制定计划是一件困难的事情(在软件开发中哪一件事情不难呢?),不只是新手,就是有好几年工作经验的人,对制定计划也颇感为难,往往随便给出个时间了事。我曾亲历过不少场面,大家对任务计划的态度很随意,对时间的估计都是随口而出的。大多数时候,管理者
制定计划是一件困难的事情(在软件开发中哪一件事情不难呢?),不只是新手,就是有好几年工作经验的人,对制定计划也颇感为难,往往随便给出个时间了事。我曾亲历过不少场面,大家对任务计划的态度很随意,对时间的估计都是随口而出的。大多数时候,管理者都会对勇士们夸几句,对谨慎者报以轻视。
实践证明这些计划都是纸上谈兵,有的严重超期,有的质量不过关,有的功能遗漏,很少按预期完成的。这也难怪,就是精心制定的计划都有偏差,何况是随便给出的呢。
这里总结一些个人经验,这是对简单任务而言的。所谓简单任务指的是能分到某个人头上的任务,不包括需要一个小组协同完成的任务(当然部分也适用于小组任务的)。
1. 对任务尽可能的细划。任务分得越细,考虑得越周到,遗漏的可能越少。同时我们对细小任务的估计更准确,我想这也是大家钟爱WBS的缘故吧。
2. 建立任务的风险列表。外在环境、技术难点、甚至近一段时间工作状态,都会影响任务的进度。风险很多,列出我们能处理的风险就差不多了,至于第三次世界大战之类的风险完全可以抛开。根据风险列表,在理想的计划上,加上一定的风险储备。
3. 征求做过类似任务的同事的意见。我们不是神仙,对从未有类似经验的任务,很难估计准确,征求做过类似任务的同事的意见是明智的做法,至少我们能从中了解一些潜在的风险。
4. 不断调整计划。计划不是不变的,早期的估计或多或少的有些偏差。随着任务的进展,一些风险的消除,以及这期间的经验积累,我们可以更准确的估计时间了。一般来说在任务预定时间过去30%左右时,重新评估一下任务计划是比较好的习惯。
5. 及时反馈任务的执行情况。特别是研究性任务,出现计划与实际较大差异的情况是很常见的。让你的上司清楚任务的执行情况,很有必要,一旦出现较大偏差,他可以对你提供帮助,或者对整体计划进行调整。切记不要在时间快完了,才报告出了大问题。
6. 计划要实事求是,不是估计时间越短越好。不要因为面子上的问题,把时间估计得过短。否则你的任务太重,不但会影响你的正常休息和工作情绪,最终无法完成时,面子丢了是小,影响整体计划是大。
7. 采用PSP中一些方法,评估自己的效率。记录在执行任务过程,你的时间分配情况,估计你在做某类事情时的效率,为以后类似的任务提供经验数据。

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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