WO2017133539A1

WO2017133539A1 - Service data processing method, device and system

Info

Publication number: WO2017133539A1
Application number: PCT/CN2017/072185
Authority: WO
Inventors: 黄俊深; 王翔; 刘婷婷; 蔡飞
Original assignee: 腾讯科技（深圳）有限公司
Priority date: 2016-02-02
Filing date: 2017-01-23
Publication date: 2017-08-10
Also published as: CN107026881B; CN107026881A

Abstract

Provided are a service data processing method, device and system. The method comprises: a distributed computing server receives a service message and attribute information thereof from a service system, wherein the attribute information comprises a user identifier and source geographical location information; in accordance with a specified first time interval, the distributed computing server performs, on the basis of different geographical levels, distributed user quantity deduplication computation on the service message from the service system according to the source geographical location information and the user identifier thereof, so as to obtain statistical data of user quantities in different places; and the distributed computing server stores, to a database, the statistical data of the user quantities in different places obtained according to the first time interval. The technical solution in the present invention can quickly determine geographical distribution of service message-related information.

Description

Method, device and system for processing business data

Technical field

The invention relates to the field of information monitoring, in particular to a method, device and system for processing business data.

Background of the invention

In some application scenarios, some information about a service message, such as a message volume and/or a number of users, is required to perform statistical processing and determination of geographical distribution. For example, when there may be malicious sources in each service, it is necessary to determine the distribution of the malicious messages in various regions in order to monitor the key services. For another example, when there may be a malicious increase in a certain business, it is necessary to determine the business area of the malicious increase, so as to quickly adjust the strategy to the corresponding business, and suppress the malicious spread. In addition, when it is necessary to assist in offline attacks, and to eliminate malicious sources, it is also necessary to count and determine the geographical distribution of the target information of the business messages.

Summary of the invention

In view of this, an embodiment of the present invention provides a method for processing service data, and a device and system for processing service data for determining a geographical distribution of information related to a service message.

A method for processing service data provided in the embodiment of the present invention includes:

The distributed computing server receives the service message and the attribute information from the service system; the attribute information includes the user identifier and the source geographic location information;

The distributed computing server performs the de-recalculation of the number of distributed users according to the geographical location information and the user identifier according to the geographical location information and the user identifier of the service system according to the set first time interval, and obtains the distribution of the localities. Statistics of the number of users Interest; and

The statistical data of the number of users distributed in each place obtained according to the first time interval is stored in a database.

The query server receives the query request from the user, and obtains statistics of the number of users distributed by the distributed computing server according to the first time interval according to the query request, and displays the number of users distributed in the local area. Statistics; and

The statistical data of the number of users distributed by the distributed computing server according to the first time interval is: the distributed computing server according to the set first time interval, according to the source of the service message from the service system The geographical location information and the user identification are respectively calculated according to the number of distributed users in different geographical levels, and the statistical information of the number of users distributed in various places is obtained.

The apparatus for processing service data provided in the embodiment of the present invention includes: at least one computing server and at least one summary server; wherein

Each computing server is configured to receive a service message from the service system and attribute information thereof, where the attribute information includes a user identifier and a source geographic location information; and according to the geographical location information of each service message according to the first time interval, the different geographic level The service message of one area in the area is recalculated according to the user identifier of each service message, and the statistics of the number of users in the area are obtained;

Each summary server is configured to summarize the statistics of the number of users in the same area of different computing servers according to the first time interval, and obtain statistics of the number of users distributed in each place.

A device for processing service data provided in the embodiment of the present invention includes:

a request receiving module, configured to receive a query request from a user;

a query module, configured to obtain, according to the query request, statistics of a number of users distributed by a distributed computing server according to a first time interval from a database; and

a display module, configured to display statistics queried by the query module.

A processing system for service data provided in the embodiment of the present invention includes:

a real-time retrieval analysis server, configured to receive a service message and a property information thereof from the service system from the service system, and store the service message and its attribute information by using a nested column storage and a bitmap; the attribute information includes User identification and source geographical location information; determining, according to the stored geographical information in the service message and the attribute information thereof, statistical data of the volume of the message distributed by the service message in real time; and

a distributed computing server, configured to receive a service message from the service system and attribute information thereof from the service system or the real-time retrieval analysis server; according to the set first time interval, the service message from the service system is based on the source thereof The geographical location information and the user identifier are respectively calculated according to the number of distributed users in different geographical levels, and the statistical information of the number of users distributed in various places is obtained; the statistical data of the number of users distributed in each place according to the first time interval is obtained. Stored in a database.

It can be seen that, in the embodiment of the present invention, by using the distributed computing server, the service message from the service system can be re-calculated according to the geographical location information and the user identifier according to different geographical levels. Quickly determine the statistics of the number of users distributed around, and then store the statistics in a database for query display.

BRIEF DESCRIPTION OF THE DRAWINGS

In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following drawings will be briefly described, and the drawings in the following description are only some embodiments of the present invention. Other drawings may also be obtained from those of ordinary skill in the art in light of the inventive work. among them,

1 is a schematic structural diagram of an implementation environment according to various embodiments of the present invention;

2A and 2B are respectively schematic structural diagrams of a query server according to an embodiment of the present invention;

3 is an exemplary flowchart of a method for determining a geographical distribution of target information of a service message according to an embodiment of the present invention;

4 and FIG. 5 are schematic structural diagrams showing a method for displaying geographical distribution of target information of a service message according to an embodiment of the present invention.

Mode for carrying out the invention

In order to make the objects, technical solutions and advantages of the present invention more comprehensible, the present invention will be further described in detail below.

FIG. 1 is a schematic structural diagram of an implementation environment according to various embodiments of the present invention. As shown in FIG. 1, the implementation environment includes a business system 101, a real-time retrieval analysis server 102, a distributed computing server 103, a database 104, and a query server 105.

The service system 101 is configured to provide a service message and attribute information of the service message. The service message may be a malicious message filtered by the service system, or may be a message for setting a service to be monitored. The specific type of the service message is not limited herein. The attribute information of the service message may include a user identifier and source location information, and the like.

The real-time search and analysis server 102 is configured to receive the service message from the service system 101 and its attribute information from the service system 101 in real time, and organize and store the service message by means of nested column storage and bit-map. And its attribute information. This kind of structure storage method can realize the rapid positioning of key data when analyzing large-scale complex data, such as terabyte-scale complex data, so that data access analysis of seconds can be realized. Therefore, the real-time search analysis server 102 can determine the statistical data of the message amount distributed by the service message in real time in a real-time manner according to the stored geographical information of the service message and its attribute information.

The real-time search and analysis server 102 can be a search and analysis platform, such as Hermes real-time search and analysis server, and the Hermes real-time search and analysis server combines search and data analysis based on search engine technology to realize tera-level data-level directed search analysis and Fuzzy search analysis. In addition, the real-time search and analysis server 102 can also perform other statistical functions for realizing the real-time determination of the volume of the message distributed by the service message in real time according to the source geographical information in the stored service message and its attribute information. Retrieve the analytics server in real time.

The distributed computing server 103 is configured to receive business messages from the business system 101 and their attribute information from the business system 101 or the real-time retrieval analysis server 102. According to the set first time interval, the service message from the service system 101 is de-recalculated according to the geographical location information and the user identifier according to the geographical location of the source, and the number of distributed users is obtained. Statistics information; the statistical data of the number of users distributed in each place obtained according to the first time interval is stored in the database 104. The first time interval here can be 1 hour, which can be calculated every 1 hour. In addition, the first time interval may also be other time periods, such as half an hour, 45 minutes, 1.5 hours or 2 hours, and the like.

The distributed computing server 103 can be a Hadoop computing cluster. The Hadoop computing cluster is a distributed system infrastructure. Users can develop distributed programs without utilizing the underlying details of the distributed, and make full use of the performance of the cluster for high-speed computing. And storage. In addition, the distributed computing server 103 can also be other computing clusters that can implement the above functions.

The distributed computing server 103 can be a server cluster that includes multiple servers. In one process, these servers can be used for stand-alone computing or multi-machine aggregation, respectively. Each server for performing calculation (referred to as a computing server) is configured to receive a service message and a property information thereof from the service system, where the attribute information includes a user identifier and a source geographic location information; and according to the first time interval according to each service The source of the message, geographical location information, different The service message of one area in the area level is recalculated according to the user ID of each service message, and the statistics of the number of users in the area are obtained. For example, if the geographic level includes three levels of city, province, and country, if the number of users distributed in province A and the number of users distributed in city B are to be counted, at least one computing server is used for service messages of province A. The user number is de-recalculated according to the user identifier of each service message, and the statistics of the number of users in the province A are obtained, and at least one calculation server is used to perform service calculation on the B city, and the user number is de-recalculated according to the user identifier of each service message. Get statistics on the number of users in City B. Then, each server for aggregation (referred to as a summary server) is used to summarize the statistics of the number of users in the same area of different computing servers, and obtain statistics of the number of users distributed in various places. For example, at least one summary server is used to summarize the statistics of the number of users in the A provinces of different computing servers, and obtain statistics of the number of users distributed in the province A; at least one summary server is used to collect statistics on the number of users in the B city of different computing servers. The summary is performed to obtain statistics on the number of users distributed in the B city. In some applications, the summary server can also be one. Of course, the geographical level can also be divided into four levels including county, region, province, and country. How to divide it here is not specifically limited.

In addition, the distributed computing server 103 may be further configured to perform, according to the set second time interval, the number of distributed users according to different geographical levels according to the geographical location information and the user identifier of the service message from the service system. Recalculating, obtaining statistical data of the number of users distributed in various places; and performing distributed message volume calculation according to different geographical levels according to the geographic location information of the service message, and obtaining statistics of the amount of messages distributed everywhere; Statistics of the number of users distributed throughout the time and the amount of messages obtained in accordance with the second time interval are stored in the database 104. The second time interval is greater than the first time interval. For example, the second time interval may be one day, that is, the statistics of the amount of messages distributed around the country and the number of users are calculated once a day. In addition, the second time interval may also be other time intervals, for example, 2 days, 3 days, 4 days, .... Specifically, each computing server is further used According to the geographical location information of each service message according to the second time interval, the service message of one of the different geographical levels is re-calculated according to the user identifier of each service message, and the statistics of the number of users in the area are obtained; And performing message volume statistics on the service messages of one of the different geographical levels according to the geographical location information of each service message, and obtaining the message volume statistics of the area; each summary server is configured to perform different calculations according to the second time interval. The statistical results of the number of users in the same area of the server are summarized, and the statistical data of the number of users distributed in each area is obtained; and the statistical results of the user message volume in the same area of different computing servers are summarized, and the statistical data of the distributed message volume is obtained. By further calculating the geographical distribution of the number of users and the amount of messages according to the second time interval, it is possible to reduce unnecessary repeated calculations when querying historical data.

For example, in the case of counting the statistics of the message volume and the number of users in the provinces A and B, as an example, when the message amount is counted, at least one calculation server may use the message volume statistics of the service messages of the province A to obtain the province A. The message volume statistics, at least one calculation server is used to perform message volume statistics on the service messages of the B city, and obtain the message volume statistics data of the B city. At least one summary server is configured to summarize the A-message statistics of different computing servers, and obtain statistics of the amount of messages distributed by the province A; at least one summary server is used to summarize the statistics of the B-messages of different computing servers. , get the statistics of the amount of messages distributed by the B city. In some applications, the summary server can also be one.

The database 104 can be a Cloud Database (CDB). The main features of the CDB include: high-performance, highly reliable MySQL services; and integration of automated management tools to minimize developer involvement in deployment, monitoring, capacity expansion, and failover. In addition, database 104 can also be a traditional database or a database integrated on a compute cluster server.

The query server 105 is configured to receive a query request from the user, determine whether the statistical data that needs to be queried is real-time data or historical data, and if it is real-time data, obtain the number of users distributed according to the latest first time interval from the database 104. Statistics from The real-time search and analysis server 102 obtains the statistical data of the distributed amount of the localized distributed message in real time, and displays the statistical data of the number of users distributed in the local area and the amount of the message; if it is historical data, the second corresponding query is obtained from the database 104. The statistics of the number of users and the amount of messages distributed around the time interval are obtained, and the statistics of the number of users and the amount of messages distributed in the localities are displayed.

Of course, the query server 105 may also default to obtain statistical data of the number of users distributed in the local area obtained from the database 104 according to the most recent first time interval or obtain the distributed computing server 103 from the database 104 according to the query request. Statistics of the number of users distributed throughout the time interval. And/or, the real-time retrieval analysis server 102 may also be used to obtain the statistics of the locally distributed message amount in real time.

In the technical solution in the embodiment of the present invention, the response delay of the initial query request may be less than 10 seconds (s), and the response delay of the continuous query request may be less than 5 seconds. That is to say, the technical solution can display the geographical distribution statistics of the service message volume and the number of users in a real-time manner under low delay conditions.

A processing system for service data proposed in the embodiment of the present invention may include only the distributed computing server 103 described above.

Still another processing system for service data proposed in the embodiments of the present invention may include only the real-time retrieval analysis server 102 described above.

A further processing system for service data proposed in the embodiments of the present invention may include the real-time retrieval analysis server 102 and the distributed computing server 103 described above.

The processing system of each of the foregoing service data may further include a query server 105.

A processing system for service data proposed in the embodiment of the present invention may include only the above-mentioned query server 105.

Still another processing system for service data proposed in the embodiments of the present invention may include the distributed computing server 103 and the query server 105 described above.

A further processing system for service data proposed in the embodiments of the present invention may include the real-time retrieval analysis server 102 and the query server 105 described above.

A further processing system for service data proposed in the embodiments of the present invention may include the real-time retrieval analysis server 102, the distributed computing server 103, and the query server 105 described above.

The query server 105 in the embodiment of the present invention may have various specific implementation manners, and FIG. 2A and FIG. 2B respectively show one of them.

As shown in FIG. 2A, the query server 105 can include a request receiving module 201, a query module 202, and a presentation module 203.

The request receiving module 201 is configured to receive a query request from a user.

The querying module 202 is configured to obtain, according to the query request, statistics of a number of users distributed by a distributed computing server according to a first time interval from a database.

The display module 203 is configured to display the statistics queried by the query module.

As shown in FIG. 2B, the query server 105 can include a request receiving module 201, a determining module 204, a query module 202, and a display module 203.

The determining module 202 is configured to determine, according to the query request, whether the statistical data that needs to be queried is real-time data or historical data.

The query module 203 is configured to: when the statistical data that needs to be queried is real-time data, obtain statistics of the number of users distributed by the distributed computing server according to the latest first time interval from a database; and the statistical data that needs to be queried When the data is historical data, the statistical data of the number of distributed users and the amount of messages obtained by the distributed computing server corresponding to the second time interval are queried from the database.

The display module 204 is configured to display the statistics queried by the query module.

In an embodiment, the query module 203 is further configured to obtain the real-time search and analysis from a real-time search and analysis server when the statistical data that needs to be queried is real-time data. The statistics of the amount of distributed messages distributed around the server in real time.

A method for processing service data is also proposed in the embodiment of the present invention, and the method can be implemented in the implementation environment shown in FIG.

FIG. 3 is an exemplary flowchart of a method for processing service data according to an embodiment of the present invention. This method can be applied to distributed computing servers. As shown in FIG. 3, the method may include the following steps:

Step 301: The distributed computing server receives the service message and the attribute information from the service system, where the attribute information includes the user identifier and the source geographic location information.

Step 302: The distributed computing server performs the de-recalculation of the number of distributed users according to different geographical levels according to the geographical location information and the user identifier of the service message from the service system according to the set first time interval. Get statistics on the number of users distributed across the country.

Among them, different geographical levels can be divided according to actual needs. For example, they can be divided into three levels: city, province, and country, or can be divided into four levels: county, region, province, and country.

Step 303: The distributed computing server stores the statistical data of the number of distributed users in the local time interval according to the first time interval into a database.

The method may further include the following

steps

304 and 305.

Step 304: The distributed computing server recalculates the number of distributed users according to different geographical levels according to the geographical location information and the user identifier of the service message from the service system according to the set second time interval. The statistical data of the number of distributed users; and the distributed message amount calculation according to different geographical levels according to the geographic location information of the service message, and the statistical data of the distributed message volume is obtained. The second time interval is greater than the first time interval.

Step 305, the number of users distributed in each place obtained according to the second time interval The statistics of the amount of interest are stored in a database.

In the above method, the service message data from the service system is de-recalculated according to the geographical location information and the user identifier according to the source geographic information and the user identifier, and the statistics of the number of users distributed in the local area are obtained, which may include: Each of the computing servers in the distributed computing server performs the deduplication of the number of users according to the user identifier of each service message according to the geographical location information of each service message, and obtains the user of the area according to the user identifier of each service message. Statistics data; each summary server in the distributed computing server aggregates the statistics of the number of users in the same area of different computing servers, and obtains statistical data of the number of users distributed in various places.

In the above method, the service message is calculated according to the geographical location information of the source according to different geographical levels, and the statistical data of the distributed message volume is obtained, which may include: each of the distributed computing servers. The calculation server performs message volume statistics on the service messages of one of the different geographical levels according to the geographical location information of each service message, and obtains the statistics of the message volume of the area; each summary server in the distributed computing server performs different calculations. The statistics of the message volume of the same area of the server are summarized, and the statistics of the amount of the message distributed in each place are obtained.

In addition, the foregoing method may further include: the real-time retrieval analysis server receives the service message and the attribute information from the service system from the service system, and stores the service message and the attribute information by using a nested column storage and a bitmap. And determining, according to the stored geographical information of the service message and the attribute information thereof, statistics of the amount of the message distributed by the service message in real time.

FIG. 4 and FIG. 5 are respectively schematic flowcharts of a method for processing service data according to an embodiment of the present invention. This method can be applied to the query server.

Corresponding to steps 301-303, a method for processing service data provided in this embodiment may be as shown in FIG. 4, and includes the following steps:

In step 401, the query server receives a query request from the user.

Step 402: The query server obtains, according to the query request, statistics of the number of users distributed by the distributed computing server according to the first time interval from a database.

In this step, if statistics of the number of users distributed in the local area obtained in the first time interval are displayed, the statistics of the number of users distributed by the distributed computing server in the latest first time interval are obtained from the database. Data; if statistics of the number of users distributed in the local area obtained by the previous first time interval are displayed, the statistics of the number of users distributed by the distributed computing server at the corresponding first time interval are obtained from the database. data.

Step 403, displaying statistics of the number of users distributed in the localities.

In addition, the method shown in FIG. 4 may further include: obtaining, from the real-time search and analysis server, statistical data of the distributed amount of the localized information obtained by the real-time search and analysis server in real time, and displaying statistical data of the distributed amount of the localized information.

Corresponding to the steps 301-305, the method for displaying the geographical distribution of the target information of the service message provided in this embodiment may be as shown in FIG. 5, and includes the following steps:

In step 501, the query server receives a query request from the user.

Step 502: The query server receives the query request from the user, and determines whether the statistical data to be queried is real-time data or historical data. If it is real-time data, step 503 is performed; otherwise, step 504 is performed.

Step 503: Obtain statistics of the number of users distributed by the distributed computing server in the latest first time interval from the database, and display statistics of the number of users distributed in the local area.

Step 504: Query, from the database, statistics of the number of users and the amount of messages distributed by the distributed computing server at corresponding second time intervals, and display statistics of the number of users and the amount of messages distributed in the local area. data.

In addition, the method shown in FIG. 5 may further include: when the statistical data that needs to be queried is real-time data, obtaining, from the real-time search and analysis server, the statistical data of the distributed amount of the localized information obtained by the real-time search and analysis server in real time, and displaying Statistics of the amount of messages distributed throughout the country.

Additionally, each of the embodiments of the present invention can be implemented by a data processing program executed by a data processing device such as a computer. Obviously, the data processing program constitutes the present invention. Further, a data processing program usually stored in a storage medium is executed by directly reading a program out of a storage medium or by installing or copying the program to a storage device (such as a hard disk and or a memory) of the data processing device. Therefore, such a storage medium also constitutes the present invention. The storage medium can use any type of recording method, such as paper storage medium (such as paper tape, etc.), magnetic storage medium (such as floppy disk, hard disk, flash memory, etc.), optical storage medium (such as CD-ROM, etc.), magneto-optical storage medium ( Such as MO, etc.).

Further, it can be understood that the program code read out from the storage medium is written into a memory provided in an expansion board inserted into the computer or written in a memory set in an extension unit connected to the computer, and then based on the program code. The instructions cause a processor or the like mounted on the expansion board or the expansion unit to perform part and all of the actual operations, thereby realizing the functions of any of the above embodiments. Wherein, the processor may include one or more processing cores.

The above is only the preferred embodiment of the present invention, and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., which are included in the spirit and scope of the present invention, should be included in the present invention. Within the scope of protection.

Claims

A method for processing business data, comprising:

The distributed computing server receives the service message and the attribute information from the service system; the attribute information includes the user identifier and the source geographic location information;

The distributed computing server performs the de-recalculation of the number of distributed users according to the geographical location information and the user identifier according to the geographical location information and the user identifier of the service system according to the set first time interval, and obtains the distribution of the localities. Statistics on the number of users; and

The statistical data of the number of users distributed in each place obtained according to the first time interval is stored in a database.
The method according to claim 1, wherein the method further comprises: the real-time retrieval analysis server receives the service message from the service system and the attribute information thereof from the service system, and adopts a nested column storage and a bitmap manner. And storing the service message and the attribute information thereof; determining, according to the stored geographical information of the service message and the attribute information thereof, the statistical data of the message volume distributed by the service message in real time;

The distributed computing server receives a service message from the service system and its attribute information derived from the real-time retrieval analysis server; or the distributed computing server receives a service message from the service system from the service system and Its attribute information.
The method according to claim 1 or 2, wherein the method further comprises: the distributed computing server separately, according to the set second time interval, the service message from the service system according to the source geographical location information and the user identifier respectively The distributed number of users is recalculated according to different geographical levels, and the statistical data of the number of users distributed in various places is obtained; and the distributed message amount is calculated according to different geographical levels according to the geographic location information of the service messages. , obtaining statistics on the amount of messages distributed throughout the country; and

Storing the statistics of the number of users and the amount of messages distributed in the local time interval according to the second time interval into a database;

The second time interval is greater than the first time interval.
The method according to claim 3, wherein the method further comprises: the query server receiving the query request from the user, determining whether the statistical data to be queried is real-time data or historical data, and if it is real-time data, from the database Obtaining statistics of the number of users distributed in the local area obtained in the most recent first time interval, and obtaining statistics of the distributed amount of the localized information obtained by the real-time retrieval analysis server in real time from the real-time retrieval analysis server, and displaying the distribution of the localities The statistics of the number of users and the statistics of the amount of messages distributed in the localities; if it is historical data, the statistics of the number of users and the amount of messages distributed in the respective second time intervals are queried from the database, and The statistics of the number of users and the amount of messages distributed in the localities are displayed.
The method according to claim 4, wherein when the statistical data to be queried is real-time data, the real-time retrieval analysis server further obtains statistical data of the distributed amount of the localized information obtained by the real-time retrieval analysis server in real time, and Statistics of the amount of messages distributed throughout the country are displayed.
The method according to claim 3, wherein the service message data from the service system is de-recalculated according to the geographical location information and the user identifier of the source according to different geographical levels, and is obtained by various places. Statistics on the number of users distributed, including:

Each of the computing servers in the distributed computing server performs the deduplication of the number of users according to the user identifier of each service message according to the geographical location information of each service message, and obtains the user of the area according to the user identifier of each service message. Statistics; and

Each summary server in the distributed computing server aggregates the statistics of the number of users in the same area of different computing servers, and obtains statistics of the number of users distributed in different places;

The said service message is calculated according to the geographical location information of the source according to different geographical levels, and the statistics of the distributed message volume are obtained, including:

Each of the computing servers in the distributed computing server performs message volume statistics on the service messages of one of the different geographical levels according to the geographic location information of each service message, and obtains the statistics of the message volume of the area;

Each summary server in the distributed computing server aggregates the statistics of the message volume of the same region of different computing servers, and obtains statistics of the amount of messages distributed throughout the network.
A method for processing business data, comprising:

The query server receives the query request from the user, and obtains statistics of the number of users distributed by the distributed computing server according to the first time interval according to the query request, and displays the number of users distributed in the local area. Statistics; and

The statistical data of the number of users distributed by the distributed computing server according to the first time interval is: the distributed computing server according to the set first time interval, according to the source of the service message from the service system The geographical location information and the user identification are respectively calculated according to the number of distributed users in different geographical levels, and the statistical information of the number of users distributed in various places is obtained.
The method of claim 7 wherein the method further comprises:

Determining, according to the query request, whether the statistical data that needs to be queried is real-time data or historical data, and if it is real-time data, obtaining, from the database, the number of users distributed by a distributed computing server according to the latest first time interval Statistics, and displaying statistical data of the number of users distributed in the localities; if it is historical data, querying the database for the number of users and the amount of messages distributed by the distributed computing server corresponding to the second time interval Statistical data, and display statistical data of the number of users and the amount of messages distributed in the localities;

The statistics of the number of users and the amount of messages distributed by the distributed computing server corresponding to the second time interval are: the distributed computing server according to the set second time interval, according to the source geography of the service message from the service system The location information and the user identifier are respectively calculated according to different geographical levels, and the statistics of the number of users distributed in each place are obtained, and the service messages are respectively according to different geographical levels according to the geographical location information of the source information. The distributed message volume is calculated, and the statistics of the distributed message volume are obtained.
The method of claim 8 further comprising:

When the statistic data to be queried is the real-time data, the statistic data of the distributed amount of the localized information obtained by the real-time search and analysis server in real time is further obtained from a real-time search and analysis server, and the statistical data of the distributed message amount is displayed.
A processing device for business data, comprising: at least one computing server and at least one summary server; wherein

Each computing server is configured to receive a service message from the service system and attribute information thereof, where the attribute information includes a user identifier and a source geographic location information; and according to the geographical location information of each service message according to the first time interval, the different geographic level The service message of one area in the area is recalculated according to the user identifier of each service message, and the statistics of the number of users in the area are obtained;

Each summary server is configured to summarize the statistics of the number of users in the same area of different computing servers according to the first time interval, and obtain statistics of the number of users distributed in each place.
The device according to claim 10, wherein the calculation server is further configured to: according to the source geographic location information of each service message according to the second time interval, the service message of one of the different geographical levels is according to each service message. The user ID is used to perform the recalculation of the number of users, and obtains the statistics of the number of users in the area; and the service information of one of the different geographical levels is cancelled according to the geographical location information of the source of each service message. Statistics on the amount of information, and get statistics on the volume of the area;

Each summary server is configured to summarize the statistics of the number of users in the same area of different computing servers according to the second time interval, and obtain statistical data of the number of users distributed in each area; and perform statistics on the statistics of the same area of different computing servers. Summarize and get statistics on the amount of messages distributed throughout the country.
A device for processing business data, comprising:

a request receiving module, configured to receive a query request from a user;

a query module, configured to obtain, according to the query request, statistics of a number of users distributed by a distributed computing server according to a first time interval from a database; and

a display module, configured to display statistics queried by the query module.
The device of claim 12, wherein the device further comprises:

a judging module, configured to determine, according to the query request, whether the statistical data that needs to be queried is real-time data or historical data;

The query module is further configured to: when the statistical data that needs to be queried is real-time data, obtain statistics of the number of users distributed by the distributed computing server according to the latest first time interval from the database; When the statistical data is historical data, the statistical data of the number of distributed users and the amount of messages obtained by the distributed computing server corresponding to the second time interval are queried from the database.
The device according to claim 13, wherein the query module is further configured to: when the statistical data that needs to be queried is real-time data, obtain, from a real-time search and analysis server, the distributed distribution of the real-time search and analysis server in real time. Statistics of the amount of messages.
A processing system for business data, comprising:

Real-time retrieval analysis server for receiving business messages and attribute information from the business system from the business system, and storing the services in a nested column storage and bitmap manner a message and attribute information thereof; the attribute information includes a user identifier and a source geographic location information; and determining, according to the stored geographical information of the service message and the attribute information thereof, real-time statistics of the amount of the message distributed by the service message ;with

a distributed computing server, configured to receive a service message from the service system and attribute information thereof from the service system or the real-time retrieval analysis server; according to the set first time interval, the service message from the service system is based on the source thereof The geographical location information and the user identifier are respectively calculated according to the number of distributed users in different geographical levels, and the statistical information of the number of users distributed in various places is obtained; the statistical data of the number of users distributed in each place according to the first time interval is obtained. Stored in a database.
The system according to claim 15, wherein the distributed computing server is further configured to: according to the set second time interval, the service message from the service system is different according to the source geographical location information and the user identifier. The geographical level of the distributed user number is recalculated to obtain statistical data of the number of users distributed in each place; and the distributed message amount is calculated according to different geographical levels according to the geographic location information of the service message. Statistic data of the distributed amount of the information; the statistical data of the number of distributed users and the amount of the message obtained according to the second time interval are stored in a database; the second time interval is greater than the first time interval.
The system of claim 16 wherein the system further comprises:

The query server is configured to receive a query request from the user, determine whether the statistical data to be queried is real-time data or historical data, and if it is real-time data, obtain, from the database, the distributed users according to the latest first time interval. Statistics of the number, the statistical data of the distributed amount of the localized distributed information is obtained from the real-time search and analysis server, and statistics of the number of users and the amount of messages distributed in the local area are displayed; if it is historical data, Querying statistics of the number of users and the amount of messages distributed in the local time interval corresponding to the second time interval, and displaying statistics on the number of users and the amount of messages distributed in the local area. data.