CN116993459A - E-commerce ordering management method based on cloud data analysis - Google Patents
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Abstract
The application discloses an electronic commerce ordering management method based on cloud data analysis, which comprises the following steps: step S1, acquiring order data by utilizing a cloud platform, converting the order data from a receiving state to a delivery state through a SaaS mode, and setting the SaaS mode into a forward order management state, a reverse order management state and an order circulation state; s2, acquiring order receiving data from a cloud platform through the forward order management state, and managing shipping operation through an order receiving data time sequence; and S3, introducing a state machine module according to the forward order management state and the reverse order management state effectiveness, and serially connecting the whole e-commerce order state scheduling order circulation information through the state machine module, wherein the order circulation information is connected into a cloud platform through a JFinal frame according to the order circulation state to optimize distribution logistics, thereby ensuring the configurability and high performance of order circulation, reducing repeated work, improving the circulation efficiency of orders and realizing the configurability of an order circulation link.
Description
Technical Field
The application relates to the technical field of electronic commerce order processing, in particular to an electronic commerce order management method based on cloud data analysis.
Background
Because the quick increase of the order quantity of the electronic commerce and the richer order circulation links lead to the gradual loss of value due to the fact that the original order management system of the electronic commerce company cannot adapt to such a scene, the main problems are that:
firstly, the existing order circulation links are only rooted in the system in a hard coding mode, so that the existing order circulation links are almost invariable and cannot adapt to service scenes of different circulation links required by different orders at the present stage;
secondly, due to explosive growth of the number of orders, the original order management system cannot support huge processing capacity, and phenomena such as system blocking and delay are frequently caused, so that the usability is reduced;
thirdly, the order reverse process of the original system has single function, and the customized scene is too many and difficult to use, so that the expandability and maintainability are poor;
therefore, a general reverse order management module is urgently needed to guarantee the business function of returning goods.
Disclosure of Invention
The application aims to provide an electronic commerce ordering management method and system based on cloud data analysis, which are used for solving the technical problems of stuck and delayed order management system, single service scene, reduced practicability and the like caused by explosive increase of order quantity in the prior art.
In order to solve the technical problems, the application specifically provides the following technical scheme:
an electronic commerce ordering management method based on cloud data analysis comprises the following steps:
step S1, acquiring order data by utilizing a cloud platform, converting the order data from a receiving state to a delivery state through a SaaS mode, and setting the SaaS mode into a forward order management state, a reverse order management state and an order circulation state;
s2, acquiring order receiving data from a cloud platform through the forward order management state, managing shipping operation through an order receiving data time sequence, enabling the reverse order management state to take effect when the order receiving data is abnormal, and carrying out return and exchange operation on the order data;
and S3, introducing a state machine module according to the effectiveness of the forward order management state and the reverse order management state, and serially connecting the whole e-commerce order state dispatching order circulation information through the state machine module, wherein the order circulation information is accessed into a cloud platform through a JFinal frame according to the order circulation state to optimize distribution logistics.
In the step S1, the SaaS mode data terminal mainly comprises a cloud platform database and an Opensearch search engine, wherein the cloud platform database stores order data in a Mysql database, and the Opensearch search engine constructs a two-dimensional array as a data index structure for rapidly searching the order data.
As a preferred scheme of the application, the data index structure is utilized to monitor an order system call link through an eagle eye server, the eagle eye server acquires call chain relations of the same order service request in all systems by collecting and analyzing log embedded points in different order systems, and the forward order management state and the reverse order management state are related through the call chain relations;
the reverse order management state configures a reverse architecture into a facade layer, a service layer, a core layer and a dao layer through an order management system BMS, the facade layer adopts an appearance model to define a high-level interface to be connected with a multi-order platform, the service layer is specifically connected with the multi-order platform, the core layer is relied on to process order service, the order service is packaged into an object-oriented database interface through the dao layer, and the database interface is connected with a cloud platform to execute order operation.
As a preferable scheme of the application, the reverse order of the order management system BMS is created by utilizing the core layer, return information is created by utilizing a SaveRefundOrder script, the return information is audited and processed by the AuditRefundOrder script, the return information is called to the order management system BMS link to create the return order, the core layer is connected with each state node in series in an xml configuration mode to form a complete order finite state machine, and the order finite state machine modifies order data and states by packaging the order state nodes.
As a preferred scheme of the application, the order finite state machine utilizes MetaQ message middleware to drive and modify the order state, controls the validity of the forward order management state and the reverse order management state by calling a flow engine, sends the necessary service information of the order to the MetaQ server in a message mode, and returns the received order state information to the flow engine by the MetaQ server to execute the scheduling of the order service operation by the flow engine.
As a preferable scheme of the application, the order finite state machine adopts a stateMachinenode to define an order state node, acquires all attributes of the state machine node, acquires order data through order parameters transmitted by the order management system BMS and executes business logic of a corresponding order.
As a preferred scheme of the application, the order state node adopts a layering module to take charge of specific order circulation information, and the order circulation information exchanges service layer data and dao layer data through a JFinal frame to acquire conversion, adaptation and data encapsulation of order data.
As a preferred scheme of the application, the order circulation information obtains the latest order information according to parameters transmitted by the order management system BMS, obtains a finite state machine corresponding to the order from the order finite state machine according to the order information, obtains a corresponding state node according to the obtained finite state machine model, and executes state behavior.
Compared with the prior art, the application has the following beneficial effects:
the application realizes conversion among a forward order management state, a reverse order management state and an order circulation state by utilizing the SaaS mode, ensures the configurability and high performance of order circulation, ensures that a user can perform certain management work on orders, ensures that the order management is simpler and reduces repeated operation, ensures the state conversion of the orders in the process from receiving the orders to delivering the orders according to the order circulation state, ensures that the orders can be slowly digested by the system without instantly crushing the whole system when the orders are greatly promoted by using the JFINA frame, ensures the stability, improves the system performance, improves the working efficiency of the user by using the whole order management method, reduces repeated work, improves the circulation efficiency of the orders and realizes the configurability of order circulation links.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It will be apparent to those of ordinary skill in the art that the drawings in the following description are exemplary only and that other implementations can be obtained from the extensions of the drawings provided without inventive effort.
Fig. 1 is a flowchart of an e-commerce ordering management method based on cloud data analysis provided by an embodiment of the application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
As shown in fig. 1, the application provides an e-commerce ordering management method based on cloud data analysis, which comprises the following steps:
step S1, acquiring order data by utilizing a cloud platform, converting the order data from a receiving state to a delivery state through a SaaS mode, and setting the SaaS mode into a forward order management state, a reverse order management state and an order circulation state;
s2, acquiring order receiving data from a cloud platform through the forward order management state, managing shipping operation through an order receiving data time sequence, enabling the reverse order management state to take effect when the order receiving data is abnormal, and carrying out return and exchange operation on the order data;
and S3, introducing a state machine module according to the effectiveness of the forward order management state and the reverse order management state, and serially connecting the whole e-commerce order state dispatching order circulation information through the state machine module, wherein the order circulation information is accessed into a cloud platform through a JFinal frame according to the order circulation state to optimize distribution logistics.
In this embodiment, conversion among a forward order management state, a reverse order management state and an order circulation state is realized through a SaaS mode, so that configurability and high performance of order circulation are ensured, a user can perform a certain management work on an order, order management is simpler and repeated operation is reduced, state conversion of the order in the process from receiving the order to delivering is ensured according to the order circulation state, meanwhile, the order can be slowly digested by a system when the order is greatly promoted and is not crushed by the whole system in an instant manner through a JFinal frame, stability is ensured, system performance is improved, an electric commerce order state is monitored at any time by introducing a state machine model, after the order flows into the order management system through a multi-platform access system, the order circulation process can be automatically entered, a merchant can intervene the order automatic circulation process through a rule system, for example, the merchant can set a default audit to automatically check the order through entering a delivery flow when the order enters an audit node, and manual audit is not required to ensure timeliness.
In step S1, the SaaS mode data end is mainly composed of a cloud platform database and an Opensearch search engine, the cloud platform database stores order data in a Mysql database, and the Opensearch search engine constructs a two-dimensional array as a data index structure for rapidly searching the order data.
In this embodiment, an Opensearch search engine and a cloud platform database are used to form an order data layer together, so that order data can be conveniently obtained, and meanwhile, an Opensearch search engine is used to construct a data index structure for quick search according to detailed data of an order, so as to improve the multi-dimensional search speed of the order.
Monitoring an order system call link through an eagle eye server by utilizing the data index structure, wherein the eagle eye server acquires call chain relations of the same order service request in all systems by collecting and analyzing log embedded points in different order systems, and associates the forward order management state and the reverse order management state through the call chain relations;
in the embodiment, the eagle eye server is introduced to monitor the call chain relation of the order system for acquiring the same service request among all systems, so that the method has great help to the entrance of the whole order application request, the service call source and the dependency relation among services, and meanwhile, the method has great help to the analysis of the call bottleneck of the system, the positioning abnormality in a short time and the like through the deep analysis of the call links.
The reverse order management state configures a reverse architecture into a facade layer, a service layer, a core layer and a dao layer through an order management system BMS, the facade layer adopts an appearance model to define a high-level interface to be connected with a multi-order platform, the service layer is specifically connected with the multi-order platform, the core layer is relied on to process order service, the order service is packaged into an object-oriented database interface through the dao layer, and the database interface is connected with a cloud platform to execute order operation.
In this embodiment, the service layer is mainly an order status service layer, and is responsible for implementing specific service operations in each status of an order, so as to complete a series of service actions in the circulation process.
And creating a reverse order of the order management system BMS by using the core layer, creating return information by using a SaveRefundOrder script, and calling the order management system BMS link to create the return order by checking and processing the return information through an AuditRefundOrder script, wherein the core layer is connected with each state node in series in an xml configuration mode to form a complete order finite state machine, and the order finite state machine modifies order data and states by packaging the order state nodes.
The order finite state machine utilizes MetaQ message middleware to drive and modify the order state, controls the effectiveness of the forward order management state and the reverse order management state by calling a flow engine, sends the necessary business information of the order to the MetaQ server in a message mode, and returns the received order state information to the flow engine by the MetaQ server to execute the scheduling of the order business operation by the flow engine.
In this embodiment, the flow engine performs corresponding processing on the order according to the order status, and drives the order to be converted into the next status or repeatedly performs the current status according to the result of the order processing after the execution is completed, thereby completing the scheduling circulation process of the order.
In this embodiment, the flow engine controls the change of the order status node, it sends the necessary service information of the order to the MetaQ server in a message manner, then the MetaQ server returns the received order status information to the flow engine, the flow engine performs scheduling of service operation, after successful execution, the order will enter a new status, and this status information will be asynchronously driven by the flow engine again, so that the whole life cycle process from order taking to delivery is completed.
In this embodiment, a MetaQ message middleware is introduced as a core of a state conversion driver, and is connected with an order flow subsystem, so that an order state conversion link is clear and configurable, and the reliable asynchronous communication capability provided by the message middleware between different order systems can be reduced, so that the coupling degree between the systems is reduced, and the whole system has high expandability and high availability.
In the embodiment, the MetaQ message middleware is introduced, so that the utilization rate of a plurality of servers supporting the order management system is higher, and the performance of the whole system is directly improved.
The order finite state machine adopts a stateMachinenode to define an order state node, acquires all attributes of the state machine node, acquires order data through order parameters transmitted by the order management system BMS and executes business logic of corresponding orders.
In this embodiment, the order finite state machine is based on finite state machine design, and combines the characteristics of Spring, so that the combination of the order finite state machines can be easily completed through xml writing, and the method is high in expandability and configurable.
In this embodiment, an order finite state machine is used to define an order state node, the order finite state machine is connected with the reverse order management state, a refund and return information sent by other platforms and a refund operation actively initiated by a user are obtained, when the order finite state machine monitors the refund information or a merchant manually initiates the refund operation in the system, the system generates a corresponding refund bill according to the original order, and after checking the refund bill, the warehouse is informed to initiate the refund operation to generate a corresponding refund and warehouse entry bill to help complete the refund operation.
The order state node adopts a layering module to be responsible for specific order circulation information, and the order circulation information interacts a service layer and a dao layer data through a JFinal frame to obtain conversion, adaptation and data encapsulation of order data.
In this embodiment, the order circulation information is one of the core systems of the order management system, and is responsible for managing the life cycle of the order in the system, when the order enters the order management system, the order circulation module takes over the change of the state of the order circulation module and finally enters the shipping process, and the order circulation module depends on the message middleware and the dispatching center in design to complete a specific order dispatching process.
The order circulation information obtains the latest order information according to parameters transmitted by the order management system BMS, obtains a finite state machine corresponding to the order from the order finite state machine according to the order information, obtains corresponding state nodes according to the obtained finite state machine model, and executes state behaviors.
In this embodiment, an order finite state machine is used to drive the order lifecycle, to asynchronously implement the whole lifecycle, and to decouple between different nodes so that different orders can have specific circulation links in different scenarios without causing a large amount of modification to the system.
The application realizes conversion among a forward order management state, a reverse order management state and an order circulation state by utilizing the SaaS mode, ensures the configurability and high performance of order circulation, ensures that a user can perform certain management work on orders, ensures that the order management is simpler and reduces repeated operation, ensures the state conversion of the orders in the process from receiving the orders to delivering the orders according to the order circulation state, ensures that the orders can be slowly digested by the system without instantly crushing the whole system when the orders are greatly promoted by using the JFINA frame, ensures the stability, improves the system performance, improves the working efficiency of the user by using the whole order management method, reduces repeated work, improves the circulation efficiency of the orders and realizes the configurability of order circulation links.
The above embodiments are only exemplary embodiments of the present application and are not intended to limit the present application, the scope of which is defined by the claims. Various modifications and equivalent arrangements of this application will occur to those skilled in the art, and are intended to be within the spirit and scope of the application.
Claims (8)
1. The e-commerce ordering management method based on cloud data analysis is characterized by comprising the following steps of:
step S1, acquiring order data by utilizing a cloud platform, converting the order data from a receiving state to a delivery state through a SaaS mode, and setting the SaaS mode into a forward order management state, a reverse order management state and an order circulation state;
s2, acquiring order receiving data from a cloud platform through the forward order management state, managing shipping operation through an order receiving data time sequence, enabling the reverse order management state to take effect when the order receiving data is abnormal, and carrying out return and exchange operation on the order data;
and S3, introducing a state machine module according to the effectiveness of the forward order management state and the reverse order management state, and serially connecting the whole e-commerce order state dispatching order circulation information through the state machine module, wherein the order circulation information is accessed into a cloud platform through a JFinal frame according to the order circulation state to optimize distribution logistics.
2. The method for e-commerce ordering management based on cloud data analysis of claim 1, wherein in the step S1, the SaaS mode data terminal mainly comprises a cloud platform database and an Opensearch search engine, the cloud platform database stores order data in a Mysql database, and the Opensearch search engine constructs a two-dimensional array as a data index structure for rapidly searching the order data.
3. The electronic commerce ordering management method based on cloud data analysis according to claim 2, wherein an order system call link is monitored by an eagle eye server by utilizing the data index structure, the eagle eye server acquires call chain relations of the same order service request in all systems by collecting and analyzing log embedded points in different order systems, and the forward order management state and the reverse order management state are related by the call chain relations;
the reverse order management state configures a reverse architecture into a facade layer, a service layer, a core layer and a dao layer through an order management system BMS, the facade layer adopts an appearance model to define a high-level interface to be connected with a multi-order platform, the service layer is specifically connected with the multi-order platform, the core layer is relied on to process order service, the order service is packaged into an object-oriented database interface through the dao layer, and the database interface is connected with a cloud platform to execute order operation.
4. The method for e-commerce order management based on cloud data analysis of claim 3, wherein reverse orders of the order management system BMS are created by using the core layer, return information is created by using a SaveRefundOrder script, return information is audited and processed by the aid script, the order management system BMS link is called to create a return order, the core layer is connected with each state node in series in an xml configuration mode to form a complete order finite state machine, and the order finite state machine modifies order data and states by packaging the order state nodes.
5. The method for electronic commerce order management based on cloud data analysis as recited in claim 4, wherein said order finite state machine uses MetaQ message middleware to drive and modify order status, controls validity of forward order management status and reverse order management status by calling flow engine, and sends necessary service information of order to MetaQ server in message mode, and the MetaQ server returns received order status information to flow engine, and performs scheduling of order service operation by said flow engine.
6. The method for e-commerce ordering management based on cloud data analysis of claim 4, wherein the order finite state machine defines an order state node by using statemachine node, obtains all attributes of the state machine node, obtains order data through order parameters transmitted by the order management system BMS, and executes business logic of a corresponding order.
7. The method for e-commerce ordering management based on cloud data analysis of claim 6, wherein the order state node adopts a layering module to take charge of specific order circulation information, and the order circulation information exchanges service layer data with dao layer data through a JFinal framework to obtain conversion, adaptation and data encapsulation of order data.
8. The method for electronic commerce and order management based on cloud data analysis of claim 7, wherein the order circulation information obtains the latest order information according to parameters transmitted by an order management system BMS, obtains a finite state machine corresponding to an order from the order finite state machine according to the order information, obtains a corresponding state node according to the obtained finite state machine model, and executes state behavior.
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