今天午餐时候,我与 Rob Conery研究将This Developer's Life播客网站移动到 Git中。我们录制了整个升级和迁移经历,它很快会作为一个视频上传到TekPub上。 植入:在TekPub.tv上签出 我的 TekPub 秀源代码 。 在部署时出现了一个问题。我们将我们的数据库从SQ
今天午餐时候,我与 Rob Conery研究将This Developer's Life播客网站移动到 Git中。我们录制了整个升级和迁移经历,它很快会作为一个视频上传到TekPub上。
植入:在TekPub.tv上签出。
在部署时出现了一个问题。我们将我们的从SQL Compact移动到了 Azure 中的 SQL Server 实例。但是,我们如何让我们的连接字符串是秘密的呢?我们将我们的源代码推送到 GitHub上,但不想公开我们的连接字符串和密码。
有时,你会制作一个 Web.Release.Config 文件,然后把它们放在那儿。有时你会制作一个 connectionStrings.config ,然后从 web.config 中引用它,但永远不会部署它。
然而,Azure 允许您将这些配置设置安全地保存在 Azure 中,所以它们永远不会以代码形式显示。请注意下面的屏幕截图。有一个名为"TDL."的连接字符串,它与我们在代码中所引用的名称和web.config 中连接字符串的名称是相匹配的。
我们的 ASP.NET Web Pages数据库调用是针对 WebMatrix.Data 中的 Database.Open。这是相当简单的。
var db = Database.Open("TDL");
这用于引用一个 TDL.sdf SQL Server Compact Edition (SQL CE) 文件。然后我们将它移到一个连接字符串中。
<connectionstrings><br> <add name="TDL" connectionstring="blah blah" providername="yada yada"></add><br></connectionstrings>
如果您的 Azure 配置(请看上面的截图)拥有一个具有相同名称的值,当部署您的应用程序时,来自Azure 的安全值将被替换。
陷阱警告:我花了二十分钟试图找出为什么我的值没有得到更新。我的应用程序在操作时,好像根本就没有任何连接字符串值。我获得信息"找不到连接字符串"TDL""。多次气得咬牙切齿之后,我发现(多亏David Ebbo的帮助) 我把
所有的一切,都运作得很好。
它让我们把代码放在 GitHub上,设置直接从 GitHub中自动部署到 Azure,同时仍让我们的 SQL 连接字符串 (和任何其他的产品设置) 是私密的。

MySQL is an open source relational database management system, mainly used to store and retrieve data quickly and reliably. Its working principle includes client requests, query resolution, execution of queries and return results. Examples of usage include creating tables, inserting and querying data, and advanced features such as JOIN operations. Common errors involve SQL syntax, data types, and permissions, and optimization suggestions include the use of indexes, optimized queries, and partitioning of tables.

MySQL is an open source relational database management system suitable for data storage, management, query and security. 1. It supports a variety of operating systems and is widely used in Web applications and other fields. 2. Through the client-server architecture and different storage engines, MySQL processes data efficiently. 3. Basic usage includes creating databases and tables, inserting, querying and updating data. 4. Advanced usage involves complex queries and stored procedures. 5. Common errors can be debugged through the EXPLAIN statement. 6. Performance optimization includes the rational use of indexes and optimized query statements.

MySQL is chosen for its performance, reliability, ease of use, and community support. 1.MySQL provides efficient data storage and retrieval functions, supporting multiple data types and advanced query operations. 2. Adopt client-server architecture and multiple storage engines to support transaction and query optimization. 3. Easy to use, supports a variety of operating systems and programming languages. 4. Have strong community support and provide rich resources and solutions.

InnoDB's lock mechanisms include shared locks, exclusive locks, intention locks, record locks, gap locks and next key locks. 1. Shared lock allows transactions to read data without preventing other transactions from reading. 2. Exclusive lock prevents other transactions from reading and modifying data. 3. Intention lock optimizes lock efficiency. 4. Record lock lock index record. 5. Gap lock locks index recording gap. 6. The next key lock is a combination of record lock and gap lock to ensure data consistency.

The main reasons for poor MySQL query performance include not using indexes, wrong execution plan selection by the query optimizer, unreasonable table design, excessive data volume and lock competition. 1. No index causes slow querying, and adding indexes can significantly improve performance. 2. Use the EXPLAIN command to analyze the query plan and find out the optimizer error. 3. Reconstructing the table structure and optimizing JOIN conditions can improve table design problems. 4. When the data volume is large, partitioning and table division strategies are adopted. 5. In a high concurrency environment, optimizing transactions and locking strategies can reduce lock competition.

In database optimization, indexing strategies should be selected according to query requirements: 1. When the query involves multiple columns and the order of conditions is fixed, use composite indexes; 2. When the query involves multiple columns but the order of conditions is not fixed, use multiple single-column indexes. Composite indexes are suitable for optimizing multi-column queries, while single-column indexes are suitable for single-column queries.

To optimize MySQL slow query, slowquerylog and performance_schema need to be used: 1. Enable slowquerylog and set thresholds to record slow query; 2. Use performance_schema to analyze query execution details, find out performance bottlenecks and optimize.

MySQL and SQL are essential skills for developers. 1.MySQL is an open source relational database management system, and SQL is the standard language used to manage and operate databases. 2.MySQL supports multiple storage engines through efficient data storage and retrieval functions, and SQL completes complex data operations through simple statements. 3. Examples of usage include basic queries and advanced queries, such as filtering and sorting by condition. 4. Common errors include syntax errors and performance issues, which can be optimized by checking SQL statements and using EXPLAIN commands. 5. Performance optimization techniques include using indexes, avoiding full table scanning, optimizing JOIN operations and improving code readability.


Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

Atom editor mac version download
The most popular open source editor

MantisBT
Mantis is an easy-to-deploy web-based defect tracking tool designed to aid in product defect tracking. It requires PHP, MySQL and a web server. Check out our demo and hosting services.

ZendStudio 13.5.1 Mac
Powerful PHP integrated development environment

EditPlus Chinese cracked version
Small size, syntax highlighting, does not support code prompt function

SecLists
SecLists is the ultimate security tester's companion. It is a collection of various types of lists that are frequently used during security assessments, all in one place. SecLists helps make security testing more efficient and productive by conveniently providing all the lists a security tester might need. List types include usernames, passwords, URLs, fuzzing payloads, sensitive data patterns, web shells, and more. The tester can simply pull this repository onto a new test machine and he will have access to every type of list he needs.