table look-up
简明释义
一览表
英英释义
A method of retrieving data from a pre-defined set of values organized in a table format, typically used in computing and database management. | 一种从预定义的以表格格式组织的值集合中检索数据的方法,通常用于计算机和数据库管理。 |
例句
1.To retrieve the price of an item, we performed a table look-up 表查找 in the inventory database.
为了获取商品的价格,我们在库存数据库中进行了表查找。
2.The software uses a table look-up 表查找 method to quickly access user information.
该软件使用表查找方法快速访问用户信息。
3.The game engine utilizes a table look-up 表查找 to determine the effects of each spell.
游戏引擎利用表查找来确定每个法术的效果。
4.In our algorithm, a table look-up 表查找 is essential for optimizing performance.
在我们的算法中,表查找对优化性能至关重要。
5.When processing data, a table look-up 表查找 can significantly reduce computation time.
在处理数据时,表查找可以显著减少计算时间。
作文
In the realm of computer science and programming, efficiency is paramount. One method that has gained significant attention for its ability to improve performance in data retrieval is the concept of table look-up. A table look-up refers to the process of using a predefined table or array to quickly find values or data associated with specific keys. This technique is widely utilized in various applications, including databases, algorithms, and even gaming, where fast access to information can greatly enhance user experience and system performance.To illustrate the importance of table look-up, consider a scenario in a database management system. When a user queries the database for specific information, the system can either perform a linear search through all available records or utilize a table look-up strategy. The latter allows the system to reference a pre-built table that maps keys to their corresponding values. This significantly reduces the time complexity from O(n) to O(1) in best-case scenarios, making data retrieval much faster.Moreover, table look-up is not limited to databases alone. In programming, especially in languages like Python or Java, developers often use dictionaries or hash maps, which are essentially implementations of table look-up techniques. For example, when creating a program that needs to count the frequency of words in a text, a programmer might use a hash map where each word is a key and its count is the value. This allows for rapid updates and queries, demonstrating the efficiency of table look-up in managing data.Another area where table look-up proves beneficial is in gaming development. Many games require real-time calculations and quick access to data, such as player statistics or item attributes. By implementing table look-up methods, developers can ensure that the game runs smoothly without lag, providing players with an immersive experience. For instance, if a player wants to know the damage output of a weapon, the game can instantly retrieve this information from a pre-defined table rather than recalculating it every time.Despite its advantages, there are some considerations to keep in mind when using table look-up. One potential drawback is the memory overhead associated with maintaining large tables. If the dataset is vast, the amount of memory required to store the table can become significant. Therefore, developers must strike a balance between speed and memory usage when deciding whether to implement a table look-up strategy.In conclusion, the concept of table look-up is an essential tool in the toolkit of programmers and data scientists alike. Its ability to facilitate rapid data retrieval makes it a preferred choice in various applications, from databases to gaming. As technology continues to evolve, the importance of efficient data handling will only grow, solidifying the role of table look-up as a fundamental technique in the pursuit of optimized performance. Understanding and mastering this concept can lead to significant improvements in both software development and data management practices.
在计算机科学和编程领域,效率至关重要。一种因其能够提高数据检索性能而受到广泛关注的方法是表查找的概念。表查找指的是使用预定义的表或数组快速查找与特定键相关联的值或数据的过程。这种技术广泛应用于各种应用程序中,包括数据库、算法,甚至游戏,在这些应用中,快速访问信息可以极大地增强用户体验和系统性能。为了说明表查找的重要性,考虑一个数据库管理系统中的场景。当用户查询数据库以获取特定信息时,系统可以选择在所有可用记录中执行线性搜索,或者利用表查找策略。后者允许系统引用一个预先构建的表,该表将键映射到其对应的值。这显著减少了时间复杂度,从O(n)降低到O(1),在最佳情况下,使数据检索速度大大加快。此外,表查找不仅限于数据库。在编程中,特别是在Python或Java等语言中,开发人员经常使用字典或哈希映射,这基本上是表查找技术的实现。例如,在创建一个需要计算文本中单词频率的程序时,程序员可能会使用一个哈希映射,其中每个单词都是一个键,其计数是值。这允许快速更新和查询,展示了表查找在管理数据方面的高效性。表查找证明在游戏开发中也很有益处。许多游戏需要实时计算和快速访问数据,例如玩家统计信息或物品属性。通过实施表查找方法,开发人员可以确保游戏运行顺畅而不会出现延迟,从而为玩家提供身临其境的体验。例如,如果玩家想知道某个武器的伤害输出,游戏可以立即从预定义的表中检索该信息,而不是每次都重新计算。尽管有其优点,但在使用表查找时也需要考虑一些因素。一个潜在的缺点是维护大型表所需的内存开销。如果数据集庞大,存储表所需的内存量可能会变得相当可观。因此,开发人员在决定是否实施表查找策略时,必须在速度和内存使用之间找到平衡。总之,表查找的概念是程序员和数据科学家工具包中的一个重要工具。它快速数据检索的能力使其成为各种应用程序的首选,从数据库到游戏。随着技术的不断发展,高效数据处理的重要性只会增加,从而巩固表查找作为追求优化性能的基本技术的角色。理解和掌握这一概念可以显著改善软件开发和数据管理实践。