CN111190970B - Data mapping method, device and computer readable storage medium - Google Patents
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Abstract
The application provides a data mapping method, a device and a computer readable storage medium, wherein a first data structure and a second data structure are established in advance, a first source mapping type code and a first target mapping type code are added in the first data structure, a second source mapping type code, a second target mapping type code and a plurality of data identification association pairs which have already established mapping relations are added in the second data structure, then source data are acquired, the mapping type code of the source data and the mapping type code of target data to be mapped are determined from the first data structure according to the source data, the mapping relation between the data identification of the source data and the data identification of the target data is determined from the second data structure according to the mapping type code of the source data and the mapping type code of the target data, and the source data can be converted into the target data according to the mapping relation. The scheme solves the technical problems that the mapping method for dynamic data is time-consuming and labor-consuming and is difficult to meet the requirements.
Description
Technical Field
The present application relates to the field of data processing technologies, and in particular, to a data mapping method, a data mapping device, and a computer readable storage medium.
Background
Information is an important resource of modern enterprises, and is the basis of the enterprises for applying scientific management and decision analysis. Currently, most businesses spend a great deal of money and time building business systems and office automation systems for online transaction OLTP to record various relevant data for transactions.
When the enterprise integrates information among heterogeneous systems, data mapping conversion among a plurality of systems is involved, and particularly, the data integration of large-scale group enterprises is aimed at, more business systems are involved, more data types to be mapped are also involved, and meanwhile, the situation that a plurality of sets of mapping types exist in one type of data also exists.
Based on the above, a common solution is to solidify the mapping conversion logic in the code by hard coding, which can only meet the condition that the mapping data type will not change, if there is a change, the code needs to be modified, and a great deal of time and money are consumed.
Disclosure of Invention
The application solves the prior art problem that the existing mapping method for dynamic data is time-consuming and labor-consuming and is difficult to meet the requirements.
In order to solve the above technical problems, the present application provides a data mapping method, including: acquiring source data; determining mapping type codes of source data and mapping type codes of target data to be mapped from a first data structure according to the source data; determining a mapping relation between the data identification of the source data and the data identification of the target data from the second data structure according to the mapping type code of the source data and the mapping type code of the target data; and converting the source data into target data according to the mapping relation.
Further, the first data structure comprises a plurality of groups of first candidate matching data which are stored in advance, and each group of first candidate matching data comprises a first source mapping type code, a first target mapping type code and first description information which are associated with each other; the step of determining a mapping type code of the source data and a mapping type code of the target data to be mapped from the first data structure based on the source data comprises: and matching the mapping type codes of the source data and/or the description information to be matched associated with the source data with the first source mapping type codes and/or the first description information in each group of first candidate matching data, and further taking the first target mapping type codes in the matched first candidate matching data as the mapping type codes of the target data.
Further, the first description information includes name information and/or affiliated department information.
Further, each set of first candidate matching data further comprises first validity information, a first creation time, and/or a first modification time; the step of matching the mapping type code of the source data and/or the description information to be matched associated with the source data with the first source mapping type code and/or the first matching data description information in each group of first candidate matching data comprises the following steps: and confirming the first candidate matching data which is currently effective according to the first effective information, and matching with the first candidate matching data which is currently effective.
Further, before the step of acquiring the source data, the method further includes: respectively distributing unique mapping type codes for each data type used by a system to be mapped; respectively associating the mapping type codes of two data types with mapping relation as a first source mapping type code and a first target mapping type code to form first candidate matching data; adding first descriptive information for the first candidate matching data; the first candidate matching data is imported into a first data structure.
Further, the second data structure comprises a plurality of sets of second candidate matching data, and each set of second candidate matching data comprises a second source mapping type code, a second target mapping type code and a plurality of data identification association pairs which are associated with each other; the step of determining a mapping relationship between the data identification of the source data and the target data from the second data structure according to the mapping type encoding of the source data and the mapping type encoding of the target data comprises: and matching the mapping type codes of the source data and the mapping type codes of the target data with the second source mapping type codes and the second target mapping type codes in each group of second candidate matching data respectively, and further determining the mapping relation between the data identification of the source data and the data identification of the target data according to the data identification association pair in the matched second candidate matching data.
Further, each set of second candidate matching data further comprises second validity information, a second creation time, and/or a second modification time; the step of matching the mapping type code of the source data and the mapping type code of the target data with the second source mapping type code and the second target mapping type code in each set of second candidate matching data, respectively, includes: and confirming the second candidate matching data which is currently effective according to the second effective information, and matching with the second candidate matching data which is currently effective.
Further, before the step of acquiring the source data, the method further includes: establishing mapping type codes and data identifications of two data types with mapping relation; forming a plurality of groups of data identification association pairs between the data identifications of the two data types; respectively using the mapping type codes of the two data types as a second source mapping type code and a second target mapping type code, and associating with a plurality of groups of data identification association pairs to form second candidate matching data; the second candidate matching data is imported into a second data structure.
There is also provided a data mapping apparatus comprising: a processor and a memory coupled to each other; the memory is used for storing program instructions for implementing the data mapping method, and the processor is used for executing the program instructions stored in the memory.
There is also provided a computer readable storage medium storing a program file executable to implement a data mapping method.
According to the data mapping method, mapping type codes of source data and mapping type codes of target data to be mapped are determined from a first data structure according to the source data, mapping relations between data identifications of the source data and data identifications of the target data are determined from a second data structure according to the mapping type codes of the source data and the mapping type codes of the target data, and the source data is converted into the target data according to the mapping relations. The scheme solves the technical problems that the mapping method for dynamic data is time-consuming and labor-consuming and is difficult to meet the requirements.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present application, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a first embodiment of the data mapping method of the present application;
FIG. 2 is a flow chart of a second embodiment of the data mapping method of the present application;
FIG. 3 is a schematic diagram of a data mapping apparatus according to an embodiment of the present application;
FIG. 4 is a schematic diagram of an embodiment of a computer readable storage medium of the present application.
Detailed Description
The application is described in further detail below with reference to the drawings and examples. It is specifically noted that the following examples are only for illustrating the present application, but do not limit the scope of the present application. Likewise, the following examples are only some, but not all, of the examples of the present application, and all other examples, which a person of ordinary skill in the art would obtain without making any inventive effort, are within the scope of the present application.
The terms "first," "second," "third," and the like in this disclosure are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first", "a second", and "a third" may explicitly or implicitly include at least one such feature. In the description of the present application, the meaning of "plurality" means at least two, for example, two, three, etc., unless specifically defined otherwise. All directional indications (such as up, down, left, right, front, back … …) in embodiments of the present application are merely used to explain the relative positional relationship, movement, etc. between the components in a particular gesture (as shown in the drawings), and if the particular gesture changes, the directional indication changes accordingly. The terms "comprising" and "having" and any variations thereof in embodiments of the present application are intended to cover a non-exclusive inclusion. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those listed steps or elements but may alternatively include other steps or elements not listed or inherent to such process, method, article, or apparatus.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the application. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.
The application is operational with numerous general purpose or special purpose computing system environments or configurations. For example: personal computers, server computers, hand-held or portable devices, tablet devices, multiprocessor systems, distributed computing environments that include any of the above systems or devices, and the like.
Fig. 1 is a flowchart of a data mapping method according to a first embodiment of the present application.
Step S11, source data is acquired.
The computer obtains the source data through an external storage medium or a network. The source data may be payroll information, personnel logging information, staff attendance information, annual end bill, etc.
Step S12, determining mapping type codes of the source data and mapping type codes of target data to be mapped from the first data structure according to the source data.
Before acquiring data, each data type used by the system to be mapped is respectively allocated with a unique mapping type code. The first data structure comprises a mapping type code of source data and a mapping type code of target data to be mapped, wherein the mapping type code and the mapping type code are stored in advance and are associated with each other. The computer finds the mapping type code of the source data and the mapping type code of the target data to be mapped, which are associated with each other, according to the name of the source data or the mapping name of the source data.
And S13, determining the mapping relation between the data identification of the source data and the data identification of the target data from the second data structure according to the mapping type code of the source data and the mapping type code of the target data.
And before acquiring the data, establishing mapping type codes and data identifications of two data types with mapping relations in a second data structure. In step S12, a mapping type code of source data and a mapping type code of target data to be mapped, which are associated with each other, are found, and the mapping type code of the source data and the mapping type code of the target data to be mapped are correspondingly matched with the mapping type codes of two data types having mapping relations in the second data structure, so that the mapping relation between the data identifier of the source data and the data identifier of the target data can be determined in the second data structure.
The first data structure and the second data structure may be stored in the form of tables or databases in this embodiment, and may be in any other computer-readable storage form in other embodiments.
Step S14, converting the source data into target data according to the mapping relation.
The system to be mapped in the computer converts the source data into target data according to the mapping relation and sends the target data to the receiver, wherein the address information of the receiver can be stored in the first data structure or the second data structure.
According to the embodiment, the source data is obtained, the mapping type code of the source data and the mapping type code of the target data to be mapped are determined from the first data structure according to the source data, the mapping relation between the data identification of the source data and the data identification of the target data is determined from the second data structure according to the mapping type code of the source data and the mapping type code of the target data, and the source data is converted into the target data according to the mapping relation. The scheme solves the technical problems that the mapping method for dynamic data is time-consuming and labor-consuming and is difficult to meet the requirements.
Fig. 2 is a flowchart of a data mapping method according to a second embodiment of the present application.
Before data mapping, the system to be mapped first determines mapping type codes with mapping relation and data marks with mapping relation. And stores the information in the first data structure and the second data structure, respectively, for searching when mapping is convenient. Wherein the system to be mapped comprises: the data sending end and the data receiving end can correspond to the plurality of data receiving ends.
Step S21, each data type used by the system to be mapped is respectively allocated with a unique mapping type code.
Step S22, the mapping type codes of two data types with mapping relation are respectively used as a first source mapping type code and a first target mapping type code to be associated so as to form first candidate matching data.
Step S23, adding first description information, first effective information, first creation time and/or first modification time to the first candidate matching data; the first candidate matching data is imported into a first data structure.
Before mapping, a first data structure is established, firstly, unique mapping type codes are respectively allocated to each data type in a system to be mapped, the mapping type codes of two data types with mapping relations are respectively used as a first source mapping type code and a first target mapping type code to be associated to form first candidate matching data, the mapping relations refer to the fact that source data are cash and target data are payroll, the mapping relations between the source data and the target data exist, and after the unique mapping type codes are respectively allocated to the source data and the target data, the mapping type codes of the source data and the mapping type codes of the target data exist. The first data structure comprises a plurality of groups of first candidate matching data which respectively correspond to different mapping types. The first candidate matching data of each group further comprises first description information, first effective information, first creation time and/or first modification time. The system to be mapped finds corresponding first candidate matching data according to the first effective information, the first descriptive information is used for matching with the source data, the first creation time is the creation time of the first data structure, and the first modification time is the modification time of the content in the first data structure. The first candidate matching data may further include a target data receiving end address for transmitting the converted target data to the data receiving end, wherein the target data receiving end address may correspond to the plurality of data receiving ends, respectively.
Step S24, establishing mapping type codes and data identifications of two data types with mapping relations.
Step S25, a plurality of groups of data identification association pairs are formed between the data identifications of the two data types.
Step S26, the mapping type codes of the two data types are respectively used as a second source mapping type code and a second target mapping type code, and are associated with a plurality of groups of data identification association pairs, second effective information, second creation time and/or second modification time to form second candidate matching data; the second candidate matching data is imported into a second data structure.
Before mapping, a second data structure is established, firstly, a mapping type code and a data identifier of two data types with mapping relation are established in a system to be mapped, and the mapping type codes of the two data types with the mapping relation are correspondingly matched with a first source mapping type code and a first target mapping type code in a first data structure. And the data identifications of the two data types with the mapping relation are correspondingly matched with the first source mapping type code and the first target mapping type code in the first data structure. Then forming a plurality of groups of data identification association pairs between the data identifications of the two data types with the mapping relation, respectively using the mapping type codes of the two data types as a second source mapping type code and a second target mapping type code, and associating the second source mapping type code and the second target mapping type code with the plurality of groups of data identification association pairs, second effective information, second creation time and/or second modification time to form second candidate matching data; the second candidate matching data is imported into a second data structure. The second candidate matching data may further include a target data receiving end address identical to the target data receiving end address of the first candidate matching data, for transmitting the converted target data to the data receiving end, wherein the target data receiving end address may correspond to the plurality of data receiving ends, respectively.
Step S27, source data is acquired.
The computer at the data sending end obtains the source data through an external storage medium or a network. The source data may be payroll information, personnel logging information, staff attendance information, annual end bill, etc. In this embodiment the source data is payroll information.
And step S28, confirming the first candidate matching data which is currently effective according to the first effective information, and matching with the first candidate matching data which is currently effective.
Before the wage information is acquired, each data type used by the system to be mapped is respectively allocated with a unique mapping type code. The payroll information also has a corresponding mapping type code, and the system to be mapped confirms that the payroll information matches the first candidate matching data according to the first effective information in the first candidate matching data in the first data structure.
Step S29, matching the mapping type code of the source data and/or the description information to be matched associated with the source data with the first source mapping type code and/or the first description information in the effective first candidate matching data, and further using the first target mapping type code in the matched first candidate matching data as the mapping type code of the target data.
The mapping type code of the previously allocated payroll information is matched with a first source mapping type code in the first candidate matching data. Or matching the description information to be matched, which is associated with the wage information, with the first description information in the first candidate matching data. And then the first target mapping type code in the first candidate matching data which can be matched is used as the mapping type code of the target data.
In this embodiment, matching the mapping type code of payroll information and/or the description information to be matched associated with the source data with the first source mapping type code and/or the first description information in the valid first candidate matching data may be performed manually for the user through a visual window, and in other embodiments may be performed automatically for the pre-written code.
And step S30, confirming the second candidate matching data which is currently effective according to the second effective information, and matching with the second candidate matching data which is currently effective.
The first effective information is matched and corresponds to the second effective information, the system to be mapped confirms to match the first candidate matching data according to the first effective information, and the system to be mapped can also find effective second candidate matching data corresponding to payroll information matching in the second data structure according to the second effective information.
Step S31, the mapping type code of the source data and the mapping type code of the target data are respectively matched with a second source mapping type code and a second target mapping type code in the effective second candidate matching data, and then the mapping relation between the data identification of the source data and the data identification of the target data is determined according to the data identification association pair in the matched second candidate matching data.
Since the first target map type code in the first candidate matching data is used as the map type code of the target data in step S29, and the first source map type code and the first target map type code in the first matching data are correspondingly matched with the second source map type code, the second target map type code and the plurality of data identification association pairs in the second matching data, the data identification association pairs in the second candidate matching data can be found according to the map type code of the target data, and since the map relationship of the data identification association pairs is established in advance in step S24, the map relationship of the data identification of the payroll information and the data identification of the target data can be determined.
Step S32, converting the source data into target data according to the mapping relation.
And the system to be mapped converts the wage information into target data according to the mapping relation, and sends the target data to the data receiving terminals according to the target data receiving terminal addresses, and if the target receiving terminal addresses simultaneously correspond to a plurality of data receiving terminals, the target data are simultaneously sent to the plurality of data receiving terminals.
According to the embodiment, a first source mapping type code and a first target mapping type code are added in the first data structure, a second source mapping type code, a second target mapping type code and a plurality of data identification association pairs which have already established mapping relations are added in the second data structure, source data are acquired, the mapping type code of the source data and the mapping type code of target data to be mapped are determined from the first data structure according to the source data, the mapping relation between the data identification of the source data and the data identification of the target data is determined from the second data structure according to the mapping type code of the source data and the mapping type code of the target data, and the source data are converted into the target data according to the mapping relation and are sent to a data receiving end. The scheme solves the technical problems that the mapping method for dynamic data is time-consuming and labor-consuming and is difficult to meet the requirements.
Referring to fig. 3, fig. 3 is a schematic diagram of a frame of an embodiment of the data mapping apparatus of the present application. The data mapping device 80 comprises a processor 81 and a memory 82 coupled to each other, and the processor 81 is configured to execute program instructions stored in the memory 82 to implement steps of any of the above method embodiments or steps correspondingly executed by the data mapping device in any of the above method embodiments.
In particular, the processor 81 is configured to control itself and the memory 82 to implement the steps of any of the data mapping method embodiments described above. The processor 81 may also be referred to as a CPU (Central ProcessingUnit ). The processor 81 may be an integrated circuit chip with signal processing capabilities. The processor 81 may also be a general purpose processor 81, a digital signal processor 81 (Digital Signal Processor, DSP), an application specific integrated circuit (Application Specific Integrated Circuit, ASIC), a Field programmable gate array (Field-Programmable Gate Array, FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware components. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. In addition, the processor 81 may be commonly implemented by a plurality of integrated circuit chips.
Referring to fig. 4, fig. 4 is a schematic structural diagram of an embodiment of a computer readable storage medium according to the present application.
The computer readable storage medium 60 comprises a computer program 601 stored on the computer readable storage medium 60, said computer program 601, when executed by the processor, implementing the steps of any of the method embodiments described above or the steps correspondingly performed by the data mapping means in the method embodiments described above.
In particular, the integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer-readable storage medium 60. Based on such understanding, the technical solution of the present application, or a part or all of the technical solution contributing to the prior art, may be embodied in the form of a software product stored in a computer-readable storage medium 60, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) or a processor (processor) to perform all or part of the steps of the methods of the embodiments of the present application. And the aforementioned computer-readable storage medium 60 includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The foregoing description is only a partial embodiment of the present application, and is not intended to limit the scope of the present application, and all equivalent devices or equivalent processes using the descriptions and the drawings of the present application or directly or indirectly applied to other related technical fields are included in the scope of the present application.
Claims (10)
1. A method of mapping data, comprising:
acquiring source data;
determining mapping type codes of the source data and mapping type codes of target data to be mapped from a first data structure according to the source data;
determining a mapping relation between the data identification of the source data and the data identification of the target data from a second data structure according to the mapping type code of the source data and the mapping type code of the target data;
converting the source data into the target data according to the mapping relation;
the first data structure includes a plurality of sets of first candidate matching data stored in advance, each set of first candidate matching data includes first valid information, and the determining, according to the source data, a mapping type code of the source data and a mapping type code of target data to be mapped from the first data structure includes: confirming the first candidate matching data which is currently effective according to the first effective information, matching the first candidate matching data with the first candidate matching data which is currently effective, and taking a first target mapping type code in the matched first candidate matching data as a mapping type code of the target data;
the second data structure includes a plurality of sets of second candidate matching data, each set of second candidate matching data includes second valid information, and the mapping relationship between the data identifier of the source data and the data identifier of the target data is determined from the second data structure according to the mapping type code of the source data and the mapping type code of the target data, and the method includes: and confirming the second candidate matching data which is currently effective according to the second effective information, matching the second candidate matching data with the second candidate matching data which is currently effective, and determining the mapping relation between the data identification of the source data and the data identification of the target data according to the matched second candidate matching data.
2. The data mapping method according to claim 1, wherein each set of the first candidate matching data includes a first source mapping type code, a first target mapping type code, and first description information associated with each other;
the step of determining the mapping type code of the source data and the mapping type code of the target data to be mapped from the first data structure according to the source data comprises the following steps:
and matching the mapping type code of the source data and/or the description information to be matched associated with the source data with the first source mapping type code and/or the first description information in each group of the first candidate matching data, and further using the first target mapping type code in the matched first candidate matching data as the mapping type code of the target data.
3. The data mapping method according to claim 2, wherein the first description information includes name information and/or department information.
4. The data mapping method of claim 2, wherein each set of the first candidate matching data further comprises a first creation time and/or a first modification time.
5. The data mapping method according to claim 2, further comprising, before the step of acquiring the source data:
respectively distributing unique mapping type codes for each data type used by a system to be mapped;
respectively associating the mapping type codes of the two data types with mapping relation as a first source mapping type code and a first target mapping type code to form first candidate matching data;
adding the first descriptive information to the first candidate matching data;
the first candidate matching data is imported into the first data structure.
6. The data mapping method according to claim 2, wherein each set of the second candidate matching data includes a second source mapping type code, a second target mapping type code, and a plurality of data identification association pairs associated with each other;
the step of determining the mapping relationship between the data identifier of the source data and the target data from the second data structure according to the mapping type code of the source data and the mapping type code of the target data comprises the following steps:
and matching the mapping type code of the source data and the mapping type code of the target data with a second source mapping type code and a second target mapping type code in each group of second candidate matching data respectively, and further determining the mapping relation between the data identification of the source data and the data identification of the target data according to the matched data identification association pair in the second candidate matching data.
7. The data mapping method of claim 6, wherein each set of the second candidate matching data further comprises a second creation time and/or a second modification time.
8. The data mapping method of claim 6, further comprising, prior to the step of obtaining the source data:
establishing mapping type codes and data identifications of two data types with mapping relation;
forming a plurality of groups of data identification association pairs between the data identifications of the two data types;
respectively using the mapping type codes of the two data types as a second source mapping type code and a second target mapping type code, and associating with the plurality of groups of data identification association pairs to form second candidate matching data;
and importing the second candidate matching data into the second data structure.
9. A data mapping apparatus, comprising: a processor and a memory coupled to each other;
the memory is configured to store program instructions for implementing the data mapping method according to any one of claims 1-8, and the processor is configured to execute the program instructions stored in the memory.
10. A computer readable storage medium, characterized in that a program file is stored, which program file is executable to implement the data mapping method according to any of claims 1-8.
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| CN113434943B (en) * | 2021-06-30 | 2024-05-31 | 广联达科技股份有限公司 | BIM standard code processing method and device, electronic equipment and readable storage medium |
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| CN110263223A (en) * | 2019-06-25 | 2019-09-20 | 深圳市元征科技股份有限公司 | A kind of data type method for transformation, device, equipment and medium |
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| CN106845787A (en) * | 2016-12-26 | 2017-06-13 | 大唐软件技术股份有限公司 | A kind of data method for automatically exchanging and device |
| CN109857736A (en) * | 2018-12-29 | 2019-06-07 | 苏州市环亚数据技术有限公司 | The data encoding of hospital's heterogeneous system unitized method and system, equipment, medium |
| CN110263223A (en) * | 2019-06-25 | 2019-09-20 | 深圳市元征科技股份有限公司 | A kind of data type method for transformation, device, equipment and medium |
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