CN112988358A - Data middleware for e-commerce platform - Google Patents
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Abstract
The invention discloses a data middleware for an e-commerce platform, which comprises a standard data interface, a data scheduling monitoring platform, a data analysis module, a data processing module and a data storage module, wherein the data scheduling monitoring platform controls and coordinates the standard data interface and the data analysis module, and the data processing module and the data storage module are matched to complete the reading, analysis, processing, importing and storage of data, so that various databases or data files are processed into a data format suitable for financial software through data, and the efficiency of e-commerce platform financial data processing can be greatly improved.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a data middleware technology.
Background
Computer technology is rapidly developing. From the hardware technology, the CPU speed is higher and higher, and the processing capacity is stronger and stronger; from the perspective of software technology, the scale of application programs is continuously expanding, especially the appearance of the Internet and WWW, so that the application range of computers is wider, and many application programs need to run on heterogeneous platforms in a network environment. All this puts new demands on the development of a new generation of software. In such a distributed heterogeneous environment, there are usually multiple hardware system platforms (e.g., PCs, workstations, minicomputers, etc.), on which there are various system software (e.g., different operating systems, databases, language compilers, etc.), and multiple styles of user interfaces, and which may also be connected using different network protocols and network architectures; therefore, due to different network architectures, data transmission between the multiple system platforms is difficult, and the working efficiency is reduced.
Such as an e-commerce platform, having multiple platforms and multiple databases, each platform or database may be run in a different system environment, such that efficient data exchange between platforms and databases is not possible. Most importantly, financial software in the e-commerce platform generally needs to gather various data of each platform or each database, and the efficiency of the e-commerce platform financial data processing is greatly influenced because the data are not communicated with each other.
Disclosure of Invention
Aiming at the problem of transmission among different data in the existing e-commerce platform, the invention aims to provide a data middleware for the e-commerce platform, which can convert a data format into a format matched with system software through a data middleware platform, and well overcomes the technical problems in the prior art.
In order to achieve the above purpose, the data middleware for e-commerce platform provided by the invention comprises a standard data interface, a data scheduling monitoring platform, a data analysis module, a data processing module and a data storage module,
the standard data interface is used as a data input interface of the whole middleware platform and is used for receiving various data to be processed;
the data analysis module is in data link with the standard data interface and the data scheduling monitoring platform, and can read the converted data from the standard data interface according to a task scheduling instruction of the data scheduling monitoring platform and analyze the read data according to a task requirement;
the data processing module is in data link with the data analysis module and the data scheduling monitoring platform and is communicated with each financial software data introduction port; the data processing module can read the analyzed and processed data from the data analysis module according to the task scheduling instruction of the data scheduling monitoring platform, convert the read data according to the task scheduling instruction and directly import the processed data into the corresponding financial software system;
the data storage module is in data link with the data processing module and the data scheduling monitoring platform, and can acquire and store data processed by the data processing module from the data processing module according to a task scheduling instruction of the data scheduling monitoring platform;
the data scheduling monitoring platform schedules and controls the standard data interface, the data analysis module, the data processing module and the data storage module to work cooperatively.
Furthermore, the data scheduling monitoring platform schedules and controls the standard data interface and the data analysis module through a multi-thread task, and the data processing module and the data storage module work in a matched mode.
Furthermore, the data storage module can acquire the data read by the data processing module from the data processing module according to the task scheduling instruction of the data scheduling monitoring platform, and store the data in one-to-one correspondence with the data processed by the data processing module.
Further, the data middleware performs correlation operation.
According to the data middleware platform scheme provided by the invention, the data middleware platform is arranged among the processing platform, the database and the financial software of the e-commerce platform, and various databases or data files can be processed into a data format suitable for the financial software through data by the data middleware platform, so that the financial data processing efficiency of the e-commerce platform can be greatly improved.
Drawings
The invention is further described below in conjunction with the appended drawings and the detailed description.
Fig. 1 is a diagram showing an example of the data middleware for an e-commerce platform according to an embodiment of the present invention.
Detailed Description
In order to make the technical means, the creation characteristics, the achievement purposes and the effects of the invention easy to understand, the invention is further explained below by combining the specific drawings.
Aiming at the problem that data of different software systems or different databases in the existing e-commerce platform and data of a financial system cannot be effectively transmitted mutually, the embodiment provides the data middleware for the e-commerce platform, which can build a data conversion bridge between the different software systems or different databases in the e-commerce platform and the financial software to realize data exchange or transmission between the different software systems or different databases in the e-commerce platform and the financial software.
The data middleware for the e-commerce platform presented in this example has a standard program interface for common services between the platform (hardware and operating system) and the application. There may be multiple implementations that conform to the interface and protocol specifications for different databases.
The data middleware for the E-commerce platform can process various databases or data files into a data format suitable for financial software through data processing, and greatly improves the working efficiency.
Referring to fig. 1, an exemplary configuration of the data middleware for the e-commerce platform given in this example is shown.
As can be seen from the figure, the data middleware 100 mainly includes five parts, namely, a standard data interface 110, a data scheduling monitoring platform 120, a data parsing module 130, a data processing module 140, and a data storage module 150.
The standard data interface 110 serves as a data input interface of the whole middleware platform and is used for receiving various data to be processed.
The standard data interface 110 can be in data connection with various databases 200, such as databases of Oracle \ Mysql \ SqlServer \ DB2\ Hadoop and the like.
Meanwhile, the standard data interface 110 can receive various data files 300, such as CSV \ XML \ Excel \ txt, and the like.
The standard data interface 110 performs a standardized preprocessing on the received data, and converts the received various types of data into standardized data meeting the requirements of intermediate processing. The specific preprocessing method and the corresponding data format are not limited herein and can be determined according to actual requirements.
The data parsing module 130 is in data link with the standard data interface 110 and the data scheduling monitoring platform 120.
The data analysis module 130 may read the converted data from the standard data interface 110 according to the task scheduling instruction of the data scheduling monitoring platform 120, analyze the read data according to the task requirement, remove the data that does not meet the requirement, and perform attribute analysis, content analysis, and classification on the data that meets the requirement.
The specific implementation manner or scheme of the data parsing module 130 is not limited herein, and may be determined according to actual requirements.
The data processing module 140 is in data link with the data analysis module 130 and the data scheduling monitoring platform 120, and is communicated with the data introduction port of each financial software 400 through a corresponding data interface.
The data processing module 140 can read the analyzed data from the data analyzing module 130 according to the task scheduling instruction of the data scheduling monitoring platform 120, analyze the data requirement or requirement of the corresponding financial software from the task scheduling instruction, convert the read data accordingly, convert the read data into financial data meeting the requirement or requirement of the corresponding financial software, and directly import the financial data into the corresponding financial software system.
The specific implementation manner or scheme of the data processing module 140 is not limited herein, and may be determined according to actual requirements.
The data storage module 150 is in data link with the data processing module 140 and the data scheduling monitoring platform 120.
The data storage module 150 may obtain the data read by the data processing module 140 and the processed data from the data processing module 140 according to the task scheduling instruction of the data scheduling monitoring platform 120, and store the two sets of data in a one-to-one correspondence manner.
According to the requirement, the data storage module 150 stores the task scheduling instruction information received by the data processing module 140 in synchronization with the corresponding data, so as to perform data review later, and can quickly lock an error data source when an error occurs in the data.
The data scheduling monitoring platform 120 is respectively in data link with the standard data interface 110, the data analysis module 130, the data processing module 140 and the data storage module 150, performs data interaction, coordinates the standard data interface 110, the data analysis module 130, the data processing module 140 and the data storage module 150, and completes reading, analysis, processing, importing and storing of data.
The data scheduling monitoring platform 120 schedules and controls the standard data interface 110, the data parsing module 130, the data processing module 140 and the data storage module 150 to cooperate through multi-threaded tasks. The thread task at least comprises the requirement or requirement of importing data of the corresponding financial software system.
Specifically, the data scheduling monitoring platform 120 schedules and controls the standard data interface 110, the data parsing module 130, the data processing module 140 and the data storage module 150 to cooperate with each other through parallel multi-threaded tasks, thereby implementing parallel processing of a plurality of middleware data processing tasks.
Meanwhile, the data scheduling monitoring platform 120 is further provided with a corresponding data monitoring unit, which can perform synchronous real-time monitoring on the scheduling processing process and the data processing process of each thread task, so that the data stability of the data in the processing process and the working efficiency of data processing can be greatly improved, and the running condition of each task can be known at any time.
When the data middleware for the E-commerce platform is specifically implemented, the data middleware can be presented by corresponding software programs and can run independently; and when a plurality of middleware are simultaneously arranged, parallel operation or serial operation can be carried out, so that the data operation efficiency of the system is improved.
The data middleware also has the following technical characteristics aiming at different hardware platforms, systems and the like during actual operation:
(1) can meet the requirements of a large number of applications;
(2) may run on a variety of hardware and OS platforms;
(3) supporting distributed computing, providing transparent application or service interactions across networks, hardware, and OS platforms;
(4) a protocol supporting a standard;
(5) and supporting the interface of a standard database.
Therefore, the middleware has the following characteristics in specific application:
a) data transmission among different platforms can be realized;
b) the mutual transmission of different system data can be realized;
c) the mutual transmission of different databases can be realized;
d) non-database data can be processed, such as: XML, txt, csv, execl, etc.;
e) each middleware task can be independent: each task can be independently operated;
f) each intermediate task may also have an association: each task can be operated according to data logic association;
g) and scheduling and monitoring by using the unified monitoring management platform, and knowing the running condition of each task at any time.
The working process of the method in specific application is illustrated as follows:
for example, taking data transmission between the ERP system and the financial software through the data intermediate platform in the present solution as an example, the present solution lists various examples for description:
the first embodiment is as follows: for material data
When the material data in the ERP system needs to be transmitted to the financial software, the material data is connected with the database, the material data is received into the database and is compared with the data in the database for filtering, if the data meets the conditions, the data is transmitted to the data intermediate platform, and the data is analyzed, processed and stored and then transmitted to the financial software.
Example two: for brand data
Through the middleware, brand data in the ERP system can be converted into a data form meeting the requirements of financial software, and the data form is transmitted to the financial software.
Example three: for supplier data
When supplier data in the ERP system needs to be transmitted to the financial software, supplier data numbers are inquired in a database and correspondingly filtered, and then the data numbers are transmitted to a data intermediate platform, analyzed, processed and stored, and then transmitted to the financial software.
Example four: store data for platform
When the shop data in the ERP system needs to be transmitted to the financial software, the shop data numbers are inquired in the database and correspondingly filtered, and then the data are transmitted to the data intermediate platform, analyzed, processed and stored and then transmitted to the financial software.
Example five: targeting platform warehouse data
When the warehouse data in the ERP system needs to be transmitted to the financial software, the warehouse data is inquired in the database and correspondingly filtered, and then the data is transmitted to the data intermediate platform, analyzed, processed and stored and then transmitted to the financial software.
Example six: targeting platform customer data
When customer data in the ERP system needs to be transmitted to the financial software, the customer data is inquired in the database and correspondingly filtered, and then the data is transmitted to the data intermediate platform, analyzed, processed and stored and then transmitted to the financial software.
Example seven: purchasing and warehousing
When the data of the purchase warehousing entry in the ERP system needs to be transmitted to the financial software, the middleware counts the quantity of the data of the purchase warehousing entry, firstly, the counted bill data can be sorted and combined through a master disk, then, a label of detail is added, and finally, the purchase warehousing data is recorded into the financial software.
Secondly, id coding can be carried out on the bill data after statistics through the middleware, then the repeated bill data are deleted and sorted, the sorted data are copied, the updating standard quantity is increased after the data are copied, the updated constant is added, and the data to which the constant is added can form final purchasing warehousing data through adding a header tag and then are transmitted to financial software.
And after the slave disks are sorted and combined through the middleware, a detail label is added, and finally the purchasing and warehousing data is recorded into financial software.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention 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 invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. 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.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). The memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, 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 technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device.
It should also be noted that the terms "comprises," "comprising," or any other variation 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 include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in the process, method, article, or apparatus that comprises the element.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention 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 foregoing shows and describes the general principles, essential features, and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are described in the specification and illustrated only to illustrate the principle of the present invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the present invention, which fall within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (4)
1. The data middleware for the e-commerce platform is characterized by comprising a standard data interface, a data scheduling monitoring platform, a data analysis module, a data processing module and a data storage module,
the standard data interface is used as a data input interface of the whole middleware platform and is used for receiving various data to be processed;
the data analysis module is in data link with the standard data interface and the data scheduling monitoring platform, and can read the converted data from the standard data interface according to a task scheduling instruction of the data scheduling monitoring platform and analyze the read data according to a task requirement;
the data processing module is in data link with the data analysis module and the data scheduling monitoring platform and is communicated with each financial software data introduction port; the data processing module can read the analyzed and processed data from the data analysis module according to the task scheduling instruction of the data scheduling monitoring platform, convert the read data according to the task scheduling instruction and directly import the processed data into the corresponding financial software system;
the data storage module is in data link with the data processing module and the data scheduling monitoring platform, and can acquire and store data processed by the data processing module from the data processing module according to a task scheduling instruction of the data scheduling monitoring platform;
the data scheduling monitoring platform schedules and controls the standard data interface, the data analysis module, the data processing module and the data storage module to work cooperatively.
2. The data middleware of claim 1 wherein the data scheduling monitor platform schedules and controls the standard data interface, the data parsing module, the data processing module and the data storage module to work cooperatively through multi-thread tasks.
3. The data middleware for the e-commerce platform according to claim 1, wherein the data storage module can acquire the data read by the data processing module from the data processing module according to the task scheduling instruction of the data scheduling monitoring platform, and store the data in one-to-one correspondence with the data processed by the data processing module.
4. The data middleware of claim 1 wherein the data middleware performs an association operation between themselves.
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