CN115730875A

CN115730875A - Order data processing method, device, equipment and storage medium

Info

Publication number: CN115730875A
Application number: CN202211463630.3A
Authority: CN
Inventors: 王芬; 杨春鹏
Original assignee: Shanghai Fengyun Network Technology Co ltd
Current assignee: Shanghai Fengyun Network Technology Co ltd
Priority date: 2022-11-22
Filing date: 2022-11-22
Publication date: 2023-03-03

Abstract

The invention relates to the technical field of logistics, and provides a method, a device, equipment and a storage medium for processing order data, which are used for effectively guaranteeing the safety of the order data. The order data processing method comprises the following steps: acquiring order data to be processed, triggering a node verification task, and performing node verification on the order data to be processed; if the node passes the verification, triggering a wind control verification task, and performing wind control verification on the order data to be processed to obtain target item data after initial verification; triggering a target item checking task, and performing target item checking on the initially checked target item data to obtain checked target item data; and executing the corresponding target item operation task based on the verified target item data.

Description

Order data processing method, device, equipment and storage medium

Technical Field

The present invention relates to the field of logistics technologies, and in particular, to a method, an apparatus, a device, and a storage medium for processing order data.

Background

With the development of internet technology and business, the logistics industry has more and more order data, and the management demand of order data is also improved, for example, the rapid processing of order allocation.

The existing order data processing mode has the problems of re-reading accounting and clearing, error of order transfer objects, error of order amount data and the like, the development and maintenance cost consumption of the difference processing configuration logic of complex logic is huge, and further, the operations of order transfer, order withdrawal and the like in the later period cannot be effectively protected, so that the safety of order data cannot be effectively guaranteed.

Disclosure of Invention

The invention provides a method, a device, equipment and a storage medium for processing order data, which are used for effectively guaranteeing the safety of the order data.

The first aspect of the present invention provides a method for processing order data, including:

acquiring order data to be processed, triggering a node checking task, and carrying out node checking on the order data to be processed;

if the node passes the verification, triggering a wind control verification task, and performing wind control verification on the order data to be processed to obtain target item data after initial verification;

triggering a target item checking task, and performing target item checking on the initially checked target item data to obtain checked target item data;

and executing the corresponding target item operation task based on the checked target item data.

Optionally, in a first implementation manner of the first aspect of the present invention, the acquiring order data to be processed and triggering a node verification task to perform node verification on the order data to be processed includes:

acquiring order transfer data based on a preset message queue, and carrying out security detection on the order transfer data to obtain order data to be processed;

and performing multiple verification on the order data to be processed based on preset node verification logic and a node verification algorithm, wherein the node verification logic comprises anti-repetition verification logic, anti-concurrency verification logic and state verification logic.

Optionally, in a second implementation manner of the first aspect of the present invention, the performing multiple checks on the order data to be processed based on preset node audit logic and a node check algorithm, where the node audit logic includes anti-duplicate check logic, anti-concurrent check logic, and state check logic, and includes:

screening and extracting the order data to be processed based on preset node auditing logic to obtain order data, bill data to be verified, user service data, batch data to be verified and state data to be verified, wherein the node auditing logic comprises anti-repetition verifying logic, anti-concurrence verifying logic and state verifying logic;

based on the anti-repeat checking logic and a preset node checking algorithm, comparing and analyzing the order data with preset historical order data, comparing and analyzing the bill data to be checked with preset historical bill data, and executing an order repeat detection task based on the user service data;

performing data locking processing on the order data to be processed based on the anti-concurrency check logic and the batch data to be checked;

and carrying out state consistency check on the state data to be checked based on the state check logic.

Optionally, in a third implementation manner of the first aspect of the present invention, if the node verification passes, the triggering a wind control verification task, and performing wind control verification on the to-be-processed order data to obtain target item data after initial verification includes:

if the node passes the verification, generating order data corresponding to the target item based on the to-be-processed order data to obtain the order data of the target item, and triggering a wind control verification task;

performing multiple checking on the order data of the target item based on preset wind control checking logic, wherein the wind control checking logic comprises anti-repetition checking logic, state checking logic, back calculation checking logic and limitation checking logic;

and if the multiple checks pass, determining the target item order data as the initially checked target item data.

Optionally, in a fourth implementation manner of the first aspect of the present invention, the triggering a target item checking task, and performing target item checking on the initially checked target item data to obtain checked target item data includes:

triggering a target item checking task, and classifying and extracting the initially checked target item data based on preset target item checking logic to obtain target item user data, user amount data and reinitiation data, wherein the target item checking logic comprises user checking logic, amount data checking logic and reinitiation checking logic;

calling a preset target item checking algorithm, carrying out preset value analysis on the target item user data based on the user checking logic, carrying out setting item analysis on the user money amount data based on the money amount data checking logic, and carrying out proofreading analysis on the reinitiation data based on the reinitiation checking logic;

and if the preset value analysis is passed, the set item analysis is passed and the proofreading analysis is passed, determining the initially verified target item data as verified target item data.

Optionally, in a fifth implementation manner of the first aspect of the present invention, the executing a corresponding target item operation task based on the verified target item data includes:

calling a preset monitoring pool to monitor the verified target item data in a target time period based on the target item operation task to obtain monitored target item data;

and safely storing the monitored target item data, and updating order data based on the monitored target item data.

Optionally, in a sixth implementation manner of the first aspect of the present invention, the invoking a preset monitoring pool to perform target time period monitoring on the verified target item data based on the target item operation task to obtain monitored target item data includes:

writing the verified target item data into a preset monitoring pool based on the target item operation task;

when the monitoring pool monitors the end moment of a target time interval, acquiring target time interval order data, wherein the target time interval order data is used for indicating verified order data of a preset time interval after the order generation time of the verified target item data;

comparing and analyzing the verified target item data in the monitoring pool with the target time interval order data;

and if the verified target item data and the target time interval order data in the monitoring pool are not repeated, determining the verified target item data as the monitored target item data.

A second aspect of the present invention provides an order data processing apparatus, including:

the node checking module is used for acquiring order data to be processed, triggering a node checking task and carrying out node checking on the order data to be processed;

the wind control verification module is used for triggering a wind control verification task if the node passes the verification, and performing wind control verification on the order data to be processed to obtain target item data after initial verification;

the target item checking module is used for triggering a target item checking task and carrying out target item checking on the initially checked target item data to obtain checked target item data;

and the execution module is used for executing the corresponding target item operation task based on the checked target item data.

Optionally, in a first implementation manner of the second aspect of the present invention, the node checking module includes:

the safety detection unit is used for acquiring order transfer data based on a preset message queue and carrying out safety detection on the order transfer data to obtain order data to be processed;

and the multi-checking unit is used for performing multi-checking on the order data to be processed based on preset node checking logic and a node checking algorithm, wherein the node checking logic comprises anti-repetition checking logic, anti-concurrency checking logic and state checking logic.

Optionally, in a second implementation manner of the second aspect of the present invention, the multiple checking unit is specifically configured to:

Optionally, in a third implementation manner of the second aspect of the present invention, the wind control verification module is specifically configured to:

performing multiple checking on the target item order data based on preset wind control checking logic, wherein the wind control checking logic comprises anti-repetition checking logic, state checking logic, back calculation checking logic and limitation checking logic;

and if the multiple checks are passed, determining the target item order data as the initially checked target item data.

Optionally, in a fourth implementation manner of the second aspect of the present invention, the target item checking module is specifically configured to:

Optionally, in a fifth implementation manner of the second aspect of the present invention, the execution module includes:

the monitoring unit is used for calling a preset monitoring pool to monitor the verified target item data in a target time period based on the target item operation task to obtain the monitored target item data;

and the updating unit is used for safely storing the monitored target item data and updating order data based on the monitored target item data.

Optionally, in a sixth implementation manner of the second aspect of the present invention, the monitoring unit is specifically configured to:

when the monitoring pool monitors the end time of a target time period, obtaining target time period order data, wherein the target time period order data are used for indicating verified order data of a preset time period after the order generation time of the verified target item data;

and if the verified target item data and the target time period order data in the monitoring pool are not repeated, determining the verified target item data as the monitored target item data.

A third aspect of the present invention provides an apparatus for processing order data, including: a memory and at least one processor, the memory having stored therein a computer program; the at least one processor calls the computer program in the memory to cause the processing device of the order data to execute the processing method of the order data.

A fourth aspect of the present invention provides a computer-readable storage medium having stored therein a computer program which, when run on a computer, causes the computer to execute the above-described order data processing method.

In the technical scheme provided by the invention, order data to be processed are obtained, a node checking task is triggered, and node checking is carried out on the order data to be processed; if the node passes the verification, triggering a wind control verification task, and performing wind control verification on the order data to be processed to obtain target item data after initial verification; triggering a target item checking task, and carrying out target item checking on the initially checked target item data to obtain the checked target item data; and executing the corresponding target item operation task based on the checked target item data. In the embodiment of the invention, by carrying out node verification, wind control verification and target item verification on the order data to be processed, the problem of disorder is effectively avoided, the operation of the target item operation task can be effectively protected, and the safety of the order data is further effectively ensured.

Drawings

FIG. 1 is a schematic diagram of an embodiment of a method for processing order data according to an embodiment of the present invention;

FIG. 2 is a schematic diagram of another embodiment of the order data processing method in the embodiment of the present invention;

FIG. 3 is a schematic diagram of an embodiment of an apparatus for processing order data according to an embodiment of the present invention;

FIG. 4 is a schematic diagram of another embodiment of an apparatus for processing order data according to an embodiment of the present invention;

fig. 5 is a schematic diagram of an embodiment of an apparatus for processing order data according to the embodiment of the present invention.

Detailed Description

The embodiment of the invention provides a method, a device, equipment and a storage medium for processing order data, which effectively ensure the safety of the order data.

The terms "first," "second," "third," "fourth," and the like in the description and in the claims, as well as in the drawings, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It will be appreciated that the data so used may be interchanged under appropriate circumstances such that the embodiments described herein may be implemented in other sequences than those illustrated or described herein. Moreover, the terms "comprises," "comprising," or "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.

For convenience of understanding, a specific flow of an embodiment of the present invention is described below, and referring to fig. 1, an embodiment of a method for processing order data according to an embodiment of the present invention includes:

101. and acquiring the order data to be processed, triggering a node checking task, and performing node checking on the order data to be processed.

It is to be understood that the executing subject of the present invention may be a processing device of order data, and may also be a terminal or a server, which is not limited herein. The embodiment of the present invention is described by taking a server as an execution subject.

The server can obtain initial order data fed back by the business order system by sending a data acquisition request to a preset business order system, perform data cleaning on the initial order data to obtain the order data after the data cleaning, perform transfer processing on the order data after the data cleaning to obtain order data to be processed, immediately trigger a node verification task when the generation of the order data to be processed is detected, perform node verification on the order data to be processed based on the node verification task, wherein the node verification is multiple order approval node verifications, the order approval node verifications include anti-repeat verification, anti-concurrency verification and state verification, the anti-repeat verification, the anti-concurrency verification and the state verification are parallel execution, and if at least one of the anti-repeat verification, the anti-concurrency verification and the state verification is not passed, the node verification is not passed.

The anti-repetition verification comprises order verification, bill verification and user verification, wherein the order verification, the bill verification and the user verification are executed in parallel, and if at least one of the order verification, the bill verification and the user verification is not passed, the anti-repetition verification is not passed; the anti-concurrency check comprises the same user anti-concurrency check and the anti-concurrency check operated by different users at the same time, the same user anti-concurrency check and the anti-concurrency check operated by different users at the same time are executed in parallel, and if the same user anti-concurrency check or the anti-concurrency check operated by different users at the same time do not pass, the anti-concurrency check does not pass; the content of the state verification comprises the order auditing state in the verification batch and the settlement state of the bill. The implementation manner of the node verification may be similarity analysis, logic judgment, algorithm analysis, and the like, which is not limited herein.

And if the node check is not passed, the server writes the order data to be processed into the abnormal database, rechecks manually or through a preset rechecking mechanism, and executes a corresponding early warning mechanism.

102. And if the node passes the verification, triggering a wind control verification task, and performing wind control verification on the order data to be processed to obtain the target item data after the initial verification.

Wherein the target item is used to indicate a particular item in the order execution flow, such as a withdrawal. If the node check passes, target item data are generated based on the order data to be processed, the server triggers a wind control check task to perform multiple check on the target item data, the multiple check comprises anti-repetition check, state check, back calculation check and limitation check, the execution modes of the anti-repetition check, the state check, the back calculation check and the limitation check are parallel execution, and if at least one of the anti-repetition check, the state check, the back calculation check and the limitation check does not pass, the wind control check does not pass. The anti-repeated verification comprises order repeated verification and bill repeated verification, the execution modes of the order repeated verification and the bill repeated verification are parallel execution, and if at least one of the order repeated verification and the bill repeated verification fails, the anti-repeated verification fails; and the back calculation check is used for carrying out consistency analysis on the amount data obtained by back calculation and the amount data of the target item data, and the limit check is used for analyzing whether a plurality of orders with the same amount as the user exist in the target item data.

If the wind control verification is passed, determining the target item data as the target item data after the initial verification; and if the wind control verification fails, writing the target item data into an abnormal database, manually rechecking or rechecking through a preset rechecking mechanism, and executing a corresponding early warning mechanism.

103. And triggering a target item checking task, and carrying out target item checking on the initially checked target item data to obtain the checked target item data.

When the server monitors target item data after initial verification, a target item verification task is triggered, target item verification is conducted on the target item data after the initial verification, the target item verification comprises user verification, amount data verification and reinitiation verification, the execution modes of the user verification, the amount data verification and the reinitiation verification are parallel execution, if at least one of the user verification, the amount data verification and the reinitiation verification is not passed, the target item verification is not passed, the user verification is used for verifying whether the target item data after the initial verification is a preset value, the preset value is used for indicating that the same user of the same service only has one target item in one day, for example, the same user of the same service only can make a payment in one day (except for real-time payment services), the amount data verification is used for verifying whether a set item exists in the target item user data after the initial verification of the target item data after the initial verification, the set item is used for indicating that the same user only has one target item in the same amount on the same day, for example, the same user only has one payment order (without distinguishing services) on the same day, and the same user of the same day and the reinitiation of the order is used for reinitiation and whether the reinitiation verification is abnormal transaction reinitiation verification.

And if the target item passes the verification, determining the target item data after the initial verification as the verified target item data, if the target item does not pass the verification, writing the target item data after the initial verification into an abnormal database, manually rechecking or rechecking through a preset rechecking mechanism, and executing a corresponding early warning mechanism.

104. And executing the corresponding target item operation task based on the checked target item data.

The target item operation task may be a secure storage of data, a flow node operation of data, or other operations, and is not limited herein specifically, depending on the specific operation. The server can safely store the verified target item data and update the order based on the target item operation task, can recheck the verified target item data based on the target item operation task, and can monitor, safely store and update the order based on the target item operation task.

In the embodiment of the invention, by carrying out node verification, wind control verification and target item verification on the order data to be processed, the problem of disorder is effectively avoided, the operation of the target item operation task can be effectively protected, and the safety of the order data is further effectively ensured.

Referring to fig. 2, another embodiment of the method for processing order data according to the embodiment of the present invention includes:

201. and acquiring the order data to be processed, triggering a node verification task, and performing node verification on the order data to be processed.

Specifically, the server acquires order data to be processed and triggers a node verification task, and performs node verification on the order data to be processed, including: acquiring order transfer data based on a preset message queue, and carrying out security detection on the order transfer data to obtain order data to be processed; and performing multiple checks on the order data to be processed based on preset node checking logic and a node checking algorithm, wherein the node checking logic comprises anti-repetition checking logic, anti-concurrency checking logic and state checking logic.

The message queue is used for storing the message of the order data during the information transmission process of the logistics order data transmitted or generated at different times, and is not limited herein specifically, for example, the message queue may be a distributed message publishing and subscribing system kafka, an open source code message middleware Apache ActiveMQ, and a distributed, queue model message middleware rocktmq. And the server transfers the generated logistics order data and generates corresponding transfer data to obtain the order transfer data based on a preset message queue through a preset logistics service system. When the server detects that the logistics business system generates order transfer data, a preset safety detection mechanism is called to perform safety detection on the order transfer data in the message queue so as to ensure that the order transfer data (to-be-processed order data) is complete and the data environment is safe, and therefore the to-be-processed order data is obtained.

The node Check Algorithm is used to indicate a Check Algorithm for node checking the order data to be processed, such as a checksum Algorithm, a foreign domain Check Algorithm, a Cyclic Redundancy Check (CRC), and an information-summary Algorithm (Message-Digest Algorithm 5, md5), and the specific Algorithm is not limited herein. The node verification algorithm may be one or more than one algorithm for verification, for example, the node verification algorithms based on the anti-duplication verification logic, the anti-concurrency verification logic and the state verification logic are all the same, or the node verification algorithms based on the anti-duplication verification logic, the anti-concurrency verification logic and the state verification logic are all different, or at least two algorithms among the node verification algorithms based on the anti-duplication verification logic, the anti-concurrency verification logic and the state verification logic are different.

By means of multiple checks of anti-repetition check, anti-concurrency check and state check on the order data to be processed, accuracy of the order data to be processed is improved, and a foundation is improved for safety of execution of subsequent business operation tasks.

Specifically, the server performs multiple checks on the order data to be processed based on preset node check logic and a node check algorithm, where the node check logic includes anti-duplication check logic, anti-concurrency check logic, and state check logic, and includes: based on preset node auditing logics, screening and extracting order data to be processed to obtain order data, bill data to be verified, user service data, batch data to be verified and state data to be verified, wherein the node auditing logics comprise anti-repetition verification logics, anti-concurrency verification logics and state verification logics; based on the anti-repeat verification logic and a preset node verification algorithm, comparing and analyzing order data with preset historical order data, comparing and analyzing bill data to be verified with preset historical bill data, and executing an order repeat detection task based on user service data; performing data locking processing on the order data to be processed based on the anti-concurrency check logic and the batch data to be checked; and performing state consistency check on the state data to be checked based on the state check logic.

The checking execution mode of the anti-repetition checking logic, the anti-concurrency checking logic and the state checking logic is a parallel execution mode, namely checking based on the anti-repetition checking logic, the anti-concurrency checking logic and the state checking logic is executed simultaneously, the sequence of the execution step process does not represent the execution sequence, namely' based on the anti-repetition checking logic and a preset node checking algorithm, comparing and analyzing order data and preset historical order data, comparing and analyzing the bill data to be checked and the preset historical bill data, and executing an abnormal detection task based on user service data; performing data locking processing on the order data to be processed based on the anti-concurrency check logic and the batch data to be checked; the sequential expression of carrying out state consistency check on the state data to be checked based on the state check logic does not represent the execution sequence of the state data, and the concurrent check and the state check are executed while the anti-repetition check is executed for parallel execution. The anti-duplication check logic, the anti-concurrency check logic, the state check logic and the node check algorithm can be written into multiple threads, and parallel processing is carried out through the multiple threads.

The server can call a preset classifier to classify the order data to be processed and extract the classified order data to be processed, so that order data, bill data to be verified, user service data, batch data to be verified and state data to be verified are obtained; or, the server may also invoke a preset filter, and filter and extract the to-be-processed order data based on the tag, the index, the boolean value, or the condition, so as to obtain the order data, the to-be-verified bill data, the user service data, the to-be-verified batch data, and the to-be-verified state data, where the filter may be, for example: loc, iloc.

Wherein the order data is used to indicate data of the generated logistics order. The bill data to be verified is used for indicating the transaction money data corresponding to the logistics order. The user service data is used for indicating the logistics order data of the same service of each user.

The server compares and analyzes the order data with preset historical order data based on the anti-repetition check logic and a preset node check algorithm to check whether the order data and the historical order data are repeated or not, if the order data and the historical order data are repeated, the order data to be processed are stored in an abnormal database and are confirmed through manual review, and if the order data and the historical order data are not repeated, the order data are not processed, and the next operation is executed. The server compares and analyzes the bill data to be verified and preset historical bill data based on anti-duplication verification logic and a preset node verification algorithm to verify whether the bill data to be verified and the historical bill data are duplicated, if the bill data to be verified and the historical bill data are duplicated, the order data to be processed is stored in an abnormal database and is confirmed through manual review, if the bill data to be verified and the historical bill data are not duplicated, the order data to be processed is not processed, and the next operation is executed, wherein the historical bill data does not include the bill data which is subject to the bill revocation and the bill data which is subject to the payment failure. The server executes an order repetition detection task based on user service data based on anti-repetition check logic and a preset node check algorithm to check whether multiple orders exist in the same service (except a specifically set service, such as a service for real-time payment) of the same user on the same day, if the user service data does not contain repeated data, the processing is not carried out, the next operation is executed, and if the user service data contains repeated data, the order data to be processed is stored in an abnormal database and is confirmed through manual review. By carrying out multiple checks of order checking, bill checking and user checking on the order data to be processed, the accuracy of repeated checking prevention of the order data to be processed is improved.

The batch data to be verified is used for indicating data of orders of all batches, the batch data to be verified comprises same-user batch data and different-user batch data, the same-user batch data is used for indicating order data of the same batch of the same user, and the different-user batch data is used for indicating the order data of the same batch of different users. Based on the concurrency prevention verification logic and the batch data to be verified, the server can perform data locking processing on the order data to be processed, and the data locking processing can be understood as follows: the server performs data locking processing on the to-be-processed order data based on the anti-concurrency check logic and the same-user batch data in the to-be-checked batch data, namely after the approval is executed (including passing or rejecting), locking is performed on the to-be-processed order data of the batch, a user can not perform click triggering of approval operation (passing or rejecting) on the batch of orders, and the user is prevented from clicking to generate the order data of a plurality of audit batches; the server performs data locking processing on the to-be-processed order data based on the anti-concurrency check logic and different user batch data in the to-be-checked batch data, namely, for the same batch, locking the order data of the batch, and if the user performs click triggering of approval operation (passing or refusing), other users cannot perform click triggering of approval operation (passing or refusing) on the order data of the batch. For example, based on the concurrency prevention verification logic and the batch data to be verified, the data locking processing performed on the order data to be processed specifically includes: the method comprises the steps of performing SQL (structured query language) statement locking processing and record locking on order data to be processed based on an anti-concurrency check logic, batch data to be checked and a preset lock level, wherein the lock level comprises at least one of a library level, a table level, a page level and a row level, further performing SQL statement locking processing on the order data to be processed based on the anti-concurrency check logic, the batch data to be checked and the preset lock level, and performing record locking processing on the order data to be processed after the SQL statement locking processing, or classifying the order data to be processed based on the anti-concurrency check logic and the batch data to be checked by a server to obtain first data to be locked and second data to be locked, wherein the first data to be locked is used for indicating batch data of the same user, the second data to be locked is used for indicating batch data of different users, the SQL statement locking processing is performed on the first data to be locked based on the preset lock level, and the record locking processing is performed on the second data to be locked. Through the data locking processing of the batch data to be verified, the problems of order repetition and bill repetition caused by the fact that multiple batches of orders are generated in the same batch due to concurrence are avoided.

The to-be-verified state data is used for indicating the state data of the current link and the previous link of the order, the to-be-verified state data comprises first state data and second state data, the first state data is used for indicating the state of the order in the same batch, the second state data is used for indicating the state of the order associated with the bill in the same batch, the state verification of the to-be-verified state data comprises but is not limited to the state verification of business primary review, business rechecking, exception handling, settlement primary review, settlement rechecking, cashier primary review and cashier rechecking, wherein the state verification of the business primary review can be used for verifying whether the previous link is the refusal or not of the business rechecking, and the state verification of the cashier primary review can be used for verifying whether the previous link is the business rechecking or the exception handling or not. The server performs state consistency check on the state data to be checked based on the state check logic, which can be understood as follows: the server respectively carries out state consistency check on first state data and second state data in the state data to be checked on the basis of state check logic, wherein the state consistency check of the first state data is that whether the check states of orders in the current link and the order check states of the previous link in the same (checking) batch are consistent or not; the state consistency check of the second state data is to check whether the settlement state of the bills in the same batch of the current link and the previous link is in settlement and whether the settlement state corresponding to the bills is applied. The state consistency check is carried out on the state data to be checked, so that the accuracy of the state check is improved.

It should be noted that, if the node check fails, the server writes the order data to be processed into the abnormal database, performs a recheck manually or by using a preset recheck mechanism, and executes a corresponding early warning mechanism.

202. And if the node passes the verification, triggering a wind control verification task, and performing wind control verification on the order data to be processed to obtain the target item data after the initial verification.

Specifically, if the node passes the verification, the server generates order data corresponding to the target item based on the order data to be processed to obtain the order data of the target item, and triggers a wind control verification task; performing multiple verification on the order data of the target item based on preset wind control verification logic, wherein the wind control verification logic comprises anti-repetition verification logic, state verification logic, back calculation verification logic and limitation verification logic; and if the multiple checks pass, determining the target item order data as the initially checked target item data.

If the node passes the verification, the server generates order data corresponding to a target item based on the order data to be processed to obtain the order data of the target item and triggers a wind control verification task, wherein the target item is used for indicating a specific item in an order execution flow, such as payment; and classifying the target item order data based on preset wind control verification logic to obtain a target item order number, target item bill data, target item order state data and target item order amount data. Acquiring a historical target item order number and historical target item bill data, comparing the target item order number with the historical target item order number based on an anti-repetition check logic and a wind control check algorithm in a preset wind control check logic, if the target item order number is repeated with the historical target item order number, storing the target item order data into an abnormal database, and confirming through manual review, if the target item order number is not repeated with the historical target item order number, not processing, and executing the next operation; and comparing the target item bill data with historical target item bill data, if the target item bill data is repeated with the historical target item bill data, storing the target item order data in an abnormal database, and confirming through manual review, if the target item bill data is not repeated with the historical target item bill data, not processing, and executing the next operation.

And the server judges whether the state in the target item order state data is consistent and whether the state is approved or not based on the state check logic, if the state in the target item order state data is consistent and the state is approved, the server does not process the order and executes the next operation, and if the state in the target item order state data is not consistent and/or the state is not approved, the server stores the target item order data into an abnormal database and confirms the data through manual approval.

And the server calls a preset back calculation formula to calculate based on the back calculation check logic to obtain back calculation amount data, judges whether the target item order amount data is consistent with the back calculation amount data or not, does not process the target item order amount data if the target item order amount data is consistent with the back calculation amount data, executes the next operation, stores the target item order amount data into an abnormal database if the target item order amount data is inconsistent with the back calculation amount data, and confirms the target item order amount data through manual auditing. Wherein, the preset back calculation formula is commission = payable (total bill amount) -personal assumed amount, and the channel cost = business side payment amount-personal real-income amount.

And the server calls a preset decision tree based on the restriction check logic to classify the target item order amount data so as to judge whether a plurality of orders with the same user amount value exist in the target item order amount data in the same day, if so, the target item order amount data is stored in an abnormal database and is confirmed through manual review, and if not, the target item order amount data is not processed and the next operation is executed.

And if at least one item in the multiple checks does not pass, writing the order data of the target item into an abnormal database, manually rechecking or rechecking through a preset rechecking mechanism, and executing a corresponding early warning mechanism. And the safety of order data is further ensured by carrying out multiple wind control verification.

It should be noted that the wind control Check Algorithm is used for a Check Algorithm for instructing the wind control Check of the target item on the order data to be processed, for example, a checksum Algorithm, a foreign domain Check Algorithm, a Cyclic Redundancy Check (CRC) Algorithm, and a Message-Digest Algorithm (md5), and the specific Algorithm is not limited herein. The wind control verification algorithm may be one or more than one algorithm for verification, for example, the verification algorithms based on the anti-duplication verification logic, the state verification logic, the back-calculation verification logic and the restriction verification logic are all the same, or the verification algorithms based on the anti-duplication verification logic, the state verification logic, the back-calculation verification logic and the restriction verification logic are all the same.

203. And triggering a target item checking task, and carrying out target item checking on the initially checked target item data to obtain the checked target item data.

Specifically, the server triggers a target item checking task, and based on preset target item checking logic, performs classification extraction on target item data after initial checking to obtain target item user data, user amount data and reinitiation data, wherein the target item checking logic comprises user checking logic, amount data checking logic and reinitiation checking logic; calling a preset target item checking algorithm, carrying out preset value analysis on target item user data based on user checking logic, carrying out set item analysis on user money amount data based on money amount data checking logic, and carrying out proofreading analysis on re-initiated data based on re-initiated checking logic; and if the preset value analysis is passed, the set item analysis is passed and the proofreading analysis is passed, determining the target item data after the initial proofreading as the verified target item data.

The target item checking Algorithm is used for indicating a checking Algorithm for checking a target item on target item data after initial checking, for example, a checksum Algorithm, a different domain checking Algorithm, a Cyclic Redundancy Check (CRC) Algorithm, and an information-summary Algorithm (Message-Digest Algorithm 5, md5), and the specific Algorithm is not limited herein. The target item checking algorithm may be one or more than one algorithm for checking, for example, the checking algorithms based on the user checking logic, the amount data checking logic and the reinitiation checking logic are all the same, or the checking algorithms based on the user checking logic, the amount data checking logic and the reinitiation checking logic are all different.

The server calls a preset target item checking algorithm after obtaining target item user data, user amount data and reinitiation data, and performs preset value analysis on the target item user data based on user checking logic, namely whether the target item user data after initial checking is a preset value or not is analyzed, wherein the preset value is used for indicating that the same user has only one target item in one day in the same service, for example, the same user can only have one money (except for a real-time payment service) in one day in the same service, if so, the server does not process the money, executes the next operation, and if not, the server stores the target item data after initial checking into an abnormal database and confirms the data through manual checking.

The server analyzes the setting item of the user amount data based on the amount data check logic, namely, whether the setting item exists in the target item user data after initial check is analyzed, wherein the setting item is used for indicating that the same amount of money of the same user only has one target item on the same day, for example, only one withdrawal order (service is not distinguished) can be made on the same amount of money of the same user on the same day, if yes, the server does not process the withdrawal order, executes the next operation, and if not, the server stores the target item data after initial check into an abnormal database and confirms the data through manual audit.

The server performs proofreading analysis on the reinitiation data based on the reinitiation verification logic, namely judges whether the order is initiated again for abnormal transaction based on the reinitiation data, if so, executes the next operation, and if not, stores the target item data after the initial verification to an abnormal database and confirms the target item data through manual examination;

and if the preset value analysis is passed, the set item analysis is passed and the proofreading analysis is passed, determining the initially verified target item data as verified target item data. And if at least one of the preset value analysis is passed, the set item analysis is passed and the proofreading analysis is not passed, writing the initially verified target item data into an abnormal database, manually rechecking or rechecking through a preset rechecking mechanism, and executing a corresponding early warning mechanism. And the safety of order data is further ensured by carrying out multiple target item checks.

204. And calling a preset monitoring pool to monitor the verified target item data in a target time period based on the target item operation task to obtain the monitored target item data.

Specifically, the server calls a preset monitoring pool to monitor the verified target item data in a target time period based on the target item operation task, so as to obtain the monitored target item data, and the method includes: writing the verified target item data into a preset monitoring pool based on the target item operation task; when the monitoring pool monitors the end time of a target time period, obtaining target time period order data, wherein the target time period order data are used for indicating verified order data of a preset time period after the order generation time of the verified target item data; comparing and analyzing the verified target item data and the target time interval order data in the monitoring pool; and if the verified target item data and the target time interval order data in the monitoring pool are not repeated, determining the verified target item data as the monitored target item data.

The target time period order data is used for indicating verified order data in a preset time period after the order generation time of the verified target item data, and the verified order data refers to the order data after the node verification, the wind control verification and the target item verification, for example, the order generation time of the verified target item data is 2022.10.08 00, and the preset time period is 1 hour, the target time period order data is 2022.10.08 18-01.

The server writes the verified target item data into a preset monitoring pool based on the target item operation task, and sends a request to acquire target time interval order data when the server monitors the end moment of a target time interval through the monitoring pool; comparing and analyzing the verified target item data and the target time interval order data in the monitoring pool, specifically, comparing and analyzing by combining a knowledge graph and similarity, namely generating a first knowledge graph of the verified target item data and a second knowledge graph of the target time interval order data, calculating the similarity of the first knowledge graph and the second knowledge graph, if the similarity is greater than a preset value, the verified target item data and the target time interval order data are repeated, and if the similarity is less than or equal to the preset value, the verified target item data and the target time interval order data are not repeated; if the verified target item data and the target time interval order data in the monitoring pool are not repeated, determining the verified target item data in the monitoring pool as the monitored target item data; and if the verified target item data and the target time period order data in the monitoring pool are repeated, replacing and updating the verified target item data through the target time period order data to obtain the monitored target item data.

By monitoring the target time period of the verified target item data, the problem of data disorder caused by repeated and multiple data is avoided, the accuracy of the verified target item data is improved, and the safety of order data is effectively guaranteed.

It should be noted that, if the target item is not verified, the verified target item data is written into the abnormal database, and is manually rechecked or is rechecked through a preset rechecking mechanism, and a corresponding early warning mechanism is executed.

205. And carrying out safe storage on the monitored target item data, and updating order data based on the monitored target item data.

After obtaining the monitored target item data, the server encrypts the monitored target item data to obtain encrypted target item data, and stores the encrypted target item data to a preset block link point; or after the server obtains the monitored target item data, the monitored target item data is stored in a preset disaster tolerance center, so that data loss is avoided, and the safety of the data is guaranteed. And after the monitored target item data is safely stored, updating the order data of a preset order database based on the monitored target item data and/or the data of the next process node based on the monitored target item data. The storage safety of the monitored target item data and the effectiveness and safety of data processing are guaranteed.

With reference to fig. 3, the method for processing order data in the embodiment of the present invention is described above, and a processing apparatus for order data in the embodiment of the present invention is described below, where an embodiment of the processing apparatus for order data in the embodiment of the present invention includes:

the node checking module 301 is configured to acquire order data to be processed, trigger a node checking task, and perform node checking on the order data to be processed;

the wind control verification module 302 is configured to trigger a wind control verification task if the node verification passes, perform wind control verification on the order data to be processed, and obtain target item data after initial verification;

the target item checking module 303 is configured to trigger a target item checking task, perform target item checking on the initially checked target item data, and obtain checked target item data;

and the execution module 304 is configured to execute the corresponding target item operation task based on the checked target item data.

The function implementation of each module in the processing apparatus for order data corresponds to each step in the processing method embodiment of order data, and the functions and implementation processes thereof are not described in detail herein.

In the embodiment of the invention, by carrying out node verification, wind control verification, target time interval monitoring, safe storage and order data updating on order data to be processed, the disorder problem is effectively avoided, the operation of a target item operation task can be effectively protected, the data disorder problem caused by repeated and multiple data is avoided, the accuracy of the verified target item data is improved, the storage safety of the monitored target item data and the effectiveness and safety of data processing are ensured, and further the safety of the order data is effectively ensured.

Referring to fig. 4, another embodiment of the order data processing apparatus according to the embodiment of the present invention includes:

the node verification module 301 is configured to acquire order data to be processed, trigger a node verification task, and perform node verification on the order data to be processed;

the wind control verification module 302 is configured to trigger a wind control verification task if the node verification passes, and perform wind control verification on the order data to be processed to obtain target item data after initial verification;

an execution module 304, configured to execute a corresponding target item operation task based on the checked target item data;

the execution module 304 specifically includes:

a monitoring unit 3041, configured to call a preset monitoring pool to perform target time period monitoring on the verified target item data based on the target item operation task, so as to obtain monitored target item data;

an updating unit 3042, configured to securely store the monitored target item data, and update the order data based on the monitored target item data.

Optionally, the node checking module 301 includes:

the security detection unit 3011 is configured to obtain order transfer data based on a preset message queue, and perform security detection on the order transfer data to obtain order data to be processed;

and a multiple checking unit 3012, configured to perform multiple checking on order data to be processed based on preset node checking logic and a node checking algorithm, where the node checking logic includes anti-repetition checking logic, anti-concurrency checking logic, and state checking logic.

Optionally, the multiple checking unit 3012 may be further specifically configured to:

based on preset node auditing logic, screening and extracting order data to be processed to obtain order data, bill data to be verified, user service data, batch data to be verified and state data to be verified, wherein the node auditing logic comprises anti-duplication verifying logic, anti-concurrence verifying logic and state verifying logic;

based on the anti-repetition verification logic and a preset node verification algorithm, comparing and analyzing order data with preset historical order data, comparing and analyzing bill data to be verified with preset historical bill data, and executing an order repetition detection task based on user service data;

and performing state consistency check on the state data to be checked based on the state check logic.

Optionally, the wind control verification module 302 may be further specifically configured to:

if the node passes the verification, generating order data corresponding to the target item based on the order data to be processed to obtain the order data of the target item, and triggering a wind control verification task;

performing multiple verification on the order data of the target item based on preset wind control verification logic, wherein the wind control verification logic comprises anti-repetition verification logic, state verification logic, back calculation verification logic and limitation verification logic;

Optionally, the target item checking module 303 may be further specifically configured to:

triggering a target item checking task, and classifying and extracting target item data after initial checking based on preset target item checking logic to obtain target item user data, user amount data and reinitiation data, wherein the target item checking logic comprises user checking logic, amount data checking logic and reinitiation checking logic;

calling a preset target item checking algorithm, carrying out preset value analysis on target item user data based on user checking logic, carrying out set item analysis on user money amount data based on money amount data checking logic, and carrying out proofreading analysis on re-initiated data based on re-initiated checking logic;

and if the preset value analysis is passed, the set item analysis is passed and the proofreading analysis is passed, determining the target item data after the initial proofreading as the verified target item data.

Optionally, the monitoring unit 3041 may be further specifically configured to:

comparing and analyzing the verified target item data and the target time interval order data in the monitoring pool;

The function implementation of each module and each unit in the processing device of order data corresponds to each step in the processing method embodiment of order data, and the function and implementation process thereof are not described in detail herein.

In the embodiment of the invention, by carrying out node verification, wind control verification, target time interval monitoring, safe storage and order data updating on the order data to be processed, the disorder problem is effectively avoided, the operation of the target item operation task can be effectively protected, the data disorder problem caused by repeated and multiple data is avoided, the accuracy of the verified target item data is improved, the storage safety of the monitored target item data and the effectiveness and safety of data processing are ensured, and further the safety of the order data is effectively ensured.

Fig. 3 and 4 describe the order data processing apparatus in the embodiment of the present invention in detail from the perspective of the modular functional entity, and the order data processing apparatus in the embodiment of the present invention is described in detail from the perspective of hardware processing.

Fig. 5 is a schematic structural diagram of an order data processing apparatus 500 according to an embodiment of the present invention, which may have a relatively large difference due to different configurations or performances, and may include one or more processors (CPUs) 510 (e.g., one or more processors) and a memory 520, and one or more storage media 530 (e.g., one or more mass storage devices) for storing applications 533 or data 532. Memory 520 and storage media 530 may be, among other things, transient or persistent storage. The program stored on the storage medium 530 may include one or more modules (not shown), each of which may include a series of computer program operations in the processing device 500 for order data. Still further, the processor 510 may be configured to communicate with the storage medium 530 to execute a series of computer program operations in the storage medium 530 on the processing device 500 for order data.

The order data processing apparatus 500 may also include one or more power supplies 540, one or more wired or wireless network interfaces 550, one or more input-output interfaces 560, and/or one or more operating systems 531, such as Windows Server, mac OS X, unix, linux, freeBSD, and the like. It will be appreciated by those skilled in the art that the order data processing apparatus configuration shown in fig. 5 does not constitute a limitation of the order data processing apparatus and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.

The present invention also provides an order data processing apparatus, including: a memory having a computer program stored therein and at least one processor, the memory and the at least one processor interconnected by a line; the at least one processor calls the computer program in the memory to cause the processing device of the order data to execute the steps in the processing method of the order data.

The present invention also provides a computer-readable storage medium, which may be a non-volatile computer-readable storage medium, and which may also be a volatile computer-readable storage medium, having stored thereon a computer program, which, when run on a computer, causes the computer to perform the steps of the method of processing order data.

It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.

The integrated unit, if implemented in the form of a software functional unit and sold or used as a separate product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes several computer programs to enable a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a read-only memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.

The above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; although the present invention has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims

1. A processing method of order data is characterized in that the processing method of order data comprises the following steps:

acquiring order data to be processed, triggering a node verification task, and performing node verification on the order data to be processed;

triggering a target item checking task, and carrying out target item checking on the initially checked target item data to obtain checked target item data;

2. The method for processing order data according to claim 1, wherein the acquiring order data to be processed and triggering a node check task to perform node check on the order data to be processed includes:

3. The order data processing method according to claim 2, wherein the multiple checks are performed on the order data to be processed based on a preset node audit logic and a node check algorithm, and the node audit logic includes an anti-duplication check logic, an anti-concurrency check logic, and a status check logic, and includes:

based on preset node auditing logic, screening and extracting the order data to be processed to obtain order data, bill data to be verified, user service data, batch data to be verified and state data to be verified, wherein the node auditing logic comprises anti-repetition verification logic, anti-concurrency verification logic and state verification logic;

4. The order data processing method according to claim 1, wherein if the node passes the verification, triggering a wind control verification task, performing wind control verification on the order data to be processed to obtain target item data after initial verification, including:

5. The method for processing order data according to claim 1, wherein the triggering a target item verification task and performing target item verification on the initially verified target item data to obtain verified target item data includes:

triggering a target item checking task, and based on preset target item checking logic, classifying and extracting the initially checked target item data to obtain target item user data, user amount data and reinitiation data, wherein the target item checking logic comprises user checking logic, amount data checking logic and reinitiation checking logic;

calling a preset target item checking algorithm, carrying out preset value analysis on the target item user data based on the user checking logic, carrying out setting item analysis on the user money data based on the money data checking logic, and carrying out proofreading analysis on the reinitiation data based on the reinitiation checking logic;

6. The method for processing order data according to any one of claims 1 to 5, wherein the executing the corresponding target item operation task based on the verified target item data comprises:

7. The order data processing method according to claim 6, wherein the step of calling a preset monitoring pool to monitor the verified target item data in a target time period based on the target item operation task to obtain the monitored target item data comprises:

8. An order data processing apparatus, characterized in that the order data processing apparatus comprises:

the node verification module is used for acquiring the order data to be processed, triggering a node verification task and performing node verification on the order data to be processed;

and the execution module is used for executing the corresponding target item operation task based on the verified target item data.

9. An apparatus for processing order data, comprising: a memory and at least one processor, the memory having stored therein a computer program;

the at least one processor invokes the computer program in the memory to cause a processing device of the order data to perform a processing method of order data according to any one of claims 1 to 7.

10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out a method of processing order data according to any one of claims 1 to 7.