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在向表中插入数据的时候,经常遇到这样的情况:1. 首先判断数据是否存在; 2. 如果不存在,则插入;3.如果存在,则更新。
在 SQL Server 中可以这样处理:
if not exists (select 1 from t where id = 1)
insert into t(id, update_time) values(1, getdate())
else
update t set update_time = getdate() where id = 1
那么 MySQL 中如何实现这样的逻辑呢?别着急!MySQL 中有更简单的方法: replace into
replace into t(id, update_time) values(1, now());
或
replace into t(id, update_time) select 1, now();
replace into 跟 insert 功能类似,不同点在于:replace into 首先尝试插入数据到表中, 1. 如果发现表中已经有此行数据(根据主键或者唯一索引判断)则先删除此行数据,然后插入新的数据。 2. 否则,直接插入新数据。
要注意的是:插入数据的表必须有主键或者是唯一索引!否则的话,replace into 会直接插入数据,这将导致表中出现重复的数据。
MySQL replace into 有三种形式:
1. replace into tbl_name(col_name, ...) values(...)
2. replace into tbl_name(col_name, ...) select ...
3. replace into tbl_name set col_name=value, ...
前两种形式用的多些。其中 “into” 关键字可以省略,不过最好加上 “into”,这样意思更加直观。另外,对于那些没有给予值的列,MySQL 将自动为这些列赋上默认值。
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InnoDB uses redologs and undologs to ensure data consistency and reliability. 1.redologs record data page modification to ensure crash recovery and transaction persistence. 2.undologs records the original data value and supports transaction rollback and MVCC.

Key metrics for EXPLAIN commands include type, key, rows, and Extra. 1) The type reflects the access type of the query. The higher the value, the higher the efficiency, such as const is better than ALL. 2) The key displays the index used, and NULL indicates no index. 3) rows estimates the number of scanned rows, affecting query performance. 4) Extra provides additional information, such as Usingfilesort prompts that it needs to be optimized.

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MySQL index cardinality has a significant impact on query performance: 1. High cardinality index can more effectively narrow the data range and improve query efficiency; 2. Low cardinality index may lead to full table scanning and reduce query performance; 3. In joint index, high cardinality sequences should be placed in front to optimize query.

The MySQL learning path includes basic knowledge, core concepts, usage examples, and optimization techniques. 1) Understand basic concepts such as tables, rows, columns, and SQL queries. 2) Learn the definition, working principles and advantages of MySQL. 3) Master basic CRUD operations and advanced usage, such as indexes and stored procedures. 4) Familiar with common error debugging and performance optimization suggestions, such as rational use of indexes and optimization queries. Through these steps, you will have a full grasp of the use and optimization of MySQL.

MySQL's real-world applications include basic database design and complex query optimization. 1) Basic usage: used to store and manage user data, such as inserting, querying, updating and deleting user information. 2) Advanced usage: Handle complex business logic, such as order and inventory management of e-commerce platforms. 3) Performance optimization: Improve performance by rationally using indexes, partition tables and query caches.


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