MySQL optimization

Yuehai Street Fahrenheit 2022-06-24 05:42:51 阅读数:825

mysqloptimization

If you can build a picture in your mind MySQL The architecture of how the components work together , Helps to understand MySQL The server . The following figure shows MySQL The logical architecture diagram .

MySQL The logic architecture is divided into three layers , The top layer is the client layer , Is not MySQL Unique , Such as : Connection processing 、 Authorized certification 、 Security and other functions are handled in this layer .

MySQL Most of the core services are in the middle tier , Including query parsing 、 analysis 、 Optimize 、 cache 、 Built in functions ( such as : Time 、 mathematics 、 Functions like encryption ). All cross storage engine functions are also implemented at this level : stored procedure 、 trigger 、 View etc. .

At the bottom is the storage engine , He is responsible for MySQL Data storage and extraction in . and Linux The file system under is similar to , Each storage engine has its advantages and disadvantages . The middle service layer passes through API Communicating with the storage engine , these API The interface masks the differences between different storage engines .

MySQL Query process of

mysql Query process of

Next, let's talk about optimization methods

1.Scheme Design and data type optimization

Choose data type as long as you follow the principle of small and simple , Smaller data types are usually faster , Less disk usage 、 Memory , What is needed in handling CPU There are fewer cycles . The simpler the data type, the less CPU cycle , such as , Integer is cheaper than character operation , Thus, integers are used to store ip Address , Use DATETIME To store time , Instead of using strings .

2. Create high-performance indexes

The index is to improve MySQL An important way to query performance , But too many indexes can lead to high disk utilization and high memory consumption , This affects the overall performance of the application . Try to avoid thinking about adding indexes afterwards , Because you may need to monitor a lot of SQL To locate the problem , And the time of adding index must be much longer than the time of adding index initially , It can be seen that the addition of index is also very technical .

3. Specific types of query optimization COUNT() Inquire about

COUNT() Probably the most misunderstood function , It has two different functions , One is to count the number of column values , The second is to count the number of lines . When counting column values , The column value is required to be non empty , It doesn't count NULL. If you confirm that the expression in parentheses cannot be empty , It's actually counting lines . The simplest is when using COUNT(*) when , It's not expanded into all the columns as we think , actually , It ignores all columns and counts the number of rows directly .

4. Optimize associated queries

In the big data scenario , Tables are associated with each other through a redundant field , It's better than using it directly JOIN Better performance . If you really need to use associated queries , Here's the thing to watch out for : Make sure ON and USING There is an index on the column in the sentence . When you create an index, you need to consider the order of associations . Watch A And table B Use column c When connected , If the order of optimizer association is A、B, Then there's no need to be A Create an index on the corresponding column of the table . Indexes that are not used can bring extra burden , Generally speaking , Unless there is any other reason , Just create the index on the corresponding column of the second table in the associated order ( The specific reasons are analyzed below ). Make sure that any GROUP BY and ORDER BY The expression in involves only columns in a table , such MySQL It's possible to use indexes to optimize .

5. Optimize LIMIT Pagination

When paging is needed , You usually use LIMIT Plus the offset to achieve , At the same time, add the right ORDER BY Words and expressions . If there is a corresponding index , Usually the efficiency will be good , otherwise ,MySQL A lot of file sorting operations need to be done .

6. Optimize UNION

MySQL Handle UNION The strategy is to create a temporary table first , Then insert each query result into the temporary table , Finally, we will do the inquiry . So many optimization strategies are UNION There's no way to be very good in the query . It is often necessary to manually set WHERE、LIMIT、ORDER BY Wait for words “ Push down ” Go to each subquery , So that the optimizer can make full use of these conditions to optimize first .

Unless you really need the server to be de duplicated , Otherwise, we must use UNION ALL, without ALL keyword ,MySQL We will add a temporary table DISTINCT Options , This will cause the data of the whole temporary table to be uniqueness checked , The cost of doing so is very high . Of course, even if you use ALL keyword ,MySQL Always put the results in a temporary table , Then read out , And back to the client . Although many times there is no need , For example, sometimes you can directly return the results of each subquery to the client .

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