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CN104572663A - Realizing method for intelligently searching classifiable data based on JSP - Google Patents

Realizing method for intelligently searching classifiable data based on JSP Download PDF

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Publication number
CN104572663A
CN104572663A CN 201310479924 CN201310479924A CN104572663A CN 104572663 A CN104572663 A CN 104572663A CN 201310479924 CN201310479924 CN 201310479924 CN 201310479924 A CN201310479924 A CN 201310479924A CN 104572663 A CN104572663 A CN 104572663A
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Prior art keywords
querying
method
conditions
data
condition
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CN 201310479924
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Chinese (zh)
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不公告发明人
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镇江金软计算机科技有限责任公司
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    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor ; File system structures therefor
    • G06F17/30861Retrieval from the Internet, e.g. browsers
    • G06F17/30864Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems

Abstract

Aiming at the defects that a conventional form condition querying method is simple in querying condition and low in expansibility and consumes time and labor in the querying process, the invention discloses a realizing method for intelligently searching classifiable data based on JSP. According to the method, multiple querying conditions can be selected at one time, and the querying conditions can be obtained through both intelligent screening by manually inputting key words, and through selection by virtue of fast retrieval according to classes, so that due to the method that querying conditions are firstly screened for querying secondly, the querying efficiency is greatly improved, and the working intensity of operators and the complexity are also alleviated to a certain extent. The method is particularly applicable to BS frame systems with very large query data volume and various querying conditions.

Description

—种基于JSP的智能搜索可分级数据的实现方法 - kind of intelligent search JSP-based scalable implementations of data

技术领域 FIELD

[0001] 本发明涉及一种基于JSP的智能搜索可分级数据的实现方法。 [0001] The present invention relates to a method for implementing intelligent search JSP based scalable data. 本发明属于计算机技术领域。 The present invention belongs to the field of computer technologies.

背景技术 Background technique

[0002] 随着社会信息技术的发展,BS架构系统下表单查询功能被越来越广泛的使用,通常一个简单查询就能影响管理员的工作效率。 [0002] With the social development of information technology, architecture system under BS form inquiry function is more and more widely used, usually a simple query can affect the efficiency of administrators. 就拿查一个公司情况来说,不同地区存在着各类企业,而各类企业下面又有多种公司。 Take the case of a company investigation, the existence of various types of enterprises in different regions, but the following types of enterprises have a variety of companies. 如果管理员想直接查询相应公司的情况,传统的查询方法是:管理员需要先从系统中存在的众多公司中先找到自己想要查询公司的名称,然后根据公司名称查询该公司的一些情况,而且一般查询条件只能选择一个公司。 If administrators want direct check on the status of the respective companies, the traditional query method is: many companies from the system administrator needs to exist in the first query to find the name of the company you want, and then query some cases the company according to the company name, and generally query can only choose a company. 显然,这种方法对于小数据量的查询还算比较适用,可以暂时满足其发展要求。 Obviously, this method for small amounts of data query fairly applied, can temporarily meet their development requirements. 但是随着社会市场经济的发展,以后成立的公司会逐年增多,如果还是按照传统方法进行查询无疑会严重降低查询的效率,而且这种传统查询的方法比较死板,其扩展性也不强。 But as the social market economy, after the establishment of the company will be increasing year by year, or if the query according to the traditional methods undoubtedly will seriously reduce the efficiency of the query, but this method of traditional query more rigid, its expansion is not strong.

发明内容 SUMMARY

[0003] 针对传统查询条件单一、效率低下的缺点,本发明介绍了一种基于JSP的智能搜索可分级数据的实现方法。 [0003] The traditional single query, the inefficient drawbacks, the present invention describes a method for implementing intelligent search JSP based scalable data. 该方法可以同时选择多个查询条件,既可以通过手工输入直接智能筛选出查询条件,又可以按照级别快速检索到要查询的条件。 This method can select multiple search criteria at the same time, both screened intelligent query entered directly by hand, and can be retrieved in accordance with the conditions to be queried level quickly. 该发明方法的操作界面如图1和图2所示,具体实现步骤如下: The user interface method of the present invention shown in FIGS. 1 and 2, the specific steps are as follows:

步骤1:用户登录系统,点击相应导航链接进入相应表单查询页面; Step 1: The user login system, click on the appropriate form corresponding navigation link query page;

步骤2:通过输入关键字智能查找:用户点击表单列表上方查询区域中的“选择”按钮,系统会弹出一个新窗口,如图2所示,用来检索查询条件,若当前在上方的文本框中输入公司名称开头前几个子,则文本框下方会出现相应公司完整名称,点击相应公司名称后,该公司名称就会被添加到文本框下方右侧的文本域中,这样可以同时添加多个公司名称。 Step 2: Find by entering keywords intelligent: the user clicks on the form above the list of query area of ​​the "select" button, the system will pop up a new window, shown in Figure 2, is used to retrieve the query, if the current text box at the top enter the company name starts with several sub ago, the text box will appear below the full name of the company, after clicking on the company name, the company name will be added to the right of the text field below the text box, so you can add multiple simultaneous company name. 点击确定按钮后会返回到列表页面,再点击列表上方查询区域中的“查询”按钮,即可实现查询功能; Click OK to return to the list page, then click the area above the list of queries in the "Query" button, you can achieve query function;

步骤3:通过分级选择智能查找:用户点击表单列表上方查询区域中的“选择”按钮,系统会弹出一个新窗口,如图2所示,单击文本框下方左侧的文本域中的箭头,会出现下级数据,直到最后一级,勾选查询条件右侧复选框,然后在点击两个文本域中间的向右箭头按钮,则被勾选的查询条件会被添加到右侧的文本域中,这样可以同时添加多个公司名称。 Step 3: Find a smart choice by classification: the user clicks on the form above the list of query area of ​​the "select" button, the system will pop up a new window, shown in Figure 2, the arrows to the left of the text field, click the text box below, data will be lower, until the last one, check the query box on the right side, then in the middle of the two text fields click the right arrow button, were checked query will be added to the right of the text field , so you can add more than one company name at the same time. 点击确定按钮后会返回到列表页面,再点击列表上方查询区域中的“查询”按钮,即可实现查询功能; Click OK to return to the list page, then click the area above the list of queries in the "Query" button, you can achieve query function;

步骤4:步骤2和步骤3可以同时进行,筛选查询条件。 Step 4: Step 2 and Step 3 may be performed simultaneously, filter query.

附图说明 BRIEF DESCRIPTION

[0004] 图1为表单查询之前初始界面。 [0004] FIG. 1 is a form prior to the initial query interface.

[0005] 图2为表单查询条件选择界面。 [0005] FIG. 2 is a query form selection interface.

具体实施方式 detailed description

[0006] 实施例一 [0006] Example a

使用MyEclipse 8.6作为开发工具,使用市场上专用的数据库管理工具MySQL建立系统所需要的数据库。 Using MyEclipse 8.6 as a development tool, using a dedicated MySQL database management tool on the market to establish a database system needs. 具体方式为: Specific way:

1.通过输入关键字智能查找:根据文本框输入的关键字进行模糊查询; 1. Find by entering keywords intelligence: fuzzy query based on keyword input text box;

2.通过分级选择智能查找:对查询条件进行分级,并且把查询条件以树状形式列出:如第一级别为地区;第二级别为该地区下的企业;第三级别即最后一个级别为该企业下的公司。 2. Select Smart Find grading: grading of the query, and the query is listed as a tree: If the first level of the region; at the second level of the enterprise in the region; the third and final level is a level companies in this business. ;

3.同时通过输入关键字和按照级别进行选择筛选出查询条件。 3. while filtering out the query by entering keywords and make selections according to the level.

[0007] 4.返回表单查询初始页面:当点击“确定”后,获取右侧文本域中所有筛选出来的查询条件并且把这些值传到表单查询初始页面上方查询区域的文本框中,以分号分隔每个查询条件。 [0007] 4. Return the form at the initial page: When you click "OK" to get all the screened right of the text query field and query forms spread these values ​​query area above the initial page text box to points No. separate each query.

[0008] 5.执行查询:点击表单查询页面上方查询区域的“查询”按钮,根据多个查询条件执行模糊查询操作。 [0008] 5. Perform the query: query page by clicking the form of the query area above the "Search" button, according to a plurality of query conditions execute a query fuzzy operation.

[0009] 除上述实施例外,本发明还可以有其他实施方式。 [0009] In addition to the above-described embodiment exceptions, the present invention is capable of other embodiments. 凡采用等同替换或等效变换形成的技术方案,均落在本发明要求的保护范围。 Where the use of equivalent replacement or equivalent transformation formed aspect, the invention all fall within the scope of the present claims.

Claims (3)

1.可以同时通过输入关键字和按照级别进行选择联合筛选出查询条件。 1. Joint screened simultaneously query by entering keywords and make selections according to the level.
2.选择好多个查询条件,然后返回表单查询初始页面,表单上方查询区域的条件文本框内的多个条件以分号分隔。 2. Choose a good number of query, then returns to the initial inquiry form page, a number of conditions query area above the form of conditional text box separated by semicolons.
3.点击表单查询页面上方查询区域的“查询”按钮,是根据多个查询条件执行模糊查询操作。 3. Click the top of the page query form the query area of ​​"Search" button, fuzzy query is executed according to a plurality of query conditions.
CN 201310479924 2013-10-15 2013-10-15 Realizing method for intelligently searching classifiable data based on JSP CN104572663A (en)

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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7031952B1 (en) * 1999-10-08 2006-04-18 Knowledge Filter, Inc. Knowledge filter
CN101576914A (en) * 2009-06-22 2009-11-11 用友软件股份有限公司 Method and device for providing service data
CN101645086A (en) * 2009-08-28 2010-02-10 用友软件股份有限公司 Retrieval method
CN101950291A (en) * 2010-07-14 2011-01-19 张康德 Search engine method for database
CN102081606A (en) * 2009-12-01 2011-06-01 千乡万才科技(中国)有限公司 Method and device for universal combined inquiry

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7031952B1 (en) * 1999-10-08 2006-04-18 Knowledge Filter, Inc. Knowledge filter
CN101576914A (en) * 2009-06-22 2009-11-11 用友软件股份有限公司 Method and device for providing service data
CN101645086A (en) * 2009-08-28 2010-02-10 用友软件股份有限公司 Retrieval method
CN102081606A (en) * 2009-12-01 2011-06-01 千乡万才科技(中国)有限公司 Method and device for universal combined inquiry
CN101950291A (en) * 2010-07-14 2011-01-19 张康德 Search engine method for database

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
陶岳 等: ""关系数据库上基于元组组合的关键字查询"", 《计算机研究与发展》 *

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