events）拷贝到它的中继日志(relay log) SLAVE重做中继日志中的事件，将改变反映它自己的数据。

A comprehensive guide to help you transform Big Data into valuable business insights with Splunk 6.2 About This Book Learn to search, configure, and deploy Splunk on one or more machines Start working with Splunk fast, with a tested set of practical examples and useful advice Step-by-step instructions and examples with comprehensive coverage for Splunk veterans and newbies alike Who This Book Is For If you are a data analyst with basic knowledge of Big Data analysis but no knowledge of Splunk, then this book will help you get started with Splunk. The book assumes that you have access to a copy of Splunk, ideally not in production, and many examples also assume you have administrator rights. What You Will Learn Enrich your data with lookups and commands Transform your data into useful and beautiful reports Build professional-looking, informative dashboards Get to know what Splunk data models and pivots are Learn about pivot editor, pivot elements, filters, Sparklines, and more Manage configurations from one to thousands of instances Extend Splunk with scripts and advanced configuration Create fields from your unstructured data Write searches that are fast and lean In Detail Splunk is a type of analysis and reporting software for analyzing machine-generated Big Data. It captures, indexes, and correlates real-time data in a searchable repository from which it can generate graphs, reports, alerts, dashboards, and visualizations. It aims to make machine data accessible across an organization for a variety of purposes. Implementing Splunk Second Edition is a learning guide that introduces you to all the latest features and improvements of Splunk 6.2. The book starts by introducing you to various concepts such as charting, reporting, clustering, and visualization. Every chapter is dedicated to enhancing your knowledge of a specific concept, including data models and pivots, speeding up your queries, backfilling, data replication, and so on. By the end of the book, you'll have a very good understanding of Splunk and be able to perform efficient data analysis. Table of Contents Chapter 1: The Splunk Interface Chapter 2: Understanding Search Chapter 3: Tables, Charts, and Fields Chapter 4: Data Models and Pivots Chapter 5: Simple XML Dashboards Chapter 6: Advanced Search Examples Chapter 7: Extending Search Chapter 8: Working with Apps Chapter 9: Building Advanced Dashboards Chapter 10: Summary Indexes and CSV Files Chapter 11: Configuring Splunk Chapter 12: Advanced Deployments Chapter 13: Extending Splunk

Key Features Master the powerful ReQL queries to manipulate your JSON data, Learn how to develop scalable, real-time web applications using RethinkDB and Node.js and deploy them for production, A detailed, step-by-step guide to help you master the concepts of RethinkDB programming with ease Book Description RethinkDB has a lot of cool things to be excited about: ReQL (its readable,highly-functional syntax), cluster management, primitives for 21st century applications, and change-feeds. This book starts with a brief overview of the RethinkDB architecture and data modeling, and coverage of the advanced ReQL queries to work with JSON documents. Then, you will quickly jump to implementing these concepts in real-world scenarios, by building real-time applications on polling, data synchronization, share market, and the geospatial domain using RethinkDB and Node.js. You will also see how to tweak RethinkDB's capabilities to ensure faster data processing by exploring the sharding and replication techniques in depth. Then, we will take you through the more advanced administration tasks as well as show you the various deployment techniques using PaaS, Docker, and Compose. By the time you have finished reading this book, you would have taken your knowledge of RethinkDB to the next level, and will be able to use the concepts in RethinkDB to develop efficient, real-time applications with ease. What you will learn Master the web-based management console for data-center configuration (sharding, replication, and more), database monitoring, and testing queries. Run queries using the ReQL language Perform Geospatial queries (such as finding all the documents with locations within 5km of a given point). Deal with time series data, especially across various times zones. Extending the functionality of RethinkDB and integrate it with third party libraries such as ElasticSearch to enhance our search Table of Contents Chapter 1. The RethinkDB Architecture and Data Model Chapter 2. RethinkDB Query Language Chapter 3. Data Exploration Using RethinkDB Chapter 4. Performance Tuning in RethinkDB Chapter 5. Administration and Troubleshooting Tasks in RethinkDB Chapter 6. RethinkDB Deployment Chapter 7. Extending RethinkDB Chapter 8. Full Stack Development with RethinkDB Chapter 9. Polyglot Persistence Using RethinkDB Chapter 10. Using RethinkDB and Horizon

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