CN110069571A - A kind of automated data control methods and device, electronic equipment - Google Patents
A kind of automated data control methods and device, electronic equipment Download PDFInfo
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- CN110069571A CN110069571A CN201910203329.0A CN201910203329A CN110069571A CN 110069571 A CN110069571 A CN 110069571A CN 201910203329 A CN201910203329 A CN 201910203329A CN 110069571 A CN110069571 A CN 110069571A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/28—Databases characterised by their database models, e.g. relational or object models
- G06F16/284—Relational databases
Abstract
The present invention relates to data synchronization technology field, a kind of automated data control methods and device, electronic equipment are disclosed.The described method includes: receiving the first database search instruction and the instruction of the second database retrieval of user's input；Wherein, first database search instruction is instructed for extracting the first correlation data, the second database retrieval from first database for extracting the second correlation data from the second database；The first correlation data is extracted from first database according to first database search instruction；And the second correlation data is extracted from the second database according to the instruction of the second database retrieval；Analyze the different information between the first correlation data and the second correlation data；Comparing result is generated according to the different information that analysis obtains.As it can be seen that the database retrieval that can be inputted according to user instructs, the correlation data of retrieval is automatically extracted from database, and generate the comparing result after comparison, considerably reduce artificial workload.
Description
Technical field
The present invention relates to data synchronization technology field, in particular to a kind of automated data control methods and device, electronics
Equipment.
Background technique
In routine work, it will usually same part data are sent to different processing sides, and stored to different databases
In.For example, sales order is uploaded to head office system by branch company's system, to store into the database of head office system, together
When above-mentioned sales order can be also stored in the database of itself.Therefore, it in order to guarantee the consistency of data, generally requires pair
These contents are approximate, compare and analyze from the data of disparate databases, to discovery and correct mistake therein.It is based on
This demand, data comparison tool come into being, and can extract the difference between correlation data.
Data comparison tool on the market at present, such as Excel, need manually to inquire data in the database, and according to
Fixed format manually pastes the correlation data that inquiry obtains into Excel software, to carry out data comparison.As it can be seen that when answering
When data comparison for big data quantity, this mode extremely consumes manpower.
Summary of the invention
In order to solve the problems, such as that manpower consumption present in the relevant technologies is big, the present invention provides a kind of automated datas pair
Ratio method and device, electronic equipment.
First aspect of the embodiment of the present invention discloses a kind of automated data control methods, which comprises
Receive the first database search instruction and the instruction of the second database retrieval of user's input；Wherein, first number
According to library searching instruction for extracting the first correlation data from first database, the second database retrieval instruction for from
The second correlation data is extracted in second database；
First correlation data is extracted from the first database according to the first database search instruction；
And the second comparison number is extracted from second database according to second database retrieval instruction
According to；
Analyze the different information between first correlation data and second correlation data；
Comparing result is generated according to the different information that analysis obtains.
As an alternative embodiment, in first aspect of the embodiment of the present invention, in the reception user input
After first database search instruction and the instruction of the second database retrieval, the method also includes:
First database title is extracted from the first database search instruction；
And the second database-name is extracted from second database retrieval instruction；
Judge automated data comparison device whether with correspond to the first database title the first database
Establish connection；
And judge automated data comparison device whether with correspond to described the of second database-name
The connection of two Databases；
If the automated data comparison device and the first database establish connection, and the automated data pair
It is connect than device with second Database, execution is described to be counted according to the first database search instruction from described first
According to the step of extracting first correlation data in library；
If the automated data comparison device and the first database fail to establish connection or the automation number
Fail to establish connection according to comparison device and second database, returns to the prompt information of instruction connection failure.
As an alternative embodiment, the first database is HBase in first aspect of the embodiment of the present invention
Database, second database are oracle database；It is described according to the first database search instruction from described first
First correlation data is extracted in database, comprising:
The first data table name and first row name are extracted from the first database search instruction；
The first tables of data corresponding with the first data table name is exported from the first database；
The first correlation data corresponding with the first row name is extracted from first tables of data；
It is described that the second comparison number is extracted from second database according to second database retrieval instruction
According to, comprising:
The second data table name and secondary series name are extracted from second database retrieval instruction；
The second tables of data corresponding with the second data table name is exported from second database；
The second correlation data corresponding with the secondary series name is extracted from second tables of data.
As an alternative embodiment, in first aspect of the embodiment of the present invention, described from first data
The first correlation data corresponding with the first row name is extracted in table, and extract from second tables of data with it is described
After corresponding second correlation data of secondary series name, the method also includes:
Judge whether the first row name and the secondary series name are consistent；
If it is determined that the first row name is consistent with the secondary series name out, execute the analysis first correlation data and
The step of different information between second correlation data；If it is determined that the first row name and the secondary series name are different out
It causes, returns to the wrong prompt information of referred database search instruction.
As an alternative embodiment, determining described first described in first aspect of the embodiment of the present invention
After column name is consistent with the secondary series name, and the analysis first correlation data and second correlation data it
Between different information before, the method also includes:
For any the first row name that first correlation data is included, extracted from first correlation data pair
The value of the first row name described in Ying Yu；
The first row name and the value corresponding to the first row name are added to the first comparison list；
And it for any second row name that second correlation data is included, is mentioned from second correlation data
Take out the value for corresponding to the second row name；
The second row name and the value corresponding to the second row name are added to the second comparison list.
As an alternative embodiment, in first aspect of the embodiment of the present invention, analysis first comparison
Different information between data and second correlation data, comprising:
The first row list of file names is extracted from the first comparison list；
And the second row list of file names is extracted from the second comparison list；
It, will if the first element number of the first row list of file names is greater than the second element number of the second row list of file names
The first row list of file names is as target traversal of lists；If first element number is less than or equal to the second element
Number, using the second row list of file names as target traversal of lists；
For the either objective row name of the target traversal of lists, judge to correspond to the mesh in the first comparison list
Whether the first object value for marking row name is identical as the second target value of the target line name is corresponded in the second comparison list；
If not identical, the target line name, the first object value and second target value are added to different information
In list, to obtain all information of the different information list as first correlation data and second correlation data
Between different information.
As an alternative embodiment, in first aspect of the embodiment of the present invention, the method also includes:
For the either objective row name of the target traversal of lists, if in the first comparison list or second pair described
Than the target line name is not present in list, the target line name is added in the different information list, described in obtaining
All information of different information list are as the different information between first correlation data and second correlation data.
Second aspect of the embodiment of the present invention discloses a kind of automated data comparison device, and described device includes:
Receiving unit, for receiving the first database search instruction and the instruction of the second database retrieval of user's input；Its
In, the first database search instruction from first database for extracting the first correlation data, second database
Search instruction from the second database for extracting the second correlation data；
Extraction unit, for extracting described from the first database according to the first database search instruction
One correlation data；And described second pair is extracted from second database according to second database retrieval instruction
Compare data；
Analytical unit, for analyzing the different information between first correlation data and second correlation data；
Generation unit, the different information for being obtained according to analysis generate comparing result.
The third aspect of the embodiment of the present invention discloses a kind of electronic equipment, and the electronic equipment includes:
Processor；
Memory is stored with computer-readable instruction on the memory, and the computer-readable instruction is by the processing
When device executes, automated data control methods disclosed in first aspect of the embodiment of the present invention is realized.
Fourth aspect of the embodiment of the present invention discloses a kind of computer readable storage medium, stores computer program, institute
Stating computer program makes computer execute automated data control methods disclosed in first aspect of the embodiment of the present invention.
The technical solution that the embodiment of the present invention provides can include the following benefits:
Automated data control methods provided by the present invention includes the following steps: the first database for receiving user's input
Search instruction and the instruction of the second database retrieval；Wherein, first database search instruction from first database for extracting
First correlation data, the second database retrieval are instructed for extracting the second correlation data from the second database；According to first
Database retrieval instruction extracts the first correlation data from first database；It is counted according to the instruction of the second database retrieval from second
According to extracting the second correlation data in library；Analyze the different information between the first correlation data and the second correlation data, and according to
It analyzes obtained different information and generates comparing result.
Under the method, the database retrieval by receiving user's input is instructed, and can be instructed according to database retrieval automatic
Ground extracts the correlation data of retrieval from database, considerably reduces artificial workload；Additionally it is possible to automatically right
The first correlation data from first database and the second correlation data from the second database compare, and export
Different information between first correlation data and the second correlation data is solved and is led because the data output format of database is incompatible
The comparison error problem of cause, improves the intelligence degree and accuracy of data comparison, while decreasing manual intervention, from
And promote the efficiency of data comparison.
It should be understood that the above general description and the following detailed description are merely exemplary, this can not be limited
Invention.
Detailed description of the invention
The drawings herein are incorporated into the specification and forms part of this specification, and shows and meets implementation of the invention
Example, and in specification together principle for explaining the present invention.
Fig. 1 is a kind of structural schematic diagram of device disclosed by the embodiments of the present invention；
Fig. 2 is a kind of flow chart of automated data control methods disclosed by the embodiments of the present invention；
Fig. 3 is the flow chart of another automated data control methods disclosed by the embodiments of the present invention；
Fig. 4 is a kind of structural schematic diagram of automated data comparison device disclosed by the embodiments of the present invention；
Fig. 5 is the structural schematic diagram of another automated data comparison device disclosed by the embodiments of the present invention.
Specific embodiment
Here will the description is performed on the exemplary embodiment in detail, the example is illustrated in the accompanying drawings.Following description is related to
When attached drawing, unless otherwise indicated, the same numbers in different drawings indicate the same or similar elements.Following exemplary embodiment
Described in embodiment do not represent all embodiments consistented with the present invention.On the contrary, they be only with it is such as appended
The example of device and method being described in detail in claims, some aspects of the invention are consistent.
Embodiment one
Implementation environment of the invention can be electronic equipment, such as smart phone, tablet computer, desktop computer.
Fig. 1 is a kind of structural schematic diagram of device disclosed by the embodiments of the present invention.Device 100 can be above-mentioned electronics and set
It is standby.As shown in Figure 1, device 100 may include following one or more components: processing component 102, memory 104, power supply module
106, multimedia component 108, audio component 110, sensor module 114 and communication component 116.
The integrated operation of the usual control device 100 of processing component 102, such as with display, telephone call, data communication, phase
Machine operation and the associated operation of record operation etc..Processing component 102 may include one or more processors 118 to execute
Instruction, to complete all or part of the steps of following methods.In addition, processing component 102 may include one or more modules,
For convenient for the interaction between processing component 102 and other assemblies.For example, processing component 102 may include multi-media module, use
In to facilitate the interaction between multimedia component 108 and processing component 102.
Memory 104 is configured as storing various types of data to support the operation in device 100.These data are shown
Example includes the instruction of any application or method for operating on the device 100.Memory 104 can be by any kind of
Volatibility or non-volatile memory device or their combination are realized, such as static random access memory (Static
RandomAccess Memory, abbreviation SRAM), electrically erasable programmable read-only memory (Electrically Erasable
Programmable Read-Only Memory, abbreviation EEPROM), Erasable Programmable Read Only Memory EPROM (Erasable
Programmable Read Only Memory, abbreviation EPROM), programmable read only memory (Programmable Red-
Only Memory, abbreviation PROM), read-only memory (Read-Only Memory, abbreviation ROM), magnetic memory, flash
Device, disk or CD.It is also stored with one or more modules in memory 104, is configured to for the one or more module
It is executed by the one or more processors 118, to complete all or part of step in method as follows.
Power supply module 106 provides electric power for the various assemblies of device 100.Power supply module 106 may include power management system
System, one or more power supplys and other with for device 100 generate, manage, and distribute the associated component of electric power.
Multimedia component 108 includes the screen of one output interface of offer between device 100 and user.In some realities
It applies in example, screen may include liquid crystal display (Liquid Crystal Display, abbreviation LCD) and touch panel.If
Screen includes touch panel, and screen may be implemented as touch screen, to receive input signal from the user.Touch panel includes
One or more touch sensors are to sense the gesture on touch, slide, and touch panel.Touch sensor can be sensed not only
The boundary of a touch or slide action, but also detect duration and pressure relevant to touch or slide.Screen may be used also
To include display of organic electroluminescence (Organic Light Emitting Display, abbreviation OLED).
Audio component 110 is configured as output and/or input audio signal.For example, audio component 110 includes a Mike
Wind (Microphone, abbreviation MIC), when device 100 is in operation mode, such as call model, logging mode and speech recognition mould
When formula, microphone is configured as receiving external audio signal.The received audio signal can be further stored in memory
104 or via communication component 116 send.In some embodiments, audio component 110 further includes a loudspeaker, for exporting
Audio signal.
Sensor module 114 includes one or more sensors, and the state for providing various aspects for device 100 is commented
Estimate.For example, sensor module 114 can detecte the state that opens/closes of device 100, the relative positioning of component, sensor group
Part 114 can be with the position change of 100 1 components of detection device 100 or device and the temperature change of device 100.Some
In embodiment, which can also include Magnetic Sensor, pressure sensor or temperature sensor.
Communication component 116 is configured to facilitate the communication of wired or wireless way between device 100 and other equipment.Device
100 can access the wireless network based on communication standard, such as WiFi (Wireless-Fidelity, Wireless Fidelity).In the present invention
In embodiment, communication component 116 receives broadcast singal or broadcast correlation from external broadcasting management system via broadcast channel
Information.In embodiments of the present invention, communication component 116 further includes near-field communication (Near Field Communication, abbreviation
NFC) module, for promote short range communication.For example, radio frequency identification (Radio Frequency can be based in NFC module
Identification, abbreviation RFID) technology, Infrared Data Association (Infrared DataAssociation, abbreviation IrDA)
Technology, ultra wide band (Ultra Wideband, abbreviation UWB) technology, Bluetooth technology and other technologies are realized.
In the exemplary embodiment, device 100 can be by one or more application specific integrated circuit (Application
Specific Integrated Circuit, abbreviation ASIC), it is digital signal processor, digital signal processing appts, programmable
Logical device, field programmable gate array, controller, microcontroller, microprocessor or other electronic components are realized, for executing
Following methods.
Embodiment two
Referring to Fig. 2, Fig. 2 is a kind of flow diagram of automated data control methods disclosed by the embodiments of the present invention.
The automated data control methods as shown in Figure 2 may comprise steps of:
201, the first database search instruction and the instruction of the second database retrieval of user's input are received；Wherein, the first number
According to library searching instruction for extracting the first correlation data from first database, the instruction of the second database retrieval is for from second
The second correlation data is extracted in database.
The embodiment of the present invention can be applied to automated data comparison device or electronic equipment, not limit specifically this
It is fixed.
In the embodiment of the present invention, first database can be HBase database, and the second database can be Oracle data
Library.HBase database and oracle database belong to relevant database, can mutual joining two-dimentional ranks table by multiple
Composition.Oracle database is line data library, is write data into data block with behavior unit, when reading specified column, is needed
Entire data block is read in into memory, then by traversing several row data, can just read out the content of specified column；And HBase number
It is columnar database according to library, is stored using column as element, when reading specified column, it is only necessary to has the column block of specified column to read storage
Enter memory, the content of specified column can be read.As it can be seen that the data of HBase database and oracle database storage with it is defeated
Format is different from out, and HBase database is suitable for extensive, high concurrent data query, and oracle database is suitable for again
Miscellaneous inquiry and additions and deletions, which are looked into, changes operation.
As an alternative embodiment, step 201 may comprise steps of:
Receive first database title, the first data table name and the first row name and the second database name of user's input
Title, the second data table name and secondary series name；
According to first database title, the first data table name and first row name, the type phase with first database is generated
The first database search instruction matched；And according to the second database-name, the second data table name and secondary series name, generate with
The second database retrieval instruction that the type of second database matches.
For example, user is intended to the employee ID letter to the new registration employee table being respectively stored in database A and database B
Breath compares, then in the interaction page of corresponding automated data comparison device, user only needs defeated for the first data
Enter region input (or selecting by list) new registration employee table name-employee ID of database A-, and is inputted in the second data
Input database B- new registration employee table name-employee ID in region can compare device automatically generated data library by automated data
Search instruction, to extract correlation data from different databases.
Further, user can also merely enter first database title, the first data table name, the second database-name and
Second data table name is defaulted carry out pair to the data for all corresponding to same column name in the first tables of data and the second tables of data at this time
Than obtaining the comparing result of the first tables of data and the second tables of data.
202, the first correlation data is extracted from first database according to first database search instruction, and, according to
The instruction of second database retrieval extracts the second correlation data from the second database.
203, the different information between the first correlation data and the second correlation data is analyzed.
204, comparing result is generated according to the different information that analysis obtains.
In the embodiment of the present invention, different information may include between the first correlation data and the second correlation data for same
The different row data (including the row name lacked and the corresponding different value with a line name) of column name, and in the form of Visual Chart
Comparing result is generated, to show user.
As it can be seen that implementing method described in Fig. 2, the database retrieval by receiving user's input is instructed, can be according to number
The correlation data for automatically extracting retrieval from database according to library searching instruction, considerably reduces artificial workload；This
Outside, additionally it is possible to number automatically be compared to the first correlation data from first database and second from the second database
According to comparing, and the different information between the first correlation data and the second correlation data is exported, solves the number because of database
According to the incompatible caused comparison error problem of output format, the intelligence degree and accuracy of data comparison are improved, simultaneously
Manual intervention is decreased, to promote the efficiency of data comparison.
Embodiment three
Referring to Fig. 3, Fig. 3 is the process signal of another automated data control methods disclosed by the embodiments of the present invention
Figure.As shown in figure 3, the automated data control methods may comprise steps of:
301, the first database search instruction and the instruction of the second database retrieval of user's input are received；Wherein, the first number
According to library searching instruction for extracting the first correlation data from first database, the instruction of the second database retrieval is for from second
The second correlation data is extracted in database.
302, first database title is extracted from first database search instruction, and, from the second database retrieval
The second database-name is extracted in instruction.
303, judge whether automated data comparison device is established with the first database for corresponding to first database title
Connection；And judge whether automated data comparison device connects with the second Database for corresponding to the second database-name
It connects；If automated data comparison device and first database establish connection, and automated data comparison device and the second data
Connection is established in library, executes step 305~step 307；Otherwise, step 304 is executed.
304, the prompt information of instruction connection failure is returned.
As it can be seen that implementing 302~step 304 of above-mentioned steps, by ensuring that automated data compares device and first database
Connection is all normally established with the second database, can be avoided because connection failure wastes the unnecessary waiting time, guarantee retrieval pair
Process than data is normally carried out.
305, the first correlation data is extracted from first database according to first database search instruction, and, according to
The instruction of second database retrieval extracts the second correlation data from the second database.
As an alternative embodiment, extracting first from first database according to first database search instruction
Correlation data, specifically includes the following steps:
The first data table name and first row name are extracted from first database search instruction；
The first tables of data corresponding with the first data table name is exported from first database；
The first correlation data corresponding with first row name is extracted from the first tables of data.
And the second correlation data is extracted from the second database according to the instruction of the second database retrieval, it specifically includes
Following steps:
The second data table name and secondary series name are extracted from the instruction of the second database retrieval；
The second tables of data corresponding with the second data table name is exported from the second database；
The second correlation data corresponding with secondary series name is extracted from the second tables of data.
Further, as an alternative embodiment, it is corresponding with first row name being extracted from the first tables of data
The first correlation data, and after extracting the second correlation data corresponding with secondary series name in the second tables of data, may be used also
With the following steps are included:
Judge whether first row name is consistent with secondary series name；
If it is determined that first row name is consistent with secondary series name out, execute between the first correlation data of analysis and the second correlation data
Different information the step of；If it is determined that first row name and secondary series name are inconsistent out, it is wrong to return to referred database search instruction
Prompt information.
As it can be seen that by extracting the comparison number corresponding to same column name respectively from the first tables of data and the second tables of data
According to can be realized the comparison for carrying out precisely arriving field and value to the first tables of data and the second tables of data.
Still further, determine first row name it is consistent with secondary series name after, and analyze the first correlation data
And before the second different information between correlation data, can also include:
For any the first row name that the first correlation data is included, extract from the first correlation data corresponding to first
The value of row name；
The first row name and the value corresponding to the first row name are added to the first comparison list；
And for any second row name that the second correlation data is included, correspondence is extracted from the second correlation data
In the value of the second row name；
Second row name and the value corresponding to the second row name are added to the second comparison list.
It is appreciated that since first database (HBase database) is columnar database, and the second database (Oracle
Database) it is line data library, the data output format of the two is different, in order to guarantee the accuracy of data comparison, is being counted
Before comparison, need the format of unified first correlation data and the second correlation data for two-dimentional row-column list, the two dimension row-column list
For storing all row names, all column names that first/second correlation data includes and the value corresponding to specific row, column name.It can
See, by the format of unified first correlation data and the second correlation data, the output format for being able to solve correlation data is incompatible
Problem reduces comparison error rate.
306, the different information between the first correlation data and the second correlation data is analyzed.
As an alternative embodiment, carrying out unified formatting to the first correlation data and the second correlation data,
And after obtaining the first comparison list and the second comparison list, step 306 is specifically included:
The first row list of file names is extracted from the first comparison list；
And the second row list of file names is extracted from the second comparison list；
If the first element number of the first row list of file names is greater than the second element number of the second row list of file names, by the first row name
List is as target traversal of lists；If the first element number be less than or equal to second element number, using the second row list of file names as
Target traversal of lists；
For the either objective row name of target traversal of lists, judge to correspond to the first of target line name in the first comparison list
Whether target value is identical as the second target value of target line name is corresponded in the second comparison list；
If not identical, target line name, first object value and the second target value are added in different information list, to obtain
All information of different information list are as the different information between the first correlation data and the second correlation data.
As it can be seen that needing after determining the field (column) that needs compare for the first comparison list and the second comparison list
In correspond respectively to the first object value of same target line name and the second target value is matched.By from the first row list of file names and
Pick out the row list of file names comprising more multielement (row name) number in second row list of file names, and as target traversal of lists,
It enables to all row names in the first comparison list and the second comparison list to be traversed, guarantees the integrality of data comparison.
It is further alternative, this programme further include:
For the either objective row name of target traversal of lists, if not deposited in the first comparison list or the second comparison list
In target line name, target line name is added in different information list, to obtain all information of different information list as
Different information between one correlation data and the second correlation data.
As it can be seen that implement optional embodiment, by all row names in traversal target traversal of lists it can obtain first/
Non-shared row name in second comparison list, and as the discrepancy of the first correlation data and the second correlation data.
307, comparing result is generated according to the different information that analysis obtains.
As an alternative embodiment, in the first database search instruction and the second database that receive user's input
Before search instruction, user's login interface can be provided, receives the account information of active user's input, is to verify active user
It is no that there is operating right；Also, when determining that active user has operating right, the first database for receiving user's input is executed
The step of search instruction and the second database retrieval instruct.
Further, after generating comparing result, the comparing result of generation can also be sent to binding mailbox automatically
Or binding terminal, reading data and comparison are executed to inform that relevant treatment personnel active user compares device by automated data
The concrete condition of operation and the data comparison result of acquisition.As it can be seen that it is capable of the legitimacy of monitoring data contrast operation in this way, with
And rapidly comparing result is notified to give relevant treatment personnel.
As it can be seen that method described in implementing Fig. 3, the database retrieval by receiving user's input is instructed, can be according to number
The correlation data for automatically extracting retrieval from database according to library searching instruction, considerably reduces artificial workload；This
Outside, additionally it is possible to number automatically be compared to the first correlation data from first database and second from the second database
According to comparing, and the different information between the first correlation data and the second correlation data is exported, solves the number because of database
According to the incompatible caused comparison error problem of output format, the intelligence degree and accuracy of data comparison are improved, simultaneously
Manual intervention is decreased, to promote the efficiency of data comparison；In addition, by ensuring that automated data compares device and first
Database and the second database all normally establish connection, can be avoided because connection failure wastes the unnecessary waiting time, guarantee
The process of retrieval correlation data is normally carried out；Also, by extracting correspondence respectively from the first tables of data and the second tables of data
In the correlation data of same column name, pair for carrying out precisely arriving field and value to the first tables of data and the second tables of data can be realized
Than；Further, by the format of unified first correlation data and the second correlation data, the output lattice of correlation data are able to solve
Formula incompatibility problem reduces comparison error rate；Still further, by being selected from the first row list of file names and the second row list of file names
Out include the row list of file names of more multielement (row name) number, and as target traversal of lists, the first comparison is enabled to arrange
All row names are traversed in table and the second comparison list, guarantee the integrality of data comparison, additionally it is possible to obtain first/second pair
The row name more non-shared than in list, and as the discrepancy of the first correlation data and the second correlation data.
Example IV
Referring to Fig. 4, Fig. 4 is a kind of structural schematic diagram of automated data comparison device disclosed by the embodiments of the present invention.
As shown in figure 4, automated data comparison device may include: receiving unit 401, extraction unit 402,403 and of analytical unit
Generation unit 404, wherein
Receiving unit 401, for receiving the first database search instruction and the instruction of the second database retrieval of user's input；
Wherein, for extracting the first correlation data from first database, the second database retrieval refers to first database search instruction
It enables for extracting the second correlation data from the second database.
As an alternative embodiment, receiving unit 401, specifically for receiving the first database name of user's input
Title, the first data table name and first row name and the second database-name, the second data table name and secondary series name；And according to
First database title, the first data table name and first row name generate the first data to match with the type of first database
Library searching instruction；And according to the second database-name, the second data table name and secondary series name, generate and the second database
The second database retrieval instruction that type matches.
For example, user is intended to the employee ID letter to the new registration employee table being respectively stored in database A and database B
Breath compares, then in the interaction page of corresponding automated data comparison device, user only needs defeated for the first data
Enter region input (or selecting by list) new registration employee table name-employee ID of database A-, and is inputted in the second data
Input database B- new registration employee table name-employee ID in region can compare device automatically generated data library by automated data
Search instruction, to extract correlation data from different databases.
Further, user can also merely enter first database title, the first data table name, the second database-name and
Second data table name is defaulted carry out pair to the data for all corresponding to same column name in the first tables of data and the second tables of data at this time
Than obtaining the comparing result of the first tables of data and the second tables of data.
Extraction unit 402, for extracting the first comparison number from first database according to first database search instruction
According to；And the second correlation data is extracted from the second database according to the instruction of the second database retrieval.
Analytical unit 403, for analyzing the different information between the first correlation data and the second correlation data.
Generation unit 404, the different information for being obtained according to analysis generate comparing result.
As it can be seen that implementing device described in Fig. 4, the database retrieval by receiving user's input is instructed, can be according to number
The correlation data for automatically extracting retrieval from database according to library searching instruction, considerably reduces artificial workload；This
Outside, additionally it is possible to number automatically be compared to the first correlation data from first database and second from the second database
According to comparing, and the different information between the first correlation data and the second correlation data is exported, solves the number because of database
According to the incompatible caused comparison error problem of output format, the intelligence degree and accuracy of data comparison are improved, simultaneously
Manual intervention is decreased, to promote the efficiency of data comparison.
Embodiment five
Referring to Fig. 5, Fig. 5 is the structural representation of another automated data comparison device disclosed by the embodiments of the present invention
Figure.It is that automated data comparison device as shown in Figure 4 optimizes that automated data shown in fig. 5, which compares device,.
Compared with automated data shown in Fig. 4 comparison device, automated data comparison device shown in fig. 5 can also include: to sentence
Disconnected unit 405 and prompt unit 406, wherein
Extraction unit 402 is also used to receive the first database search instruction and second of user's input in receiving unit 401
After database retrieval instruction, first database title is extracted from first database search instruction；And from the second data
The second database-name is extracted in library searching instruction.
Judging unit 405, for judge automated data comparison device whether with correspond to the of first database title
The connection of one Database；And judge automated data comparison device whether with correspond to the second database-name second
Database connection.
Extraction unit 402 is used to extract the first correlation data from first database according to first database search instruction
Mode specifically:
Extraction unit 402, for determining automated data comparison device and first database foundation in judging unit 405
Connection, and automated data comparison device is extracted from first database search instruction when connecting with the second Database
First data table name and first row name out；And the first data corresponding with the first data table name are exported from first database
Table；And the first correlation data corresponding with first row name is extracted from the first tables of data.
Prompt unit 406 fails for determining automated data comparison device in judging unit 405 with first database
Connection or automated data comparison device and the second database are established when failing to establish connection, returns and indicates connection failure
Prompt information.
As an alternative embodiment, extraction unit 402 is used to be counted according to the instruction of the second database retrieval from second
According to the mode for extracting the second correlation data in library specifically:
Extraction unit 402, for extracting the second data table name and secondary series name from the instruction of the second database retrieval；With
And the second tables of data corresponding with the second data table name is exported from the second database；And it is extracted from the second tables of data
The second correlation data corresponding with secondary series name.
Further, as an alternative embodiment, judging unit 405, is also used in extraction unit 402 from first
The first correlation data corresponding with first row name is extracted in tables of data, and is extracted and secondary series name from the second tables of data
After corresponding second correlation data, judge whether first row name is consistent with secondary series name.
Analytical unit 403, specifically for judging unit 405 determine first row name it is consistent with secondary series name when, analysis
Different information between first correlation data and the second correlation data.
Prompt unit 406 is also used to when judging unit 405 determines first row name and secondary series name is inconsistent, is returned
The wrong prompt information of referred database search instruction.
Still further, extraction unit 402, is also used to determine first row name and secondary series name one in judging unit 405
After cause, and before the different information that analytical unit 403 analyzes between the first correlation data and the second correlation data, for
Any the first row name that first correlation data is included, extracts the value corresponding to the first row name from the first correlation data；With
And the first row name and value corresponding to the first row name are added to the first comparison list；And it is wrapped for the second correlation data
Any second row name contained, extracts the value corresponding to the second row name from the second correlation data；And by the second row name and right
The second comparison list should be added in the value of the second row name.
Analytical unit 403 is used to analyze the different information between first correlation data and second correlation data
Mode specifically:
Analytical unit 403, for extracting the first row list of file names from the first comparison list；And it is arranged from the second comparison
The second row list of file names is extracted in table；And it is greater than the of the second row list of file names in the first element number of the first row list of file names
When Was Used number, using the first row list of file names as target traversal of lists；It is less than or equal to second element in the first element number
When number, using the second row list of file names as target traversal of lists；And the either objective row name for target traversal of lists, sentence
Whether the first object value for corresponding to target line name in disconnected first comparison list compares with second corresponds to target line name in list
The second target value it is identical；And in first object value and not identical the second target value, by target line name, first object value
It is added in different information list with the second target value, to obtain all information of different information list as the first correlation data
With the different information between the second correlation data.
Analytical unit 403 is also used to the either objective row name for target traversal of lists, in the first comparison list or the
When target line name is not present in two comparison lists, target line name is added in different information list, to obtain different information column
All information of table are as the different information between the first correlation data and the second correlation data.
As an alternative embodiment, automated data comparison device can also include authentication unit and notification sheet
Member, wherein
Authentication unit, for instructing it in the first database search instruction and the second database retrieval that receive user's input
Before, user's login interface is provided, receives the account information of active user's input, to verify whether active user has operating rights
Limit；Also, when determining that active user has operating right, so that receiving unit 401 executes the first number for receiving user's input
The step of according to library searching instruction and the instruction of the second database retrieval.
Notification unit, for after generating comparing result, the comparing result of generation is sent to automatically bind mailbox or
Terminal is bound, to inform that relevant treatment personnel active user compares device execution reading data by automated data and comparison is grasped
The concrete condition of work and the data comparison result of acquisition.As it can be seen that it is capable of the legitimacy of monitoring data contrast operation in this way, and
Rapidly comparing result is notified to give relevant treatment personnel.
As it can be seen that implementing device described in Fig. 5, the database retrieval by receiving user's input is instructed, can be according to number
The correlation data for automatically extracting retrieval from database according to library searching instruction, considerably reduces artificial workload；This
Outside, additionally it is possible to number automatically be compared to the first correlation data from first database and second from the second database
According to comparing, and the different information between the first correlation data and the second correlation data is exported, solves the number because of database
According to the incompatible caused comparison error problem of output format, the intelligence degree and accuracy of data comparison are improved, simultaneously
Manual intervention is decreased, to promote the efficiency of data comparison；In addition, by ensuring that automated data compares device and first
Database and the second database all normally establish connection, can be avoided because connection failure wastes the unnecessary waiting time, guarantee
The process of retrieval correlation data is normally carried out；Also, by extracting correspondence respectively from the first tables of data and the second tables of data
In the correlation data of same column name, pair for carrying out precisely arriving field and value to the first tables of data and the second tables of data can be realized
Than；Further, by the format of unified first correlation data and the second correlation data, the output lattice of correlation data are able to solve
Formula incompatibility problem reduces comparison error rate；Still further, by being selected from the first row list of file names and the second row list of file names
Out include the row list of file names of more multielement (row name) number, and as target traversal of lists, the first comparison is enabled to arrange
All row names are traversed in table and the second comparison list, guarantee the integrality of data comparison, additionally it is possible to obtain first/second pair
The row name more non-shared than in list, and as the discrepancy of the first correlation data and the second correlation data.
The present invention also provides a kind of electronic equipment, which includes:
Processor；
Memory is stored with computer-readable instruction on the memory, when which is executed by processor,
Realize automated data control methods as previously shown.
The electronic equipment can be Fig. 1 shown device 100.
In one exemplary embodiment, the present invention also provides a kind of computer readable storage mediums, are stored thereon with calculating
Machine program when the computer program is executed by processor, realizes automated data control methods as previously shown.
It should be understood that the present invention is not limited to the precise structure already described above and shown in the accompanying drawings, and
And various modifications and change can executed without departing from the scope.The scope of the present invention is limited only by the attached claims.
Claims (10)
1. a kind of automated data control methods, which is characterized in that the described method includes:
Receive the first database search instruction and the instruction of the second database retrieval of user's input；Wherein, the first database
Search instruction from first database for extracting the first correlation data, and the second database retrieval instruction is for from second
The second correlation data is extracted in database；
First correlation data is extracted from the first database according to the first database search instruction；
And second correlation data is extracted from second database according to second database retrieval instruction；
Analyze the different information between first correlation data and second correlation data；
Comparing result is generated according to the different information that analysis obtains.
2. the method according to claim 1, wherein the first database retrieval in the reception user input refers to
It enables after being instructed with the second database retrieval, the method also includes:
First database title is extracted from the first database search instruction；
And the second database-name is extracted from second database retrieval instruction；
Judge whether automated data comparison device is established with the first database for corresponding to the first database title
Connection；
And judge whether the automated data comparison device counts with described second corresponding to second database-name
Connection is established according to library；
If the automated data comparison device and the first database establish connection, and automated data comparison dress
Set and connect with second Database, execute it is described according to the first database search instruction from the first database
In the step of extracting first correlation data；
If the automated data comparison device and the first database fail to establish connection or the automated data pair
Fail to establish connection than device and second database, returns to the prompt information of instruction connection failure.
3. according to the method described in claim 2, it is characterized in that, the first database be HBase database, described second
Database is oracle database；It is described that institute is extracted from the first database according to the first database search instruction
State the first correlation data, comprising:
The first data table name and first row name are extracted from the first database search instruction；
The first tables of data corresponding with the first data table name is exported from the first database；
The first correlation data corresponding with the first row name is extracted from first tables of data；
It is described that second correlation data is extracted from second database according to second database retrieval instruction, it wraps
It includes:
The second data table name and secondary series name are extracted from second database retrieval instruction；
The second tables of data corresponding with the second data table name is exported from second database；
The second correlation data corresponding with the secondary series name is extracted from second tables of data.
4. according to the method described in claim 3, it is characterized in that, it is described extracted from first tables of data with it is described
Corresponding first correlation data of first row name, and corresponding with the secondary series name is extracted from second tables of data
After two correlation datas, the method also includes:
Judge whether the first row name and the secondary series name are consistent；
If it is determined that the first row name is consistent with the secondary series name out, the analysis first correlation data and described is executed
The step of different information between second correlation data；If it is determined that the first row name and the secondary series name are inconsistent out, return
It returns designation date library searching and instructs the wrong prompt information.
5. according to the method described in claim 4, it is characterized in that, determining the first row name and the secondary series described
Different information after name is consistent, and between the analysis first correlation data and second correlation data it
Before, the method also includes:
For any the first row name that first correlation data is included, extracts and correspond to from first correlation data
The value of the first row name；
The first row name and the value corresponding to the first row name are added to the first comparison list；
And it for any second row name that second correlation data is included, is extracted from second correlation data
Value corresponding to the second row name；
The second row name and the value corresponding to the second row name are added to the second comparison list.
6. according to the method described in claim 5, it is characterized in that, the analysis first correlation data and second pair described
Than the different information between data, comprising:
The first row list of file names is extracted from the first comparison list；
And the second row list of file names is extracted from the second comparison list；
It, will be described if the first element number of the first row list of file names is greater than the second element number of the second row list of file names
The first row list of file names is as target traversal of lists；It, will if first element number is less than or equal to the second element number
The second row list of file names is as target traversal of lists；
For the either objective row name of the target traversal of lists, judge to correspond to the target line in the first comparison list
Whether the first object value of name is identical as the second target value of the target line name is corresponded in the second comparison list；
If not identical, the target line name, the first object value and second target value are added to different information list
In, to obtain all information of the different information list as between first correlation data and second correlation data
Different information.
7. according to the method described in claim 6, it is characterized in that, the method also includes:
For the either objective row name of the target traversal of lists, if in the first comparison list or the second comparison column
The target line name is not present in table, the target line name is added in the different information list, to obtain the difference
All information of information list are as the different information between first correlation data and second correlation data.
8. a kind of automated data compares device, which is characterized in that described device includes:
Receiving unit, for receiving the first database search instruction and the instruction of the second database retrieval of user's input；Wherein, institute
First database search instruction is stated for extracting the first correlation data from first database, second database retrieval refers to
It enables for extracting the second correlation data from the second database；
Extraction unit, for extracting described first pair from the first database according to the first database search instruction
Compare data；And the second comparison number is extracted from second database according to second database retrieval instruction
According to；
Analytical unit, for analyzing the different information between first correlation data and second correlation data；
Generation unit, the different information for being obtained according to analysis generate comparing result.
9. a kind of electronic equipment, including memory and processor, the memory are stored with computer program, which is characterized in that
The step of processor realizes method according to any one of claims 1 to 7 when executing the computer program.
10. a kind of computer readable storage medium, which is characterized in that it stores computer program, and the computer program makes
Computer perform claim requires 1~7 described in any item automated data control methods.
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| PCT/CN2019/117676 WO2020186782A1 (en) | 2019-03-18 | 2019-11-12 | Automated data comparison method and device, electronic device, computer non-volatile readable storage medium |
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