在mysql中,相关的复制的sql语句,会对所要搜取得结果进行规整,这里就有排序,分组,统计等相关整理过程,其中排序的算法的意义
在mysql中,相关的复制的sql语句,会对所要搜取得结果进行规整,这里就有排序,分组,统计等相关整理过程,其中排序的算法的意义最为重要,在mysql不同的版本中,特别是在5.1系列以后对排序算法的定义不断加强改善;
在排序算法中对新旧算法当中提到的阵列的宽度,以及函数搜取的范围,大小,影响的高度等都进行了修改,并设置相关的阀值,以指导相关的参数自动闭合;以下是在5.5系列中相关的sort文件截取;
#define UT_SORT_FUNCTION_BODY(SORT_FUN, ARR, AUX_ARR, LOW, HIGH, CMP_FUN)\
{\
ulint ut_sort_mid77;\
ulint ut_sort_i77;\
ulint ut_sort_low77;\
ulint ut_sort_high77;\
\
ut_ad((LOW) ut_ad(ARR);\
ut_ad(AUX_ARR);\
\
if ((LOW) == (HIGH) - 1) {\
return;\
} else if ((LOW) == (HIGH) - 2) {\
if (CMP_FUN((ARR)[LOW], (ARR)[(HIGH) - 1]) > 0) {\
(AUX_ARR)[LOW] = (ARR)[LOW];\
(ARR)[LOW] = (ARR)[(HIGH) - 1];\
(ARR)[(HIGH) - 1] = (AUX_ARR)[LOW];\
}\
return;\
}\
\
ut_sort_mid77 = ((LOW) + (HIGH)) / 2;\
\
SORT_FUN((ARR), (AUX_ARR), (LOW), ut_sort_mid77);\
SORT_FUN((ARR), (AUX_ARR), ut_sort_mid77, (HIGH));\
\
ut_sort_low77 = (LOW);\
ut_sort_high77 = ut_sort_mid77;\
\
for (ut_sort_i77 = (LOW); ut_sort_i77 \
if (ut_sort_low77 >= ut_sort_mid77) {\
(AUX_ARR)[ut_sort_i77] = (ARR)[ut_sort_high77];\
ut_sort_high77++;\
} else if (ut_sort_high77 >= (HIGH)) {\
(AUX_ARR)[ut_sort_i77] = (ARR)[ut_sort_low77];\
ut_sort_low77++;\
} else if (CMP_FUN((ARR)[ut_sort_low77],\
(ARR)[ut_sort_high77]) > 0) {\
(AUX_ARR)[ut_sort_i77] = (ARR)[ut_sort_high77];\
ut_sort_high77++;\
} else {\
(AUX_ARR)[ut_sort_i77] = (ARR)[ut_sort_low77];\
ut_sort_low77++;\
}\
}\
\
memcpy((void*) ((ARR) + (LOW)), (AUX_ARR) + (LOW),\
((HIGH) - (LOW)) * sizeof *(ARR));\
}\
参数max_length_for_sort_data;
在MySQL中,决定使用第一种老式的排序算法还是新的改进算法的依据是通过参数max_length_for_sort_data来决定的。当我们所有返回字段的最大长度小于这个参数值的时候,MySQL就会选择改进后的排序算法,反之,则选择老式的算法。所以,如果我们有充足的内存让MySQL存放需要返回的非排序字段的时候,可以加大这个参数的值来让MySQL选择使用改进版的排序算法。
参数sort_buffer_size;
增大sort_buffer_size并不是为了让MySQL可以选择改进版的排序算法,,而是为了让MySQL可以尽量减少在排序过程中对需要排序的数据进行分段,因为这样会造成MySQL不得不使用临时表来进行交换排序。
还有就是对相关的字段进行规避;选择返回需要的即可;

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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