数据结构的重要性有哪些？_行业资讯_新闻中心_济南网站制作_济南网站开发_济南网站建设公司_济南商城开发

一、数据库

1、 Database

我们很多数据都是存储在数据库里的，比如SQL Server、MySql等，如果某个数据库很大，里面包含了很多很多的数据，那如何快速地查询到具体某个数据，这时，我们肯定会考虑到

Many of our data are stored in databases, such as SQL server and mysql. If a database is large and contains a lot of data, we will certainly consider how to quickly query a specific data

如何存储，能够更容易查询 2、如何查，采用什么样的算法，查询的更快

How to store and query more easily 2. How to query and what algorithm to use to query faster

这两个问题。这个时候，就体现到了数据结构的重要性了。

These two questions. At this time, the importance of data structure is reflected.

在数据库里，索引就是一种数据结构，主要是为了加快查询速度。

In database, index is a kind of data structure, which is mainly to speed up query.

二、操作系统

2、 Operating system

我们使用的多的就是Windows操作系统，我们打开LOL想玩把游戏，又想边玩边听音乐，这时，我们又打开了酷狗。这里就用到了数据结构中的栈，LOL是个进程，酷狗也是个进程，这两个进程存储在栈中。

We use the windows operating system most. We open lol to play games and listen to music while playing. At this time, we open cool dog again. Here we use the stack in the data structure. Lol is a process and cool dog is also a process. These two processes are stored in the stack.

打印100份文档，计算机先把这100份文档内容存到队列中，然后再依次打印。

To print 100 documents, the computer first saves the contents of the 100 documents in the queue, and then prints them in turn.
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以上这两个场景都用到了数据结构。

Data structures are used in both of the above scenarios.

三、文件压缩

3、 File compression

我们把很大的文件压缩一下，这时就用到了数据结构中树的知识，压缩具体采用了树里的哈夫曼树的知识，将文件缩小很多。

We compress a large file. At this time, we use the knowledge of the tree in the data structure. The compression specifically uses the knowledge of the Huffman tree in the tree to reduce the file a lot.

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