在CBO(基于代价的优化器模式)条件下,SQL语句的执行计划由统计信息来决定,若没有统计信息则会采取动态采样的方式决定执行计划!可以说统计信息关乎sql的执行计
在CBO(基于代价的优化器模式)条件下,SQL语句的执行计划由统计信息来决定,若没有统计信息则会采取动态采样的方式决定执行计划!可以说统计信息关乎sql的执行计划是否正确,属于sql执行的指导思想,oracle的初始化参数statistics_level控制收集统计信息的级别,有三个参数值:
BASIC :收集基本的统计信息
TYPICAL:收集大部分统计信息(数据库的默认设置)
ALL:收集全部统计信息
统计信息包含:
行统计信息(user_tables):行数(NUM_ROWS),块数(BLOCKS),行平均长度(AVG_ROW_LEN);
列统计信息(user_tab_columns):列中唯一值的数量(NUM_DISTINCT),NULL值的数量(NUM_NULLS),数据分布(HISTOGRAM);
索引统计(user_index):--叶块数量(LEAF_BLOCKS),等级(BLEVEL),聚簇因子(CLUSTERING_FACTOR);
统计信息的收集时间由时间窗口来调度!
一:10g关闭自动收集统计信息任务
二:11g关闭自动收集统计信息任务
查询
三:手动收集统计信息,采样10%,免备案空间,香港服务器,并行度为8,METHOD_OPT选项代表收集index列分布情况,并生成直方图
四:查看表或索引的统计信息
五:导出统计信息
六:删除统计信息
七:导入统计信息
八:异机导入,首先需要将HR_STAT_BAK表通过expdp/impdp方式导入到其他oracle服务器上
九:锁定与解锁统计信息
本文出自 “斩月” 博客,谢绝转载!
,香港空间
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.


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