CN106528741A - Visualization implementation method based on big data - Google Patents
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- CN106528741A CN106528741A CN201610964317.6A CN201610964317A CN106528741A CN 106528741 A CN106528741 A CN 106528741A CN 201610964317 A CN201610964317 A CN 201610964317A CN 106528741 A CN106528741 A CN 106528741A
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- 238000000034 method Methods 0.000 title claims abstract description 27
- 238000012800 visualization Methods 0.000 title claims abstract description 6
- 230000002452 interceptive effect Effects 0.000 claims abstract description 8
- 238000010586 diagram Methods 0.000 claims abstract description 5
- 238000013461 design Methods 0.000 claims description 11
- 230000000007 visual effect Effects 0.000 claims description 7
- 238000005516 engineering process Methods 0.000 claims description 4
- 238000005065 mining Methods 0.000 claims description 4
- 238000013499 data model Methods 0.000 claims description 3
- 230000001747 exhibiting effect Effects 0.000 claims description 3
- 238000011161 development Methods 0.000 abstract description 4
- 238000004458 analytical method Methods 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 2
- 238000007405 data analysis Methods 0.000 description 2
- 238000013079 data visualisation Methods 0.000 description 2
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- 238000009434 installation Methods 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 238000011160 research Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
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- 235000013399 edible fruits Nutrition 0.000 description 1
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Classifications
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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
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/34—Browsing; Visualisation therefor
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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
- G06F16/26—Visual data mining; Browsing structured data
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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
- G06F9/44—Arrangements for executing specific programs
- G06F9/451—Execution arrangements for user interfaces
Abstract
The invention provides a visualization implementation method based on big data, which relates to the technical field of WEB development, wherein page making and data binding are implemented in a definition period, wherein the page making is mainly completed in a dragging interactive mode, and the whole process mainly comprises the configuration of components such as page layout, chart selection, query boxes and the like; for data binding, the binding of data and diagrams is mainly completed. For the runtime, the secondary query and shared view of the chart is mainly completed. The method provided by the invention powerfully supports the manager to make business decisions and improves the core competitiveness.
Description
Technical field
A kind of the present invention relates to WEB development technique field, more particularly to the Visual Implementation method based on big data.
Background technology
With the arrival in big data application epoch, data not only measure greatly, species is more, it is real-time to require, and data institute
The value contained is great.There is big data in all trades and professions, but numerous information and consulting are numerous and complicateds, are only passed through
Data analysiss we be difficult to analyze, conclude and sum up the rule of its deep layer.Therefore the value for how excavating big data becomes
Our research emphasis.Figure is most easily accepted by as the mankind and a kind of mode for understanding is natural combines with data,
The research field new so as to define data visualization such a, the also displaying to data provide a kind of new way.
It is during the present invention is realized, main to find that existing the Visual Implementation mode at least has following defect：1) exist
Directly physical table being inquired about by assembling sql sentences during obtaining data, causing leakage of information, safety is relatively low；2) page
Manufacturing process do not distinguish definition phase and runtime, and excessively rely on chart design tool；3) the secondary of chart is not supported
Inquiry；4) User Defined chart layout mode is not supported.
The content of the invention
In order to solve the problem, the present invention proposes a kind of the Visual Implementation method based on big data.It is intended to by letter
Single interactive operation completes the quick Fabrication of the data visualization page.
It is main in the present invention to propose herein below：(1) data, services that OData standard agreements are docked on backstage are proposed, is carried
High safety, versatility.Wherein OData (Open Data Protocol, abbreviation OData) standard agreement, also referred to as opens
Data protocol, is how a kind of description creates and access the OASIS standards that Restful is serviced.(2) visualization of data is represented
Process is divided into two steps：Definition phase and runtime.Defined in which, the phase mainly realizes the making of the page and the binding of data；Operation
Phase then mainly realizes that the secondary inquiry of data is checked with sharing.(3) various layout type are provided to select for user, can also passes through cloth
The nested mode of office realizes user to the self-defined of chart layout.
The technical scheme is that
A kind of the Visual Implementation method based on big data, is mainly concerned with two processes of definition phase and runtime, wherein,
Page animation and data binding are realized in the definition phase, it is wherein main that page animation, whole mistake are completed using the interactive mode for pulling
Journey mainly includes page layout, graph choice, the configuration of query frame component；For data binding then mainly completes data and chart
Binding；For the runtime, then mainly complete the secondary inquiry of chart and share to check.
Wherein：
1) define the phase
The step mainly realizes page animation and data binding；Wherein page animation mainly includes that page layout, chart are selected
Select and the component such as query frame design and configuration；Its concrete implementation step is as follows：
Step one：Suitable component target is pulled first and designs the page into instrumental panel, and obtain the class for pulling component
Type, such as layoutType=" col ", the component type that the present invention is provided mainly have layout component, chart components, text box, look into
Ask frame etc.；
Step 2：The placement location of target element target is obtained, is carried according to jquery-ui first
Placeholder attributes, obtain the previous brotgher of node or the latter brotgher of node of placeholder positions
DropSibDom, finally puts component target to the back or front of brotgher of node dropSibDom；
Step 3：Type layoutType according to component is pulled judges whether to support that recurrence is pulled, i.e. whether support group
It is mutually nested between part, if Column Layout or tab page layout then support nesting, and using the component as pulling mesh next time
Target container.Conversely, instrumental panel is designed the page as assembly container then.Determine that target returns the first step and lays equal stress on after placing container
Above-mentioned steps are performed again, until completing the making of full page；
For data are bound, mainly comprise the following steps：
Step one：Select to want the chart of binding data by the interactive mode clicked on；
Step 2：The data, services list based on OData protocol is obtained, data, services to be represented is selected, and transmission please
Ask to rear end, so as to obtain metadata description information (field information)；
Step 3：Different types of data are selected, two types are broadly divided into here：Character type (dimension) and data type
(tolerance)；
Step 4：According to URL request path of the data genaration for selecting based on OData protocol, and rear end is sent a request to,
Corresponding sql sentences are converted into, the request of data is finally completed；
Step 5：According to the data that rear end returns, chart sum is completed by technologies such as js, jquery, arttemplate
According to binding；
2) runtime
Mainly complete the secondary inquiry of chart and share to check；For the secondary inquiry of chart, implementation step is：
Step one：User input will inquire about content, and then, into the URL based on ODada agreements, sending please for system automatic Mosaic
Ask to rear end, complete the inquiry again of data；
Step 2：According to the corresponding relation for defining phase enquiring component and chart, corresponding chart is updated, so as to complete
Into the mining again of data.
The concrete methods of realizing for defining interim step 2 acquisition target location is as follows：
(2-1) obtain previous brotgher of node dropBeforeDom of target placement location：
(2-2) target element target is put to brotgher of node dropSibDom, specific code is as follows：
It is finally completed the placement for pulling target.
The data bind the specific implementation of step 2 acquisition metadata description information：
(3-1) obtain the data, services list based on Odata agreements；
(3-2) data, services to be represented are selected；
(3-3) difference according to the URL of the data, services for selecting, takes different modes respectively and retouches obtaining metadata
State：Metadata is primarily based on, is needed for URL to be converted into corresponding sql sentences, is then inquired about physical table, so as to obtain first number
According to description information；Based on the service of data model, then the interface for directly being carried according to OData is obtaining the metadata in physical table
Information；
(3-4) data are divided to dimension and tolerance area by the difference according to data type in metadata description information respectively
In domain, the wherein corresponding dimension of character types, the correspondence metric of data type.
The detailed process that the data binding step 5 completes graph making is as follows：
(4-1) data prediction：For the data of backstage return are according to the difference of subtype, figure is translated into respectively
Data form required for table；
(4-2) data check：Whether contain forbidden character in judging fetched data, such as block diagram, judge selected
The data in tolerance are selected whether containing character types, user data mistake is pointed out if having, otherwise is then continued next step；
(4-3) data exhibiting：By in the incoming graph making interface of data after formatting, the drafting of chart is finally completed,
Realize that the visualization of data represents.
The invention has the beneficial effects as follows
The present invention supports various chart layout's modes：Column Layout, tab page layout and ifame layouts, at the same support layout it
Between it is mutually nested, it is achieved thereby that the variation of Pages Design；
Definition phase proposed by the invention and runtime, make the look facility of page animation and the page separate, it is to avoid
Designer depended on unduly.
Docking OData protocol in backstage proposed by the invention, not only increases the safety of information, and improves which and lead to
With property so as to support structuring and the various Data Sources of destructuring.
The present invention supports data postsearch screening, realizes the depth mining analysis to data.
The sharing function provided in the present invention supports that user remotely checks the configured instrumental panel for completing, and the function is only needed
Just which can be remotely checked in the presence of browser, it is to avoid the installation of software, so as to provide the user with pole
Big facility.
Visualized online zero Code Edits such as design, data binding are supported from data to front end chart style.
Description of the drawings
Fig. 1 is the workflow schematic diagram of the present invention.
Specific embodiment
More detailed elaboration is carried out to present disclosure below：
A kind of the Visual Implementation mode of big data that the present invention is provided, is mainly concerned with two mistakes of definition phase and runtime
Journey, concrete implementation method are as follows：
1st, define the phase
The step mainly realizes page animation and data binding.Wherein page animation mainly includes that page layout, chart are selected
Select and the component such as query frame design and configuration.Its concrete implementation step is as follows：
Step one：Suitable component target is pulled first and designs the page into instrumental panel, and obtain the class for pulling component
Type, such as layoutType=" col ", the component type that the present invention is provided mainly have layout component, chart components, text box, look into
Ask frame etc.；
Step 2：The placement location of target element target is obtained, is carried according to jquery-ui first
Placeholder attributes, obtain the previous brotgher of node or the latter brotgher of node of placeholder positions
DropSibDom, finally puts component target to the back or front of brotgher of node dropSibDom；
Step 3：Type layoutType according to component is pulled judges whether to support that recurrence is pulled, i.e. whether support group
It is mutually nested between part, if Column Layout or tab page layout then support nesting, and using the component as pulling mesh next time
Target container.Conversely, instrumental panel is designed the page as assembly container then.Determine that target returns the first step and lays equal stress on after placing container
Above-mentioned steps are performed again, until completing the making of full page.
The concrete methods of realizing that the step 2 obtains target location is as follows：
(2-1) obtain previous brotgher of node dropBeforeDom of target placement location：
(2-2) target element target is put to brotgher of node dropSibDom, specific code is as follows：
It is finally completed the placement for pulling target.
For data are bound, mainly comprise the following steps：
Step one：Select to want the chart of binding data by the interactive mode clicked on；
Step 2：The data, services list based on OData protocol is obtained, data, services to be represented is selected, and transmission please
Ask to rear end, so as to obtain metadata description information (field information)；
Step 3：Different types of data are selected, two types are broadly divided into here：Character type (dimension) and data type
(tolerance)；
Step 4：According to URL request path of the data genaration for selecting based on OData protocol, and rear end is sent a request to,
Corresponding sql sentences are converted into, the request of data is finally completed；
Step 5：According to the data that rear end returns, chart sum is completed by technologies such as js, jquery, arttemplate
According to binding.
The step 2 obtains the specific implementation of metadata description information：
(3-1) obtain the data, services list based on Odata agreements；
(3-2) data, services to be represented are selected；
(3-3) difference according to the URL of the data, services for selecting, takes different modes respectively and retouches obtaining metadata
State：Metadata is primarily based on, is needed for URL to be converted into corresponding sql sentences, is then inquired about physical table, so as to obtain first number
According to description information；Based on the service of data model, then the interface for directly being carried according to OData is obtaining the metadata in physical table
Information.
(3-4) data are divided to dimension and tolerance area by the difference according to data type in metadata description information respectively
In domain, the wherein corresponding dimension of character types, the correspondence metric of data type.
The detailed process that the step 5 completes graph making is as follows：
(4-1) data prediction：For the data of backstage return are according to the difference of subtype, figure is translated into respectively
Data form required for table；
(4-2) data check：Whether contain forbidden character in judging fetched data, such as block diagram, judge selected
The data in tolerance are selected whether containing character types, user data mistake is pointed out if having, otherwise is then continued next step；
(4-3) data exhibiting：By in the incoming graph making interface of data after formatting, the drafting of chart is finally completed,
Realize that the visualization of data represents.
Above content is mainly described in detail to the definition phase, and next the runtime is introduced：
Runtime mainly completes the secondary inquiry of chart and shares to check.For the secondary inquiry of chart, implementation step
For：
Step one：User input will inquire about content, and then, into the URL based on ODada agreements, sending please for system automatic Mosaic
Ask to rear end, complete the inquiry again of data；
Step 2：According to the corresponding relation for defining phase enquiring component and chart, corresponding chart is updated, so as to complete
Into the mining again of data.
As shown in figure 1, user can first complete the design of chart layout, suitable chart is then selected to enter diagrammatic representation area
Domain, and corresponding data source is configured for which, the effect that user designs can be checked by preview page after configuring, if effect
Fruit is not perfect enough, and user can return to the first step and which is redeployed.End user can carry out preservation to which and share, so as to protect
The online shared of instrumental panel is demonstrate,proved.Can be seen that by upper figure, the invention supports that user carries out weight with the interactive mode for pulling to chart
It is multiple to dispose, so as to further perfect to completed instrumental panel, be both capable of achieving redeploying for chart layout, also can to chart and
The binding of data is reconfigured.
Check for shared, the invention then provides the sharing mode of URL and checked for user, and the function is only needed clear
Look at, it is to avoid the installation of software, so as to providing the user with greatly just
Profit.
User also can complete the drafting of the data statistic analysis page by simple dragging, so as to greatly reduce project
Development cost.Therefore the present invention is applicable not only to business personnel and carries out data analysiss structure data model, is also applied for exploitation
Personnel carry out the making of data display page development.
Claims (7)
1. a kind of the Visual Implementation method based on big data, it is characterised in that be mainly concerned with definition phase and runtime two
Process, wherein, realizes page animation and data binding in the definition phase, wherein main to complete page system using the interactive mode for pulling
Make, whole process mainly includes page layout, graph choice, the configuration of query frame component；For data binding is then mainly completed
The binding of data and chart；For the runtime, then mainly complete the secondary inquiry of chart and share to check.
2. method according to claim 1, it is characterised in that
The design and configuration mainly including page layout, graph choice and query frame component of the page animation of definition phase；Which is concrete
Realize that step is as follows：
Step one：Suitable component target is pulled first and designs the page into instrumental panel, and obtain the type for pulling component, group
Part type mainly has layout component, chart components, text box, query frame；
Step 2：The placement location of target element target is obtained, is belonged to according to the placeholder that jquery-ui is carried first
Property, the previous brotgher of node or latter brotgher of node dropSibDom of placeholder positions is obtained, finally will
Component target is put to the back or front of brotgher of node dropSibDom；
Step 3：Type layoutType according to component is pulled judges whether to support that recurrence is pulled, i.e., whether supporting assembly it
Between it is mutually nested, if Column Layout or tab page layout then support nesting, and using the component as pulling target next time
Container；Conversely, instrumental panel is designed the page as assembly container then；Determine that target returns the first step after placing container and repetition is held
Row above-mentioned steps, until complete the making of full page.
3. method according to claim 1, it is characterised in that
For data are bound, mainly comprise the following steps：
Step one：Select to want the chart of binding data by the interactive mode clicked on；
Step 2：The data, services list based on OData protocol is obtained, data, services to be represented is selected, and is sent a request to
Rear end, so that obtain metadata description information；
Step 3：Different types of data are selected, two types are broadly divided into here：Character type and data type；
Step 4：According to URL request path of the data genaration for selecting based on OData protocol, and rear end is sent a request to, converted
For corresponding sql sentences, the request of data is finally completed；
Step 5：According to the data that rear end returns, tying up for chart and data is completed by js, jquery, arttemplate technology
It is fixed.
4. method according to claim 1, it is characterised in that
Runtime
Mainly complete the secondary inquiry of chart and share to check；For the secondary inquiry of chart, implementation step is：
Step one：User input will inquire about content, and then system automatic Mosaic is sent a request to into the URL based on ODada agreements
Rear end, completes the inquiry again of data；
Step 2：According to the corresponding relation for defining phase enquiring component and chart, corresponding chart is updated, so as to complete number
According to mining again.
5. method according to claim 2, it is characterised in that
The concrete methods of realizing that the page animation step 2 obtains target location is as follows：
(2-1) obtain previous brotgher of node dropBeforeDom of target placement location：
(2-2) target element target is put to brotgher of node dropSibDom, specific code is as follows：
It is finally completed the placement for pulling target.
6. method according to claim 3, it is characterised in that
The data bind the specific implementation of step 2 acquisition metadata description information：
(3-1) obtain the data, services list based on Odata agreements；
(3-2) data, services to be represented are selected；
(3-3) difference according to the URL of the data, services for selecting, takes different modes to obtain metadata description respectively：It is first
First based on metadata, need for URL to be converted into corresponding sql sentences, then inquire about physical table, so as to obtain metadata description
Information；Based on the service of data model, then the interface for directly being carried according to OData is obtaining the metadata information in physical table；
(3-4) difference according to data type in metadata description information, is divided to data in dimension and gauge region respectively,
The wherein corresponding dimension of character types, the correspondence metric of data type.
7. method according to claim 3, it is characterised in that
The detailed process that the data binding step 5 completes graph making is as follows：
(4-1) data prediction：For the data of backstage return are according to the difference of subtype, chart institute is translated into respectively
The data form of needs；
(4-2) data check：Whether contain forbidden character in judging fetched data, such as block diagram, judge selected degree
Data in amount point out user data mistake whether containing character types, if having, otherwise then continue next step；
(4-3) data exhibiting：By in the incoming graph making interface of data after formatting, the drafting of chart is finally completed, is realized
The visualization of data represents.
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