Database update is a method Update,
The standard format: Update table name set field = value where condition
However, there are differences depending on the source of the data:
1. Input from outside
This is relatively simple
Example:
update tb set UserName="XXXXX" where UserID="aasdd"
2. Some internal variables, Functions, etc., such as time, etc.
Directly assign the function to the field
update tb set LastDate=date() where UserID="aasdd"
3. For some field variables 1, common ones such as: click rate, download times, etc.
This kind of directly assigns the field 1 Then assign it to itself
update tb set clickcount=clickcount+1 where ID=xxx
4. Assign a field of the same record to another field
update tb set Lastdate= regdate where XXX
5. Update a batch of records in one table to another table
table1
ID f1 f2
table2
ID f1 f2
First update f1 f2 in table2 to table1 (same ID)
update table1,table2 set table1.f1=table2.f1,table1.f2=table2.f2 where table1.ID=table2.ID
6. Some records in one table are updated to other records
Table: a
ID | month | E_ID | Price |
---|---|---|---|
1 | 1 | 1 | 2 |
2 | 1 | 2 | 4 |
2 | 1 | 5 | |
2 | 2 | 5 |
Obviously, we need to find the E_ID with the same ID in February and January and update the price to January
This can be handled with the above method, but since it is the same table, in order to distinguish the two months, the table should be renamed
update a,a as b set a.price=b.price where a.E_ID=b.E_ID and a.month=1 and b.month=2
update a,(select * from a where month=2)as b set a.price=b.price where a.E_ID=b.E_ID and a.month=1Recommended: "
SQL Video Tutorial"
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The SQL learning curve is steep, but it can be mastered through practice and understanding the core concepts. 1. Basic operations include SELECT, INSERT, UPDATE, DELETE. 2. Query execution is divided into three steps: analysis, optimization and execution. 3. Basic usage is such as querying employee information, and advanced usage is such as using JOIN connection table. 4. Common errors include not using alias and SQL injection, and parameterized query is required to prevent it. 5. Performance optimization is achieved by selecting necessary columns and maintaining code readability.

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Advanced query skills in SQL include subqueries, window functions, CTEs and complex JOINs, which can handle complex data analysis requirements. 1) Subquery is used to find the employees with the highest salary in each department. 2) Window functions and CTE are used to analyze employee salary growth trends. 3) Performance optimization strategies include index optimization, query rewriting and using partition tables.

MySQL is an open source relational database management system that provides standard SQL functions and extensions. 1) MySQL supports standard SQL operations such as CREATE, INSERT, UPDATE, DELETE, and extends the LIMIT clause. 2) It uses storage engines such as InnoDB and MyISAM, which are suitable for different scenarios. 3) Users can efficiently use MySQL through advanced functions such as creating tables, inserting data, and using stored procedures.

SQLmakesdatamanagementaccessibletoallbyprovidingasimpleyetpowerfultoolsetforqueryingandmanagingdatabases.1)Itworkswithrelationaldatabases,allowinguserstospecifywhattheywanttodowiththedata.2)SQL'sstrengthliesinfiltering,sorting,andjoiningdataacrosstab

SQL indexes can significantly improve query performance through clever design. 1. Select the appropriate index type, such as B-tree, hash or full text index. 2. Use composite index to optimize multi-field query. 3. Avoid over-index to reduce data maintenance overhead. 4. Maintain indexes regularly, including rebuilding and removing unnecessary indexes.

To delete a constraint in SQL, perform the following steps: Identify the constraint name to be deleted; use the ALTER TABLE statement: ALTER TABLE table name DROP CONSTRAINT constraint name; confirm deletion.


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