CN113961590A - Multi-source data fusion method and device and electronic equipment - Google Patents
Multi-source data fusion method and device and electronic equipment Download PDFInfo
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Abstract
The embodiment of the invention discloses a multi-source data fusion method, a multi-source data fusion device and electronic equipment, wherein the multi-source data fusion method comprises the following steps: creating a detail table of data to be fused in a columnar database based on fields contained in a plurality of data sources to be fused, wherein the detail table comprises all fields of the plurality of data sources; adding data contained in a plurality of data sources into a columnar database according to fields contained in the detail table; and slightly summarizing the data in the column-type database according to business logic related to the data contained in the plurality of data sources to obtain a plurality of summarized result sets. By adopting the scheme, the adverse effect on the original database during multi-source data fusion is reduced.
Description
Technical Field
The invention relates to the technical field of databases, in particular to a multi-source data fusion method and device and electronic equipment.
Background
In the actual project application based on the database, with the continuous addition and improvement of new requirements and functions, different data sources are frequently required to be accessed in the first project stage, the second project stage and the third project stage, so that data fusion is obviously necessary.
The conventional method is to modify and expand a project-stage database (a database storing project-stage data), which is really feasible, but brings problems, for example, the structure of the project-stage database needs to be modified, during the modification, some unpredictable bugs may be generated, which affect the stability of the project-stage database; meanwhile, the data of the project second stage and the project third stage are accessed into the database of the project first stage, so that great pressure is brought to the database of the project first stage, and the query speed of the database aiming at the project first stage is slowed down.
Disclosure of Invention
In view of this, embodiments of the present invention provide a multi-source data fusion method, apparatus and electronic device, so as to solve the problem in the prior art that an original database is adversely affected during multi-source data fusion.
In a first aspect, an embodiment of the present invention provides a multi-source data fusion method, including:
creating a detail table of data to be fused in a columnar database based on fields contained in a plurality of data sources to be fused, wherein the detail table comprises all the fields of the plurality of data sources;
adding data contained in the plurality of data sources to the columnar database according to fields contained in the detail table;
and slightly summarizing the data in the column-type database according to business logic related to the data contained in the data sources to obtain a plurality of summarized result sets.
According to a specific implementation manner of the embodiment of the present invention, the creating a list of data to be fused in a columnar database based on fields included in a plurality of data sources to be fused includes:
the method comprises the steps of creating a plurality of detail tables of data to be fused in a columnar database according to correlation among fields contained in a plurality of data sources to be fused on the basis of the fields contained in the data sources to be fused, wherein the correlation among the fields contained in each detail table meets a preset correlation condition, and all the fields of the data sources are contained in the detail tables.
According to a specific implementation manner of the embodiment of the present invention, the slightly aggregating the data in the columnar database according to the business logic related to the data included in the plurality of data sources includes:
and according to business logic related to the data contained in the plurality of data sources, slightly summarizing the data contained in the detail table in the column database for each detail table.
According to a specific implementation manner of the embodiment of the present invention, the method further includes:
acquiring a data query condition;
selecting a summary result set matched with the data query condition from the plurality of summary result sets as a summary result set to be queried;
and performing data query according to the data query conditions from the summary result set to be queried.
According to a specific implementation manner of the embodiment of the invention, the column database is a clickwouse column database.
According to a specific implementation of the embodiment of the invention, the plurality of summarized result sets are a plurality of materialized view result sets.
In a second aspect, an embodiment of the present invention further provides a multi-source data fusion apparatus, including:
the data fusion method comprises a detail table creating module, a detail table creating module and a data fusion module, wherein the detail table creating module is used for creating a detail table of data to be fused in a columnar database based on fields contained in a plurality of data sources to be fused, and the detail table comprises all the fields of the plurality of data sources;
the data adding module is used for adding data contained in the data sources into the column database according to fields contained in the detail table;
and the data summarizing module is used for slightly summarizing the data in the column-type database according to the business logic related to the data contained in the data sources to obtain a plurality of summarizing result sets.
According to a specific implementation manner of the embodiment of the present invention, the detail table creating module is specifically configured to create, in a columnar database, a plurality of detail tables of data to be fused based on fields included in a plurality of data sources to be fused, according to correlations between the fields included in the plurality of data sources, where correlations between a plurality of fields included in each detail table satisfy a preset correlation condition, and the plurality of detail tables include all the fields of the plurality of data sources.
According to a specific implementation manner of the embodiment of the present invention, the data summarization module is specifically configured to perform, for each detail table, light summarization on data included in the detail table in the columnar database according to business logic related to the data included in the plurality of data sources.
According to a specific implementation manner of the embodiment of the present invention, the method further includes:
the condition acquisition module is used for acquiring data query conditions;
the result set selection module is used for selecting a summary result set matched with the data query condition from the plurality of summary result sets as a summary result set to be queried;
and the data query module is used for performing data query according to the data query conditions from the summary result set to be queried.
According to a specific implementation manner of the embodiment of the invention, the column database is a clickwouse column database.
According to a specific implementation of the embodiment of the invention, the plurality of summarized result sets are a plurality of materialized view result sets.
In a third aspect, an embodiment of the present invention further provides an electronic device, where the electronic device includes: the device comprises a shell, a processor, a memory, a circuit board and a power circuit, wherein the circuit board is arranged in a space enclosed by the shell, and the processor and the memory are arranged on the circuit board; a power supply circuit for supplying power to each circuit or device of the electronic apparatus; the memory is used for storing executable program codes; the processor executes the program corresponding to the executable program code by reading the executable program code stored in the memory, and is used for executing the method of any one of the foregoing implementation modes.
In a fourth aspect, the embodiments of the present invention also provide a computer-readable storage medium, where one or more programs are stored, and the one or more programs are executable by one or more processors to implement the method according to any one of the embodiments of the present invention.
In a fifth aspect, an embodiment of the present invention further provides an application program, where the application program is executed to implement the method according to any one of the embodiments of the present invention.
In the multi-source data fusion method provided by the embodiment of the invention, a detail list of data to be fused is created in a columnar database based on fields contained in a plurality of data sources to be fused, wherein the detail list comprises all the fields of the plurality of data sources; adding data contained in a plurality of data sources into a columnar database according to fields contained in the detail table; according to the business logic related to the data contained in the multiple data sources, the data in the column-type database is slightly summarized to obtain multiple summarized result sets, and therefore fusion of the data of the multiple data sources is achieved. In addition, in the process of data fusion, the structure of the original database does not need to be changed, and new data is not added in the original database, so that the stability of the original database is not influenced, the generation of new bugs is avoided, the data query speed aiming at the original database is not reduced, and the adverse influence on the original database is reduced.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a flow chart of a multi-source data fusion method provided by an embodiment of the invention;
FIG. 2 is a diagram illustrating a multi-source data fusion method according to an embodiment of the present invention;
FIG. 3 is a flow chart of a multi-source data fusion method according to another embodiment of the invention;
FIG. 4-1 is a schematic structural diagram of a multi-source data fusion apparatus according to an embodiment of the present invention;
FIG. 4-2 is a schematic structural diagram of a multi-source data fusion apparatus according to another embodiment of the present invention;
fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
Embodiments of the present invention will be described in detail below with reference to the accompanying drawings. It should be understood that the described embodiments are only some embodiments of the invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
An embodiment of the present invention provides a multi-source data fusion method, as shown in fig. 1, including:
step 11, creating a detail list of data to be fused in a columnar database based on fields contained in a plurality of data sources to be fused, wherein the detail list comprises all the fields of the plurality of data sources;
and step 13, slightly summarizing the data in the column-type database according to business logic related to the data contained in the plurality of data sources to obtain a plurality of summarized result sets.
By adopting the multi-source data fusion method provided by the embodiment of the invention, in the process of fusing the data of a plurality of data sources, the structure of the original database is not required to be changed, and new data is not added in the original database, so that the stability of the original database is not influenced, the generation of new bugs is avoided, the data query speed aiming at the original database is not reduced, and the adverse influence on the original database is reduced.
The method and the device provided by the embodiment of the invention are described in detail below with reference to the accompanying drawings.
Another embodiment of the present invention further provides a multi-source Data fusion method, a schematic diagram of which is shown in fig. 2, taking 3 Data sources as an example, the three Data sources are PostgreSQL, Oracle, and Hadoop, and the three Data sources are located in a source overlay (Operation Data Store), by using the multi-source Data fusion method provided in the embodiment of the present invention, Data of the three Data sources are fused, and a flow of the method is shown in fig. 3, and the method may include the following steps:
Each data source may include data of a plurality of fields, and in order to enable fusion of all data of the plurality of data sources, all fields of the plurality of data sources are included in a plurality of lists created in the columnar database in the step.
In this step, the preset relevant conditions of the fields can be flexibly set based on actual business requirements, a plurality of detail lists are created, and each field meeting the preset relevant conditions is placed in one detail list, so that the subsequent extraction and use of data in each detail list are facilitated.
In the embodiment of the present invention, different detail tables may have the same field.
In the embodiment of the present invention, the adopted column database may be a clickwouse column database.
As shown in fig. 2, based on 3 Data sources, 2 ClickHouse Detail tables, i.e., ClickHouse Detail table 1 and ClickHouse Detail table 2, are created, and 2 ClickHouse Detail tables are located in a Detail layer (Data ware Detail).
And step 32, adding the data contained in the plurality of data sources into the columnar database according to the fields contained in the detail table.
In this step, an ETL (Extract-Transform-Load) tool, such as a key tool, may be used to connect the three data sources PostgreSQL, Oracle, and Hadoop, respectively, and the data of the three data sources are fused into the detail table of the ClickHouse columnar database using SQL.
After this step is performed, all data in three data sources, PostgreSQL, Oracle, and Hadoop, have been added to the detail layer shown in fig. 2.
And step 33, according to business logic related to the data contained in the data sources, slightly summarizing the data contained in the detail tables in the column database aiming at each detail table to obtain a plurality of summarized result sets.
Slightly summarize data and obtain a plurality of result sets that summarize, the follow-up needs to data query of being convenient for promote inquiry speed.
The service logic related to the data included in the multiple data sources may be flexibly set based on actual service requirements and characteristics of the data, and is not specifically limited herein.
Aiming at the ClickHouse column-type database, after data are slightly aggregated, a plurality of materialized view result sets can be obtained, so that the query speed is further improved in the subsequent data query.
As shown in fig. 2, after the Data of the 2 ClickHouse detail tables of the detail layer are lightly summarized, n summarized result sets are obtained, and the obtained n summarized result sets are located in a light summarized layer (Data waterhouse Service).
Based on the summary result set obtained by fusing the Data of the 3 Data sources and slightly summarizing, as shown in fig. 2, a Data query service may be provided to a user at an Application Data Store (Application Data Store), which may specifically include the following steps:
and step 34, acquiring data query conditions.
The data query condition may be input by a user based on a front-end presentation page.
And step 35, selecting a summary result set matched with the data query condition from the plurality of summary result sets as a summary result set to be queried.
The summary result set is obtained by slightly summarizing the data based on the business logic, and the data query condition has a relationship with the business logic, so in the step, the summary result set matched with the data query condition can be selected from the plurality of summary result sets.
And step 36, performing data query according to the data query conditions from the summary result set to be queried.
In the embodiment of the invention, when data in a certain data source is updated, the data can be updated into the detail table of the detail layer firstly, and then the data is slightly summarized and updated into the summary result set of the slightly summarized layer.
Based on the same inventive concept, according to the multi-source data fusion method provided in the embodiments of the present invention, an embodiment of the present invention further provides a multi-source data fusion apparatus, as shown in fig. 4-1, including:
a detail table creating module 41, configured to create a detail table of data to be fused in a columnar database based on fields included in multiple data sources to be fused, where the detail table includes all the fields of the multiple data sources;
a data adding module 42, configured to add data included in the multiple data sources to the columnar database according to fields included in the detail table;
and the data summarizing module 43 is configured to slightly summarize data in the columnar database according to business logic related to data included in the multiple data sources, so as to obtain multiple summarizing result sets.
According to a specific implementation manner of the embodiment of the present invention, the detail table creating module 41 is specifically configured to create, in the columnar database, a plurality of detail tables of the data to be fused based on fields included in the plurality of data sources to be fused according to correlations between the fields included in the plurality of data sources, where the correlations between the fields included in each of the detail tables satisfy a preset correlation condition, and the plurality of detail tables include all the fields of the plurality of data sources.
According to a specific implementation manner of the embodiment of the present invention, the data summarizing module 43 is specifically configured to slightly summarize, for each detail table, data included in the detail table in the columnar database according to business logic related to data included in the plurality of data sources.
According to a specific implementation manner of the embodiment of the present invention, as shown in fig. 4-2, the method further includes:
a condition obtaining module 44, configured to obtain a data query condition;
a result set selection module 45, configured to select, from the multiple summarized result sets, a summarized result set that matches the data query condition as a summarized result set to be queried;
and the data query module 46 is configured to perform data query according to the data query condition from the summary result set to be queried.
According to a specific implementation manner of the embodiment of the invention, the columnar database is a ClickHouse columnar database.
According to a specific implementation of an embodiment of the invention, the plurality of summarized result sets are a plurality of materialized view result sets.
The apparatus of this embodiment may be used to implement the technical solutions of the method embodiments shown in fig. 1 to fig. 3, and the implementation principles and technical effects are similar, which are not described herein again.
The embodiment of the invention also provides electronic equipment, and the electronic equipment comprises the device in any one of the embodiments.
Fig. 5 is a schematic structural diagram of an embodiment of an electronic device of the present invention, which can implement the processes of the embodiments shown in fig. 1 to 3 of the present invention, and as shown in fig. 5, the electronic device may include: the device comprises a shell 51, a processor 52, a memory 53, a circuit board 54 and a power circuit 55, wherein the circuit board 54 is arranged inside a space enclosed by the shell 51, and the processor 52 and the memory 53 are arranged on the circuit board 54; a power supply circuit 55 for supplying power to each circuit or device of the electronic apparatus; the memory 53 is used to store executable program code; the processor 52 reads the executable program code stored in the memory 53 to run a program corresponding to the executable program code, so as to execute the multi-source data fusion method according to any one of the foregoing embodiments.
The specific execution process of the above steps by the processor 52 and the steps further executed by the processor 52 by running the executable program code may refer to the description of the embodiment shown in fig. 1 to 3 of the present invention, and are not described herein again.
The electronic device exists in a variety of forms, including but not limited to:
(1) a mobile communication device: such devices are characterized by mobile communications capabilities and are primarily targeted at providing voice, data communications. Such terminals include: smart phones (e.g., iphones), multimedia phones, functional phones, and low-end phones, among others.
(2) Ultra mobile personal computer device: the equipment belongs to the category of personal computers, has calculation and processing functions and generally has the characteristic of mobile internet access. Such terminals include: PDA, MID, and UMPC devices, etc., such as ipads.
(3) A portable entertainment device: such devices can display and play multimedia content. This type of device comprises: audio, video players (e.g., ipods), handheld game consoles, electronic books, and smart toys and portable car navigation devices.
(4) A server: the device for providing the computing service comprises a processor, a hard disk, a memory, a system bus and the like, and the server is similar to a general computer architecture, but has higher requirements on processing capacity, stability, reliability, safety, expandability, manageability and the like because of the need of providing high-reliability service.
(5) And other electronic equipment with data interaction function.
Embodiments of the present invention also provide a computer-readable storage medium, which stores one or more programs that can be executed by one or more processors to implement the method according to any embodiment of the present invention.
Embodiments of the present invention also provide an application program, which is executed to implement the method provided in any of the embodiments of the present invention.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, 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 a process, method, article, or apparatus that comprises the element.
All the embodiments in the present specification are described in a related manner, and the same and similar parts among the embodiments may be referred to each other, and each embodiment focuses on the differences from the other embodiments.
In particular, as for the apparatus embodiment, since it is substantially similar to the method embodiment, the description is relatively simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
For convenience of description, the above devices are described separately in terms of functional division into various units/modules. Of course, the functionality of the units/modules may be implemented in one or more software and/or hardware implementations of the invention.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), or the like.
The above description is only for the specific embodiment of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention are included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (14)
1. A multi-source data fusion method, comprising:
creating a detail table of data to be fused in a columnar database based on fields contained in a plurality of data sources to be fused, wherein the detail table comprises all the fields of the plurality of data sources;
adding data contained in the plurality of data sources to the columnar database according to fields contained in the detail table;
and slightly summarizing the data in the column-type database according to business logic related to the data contained in the data sources to obtain a plurality of summarized result sets.
2. The multi-source data fusion method according to claim 1, wherein the creating a list of data to be fused in a columnar database based on fields contained in the data sources to be fused comprises:
the method comprises the steps of creating a plurality of detail tables of data to be fused in a columnar database according to correlation among fields contained in a plurality of data sources to be fused on the basis of the fields contained in the data sources to be fused, wherein the correlation among the fields contained in each detail table meets a preset correlation condition, and all the fields of the data sources are contained in the detail tables.
3. The multi-source data fusion method of claim 2, wherein the lightly aggregating data in the columnar database according to business logic related to data contained in the plurality of data sources comprises:
and according to business logic related to the data contained in the plurality of data sources, slightly summarizing the data contained in the detail table in the column database for each detail table.
4. The multi-source data fusion method of claim 1, further comprising:
acquiring a data query condition;
selecting a summary result set matched with the data query condition from the plurality of summary result sets as a summary result set to be queried;
and performing data query according to the data query conditions from the summary result set to be queried.
5. The multi-source data fusion method of any one of claims 1-4, wherein the columnar database is a ClickHouse columnar database.
6. The multi-source data fusion method of any one of claims 1-4 wherein the plurality of aggregated result sets are a plurality of materialized view result sets.
7. A multi-source data fusion apparatus, comprising:
the data fusion method comprises a detail table creating module, a detail table creating module and a data fusion module, wherein the detail table creating module is used for creating a detail table of data to be fused in a columnar database based on fields contained in a plurality of data sources to be fused, and the detail table comprises all the fields of the plurality of data sources;
the data adding module is used for adding data contained in the data sources into the column database according to fields contained in the detail table;
and the data summarizing module is used for slightly summarizing the data in the column-type database according to the business logic related to the data contained in the data sources to obtain a plurality of summarizing result sets.
8. The multi-source data fusion device according to claim 7, wherein the detail table creating module is specifically configured to create, in the columnar database, a plurality of detail tables of the data to be fused according to correlations between fields included in the plurality of data sources based on the fields included in the plurality of data sources to be fused, where the correlations between the fields included in each detail table satisfy a preset correlation condition, and the plurality of detail tables include all the fields of the plurality of data sources.
9. The multi-source data fusion device of claim 8, wherein the data summarization module is configured to perform a light summarization on data contained in each detail table in the columnar database according to business logic related to the data contained in the plurality of data sources.
10. The multi-source data fusion apparatus of claim 7, further comprising:
the condition acquisition module is used for acquiring data query conditions;
the result set selection module is used for selecting a summary result set matched with the data query condition from the plurality of summary result sets as a summary result set to be queried;
and the data query module is used for performing data query according to the data query conditions from the summary result set to be queried.
11. The multi-source data fusion appliance of any of claims 7-10 wherein the columnar database is a clickwouse columnar database.
12. The multi-source data fusion apparatus of any one of claims 7-10 wherein the plurality of aggregated result sets are a plurality of materialized view result sets.
13. An electronic device, characterized in that the electronic device comprises: the device comprises a shell, a processor, a memory, a circuit board and a power circuit, wherein the circuit board is arranged in a space enclosed by the shell, and the processor and the memory are arranged on the circuit board; a power supply circuit for supplying power to each circuit or device of the electronic apparatus; the memory is used for storing executable program codes; the processor executes a program corresponding to the executable program code by reading the executable program code stored in the memory for performing the method of any of the preceding claims.
14. A computer readable storage medium, characterized in that the computer readable storage medium stores one or more programs which are executable by one or more processors to implement the method of any preceding claim.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115081544A (en) * | 2022-07-22 | 2022-09-20 | 国网浙江省电力有限公司 | Power grid equipment panoramic model data processing method based on multi-source data fusion |
| CN116150175A (en) * | 2023-04-18 | 2023-05-23 | 云账户技术(天津)有限公司 | Heterogeneous data source-oriented data consistency verification method and device |
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2021
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115081544A (en) * | 2022-07-22 | 2022-09-20 | 国网浙江省电力有限公司 | Power grid equipment panoramic model data processing method based on multi-source data fusion |
| CN115081544B (en) * | 2022-07-22 | 2022-11-01 | 国网浙江省电力有限公司 | Power grid equipment panoramic model data processing method based on multi-source data fusion |
| CN116150175A (en) * | 2023-04-18 | 2023-05-23 | 云账户技术(天津)有限公司 | Heterogeneous data source-oriented data consistency verification method and device |
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