从一台32核CPU,30G内存,800M硬盘的机器上。迁往到双节点RAC机器上,该机器每个节点8核CPU 是双核*4.硬盘和内存没什么变。 听起来是迁往一台高性能机器上,很令人兴奋不已,双节点哦! 实际上效果并非如此,其中一个节点被另外个数据库所占用,也就是那台节
从一台32核CPU,30G内存,800M硬盘的机器上。迁往到双节点RAC机器上,该机器每个节点8核CPU 是双核*4.硬盘和内存没什么变。
听起来是迁往一台高性能机器上,很令人兴奋不已,双节点哦!
实际上效果并非如此,其中一个节点被另外个数据库所占用,也就是那台节点基本上不能全力去工作,相当于单节点。反而承担多节点管理工作!
UNDO和TEMP 采用两个来切换,而且每个比原来的小上10G。原来都32GUNDO和32GTEMP。
其中暴露出一些存储过程的SQL性能问题,比如占用太多的UNDO,TEMP和DB FILE SEQUENCE READ。
知道LEFT JOIN , MEGR INSERT 比 DELTET 和INSERT INTO 慢些,可数据很可靠!
老大原本想花三天迁移完的,实际上用了9天的时间。主要是发现存储过程中语句业务逻辑缺失些数据,没有完全从其他库上获得完整。
找这个问题所在,用老办法全量从源库 insert into xxxx@tooldb,或者从业务库再次全托。
搞这事真累! 很多事觉得做的很白费,瞎折腾。民营企业都这德性,中层或者高层下达工作指令时候都是交给你任务,马上就问什么时候完成。
你回答一个时间,他不满意,就说这个时间太长了,就说出他的希望的时间,基本上是在你的时间上缩短50%-80%。你跟他争一点,他就说你态度不好!他说这个工作很紧只有几个星期时间。
其实他们想得比较简单,这工作就这么几下,分分钟的事情;或者以他的技术能力速度来考虑;或者他想不到干这事中会遇到技术和业务问题;或者他没想到你除了干这事,还要干其他的事,被其他琐事的事干扰!
民营企业 强调的是执行力,沟通能力,主动能力,人的主观能动性,乐观向上积极奉献。
反过来想,民企企业创业时一无所有,或者少有的条件,只有靠老板等老大们 发挥自己主观能动性。不过这作风会一直延续下去,并且影响到招人和用人倾向!
想想自己 从中能获得些经验吧!也算是心理安慰,老板也没少给钱,虽然做出来的东西还是被人弃之一边,或者被其他同事重构掉!

InnoDBBufferPool reduces disk I/O by caching data and indexing pages, improving database performance. Its working principle includes: 1. Data reading: Read data from BufferPool; 2. Data writing: After modifying the data, write to BufferPool and refresh it to disk regularly; 3. Cache management: Use the LRU algorithm to manage cache pages; 4. Reading mechanism: Load adjacent data pages in advance. By sizing the BufferPool and using multiple instances, database performance can be optimized.

Compared with other programming languages, MySQL is mainly used to store and manage data, while other languages such as Python, Java, and C are used for logical processing and application development. MySQL is known for its high performance, scalability and cross-platform support, suitable for data management needs, while other languages have advantages in their respective fields such as data analytics, enterprise applications, and system programming.

MySQL is worth learning because it is a powerful open source database management system suitable for data storage, management and analysis. 1) MySQL is a relational database that uses SQL to operate data and is suitable for structured data management. 2) The SQL language is the key to interacting with MySQL and supports CRUD operations. 3) The working principle of MySQL includes client/server architecture, storage engine and query optimizer. 4) Basic usage includes creating databases and tables, and advanced usage involves joining tables using JOIN. 5) Common errors include syntax errors and permission issues, and debugging skills include checking syntax and using EXPLAIN commands. 6) Performance optimization involves the use of indexes, optimization of SQL statements and regular maintenance of databases.

MySQL is suitable for beginners to learn database skills. 1. Install MySQL server and client tools. 2. Understand basic SQL queries, such as SELECT. 3. Master data operations: create tables, insert, update, and delete data. 4. Learn advanced skills: subquery and window functions. 5. Debugging and optimization: Check syntax, use indexes, avoid SELECT*, and use LIMIT.

MySQL efficiently manages structured data through table structure and SQL query, and implements inter-table relationships through foreign keys. 1. Define the data format and type when creating a table. 2. Use foreign keys to establish relationships between tables. 3. Improve performance through indexing and query optimization. 4. Regularly backup and monitor databases to ensure data security and performance optimization.

MySQL is an open source relational database management system that is widely used in Web development. Its key features include: 1. Supports multiple storage engines, such as InnoDB and MyISAM, suitable for different scenarios; 2. Provides master-slave replication functions to facilitate load balancing and data backup; 3. Improve query efficiency through query optimization and index use.

SQL is used to interact with MySQL database to realize data addition, deletion, modification, inspection and database design. 1) SQL performs data operations through SELECT, INSERT, UPDATE, DELETE statements; 2) Use CREATE, ALTER, DROP statements for database design and management; 3) Complex queries and data analysis are implemented through SQL to improve business decision-making efficiency.

The basic operations of MySQL include creating databases, tables, and using SQL to perform CRUD operations on data. 1. Create a database: CREATEDATABASEmy_first_db; 2. Create a table: CREATETABLEbooks(idINTAUTO_INCREMENTPRIMARYKEY, titleVARCHAR(100)NOTNULL, authorVARCHAR(100)NOTNULL, published_yearINT); 3. Insert data: INSERTINTObooks(title, author, published_year)VA


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