PostgreSQL中列的statistics属性 这个属性大概来说是用来控制分析时对列的分析的详细程度,会影响到执行计划的选择,具体的描述可以看文档。pgsql默认所有列的statistics都是100,这是个相当保守的数字,即对列中不同值的分析是很粗糙的。在列值分布不均匀的
PostgreSQL中列的statistics属性
这个属性大概来说是用来控制分析时对列的分析的详细程度,会影响到执行计划的选择,具体的描述可以看文档。pgsql默认所有列的statistics都是100,这是个相当保守的数字,即对列中不同值的分析是很粗糙的。在列值分布不均匀的情况下,经常会看到执行计划用很粗略的平均值估算而选择了非最优的路径。 www.2cto.com
通过调高这个参数,很多执行计划不正确的问题可以得到解决。特别是一些经常用到的查询列,提高默认参数很有必要。我感觉,提高到1000很有必要。按照官方文档,提高这个参数唯一的坏处是analyze时间会长一点。从实际情况来看,从100提高到1000基本感觉不到analyze时间有多少差别。
怎样才能知道某一列的statistics需要提高呢?最方便的就是用explain analyze了。如果发现执行计划里某个步骤执行结果的估算值(row)和实际获得值(actual)相差很悬殊,那么就很有必要提高这个参数了。怎么提高呢?
alter table [table name] alter column [column name] set statistics=1000;
提高完了记得重新analyze一下表。
还有一个需要注意的地方,有的地方是索引里的列值估算不准确(具体看执行计划),这时候需要调整索引里的列的statistics,方法和调整表一样,把索引当成表:
alter table [index name] alter column [column name] set statistics=1000;

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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