Asynchronous statistical method and system of list

Abstract

The invention discloses an asynchronous statistical method and a system of a list, and the method comprises the following steps: monitoring the modification of list data at a client end, analyzing the configuration properties of fields of the list, requesting parameters according to the construction, obtaining a list data request path as a data statistical request path, and sending an asynchronous data request to a server end; judging whether the asynchronous data request is a list data request or a data statistical request according to the request parameters at the server end when a handling function receives the asynchronous data request, carrying out resolution on the request parameters and constructing a database request of statistical data when the asynchronous data request is determined to be the data statistical request, and requesting a database to return to the statistical data; and carrying out the resolution and finding the statistical data of the corresponding fields according to field names of all the fields at the client end when the database is returned to the statistical data, writing the statistical data into statistical columns of the corresponding fields, and realizing the asynchronization of the list data and the statistical data.

Description

technical field [0001] The present invention generally relates to Internet technology, and more specifically relates to a list asynchronous statistics method and system, which develops a list asynchronous statistics plug-in based on the Ext Js framework on the client side, and provides analysis statistics generated by the plug-in on the server side parameters and construct the interface of the database request for statistical data request, thus realizing the asynchronous list data and statistical data. Background technique [0002] It should be understood that Ext Js is an open source Ajax framework written in javascript and used to develop rich client applications and create rich and colorful web application program interfaces on the rich client. [0003] With the development of Internet technology, the loading and statistical methods of client list data are also constantly improving. At present, the commonly used recording methods include one-time loading of list data and...

AI Technical Summary

Problems solved by technology

[0004] One-time loading of list data and statistical data on the client side: the advantage of this method is that only the list data is loaded, and the data statistics of the list are done on the client side, which reduces the request time, but the disadvantage is that all data needs to be loaded at one time, which increases browsing time. The burden on the server, when the amount of data is large, the browser will buffer, calculate and display a large amount of data, so the browser response will become very slow, especially when the customer's machine configuration is low, the browser will directly die, thus significantly impacting the customer experience; and

[0005] List data and statistical data are loaded together: this method puts the list data statistics on the server side, so the list data can be loaded in pages without loading at one time, which reduces the pressure on the browser, but also when the amount of data is large , the statistical data will take a long time, which leads to the fact that the list data has been obtained but the data statistics are not completed, so the request cannot be returned, and the browser is in the state of data loading, which also affects the user experience

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