MySQL中排序在SQL优化中的部分解析
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;

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics

Full table scanning may be faster in MySQL than using indexes. Specific cases include: 1) the data volume is small; 2) when the query returns a large amount of data; 3) when the index column is not highly selective; 4) when the complex query. By analyzing query plans, optimizing indexes, avoiding over-index and regularly maintaining tables, you can make the best choices in practical applications.

Yes, MySQL can be installed on Windows 7, and although Microsoft has stopped supporting Windows 7, MySQL is still compatible with it. However, the following points should be noted during the installation process: Download the MySQL installer for Windows. Select the appropriate version of MySQL (community or enterprise). Select the appropriate installation directory and character set during the installation process. Set the root user password and keep it properly. Connect to the database for testing. Note the compatibility and security issues on Windows 7, and it is recommended to upgrade to a supported operating system.

InnoDB's full-text search capabilities are very powerful, which can significantly improve database query efficiency and ability to process large amounts of text data. 1) InnoDB implements full-text search through inverted indexing, supporting basic and advanced search queries. 2) Use MATCH and AGAINST keywords to search, support Boolean mode and phrase search. 3) Optimization methods include using word segmentation technology, periodic rebuilding of indexes and adjusting cache size to improve performance and accuracy.

The difference between clustered index and non-clustered index is: 1. Clustered index stores data rows in the index structure, which is suitable for querying by primary key and range. 2. The non-clustered index stores index key values and pointers to data rows, and is suitable for non-primary key column queries.

MySQL is an open source relational database management system. 1) Create database and tables: Use the CREATEDATABASE and CREATETABLE commands. 2) Basic operations: INSERT, UPDATE, DELETE and SELECT. 3) Advanced operations: JOIN, subquery and transaction processing. 4) Debugging skills: Check syntax, data type and permissions. 5) Optimization suggestions: Use indexes, avoid SELECT* and use transactions.

In MySQL database, the relationship between the user and the database is defined by permissions and tables. The user has a username and password to access the database. Permissions are granted through the GRANT command, while the table is created by the CREATE TABLE command. To establish a relationship between a user and a database, you need to create a database, create a user, and then grant permissions.

MySQL supports four index types: B-Tree, Hash, Full-text, and Spatial. 1.B-Tree index is suitable for equal value search, range query and sorting. 2. Hash index is suitable for equal value searches, but does not support range query and sorting. 3. Full-text index is used for full-text search and is suitable for processing large amounts of text data. 4. Spatial index is used for geospatial data query and is suitable for GIS applications.

MySQL and MariaDB can coexist, but need to be configured with caution. The key is to allocate different port numbers and data directories to each database, and adjust parameters such as memory allocation and cache size. Connection pooling, application configuration, and version differences also need to be considered and need to be carefully tested and planned to avoid pitfalls. Running two databases simultaneously can cause performance problems in situations where resources are limited.
