ORACLE函数
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41.本星期的某一天(比如星期日)
S:不知道
O:SELECT Next_day(sysdate,7) vaule FROM DUAL;
42.字符串转时间
S:可以直接转或者select cast('2004-09-08'as datetime) value
O:SELECT To_date('2004-01-05 22:09:38','yyyy-mm-dd hh24-mi-ss') vaule FROM DUAL;
43.求两日期某一部分的差(比如秒)
S:select datediff(ss,getdate(),getdate()+12.3) value O:直接用两个日期相减(比如d1-d2=12.3)
SELECT (d1-d2)*24*60*60 vaule FROM DUAL;
44.根据差值求新的日期(比如分钟)
S:select dateadd(mi,8,getdate()) value
O:SELECT sysdate+8/60/24 vaule FROM DUAL;
45.求不同时区时间
S:不知道
O:SELECT New_time(sysdate,'ydt','gmt' ) vaule FROM DUAL;
-----时区参数,北京在东8区应该是Ydt-------
AST ADT大西洋标准时间
BST BDT白令海标准时间
CST CDT中部标准时间
EST EDT东部标准时间
GMT格林尼治标准时间
HST HDT阿拉斯加―夏威夷标准时间
MST MDT山区标准时间
NST纽芬兰标准时间
PST PDT太平洋标准时间
YST YDT YUKON标准时间
Oracle支持的字符函数和它们的Microsoft SQL Server等价函数:
函数Oracle Microsoft SQL Server
把字符转换为ASCII ASCII ASCII
字串连接CONCAT (expressiοn + expressiοn)
把ASCII转换为字符CHR CHAR
返回字符串中的开始字符(左起)INSTR CHARINDEX
把字符转换为小写LOWER LOWER
把字符转换为大写UPPER UPPER
填充字符串的左边LPAD N/A
清除开始的空白LTRIM LTRIM
清除尾部的空白RTRIM RTRIM
字符串中的起始模式(pattern)INSTR PATINDEX
多次重复字符串RPAD REPLICATE
字符串的语音表示SOUNDEX SOUNDEX
重复空格的字串RPAD SPACE
从数字数据转换为字符数据TO_CHAR STR
子串SUBSTR SUBSTRING
替换字符REPLACE STUFF
将字串中的每个词首字母大写INITCAP N/A
翻译字符串TRANSLATE N/A
字符串长度LENGTH DATELENGTH or LEN
列表中最大的字符串GREATEST N/A
列表中最小的字符串LEAST N/A
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MySQL's position in databases and programming is very important. It is an open source relational database management system that is widely used in various application scenarios. 1) MySQL provides efficient data storage, organization and retrieval functions, supporting Web, mobile and enterprise-level systems. 2) It uses a client-server architecture, supports multiple storage engines and index optimization. 3) Basic usages include creating tables and inserting data, and advanced usages involve multi-table JOINs and complex queries. 4) Frequently asked questions such as SQL syntax errors and performance issues can be debugged through the EXPLAIN command and slow query log. 5) Performance optimization methods include rational use of indexes, optimized query and use of caches. Best practices include using transactions and PreparedStatemen

MySQL is suitable for small and large enterprises. 1) Small businesses can use MySQL for basic data management, such as storing customer information. 2) Large enterprises can use MySQL to process massive data and complex business logic to optimize query performance and transaction processing.

InnoDB effectively prevents phantom reading through Next-KeyLocking mechanism. 1) Next-KeyLocking combines row lock and gap lock to lock records and their gaps to prevent new records from being inserted. 2) In practical applications, by optimizing query and adjusting isolation levels, lock competition can be reduced and concurrency performance can be improved.

MySQL is not a programming language, but its query language SQL has the characteristics of a programming language: 1. SQL supports conditional judgment, loops and variable operations; 2. Through stored procedures, triggers and functions, users can perform complex logical operations in the database.

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.


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