WO2021217863A1

WO2021217863A1 - Order identifier generation method and apparatus, server, and storage medium

Info

Publication number: WO2021217863A1
Application number: PCT/CN2020/099301
Authority: WO
Inventors: 陈平
Original assignee: 平安科技（深圳）有限公司
Priority date: 2020-04-29
Filing date: 2020-06-30
Publication date: 2021-11-04
Also published as: CN111694841A

Abstract

An order identifier generation method, comprising: receiving an order determination request sent by a frontend device, the order determination request carrying an order type and a region where an order is located (S11); determining an order number identifier according to the order type, a value weight of an order corresponding to the order type, and the total order amount data of the order, and querying a mechanism identifier corresponding to the region where the order is located from the correspondence between a region where a preset order is located and a preset mechanism identifier (S12); determining an identifier of a server database corresponding to a target database by means of a distributed service framework zookeeper naming service from a plurality of databases comprised by a distributed system (S13); loading a first preset number of first number segments to a remote dictionary server (Redis) cache from a number segment information table of the target database (S14); extracting a target number identifier of the first number segment from the Redis cache (S15); generating an order identifier according to the order number identifier, the mechanism identifier, the identifier of the server database, and the target number identifier (S16); and in response to the order determination request, sending the order identifier to the frontend device (S17). The related data and information can be stored in a blockchain node.

Description

Method, device, server and storage medium for generating order identification

This application claims the priority of a Chinese patent application filed with the Chinese Patent Office on April 29, 2020, the application number is 202010358127.6 and the invention title is "Order Mark Generation Method, Device, Server and Storage Medium", the entire content of which is incorporated by reference In this application.

Technical field

This application relates to the field of distributed technology of blockchain, and in particular to a method, device, server and storage medium for generating an order identification.

Background technique

At present, the system uses a single database to generate the order number by self-incrementing the sequence of the database. For distributed systems, different fields will use different databases, and a large amount of data and messages need to be distinguished for their uniqueness. The inventor realizes that if the data of different databases continue to be used to generate the order identification by the way of self-incrementing the order number of the database, it obviously cannot meet the demand, and it is easy to cause conflicts when accessing different databases.

Summary of the invention

In view of the above, it is necessary to provide an order identification generation method, device, server and storage medium. This application also relates to the field of artificial intelligence technology, which can be applied to the direction of smart cities, which can make the generated order identification unique and avoid database access Time conflict.

The first aspect of the present application provides a method for generating an order identifier, and the method for generating an order identifier includes:

Receiving an order confirmation request sent by a front-end device, where the order confirmation request carries the order type and the area to which the order belongs;

According to the order type, the value weight of the order corresponding to the order type, and the order total amount data of the order, the order number identification is determined, and the corresponding relationship between the area of the preset order and the preset organization identification is queried. Organization ID corresponding to the region where the order belongs;

Among the multiple databases included in the distributed system, the server database identifier corresponding to the target database is determined through the naming service of the distributed service framework zookeeper;

Loading a first preset number of first number segments from the number segment information table of the target database to the remote dictionary service redis cache;

Extracting the target number identifier of the first number segment from the redis cache;

Generating an order identification according to the single number identification, the institution identification, the server database identification, and the target number identification;

In response to the order confirmation request, the order identifier is sent to the front-end device.

A second aspect of the present application provides a server, wherein the server includes a processor and a memory, and the processor is configured to execute at least one computer-readable instruction stored in the memory to implement the following steps:

Determine the order number identification according to the order type, the value weight of the order corresponding to the order type, and the order total amount data of the order;

Querying the organization identifier corresponding to the region to which the order belongs from the corresponding relationship between the region to which the predetermined order belongs and the identifier of the predetermined organization;

A third aspect of the present application provides a computer-readable storage medium on which at least one computer-readable instruction is stored, wherein the at least one computer-readable instruction implements the following steps when executed by a processor:

Query the organization identifier corresponding to the region to which the order belongs from the corresponding relationship between the region to which the predetermined order belongs and the identifier of the predetermined organization;

A fourth aspect of the present application provides an order identification generating device, and the order identification generating device includes:

The receiving module is configured to receive an order confirmation request sent by a front-end device, wherein the order confirmation request carries the order type and the area to which the order belongs;

The determining module is used to determine the order number identification and the corresponding relationship between the area of the preset order and the preset organization identification based on the order type, the value weight of the order corresponding to the order type, and the total order data of the order , Query the organization ID corresponding to the region to which the order belongs;

The determining module is also used to determine the server database identifier corresponding to the target database through the naming service of the distributed service framework zookeeper among multiple databases included in the distributed system;

A loading module, which is used to load a first preset number of first number segments from the number segment information table of the target database to the remote dictionary service redis cache;

An extraction module, configured to extract the target number identifier of the first number segment from the redis cache;

A generating module, configured to generate an order identifier according to the single number identifier, the institution identifier, the server database identifier, and the target number identifier;

The sending module is configured to send the order identifier to the front-end device in response to the order confirmation request.

Based on the above technical solutions, this application can be applied to fields where order marks are widely used, such as smart logistics, so as to promote the development of smart cities. In this application, the naming service of the distributed service framework zookeeper is used to determine the server database identifier corresponding to the target database, which can be used to distinguish the number segment value on different servers, and the redis asynchronous cache can avoid the blockage and lag in the use of the system At the same time, it can also reduce the impact of access to the database. According to the single number identification, the organization identification, the server database identification, and the target number identification, the generated order identification is unique, and in a distributed system , To ensure the global uniqueness of the order identifier and avoid conflicts during database access.

Description of the drawings

Fig. 1 is a flowchart of a preferred embodiment of an order identification generating method disclosed in the present application.

Fig. 2 is a functional module diagram of a preferred embodiment of an order identification generating device disclosed in the present application.

FIG. 3 is a schematic diagram of the structure of a server implementing a preferred embodiment of the method for generating an order identifier according to the present application.

Detailed ways

In order to be able to understand the above objectives, features and advantages of the application more clearly, the application will be described in detail below with reference to the accompanying drawings and specific embodiments. It should be noted that the embodiments of the application and the features in the embodiments can be combined with each other if there is no conflict.

Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the technical field of this application. The terms used in the specification of the application herein are only for the purpose of describing specific embodiments, and are not intended to limit the application.

Fig. 1 is a flowchart of a preferred embodiment of an order identification generating method disclosed in the present application. Among them, the order identification generation method is applied to the server. According to different requirements, the order of the steps in the flowchart can be changed, and some steps can be omitted.

S11. Receive an order confirmation request sent by a front-end device, where the order confirmation request carries an order type and a region to which the order belongs.

Among them, the front-end device is for the user, and the front-end device may include, but is not limited to, a smart phone, a personal computer, an IPAD, or other electronic devices that the user can operate. Users can perform operations on the front-end equipment, such as submitting a product order when purchasing an online product.

In this embodiment of the application, when the order confirmation request sent by the front-end device is received, it indicates that the user needs to purchase the goods corresponding to the order. At this time, the order does not generate an order identifier, that is, the order number that uniquely identifies the order, and the server needs to be triggered According to the order confirmation request, a unique order identification is generated.

Among them, the order type can be used to indicate the type of goods that the user needs to purchase, such as insurance, and the area to which the order belongs can be used to indicate the area where the front-end equipment is located when the order is submitted, such as a certain city.

S12. Determine the order number identifier according to the order type, the value weight of the order corresponding to the order type, and the total order data of the order, and query from the correspondence relationship between the region to which the preset order belongs and the preset organization identifier The organization identifier corresponding to the region to which the order belongs.

Among them, the order number identifiers corresponding to different order types are different, and the organization identifiers corresponding to the regions to which different orders belong are also different.

Specifically, according to the order type, the value weight of the order corresponding to the order type, and the order total amount data of the order, determining the order number identifier includes:

According to the order type, determine the value weight of the order corresponding to the order type;

Acquiring the total order data of the order;

Determine the order priority according to the value weight and the total order data;

The priority identifier corresponding to the order priority is determined as the single number identifier.

In this embodiment, the value weights of orders corresponding to different order types are different, the value weights can be used to measure the value of an order, and the value weight range can be set to [0,1]. Generally, the greater the value weight, the greater the value of the order, and it also indicates that the order is very important to the user. The order total data can reflect the data that the user needs to pay to purchase the order. The order priority can be determined according to the value weight and the order total data, for example, the value weight is multiplied by the order total data to obtain the product value, and the order priority corresponding to the product value is searched according to the product value. Finally, the priority identifier corresponding to the order priority can be determined as the single number identifier. Among them, the order priority can reflect the priority order in which the order is processed. After the order identification is generated, the order processing order can be determined according to the order priority in the order identification, which can provide more efficient orders for high-quality users. Order processing services to provide user experience.

Among them, the corresponding relationship between the region to which the order belongs and the organization identifier can be established in advance. In the corresponding relationship, the region to which each order belongs corresponds to an organization identifier. For example, the corresponding organization identifier in Fuzhou is 3910.

Optionally, the correspondence relationship between the order type and the order number identification can be established in advance. In the correspondence relationship, each order type corresponds to an order number identification, for example: the order number identification corresponding to the quotation is Q, and the order number identification corresponding to the insurance policy For 10 heads.

S13. In the multiple databases included in the distributed system, the server database identifier corresponding to the target database is determined through the naming service of the distributed service framework zookeeper.

Among them, the distributed system may include multiple databases, and different servers may share a database, or configure a database separately. The target database may be a database bound to a started server, or the target database may be a database determined from a plurality of databases in a distributed system according to the bearing capacity of the database.

Among them, ZooKeeper is a distributed, open source distributed application coordination service, an open source implementation of Google's Chubby, and an important component of Hadoop and Hbase. It is a software that provides consistent services for distributed applications. The functions provided include: configuration maintenance, domain name services, distributed synchronization, group services, etc.

Specifically, in the multiple databases included in the distributed system, determining the server database identifier corresponding to the target database through the naming service of the distributed service framework zookeeper includes:

Among the multiple databases included in the distributed system, determine the target database according to the endurance value of each database;

Generate a server identifier for the server to which the target database belongs through the naming service of the distributed service framework zookeeper;

According to the database identification of the target database and the server identification, the server database identification corresponding to the target database is determined.

In this embodiment, the target database can be selected from the multiple databases of the distributed system to reduce the impact on the database with weaker capacity. At the same time, the unique server identification can be generated through the naming service of the distributed service framework zookeeper , Determine the server database identifier corresponding to the target database according to the database identifier and the server identifier, and the server database identifier can be used to distinguish the number segment value of the databases of different servers. Among them, each database can store multiple number segment values in advance.

Specifically, among the multiple databases included in the distributed system, determining the target database according to the endurance value of each database includes:

Acquiring the historical access times of each database of the distributed system and the number of crashes of each database within a preset time;

Determining the endurance value of each database according to the number of historical visits and the number of crashes;

According to the endurance value, a target database is determined from a plurality of the databases.

Among them, in a distributed system, the storage capacity of each database is different, the number of historical accesses of each database is also different, and the number of crashes of each database is also different within a preset period of time (for example, within one month) . If there are many visits and few crashes, it indicates that the database has a better bearing capacity. Therefore, the target database can be selected according to the database's bearing capacity.

Specifically, weight values can be set for the number of historical visits and the number of crashes respectively, where the weight value of the number of historical visits can be set to be higher than the weight value of the number of crashes. According to the weight value, the number of historical visits and the number of crashes, the endurance value of each database is determined, and a target database whose endurance value exceeds a preset threshold is selected from a plurality of databases. In this way, a database with high tolerance and not easy to collapse can be selected first, so that the database in the distributed system can be used reasonably, reducing the impact on the database with weak tolerance, and increasing the service life of the database.

Specifically, the generating a server identifier for the server through the naming service of the distributed service framework zookeeper includes:

Obtain the identification position from the database identification position table;

Judging whether there is an identification bit capable of identifying the server in the identification bits;

If there is no identification bit that can identify the server in the identification bits, create a temporary node through the naming service of the distributed service framework zookeeper;

The node identifier of the temporary node is determined as the server identifier of the server.

Among them, a database identification can be created for each database in advance, and a database identification bit table can be created according to the database identification position. Since different servers can share the same database, in order to distinguish between different servers, you can also create a unique server ID for each server through the naming service of the distributed service framework zookeeper. The database identification bit table can be updated according to the database identification and the server identification, that is, the updated database identification bit table can be used to distinguish the number segment values of databases of different servers.

Generally, the online and offline times of different servers are different. If the server is started for the first time, the server does not have a server identification, that is, the identification bit in the current database identification bit table cannot identify the server Therefore, zookeeper needs to create a unique server ID for the server. At the same time, the database identification bit table is updated.

S14. Load a first preset number of first number segments from the number segment information table of the target database to the remote dictionary service redis cache.

Among them, a number segment information table is created in each database, and the number segment information table includes multiple numbers. After the target database is determined, a first preset number of first number segments can be loaded from the number segment information table of the target database to the remote dictionary service redis cache, where the first preset number is, for example, 100, for example, Load the number segment from 1 to 100 to redis, and then you can directly extract the number segment from redis without extracting it from the database, which can reduce the impact of access to the database.

Specifically, during loading, a number value queue can be generated in the redis cache. For example, when a number segment from 1 to 100 is loaded, a queue [1, 2, 3...100] is generated.

S15. Extract the target number identifier of the first number segment from the redis cache.

Usually, the server will go online or offline due to some reasons (such as human operation, failure), which will cause the number segment stored on the server to be lost. In order to avoid this situation as much as possible, in the embodiment of the present application, when deploying the device, the redis cache is deployed separately from the server, that is, the redis cache is not integrated on the server. Since the redis cache is more stable than the server, there are few problems. Store the first number segment in the remote dictionary service redis cache, and subsequently extract the target number identifier from the redis cache, without the need to extract the target from the server Number identification, the online/offline of the server will not affect the redis, even if the server is offline, the number segment identifier can still be extracted from the redis cache, reducing the loss of the number segment.

The method for generating an order identification further includes:

Create a listener event;

Through the monitoring event, the usage status of the first number segment in the redis cache is monitored.

In this embodiment, each time the target number identifier is extracted from the redis cache, a monitoring event can be created, and the monitoring event is used to monitor the usage status of the first number segment in the redis cache, that is, it can monitor To which number is currently used in the first number segment, for example, if the target number identification of the first number segment is extracted as 90, then it can be monitored that the number "90" is currently used. By monitoring events, the usage of the number segments cached by redis can be monitored in time to prevent the number segments from being lost, and at the same time, it is convenient for subsequent number segments to be supplemented in time.

The method for generating an order identification further includes:

According to the usage status, obtain the current usage value;

Judging whether the position of the currently used value is within the boundary value range of the first number segment;

If the position of the currently used value is within the boundary value range of the first number segment, asynchronously load a second preset number of second number segments from the number segment information table to the redis cache.

In this embodiment, the first number segment is composed of multiple numbers, that is, it represents the range of a number segment, and the boundary value range of the number segment is usually the value range of the number near the end of the number segment For example, the range of the first number segment is [1,100], and the boundary value range can be set to [90,100]. If the position of the currently used value is within the boundary value range of the first number segment, it indicates that the first number segment is about to be used up. For example, if the current use value is 90, it is in the boundary value range. When the segment is used up without loading the number segment, it is possible to asynchronously load the second preset number of the second number segment from the number segment information table when the current use value position is within the boundary value range of the first number segment To the redis cache to ensure that there are enough number segments available in redis. For example, you can load 100 second segment values of [101,200] in redis.

This asynchronous caching method avoids blockage and stalling when the system is in use.

S16. Generate an order identifier according to the single number identifier, the institution identifier, the server database identifier, and the target number identifier.

Optionally, the single number identification, the organization identification, the server database identification, and the target number identification can be superimposed together according to a preset identification superimposition rule to generate an order identification.

Optionally, the single number identification, the organization identification, the server database identification, and the target number identification can also be input into an identification generation model, and the order identification is generated through the identification generation model, wherein the identification is The generation model is pre-trained, and a unique identifier (such as an order identifier) is calculated by inputting identifiers of several parameters (such as a single number identifier, the organization identifier, the server database identifier, and the target number identifier).

In a distributed system, it can be used to generate a unique identifier.

S17. In response to the order confirmation request, send the order identifier to the front-end device.

Wherein, after the server sends the order identifier to the front-end device, the order identifier and other information about the order can be output on the front-end device, such as the order address, the orderer, the order after-sales service, and so on.

In the method process described in Figure 1, the server database identifier corresponding to the target database is determined through the naming service of the distributed service framework zookeeper, which can be used to distinguish the number segment value on different servers. Through the asynchronous cache of redis, the system can be avoided. At the same time, it can also reduce the impact of access to the database. According to the single number identification, the organization identification, the server database identification, and the target number identification, the generated order identification is unique , In a distributed system, the global uniqueness of the order identifier is guaranteed, and conflicts during database access are avoided.

It can be seen from the above embodiments that this application can be applied to fields where order identification is widely used, such as smart logistics, so as to promote the development of smart cities.

In some embodiments, the order identification generating device runs in a server. The order identification generating device may include a plurality of functional modules composed of program code segments. The program code of each program segment in the order identification generating device may be stored in a memory and executed by at least one processor to execute part or all of the steps in the order identification generating method described in FIG. 1.

In this embodiment, the order identification generating device can be divided into multiple functional modules according to the functions it performs. The functional modules may include: a receiving module 201, a determining module 202, a loading module 203, an extracting module 204, a generating module 205, and a sending module 206. The module referred to in this application refers to a series of computer program segments that can be executed by at least one processor and can complete fixed functions, and are stored in a memory.

The receiving module 201 is configured to receive an order confirmation request sent by a front-end device, where the order confirmation request carries the order type and the area to which the order belongs.

The determining module 202 is configured to determine the order number identifier according to the order type, the value weight of the order corresponding to the order type, and the order total amount data of the order, and the correspondence between the region to which the preset order belongs and the preset organization identifier In the relationship, query the organization ID corresponding to the region to which the order belongs.

Optionally, the correspondence relationship between the order type and the order number identification can be established in advance. In the correspondence relationship, each order type corresponds to an order number identification, for example: the order number identification corresponding to the quotation is Q, and the order number identification corresponding to the insurance policy The number is 10, similarly, the corresponding relationship between the region to which the order belongs and the organization ID can be established in advance. In the corresponding relationship, the region to which each order belongs corresponds to an organization ID. For example, the corresponding organization ID in Fuzhou is 3910.

Optionally, according to the order type, the value weight of the order corresponding to the order type, and the order total amount data of the order, determining the order number identifier includes:

Acquiring the total order data of the order;

The determining module 202 is also used to determine the server database identifier corresponding to the target database through the naming service of the distributed service framework zookeeper among multiple databases included in the distributed system.

Specifically, weight values can be set for the number of historical visits and the number of crashes respectively, where the weight value of the number of historical visits can be set to be higher than the weight value of the number of crashes. According to the weight value, the number of historical visits and the number of crashes, the endurance value of each database is determined, and a target database whose endurance value exceeds a preset threshold is selected from a plurality of databases. In this way, a database with a high endurance capacity and not easy to crash can be selected first, so that the database in a distributed system can be reasonably used, reducing the impact on the database with a weak endurance, and improving the service life of the database.

The loading module 203 is configured to load a first preset number of first number segments from the number segment information table of the target database to the remote dictionary service redis cache.

The extraction module 204 is configured to extract the target number identifier of the first number segment from the redis cache.

The generating module 205 is configured to generate an order identifier according to the single number identifier, the institution identifier, the server database identifier, and the target number identifier.

In a distributed system, it can be used to generate a unique identifier.

The sending module 206 is configured to send the order identifier to the front-end device in response to the order confirmation request.

In the device described in Figure 2, the server database identifier corresponding to the target database is determined through the naming service of the distributed service framework zookeeper, which can be used to distinguish the number segment value on different servers, and the redis asynchronous cache can avoid the time when the system is used. At the same time, it can also reduce the impact of access to the database. According to the single number identification, the organization identification, the server database identification, and the target number identification, the generated order identification is unique, In a distributed system, the global uniqueness of the order identifier is guaranteed, and conflicts during database access are avoided.

FIG. 3 is a schematic diagram of the structure of a server implementing a preferred embodiment of the method for generating an order identifier according to the present application. The server 3 includes a memory 31, at least one processor 32, a computer program 33 stored in the memory 31 and running on the at least one processor 32, and at least one communication bus 34.

Those skilled in the art can understand that the schematic diagram shown in FIG. 3 is only an example of the server 3, and does not constitute a limitation on the server 3. It may include more or less components than those shown in the figure, or combine some Components, or different components, for example, the server 3 may also include input and output devices, network access devices, and so on.

Among them, the server 3 may refer to a computer system that can provide services to other devices (such as electronic devices) in the network. If a personal computer can provide File Transfer Protocol (FTP) service externally, it can also be called a server. In a narrow sense, the server refers to certain high-performance computers that can provide services to the outside world through the network. Compared with ordinary personal computers, they have higher requirements in terms of stability, security, and performance. Therefore, in the CPU , Chipset, memory, disk system, network and other hardware are different from ordinary personal computers.

The at least one processor 32 may be a central processing unit (Central Processing Unit, CPU), or other general-purpose processors, digital signal processors (Digital Signal Processors, DSPs), and application specific integrated circuits (ASICs). ), Field-Programmable Gate Array (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. The processor 32 can be a microprocessor or the processor 32 can also be any conventional processor, etc. The processor 32 is the control center of the server 3, and connects each of the entire server 3 through various interfaces and lines. part.

The memory 31 may be used to store the computer program 33 and/or modules/units. The processor 32 runs or executes the computer programs and/or modules/units stored in the memory 31 and calls the computer programs and/or modules/units stored in the memory 31. The data in 31 realizes various functions of the server 3. The memory 31 may mainly include a storage program area and a storage data area. The storage program area may store an operating system, an application program required by at least one function (such as a sound playback function, an image playback function, etc.), etc.; the storage data area may Data (such as audio data) and the like created according to the use of the server 3 are stored. In addition, the memory 31 may include volatile and non-volatile memory, such as random access memory (RAM), hard disk, internal memory, plug-in hard disk, smart media card (SMC), and security A digital (Secure Digital, SD) card, a flash card (Flash Card), at least one magnetic disk storage device, a flash memory device, or other computer-readable storage media that can be used to carry or store data. The computer-readable storage medium may be non-volatile or volatile.

With reference to FIG. 1, the memory 31 in the server 3 stores multiple instructions to implement an order identification generation method, and the processor 32 can execute the multiple instructions to achieve:

Specifically, for the specific implementation method of the above-mentioned instructions by the processor 32, reference may be made to the description of the relevant steps in the embodiment corresponding to FIG. 1, which will not be repeated here.

In the server 3 described in Figure 3, the server database identifier corresponding to the target database is determined through the naming service of the distributed service framework zookeeper, which can be used to distinguish the number segment value on different servers. Through the redis asynchronous cache, the system can be avoided. At the same time, it can also reduce the impact of access to the database. According to the single number identification, the organization identification, the server database identification, and the target number identification, the generated order identification is unique , In a distributed system, the global uniqueness of the order identifier is guaranteed, and conflicts during database access are avoided.

If the integrated modules/units of the server 3 are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer readable storage medium. Based on this understanding, the present application implements all or part of the processes in the above-mentioned embodiments and methods, and can also be completed by instructing relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium. When the program is executed by the processor, it can implement the steps of the foregoing method embodiments. Wherein, the computer program includes computer program code, and the computer program code may be in the form of source code, object code, executable file, or some intermediate forms. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, U disk, mobile hard disk, magnetic disk, optical disk, computer memory, and read-only memory (ROM, Read-Only Memory) .

Further, the computer-readable storage medium may mainly include a storage program area and a storage data area, where the storage program area may store an operating system, an application program required by at least one function, etc.; the storage data area may store Data created by the use of nodes, etc.

The blockchain referred to in this application is a new application mode of computer technology such as distributed data storage, point-to-point transmission, consensus mechanism, and encryption algorithm. Blockchain, essentially a decentralized database, is a series of data blocks associated with cryptographic methods. Each data block contains a batch of network transaction information for verification. The validity of the information (anti-counterfeiting) and the generation of the next block. The blockchain can include the underlying platform of the blockchain, the platform product service layer, and the application service layer.

This application can be used in many general or special computer system environments or configurations. For example: personal computers, server computers, handheld devices or portable devices, tablet devices, multi-processor systems, microprocessor-based systems, set-top boxes, programmable consumer electronic devices, network PCs, small computers, large computers, including Distributed computing environment for any of the above systems or equipment, etc. This application may be described in the general context of computer-executable instructions executed by a computer, such as a program module. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform specific tasks or implement specific abstract data types. This application can also be practiced in distributed computing environments. In these distributed computing environments, tasks are performed by remote processing devices connected through a communication network. In a distributed computing environment, program modules can be located in local and remote computer storage media including storage devices.

In the several embodiments provided in this application, it should be understood that the disclosed system, device, and method can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the modules is only a logical function division, and there may be other division methods in actual implementation.

The modules described as separate components may or may not be physically separated, and the components displayed as modules may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules can be selected according to actual needs to achieve the objectives of the solutions of the embodiments.

In addition, the functional modules in the various embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware, or may be implemented in the form of hardware plus software functional modules.

For those skilled in the art, it is obvious that the present application is not limited to the details of the foregoing exemplary embodiments, and the present application can be implemented in other specific forms without departing from the spirit or basic characteristics of the application. Therefore, no matter from which point of view, the embodiments should be regarded as exemplary and non-limiting. The scope of this application is defined by the appended claims rather than the above description, and therefore it is intended to fall into the claims. All changes in the meaning and scope of the equivalent elements of are included in this application. Any associated diagram marks in the claims should not be regarded as limiting the claims involved. In addition, it is obvious that the word "including" does not exclude other units or steps, and the singular does not exclude the plural. Multiple units or devices stated in the system claims can also be implemented by one unit or device through software or hardware.

Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the application and not to limit them. Although the application has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the application can be Make modifications or equivalent replacements without departing from the spirit and scope of the technical solution of the present application.

Claims

A method for generating an order identifier, applied to a server, wherein the method for generating an order identifier includes:

Receiving an order confirmation request sent by a front-end device, where the order confirmation request carries the order type and the area to which the order belongs;

Determine the order number identification according to the order type, the value weight of the order corresponding to the order type, and the order total amount data of the order;

Query the organization identifier corresponding to the region to which the order belongs from the corresponding relationship between the region to which the predetermined order belongs and the identifier of the predetermined organization;

Among the multiple databases included in the distributed system, the server database identifier corresponding to the target database is determined through the naming service of the distributed service framework zookeeper;

Loading a first preset number of first number segments from the number segment information table of the target database to the remote dictionary service redis cache;

Extracting the target number identifier of the first number segment from the redis cache;

Generating an order identification according to the single number identification, the institution identification, the server database identification, and the target number identification;

In response to the order confirmation request, the order identifier is sent to the front-end device.
The method for generating an order identification according to claim 1, wherein determining the order number identification according to the order type, the value weight of the order corresponding to the order type, and the order total amount data of the order comprises:

According to the order type, determine the value weight of the order corresponding to the order type;

Acquiring the total order data of the order;

Determine the order priority according to the value weight and the total order data;

The priority identifier corresponding to the order priority is determined as the single number identifier.
The method for generating an order identification according to claim 1, wherein said determining the server database identification corresponding to the target database through the naming service of the distributed service framework zookeeper among the multiple databases included in the distributed system comprises:

Among the multiple databases included in the distributed system, determine the target database according to the endurance value of each database;

Generate a server identifier for the server to which the target database belongs through the naming service of the distributed service framework zookeeper;

According to the database identification of the target database and the server identification, the server database identification corresponding to the target database is determined.
The method for generating an order identification according to claim 3, wherein, among the multiple databases included in the distributed system, determining the target database according to the affordability value of each of the databases comprises:

Acquiring the historical access times of each database of the distributed system and the number of crashes of each database within a preset time;

Determining the endurance value of each database according to the number of historical visits and the number of crashes;

According to the endurance value, a target database is determined from a plurality of the databases.
The order identification generating method according to claim 3, wherein said generating a server identification for the server to which the target database belongs through the naming service of the distributed service framework zookeeper comprises:

Obtain the identification position from the database identification position table;

Judging whether there is an identification bit capable of identifying the server to which the target database belongs in the identification bits;

If there is no identification bit that can identify the server to which the target database belongs, create a temporary node through the naming service of the distributed service framework zookeeper;

The node identifier of the temporary node is determined as the server identifier of the server.
The method for generating an order identification according to any one of claims 1 to 5, wherein the method for generating an order identification further comprises:

Create a listener event;

Through the monitoring event, the usage status of the first number segment in the redis cache is monitored.
The method for generating an order identification according to any one of claims 1 to 5, the method for generating an order identification further comprises:

According to the usage status, obtain the current usage value;

Judging whether the position of the currently used value is within the boundary value range of the first number segment;

If the position of the currently used value is within the boundary value range of the first number segment, asynchronously load a second preset number of second number segments from the number segment information table to the redis cache.
A server, wherein the server includes a processor and a memory, and the processor is configured to execute at least one computer-readable instruction stored in the memory to implement the following steps:

Receiving an order confirmation request sent by a front-end device, where the order confirmation request carries the order type and the area to which the order belongs;

Determine the order number identification according to the order type, the value weight of the order corresponding to the order type, and the order total amount data of the order;

Query the organization identifier corresponding to the region to which the order belongs from the corresponding relationship between the region to which the predetermined order belongs and the identifier of the predetermined organization;

Among the multiple databases included in the distributed system, the server database identifier corresponding to the target database is determined through the naming service of the distributed service framework zookeeper;

Loading a first preset number of first number segments from the number segment information table of the target database to the remote dictionary service redis cache;

Extracting the target number identifier of the first number segment from the redis cache;

Generating an order identification according to the single number identification, the institution identification, the server database identification, and the target number identification;

In response to the order confirmation request, the order identifier is sent to the front-end device.
The server according to claim 8, wherein the processor executes the at least one computer-readable instruction to implement the value weight of the order corresponding to the order type, the order type, and the order of the order The total data, when determining the tracking number identification, specifically include:

According to the order type, determine the value weight of the order corresponding to the order type;

Acquiring the total order data of the order;

Determine the order priority according to the value weight and the total order data;

The priority identifier corresponding to the order priority is determined as the single number identifier.
The server according to claim 8, wherein the processor executes the at least one computer-readable instruction to implement the determination of the multiple databases included in the distributed system through the naming service of the distributed service framework zookeeper The server database identifier corresponding to the target database includes:

Among the multiple databases included in the distributed system, determine the target database according to the endurance value of each database;

Generate a server identifier for the server to which the target database belongs through the naming service of the distributed service framework zookeeper;

According to the database identification of the target database and the server identification, the server database identification corresponding to the target database is determined.
The server according to claim 10, wherein the processor executes the at least one computer readable instruction to implement the plurality of databases included in the distributed system, according to the affordability value of each of the databases, When determining the target database, it specifically includes:

Acquiring the historical access times of each database of the distributed system and the number of crashes of each database within a preset time;

Determining the endurance value of each database according to the number of historical visits and the number of crashes;

According to the endurance value, a target database is determined from a plurality of the databases.
The server according to claim 10, wherein the processor executes the at least one computer-readable instruction to implement the naming service through the distributed service framework zookeeper, when generating a server identifier for the server to which the target database belongs , Specifically including:

Obtain the identification position from the database identification position table;

Judging whether there is an identification bit capable of identifying the server to which the target database belongs in the identification bits;

If there is no identification bit that can identify the server to which the target database belongs, create a temporary node through the naming service of the distributed service framework zookeeper;

The node identifier of the temporary node is determined as the server identifier of the server.
The server according to any one of claims 8 to 12, wherein the processor executing the at least one computer readable instruction is further configured to execute the following steps:

Create a listener event;

Through the monitoring event, the usage status of the first number segment in the redis cache is monitored.
The server according to any one of claims 8 to 12, wherein the processor executing the at least one computer readable instruction is further configured to execute the following steps:

According to the usage status, obtain the current usage value;

Judging whether the position of the currently used value is within the boundary value range of the first number segment;

If the position of the currently used value is within the boundary value range of the first number segment, asynchronously load a second preset number of second number segments from the number segment information table to the redis cache.
A computer-readable storage medium has at least one computer-readable instruction stored thereon, wherein the at least one computer-readable instruction implements the following steps when executed by a processor:

Receiving an order confirmation request sent by a front-end device, where the order confirmation request carries the order type and the area to which the order belongs;

Determine the order number identification according to the order type, the value weight of the order corresponding to the order type, and the order total amount data of the order;

Query the organization identifier corresponding to the region to which the order belongs from the corresponding relationship between the region to which the predetermined order belongs and the identifier of the predetermined organization;

Among the multiple databases included in the distributed system, the server database identifier corresponding to the target database is determined through the naming service of the distributed service framework zookeeper;

Loading a first preset number of first number segments from the number segment information table of the target database to the remote dictionary service redis cache;

Extracting the target number identifier of the first number segment from the redis cache;

Generating an order identification according to the single number identification, the institution identification, the server database identification, and the target number identification;

In response to the order confirmation request, the order identifier is sent to the front-end device.
The storage medium according to claim 15, wherein the at least one computer-readable instruction is executed by the processor to implement the value weight of the order corresponding to the order type, the order type, and the order When determining the order number identification, it specifically includes:

According to the order type, determine the value weight of the order corresponding to the order type;

Acquiring the total order data of the order;

Determine the order priority according to the value weight and the total order data;

The priority identifier corresponding to the order priority is determined as the single number identifier.
The storage medium according to claim 15, wherein the at least one computer-readable instruction is executed by the processor to implement the naming service of the distributed service framework zookeeper among the multiple databases included in the distributed system. , When determining the server database identifier corresponding to the target database, it specifically includes:

Among the multiple databases included in the distributed system, determine the target database according to the endurance value of each database;

Generate a server identifier for the server to which the target database belongs through the naming service of the distributed service framework zookeeper;

According to the database identification of the target database and the server identification, the server database identification corresponding to the target database is determined.
The storage medium according to claim 17, wherein the at least one computer-readable instruction is executed by the processor to implement the multiple databases included in the distributed system, according to the bearing capacity of each of the databases Value, when determining the target database, specifically include:

Acquiring the historical access times of each database of the distributed system and the number of crashes of each database within a preset time;

Determining the endurance value of each database according to the number of historical visits and the number of crashes;

According to the endurance value, a target database is determined from a plurality of the databases.
The storage medium according to claim 17, wherein the at least one computer-readable instruction is executed by the processor to implement the naming service through the distributed service framework zookeeper, and generate a server for the server to which the target database belongs When marking, specifically include:

Obtain the identification position from the database identification position table;

Judging whether there is an identification bit capable of identifying the server to which the target database belongs in the identification bits;

If there is no identification bit that can identify the server to which the target database belongs, create a temporary node through the naming service of the distributed service framework zookeeper;

The node identifier of the temporary node is determined as the server identifier of the server.
An order identification generating device, wherein the order identification generating device includes:

The receiving module is configured to receive an order confirmation request sent by a front-end device, wherein the order confirmation request carries the order type and the area to which the order belongs;

The determining module is used to determine the order number identification and the corresponding relationship between the area of the preset order and the preset organization identification based on the order type, the value weight of the order corresponding to the order type, and the total order data of the order , Query the organization ID corresponding to the region to which the order belongs;

The determining module is also used to determine the server database identifier corresponding to the target database through the naming service of the distributed service framework zookeeper among multiple databases included in the distributed system;

A loading module, which is used to load a first preset number of first number segments from the number segment information table of the target database to the remote dictionary service redis cache;

An extraction module, configured to extract the target number identifier of the first number segment from the redis cache;

A generating module, configured to generate an order identifier according to the single number identifier, the institution identifier, the server database identifier, and the target number identifier;

The sending module is configured to send the order identifier to the front-end device in response to the order confirmation request.