CN113312387A - Service data verification method and device, computer equipment and storage medium - Google Patents

Service data verification method and device, computer equipment and storage medium Download PDF

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Publication number
CN113312387A
CN113312387A CN202110536578.9A CN202110536578A CN113312387A CN 113312387 A CN113312387 A CN 113312387A CN 202110536578 A CN202110536578 A CN 202110536578A CN 113312387 A CN113312387 A CN 113312387A
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data
service data
data source
memory
verifying
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张潇潇
李东
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Yuanguang Software Co Ltd
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Yuanguang Software Co Ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24—Querying
    • G06F16/245—Query processing
    • G06F16/24569—Query processing with adaptation to specific hardware, e.g. adapted for using GPUs or SSDs
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24—Querying
    • G06F16/245—Query processing
    • G06F16/2455—Query execution
    • G06F16/24564—Applying rules; Deductive queries
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24—Querying
    • G06F16/245—Query processing
    • G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
    • G06F16/2462—Approximate or statistical queries
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/12—Accounting
    • G06Q40/125—Finance or payroll

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  • Databases & Information Systems (AREA)
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  • Probability & Statistics with Applications (AREA)
  • Software Systems (AREA)
  • Mathematical Physics (AREA)
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Abstract

The application discloses a method and a device for verifying service data and a storage medium, and belongs to the field of computers. The checking method comprises the following steps: calling service data from a data source periodically; storing the called service data into a memory server; reading the service data from the memory server, and configuring a data object and an object attribute corresponding to the rule set according to the read service data; and verifying the data object according to the rule set. According to the method and the device, the service data are periodically loaded into the memory server according to the needs, so that the time occupied by the data connection pool and the repeated service data loading process are reduced, and the execution efficiency of data verification is improved.

Description

Service data verification method and device, computer equipment and storage medium
Technical Field
The present application relates to the field of computers, and in particular, to a method, a computer device, an apparatus, and a storage medium for verifying service data.
Background
In a financial information management system, a large amount of business data (for example, financial data) is generated, the business data is usually stored in a database, a rule execution engine reads all the business data from the database when verifying the business data, and after the business data is read, the business data is verified according to configured rules, long-time interaction with the database and execution of disk IO operation are required in a preparation stage of the business data, and a processing process is time-consuming and poor in performance.
Disclosure of Invention
In order to solve the above technical problems, the present application provides a method, a related apparatus, and a storage medium for verifying service data, which can reduce the processing time consumption of the service data verification and improve the processing performance.
In a first aspect, the present application provides a method for verifying service data, including:
calling service data from a data source periodically;
storing the called service data into a memory server;
reading the service data from the memory server, and configuring a data object and an object attribute corresponding to the rule set according to the read service data;
and verifying the data object according to the rule set.
In a second aspect, the present application provides a method for verifying service data, including:
the calling unit is used for periodically calling the service data from the data source;
the write-in unit is used for storing the called service data into the memory server;
the configuration unit is used for reading the service data from the memory server and configuring the data object and the object attribute corresponding to the rule set according to the read service data;
and the verifying unit is used for verifying the data object according to the rule set.
In another aspect, the present application provides an apparatus, which may implement the method for checking service data in the first aspect or the second aspect.
In one possible implementation manner, the structure of the apparatus includes a processor, a memory; the processor is configured to support the apparatus to perform corresponding functions in the application testing method. The memory is used for coupling with the processor, which holds the necessary programs (instructions) and/or data for the device. Optionally, the apparatus may further include a communication interface for supporting communication between the apparatus and other network elements.
In another possible implementation manner, the apparatus may include unit modules for performing corresponding actions in the above-described method.
In yet another possible implementation, the wireless communication device includes a processor and a transceiver, the processor is coupled to the transceiver, and the processor is configured to execute a computer program or instructions to control the transceiver to receive and transmit information; the processor is further configured to implement the above-described method when the processor executes the computer program or instructions.
Yet another aspect of the present application provides an apparatus, comprising: a memory and a processor; wherein the memory stores a set of program codes, and the processor is configured to call the program codes stored in the memory and execute the method of the aspects.
Yet another aspect of the present application provides a computer-readable storage medium having stored therein instructions, which when executed on a computer, cause the computer to perform the method of the above-described aspects.
Yet another aspect of the present application provides a computer program product containing instructions which, when run on a computer, cause the computer to perform the method of the above-described aspects.
According to the embodiment, when the service data in the data source needs to be verified, the service data is periodically called from the server, the called service data is stored in the memory server, then the service data configuration data object and the object attribute are read from the memory server, and the configured data object is verified to obtain the verification result.
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 is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a network structure diagram of a service data processing system according to an embodiment of the present application;
fig. 2 is a schematic flowchart of a method for verifying service data according to an embodiment of the present application;
FIGS. 3-9 are schematic diagrams of enhanced user interfaces according to embodiments of the present application;
FIG. 10 is a schematic view of another embodiment of an apparatus according to the present disclosure;
fig. 11 is another schematic structural diagram of an apparatus according to an embodiment of the present disclosure.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application. Meanwhile, in the description of the present application, the terms "first", "second", and the like are used only for distinguishing the description, and are not to be construed as indicating or implying relative importance. It will be apparent to one skilled in the art that the present application may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.
Referring to fig. 1, a network architecture diagram of a service data processing system provided for the prior art includes: the verification device 10, the memory server 11, and the data sources 121 to 12n, where the number of the data sources is n, n is an integer greater than or equal to 2, and the data source may be a relational database or a non-relational database. The verification device 10 and the memory server 11 can communicate with each other, the memory server 11 and each data source can communicate with each other, and the communication mode can be a wired mode or a wireless mode. It should be understood that the connection manner and number of each device in the service data processing system in fig. 1 are only for illustration and are not limiting to the present application.
The memory Server in the present application may be a Remote Dictionary Server (Remote Dictionary Server), and the structure of the memory Server may be a rack-mounted Server, a blade Server, a tower Server or a rack Server, and the like, and the Server may be an independent Server or a Server cluster composed of a plurality of servers.
The verification device in the present application includes but is not limited to: personal computers, tablet computers, handheld devices, in-vehicle devices, wearable devices, computing devices or other processing devices connected to a wireless modem, and the like.
In order to explain the technical solution described in the present application, the following description will be given by way of specific examples.
Referring to fig. 2, fig. 2 is a schematic flowchart of a method for verifying service data provided in the embodiment of the present application, where in the embodiment of the present application, the method includes:
s201, calling service data from a data source periodically.
The data source is a container for storing business data, the data source is a database capable of being used by a third party, the type of the database can be a relational database or a non-relational database, and a user can select one data source from a plurality of data sources through a user interface. The checking device is pre-configured with calling time information, and the calling time information comprises: and calling a time period and a calling period, wherein the verifying device periodically calls the service data from the data source in the calling time end according to the calling period. For example: the starting time of the calling time period is 1 month, 1 day and 0:00 minute in 2020, the calling period is 1 second, the expiration time of the calling time end is 1 month, 1 month and 3 days in 2020 and 0:00 minute, and the verifying device calls the service data from the data source in a cycle of 10 minutes each time in the configured calling time period. The data amount of each call of the verifying means may be determined according to the length of the call period, the total data amount, and the number of calls.
For example, referring to fig. 3, the present application is configured with a plurality of data sources in advance, the verification device selects one data source from the plurality of data sources through a user interface, the user interface includes a query date input box and a data source name input box, the query date input box is used for inputting a query date, for example: and after the user inputs the query date and the data source name and detects the clicking operation of the user on the query button, displaying a query result, wherein the query result comprises a serial number of the data source, the data source name, a data source code, a query command and keywords.
Furthermore, the newly added data source can be added to the existing data source set after the data source name, the data source code, the key word and the query command of the newly added data source are configured in the newly added data source in the existing data source.
For example, referring to the user interface shown in fig. 4, the user configures the data source name, the data source code, the keyword, and the query command of the newly added data source through the user interface, and then adds the newly added data source to the existing data source set in response to a single click operation on the determination button.
In a possible embodiment, the method for periodically calling service data from a data source further includes: the method comprises the steps of sending an API call request to a data source, and receiving service data sent by the data source in response to the API call request, wherein the API call request carries a data source name, a query command, a data source code and keywords, and the data source code represents a storage format adopted by data in a database.
The method and the device can configure the calling period based on the user interface. For example: referring to fig. 7 and 8, the user configures the start time for invoking the service data from the data source through the user interface as follows: 2021-04-2209:00:00, failure time 2021-05-3123: 00:00, the calling period is called every 1 hour.
The embodiment periodically loads the service data into the memory server, reads the required service data from the memory server according to the specific service requirement before the rule in the rule set is executed, and loads the required service data into the rule execution engine, so that the data loading efficiency can be improved, and the resource consumption required by repeated service data reading can be reduced.
S202, storing the called service data into a memory server.
The verification device stores the service data called each time into a memory server, and the memory server may be a redis server.
S203, reading the service data from the memory server, and configuring the data object and the object attribute corresponding to the rule set according to the read service data.
After the verifying device selects one rule set from the multiple rule sets, the service data is periodically read from the memory server, the period for reading the service data can be the same as the calling period in the step S201, then the data object and the object attribute in the service data are determined according to the selected rule set, and the service data is converted into the data matched with the selected rule set. For example: the verification device displays the user interface of fig. 9, the user interface including controls for a plurality of rule sets, the rule sets including: and the user selects one rule set after performing triggering operation on the control.
For example, referring to fig. 5 and fig. 6, which are schematic diagrams of a user interface for configuring data objects and object attributes according to the present application, where service data is financial data, and a verification device generates data objects according to the service data read from a memory server, that is, generates each table in fig. 5: POC fee reimbursement table-fee detail table, POC fee reimbursement table-prepaid reimbursement word table, manual review, etc., each data object may be set with object attributes, which are shown in fig. 6 and include: total reimbursement, total reimbursement without tax amount, total invoice without tax amount, contract Party B unit, billing date and invoice amount.
And S204, verifying the data object according to the rule set.
The rule set comprises one or more verification rules or audit rules, and the configured data objects are verified according to the rules in the rule set to obtain verification results. The verification result comprises information of verification success or verification failure of each data object, the verification failure and verification success frequency can be counted, a graphical statistical table (such as a pie chart, a histogram or a trend chart) and failure reasons can be generated, and the reason tracing at the later stage is facilitated.
Based on the mass data transmission process in the post audit scene, disk I/O operation and database interaction operation which need to consume a large amount of implementation and resources inevitably occur, and performance problems occur. In order to avoid the situation of repeatedly reading data in the rule checking process, the embodiment of the application periodically loads the specified data into the memory server, and extracts the cache data from the memory server as required when the rule execution scheduling execution or the rule service interface is called, so that the execution process of the rule execution is greatly accelerated, and the time and resources consumed by the rule execution are reduced.
The above-mentioned fig. 2 to 9 illustrate the service data verification method in detail. Correspondingly, the structure of a device in the embodiment of the application is schematically shown.
Referring to fig. 10, fig. 10 is a schematic structural diagram of an apparatus 10 according to an embodiment of the present disclosure, where the apparatus 10 may include: calling unit 1001, writing unit 1002, configuration unit 1003 and checking unit 1004.
A calling unit 1001, configured to periodically call service data from a data source;
a write-in unit 1002, configured to store the called service data in a memory server;
a configuration unit 1003, configured to read the service data from the memory server, and configure a data object and an object attribute corresponding to the rule set according to the read service data;
a verifying unit 1004, configured to verify the data object according to the rule set.
In one or more possible embodiments, the apparatus 10 further comprises:
the interaction unit is used for user interface through a user interface; wherein the user interface comprises a data source name input box and a query date input box;
acquiring a data source name through the input name input box, and acquiring a query date through the query date input box;
and querying a data source in a pre-configured data source set through the data source name and the query date.
In one or more possible embodiments, the periodically invoking the service data from the data source includes:
sending an API call request to the data source; the API call request carries a query command and a data source name;
and receiving the service data returned by the data source in response to the API call request.
In one or more possible embodiments, the interaction unit is further configured to:
the invocation period, the activation time, and the deactivation time are configured based on the user interface.
In one or more possible embodiments, verifying the data object according to the rule set includes:
counting the times of successful verification and the times of failed verification;
and generating a graphical statistical table and a failure reason based on the statistical times.
In one or more possible embodiments, the interaction unit is further configured to: configuring a data source name, a query command, keywords and a data source code for the newly added data source; and adding the newly added data source into the data source set.
In one or more possible embodiments, the memory server is a redis server.
The embodiment of the present application and the embodiment of the method in fig. 2 are based on the same concept, and the technical effects brought by the embodiment are also the same, and the specific process may refer to the description of the embodiment of the method in fig. 2, and will not be described again here.
The device 10 may be a calibration device, and the device 10 may also be a field-programmable gate array (FPGA), an application-specific integrated chip (asic), a system on chip (SoC), a Central Processing Unit (CPU), a Network Processor (NP), a digital signal processing circuit, a Micro Controller Unit (MCU), or a Programmable Logic Device (PLD) or other integrated chips, which implement related functions.
Fig. 11 is a schematic structural diagram of an apparatus according to an embodiment of the present application, which is hereinafter referred to as an apparatus 11, where the apparatus 11 may be the aforementioned verification apparatus 10 in fig. 1, as shown in fig. 11, and the apparatus includes: memory 1102, processor 1101, input device 1103, output device 1104, and communication interface.
The memory 1102 may be a separate physical unit, which may be connected to the processor 1101, the input device 1103, and the output device 1104 via a bus. The memory 1102, the processor 1101, the transceiver 1103 may also be integrated together, implemented in hardware, etc.
The memory 1102 is used to store a program implementing the above method embodiment, or various modules of the apparatus embodiment, which is called by the processor 1101 to perform the operations of the above method embodiment.
Input devices 1102 include, but are not limited to, a keyboard, a mouse, a touch panel, a camera, and a microphone; the output device includes, but is not limited to, a display screen.
Communication interfaces are used to send and receive various types of messages and include, but are not limited to, wireless interfaces or wired interfaces.
Alternatively, when part or all of the service data verification method of the foregoing embodiment is implemented by software, the apparatus may also include only the processor. The memory for storing the program is located outside the device and the processor is connected to the memory by means of circuits/wires for reading and executing the program stored in the memory.
The processor may be a Central Processing Unit (CPU), a Network Processor (NP), or a combination of a CPU and an NP.
The processor may further include a hardware chip. The hardware chip may be an application-specific integrated circuit (ASIC), a Programmable Logic Device (PLD), or a combination thereof. The PLD may be a Complex Programmable Logic Device (CPLD), a field-programmable gate array (FPGA), a General Array Logic (GAL), or any combination thereof.
The memory may include volatile memory (volatile memory), such as random-access memory (RAM); the memory may also include a non-volatile memory (non-volatile memory), such as a flash memory (flash memory), a Hard Disk Drive (HDD) or a solid-state drive (SSD); the memory may also comprise a combination of memories of the kind described above.
The embodiment of the present application further provides a computer storage medium, which stores a computer program, where the computer program is used to execute the method for verifying the service data provided in the foregoing embodiment.
The embodiment of the present application further provides a computer program product containing instructions, which when run on a computer, causes the computer to execute the method for verifying business data provided by the foregoing embodiment.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

Claims (10)

1. A method for verifying service data is characterized by comprising the following steps:
calling service data from a data source periodically;
storing the called service data into a memory server;
reading the service data from the memory server, and configuring a data object and an object attribute corresponding to the rule set according to the read service data;
and verifying the data object according to the rule set.
2. The method of claim 1, wherein before the periodically invoking the service data from the data source, further comprising:
through a user interface; wherein the user interface comprises a data source name input box and a query date input box;
acquiring a data source name through the input name input box, and acquiring a query date through the query date input box;
and querying a data source in a pre-configured data source set through the data source name and the query date.
3. The method of claim 1 or 2, wherein the periodically invoking the service data from the data source comprises:
sending an API call request to the data source; the API call request carries a query command and a data source name;
and receiving the service data returned by the data source in response to the API call request.
4. The method of claim 3, further comprising:
the invocation period, the activation time, and the deactivation time are configured based on the user interface.
5. The method of claim 1, 2 or 4, wherein verifying the data object according to the set of rules comprises:
counting the times of successful verification and the times of failed verification;
and generating a graphical statistical table and a failure reason based on the statistical times.
6. The method of claim 5, further comprising:
configuring a data source name, a query command, keywords and a data source code for the newly added data source;
and adding the newly added data source into the data source set.
7. The method of claim 1 or 2 or 4 or 6, wherein the memory server is a redis server.
8. A distributed task scheduler comprising:
the calling unit is used for periodically calling the service data from the data source;
the write-in unit is used for storing the called service data into the memory server;
the configuration unit is used for reading the service data from the memory server and configuring the data object and the object attribute corresponding to the rule set according to the read service data;
and the verifying unit is used for verifying the data object according to the rule set.
9. A computer device comprising a processor and a memory, wherein the memory is configured to store a computer program comprising program instructions, and wherein the processor is configured to invoke the program instructions to perform the method of any of claims 1-9.
10. A computer-readable storage medium, characterized in that the computer storage medium stores a computer program comprising program instructions that, when executed by a processor, cause the processor to perform the method according to any of claims 1-9.
CN202110536578.9A 2021-05-17 2021-05-17 Service data verification method and device, computer equipment and storage medium Pending CN113312387A (en)

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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109558134A (en) * 2017-09-27 2019-04-02 北京京东尚科信息技术有限公司 The method and apparatus of business datum verification
CN109669983A (en) * 2018-12-27 2019-04-23 杭州火树科技有限公司 Visualize multi-data source ETL tool
CN111694813A (en) * 2020-05-08 2020-09-22 北京明略软件系统有限公司 Data source management method and device
CN112416648A (en) * 2020-06-03 2021-02-26 上海哔哩哔哩科技有限公司 Data verification method and device
CN112685410A (en) * 2020-12-25 2021-04-20 中国平安人寿保险股份有限公司 Business rule checking method and device, computer equipment and storage medium

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109558134A (en) * 2017-09-27 2019-04-02 北京京东尚科信息技术有限公司 The method and apparatus of business datum verification
CN109669983A (en) * 2018-12-27 2019-04-23 杭州火树科技有限公司 Visualize multi-data source ETL tool
CN111694813A (en) * 2020-05-08 2020-09-22 北京明略软件系统有限公司 Data source management method and device
CN112416648A (en) * 2020-06-03 2021-02-26 上海哔哩哔哩科技有限公司 Data verification method and device
CN112685410A (en) * 2020-12-25 2021-04-20 中国平安人寿保险股份有限公司 Business rule checking method and device, computer equipment and storage medium

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