对 MongoDB 2.2 和 2.4 的有限修复 2.2版本实现了一种有限的修复。下面的查询语句将如您所愿的工作,并在数毫秒内返回结果: db.posts.find({ userId: { $in: [12, 24, 56, …] } }).sort({ date: -1 }).limit(-100) 那么你可能要想了这已经完美无缺……不幸
对 MongoDB 2.2 和 2.4 的有限修复
2.2版本实现了一种有限的修复。下面的查询语句将如您所愿的工作,并在数毫秒内返回结果:
db.posts.find({ userId: { $in: [12, 24, 56, …] } }).sort({ date: -1 }).limit(-100)
那么你可能要想了这已经完美无缺……不幸的是有一个很大的局限,就是任何额外的谓词断言都会关闭优化机制。任何额外的谓词断言必须是某个字段上的等式(或者 “$in“),这个字段是索引的一部分,位于索引字段(本例中是“date“ )的左边。如果你想看到特定属性(例如“private: False“)的posts,那就必须很小心的构建索引:
db.posts.find({ userId: { $in: [12, 24, 56, …], private: False } }).sort({ date: -1 }).limit(-100)
它必须打开“{ userId: 1, private: 1, date: 1 }“之上的索引。某种不同类型的谓词断言,或者相反的这个字段没有被索引的正确部分所覆盖,那么这将使你回到那种很糟很慢的情形。
这个问题将会被2.6版本的索引内部API重构所解决,这应该正是你期待的!

InnoDBBufferPool reduces disk I/O by caching data and indexing pages, improving database performance. Its working principle includes: 1. Data reading: Read data from BufferPool; 2. Data writing: After modifying the data, write to BufferPool and refresh it to disk regularly; 3. Cache management: Use the LRU algorithm to manage cache pages; 4. Reading mechanism: Load adjacent data pages in advance. By sizing the BufferPool and using multiple instances, database performance can be optimized.

Compared with other programming languages, MySQL is mainly used to store and manage data, while other languages such as Python, Java, and C are used for logical processing and application development. MySQL is known for its high performance, scalability and cross-platform support, suitable for data management needs, while other languages have advantages in their respective fields such as data analytics, enterprise applications, and system programming.

MySQL is worth learning because it is a powerful open source database management system suitable for data storage, management and analysis. 1) MySQL is a relational database that uses SQL to operate data and is suitable for structured data management. 2) The SQL language is the key to interacting with MySQL and supports CRUD operations. 3) The working principle of MySQL includes client/server architecture, storage engine and query optimizer. 4) Basic usage includes creating databases and tables, and advanced usage involves joining tables using JOIN. 5) Common errors include syntax errors and permission issues, and debugging skills include checking syntax and using EXPLAIN commands. 6) Performance optimization involves the use of indexes, optimization of SQL statements and regular maintenance of databases.

MySQL is suitable for beginners to learn database skills. 1. Install MySQL server and client tools. 2. Understand basic SQL queries, such as SELECT. 3. Master data operations: create tables, insert, update, and delete data. 4. Learn advanced skills: subquery and window functions. 5. Debugging and optimization: Check syntax, use indexes, avoid SELECT*, and use LIMIT.

MySQL efficiently manages structured data through table structure and SQL query, and implements inter-table relationships through foreign keys. 1. Define the data format and type when creating a table. 2. Use foreign keys to establish relationships between tables. 3. Improve performance through indexing and query optimization. 4. Regularly backup and monitor databases to ensure data security and performance optimization.

MySQL is an open source relational database management system that is widely used in Web development. Its key features include: 1. Supports multiple storage engines, such as InnoDB and MyISAM, suitable for different scenarios; 2. Provides master-slave replication functions to facilitate load balancing and data backup; 3. Improve query efficiency through query optimization and index use.

SQL is used to interact with MySQL database to realize data addition, deletion, modification, inspection and database design. 1) SQL performs data operations through SELECT, INSERT, UPDATE, DELETE statements; 2) Use CREATE, ALTER, DROP statements for database design and management; 3) Complex queries and data analysis are implemented through SQL to improve business decision-making efficiency.

The basic operations of MySQL include creating databases, tables, and using SQL to perform CRUD operations on data. 1. Create a database: CREATEDATABASEmy_first_db; 2. Create a table: CREATETABLEbooks(idINTAUTO_INCREMENTPRIMARYKEY, titleVARCHAR(100)NOTNULL, authorVARCHAR(100)NOTNULL, published_yearINT); 3. Insert data: INSERTINTObooks(title, author, published_year)VA


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