RedisCaptcha釋出了! 為何要開發RedisCaptcha? 之所以會寫RedisCaptcha主要是因為之前使用的simple-captcha是用SQL去處理,需要額外做migrate,加上SQL本身沒有自動expire的功能,搞的行為非常奇怪,還有本身很多先天性的限制(view),所以乾脆自己用ImageM
RedisCaptcha釋出了! 為何要開發RedisCaptcha? 之所以會寫RedisCaptcha主要是因為之前使用的simple-captcha是用SQL去處理,需要額外做migrate,加上SQL本身沒有自動expire的功能,搞的行為非常奇怪,還有本身很多先天性的限制(view),所以乾脆自己用ImageMagick搭配Redis寫了一個! 原理 簡單的說明一下原理,有興趣的朋友可以看一下source code,沒寫太多難懂的東西 :) 產生Captcha 1. 讀取頁面前產生一個session[:captcha_key],接著發送一個Request到 /captcha 。 2. 判斷session是否被lock,若無則繼續,反之Response nothing。 3. 產生一個Captcha,把string用session[:captcha_key]當key存到Redis,並且設定expired_time。同時,也設定locked_times和locked_time確保短時間內單一使用者不會大量產生資料。 4. 吐captcha給瀏覽器。 ps: 單一使用者同一時間只會有一張圖,沒有session無法產生圖片。 送出Captcha 檢查Redis,看送出的值和當初產生captcha的值是否相同。 安裝 請看README 參數設定 RedisCaptcha.setup do |config| # ==> Redis configuration config.redis_config = { :host => "127.0.0.1", :port … 繼續閱讀![[ Ruby on Rails ] 簡單好用的驗證碼Gem – Redis Captcha](/static/imghwm/default1.png)
原文地址:[ Ruby on Rails ] 簡單好用的驗證碼Gem – Redis Captcha, 感谢原作者分享。

ACID attributes include atomicity, consistency, isolation and durability, and are the cornerstone of database design. 1. Atomicity ensures that the transaction is either completely successful or completely failed. 2. Consistency ensures that the database remains consistent before and after a transaction. 3. Isolation ensures that transactions do not interfere with each other. 4. Persistence ensures that data is permanently saved after transaction submission.

MySQL is not only a database management system (DBMS) but also closely related to programming languages. 1) As a DBMS, MySQL is used to store, organize and retrieve data, and optimizing indexes can improve query performance. 2) Combining SQL with programming languages, embedded in Python, using ORM tools such as SQLAlchemy can simplify operations. 3) Performance optimization includes indexing, querying, caching, library and table division and transaction management.

MySQL uses SQL commands to manage data. 1. Basic commands include SELECT, INSERT, UPDATE and DELETE. 2. Advanced usage involves JOIN, subquery and aggregate functions. 3. Common errors include syntax, logic and performance issues. 4. Optimization tips include using indexes, avoiding SELECT* and using LIMIT.

MySQL is an efficient relational database management system suitable for storing and managing data. Its advantages include high-performance queries, flexible transaction processing and rich data types. In practical applications, MySQL is often used in e-commerce platforms, social networks and content management systems, but attention should be paid to performance optimization, data security and scalability.

The relationship between SQL and MySQL is the relationship between standard languages and specific implementations. 1.SQL is a standard language used to manage and operate relational databases, allowing data addition, deletion, modification and query. 2.MySQL is a specific database management system that uses SQL as its operating language and provides efficient data storage and management.

InnoDB uses redologs and undologs to ensure data consistency and reliability. 1.redologs record data page modification to ensure crash recovery and transaction persistence. 2.undologs records the original data value and supports transaction rollback and MVCC.

Key metrics for EXPLAIN commands include type, key, rows, and Extra. 1) The type reflects the access type of the query. The higher the value, the higher the efficiency, such as const is better than ALL. 2) The key displays the index used, and NULL indicates no index. 3) rows estimates the number of scanned rows, affecting query performance. 4) Extra provides additional information, such as Usingfilesort prompts that it needs to be optimized.

Usingtemporary indicates that the need to create temporary tables in MySQL queries, which are commonly found in ORDERBY using DISTINCT, GROUPBY, or non-indexed columns. You can avoid the occurrence of indexes and rewrite queries and improve query performance. Specifically, when Usingtemporary appears in EXPLAIN output, it means that MySQL needs to create temporary tables to handle queries. This usually occurs when: 1) deduplication or grouping when using DISTINCT or GROUPBY; 2) sort when ORDERBY contains non-index columns; 3) use complex subquery or join operations. Optimization methods include: 1) ORDERBY and GROUPB


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