CN108762933A - Quality of data method of calibration and device - Google Patents
Quality of data method of calibration and device Download PDFInfo
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- CN108762933A CN108762933A CN201810556408.5A CN201810556408A CN108762933A CN 108762933 A CN108762933 A CN 108762933A CN 201810556408 A CN201810556408 A CN 201810556408A CN 108762933 A CN108762933 A CN 108762933A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
- G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
- G06F9/5061—Partitioning or combining of resources
- G06F9/5072—Grid computing
Abstract
The present invention provides a kind of quality of data method of calibration and devices, are related to data check field.Quality of data method of calibration includes：Data source to be verified is parsed, data source metadata is obtained；The configuration of predefined checking process is parsed, the node configuration of the node of checking process configuration is obtained；The configuration of foundation node is by the node changeable assembling that checking process configures and is compiled into executable distributed computing services；Verification operation is carried out to data source according to executable distributed computing services and data source metadata, obtains check results.Quality of data method of calibration provided by the invention and device can make full use of calculating speed of the computing resource promotion to data quality indicator, meet and verify demand for the quality of data of data sustainable growth.
Description
Technical field
The present invention relates to data check fields, in particular to a kind of quality of data method of calibration and device.
Background technology
With the rapid development of present information network construction, software office, mobile Internet incorporates all trades and professions already.Companion
With the progress of software industry, the business of all trades and professions, by accumulation year in year out, necessarily leads to while Fast Construction
A large amount of business datum.While business datum generates, a large amount of wrong data also generates therewith, and the correctness of data is often
The service construction of influence business side.Therefore the quality problems of data face a severe challenge.
Traditional quality of data automation method of calibration using single machine or more mutually independent computing resource modes into
Row data check completes quality indicator, nothing when the quality of data to mass data is verified on multiple mutually independent single machines
Method makes full use of computing resource.It, cannot simple and quick effective expanding machinery resource promotion calculating energy in data sustainable growth
Power and the support that data volume is increased, inefficiency.
Invention content
In view of this, the embodiment of the present invention is designed to provide a kind of quality of data method of calibration and device, to improve
The above problem.
In a first aspect, an embodiment of the present invention provides a kind of quality of data method of calibration, it is applied in cluster server
One of server, the method includes：
Data source to be verified is parsed, data source metadata is obtained；
The configuration of predefined checking process is parsed, the node configuration of the node of the checking process configuration is obtained；
By node changeable assembling that the checking process configures and it is compiled into executable distribution according to node configuration
Formula calculates service；
The data source is verified according to the executable distributed computing services and the data source metadata
Operation obtains check results.
Optionally, node configuration include the node type of each check-node, node metadata and it is corresponding under
One check-node, the node metadata is for describing verification rule.
Optionally, the node type is null value verification, precision checking or format check.
Optionally, the method further includes：
Read the data source to be verified.
Optionally, described according to node configuration is by node changeable assembling that the checking process configures and be compiled into can
The distributed computing services of execution, including：
It is configured according to the node and the node that the checking process configures sequentially is assembled into distributed computing services；
The distributed computing services being assembled into are compiled into the executable distributed computing services.
Optionally, the executable distributed computing services of the basis and the data source metadata are to the data
Source carries out verification operation, including：
The big data computing platform that the executable distributed computing services are submitted to the cluster server, so as to
The big data computing platform distributes resource and reads the data source according to the data source metadata to be verified automatically
Operation.
Second aspect, an embodiment of the present invention provides a kind of quality of data calibration equipments, are applied in cluster server
One of server, the quality of data calibration equipment include：
First parsing module obtains data source metadata for being parsed to data source to be verified；
Second parsing module obtains the checking process configuration for being parsed to the configuration of predefined checking process
Node node configuration；
Editor module, for by node changeable assembling that the checking process configures and being compiled into according to node configuration
Executable distributed computing services；
Computing module, the distributed computing services executable for basis and the data source metadata are to the number
Verification operation is carried out according to source, obtains check results.
Optionally, quality of data calibration equipment further includes：
Read module, for reading the data source to be verified.
Optionally, the editor module includes：
Submodule is assembled, the node that the checking process configures sequentially is assembled into distribution for being configured according to the node
Formula calculates service；
Submodule is compiled, by being compiled into the distributed computing services being assembled into based on the executable distribution
Calculate service.
Optionally, the computing module is used to the distributed computing services that can perform submitting to the cluster service
The big data computing platform of device is distributed resource so as to the big data computing platform and is read according to the data source metadata automatically
The data source is taken to carry out verification operation.
For the prior art, quality of data method of calibration provided by the invention and device have following advantageous effect：
Quality of data method of calibration provided by the invention and device can make full use of computing resource and promoted to the quality of data
The calculating speed of verification meets and verifies demand for the quality of data of data sustainable growth.
To enable the above objects, features and advantages of the present invention to be clearer and more comprehensible, preferred embodiment cited below particularly, and coordinate
Appended attached drawing, is described in detail below.
Description of the drawings
In order to illustrate the technical solution of the embodiments of the present invention more clearly, below will be to needed in the embodiment attached
Figure is briefly described, it should be understood that the following drawings illustrates only certain embodiments of the present invention, therefore is not construed as pair
The restriction of range for those of ordinary skill in the art without creative efforts, can also be according to this
A little attached drawings obtain other relevant attached drawings.
Fig. 1 is that the server that present pre-ferred embodiments provide provides the schematic diagram that end interacts with data source.
Fig. 2 is the block diagram for the server that present pre-ferred embodiments provide.
Fig. 3 is the flow chart for the quality of data method of calibration that present pre-ferred embodiments provide.
Fig. 4 is the high-level schematic functional block diagram for the quality of data calibration equipment that present pre-ferred embodiments provide.
Fig. 5 is the high-level schematic functional block diagram of editor module in Fig. 4.
Icon：100- servers；110- quality of data calibration equipments；111- read modules；112- first parses mould；113-
Second parsing module；114- editor modules；1141- assembles submodule；1142- compiles submodule；115- computing modules；130- is deposited
Reservoir；150- processors；170- communication units；200- data sources provide end；300- networks.
Specific implementation mode
Below in conjunction with attached drawing in the embodiment of the present invention, technical solution in the embodiment of the present invention carries out clear, complete
Ground describes, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.Usually exist
The component of the embodiment of the present invention described and illustrated in attached drawing can be arranged and be designed with a variety of different configurations herein.Cause
This, the detailed description of the embodiment of the present invention to providing in the accompanying drawings is not intended to limit claimed invention below
Range, but it is merely representative of the selected embodiment of the present invention.Based on the embodiment of the present invention, those skilled in the art are not doing
The every other embodiment obtained under the premise of going out creative work, shall fall within the protection scope of the present invention.
It should be noted that：Similar label and letter indicate similar terms in following attached drawing, therefore, once a certain Xiang Yi
It is defined, then it further need not be defined and explained in subsequent attached drawing in a attached drawing.Meanwhile the present invention's
In description, term " first ", " second " etc. are only used for distinguishing description, are not understood to indicate or imply relative importance.
As shown in Figure 1, be present pre-ferred embodiments provide cluster server in one of server 100 with number
The schematic diagram that end 200 interacts is provided according to source.The server 100 is provided by network 300 and one or more data sources
End 200 is communicatively coupled, and the data source for needing to carry out quality of data verification that end 200 provides is provided to obtain data source.Institute
It can be network server, database server etc. to state server 100.It can be PC that the data source, which provides end 200,
(personal computer, PC), tablet computer, other servers etc..
As shown in Fig. 2, being the block diagram of server 100 one of in the cluster server.The service
Device 100 includes quality of data calibration equipment 110, memory 130, processor 150 and communication unit 170.
The memory 130, processor 150 and 170 each element of communication unit are directly or indirectly electrical between each other
Connection, to realize the transmission or interaction of data.For example, these elements can pass through one or more communication bus or letter between each other
Number line, which is realized, to be electrically connected.The quality of data calibration equipment 110 include it is at least one can be with software or firmware (firmware)
Form be stored in the memory 130 or be solidificated in the server 100 operating system (operating system,
OS the software function module in).The processor 150 is used to execute the executable module stored in the memory 130, such as
Software function module and computer program included by the quality of data calibration equipment 110 etc..
Wherein, the memory 130 may be, but not limited to, random access memory (Random Access
Memory, RAM), read-only memory (Read Only Memory, ROM), programmable read only memory (Programmable
Read-Only Memory, PROM), erasable read-only memory (Erasable Programmable Read-Only
Memory, EPROM), electricallyerasable ROM (EEROM) (Electric Erasable Programmable Read-Only
Memory, EEPROM) etc..Wherein, memory 130 is for storing program, the processor 150 after receiving and executing instruction,
Execute described program.The communication unit 170 is used to establish the server 100 and the data source by the network 300
The communication connection between end 200 is provided, and for passing through 300 transceiving data of the network.
Referring to Fig. 3, being being applied to quality of data calibration equipment 110 shown in 2 of providing of present pre-ferred embodiments
Quality of data method of calibration flow chart, flow shown in Fig. 3 will be described in detail below.
Step S101 reads the data source to be verified.
In the embodiment of the present invention, the cluster server provides end 300 by network 300 and data source and establishes communication connection
And it gets data source and the data source for needing to carry out quality of data verification that end 300 provides is provided.It is carried out to the data source
When the quality of data verifies, the server 100 first in cluster server reads the data source to be verified.
Step S102 parses data source to be verified, obtains data source metadata.
After server 100 reads data source to be verified, the data source to be verified read is parsed, is obtained
The metadata of data source to be verified, i.e. data source metadata, and obtained data source metadata is loaded into its memory.
Wherein, the data source metadata is the data for data source to be described, the data source metadata packet
It includes data source to be verified and corresponds to storage location, to find the data source to be verified according to data source metadata, such as
Corresponding IP address, port numbers and database.
Step S103 parses the configuration of predefined checking process, obtains the node of the node of checking process configuration
Configuration.
The server 100 is pre-defined to be useful for indicating that quality of data verification needs to carry out the school of which checking procedure
Flow configuration is tested, the checking process configuration includes multiple check-nodes, and each check-node corresponds to a kind of verification, such as null value
Verification, precision checking, format check etc..
When being verified to data source, this is pre-defined checking process configuration and parsed by server 100, obtains institute
State the node configuration of the node of checking process configuration.The node configuration includes the node type (school of such as null value of each node
Test, precision checking or format check), next check-node and node metadata.Wherein, the node metadata is for retouching
State verification rule of its preceding check-node to data.
In the embodiment of the present invention, the pre-defined checking process configuration can be pre-set in server 100
, can also be user's root by (being communicated to connect with the server 100) back-stage management terminal before quality of data verification
It is uploaded according to actual needs.
Step S104 by node changeable assembling that checking process configures and is compiled into executable according to node configuration
Distributed computing services.
The node of the node of checking process configuration is obtained with postponing, the node dynamic that server 100 configures checking process
It assembles and is compiled into the distributed computing services that can be executed.
Specifically, server 100 reads data source metadata first, it will according to node configuration and data source metadata
The node of the checking process configuration is sequentially assembled into distributed computing services (distributed-computation program).
Then, the code on-the-flier compiler for the distributed computing services that server 100 forms assembling, forming it into one can
The distributed computing services of execution.
Step S105 carries out verification fortune according to executable distributed computing services and data source metadata to data source
It calculates, obtains check results.
After being compiled into executable distributed computing services, server 100 carries the executable distributed computing services
It is sent to the big data computing platform of cluster server, then distributes computing resource automatically by big data computing platform, and according to number
Data source is read according to source metadata and carries out verification operation, obtains check results.
In conclusion quality of data method of calibration provided in an embodiment of the present invention is by configuring predefined checking process
It is parsed, obtains the node configuration of the node of checking process configuration, the data source member number for then configuring and reading according to node
According to the node changeable assembling configured to checking process and executable distributed computing services are compiled into, it is finally that this is executable
Distributed computing services are submitted to the big data computing platform of cluster server, distribute calculating money automatically by big data computing platform
Source, and data source is read according to data source metadata and carries out verification operation, obtain check results.So it can make full use of distribution
The big data computing capability of formula computing platform, makes full use of computing resource, in data sustainable growth, can quickly and effectively expand
Calculation resources are opened up, the computing capability to data quality indicator is promoted, meets and need is verified for the quality of data of data sustainable growth
It asks.
Referring to Fig. 4, being the function for the quality of data calibration equipment 110 shown in Fig. 2 that present pre-ferred embodiments provide
Module diagram.The quality of data calibration equipment 110 includes that read module 111, first parses mould 112, the second parsing module
113, editor module 114 and computing module 115.
The read module 111 is for reading the data source to be verified
It should be understood that the read module 111 can be used for executing above-mentioned step S101.
The first parsing mould 112 obtains data source metadata for being parsed to data source to be verified.
It should be understood that the first parsing mould 112 can be used for executing above-mentioned step S102.
The second parsing mould 113 is used to parse the configuration of predefined checking process, obtains the checking process
The node of the node of configuration configures.
It should be understood that the second parsing mould 113 can be used for executing above-mentioned step S103.
The editor module 114 is used to configure the node changeable assembling for configuring the checking process according to the node simultaneously
It is compiled into executable distributed computing services.
Referring to Fig. 5, the editor module 114 includes assembling submodule 1141 and compiling submodule 1142.
The assembling submodule 1141 is used to configure the node for configuring the checking process sequentially group according to the node
Dress up distributed computing services.The compiling submodule 1142 is used to the distributed computing services being assembled into being compiled into institute
State executable distributed computing services.
It should be understood that the editor module 114 can be used for executing above-mentioned step S104.
The computing module 115 is used for according to the executable distributed computing services and the data source metadata pair
The data source carries out verification operation, obtains check results.
It should be understood that the computing module 115 can be used for executing above-mentioned step S105.
In conclusion quality of data calibration equipment 110 provided in an embodiment of the present invention can be by predefined checking process
Configuration is parsed, and the node configuration of the node of checking process configuration, the data source for then configuring and reading according to node are obtained
Node changeable assembling that metadata configures checking process is simultaneously compiled into executable distributed computing services, finally can hold this
Capable distributed computing services are submitted to the big data computing platform of cluster server, and meter is distributed automatically by big data computing platform
Resource is calculated, and data source is read according to data source metadata and carries out verification operation, obtains check results.So it can make full use of
The big data computing capability of Distributed Computing Platform, makes full use of computing resource, can be fast and effective in data sustainable growth
Extended arithmetic resource, promoted to the computing capability of data quality indicator, meet the quality of data school for data sustainable growth
Test demand.
In several embodiments provided herein, it should be understood that disclosed device and method can also pass through
Other modes are realized.The apparatus embodiments described above are merely exemplary, for example, the flow chart in attached drawing and block diagram
Show the device of multiple embodiments according to the present invention, the architectural framework in the cards of method and computer program product,
Function and operation.In this regard, each box in flowchart or block diagram can represent the one of a module, section or code
Part, a part for the module, section or code, which includes that one or more is for implementing the specified logical function, to be held
Row instruction.It should also be noted that at some as in the realization method replaced, the function of being marked in box can also be to be different from
The sequence marked in attached drawing occurs.For example, two continuous boxes can essentially be basically executed in parallel, they are sometimes
It can execute in the opposite order, this is depended on the functions involved.It is also noted that every in block diagram and or flow chart
The combination of box in a box and block diagram and or flow chart can use function or the dedicated base of action as defined in executing
It realizes, or can be realized using a combination of dedicated hardware and computer instructions in the system of hardware.
In addition, each function module in each embodiment of the present invention can integrate to form an independent portion
Point, can also be modules individualism, can also two or more modules be integrated to form an independent part.
It, can be with if the function is realized and when sold or used as an independent product in the form of software function module
It is stored in a computer read/write memory medium.Based on this understanding, technical scheme of the present invention is substantially in other words
The part of the part that contributes to existing technology or the technical solution can be expressed in the form of software products, the meter
Calculation machine software product is stored in a storage medium, including some instructions are used so that a computer equipment (can be
People's computer, server or network equipment etc.) it performs all or part of the steps of the method described in the various embodiments of the present invention.
And storage medium above-mentioned includes：USB flash disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), arbitrary access are deposited
The various media that can store program code such as reservoir (RAM, Random Access Memory), magnetic disc or CD.It needs
Illustrate, herein, relational terms such as first and second and the like be used merely to by an entity or operation with
Another entity or operation distinguish, and without necessarily requiring or implying between these entities or operation, there are any this realities
The relationship or sequence on border.Moreover, the terms "include", "comprise" or its any other variant are intended to the packet of nonexcludability
Contain, so that the process, method, article or equipment including a series of elements includes not only those elements, but also includes
Other elements that are not explicitly listed, or further include for elements inherent to such a process, method, article, or device.
In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that including the element
Process, method, article or equipment in there is also other identical elements.
The foregoing is only a preferred embodiment of the present invention, is not intended to restrict the invention, for the skill of this field
For art personnel, the invention may be variously modified and varied.All within the spirits and principles of the present invention, any made by repair
Change, equivalent replacement, improvement etc., should all be included in the protection scope of the present invention.It should be noted that：Similar label and letter exist
Similar terms are indicated in following attached drawing, therefore, once being defined in a certain Xiang Yi attached drawing, are then not required in subsequent attached drawing
It is further defined and is explained.
The above description is merely a specific embodiment, but scope of protection of the present invention is not limited thereto, any
Those familiar with the art in the technical scope disclosed by the present invention, can easily think of the change or the replacement, and should all contain
Lid is within protection scope of the present invention.Therefore, protection scope of the present invention should be based on the protection scope of the described claims.
Claims (10)
1. a kind of quality of data method of calibration, applied to server one of in cluster server, which is characterized in that described
Method includes：
Data source to be verified is parsed, data source metadata is obtained；
The configuration of predefined checking process is parsed, the node configuration of the node of the checking process configuration is obtained；
By node changeable assembling that the checking process configures and it is compiled into executable distributed count according to node configuration
Calculate service；
Verification operation is carried out to the data source according to the executable distributed computing services and the data source metadata,
Obtain check results.
2. according to the method described in claim 1, it is characterized in that, node configuration includes the node class of each check-node
Type, node metadata and corresponding next check-node, the node metadata is for describing verification rule.
3. according to the method described in claim 2, it is characterized in that, the node type is null value verification, precision checking or lattice
Formula verifies.
4. according to the method described in claim 1, it is characterized in that, the method further includes：
Read the data source to be verified.
5. according to the method described in claim 1, it is characterized in that, described configured according to the node matches the checking process
The node changeable assembling set simultaneously is compiled into executable distributed computing services, including：
It is configured according to the node and the node that the checking process configures sequentially is assembled into distributed computing services；
The distributed computing services being assembled into are compiled into the executable distributed computing services.
6. according to the method described in claim 1, it is characterized in that, the executable distributed computing services of the basis and
The data source metadata carries out verification operation to the data source, including：
The big data computing platform that the executable distributed computing services are submitted to the cluster server, so as to described
Big data computing platform distributes resource and reads the data source according to the data source metadata to carry out verification operation automatically.
7. a kind of quality of data calibration equipment, applied to server one of in cluster server, which is characterized in that described
Quality of data calibration equipment includes：
First parsing module obtains data source metadata for being parsed to data source to be verified；
Second parsing module obtains the section of the checking process configuration for being parsed to the configuration of predefined checking process
The node configuration of point；
Editor module, for by node changeable assembling that the checking process configures and being compiled into and can hold according to node configuration
Capable distributed computing services；
Computing module, the distributed computing services executable for basis and the data source metadata are to the data source
Verification operation is carried out, check results are obtained.
8. quality of data calibration equipment according to claim 7, which is characterized in that further include：
Read module, for reading the data source to be verified.
9. quality of data calibration equipment according to claim 7, which is characterized in that the editor module includes：
Assemble submodule, by configured according to the node node that the checking process configures sequentially is assembled into it is distributed based on
Calculate service；
Submodule is compiled, is taken for the distributed computing services being assembled into be compiled into the executable Distributed Calculation
Business.
10. quality of data calibration equipment according to claim 7, which is characterized in that the computing module is for that can hold
The capable distributed computing services submit to the big data computing platform of the cluster server, so that the big data calculates
Platform distributes resource and reads the data source according to the data source metadata to carry out verification operation automatically.
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| CN201810556408.5A CN108762933A (en) | 2018-05-31 | 2018-05-31 | Quality of data method of calibration and device |
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| CN201810556408.5A CN108762933A (en) | 2018-05-31 | 2018-05-31 | Quality of data method of calibration and device |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN109669930A (en) * | 2018-12-14 | 2019-04-23 | 成都四方伟业软件股份有限公司 | Quality of data report-generating method and system |
| CN109685360A (en) * | 2018-12-19 | 2019-04-26 | 成都四方伟业软件股份有限公司 | Data quality checking method and device |
| CN110784479A (en) * | 2019-11-01 | 2020-02-11 | 北京奇艺世纪科技有限公司 | Data verification method and device, electronic equipment and storage medium |
| CN110851539A (en) * | 2019-10-25 | 2020-02-28 | 东软集团股份有限公司 | Metadata verification method and device, readable storage medium and electronic equipment |
| CN111444224A (en) * | 2020-03-24 | 2020-07-24 | 政采云有限公司 | Service data verification method and device |
| CN112527820A (en) * | 2020-12-09 | 2021-03-19 | 航天信息股份有限公司广州航天软件分公司 | Method and system for carrying out unified verification on various types of service application data |
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| CN103718151A (en) * | 2013-08-09 | 2014-04-09 | 华为技术有限公司 | Document processing method and storage device |
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN109669930A (en) * | 2018-12-14 | 2019-04-23 | 成都四方伟业软件股份有限公司 | Quality of data report-generating method and system |
| CN109685360A (en) * | 2018-12-19 | 2019-04-26 | 成都四方伟业软件股份有限公司 | Data quality checking method and device |
| CN110851539A (en) * | 2019-10-25 | 2020-02-28 | 东软集团股份有限公司 | Metadata verification method and device, readable storage medium and electronic equipment |
| CN110784479A (en) * | 2019-11-01 | 2020-02-11 | 北京奇艺世纪科技有限公司 | Data verification method and device, electronic equipment and storage medium |
| CN111444224A (en) * | 2020-03-24 | 2020-07-24 | 政采云有限公司 | Service data verification method and device |
| CN111444224B (en) * | 2020-03-24 | 2023-08-15 | 政采云有限公司 | Service data verification method and device |
| CN112527820A (en) * | 2020-12-09 | 2021-03-19 | 航天信息股份有限公司广州航天软件分公司 | Method and system for carrying out unified verification on various types of service application data |
| CN112527820B (en) * | 2020-12-09 | 2024-04-09 | 航天信息股份有限公司广州航天软件分公司 | Method and system for uniformly checking various service application data |
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