SQL Server里 函数 的两种用法(可以代替游标) 1. 因为update里不能用存储过程,然而要根据更新表的某些字段还要进行计算。我们常常采用游标的方法,这里用 函数 的方法实现。 函数 部分: 以下是引用片段: CREATEFUNCTION[DBO].[FUN_GETTIME](@TASKPHASEIDI
SQL Server里函数的两种用法(可以代替游标)
1. 因为update里不能用存储过程,然而要根据更新表的某些字段还要进行计算。我们常常采用游标的方法,这里用函数的方法实现。
函数部分:
以下是引用片段: CREATE FUNCTION [DBO].[FUN_GETTIME] (@TASKPHASEID INT) RETURNS FLOAT AS BEGIN DECLARE @TASKID INT, @HOUR FLOAT, @PERCENT FLOAT, @RETURN FLOAT IF @TASKPHASEID IS NULL BEGIN RETURN(0.0) END SELECT @TASKID=TASKID,@PERCENT=ISNULL(WORKPERCENT,0)/100 FROM TABLETASKPHASE WHERE ID=@TASKPHASEID SELECT @HOUR=ISNULL(TASKTIME,0) FROM TABLETASK WHERE ID=@TASKID SET @RETURN=@HOUR*@PERCENT RETURN (@RETURN) END |
调用函数的存储过程部分
以下是引用片段: CREATE PROCEDURE [DBO].[PROC_CALCCA] @ROID INT AS BEGIN DECLARE @CA FLOAT UPDATE TABLEFMECA SET Cvalue_M= ISNULL(MODERATE,0)*ISNULL(FMERATE,0)*ISNULL(B.BASFAILURERATE,0)*[DBO].[FUN_GETTIME](C.ID) FROM TABLEFMECA ,TABLERELATION B,TABLETASKPHASE C WHERE ROID=@ROID AND TASKPHASEID=C.ID AND B.ID=@ROID SELECT @CA=SUM(ISNULL(Cvalue_M,0)) FROM TABLEFMECA WHERE ROID=@ROID UPDATE TABLERELATION SET CRITICALITY=@CA WHERE ID=@ROID END GO |

MySQL is an open source relational database management system, mainly used to store and retrieve data quickly and reliably. Its working principle includes client requests, query resolution, execution of queries and return results. Examples of usage include creating tables, inserting and querying data, and advanced features such as JOIN operations. Common errors involve SQL syntax, data types, and permissions, and optimization suggestions include the use of indexes, optimized queries, and partitioning of tables.

MySQL is an open source relational database management system suitable for data storage, management, query and security. 1. It supports a variety of operating systems and is widely used in Web applications and other fields. 2. Through the client-server architecture and different storage engines, MySQL processes data efficiently. 3. Basic usage includes creating databases and tables, inserting, querying and updating data. 4. Advanced usage involves complex queries and stored procedures. 5. Common errors can be debugged through the EXPLAIN statement. 6. Performance optimization includes the rational use of indexes and optimized query statements.

MySQL is chosen for its performance, reliability, ease of use, and community support. 1.MySQL provides efficient data storage and retrieval functions, supporting multiple data types and advanced query operations. 2. Adopt client-server architecture and multiple storage engines to support transaction and query optimization. 3. Easy to use, supports a variety of operating systems and programming languages. 4. Have strong community support and provide rich resources and solutions.

InnoDB's lock mechanisms include shared locks, exclusive locks, intention locks, record locks, gap locks and next key locks. 1. Shared lock allows transactions to read data without preventing other transactions from reading. 2. Exclusive lock prevents other transactions from reading and modifying data. 3. Intention lock optimizes lock efficiency. 4. Record lock lock index record. 5. Gap lock locks index recording gap. 6. The next key lock is a combination of record lock and gap lock to ensure data consistency.

The main reasons for poor MySQL query performance include not using indexes, wrong execution plan selection by the query optimizer, unreasonable table design, excessive data volume and lock competition. 1. No index causes slow querying, and adding indexes can significantly improve performance. 2. Use the EXPLAIN command to analyze the query plan and find out the optimizer error. 3. Reconstructing the table structure and optimizing JOIN conditions can improve table design problems. 4. When the data volume is large, partitioning and table division strategies are adopted. 5. In a high concurrency environment, optimizing transactions and locking strategies can reduce lock competition.

In database optimization, indexing strategies should be selected according to query requirements: 1. When the query involves multiple columns and the order of conditions is fixed, use composite indexes; 2. When the query involves multiple columns but the order of conditions is not fixed, use multiple single-column indexes. Composite indexes are suitable for optimizing multi-column queries, while single-column indexes are suitable for single-column queries.

To optimize MySQL slow query, slowquerylog and performance_schema need to be used: 1. Enable slowquerylog and set thresholds to record slow query; 2. Use performance_schema to analyze query execution details, find out performance bottlenecks and optimize.

MySQL and SQL are essential skills for developers. 1.MySQL is an open source relational database management system, and SQL is the standard language used to manage and operate databases. 2.MySQL supports multiple storage engines through efficient data storage and retrieval functions, and SQL completes complex data operations through simple statements. 3. Examples of usage include basic queries and advanced queries, such as filtering and sorting by condition. 4. Common errors include syntax errors and performance issues, which can be optimized by checking SQL statements and using EXPLAIN commands. 5. Performance optimization techniques include using indexes, avoiding full table scanning, optimizing JOIN operations and improving code readability.


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