A heterogeneous report integration method, device and medium
By defining standard reporting interfaces and the concept of a data warehouse, heterogeneous reporting data was analyzed and managed, resolving the issue of data incompatibility within the enterprise, enabling the integration of different versions of reports and data classification, and improving the enterprise's data management capabilities.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2022-12-28
- Publication Date
- 2026-03-20
AI Technical Summary
Existing technologies cannot effectively solve the problem of data incompatibility within and between enterprises, resulting in business data silos, increasing the difficulty of enterprise supervision, and making it impossible to verify the reconciliation of relationships between multiple tables.
By defining standard reporting interfaces, including form interfaces, formula interfaces, and data interfaces, heterogeneous report data is parsed, cross-references are verified, and data governance is performed. Based on the concept of a data warehouse, data is categorized to form an internal reporting data source for the enterprise.
It enables the integration of report data from different versions and storage structures, improving enterprises' control over their own data and meeting their diverse data needs during the process of information technology construction.
Smart Images

Figure CN115952224B_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the field of computers, in particular to a heterogeneous report integration method, device and medium. BACKGROUND
[0002] With the advent of the big data era, massive data is changing people's production methods. With the digital development of enterprises, reports, as the main carrier of enterprise data, have become an important means for enterprises to grasp their own development and manage. However, with the development of fine management of enterprises, the requirements for data information are becoming higher and higher, resulting in various versions and storage structures of reports, which cannot check the reconciliation relationship among multiple tables, causing business data islands, and causing data incompatibility between enterprises, increasing the difficulty of enterprise supervision. SUMMARY
[0003] In order to solve the above problems, the present application provides a heterogeneous report integration method, which comprises:
[0004] determining an open report standard interface, the report standard interface comprising: a table sample interface, a formula interface, and a data interface;
[0005] receiving heterogeneous report data sent by each report platform through the report standard interface, and analyzing the heterogeneous report data to complete reconciliation relationship verification;
[0006] governing the heterogeneous report data to realize data classification of the heterogeneous report data based on a data warehouse concept, and obtaining enterprise internal report data sources.
[0007] In one example, the open report standard interface is determined, specifically comprising:
[0008] formulating a report table sample analysis method, the report table sample analysis method comprising, in order: a string, a JSONOBJECT, a JSONARRAY, and a List <map>;
[0009] According to the report template parsing manner, attributes corresponding to the template interface are acquired, and the attributes corresponding to the template interface include a report data storage table name tableName, a report data set, a verification information set, a cover code, and cover code reporting data, so as to store report data into a corresponding data table according to the tableName.
[0010] In one example, the opened report standard interface is determined, specifically including:
[0011] A report analysis formula standard and a formula symbol are formulated, so as to realize unified processing planning through the public standard and the formula symbol for different analysis formula expression forms corresponding to different report platforms.
[0012] In one example, the opened report standard interface is determined, specifically including:
[0013] A report data docking standard is formulated through a json string, and the table data docking standard includes a transmission interface ID, a source ID, a destination ID, and issued data, and a data body includes a task number, a task period, a current level code, and business data, so as to complete standard interface formulation of report data by defining a fixed format.
[0014] In one example, the opened report standard interface is determined, specifically including:
[0015] The template interface, the formula interface, and the data interface are loosely coupled;
[0016] Access requirements required by business needs are determined, and according to the access requirements, corresponding interfaces are selected from the template interface, the formula interface, and the data interface for access.
[0017] In one example, before the opened report standard interface is determined, the method further includes:
[0018] A reserve nature food rotation business of the grain industry acquires corresponding enterprise models and specific business indicators, the enterprise models include existence plans, contracts, warehouse in and out, statistical accounts, quality, and finance, and the specific business indicators include classification types, planned quantities, contract numbers, customer names, document numbers, document quantities, end-of-period balances, and inspection values.
[0019] According to the enterprise models and the specific business indicators, a report standard interface is formed.
[0020] In one example, heterogeneous report data sent by each report platform is received through the report standard interface, and the heterogeneous report data is parsed to complete reconciliation relationship verification, specifically including:
[0021] For the reserve nature of grain rotation business of grain industry, the corresponding heterogeneous report of the received policy grain business and the reserve grain business is transferred and integrated, the policy grain business and the reserve grain business are analyzed according to the report standard interface, the business index data is formed, and the dictionary standard and model filling are realized.
[0022] In one example, the method further comprises:
[0023] The analysis of the heterogeneous report data is recorded, and the recording includes: analysis report version, manufacturer, analysis time, analysis report data content, record analysis success data, and analysis failure data;
[0024] A timing processing analysis failure data mechanism is added to scan the records with the rpsjcsjl table data state being 0 and perform re-analysis.
[0025] On the other hand, the application also proposes a heterogeneous report integration device, comprising:
[0026] At least one processor; and,
[0027] The memory is in communication connection with the at least one processor; wherein,
[0028] The memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to:
[0029] Determine an open report standard interface, the report standard interface includes: table sample interface, formula interface, data interface;
[0030] Receive heterogeneous report data sent by each report platform through the report standard interface, and analyze the heterogeneous report data to complete the reconciliation relationship verification;
[0031] Govern the heterogeneous report data to realize data classification of the heterogeneous report data based on the data warehouse concept, and obtain enterprise internal report data source.
[0032] On the other hand, the application also proposes a non-volatile computer storage medium, which stores computer executable instructions, and the computer executable instructions are set to:
[0033] Determine an open report standard interface, the report standard interface includes: table sample interface, formula interface, data interface;
[0034] Receive heterogeneous report data sent by each report platform through the report standard interface, and analyze the heterogeneous report data to complete the reconciliation relationship verification;
[0035] Govern the heterogeneous report data to realize data classification of the heterogeneous report data based on a data warehouse concept, to obtain enterprise internal report data sources.
[0036] The method provided in the application can bring the following beneficial effects:
[0037] By combining the report technology and data modeling, formulating a report standard interface, realizing the access of table sample format, analysis formula and report data, fusing report data of different versions and different storage structures, the enterprise's own control is improved. BRIEF DESCRIPTION OF DRAWINGS
[0038] The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiments of the application and serve to explain the principles of the application, and do not limit the application. In the drawings:
[0039] Figure 1 A flowchart of the heterogeneous report integration method in the embodiments of the application;
[0040] Figure 2 A schematic diagram of the heterogeneous report integration method in a scenario in the embodiments of the application;
[0041] Figure 3 A schematic diagram of the heterogeneous report integration device in the embodiments of the application. DETAILED DESCRIPTION
[0042] To make the objectives, technical solutions and advantages of the application clearer, the following will describe the technical solutions of the application in detail with reference to the embodiments of the application and the corresponding drawings. Obviously, the described embodiments are only some of the embodiments of the application, but not all the embodiments of the application. Based on the embodiments in the application, all other embodiments obtained by those skilled in the art without creative work fall within the scope of protection of the application.
[0043] The following will describe the technical solutions provided by the embodiments of the application in detail with reference to the accompanying drawings.
[0044] There are many mature platforms for report management on the market, but there are relatively few platforms for mutual fusion and model creation of various reports to realize multi-dimensional perspective analysis, especially a simple configuration based on historical multi-version reports existing in the specific enterprise informatization construction process to complete the integration of data, model and presentation of the data circulation platform is rare on the market, which is a relatively blank field.
[0045] The existing report platform can realize data aggregation, analysis and report for a specific business. However, in the process of enterprise informatization construction development, different versions of report products will be inevitably introduced. At this time, it is difficult to integrate and analyze the data of different versions of reports in different business fields, such as industry and finance integration.
[0046] The analysis reasons are as follows. Firstly, such demand is a relatively small demand, mainly used in enterprises with wide business scope and multiple business types, and similar enterprises will inevitably introduce different versions of reports in the process of informatization construction. The mainstream report manufacturers invest less in the compatibility of other versions of reports. Secondly, the storage format and storage relationship of each report platform are different, which need to be uniformly managed. After all the reports are integrated, they cannot be recognized by anyone, and the report data of different report platforms need to be parsed and formed into unified recognized index data according to the standard. Thirdly, the enterprise data has certain confidentiality and sensitivity, and has speciality according to the management mode of the enterprise. The mainstream report products on the market cannot accurately meet the needs of enterprises.
[0047] Based on this, as shown in Figure 1 The embodiment of the present application provides a heterogeneous report integration method, which comprises the following steps:
[0048] S101: Determine an opened report standard interface, wherein the report standard interface comprises a table sample interface, a formula interface and a data interface.
[0049] Specifically, for the table sample interface, a report table sample analysis method is formulated, and the report table sample analysis method comprises, in sequence, a string, a JSONOBJECT, a JSONARRAY, a List <map>;
[0050] Based on the report template parsing method, obtain the attributes corresponding to the template interface. The attributes corresponding to the template interface include: report data storage table name (tableName), report data set, validation information set, cover code, and cover code reporting data, so that the report data can be stored into the corresponding data table according to tableName.
[0051] For the formula interface, we will develop standard formulas and formula symbols for report analysis to facilitate unified processing of different analysis formulas across different reporting platforms through the publicized standard and formula symbols.
[0052] The content is as follows:
[0053] {
[0054] "report":[
[0055] {
[0056] "formula":[],
[0057] "reportCat":{
[0058] "appcode":"",
[0059] "code":"001",
[0060] "haschildren":false,
[0061] "id":"57ffe6e4-0339-4a25-8246-5ec1031ceb90",
[0062] "name":"Default Group",
[0063] "name_cht":"Default group",
[0064] "name_en":"",
[0065] "name_es":"",
[0066] "name_pt":"",
[0067] "parentid":"CBLSZCY
[0068] },
[0069] "reportFormat":{"cells":[{body}]}
[0070] For the data interface, a report data docking standard is formulated through a json string, and the table data docking standard includes: passing an interface ID, a source ID, a destination ID and issued data, and the data body includes: a task number, a task period, a current level code and business data, so as to define a fixed format to complete the standard interface of the report data.
[0071] According to different business needs, the access requirements of the report are different, and there are different access requirements such as report data, report data + report form, report data + report form + report formula.
[0072] Based on this, the table interface, formula interface and data interface are loosely coupled, the access requirements required by the business needs are determined, and the corresponding interfaces are selected for access according to the access requirements, and the access of the information of the multi-scene report platform is supported.
[0073] S102: receiving heterogeneous report data sent by each report platform through the report standard interface, and analyzing the heterogeneous report data to complete the reconciliation relationship verification.
[0074] As shown in Figure 2 The report platform includes report platform 1 to report platform n, and finally the heterogeneous report data is parsed in the heterogeneous report platform. Different versions and different manufacturers of the report platform are parsed to realize the ontology description, storage and parsing of the data source, combined with the circled index, the concept of data warehouse is referenced, and the enterprise business data is completed and managed.
[0075] S103: managing the heterogeneous report data to realize data classification of the heterogeneous report data based on the concept of data warehouse, and obtaining the enterprise internal report data source.
[0076] The concept of data warehouse refers to a reliable data warehouse system, which needs a clear data hierarchical structure, that is, to ensure the stability of the data layer and shield the influence on the downstream, and to avoid long chain. Combined with these principles and the past project implementation experience, we will uniformly define the hierarchical layer as three layers: operational data layer ODS, common dimension model layer CDM and application data layer ADS.
[0077] ODS (Operational Data Store) is defined as a storage layer, which only retains historical data by technical means (snapshot form) without any conversion, and is isomorphic with the business side DB entity. In structure, it is basically consistent with the incremental or full data of the source system.
[0078] ODS is equivalent to a data preparation area of DW data, while also bearing the basic data recording and historical changes. Its main role is to introduce the basic data into the calculation storage. Based on the concept of dimensional modeling, the consistency of the entire enterprise dimension is established.
[0079] CDM (Common Data Model, Common Dimension Model Layer) is further divided into DWD and DWS. Its main role is to complete data processing and integration, establish consistent dimensions, build reusable detailed fact tables for analysis and statistics, and summarize public granularity indicators.
[0080] Among them, DWD (Data Warehouse Detail): defined as a detailed layer, standardized data (encoding conversion, cleaning, unified format, desensitization, etc.), without horizontal integration.
[0081] Based on the characteristics of each specific business process, the most detailed level of fact table is constructed. You can combine the data usage characteristics of the enterprise to make some important dimension attribute fields of the detailed fact table redundant, that is, to process the wide table (dimension degradation).
[0082] DWS (Data Warehouse Summary): summary layer, associated and integrated with dwd information, output theme wide table (facing business process, different business process information is not redundant construction, using foreign key form). Concentrate on building general dimensions and indicators to reduce business demand development cost.
[0083] Based on the analysis of the theme object as the modeling drive, based on the indicator demand of the upper layer application and product, the public granularity summary indicator fact table is constructed, and the wide table is used to physicalize the model.
[0084] DIM: Dimension table, establish consistent data analysis dimension table, reduce the risk of non-uniform data calculation range and algorithm.
[0085] Based on the dimension as the modeling drive, based on the business meaning of each dimension, through the definition of dimension and dimension primary key, the addition of dimension attribute, the association of dimension, etc. Define the calculation logic and snowflake model, complete the attribute definition process and establish consistent data analysis dimension table. At the same time, you can define the dimension master-sub relationship, the attributes of the sub-dimension will be merged into the master dimension for use, further ensuring the consistency and convenience of the dimension.
[0086] ADS (Application Data Service), customized development for business needs. Contains composite derived indicators and labels.
[0087] Data warehouse implementation process:
[0088] The overall process of data warehouse model design, implementation, construction and online involves data research, model design, model construction, testing and acceptance, and application release. The output and input documents of each stage are specified.
[0089] Data research: The business system and data of the group are checked to understand the current status of the core business data. The business demand is collected and understood, and the index caliber of specific demand is unified. After the functions of the business system or system module involved in the demand are sorted out, the table field level analysis is carried out, and the data is verified to ensure that the existing data can support the business demand.
[0090] Model design: According to the demand and business research results, the model is preliminarily classified, and the appropriate theme domain is selected for model storage; after determining the theme, the design stage of data model is entered, and the logical model design process considers the key problems such as bus structure construction and model specification definition.
[0091] Model construction: Physical model design is based on logical model, taking into account storage performance and other factors to make the physical process of logical model, which is the final physical implementation of logical model. Physical model is generally consistent with logical model, and table structure needs to be output after model design to verify the demand matching. The process of logical model physicalization can be automatically generated by product platform model construction, or it can be completed through business process node custom code development. It includes data mapping, calculation implementation, test verification and other development processes.
[0092] Test acceptance:
[0093] After unit testing, the business needs to be notified together to verify the model data, collect the verification problems, and return the rationality of the model design.
[0094] Release application:
[0095] After the verification, the model can be deployed in the online production environment. On the one hand, it can be connected to the data analysis platform through data source for self-service query and visualization analysis, and on the other hand, it can configure API interface service to provide for business system calling. After online, the model needs to be configured for monitoring to timely grasp the status of data service for business. Model entity and attribute description documents can be published to the users of data warehouse data, so that the model can be better applied.
[0096] Through the combination of report merging technology and data modeling, the report standard interface is developed to realize the access of table format, analysis formula and report data, and to integrate report data of different versions and different storage structures to improve the control ability of the enterprise itself.
[0097] In one embodiment, as the development of the enterprise, a large amount of data information is generated, which is indispensable for the new applications such as enterprise information portal, customer relationship management, data warehouse, decision support and B2B. Before modeling the enterprise data, the business mirror, business requirements and the business problems to be solved are understood. The authenticity of the data source and the standardization of the data are verified, and the data is extracted. According to the determined analysis target, the related data model is built by using the division group method. According to the created data model, the business indicators are circled, and the boundaries are clarified.
[0098] For the reserve nature of the grain industry rotation business, the corresponding enterprise model and specific business indicators are obtained, the enterprise model includes: plan, contract, warehouse, statistical account, quality, finance, and the specific business indicators include: type, planned quantity, contract number, customer name, document number, document quantity, end balance, test value; according to the enterprise model and the specific business indicators, the report standard interface is formed.
[0099] Further, for the reserve nature of the grain industry rotation business, the report platform for receiving the policy grain business and the reserve grain business is inconsistent, and the two business data cannot be summarized and analyzed. At this time, according to the method in the above, it is integrated, the policy grain business and the reserve grain business are analyzed according to the report standard interface, the business indicator data is formed, and the dictionary standard and model filling are realized.
[0100] In one embodiment, the parsing of the heterogeneous report data is recorded, including: parsing report version, manufacturer, parsing time, parsing report data content, recording successful data, and parsing failed data; a repeatTask timing task is added to scan the rpsjcsjl table data state 0 record and reparse. For example, set every 1 hour to scan.
[0101] As shown in Figure 3 The embodiment of the present application further provides a heterogeneous report integration device, comprising:
[0102] At least one processor; and,
[0103] The memory is in communication connection with the at least one processor; wherein,
[0104] The memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to:
[0105] Determine an opened report standard interface, the report standard interface includes: table sample interface, formula interface, data interface;
[0106] The heterogeneous report data sent by each report platform is received through the report standard interface, and the heterogeneous report data is parsed to complete the reconciliation relationship verification.
[0107] The heterogeneous report data is governed to realize data classification of the heterogeneous report data based on a data warehouse concept, to obtain enterprise internal report data sources.
[0108] The embodiments of the present application further provide a nonvolatile computer storage medium, which stores computer executable instructions, and the computer executable instructions are configured to:
[0109] The report standard interface is determined to be opened, and the report standard interface includes a table sample interface, a formula interface, and a data interface.
[0110] The heterogeneous report data sent by each report platform is received through the report standard interface, and the heterogeneous report data is parsed to complete the reconciliation relationship verification.
[0111] The heterogeneous report data is governed to realize data classification of the heterogeneous report data based on a data warehouse concept, to obtain enterprise internal report data sources.
[0112] Each of the embodiments of the present application is described in a progressive manner, and the same and similar parts of each of the embodiments can be referred to each other, and each of the embodiments mainly describes the difference from other embodiments. In particular, the device and medium embodiments are described simply because they are basically similar to the method embodiments, and the related parts can be referred to the part of the description of the method embodiments.
[0113] The device and medium provided by the embodiments of the present application are one-to-one corresponding to the method, and therefore, the device and medium also have the similar beneficial technical effects as the method. Since the beneficial technical effects of the method have been described in detail above, the beneficial technical effects of the device and medium will not be described here.
[0114] Those skilled in the art should understand that the embodiments of the present application can be provided as a method, a system, or a computer program product. Therefore, the present application can be in the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can be in the form of a computer program product implemented on one or more computer usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer usable program codes.
[0115] The computer program instructions can 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 block or blocks. Figure 1 one or more flowcharts and / or blocks in the flowcharts and / or combination thereof. Figure 1 one or more flowcharts and / or blocks in the flowcharts and / or combination thereof.
[0116] The computer program instructions can 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 block or blocks. Figure 1 one or more flowcharts and / or blocks in the flowcharts and / or combination thereof. Figure 1 one or more flowcharts and / or blocks in the flowcharts and / or combination thereof.
[0117] The computer program instructions can 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 block or blocks. Figure 1 one or more flowcharts and / or blocks in the flowcharts and / or combination thereof. Figure 1 one or more flowcharts and / or blocks in the flowcharts and / or combination thereof.
[0118] In one typical configuration, the computing device includes one or more processors (CPUs), input / output interfaces, network interfaces, and memory.
[0119] The memory can include non-persistent memory and / or volatile memory, such as random access memory (RAM) and / or cache memory, non-volatile memory, such as read-only memory (ROM), EPROM, and / or flash memory. The memory is an example of computer-readable media.
[0120] Computer-readable media includes permanent and non-permanent, movable and non-movable media that can implement information storage by any method or technology. The information can be computer-readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassette, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information accessible to a computing device. According to the definition herein, computer-readable media does not include transitory media such as modulated data signals and carriers.
[0121] It should also be noted that the terms "comprising", "containing", or any other variant thereof are intended to cover a non-exclusive inclusion, such that a process, method, article or apparatus that comprises a list of elements does not only include those elements, but can also include other elements not expressly listed or inherent to such process, method, article or apparatus. Without more limitations, the element defined by the statement "comprising a" does not exclude the presence of additional identical elements in the process, method, article or apparatus that includes the element.
[0122] The above only describes the embodiments of the present application and is not intended to limit the present application. For those skilled in the art, the present application can have various modifications and changes. Any modification, equivalent replacement, improvement, etc. within the spirit and principle of the present application shall be included in the scope of claims of the present application.< / map> < / map>
Claims
1. A method for integrating heterogeneous reports, characterized in that, include: Identify the open standard reporting interfaces, which include: form interface, formula interface, and data interface; The system receives heterogeneous report data from various reporting platforms through the standard reporting interface and parses the heterogeneous report data to complete the verification of reconciliation relationships. The heterogeneous report data is managed by classifying the data based on the concept of a data warehouse to obtain the internal report data source of the enterprise. Define the report template parsing methods, which include, in order: string, JSONOBJECT, JSONARRAY, and List. <map>;< / map> According to the report template parsing method, the attributes corresponding to the template interface are obtained. The attributes corresponding to the template interface include: report data storage table name (tableName), report data set, verification information set, cover code, and cover code reporting data, so as to store the report data into the corresponding data table according to the tableName. A standard for report data integration is established using a JSON string. This standard includes transmitting the interface ID, source ID, destination ID, and the data to be distributed. The data body includes the task number, task period, local code, and business data. By defining a fixed format, the report data is integrated into the standard interface.
2. The method according to claim 1, characterized in that, Identify the open standard reporting interfaces, specifically including: Establish standard formulas and formula symbols for report analysis to facilitate unified processing planning for different analysis formulas across different reporting platforms.
3. The method according to claim 1, characterized in that, Identify the open standard reporting interfaces, specifically including: Loosely couple the form interface, the formula interface, and the data interface; Determine the access requirements needed for business needs, and select the corresponding interface from the form interface, formula interface, and data interface for access based on the access requirements.
4. The method according to claim 1, characterized in that, Before determining the open reporting standard interfaces, the method further includes: For grain rotation operations with reserve characteristics in the grain industry, obtain the corresponding enterprise model and specific business indicators. The enterprise model includes: plans, contracts, inbound and outbound warehousing, statistical accounts, quality, and finance. The specific business indicators include: classification type, planned quantity, contract number, customer name, document number, document quantity, ending balance, and inspection value. Based on the enterprise model and the specific business indicators, a standard reporting interface is formed.
5. The method according to claim 4, characterized in that, The system receives heterogeneous report data from various reporting platforms through the standard reporting interface, parses the heterogeneous report data to perform reconciliation verification, specifically including: For the grain rotation business of reserve grain in the grain industry, the heterogeneous reports corresponding to the received policy grain business and reserve grain business are transferred and integrated. According to the standard interface of the reports, the policy grain business and reserve grain business are parsed to form business indicator data, and dictionary standards and model filling are implemented.
6. The method according to claim 5, characterized in that, The method further includes: The parsing status of the heterogeneous report data is recorded, including: parsed report version, manufacturer, parsing time, parsed report data content, and records of successfully parsed data and unsuccessfully parsed data. Add a timed mechanism to handle failed data parsing, scan for records in the rpsjcsjl table with a data status of 0, and re-parse them.
7. A heterogeneous report integration device, characterized in that, include: At least one processor; as well as, A memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor to enable the at least one processor to perform the method as described in any one of claims 1-6.
8. A non-volatile computer storage medium storing computer-executable instructions, characterized in that, The computer-executable instructions are configured to perform the method as described in any one of claims 1-6.
Citation Information
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