CN108255541A - Data source processing method, device, storage medium and the electronic equipment of form controls - Google Patents
Data source processing method, device, storage medium and the electronic equipment of form controls Download PDFInfo
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- 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
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Abstract
This disclosure relates to data source processing method, device, storage medium and the electronic equipment of a kind of form controls, this method include:After the first control in list is triggered, the first data that first control is triggered are determined, the data in first data, the first data source current for first control;Determine the n subordinate control there are cascade connection with first control, which is included positioned at the first control subordinate, and with first control direct correlation or all controls of indirect association;The n data source with first data correlation, the source of new data as the n subordinate control are extracted in the data source current from the n subordinate control respectively.It can be when form controls be triggered, the data source of all form controls of the form controls subordinate is screened and preloaded according to the data being triggered, dynamically reduce the corresponding data volume of follow-up form controls according to the data being triggered in superior control, improve data loading efficiency.
Description
Technical field
A kind of this disclosure relates to user interface controls design field, and in particular, to the data source processing side of form controls
Method, device, storage medium and electronic equipment.
Background technology
Form controls is a kind of object in graphic user interface (Graphical User Interface, abbreviation GUI),
User can perform the operations such as design and modification to form view by the object.When being developed to GUI, can pass through
Form controls creates multiple list columns with cascade connection, such as drop-down option frame or the scroll list.In the prior art, exist
When loading data source for above-mentioned multiple list columns with cascade connection, the mode that generally use assigns default value is each list column
Fixed data source is loaded, and after upper level list column selection result is obtained, corresponding number is shown in next stage list column
According to.In this way, whenever upper level form controls complete operate after, for next stage control data source screening mode still from
It goes to search in above-mentioned fixed data source and be loaded, and next stage with the relevant data of form controls of upper level
Its corresponding data source of control data volume it is bigger.For example, in a list, there are " province ", " city ", " area " four ranks respectively
Control.Behind user selection Liaoning Province in control " province ", control " city " would generally (be also likely to be the model of bigger from the whole nation
Enclose, if for example, the form controls also has " country " rank on the net, then the range may be Asia or the whole world) all cities
The Urban Data in Liaoning Province is found out in city, data volume is larger, and behind user selection Daliang City in control " city ", control
" area " would generally find out the data in Dalian incity area from all areas in the whole nation.It can be seen that when control loading data volume is larger
Data source when, loading velocity can be a greater impact, and data loading efficiency is relatively low, consequently, it is possible in the loading procedure of control
In there is interim card, influence user experience.
Invention content
To overcome the problems in correlation technique, the disclosure provides a kind of data source processing method of form controls, dress
It puts, storage medium and electronic equipment.
According to the embodiment of the present disclosure in a first aspect, provide a kind of data source processing method of form controls, including:
After the first control in list is triggered, the first data that first control is triggered are determined, described first
Data in data the first data source current for first control;
Determine the n subordinate control there are cascade connection with first control, the n subordinate control includes being located at institute
It states the first control subordinate, and is directly linked with first control or all controls of indirect association;
The n data with first data correlation are extracted in the data source current from the n subordinate control respectively
Source, the source of new data as the n subordinate control.
Optionally, the method further includes:
When the second control in the list is triggered, second data source is loaded for second control, it is described
Second control is the next stage control of first control, and first control and second control are appointing in the list
Two adjacent controls of meaning;
Determine the second data that second control is triggered, second data are the number in second data source
According to;
Determine the m subordinate control with second control, the m subordinate control includes being located under second control
Grade, and with second control be directly linked or indirect association all controls;
It is extracted from second data source with the third data source of second data correlation as the m subordinate
The data source of control.
Optionally, it extracts in the data source current from the n subordinate control and is closed with first data respectively
N data source of connection, as the source of new data of the n subordinate control, including:
Obtain the association mark of each data in the first data source of k-th of control currently in the n subordinate control
Know;
Obtain the association identification of first data;
According to the association identification of data each in first data source and the association identification of first data, described
It is extracted in first data source with the matched one or more data of the association identification of first data as with described first
Associated second data source of data;
Using second data source as the source of new data of k-th of control;
K=k+1 is enabled, and repeats the first current data of k-th of the control obtained in the n subordinate control
The association identification of each data in source is to the step using source of new data of second data source as k-th of control
Suddenly, until obtaining in the n subordinate control until the source of new data of all controls.
Optionally, the association identification is used to represent the incidence relation and relationship between superior and subordinate between data, described according to institute
The association identification of the association identification of each data and first data in the first data source is stated, is carried in first data source
It takes out with the matched one or more data of the association identifications of first data as associated the with first data
Two data sources, including:
According to the association identification of data each in first data source and the association identification of first data, described
The one or more data for determining to belong to the lower level data of first data in first data source are as second data source.
According to the second aspect of the embodiment of the present disclosure, a kind of data source processing unit of form controls, described device are provided
Including:
Data determining module after the first control for working as in list is triggered, determines what first control was triggered
First data, first data are the data in the first current data source of first control;
Control determining module, for determining the n subordinate control with first control there are cascade connection, the n is a
Subordinate control include be located at the first control subordinate, and with first control be directly linked or indirect association all controls
Part;
Data source extraction module, for being extracted respectively from the current data source of the n subordinate control and described
N data source of one data correlation, the source of new data as the n subordinate control.
Optionally, described device further includes:
Data source load-on module, for when the second control in the list is triggered, being loaded for second control
Second data source, next stage control of second control for first control, first control and described second
Control is the adjacent control of any two in the list;
The data determining module is additionally operable to determine the second data that second control is triggered, second data
For the data in second data source;
The control determining module is additionally operable to determine the m subordinate control with second control, the m subordinate control
Part include be located at the second control subordinate, and with second control be directly linked or indirect association all controls;
The data source extraction module is additionally operable to extract from second data source and second data correlation
Data source of the third data source as the m subordinate control.
Optionally, the data source extraction module, including:
First association identification acquisition submodule, for obtaining k-th of control in the n subordinate control currently first
The association identification of each data in data source;
Second association identification acquisition submodule, for obtaining the association identification of first data;
Data extracting sub-module, for the association identification according to data each in first data source and first number
According to association identification, the matched one or more of association identification with first data is extracted in first data source
Data are as associated second data source with first data;
Data source determination sub-module, for the source of new data using second data source as k-th of control;
Control submodule is performed, for enabling k=k+1, and repeats the kth obtained in the n subordinate control
The association identification of each data in the first current data source of a control is to described using second data source as the kth
The step of source of new data of a control, until obtaining in the n subordinate control until the source of new data of all controls.
Optionally, the association identification is used to represent the incidence relation and relationship between superior and subordinate between data, and the data carry
Submodule is taken, is used for:
According to the association identification of data each in first data source and the association identification of first data, described
The one or more data for determining to belong to the lower level data of first data in first data source are as second data source.
According to the third aspect of the embodiment of the present disclosure, a kind of computer readable storage medium is provided, is stored thereon with calculating
Machine program, when which is executed by processor described in the first aspect of the realization embodiment of the present disclosure the step of method.
According to the fourth aspect of the embodiment of the present disclosure, a kind of electronic equipment is provided, including:
Computer readable storage medium described in the third aspect of the embodiment of the present disclosure;And
One or more processor, for performing the program in the computer readable storage medium.
Data source processing method, device, storage medium and the equipment of the form controls of the offer of the disclosure, can be in list
In the first control be triggered after, determine the first data that first control is triggered, first data for first control work as
Data in the first preceding data source;Determine the n subordinate control there are cascade connection with first control, n subordinate's control
Part include be located at the first control subordinate, and with first control be directly linked or indirect association all controls;Under the n
The n data source with first data correlation is extracted in the current data source of grade control respectively, as the n subordinate control
Source of new data.It can be when form controls be triggered, according to all list controls of the data being triggered to the form controls subordinate
The data source of part is screened and is preloaded, and dynamically reduces follow-up form controls pair according to the data being triggered in superior control
The data volume answered improves data loading efficiency.
Other feature and advantage of the disclosure will be described in detail in subsequent specific embodiment part.
Description of the drawings
Attached drawing is for providing further understanding of the disclosure, and a part for constitution instruction, with following tool
Body embodiment is used to explain the disclosure, but do not form the limitation to the disclosure together.In the accompanying drawings:
Fig. 1 is the flow chart according to a kind of data source processing method of form controls shown in an exemplary embodiment;
Fig. 2 is the flow chart of the data source processing method for another form controls for implementing to exemplify according to Fig. 1;
Fig. 3 is the flow chart of a kind of data source extracting method for implementing to exemplify according to Fig. 1;
Fig. 4 is the block diagram according to a kind of data source processing unit of form controls shown in an exemplary embodiment;
Fig. 5 is the block diagram according to the data source processing unit of another form controls shown in embodiment illustrated in fig. 4;
Fig. 6 is the block diagram according to a kind of data source extraction module shown in embodiment illustrated in fig. 4;
Fig. 7 is the block diagram according to a kind of electronic equipment shown in an exemplary embodiment;
Fig. 8 is the block diagram according to another electronic equipment shown in an exemplary embodiment.
Specific embodiment
The specific embodiment of the disclosure is described in detail below in conjunction with attached drawing.It should be understood that this place is retouched
The specific embodiment stated is only used for describing and explaining the disclosure, is not limited to the disclosure.
Fig. 1 is according to a kind of flow chart of the data source processing method of form controls shown in an exemplary embodiment, such as
Shown in Fig. 1, this method may comprise steps of:
Step 101, after the first control in list is triggered, the first data that first control is triggered are determined.
Wherein, the data in first data, the first data source current for first control.First control can be
Any dropdown control in form controls group comprising the multistage dropdown control with cascade connection, wherein, each dropdown control
It can be shown in the form of pulling down Option Box or the scroll list, also, when being initialized to the form controls, each drop-down control
Part corresponds to an original data source.
Step 102, the n subordinate control with first control there are cascade connection is determined.
Wherein, which includes being located at the first control subordinate, and with first control direct correlation or indirectly
Associated all controls.For example, first control is shown as the drop-down option frame for selecting national title, above-mentioned n subordinate
The drop-down option frames of titles such as control is respectively indicated as selecting to save, autonomous region or state, for selecting under city name
Draw Option Box and the drop-down option frame for selecting district title.
Step 103, it is extracted respectively from the current data source of the n subordinate control and the n of first data correlation
Data source, the source of new data as the n subordinate control.
Illustratively, when first control is triggered, the corresponding data source of all subordinate controls of first control is contracted
It is small.For example, when user has selected national entitled China in the drop-down option frame of first control, the n subordinate control
In, for selecting the corresponding data source of drop-down option frame of the titles such as province, autonomous region or state by global all provinces, autonomy
Either state etc. is reduced to all provinces, municipality directly under the Central Government, autonomous region or area within Chinese territory in area, similarly, for selecting city name
The corresponding data source of drop-down option frame of title is reduced to all cities within Chinese territory by global all cities, for selecting
The corresponding data source of drop-down option frame of district title is reduced to all districts within Chinese territory by global all districts.
In conclusion the data source processing method for the form controls that the disclosure provides, the first control that can be in list
After being triggered, the first data that first control is triggered are determined, first data, first data current for first control
Data in source;Determine the n subordinate control there are cascade connection with first control, which, which includes being located at, is somebody's turn to do
First control subordinate, and with first control be directly linked or indirect association all controls;Current from the n subordinate control
The n data source with first data correlation, the source of new data as the n subordinate control are extracted in data source respectively.Energy
It is enough when form controls is triggered, according to the data being triggered to the data sources of all form controls of the form controls subordinate into
Row screening and preloading, dynamically reduce the corresponding data volume of follow-up form controls according to the data being triggered in superior control,
Improve data loading efficiency.
Fig. 2 is the flow chart of the data source processing method for another form controls for implementing to exemplify according to Fig. 1, such as
Shown in Fig. 2, after above-mentioned steps 103, this method may also comprise the following steps:.
Step 104, when the second control in the list is triggered, second data source is loaded for second control.
Wherein, which is the next stage control of first control, and first control and second control are the table
The adjacent control of any two in list.
Illustratively, before the step 104, the reduction of the subordinate control data source caused by first control is triggered
It has been completed that, at this point, the corresponding data source of the subordinate control of first control is new to be extracted in above-mentioned steps 103
Data source.Therefore in the second control of the next stage of the first control when loading data source, the data source loaded is exactly that this is new
Data source thus reduces the data volume of the data source of the second control, therefore the data that can accelerate second control add
Carry efficiency so that the second control loading ground is faster.
Step 105, the second data that second control is triggered are determined.
Wherein, which is the data in second data source.
Step 106, the m subordinate control with second control is determined.
Wherein, which includes being located at the second control subordinate, and with second control direct correlation or indirectly
Associated all controls.
Step 107, it is extracted from second data source with the third data source of second data correlation as under the m
The data source of grade control.
Illustratively, it is similar to the process described in step 101-103, when second control is triggered, second control
The corresponding data source of all subordinate controls is reduced again.For example, when user selects in the drop-down option frame of second control
During Liaoning Province, in the m subordinate control, for selecting the corresponding data source of drop-down option frame of city name by within Chinese territory
All cities be reduced to all cities in Liaoning Province, for select the corresponding data source of drop-down option frame of district title by
All districts within Chinese territory are reduced to all districts in Liaoning Province.It is understood that when any in form controls group
When control is triggered, the corresponding data source of control of the control subordinate is contracted by the same way, until the form controls group
In afterbody control be triggered.
Fig. 3 is the flow chart of a kind of data source extracting method for implementing to exemplify according to Fig. 1, as shown in figure 3, above-mentioned
Step 103 may comprise steps of.
Step 1031, each data in the first data source of k-th of control currently in the n subordinate control are obtained
Association identification.
Wherein, which is any subordinate control of above-mentioned first control, which can be the kth
The original data source or carried out on the basis of the original data source that a control is loaded when form controls group initializes
Reduce obtained data source.Wherein, when form controls initializes, each data in all data sources are added to accordingly
Association identification, to show the superior and the subordinate's incidence relation between data.
Step 1032, the association identification of first data is obtained.
Wherein, which is the data triggered in above-mentioned first control by user.
Step 1033, according to the association identification of data each in first data source and the association identification of first data,
Extracted in first data source with the matched one or more data of the association identification of first data as with this first
Associated second data source of data.
Illustratively, which is used to represent the incidence relation and relationship between superior and subordinate between data, which wraps
It includes:According to the association identification of data each in first data source and the association identification of first data, in first data source
In determine the one or more data for the lower level data for belonging to first data as second data source.For example, the first data
Comprising 50 data in source, wherein 20 numbers of 20 data comprising subsidiary association identification A, subsidiary association identification B according to this and
When the association identification for determining the first data is A, first is filtered out according to association identification A for 10 data of subsidiary association identification C
20 data of subsidiary association identification A in data source as the second data source, and then second count this in the following steps 1034
K-th of control is loaded onto according to source.
Step 1034, using second data source as the source of new data of k-th of control.
Step 1035, enable k=k+1, and repeat k-th of control in the acquisition n subordinate control it is current the
The association identification of each data in one data source to this using second data source as the step of the source of new data of k-th of control
Suddenly, until obtaining in the n subordinate control until the source of new data of all controls.
It should be understood that the step 1035 is the iteration implementation procedure to above-mentioned steps 1031~1034, whenever above-mentioned
Step 1031~1034 perform once, and the data source of a subordinate control of first control is reassigned, until completion pair
The update of the data source of all subordinate controls of first control.
In conclusion the data source processing method for the form controls that the disclosure provides, the first control that can be in list
After being triggered, the first data that first control is triggered are determined, first data, first data current for first control
Data in source;Determine the n subordinate control there are cascade connection with first control, which, which includes being located at, is somebody's turn to do
First control subordinate, and with first control be directly linked or indirect association all controls;Current from the n subordinate control
The n data source with first data correlation, the source of new data as the n subordinate control are extracted in data source respectively.Energy
It is enough when form controls is triggered, according to the data being triggered to the data sources of all form controls of the form controls subordinate into
Row screening and preloading, dynamically reduce the corresponding data volume of follow-up form controls according to the data being triggered in superior control,
Improve data loading efficiency.
Fig. 4 is according to a kind of block diagram of the data source processing unit of form controls shown in an exemplary embodiment, the table
The data source processing unit 400 of single control part can be used for performing the method described in Fig. 1.Referring to Fig. 4, which can include:
Data determining module 410 after the first control for working as in list is triggered, determines what first control was triggered
First data, first data are the data in the first current data source of first control;
Control determining module 420, under determining that the n subordinate control with first control there are cascade connection, the n are a
Grade control include be located at the first control subordinate, and with first control be directly linked or indirect association all controls;
Data source extraction module 430, for extracted respectively from the current data source of the n subordinate control with this first
N data source of data correlation, the source of new data as the n subordinate control.
Fig. 5 is according to the block diagram of the data source processing unit of another form controls shown in embodiment illustrated in fig. 4, the table
The data source processing unit 400 of single control part can be used for performing the method described in Fig. 2.Referring to Fig. 5, which can also wrap
It includes:
Data source load-on module 440, for when the second control in the list is triggered, being somebody's turn to do for second control loading
Second data source, second control are the next stage control of first control, and first control and second control are the list
In the adjacent control of any two;
The data determining module 410 is additionally operable to determine the second data that second control is triggered, and second data is are somebody's turn to do
Data in second data source;
The control determining module 420 is additionally operable to determine the m subordinate control with second control, the m subordinate control packet
It includes positioned at the second control subordinate, and is directly linked with second control or all controls of indirect association;
The data source extraction module 430 is additionally operable to extract with second data correlation from second data source
Data source of three data sources as the m subordinate control.
Fig. 6 is according to a kind of block diagram of data source extraction module shown in embodiment illustrated in fig. 4, the data source extraction module
430 can be used for performing the method described in Fig. 3.Referring to Fig. 6, which can include:
First association identification acquisition submodule 431, for obtain k-th of control in the n subordinate control it is current the
The association identification of each data in one data source;
Second association identification acquisition submodule 432, for obtaining the association identification of first data;
Data extracting sub-module 433, for the association identification according to data each in first data source and first number
According to association identification, extracted in first data source and the matched one or more data of the association identification of first data
As associated second data source with first data;
Data source determination sub-module 434, for the source of new data using second data source as k-th of control;
Control submodule 435 is performed, for enabling k=k+1, and repeats k-th in the acquisition n subordinate control
The association identification of each data in the first current data source of control to this using second data source as k-th of control
The step of source of new data, until obtaining in the n subordinate control until the source of new data of all controls.
Optionally, which is used to represent the incidence relation and relationship between superior and subordinate between data, data extraction
Module 433, is used for:
According to the association identification of data each in first data source and the association identification of first data, in first number
According to the one or more data for the lower level data for determining to belong to first data in source as second data source.
In conclusion the data source processing unit for the form controls that the disclosure provides, the first control that can be in list
After being triggered, the first data that first control is triggered are determined, first data, first data current for first control
Data in source;Determine the n subordinate control there are cascade connection with first control, which, which includes being located at, is somebody's turn to do
First control subordinate, and with first control be directly linked or indirect association all controls;Current from the n subordinate control
The n data source with first data correlation, the source of new data as the n subordinate control are extracted in data source respectively.Energy
It is enough when form controls is triggered, according to the data being triggered to the data sources of all form controls of the form controls subordinate into
Row screening and preloading, dynamically reduce the corresponding data volume of follow-up form controls according to the data being triggered in superior control,
Improve data loading efficiency.
About the device in above-described embodiment, wherein modules perform the concrete mode of operation in related this method
Embodiment in be described in detail, explanation will be not set forth in detail herein.
Fig. 7 is the block diagram according to a kind of electronic equipment 700 shown in an exemplary embodiment.As shown in fig. 7, the electronics is set
Standby 700 can include:Processor 701, memory 702, multimedia component 703, input/output (I/O) interface 704, Yi Jitong
Believe component 705.
Wherein, processor 701 is used to control the integrated operation of the electronic equipment 700, to complete above-mentioned form controls
All or part of step in data source processing method.Memory 702 is used to store various types of data to support in the electricity
The operation of sub- equipment 700, these data can for example include for any application program for being operated on the electronic equipment 700 or
The instruction of method and the relevant data of application program, such as contact data, message, picture, audio, the video etc. of transmitting-receiving
Deng.The memory 702 can realize by any kind of volatibility or non-volatile memory device or combination thereof, such as
Static RAM (Static Random Access Memory, abbreviation SRAM), electrically erasable is read-only to be deposited
Reservoir (Electrically Erasable Programmable Read-Only Memory, abbreviation EEPROM), it is erasable can
Program read-only memory (Erasable Programmable Read-Only Memory, abbreviation EPROM) may be programmed read-only deposit
Reservoir (Programmable Read-Only Memory, abbreviation PROM), and read-only memory (Read-Only Memory, referred to as
ROM), magnetic memory, flash memory, disk or CD.Multimedia component 703 can include screen and audio component.Wherein
Screen for example can be touch screen, and audio component is for output and/or input audio signal.For example, audio component can include
One microphone, microphone are used to receive external audio signal.The received audio signal can be further stored in storage
Device 702 is sent by communication component 705.Audio component further includes at least one loud speaker, for exports audio signal.I/O
Interface 704 provides interface between processor 701 and other interface modules, other above-mentioned interface modules can be keyboard, mouse,
Button etc..These buttons can be virtual push button or entity button.Communication component 705 is for the electronic equipment 700 and other
Wired or wireless communication is carried out between equipment.Wireless communication, such as Wi-Fi, bluetooth, near-field communication (Near Field
Communication, abbreviation NFC), 2G, 3G or 4G or they one or more of combination, therefore corresponding communication
Component 705 can include:Wi-Fi module, bluetooth module, NFC module.
In one exemplary embodiment, electronic equipment 700 can be by one or more application application-specific integrated circuit
(Application Specific Integrated Circuit, abbreviation ASIC), digital signal processor (Digital
Signal Processor, abbreviation DSP), digital signal processing appts (Digital Signal Processing Device,
Abbreviation DSPD), programmable logic device (Programmable Logic Device, abbreviation PLD), field programmable gate array
(Field Programmable Gate Array, abbreviation FPGA), controller, microcontroller, microprocessor or other electronics member
Part is realized, for performing the data source processing method of above-mentioned form controls.
In a further exemplary embodiment, a kind of computer readable storage medium including program instruction, example are additionally provided
Such as include the memory 702 of program instruction, above procedure instruction can be performed by the processor 701 of electronic equipment 700 in completion
The data source processing method for the form controls stated.
Fig. 8 is the block diagram according to a kind of electronic equipment 800 shown in an exemplary embodiment.For example, electronic equipment 800 can
To be provided as a server.With reference to Fig. 8, electronic equipment 800 includes processor 822, and quantity can be one or more, with
And memory 832, for storing the computer program that can be performed by processor 822.The computer program stored in memory 832
Can include it is one or more each correspond to the module of one group of instruction.In addition, processor 822 can be configured as
The computer program is performed, to perform the data source processing method of above-mentioned form controls.
In addition, electronic equipment 800 can also include power supply module 826 and communication component 850, which can be with
It is configured as performing the power management of electronic equipment 800, which, which can be configured as, realizes electronic equipment 800
Communication, for example, wired or wireless communication.In addition, the electronic equipment 800 can also include input/output (I/O) interface 858.Electricity
Sub- equipment 800 can be operated based on the operating system for being stored in memory 832, such as Windows ServerTM, Mac OS
XTM, UnixTM, LinuxTM etc..
In a further exemplary embodiment, a kind of computer readable storage medium including program instruction, example are additionally provided
Such as include the memory 832 of program instruction, above procedure instruction can be performed by the processor 822 of electronic equipment 800 in completion
The data source processing method for the form controls stated.
The preferred embodiment of the disclosure is described in detail above in association with attached drawing, still, the disclosure is not limited to above-mentioned reality
The detail in mode is applied, in the range of the technology design of the disclosure, a variety of letters can be carried out to the technical solution of the disclosure
Monotropic type, these simple variants belong to the protection domain of the disclosure.
It is further to note that specific technical features described in the above specific embodiments, in not lance
In the case of shield, can be combined by any suitable means, in order to avoid unnecessary repetition, the disclosure to it is various can
The combination of energy no longer separately illustrates.
In addition, arbitrary combination can also be carried out between a variety of different embodiments of the disclosure, as long as it is without prejudice to originally
Disclosed thought should equally be considered as disclosure disclosure of that.
Claims (10)
1. a kind of data source processing method of form controls, which is characterized in that the method includes:
After the first control in list is triggered, the first data that first control is triggered, first data are determined
Data in the first data source current for first control;
Determine the n subordinate control there are cascade connection with first control, the n subordinate control is including positioned at described the
One control subordinate, and with first control be directly linked or indirect association all controls;
The n data source with first data correlation is extracted in the data source current from the n subordinate control respectively, is made
Source of new data for the n subordinate control.
2. according to the method described in claim 1, it is characterized in that, the method further includes:
When the second control in the list is triggered, second data source is loaded for second control, described second
Control is the next stage control of first control, and first control and second control are arbitrary two in the list
A adjacent control;
Determine the second data that second control is triggered, second data are the data in second data source;
Determining the m subordinate control with second control, the m subordinate control includes being located at the second control subordinate,
And with second control be directly linked or indirect association all controls;
It is extracted from second data source with the third data source of second data correlation as the m subordinate control
Data source.
3. according to the method described in claim 1, it is characterized in that, in the data source current from the n subordinate control
The n data source with first data correlation is extracted respectively, as the source of new data of the n subordinate control, including:
Obtain the association identification of each data in the first data source of k-th of control currently in the n subordinate control;
Obtain the association identification of first data;
According to the association identification of data each in first data source and the association identification of first data, described first
Extracted in data source with the matched one or more data of the association identification of first data as with first data
Associated second data source;
Using second data source as the source of new data of k-th of control;
K=k+1 is enabled, and is repeated in the first current data source of k-th of the control obtained in the n subordinate control
Each data association identification to described using second data source as the step of the source of new data of k-th of control,
Until obtaining in the n subordinate control until the source of new data of all controls.
4. according to the method described in claim 3, it is characterized in that, the association identification is used to represent that the association between data to be closed
System and relationship between superior and subordinate, the association of the association identification and first data according to data each in first data source
Mark extracts and the matched one or more data conducts of the association identification of first data in first data source
With associated second data source of first data, including:
According to the association identification of data each in first data source and the association identification of first data, described first
The one or more data for determining to belong to the lower level data of first data in data source are as second data source.
5. the data source processing unit of a kind of form controls, which is characterized in that described device includes:
Data determining module after the first control for working as in list is triggered, determines first control is triggered first
Data, first data are the data in the first current data source of first control;
Control determining module, for determining that there are n subordinate control of cascade connection, the n subordinates with first control
Control include be located at the first control subordinate, and with first control be directly linked or indirect association all controls;
Data source extraction module, for being extracted respectively from the current data source of the n subordinate control and the described first number
According to associated n data source, the source of new data as the n subordinate control.
6. device according to claim 5, which is characterized in that described device further includes:
Data source load-on module, for when the second control in the list is triggered, being described in second control loading
Second data source, second control are the next stage control of first control, first control and second control
For the adjacent control of any two in the list;
The data determining module is additionally operable to determine the second data that second control is triggered, and second data are institute
State the data in the second data source;
The control determining module is additionally operable to determine the m subordinate control with second control, the m subordinate control packet
It includes positioned at the second control subordinate, and is directly linked with second control or all controls of indirect association;
The data source extraction module is additionally operable to extract the third with second data correlation from second data source
Data source of the data source as the m subordinate control.
7. device according to claim 5, which is characterized in that the data source extraction module, including:
First association identification acquisition submodule, for obtaining the first current data of k-th of control in the n subordinate control
The association identification of each data in source;
Second association identification acquisition submodule, for obtaining the association identification of first data;
Data extracting sub-module, for the association identification according to data each in first data source and first data
Association identification extracts and the matched one or more data of the association identification of first data in first data source
As associated second data source with first data;
Data source determination sub-module, for the source of new data using second data source as k-th of control;
Control submodule is performed, for enabling k=k+1, and repeats k-th of the control obtained in the n subordinate control
The association identification of each data in the first current data source of part is to described using second data source as described k-th control
The step of source of new data of part, until obtaining in the n subordinate control until the source of new data of all controls.
8. device according to claim 7, which is characterized in that the association identification is used to represent that the association between data to be closed
System and relationship between superior and subordinate, the data extracting sub-module are used for:
According to the association identification of data each in first data source and the association identification of first data, described first
The one or more data for determining to belong to the lower level data of first data in data source are as second data source.
9. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the program is held by processor
The step of any one of claim 1-4 the methods are realized during row.
10. a kind of electronic equipment, which is characterized in that including:
Computer readable storage medium described in claim 9;And
One or more processor, for performing the program in the computer readable storage medium.
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