CN107807608A - Data processing method, data handling system and storage medium - Google Patents

Data processing method, data handling system and storage medium Download PDF

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Publication number
CN107807608A
CN107807608A CN201711066268.5A CN201711066268A CN107807608A CN 107807608 A CN107807608 A CN 107807608A CN 201711066268 A CN201711066268 A CN 201711066268A CN 107807608 A CN107807608 A CN 107807608A
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China
Prior art keywords
data processing
machine
work machine
master
work
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CN201711066268.5A
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Chinese (zh)
Inventor
朱鑫
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Tencent Technology Shenzhen Co Ltd
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Tencent Technology Shenzhen Co Ltd
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Priority to CN201711066268.5A priority Critical patent/CN107807608A/en
Publication of CN107807608A publication Critical patent/CN107807608A/en
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    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00Programme-control systems
    • G05B19/02Programme-control systems electric
    • G05B19/18Numerical control [NC], i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form
    • G05B19/408Numerical control [NC], i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form characterised by data handling or data format, e.g. reading, buffering or conversion of data
    • G05B19/4083Adapting programme, configuration
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00Program-control systems
    • G05B2219/30Nc systems
    • G05B2219/35Nc in input of data, input till input file format
    • G05B2219/35356Data handling

Abstract

The present invention provides a kind of data processing method, and the data processing method includes step:Master machine receives data processing request;Master machine judges whether the Work machine in Work machine group is in idle condition;As Work machine is in idle condition, then data processing task corresponding to data processing request is sent to Work machine, and Work machine is switched into working condition;Wherein master machine presses setting time interval, and heartbeat detection instruction is sent to all working machine;And the Work machine in Work machine group is determined according to the instruction feedback of Work machine.The present invention also provides a kind of data handling system, data processing method of the invention and data handling system by Work machine group of the master machine control with least one Work machine, realizes multi-thread task processing to improve data-handling efficiency;Validation checking is carried out to all working machine in Work machine group using heartbeat detection instruction simultaneously, improves the validity of data processing.

Description

Data processing method, data handling system and storage medium
Technical field
The present invention relates to data processing field, more particularly to a kind of data processing method, data handling system and storage Medium.
Background technology
When the data service systems such as existing nginx carry out data processing, row data processing can be typically deployed in simultaneously Master machine (master machines) and corresponding Work machine (worker machines), i.e. master machine receive data processing request, then By data processing request and corresponding data transfer to Work machine, finally it is responsible for specific data processing by Work machine Logic, because Work machine individually associates with corresponding master machine, or even Work machine and master machine are uniform machinery, therefore can To play the maximum performance of every Work machine.
But with the development of network, network data processing amount is increasing, and the data amount of calculation of single task role is also more next It is bigger.The task huge in face of amount of calculation, master machine can not carry out dynamic expansion to the task with huge amount of calculation, so as to lead Cause the reduction of the data-handling efficiency of partial task.
Existing data service system simultaneously, corresponding monitoring programme is not provided with to master machine and Work machine, such as main Machine or Work machine collapse, data service system can only not responded by data processing request to be judged, causes data to take The further reduction of the data-handling efficiency of business system.
The content of the invention
The embodiment of the present invention provides a kind of data-handling efficiency higher data processing method, data handling system and storage Medium;To solve the relatively low technical problem of the data-handling efficiency of existing data processing method and data handling system.
The embodiment of the present invention provides a kind of data processing method, and data processing operation is carried out for data handling system, its Described in data handling system include at least one master machine and a Work machine group, the Work machine group includes at least one Individual Work machine, wherein the data processing method includes:
The master machine receives data processing request;
The master machine judges whether the Work machine in the Work machine group is in idle condition;And
Function as described machine and be in idle condition, then send data processing task corresponding to the data processing request To the Work machine, and the Work machine is switched into working condition;
Wherein described master machine presses setting time interval, and heartbeat detection instruction is sent to all working machine;And according to institute The instruction feedback for stating Work machine determines Work machine in the Work machine group.
The embodiment of the present invention also provides a kind of data handling system, and for carrying out data processing operation, it includes master machine And a Work machine group, Work machine group include at least one Work machine;
Wherein described master machine includes:
Data processing request receiving module, for receiving data processing request;
Work machine condition judgment module, for judging whether the Work machine in the Work machine group is in idle shape State;
Data processing task sending module, for data processing task corresponding to the data processing request to be sent to institute Work machine is stated, and the Work machine is switched into working condition;
Heartbeat detection instruction sending module, for by setting time interval, sending heartbeat detection to all working machine and referring to Order;And
Work machine group determining module, for being determined according to the instruction feedback of the Work machine in the Work machine group Work machine.
Compared to prior art, data processing method of the invention, data handling system and storage medium pass through a main frame Work machine group of the device control with multiple Work machines, multi-thread task processing is realized to improve data-handling efficiency;Simultaneously Validation checking is carried out to all working machine in Work machine group using heartbeat detection instruction, improve data processing has Effect property.Solves the relatively low technical problem of the data-handling efficiency of existing data processing method and data handling system.
Brief description of the drawings
Fig. 1 is the flow chart of the first preferred embodiment of the data processing method of the present invention;
Fig. 2 is the step S102 of the first preferred embodiment of the data processing method of present invention flow chart;
Fig. 3 is the flow chart of the second preferred embodiment of the data processing method of the present invention;
Fig. 4 is the structural representation of the first preferred embodiment of the data handling system of the present invention;
Fig. 5 is that the structure of the Work machine group determining module of the first preferred embodiment of the data handling system of the present invention is shown It is intended to;
Fig. 6 is the structural representation of the second preferred embodiment of the data handling system of the present invention;
Fig. 7 is the structure of the data processing task sending module of the second preferred embodiment of the data handling system of the present invention Schematic diagram;
Fig. 8 a are the system architecture diagram of the specific embodiment of the data handling system of the present invention;
Fig. 8 b be the present invention data processing method and data handling system specific embodiment workflow diagram;
Fig. 9 be the present invention data handling system part where electronic equipment working environment structural representation.
Embodiment
Schema is refer to, wherein identical element numbers represent identical component, and principle of the invention is to implement one Illustrated in appropriate computing environment.The following description is based on the illustrated specific embodiment of the invention, and it should not be by It is considered as the limitation present invention other specific embodiments not detailed herein.
In the following description, specific embodiment of the invention will be referred to as the operation performed by one or multi-section computer The step of and symbol illustrate, unless otherwise stating clearly.Therefore, it will appreciate that these steps and operation, be carried for several times wherein having To be performed by computer, include by representing with the computer disposal list of the electronic signal of the data in a structuring pattern Member is manipulated.This manipulation transforms data or the opening position being maintained in the memory system of the computer, it can match somebody with somebody again Put or change the running of the computer in a manner familiar to those skilled in the art in addition.The data knot that the data are maintained Structure is the provider location of the internal memory, and it has the particular characteristics as defined in the data format.But the principle of the invention is with above-mentioned Word illustrates, it is not represented as a kind of limitation, those skilled in the art will appreciate that plurality of step as described below and Operation also may be implemented among hardware.
The data processing method and data handling system of the present invention can be used for business datum is handled and managed In electronic equipment, the electronic equipment include but is not limited to wearable device, helmet, medical treatment & health platform, personal computer, Server computer, hand-held or laptop devices, mobile device (such as mobile phone, personal digital assistant (PDA), media Player etc.), multicomputer system, consumer electronic devices, minicom, mainframe computer including above-mentioned any system System or the DCE of equipment, etc..The electronic equipment is preferably the data service system of more machines such as nginx.This The data processing method and data handling system of invention have the Work machine group of multiple Work machines by master machine control, Multi-thread task processing is realized to improve data-handling efficiency;Simultaneously using heartbeat detection instruction to all in Work machine group Work machine carries out validation checking, improves the validity of data processing;Effectively solves existing data processing method And the relatively low technical problem of data-handling efficiency of data handling system.
Fig. 1 is refer to, Fig. 1 is the flow chart of the first preferred embodiment of the data processing method of the present invention.This is preferred real Above-mentioned electronic equipment (data handling system) can be used to be implemented for the data processing method for applying example, so as to data handling system Carry out data processing operation.The data handling system includes at least one master machine and with Work machine group, the Work machine Group includes at least one Work machine.Wherein master machine is scheduled for data processing task, and Work machine is used for data Processing task calculation process.The data processing method of this preferred embodiment includes:
Step S101, master machine receive data processing request;
Step S102, master machine judge whether the Work machine in Work machine group is in idle condition;
Step S103, as Work machine is in idle condition, then master machine is by data processing corresponding to data processing request Task is sent to Work machine, and Work machine is switched into working condition.
The following detailed description of the idiographic flow of each step of the data processing method of this preferred embodiment.
In step S101, the data processing request outside master machine reception, the data processing request is at request data Reason system carries out the request of data task processing.Then pass to step S102.
In step s 102, master machine obtains the Work machine in Work machine group, and judges the work in Work machine group Make whether machine is in idle condition.Here Work machine group includes multiple Work machines in normal operating conditions.It is main The data processing task of data processing request can be issued to Work machine and carry out multiple threads by machine.Therefore data are being issued Before processing task, master machine needs to prejudge whether the Work machine is in idle condition, i.e., does not handle other data Processing task.Then pass to step S103.
In step s 103, as some Work machine in judgment step S102 is in idle condition, then master machine will walk Data processing task corresponding to the data processing request that rapid S101 is obtained, which is sent to the Work machine, to be handled, and is such as passed through The DLLs such as socket send data processing task to Work machine;And the Work machine is switched into working condition.Such as Some Work machine in judgment step S102 is in running order, then not sending any data processing to the Work machine appoints Business.
Specifically, in the step S102 of this preferred embodiment, master machine can obtain Work machine group by below scheme In Work machine.Fig. 2 is refer to, Fig. 2 is the step S102's of the first preferred embodiment of the data processing method of the present invention Flow chart.Step S102 includes:
Step S201, master machine press setting time interval, send heartbeat detection instruction to all working machine, and receive work Make the instruction feedback of machine.
Because master machine and Work machine are separately controlled, i.e., the working machine that master machine is made up of multiple Work machines Device group carries out data processing task control.Therefore master machine is needed to the working machine in machine operation group in the preferred embodiment Device availability deciding, i.e. master machine can send heartbeat detection instruction by setting time interval to all working machine, and according to work Make the instruction feedback that machine instructs for the heartbeat detection, determine whether the Work machine is effective, if needs remain in In Work machine group.
Step S202, as Work machine to heartbeat detection instruct Normal Feedback, then illustrate that the Work machine is in normal work Make state, then the Work machine is arranged in Work machine group by master machine.Specifically, as the Work machine is in Work machine Group, then master machine the Work machine is continually maintained in Work machine group;Such as the Work machine is not in Work machine group, then The Work machine is added in Work machine group by master machine, to issue data processing task to the Work machine in time.
Step S203, as Work machine to heartbeat detection instruction exception feed back, then illustrate that the Work machine is in abnormal shape State, because the Work machine in abnormality can not be effectively treated to data processing task, therefore master machine meeting here Whether Work machine is judged in Work machine group.
Step S204, Work machine group such as is in the Work machine of abnormality, then master machine is by the Work machine Rejected from Work machine group;Such as the Work machine in abnormality is not in Work machine group, then master machine is not to the work Machine does any operation.
So complete the flow chart of data processing of the data processing method of this preferred embodiment.
The data processing method of this preferred embodiment passes through Work machine of the master machine control with multiple Work machines Group, multi-thread task processing is realized to improve data-handling efficiency;Instructed simultaneously using heartbeat detection in Work machine group All working machine carries out validation checking, improves the validity of data processing.
Fig. 3 is refer to, Fig. 3 is the flow chart of the second preferred embodiment of the data processing method of the present invention.This is preferred real Above-mentioned electronic equipment (data handling system) can be used to be implemented for the data processing method for applying example, so as to data handling system Carry out data processing operation.The data handling system includes multiple main frames device, application program Coordination module, data processing task number According to storehouse and Work machine group, the Work machine group includes at least one Work machine.Wherein master machine is appointed for data processing Business is scheduled, and Work machine is used for data processing task calculation process, and application program Coordination module is used to determine master machine State of activation, data processing task database be used for data storage processing request and corresponding data.This preferred embodiment Data processing method includes:
Step S301, application program Coordination module determines that a master machine in multiple main frames device is active, more Other master machines in individual master machine are in unactivated state;
Step S302, the master machine being active receive data processing request from data processing task database;
Step S303, master machine judge whether the Work machine in Work machine group is in idle condition;
Step S304, as Work machine is in idle condition, then master machine is by data processing corresponding to data processing request Task, split by the setting workload of Work machine;
Step S305, master machine send the data processing task after segmentation to corresponding Work machine, and by working machine Device switches to working condition;
Step S306, Work machine switch to idle condition, and send out to master machine after data processing task is finished Machine idle is sent to instruct.
The following detailed description of the idiographic flow of each step of the data processing method of this preferred embodiment.
It is abnormal in order to prevent from master machine from occurring crashing etc. in step S301, thus notebook data processing system include it is multiple Master machine, there is a master machine to be active at any time, other master machines are in unactivated state.Such as state of activation Master machine abnormal, the open source software such as application program Coordination module such as Zookeeper such as occur crashing, can be by multiple main frames device In other master machine be arranged to state of activation, such as pass through the master machine of other All hosts devices election generation state of activation Deng;Other master machines in multiple main frames device are arranged to unactivated state.So it can preferably ensure that random time has One is in the master machine of normal operating conditions.The application program Coordination module can be provided separately within an independent machine, also may be used It is set directly in multiple main frames device.Then pass to step S302.
In step s 302, the master machine being active receives data processing from data processing task database please Ask.In order to strengthen the treatment effeciency of data processing task, use data processing task database right in advance in this preferred embodiment Data processing request and corresponding data are stored;So master machine can be received directly from data processing task database Data processing request, and data processing request and corresponding data data processing task data can be directly stored in by technical staff can Permanent storage.The data processing request is the request that request data processing system carries out data task processing.Then pass to step S303。
In step S303, master machine obtains the Work machine in Work machine group, and judges the work in Work machine group Make whether machine is in idle condition.Here Work machine group includes multiple Work machines in normal operating conditions.It is main The data processing task of data processing request can be issued to Work machine and carry out multiple threads by machine.Therefore data are being issued Before processing task, master machine needs to prejudge whether the Work machine is in idle condition, i.e., does not handle other data Processing task.Then pass to step S304.
In step s 304, as some Work machine in judgment step S303 is in idle condition, then master machine will walk Data processing task corresponding to the data processing request that rapid S302 is obtained, is split by the setting workload of the Work machine, So that the more Work machines are handled the data processing task of big data quantity.Such as by Work machine A, Work machine B with And Work machine C setting workload is respectively 1:2:3, then master machine data processing task can be averagely divided into 6 parts, by 1: 2:3 pro rate is to Work machine A, Work machine B and Work machine C.Then pass to step S305.
In step S305, the data processing task after segmentation is sent to the Work machine and handled by master machine, and The Work machine is switched into working condition.It is as some Work machine in judgment step S304 is in running order, then not right The Work machine sends any data processing task.Then pass to step S306.
In step S306, in order to further improve the treatment effeciency of the data processing task of data handling system, work Work machine can be switched to idle condition by machine automatically after data processing task is finished, and to master machine transmitter Device idle instruction.So master machine can understand the working condition of all working machine in Work machine group in time, facilitate data Processing task issues in time.
So complete the flow chart of data processing of the data processing method of this preferred embodiment.
On the basis of first preferred embodiment, the data processing method of this preferred embodiment coordinates mould by application program The setting of block, further increase the stability of data processing method work;Master machine can be according to the setting work of Work machine Amount is split to data processing task, is handled by multiple Work machines data processing task larger to data volume, Improve the data-handling efficiency of data processing task;Certainly be about to working condition feeds back to master machine to Work machine, further carries High acquisition speed of the master machine to the working condition of Work machine in Work machine group.
The present invention also provides a kind of data handling system, refer to Fig. 4, and Fig. 4 is the of the data handling system of the present invention The structural representation of one preferred embodiment.Above-mentioned data processing method can be used in the data handling system of this preferred embodiment First preferred embodiment is implemented, and the data handling system 40 of this preferred embodiment includes the Work machine of master machine 41 and one Group 42, the Work machine group 42 includes at least one Work machine 421.
Wherein master machine 41 includes data processing request receiving module 411, Work machine condition judgment module 412, data Processing task sending module 413, heartbeat detection instruction sending module 414 and Work machine group determining module 415.
Data processing request receiving module 411 is used to receive data processing request;Work machine condition judgment module 412 is used In judging whether the Work machine in Work machine group is in idle condition;Data processing task sending module 413 is used for number Sent according to data processing task corresponding to processing request to Work machine, and Work machine is switched into working condition;Heartbeat is examined Survey instruction sending module 414 to be used to press setting time interval, heartbeat detection instruction is sent to all working machine;Work machine group Determining module 415 is used to determine the Work machine in Work machine group according to the instruction feedback of Work machine.
Fig. 5 is refer to, Fig. 5 is that the Work machine group of the first preferred embodiment of the data handling system of the present invention determines mould The structural representation of block.The Work machine group determining module 415 includes the first setting unit 4151 and the second setting unit 4152.First setting unit 4151 is used for Work machine 421 such as and instructs Normal Feedback to heartbeat detection, then by Work machine 421 It is arranged in Work machine group 42;Second setting unit 4152 is used for Work machine 421 such as and heartbeat detection instruction exception is fed back, And Work machine 421 is in Work machine group 42, then Work machine 421 is rejected from Work machine group 42.
The data handling system 40 of this preferred embodiment is in use, the data processing request receiving module of master machine 41 first Data processing request outside 411 receptions, the data processing request are that request data processing system carries out data task processing Request.
The Work machine condition judgment module 412 of subsequent master machine 41 obtains the Work machine 421 in Work machine group 42, And judge whether the Work machine 421 in Work machine group 42 is in idle condition.Here Work machine group 42 includes multiple Work machine 421 in normal operating conditions.The data processing task of data processing request can be issued to work by master machine 41 Make machine 421 and carry out multiple threads.Therefore before data processing task is issued, master machine 41 needs to prejudge the work Whether machine is in idle condition, i.e., does not handle other data processing tasks.
Then as judged that some Work machine 421 in Work machine group 42 is in the number of idle condition, then master machine 41 Data processing task corresponding to the data processing request of acquisition is sent to the Work machine according to processing task sending module 413 Row processing, is such as sent data processing task to Work machine 421 by socket DLLs;And by the Work machine 421 switch to working condition.Such as judge that some Work machine 421 in Work machine group 42 is in running order, then not to this Work machine 421 sends any data processing task.
Specifically, master machine 41 can obtain the Work machine 421 in Work machine group 42 by below scheme.
The heartbeat detection instruction sending module 414 of master machine 41 presses setting time interval first, to all working machine 421 Heartbeat detection instruction is sent, and receives the instruction feedback of Work machine 421.
Because master machine 41 and Work machine 421 are separately controlled, i.e., master machine 41 passes through multiple 421 groups of Work machines Into Work machine group 42 carry out data processing task control.Therefore master machine 41 is needed to machine work in the preferred embodiment The availability deciding of Work machine 421 in work group 42, i.e. master machine 41 can be by setting time intervals, to all working machine 421 Heartbeat detection instruction, and the instruction feedback instructed according to Work machine 421 for the heartbeat detection are sent, determines the Work machine Whether 421 is effective, if needs to remain in Work machine group 42.
As Work machine 421 to heartbeat detection instruct Normal Feedback, then illustrate that the Work machine 421 is in normal work shape The Work machine 421 is arranged on Work machine group 42 by state, the first setting unit 4151 of Work machine group determining module 415 In.Specifically, be in Work machine group 42 such as the Work machine 421, then the first setting unit 4151 by the Work machine 421 after It is continuous to be maintained in Work machine group 42;Such as the Work machine 421 is not in Work machine group 42, then the first setting unit 4151 will The Work machine 421 is added in Work machine group 42, to issue data processing task to the Work machine 421 in time.
As Work machine 421 to heartbeat detection instruction exception feed back, then illustrate that the Work machine 421 is in abnormality, Because the Work machine 421 in abnormality can not be effectively treated to data processing task, therefore Work machine here Whether the second setting unit 4152 of group determining module 415 can be judged in Work machine group 42 Work machine 421.
Work machine group 42 such as is in the Work machine 421 of abnormality, then the second setting unit 4152 is by the work Make machine 421 to reject from Work machine group 42;Such as the Work machine 421 in abnormality is not in Work machine group 42, then Second setting unit 4152 does not do any operation to the Work machine.
So complete the flow chart of data processing of the data handling system 40 of this preferred embodiment.
The data handling system of this preferred embodiment passes through Work machine of the master machine control with multiple Work machines Group, multi-thread task processing is realized to improve data-handling efficiency;Instructed simultaneously using heartbeat detection in Work machine group All working machine carries out validation checking, improves the validity of data processing.
Fig. 6 is refer to, Fig. 6 is the structural representation of the second preferred embodiment of the data handling system of the present invention.This is excellent The data handling system of embodiment is selected the second preferred embodiment of above-mentioned data processing method to can be used to be implemented, this is preferably The data handling system 60 of embodiment includes multiple main frames device 61, application program Coordination module 62, data processing task database 63 and Work machine group 64, the Work machine group 64 include at least one Work machine 641.Wherein master machine 61 is used for data Processing task is scheduled, and Work machine 641 is used to be used for data processing task calculation process, application program Coordination module 62 The state of activation of master machine 61 is determined, data processing task database 63 is used for data storage processing request and corresponding data.
Wherein master machine 61 includes data processing request receiving module 611, Work machine condition judgment module 612, data Processing task sending module 613, heartbeat detection instruction sending module 614 and Work machine group determining module 615.
Data processing request receiving module 611 is used to receive data processing request from data processing task database 63;Work Make machine state judge module 612 to be used to judge whether the Work machine 641 in Work machine group is in idle condition;At data Reason task sending module 613 is used to send data processing task corresponding to data processing request to Work machine 641, and by work Make machine 641 and switch to working condition;Heartbeat detection instruction sending module 614 is used to press setting time interval, to all working Machine 641 sends heartbeat detection instruction;Work machine group determining module 615 is true for the instruction feedback according to Work machine 641 Determine the Work machine 641 in Work machine group 64.
Work machine 641 includes being used for after data processing task is finished, and switches to idle condition, and to master machine The machine idle instruction sending module of distribution of machine idle instruction.
Fig. 7 is refer to, Fig. 7 is that the data processing task of the second preferred embodiment of the data handling system of the present invention is sent The structural representation of module.The data processing task sending module 613 includes data processing task cutting unit 6131 and number According to processing task transmitting element 6132.
Data processing task cutting unit 6131 is used for data processing task corresponding to data processing request, by working machine The setting workload of device is split;Data processing task transmitting element 6132 is used to send the data processing task after segmentation To corresponding Work machine 641.
The data handling system 60 of this preferred embodiment in use, abnormal in order to prevent from master machine 61 from occurring crashing etc., because This notebook data processing system 60 includes multiple main frames device 61, has a master machine 61 to be active at any time, other Master machine 61 is in unactivated state.There is abnormal, the application program Coordination module 62 that crashes in the master machine 61 of such as state of activation Such as Zookeeper open source softwares, other master machine 61 in multiple main frames device 61 can be arranged to state of activation, such as Master machine 61 of generation state of activation etc. is elected by other All hosts devices 61;By other master machines in multiple main frames device 61 61 are arranged to unactivated state.It so can preferably ensure that random time has a master machine for being in normal operating conditions 61.The application program Coordination module 62 can be provided separately within an independent machine, can also be set directly at multiple main frames device 61 In.
Then in state of activation master machine 61 data processing request receiving module 611 from data processing task data Storehouse 63 receives data processing request.In order to strengthen the treatment effeciency of data processing task, used in this preferred embodiment at data Reason assignment database 63 stores to data processing request and corresponding data in advance;So master machine 61 can directly from Data processing task database 63 receives data processing request, and data processing request and corresponding data can be straight by technical staff Connect the permanent storage of deposit data processing task database 63.The data processing request is that request data processing system carries out data times The request of business processing.
Then the Work machine condition judgment module 612 of master machine 61 obtains the Work machine in Work machine group, and sentences Whether the Work machine 641 in disconnected Work machine group 64 is in idle condition.Here Work machine group 64 includes multiple be in The Work machine 641 of normal operating conditions.The data processing task of data processing request can be issued to working machine by master machine 61 Device 641 carries out multiple threads.Therefore before data processing task is issued, master machine 61 needs to prejudge the Work machine Whether 641 be in idle condition, i.e., does not handle other data processing tasks.
Specifically, master machine 61 can obtain the Work machine 641 in Work machine group 64 by below scheme.
The heartbeat detection instruction sending module 614 of master machine 61 presses setting time interval first, to all working machine 641 Heartbeat detection instruction is sent, and receives the instruction feedback of Work machine 641.The Work machine group 64 of subsequent master machine 61 determines mould Root tuber determines the Work machine 641 in Work machine group 64 according to the instruction feedback of Work machine 641.
Then such as judge that some Work machine 641 is in idle condition, then the data processing task of master machine 61 sends mould The data processing task cutting unit 6131 of block 613 is by data processing task corresponding to the data processing request of acquisition, by the work The setting workload for making machine 641 is split, so that the more Work machines 641 enter to the data processing task of big data quantity Row processing.It is respectively 1 such as by Work machine A, Work machine B and Work machine C setting workload:2:3, then master machine can Data processing task is averagely divided into 6 parts, by 1:2:3 pro rate is to Work machine A, Work machine B and working machine Device C.
The data processing task transmitting element 6132 of the data processing task sending module 613 of last master machine 61 will be split Data processing task afterwards is sent to the Work machine 641 and handled, and the Work machine 641 is switched into working condition. As judged, some Work machine 641 is in running order, then does not send any data processing task to the Work machine 641.
In order to further improve the treatment effeciency of the data processing task of data handling system 60, Work machine 641 is in number After according to processing tasks carrying, Work machine 641 can be switched into idle condition automatically, and to the machine idle of master machine 61 Command reception module distribution of machine idle instruction.So master machine 61 can understand all working machine in Work machine group 64 in time The working condition of device 641, facilitate issuing in time for data processing task.
So complete the flow chart of data processing of the data handling system 60 of this preferred embodiment.
On the basis of first preferred embodiment, the data handling system of this preferred embodiment coordinates mould by application program The setting of block, further increase the stability of data processing method work;Master machine can be according to the setting work of Work machine Amount is split to data processing task, is handled by multiple Work machines data processing task larger to data volume, Improve the data-handling efficiency of data processing task;Certainly be about to working condition feeds back to master machine to Work machine, further carries High acquisition speed of the master machine to the working condition of Work machine in Work machine group.
Illustrate the data processing method of the present invention and the specific works of data handling system below by a specific embodiment Principle.It refer to the system architecture diagram of the specific embodiment for the data handling system that Fig. 8 a and Fig. 8 b, Fig. 8 a are the present invention, Fig. 8 b The workflow diagram of the specific embodiment of data processing method and data handling system for the present invention.The number of this specific embodiment Include multiple main frames device 81, independent application program Coordination module 82 (Zookeeper), data processing task according to processing system 80 Database 83 (database) and the Work machine group 84 with multiple Work machines 841.At the data of this specific embodiment The flow that reason system 80 carries out data processing includes:
Step S801, Zookeeper determine the master machine 81 of a state of activation, and other master machines are arranged to inactive shape State.Master machine such as state of activation is in abnormality, then Zookeeper reaffirms from the master machine in unactivated state The master machine of one state of activation.
Step S802, the master machine of state of activation obtain nodal information (such as ip addresses and the port numbers of all working machine Deng);And send heartbeat detection instruction to all working machine by setting time interval.As Work machine instructs to the heartbeat detection Normal Feedback, then the Work machine is arranged in Work machine group;As Work machine to the heartbeat detection instruction exception feed back, Then the Work machine is rejected from Work machine group.
Step S803, the master machine of state of activation receive data processing request from data processing task database.
Step S804, the master machine of state of activation are split to data processing task corresponding to data processing request.
Step S805, the master machine of state of activation send the data processing task after segmentation to the work in idle condition Make machine, and the Work machine is switched into working condition.
Step S806, the master machine of state of activation press setting time interval, and whether inquiry Work machine completes data processing Task, or Work machine switch to idle condition after data processing task is finished, and idle to master machine distribution of machine Instruction.
So complete the data processing method of this specific embodiment and the flow chart of data processing of data handling system.
The data processing method and data handling system of the present invention has multiple Work machines by master machine control Work machine group, realize the processing of multi-thread task to improve data-handling efficiency, so as to it is rapid, accurately complete data processing Task.
Validation checking is carried out to all working machine in Work machine group using heartbeat detection instruction simultaneously, realized Being automatically added to for the automatic rejection of non-productive work machine and effective Work machine, is greatly saved manpower maintenance cost, carries The high validity of data processing.The data-handling efficiency for solving existing data processing method and data handling system is relatively low Technical problem.
" component ", " module ", " system ", " interface ", " process " etc. are usually intended to as used herein the term Refer to computer related entity:Hardware, the combination of hardware and software, software or executory software.For example, component can be but not It is limited to run process on a processor, processor, object, executable application, thread, program and/or the computer performed. By diagram, it can be component to run both application and controllers on the controller.One or more assemblies can have It is in process and/or the thread of execution, and component can be located on a computer and/or be distributed in two or more meters Between calculation machine.
Fig. 9 and the discussion below provide to realize data handling system of the present invention part where electronics set Brief, summary the description of standby working environment.Fig. 9 working environment be only an example of appropriate working environment and Be not intended to suggestion on working environment purposes or function scope any restrictions.Example electronic equipment 912 includes but unlimited In wearable device, helmet, medical treatment & health platform, personal computer, server computer, hand-held or on knee set Standby, mobile device (such as mobile phone, personal digital assistant (PDA), media player etc.), multicomputer system, consumption Type electronic equipment, minicom, mainframe computer including above-mentioned arbitrarily DCE of system or equipment, etc..
Although not requiring, in the common background that " computer-readable instruction " is performed by one or more electronic equipments Lower description embodiment.Computer-readable instruction can be distributed and (be discussed below) via computer-readable medium.It is computer-readable Instruction can be implemented as program module, for example performs particular task or realize the function of particular abstract data type, object, application DLL (API), data structure etc..Typically, the function of the computer-readable instruction can be in various environment arbitrarily Combination or distribution.
Fig. 9 illustrates the electronic equipment 912 of one or more of the data handling system including present invention embodiment Example.In one configuration, electronic equipment 912 includes at least one processing unit 916 and memory 918.According to electronic equipment Exact configuration and type, memory 918 can be volatibility (such as RAM), non-volatile (such as ROM, flash memory etc.) Or certain combination of the two.The configuration is illustrated by dotted line 914 in fig.9.
In other embodiments, electronic equipment 912 can include supplementary features and/or function.For example, equipment 912 may be used also So that including additional storage device (such as removable and/or non-removable), it includes but is not limited to magnetic memory apparatus, light is deposited Storage device etc..This additional memory devices are illustrated by storage device 920 in fig.9.In one embodiment, for realizing this The computer-readable instruction for one or more embodiments that text is provided can be in storage device 920.Storage device 920 may be used also To store other computer-readable instructions for being used for realizing operating system, application program etc..Computer-readable instruction can be loaded into Performed in memory 918 by such as processing unit 916.
Term as used herein " computer-readable medium " includes computer-readable storage medium.Computer-readable storage medium includes The volatibility realized for any method or technique of the information of storage such as computer-readable instruction or other data etc With non-volatile, removable and nonremovable medium.Memory 918 and storage device 920 are the examples of computer-readable storage medium. Computer-readable storage medium includes but is not limited to RAM, ROM, EEPROM, flash memory or other memory technologies, CD-ROM, digital universal Disk (DVD) or other light storage devices, cassette tape, tape, disk storage device or other magnetic storage apparatus can be used for Information and any other medium that can be accessed by electronic equipment 912 it is expected in storage.Any such computer-readable storage medium can To be a part for electronic equipment 912.
Electronic equipment 912 can also include the communication connection 926 for allowing electronic equipment 912 to be communicated with other equipment.Communication Connection 926 can include but is not limited to modem, NIC (NIC), integrated network interface, radiofrequency launcher/connect Receive device, infrared port, USB connections or other interfaces for electronic equipment 912 to be connected to other electronic equipments.Communication connection 926 can include wired connection or wireless connection.Communication connection 926 can launch and/or receive communication medium.
Term " computer-readable medium " can include communication media.Communication media typically comprises computer-readable instruction Or other data in " the own modulated data signal " of such as carrier wave or other transmission mechanisms etc, and passed including any information Send medium.Term " own modulated data signal " can include such signal:One or more of the characteristics of signals is according to general Information is encoded to the mode in signal to be set or changed.
Electronic equipment 912 can include input equipment 924, such as keyboard, mouse, pen, voice-input device, touch input Equipment, infrared camera, video input apparatus and/or any other input equipment.Output equipment can also be included in equipment 912 922, such as one or more displays, loudspeaker, printer and/or other any output equipments.Input equipment 924 and output Equipment 922 can be connected to electronic equipment 912 via wired connection, wireless connection or its any combination.In one embodiment, Input equipment or output equipment from another electronic equipment are used as the input equipment 924 or defeated of electronic equipment 912 Go out equipment 922.
The component of electronic equipment 912 can be connected by various interconnection (such as bus).Such interconnection can include outer Enclose component interconnection (PCI) (such as quick PCI), USB (USB), live wire (IEEE1394), optical bus structure etc. Deng.In another embodiment, the component of electronic equipment 912 can pass through network interconnection.For example, memory 918 can be by position Multiple physical memory cells arcs composition in different physical locations, by network interconnection.
It would be recognized by those skilled in the art that can be across network point for the storage device for storing computer-readable instruction Cloth.For example, it be able to can be stored via the electronic equipment 930 that network 928 accesses for realizing one provided by the present invention or more The computer-readable instruction of individual embodiment.Electronic equipment 912 can access electronic equipment 930 and downloading computer readable instruction It is part or all of for perform.Alternately, electronic equipment 912 can download a plurality of computer-readable instruction on demand, Or some instructions can be performed at electronic equipment 912 and some instructions can perform at electronic equipment 930.
There is provided herein the various operations of embodiment.In one embodiment, described one or more operations can be with structure The computer-readable instruction stored on into one or more computer-readable mediums, it will make to succeed in one's scheme when being performed by electronic equipment Calculate equipment and perform the operation.Describing the orders of some or all of operations, to should not be construed as to imply that these operations necessarily suitable Sequence correlation.It will be appreciated by those skilled in the art that the alternative sequence of the benefit with this specification.Furthermore, it is to be understood that Not all operation must exist in each embodiment provided in this article.
Moreover, although having shown and described the disclosure relative to one or more implementations, but this area skill Art personnel are based on the reading to the specification and drawings and understand it will be appreciated that equivalent variations and modification.The disclosure include it is all this The modifications and variations of sample, and be limited only by the scope of the following claims.In particular, to by said modules (such as element, Resource etc.) various functions that perform, the term for describing such component is intended to correspond to the specified work(for performing the component The random component (unless otherwise instructed) of energy (such as it is functionally of equal value), it is illustrated herein with execution in structure The disclosure exemplary implementations in function open structure it is not equivalent.In addition, although the special characteristic of the disclosure Through being disclosed relative to the only one in some implementations, but this feature can with such as can be to given or application-specific For be it is expected and other one or more combinations of features of other favourable implementations.Moreover, with regard to term " comprising ", " tool Have ", " containing " or its deformation be used in embodiment or claim for, such term be intended to with term The similar mode of "comprising" includes.
Each functional unit in the embodiment of the present invention can be integrated in a processing module or unit list Solely be physically present, can also two or more units be integrated in a module.Above-mentioned integrated module can both use The form of hardware is realized, can also be realized in the form of software function module.If the integrated module is with software function The form of module is realized and is used as independent production marketing or is situated between in use, a computer-readable storage can also be stored in In matter.Storage medium mentioned above can be read-only storage, disk or CD etc..Above-mentioned each device or system, can be with Perform the method in correlation method embodiment.
In summary, although the present invention is disclosed above with embodiment, the sequence number before embodiment only makes for convenience of description With not causing to limit to the order of various embodiments of the present invention.Also, above-described embodiment is simultaneously not used to the limitation present invention, this area Those of ordinary skill, without departing from the spirit and scope of the present invention, can make it is various change and retouching, therefore the present invention Protection domain is defined by the scope that claim defines.

Claims (15)

1. a kind of data processing method, data processing operation is carried out for data handling system, wherein the data handling system Including at least one master machine and a Work machine group, the Work machine group includes at least one Work machine, its feature It is, the data processing method includes:
The master machine receives data processing request;
The master machine judges whether the Work machine in the Work machine group is in idle condition;And
Function as described machine and be in idle condition, then send data processing task corresponding to the data processing request to institute Work machine is stated, and the Work machine is switched into working condition;
Wherein described master machine presses setting time interval, and heartbeat detection instruction is sent to all working machine;And according to the work The instruction feedback for making machine determines Work machine in the Work machine group.
2. data processing method according to claim 1, it is characterised in that the instruction feedback according to Work machine is true The step of determining the Work machine in the Work machine group includes:
Function as described machine and Normal Feedback is instructed to the heartbeat detection, then the Work machine is arranged on the working machine In device group;
Function as described machine to feed back the heartbeat detection instruction exception, then judge whether the Work machine is in the work Make in machine group;
In the Work machine group as described in, then the Work machine is rejected from the Work machine group.
3. data processing method according to claim 1, it is characterised in that the data handling system includes multiple main frames Device and the application program Coordination module being connected with All hosts device;
The data processing method also includes:
The application program Coordination module determines that a master machine in multiple main frames device is active, in multiple main frames device Other master machines be in unactivated state.
4. data processing method according to claim 3, it is characterised in that the application program Coordination module determines multiple A step of master machine in master machine is active, and other master machines in multiple main frames device are in unactivated state Including:
Such as all master machines are in unactivated state, then application program Coordination module specifies a master machine to switch to activation shape State.
5. data processing method according to claim 1, it is characterised in that the data handling system also includes being used to deposit Store up the data processing task database of the data processing request and corresponding data;
The master machine receives data processing request from the data processing task database.
6. data processing method according to claim 5, it is characterised in that described by corresponding to the data processing request Data processing task, which was sent to the step of Work machine, to be included:
The master machine is by data processing task corresponding to the data processing request, by the setting workload of the Work machine Split;And
The master machine sends the data processing task after segmentation to corresponding Work machine.
7. data processing method according to claim 1, it is characterised in that the data processing method also includes:
The master machine receives the machine idle instruction of the Work machine, wherein machine idle instruction is by the working machine Device is finished in data processing task, is generated when switching to idle condition.
8. a kind of data handling system, for carrying out data processing operation, it is characterised in that including master machine and a working machine Device group, Work machine group include at least one Work machine;
Wherein described master machine includes:
Data processing request receiving module, for receiving data processing request;
Work machine condition judgment module, for judging whether the Work machine in the Work machine group is in idle condition;
Data processing task sending module, for data processing task corresponding to the data processing request to be sent to the work Make machine, and the Work machine is switched into working condition;
Heartbeat detection instruction sending module, for by setting time interval, heartbeat detection instruction to be sent to all working machine;With And
Work machine group determining module, for determining the work in the Work machine group according to the instruction feedback of the Work machine Make machine.
9. data handling system according to claim 8, it is characterised in that the Work machine group determining module includes:
First setting unit, Normal Feedback is instructed to the heartbeat detection for functioning as described machine, then by the working machine Device is arranged in the Work machine group;And
Second setting unit, the heartbeat detection instruction exception is fed back for functioning as described machine, and the Work machine In Work machine group, then the Work machine is rejected from the Work machine group.
10. data handling system according to claim 8, it is characterised in that the data handling system also includes multiple Master machine and the application program Coordination module being connected with All hosts device;
The application program Coordination module is used to determine that a master machine in multiple main frames device is active, multiple main frames Other master machines in device are in unactivated state.
11. data handling system according to claim 10, it is characterised in that the application program Coordination module is additionally operable to Such as all master machines are in unactivated state, then formulate a master machine and switch to state of activation.
12. data handling system according to claim 8, it is characterised in that the data handling system also includes being used for Store the data processing task database of the data processing request and corresponding data;
The data processing request receiving module is used to receive data processing request from the data processing task database.
13. data handling system according to claim 12, it is characterised in that the data processing task sending module bag Include:
Data processing task cutting unit, for by data processing task corresponding to the data processing request, by the work The setting workload of machine is split;And
Data processing task transmitting element, for the data processing task after segmentation to be sent to corresponding Work machine.
14. data handling system according to claim 8, it is characterised in that the master machine also includes:
Machine idle command reception module, the machine idle for receiving the Work machine instructs, wherein the machine idle Instruction is finished by the Work machine in data processing task, is generated when switching to idle condition.
15. a kind of storage medium, processor-executable instruction is stored with, the instruction is by one or more processors Loading, to perform such as data processing method any in claim 1-7.
CN201711066268.5A 2017-11-02 2017-11-02 Data processing method, data handling system and storage medium Pending CN107807608A (en)

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Application publication date: 20180316