CN108920272A - A kind of data processing method, device, computer equipment and storage medium - Google Patents
A kind of data processing method, device, computer equipment and storage medium Download PDFInfo
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- 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
The invention discloses a kind of data processing method, device, computer equipment and storage medium, the method includes：Receive the declaration form traffic table that client is sent,Data fragmentation is carried out to the declaration form traffic table using preset sharding method,Obtain P target service table,Each node server is detected,Obtain destination node server,And the state score of each destination node server is calculated according to use state,Obtain the task allocation proportion of each destination node server,And P target service table is distributed in proportion in destination node server and is stored,And establish identification information,Target service table,And the mapping relations between destination node server,So that the data in declaration form traffic table are in the way of load balancing of having the right,It is assigned in each destination node server and is stored,Guarantee that the data volume of each destination node server storage is within server handling ability,Be conducive to improve the treatment effeciency and Treatment Stability of declaration form traffic table.
Description
Technical field
The present invention relates to field of computer technology more particularly to a kind of data processing method, device, computer equipment and deposit
Storage media.
Background technique
With the development and the improvement of people's living standards of society, more and more people begin to focus on various insurance businesses,
The service surface that the declaration form business of insurance field is related to is wider, records more and more, declaration form business with inside declaration form traffic table
Data volume in table becomes abnormal huge.
If database purchase has mass data, when carrying out data processing task, database can face very big pressure, this
So that needing to take a significant amount of time, and be easy to cause system crash in the storage and processing to declaration form traffic table, guarantor is caused
The low problem low with stability of single traffic table treatment effeciency, this wants basic calculation frame storage system in scale and system
Ask etc. proposes higher challenge.
For this problem, current Main is to carry out depositing for declaration form traffic table using the extending transversely of database
Storage, but database also has the bottleneck of oneself when extension, and performance boost extending transversely itself is no more than 10% or so, to solution
Certainly declaration form traffic table is due to the data volume problem that treatment effeciency is low, stability is low caused greatly, and the effect is unsatisfactory.
Summary of the invention
Based on this, it is necessary in view of the above technical problems, provide one kind be conducive to improve declaration form traffic table treatment effeciency and
Data processing method, device, computer equipment and the storage medium of Treatment Stability.
A kind of data processing method, including：
Receive the declaration form traffic table that client is sent, wherein the declaration form traffic table includes a plurality of data record and every
The identification information of the data record；
Data fragmentation is carried out to the data record in the declaration form traffic table using preset sharding method, obtains P
A target service table, wherein P is positive integer；
Each node server in node server set is detected using preset detection mechanism, obtains node
The state of server, and the node server that the state is activation is determined as destination node server；
For each destination node server, the use state of the destination node server is obtained, and according to described
Use state calculates the state score of the destination node server；
The task allocation proportion of each destination node server is calculated according to the state score；
According to the task allocation proportion, the P target service tables are distributed in the destination node server and are deposited
Storage；
Establish the mapping relations between the identification information, the target service table and the destination node server.
A kind of data processing equipment, including：
Data reception module, for receiving the declaration form traffic table of client transmission, wherein the declaration form traffic table includes more
The identification information of data record and every data record；
Data fragmentation module, for use preset sharding method to the data record in the declaration form traffic table into
Row data fragmentation obtains P target service table, wherein P is positive integer；
Node detecting module, for using preset detection mechanism to each node server in node server set
It is detected, obtains the state of node server, and the node server that the state is activation is determined as destination node clothes
Business device；
Score value computing module obtains making for the destination node server for being directed to each destination node server
With state, and calculate according to the use state state score of the destination node server；
Ratio-dependent module, the task for calculating each destination node server according to the state score are distributed
Ratio；
Data allocation module, for according to the task allocation proportion, the P target service tables to be distributed to the mesh
It is stored in mark node server；
Module is established in mapping, for establishing the identification information, the target service table and the destination node service
Mapping relations between device.
A kind of computer equipment, including memory, processor and storage are in the memory and can be in the processing
The computer program run on device, the processor realize the step of above-mentioned data processing method when executing the computer program
Suddenly.
A kind of computer readable storage medium, the computer-readable recording medium storage have computer program, the meter
The step of calculation machine program realizes above-mentioned data processing method when being executed by processor.
Above-mentioned data processing method, device, computer equipment and storage medium receive the declaration form business that client is sent
Table carries out data fragmentation to the declaration form traffic table using preset sharding method, P target service table is obtained, using explorer
System detects each node server in node server set, the state of obtained node server, and obtains shape
State is the node server of activation as destination node server, for each destination node server, according to the destination node
The use state of server calculates state score, and obtains the task distribution ratio of the destination node server according to state score
Example, and then according to task allocation proportion, P target service table is distributed in these destination node servers and is stored, and is based on
Data Identification establishes the mapping relations between declaration form traffic table, target service table and destination node server, so that declaration form business
Data in table are assigned in each destination node server and are stored in the way of load balancing of having the right, and guarantee each
The data volume of destination node server storage is within server handling ability, is conducive to the processing effect for improving declaration form traffic table
Rate and Treatment Stability.
Detailed description of the invention
In order to illustrate the technical solution of the embodiments of the present invention more clearly, below by institute in the description to the embodiment of the present invention
Attached drawing to be used is needed to be briefly described, it should be apparent that, the accompanying drawings in the following description is only some implementations of the invention
Example, for those of ordinary skill in the art, without any creative labor, can also be according to these attached drawings
Obtain other attached drawings.
Fig. 1 is the application environment schematic diagram of data processing method provided in an embodiment of the present invention；
Fig. 2 is the implementation flow chart of data processing method provided in an embodiment of the present invention；
Fig. 3 is the implementation flow chart of step S2 in data processing method provided in an embodiment of the present invention；
Fig. 4 is the implementation flow chart of step S4 in data processing method provided in an embodiment of the present invention；
Fig. 5 is the implementation flow chart that mapping relations update in data processing method provided in an embodiment of the present invention；
Fig. 6 is to be handled to obtain implementing result to declaration form traffic table in data processing method provided in an embodiment of the present invention
Implementation flow chart；
Fig. 7 is the schematic diagram of data processing equipment provided in an embodiment of the present invention；
Fig. 8 is the schematic diagram of computer equipment provided in an embodiment of the present invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are some of the embodiments of the present invention, instead of all the embodiments.Based on this hair
Embodiment in bright, every other implementation obtained by those of ordinary skill in the art without making creative efforts
Example, shall fall within the protection scope of the present invention.
Referring to Fig. 1, Fig. 1 shows the application environment of data processing method provided in an embodiment of the present invention.The data processing
Method is applied in the data processing scene of the declaration form traffic table of insurance field.The data processing scene includes center service
Device, node server and client, wherein between central server and node server, between central server and client
It is attached by network, user sends declaration form traffic table to central server by client, and central server is by declaration form
Traffic table is divided into multiple target service tables, and multiple target service tables are distributed to node server, and node server receives simultaneously
Target service table is stored, client specifically can be, but not limited to be mobile phone, tablet computer, personal computer
Intelligent terminals such as (PersonalComputer, PC), central server and node serve implement body can use independent clothes
The server cluster of business device or multiple servers composition is realized.
Referring to Fig. 2, being applied in this way Fig. 2 shows a kind of data processing method provided in an embodiment of the present invention in Fig. 1
In central server for be illustrated, details are as follows：
S1：Receive the declaration form traffic table that client is sent, wherein declaration form traffic table includes a plurality of data record and every number
According to the identification information of record.
Specifically, central server receives client by the network transmission protocol and sends declaration form traffic table.
Wherein, declaration form traffic table is a kind of traffic table for insurance field comprising a plurality of data record and every number
According to the identification information of record, the data record of declaration form traffic table is more, and can increase with the time, is continuously increased data record.
Declaration form traffic table can be needed according to actual business to formulate, for example, the data record that certain declaration form traffic table includes is：Data
Mark, insurer's title, insured amount, insurance period and status etc..
Wherein, the network transmission protocol includes but is not limited to：Internet Control Message agreement (Internet Control
Message Protocol, ICMP), address resolution protocol (ARP Address Resolution Protocol, ARP) and text
Part transport protocol (File Transfer Protocol, FTP) etc..
S2：Data fragmentation is carried out to the data record in declaration form traffic table using preset sharding method, obtains P target
Traffic table, wherein P is positive integer.
Specifically, data fragmentation is carried out to the data record in declaration form traffic table by preset sharding method, will protected
Single traffic table splits into P target service table, and the data record in each target service table has certain relevance, is conducive to
The optimization of follow-up data record storage and the raising of follow-up data treatment effeciency.
Wherein, preset sharding method can be by, come fragment, be also possible to according to dimension using modulus algorithm come into
Row fragment can also be the function of the partition table provided according to database to carry out fragment, and specific sharding method can be according to reality
The needs of border application are configured, and are not particularly limited herein.
Preferably, preset sliced fashion used in the embodiment of the present invention is by dimension fragment and partition table sliced fashion
In conjunction with.
S3：Each node server in node server set is detected using preset detection mechanism, is obtained
The state of node server, and the node server that state is activation is determined as destination node server.
Specifically, by preset detection mechanism, each node server in node server set is detected,
It finds state and is the node server of activation, and the node server is determined as destination node server.
Wherein, preset detection mechanism refers to tasting to each node server progress availability using probe timing
Examination, specific embodiment, which can be, sends ping curl order to each node server by central server, such as
The result that fruit returns is normal, then illustrates that the node server state illustrates the node server if returning to exception for activation
State is delay machine.
S4：For each destination node server, the use state of the destination node server is obtained, and according to using shape
State calculates the state score of the destination node server.
Specifically, each destination node server due to its own hardware configuration it is different, operation conditions is different, meeting
Cause its performance to have differences, therefore, before target service table is distributed to destination node server, needs first according to target
The use state of node server determines the state score of the destination node server, and then determine the data record of distribution
Quantity.
Wherein, some parameter informations when use state refers to the operation of destination node server, these parameters include but not
It is limited to：Central processing unit model, memory model and disk space parameter etc..
Wherein, referred to according to the state score that use state calculates the destination node server through currently used state institute
The respective weights of the various parameters and pre-set various parameters that are related to obtain the state point of destination node server
Value.
S5：The task allocation proportion of each destination node server is calculated according to state score.
Specifically, after the state score for calculating each destination node server, by the shape of all destination node servers
State score value adds up, and obtains the sum of all destination node server state score values, and then be directed to each destination node server,
The state score of the destination node server and the ratio of the sum of all destination node server state score values are calculated, as the mesh
Mark the task allocation proportion of node server.
For example, in a specific embodiment, there are two destination node servers, respectively first object node serve
Device and the second destination node server, the state score of first object node server are 3, the shape of the second destination node server
State score value is 7, and according to foregoing description, the task allocation proportion that first object node server is calculated is 30%, the first mesh
The task allocation proportion for marking node server is 70%.
S6：According to task allocation proportion, P target service table is distributed in destination node server and is stored.
Specifically, according to task allocation proportion obtained in step S5, the data record in P target service table is distributed
To destination node server, each destination node server stores the data record after receiving the data record.
It is worth noting that lower target service table of ordinary circumstance is stored in a destination node server, if mesh
It is more to mark data record in traffic table, when can not directly distribute according to task allocation proportion, by the data in the target service table
Record, which is distributed in two or more destination node servers, to be stored.
S7：Establish the mapping relations between identification information, target service table and destination node server.
Specifically, target service table is being distributed in destination node server after storage, central server establishes mark
Know the mapping relations between information, target service table and destination node server, when so as to subsequent progress data processing, energy
The destination node server being quickly found out where the corresponding identification information of data record.
For example, in a specific embodiment, please referring to table one, table one shows identification information, target service table, and
Mapping relations between destination node server, wherein declaration form number is the identification information of data record.
Table one
| Declaration form number | Target service table | Destination node server |
| 1-40000 | First object traffic table | First object node server |
| 40001-60000 | Second target service table | First object node server |
| 60001-80000 | Third target service table | Second destination node server |
| 80001-110000 | 4th target service table | Second destination node server |
| 110001-160000 | 5th target service table | Third destination node server |
| 160001-180000 | 5th target service table | 4th destination node server |
In the present embodiment, the declaration form traffic table that client is sent is received, using preset sharding method to the declaration form industry
Business table carries out data fragmentation, obtains P target service table, is taken using detection mechanism to each node in node server set
Business device detected, the state of obtained node server, and obtain state be activate node server as destination node
Server calculates state score, and root according to the use state of the destination node server for each destination node server
The task allocation proportion of the destination node server is obtained according to state score, and then according to task allocation proportion, by P target industry
Business table is distributed in these destination node servers and stores, and be based on Data Identification, establish declaration form traffic table, target service table with
Mapping relations between destination node server, so that the data in declaration form traffic table in the way of load balancing of having the right, are divided
It is fitted in each destination node server and is stored, guarantee that the data volume of each destination node server storage is in server
Within processing capacity, be conducive to the treatment effeciency and Treatment Stability that improve declaration form traffic table.
In one embodiment, as shown in figure 3, in step S2, i.e., using preset sharding method in declaration form traffic table
Data record carries out data fragmentation, obtains P target service table, specifically comprises the following steps：
S21：Fragment is carried out to the data in declaration form traffic table according to preset dimension, generates interim fragment table.
Specifically, fragment is carried out to the data in declaration form traffic table according to preset dimension fragment, it will be in same range
Relevant data record is assigned to together, and interim fragment table is generated.
Wherein, preset dimension can be according to time dimension, be also possible to region dimension, specifically can be according to practical feelings
Condition is configured, and is not particularly limited herein.
S22：Using preset partition table generating mode, fragment is carried out to each interim fragment table, obtains P target service
Table.
Specifically, the subregion table function carried by using database carries out fragment to each interim fragment table, obtains P
Target service table.
Wherein, preset partition table generating mode refers to the function of establishing partition table of carrying using oracle database,
Oracle database provides powerful subregion table function, in oracle database, if a table is set up as partition table,
Logically or a complete table, only the data record in table is stored among multiple table spaces physically.
It is worth noting that interim fragment table is obtained by preset dimension in step S21, in these interim fragment tables
Data record dimensional properties having the same, such as carry out by region dimension the data record in the interim fragment table that fragment obtains
For the data of same region, this sharding method makes the interim fragment table in part there is a situation where that data record is more, for needle
The relevance in table between data record both ensure that by way of establishing partition table to interim fragment table to such case,
The interim fragment table that data record is more, data volume is big is made to be divided into multiple target service tables again.
In the present embodiment, fragment is carried out to the data in declaration form traffic table according to preset dimension, generates interim fragment
Table, and preset partition table generating mode is used, fragment is carried out to each interim fragment table, obtains P target service table, so that
Declaration form traffic table comprising mass data record is split into multiple target service tables, and the data note in each target service table
Record has certain relevance, is conducive to the raising of the storage optimization and follow-up data treatment effeciency of follow-up data record.
In one embodiment, as shown in figure 4, in step S4, that is, it is directed to each destination node server, obtains the target section
The use state of point server, and the state score of the destination node server is calculated according to use state, it specifically includes as follows
Step：
S41：For each destination node server, the central processing unit model Q of the destination node server is obtained1, magnetic
Disk space parameter Q2With memory model Q3。
Specifically, the use state of each destination node server is not quite similar, i.e., different destination node servers
Hardware configuration is different, wherein hardware configuration includes but is not limited to：Central processing unit model and memory model etc., current
Disk space size is also different, and the use state of destination node server determines the storage of its data and processing capacity, because
This needs first to obtain the use state of the destination node server for each destination node server, i.e. the destination server
Central processing unit model, disk space parameter and memory model.
S42：The corresponding state score S of each destination node server is calculated according to following formula：
S=J1+Q2×J2+J3
Wherein, J1For central processing unit model Q1Corresponding preset weights, J2For the corresponding default power of disk space parameter
Value, J3For memory model Q3Corresponding preset weights.
Specifically, for the central processing unit of different model, disk space parameter and memory model, it is respectively right to preset respectively
The weight answered uses formula S=J after the use state for getting destination node server1+Q2×J2+J3Calculate target section
The state score of point server.
For example, in a specific embodiment, in node server set, the model of central processing unit includes：E3-
1231v3, E5-2620v4 and E5-2680v2, corresponding preset weights are：0.1,0.3 and 0.6, memory model includes：
KVR24N17D8/8-SP and KVR26N19S8/8, corresponding preset weights are 0.4 and 0.6, the preset threshold of disk space parameter
It is 0.5, gets the model E5-2620v4 of the central processing unit of some destination node server, disk space parameter is 0.8
Terabyte (Terabyte, TB), memory model KVR24N17D8/8-SP, the state score of the destination node server are：S
=0.3+0.8 × 0.5+0.4=1.1.
In the present embodiment, for each destination node server, the use state of the destination node server is obtained, is made
Include but is not limited to state：Central processing unit model, disk space parameter and memory model etc., and then according to use state meter
The state score of the destination node server is calculated, so that each destination node server obtains corresponding according to its use state
State score, an important measurement index of the state score as subsequent load balancing of having the right, is conducive to central server root
According to the use state of destination node server, the declaration form traffic table data within the destination node server handling ability are obtained
Amount, and then the distribution of task is carried out to it, it ensure that the stability in data handling procedure.
In one embodiment, central server detects destination node server, in time to the destination node of delay machine
The data record stored on server is shifted, as shown in figure 5, after step s 7, the data processing method further include as
Lower step：
S81：Destination node server is detected using detection mechanism, obtains the state of destination node server.
Specifically, the mapping relations established between identification information, target service table and destination node server it
Afterwards, destination node server is detected by the explorer formulation phase, obtains the state of destination node server, alternatively,
When receiving processing request of the client to declaration form traffic table, detection mechanism is activated to detect destination node server,
Obtain the state of destination node server.
S82：If the state of destination node server obtains the destination node server according to mapping relations for delay machine
Corresponding target service table.
Specifically, when step S81 monitors that the state of destination node server is delay machine, pass through identification information, target
It is corresponding to obtain the destination node server that the state is delay machine for mapping relations between traffic table and destination node server
Target service table.
S83：By state be delay machine the corresponding target service table of destination node server by way of load balancing, point
It is dealt into other destination node servers in node server set.
It specifically, is the destination node of delay machine by state according to step S3 to the method for the step S6 load balancing described
The corresponding target service table of server is distributed in other destination node servers in node server set, avoids carrying out
When data processing, due to partial target node server delay machine and cause partial data to be lost, guarantee declaration form traffic table in
Data record is effectively stored, and the stability for improving data processing is conducive to.
S84：The destination node server that state is delay machine is removed from node server set.
Specifically, central server and node server set have been built into a distributed type assemblies, are collected by distribution
The reliable coordination system of group removes the destination node server that state is delay machine.
Wherein, reliable coordination system specifically can be ZooKeeper system, and ZooKeeper is one distributed, open
The distributed application program coordination service of source code, it provides Consistency service for Distributed Application, and the function of providing includes：Configuration
Maintenance, domain name service, distributed synchronization, group service etc..When receiving event information, for example, connection time-out, node data change,
Child node changes, and corresponding behavior can be called to handle event.
S85：Update the mapping relations between identification information, target service table and destination node server.
Specifically, in mapping relations, the state in step S82 that finds is the destination node server of delay machine, and deleting should
State is the corresponding relationship between the destination node server and identification information, target service table of delay machine, and then according to step S83
Described in corresponding relationship between the target service table that increases newly in destination node server, with the destination node server, it is right
Mapping relations between identification information, target service table and destination node server are updated.
In the present embodiment, destination node server is detected using detection mechanism, obtains destination node server
State, and then by state be delay machine the corresponding target matrix of destination node server be re-distributed to node server collection
In other destination node servers in conjunction, and update between identification information, target service table and destination node server
Mapping relations make, since the delay machine of destination node server causes partial data to be lost, to be conducive to mention when carrying out data processing
The stability of high data processing.
In one embodiment, central server driving destination node server executes the process instruction of declaration form traffic table, and
The result of return is summarized to obtain final implementing result, as shown in fig. 6, after step s 7, the data processing method
It further include following steps：
S91：If receive client transmission for declaration form traffic table processing request, obtain processing request in include
Target data mark and target data identify corresponding process instruction.
Specifically, client and central server are based on transmission control protocol (Transmission Control
Protocol, TCP) network communication is carried out, when the processing for declaration form traffic table for monitoring that client is sent is requested, obtain
The identification information for the data record for including in processing request, identifies as target data, and obtains target data mark and correspond to
Process instruction.
Wherein, TCP provides a kind of connection-oriented, reliable byte stream service.Mean that two use TCP towards connection
Application (client and central server) TCP connection must be first established before packet exchanging data with one another.In a TCP
In connection, only two sides communicate with one another.
It should be understood that can have different process instructions for different target data marks, the processing that client is sent is asked
In asking, it may include multiple target data marks and each target data identify corresponding process instruction.
For example, in a specific embodiment, the identification information for the data record for including in the processing request got is
Number 50001 identifies, the corresponding process instruction got is to number 100000 using these identification informations as target data
The record of insuring for obtaining and increasing newly in corresponding data record in this month is identified in target data.
S92：According to mapping relations, obtains target data and identify corresponding destination node server, taken as data processing
Business device.
Specifically, it according to the mapping relations between identification information, target service table and destination node server, obtains
It is stored with the destination node server of target data identification information, and using the destination node server as data processing service
Device.
It is worth noting that target data, which identifies corresponding destination node server, can be one, be also possible to it is multiple,
Specific number determines according to the actual situation.
By taking the target data mark obtained in step S91 as an example, according to mapping relations, number 50001 is obtained to number
60000 target data identifies corresponding data record and is stored in first object node server, obtains number 60001 to number
100000 target data identifies corresponding data record and is stored in the second destination node server, by first object node serve
Device is as the first data processing server, using the second destination node server as the second data processing server.
S93：Process instruction is sent to data processing server.
Specifically, the process instruction got in step S91 is sent to corresponding data processing service by central server
Device, processing server executes the process instruction after receiving process instruction, and obtains implementing result.
By taking the first data processing server and the second data processing server in step S92 as an example, central server to
The two processing servers are sent in target data and identify the record of insuring for obtaining that this month increases newly in corresponding data record
Instruction, the first data processing server is after receiving the instruction, from the number 50001 of storage to the number of targets of number 60000
According to the record of insuring for obtaining and increasing newly in corresponding data record in this month is identified, amount to 300, the second data processing server exists
After receiving the instruction, identifies in corresponding data record and obtain from the target data of number 60001 to the number 100000 of storage
The record of insuring that this month is newly-increased is taken, amounts to 1100.
S94：If receiving the implementing result of data processing server return, according to mapping relations, by implementing result into
Row merges, and obtains objective result.
Specifically, when receiving the implementing result that one or more processing servers return, all implementing results are pressed
It according to mapping relations, merges, obtains final objective result.
By taking the implementing result that the first data processing server in step S93 and the second data processing server obtain as an example,
1100 that the 300 datas record that first data processing server sends over is sended over the second data processing server
Data record is summarized, and this 1400 data is recorded and is ranked up according to the identification information of data record, will be sorted
Data record afterwards is as final objective result.
S95：Objective result is sent to client.
Specifically, the obtained objective result of step S94 is sent to client.
In the present embodiment, when the processing for declaration form traffic table for receiving client transmission is requested, acquisition processing
The target data mark and target data for including in request identify corresponding process instruction, and according to mapping relations, obtain target
The corresponding destination node server of Data Identification, is sent to data processing as data processing server, and then by process instruction
Server is handled, and when receiving the implementing result of data processing server return, implementing result is merged, is obtained
Objective result, and objective result is sent to client so that when needing to carry out data processing to declaration form traffic table, pass through by
The identification information of data record to be treated and corresponding process instruction are sent to corresponding destination node server and execute,
The plenty of time has been saved, the efficiency of data processing is improved.
It should be understood that the size of the serial number of each step is not meant that the order of the execution order in above-described embodiment, each process
Execution sequence should be determined by its function and internal logic, the implementation process without coping with the embodiment of the present invention constitutes any limit
It is fixed.
In one embodiment, a kind of data processing equipment is provided, in the data processing equipment and above-described embodiment at data
Reason method corresponds.As shown in fig. 7, the data processing equipment includes data reception module 10, data fragmentation module 20, node
Module 70 is established in detecting module 30, score value computing module 40, ratio-dependent module 50, data allocation module 60 and mapping.Each function
Detailed description are as follows for energy module：
Data reception module 10, for receiving the declaration form traffic table of client transmission, wherein declaration form traffic table includes a plurality of
The identification information of data record and every data record；
Data fragmentation module 20, for using preset sharding method to carry out data to the data record in declaration form traffic table
Fragment obtains P target service table, wherein P is positive integer；
Node detecting module 30, for using preset detection mechanism to each node serve in node server set
Device is detected, and obtains the state of node server, and the node server that state is activation is determined as destination node service
Device；
Score value computing module 40 obtains the use of the destination node server for being directed to each destination node server
State, and calculate according to use state the state score of the destination node server；
Ratio-dependent module 50, for calculating the task allocation proportion of each destination node server according to state score；
Data allocation module 60, for according to task allocation proportion, P target service table to be distributed to destination node service
It is stored in device；
Module 70 is established in mapping, for establishing reflecting between identification information, target service table and destination node server
Penetrate relationship.
Further, data fragmentation module 20 includes：
Fragment table generation unit 21 is generated for carrying out fragment to the data in declaration form traffic table according to preset dimension
Interim fragment table；
Traffic table acquiring unit 22 divides each interim fragment table for using preset partition table generating mode
Piece obtains P target service table.
Further, score value computing module 40 includes：
Parameter acquiring unit 41 obtains the center of the destination node server for being directed to each destination node server
Processor model Q1, disk space parameter Q2With memory model Q3；
Score value computing unit 42, for calculating the corresponding state score S of each destination node server according to following formula：
S=J1+Q2×J2+J3
Wherein, J1For central processing unit model Q1Corresponding preset weights, J2For the corresponding default power of disk space parameter
Value, J3For memory model Q3Corresponding preset weights.
Further, which further includes：
State detection module 81 obtains destination node for detecting using detection mechanism to destination node server
The state of server；
Delay machine processing module 82, if the state for destination node server is delay machine, according to mapping relations, obtaining should
The corresponding target service table of destination node server；
Data migration module 83, it is negative for passing through the corresponding target service table of destination node server that state is delay machine
Balanced mode is carried, is distributed in other destination node servers in node server set；
Node remove module 84, for removing the destination node server that state is delay machine from node server set；
Map updating module 85, for updating reflecting between identification information, target service table and destination node server
Penetrate relationship.
Further, which further includes：
Request module 91 obtains if the processing for declaration form traffic table for receiving client transmission is requested
The target data mark for including in processing request and target data is taken to identify corresponding process instruction；
Node selection module 92, for obtaining target data and identifying corresponding destination node server according to mapping relations,
As data processing server；
Instruction sending module 93, for process instruction to be sent to data processing server；
As a result it is closed if the implementing result for receiving data processing server return according to mapping determining module 94
System, implementing result is merged, objective result is obtained；
As a result sending module 95, for objective result to be sent to client.
Specific about data processing equipment limits the restriction that may refer to above for data processing method, herein not
It repeats again.Modules in above-mentioned data processing equipment can be realized fully or partially through software, hardware and combinations thereof.On
Stating each module can be embedded in the form of hardware or independently of in the processor in computer equipment, can also store in a software form
In memory in computer equipment, the corresponding operation of the above modules is executed in order to which processor calls.
In one embodiment, a kind of computer equipment is provided, which can be server, internal junction
Composition can be as shown in Figure 8.The computer equipment include by system bus connect processor, memory, network interface and
Database.Wherein, the processor of the computer equipment is for providing calculating and control ability.The memory packet of the computer equipment
Include non-volatile memory medium, built-in storage.The non-volatile memory medium is stored with operating system, computer program and data
Library.The built-in storage provides environment for the operation of operating system and computer program in non-volatile memory medium.The calculating
The database of machine equipment is for storing declaration form traffic table and mapping relations.The network interface of the computer equipment is used for and outside
Terminal passes through network connection communication.To realize a kind of data processing method when the computer program is executed by processor.
In one embodiment, a kind of computer equipment is provided, including memory, processor and storage are on a memory
And the computer program that can be run on a processor, processor realize above-described embodiment data processing side when executing computer program
The step of method, such as step S1 shown in Fig. 2 to step S7.Alternatively, processor realizes above-mentioned implementation when executing computer program
The function of each module/unit of example data processing equipment, such as module shown in Fig. 7 10 is to module 70.To avoid repeating, here
It repeats no more.
In one embodiment, a kind of computer readable storage medium is provided, computer program is stored thereon with, is calculated
Machine program realizes the step of above-described embodiment data processing method when being executed by processor, alternatively, computer program is by processor
The function of each module/unit of above-described embodiment data processing equipment is realized when execution, to avoid repeating, which is not described herein again.
Those of ordinary skill in the art will appreciate that realizing all or part of the process in above-described embodiment method, being can be with
Relevant hardware is instructed to complete by computer program, the computer program can be stored in a non-volatile computer
In read/write memory medium, the computer program is when being executed, it may include such as the process of the embodiment of above-mentioned each method.Wherein,
To any reference of memory, storage, database or other media used in each embodiment provided by the present invention,
Including non-volatile and/or volatile memory.Nonvolatile memory may include read-only memory (ROM), programming ROM
(PROM), electrically programmable ROM (EPROM), electrically erasable ROM (EEPROM) or flash memory.Volatile memory may include
Random access memory (RAM) or external cache.By way of illustration and not limitation, RAM is available in many forms,
Such as static state RAM (SRAM), dynamic ram (DRAM), synchronous dram (SDRAM), double data rate sdram (DDRSDRAM), enhancing
Type SDRAM (ESDRAM), synchronization link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM
(RDRAM), direct memory bus dynamic ram (DRDRAM) and memory bus dynamic ram (RDRAM) etc..
It is apparent to those skilled in the art that for convenience of description and succinctly, only with above-mentioned each function
Can unit, module division progress for example, in practical application, can according to need and by above-mentioned function distribution by different
Functional unit, module are completed, i.e., the internal structure of described device is divided into different functional unit or module, more than completing
The all or part of function of description.
Embodiment described above is merely illustrative of the technical solution of the present invention, rather than its limitations；Although referring to aforementioned reality
Applying example, invention is explained in detail, those skilled in the art should understand that：It still can be to aforementioned each
Technical solution documented by embodiment is modified or equivalent replacement of some of the technical features；And these are modified
Or replacement, the spirit and scope for technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution should all
It is included within protection scope of the present invention.
Claims (10)
1. a kind of data processing method, which is characterized in that the data processing method includes：
Receive the declaration form traffic table that client is sent, wherein the declaration form traffic table includes described in a plurality of data record and every
The identification information of data record；
Data fragmentation is carried out to the data record in the declaration form traffic table using preset sharding method, obtains P mesh
Mark traffic table, wherein P is positive integer；
Each node server in node server set is detected using preset detection mechanism, obtains node serve
The state of device, and the node server that the state is activation is determined as destination node server；
For each destination node server, the use state of the destination node server is obtained, and according to the use
The state score of the state computation destination node server；
The task allocation proportion of each destination node server is calculated according to the state score；
According to the task allocation proportion, the P target service tables are distributed in the destination node server and are stored；
Establish the mapping relations between the identification information, the target service table and the destination node server.
2. data processing method as described in claim 1, which is characterized in that described to use preset sharding method to the guarantor
Single traffic table carries out data fragmentation, and obtaining P target service table includes：
Fragment is carried out to the data in the declaration form traffic table according to preset dimension, generates interim fragment table；
Using preset partition table generating mode, fragment is carried out to each interim fragment table, obtains the P target services
Table.
3. data processing method as described in claim 1, which is characterized in that described to be directed to each destination node service
Device obtains the use state of the destination node server, and the shape of the destination node server is calculated according to the use state
State score value includes：
For each destination node server, the central processing unit model Q of the destination node server is obtained1, disk space parameter
Q2With memory model Q3；
The corresponding state score S of each destination node server is calculated according to following formula：
S=J1+Q2×J2+J3
Wherein, J1For the central processing unit model Q1Corresponding preset weights, J2It is corresponding default for the disk space parameter
Weight, J3For the memory model Q3Corresponding preset weights.
4. data processing method as described in claim 1, which is characterized in that establish the identification information, the mesh described
After marking the mapping relations between traffic table and the node server, the data processing method further includes：
The destination node server is detected using the detection mechanism, obtains the state of destination node server；
If the state of the destination node server obtains the destination node server according to the mapping relations for delay machine
Corresponding target service table；
By the state be delay machine the corresponding target service table of destination node server by way of load balancing, be distributed to
In other destination node servers in node server set；
The destination node server that the state is delay machine is removed from the node server set；
Update the mapping relations between the identification information, the target service table and the destination node server.
5. such as the described in any item data processing methods of Claims 1-4, which is characterized in that establish the mark letter described
After mapping relations between breath, the target service table and the node server, the data processing method further includes：
If receiving the processing for the declaration form traffic table that the client is sent to request, obtain in the processing request
The target data mark for including and the target data identify corresponding process instruction；
According to the mapping relations, obtains the target data and identify corresponding destination node server, taken as data processing
Business device；
The process instruction is sent to the data processing server；
If receiving the implementing result that the data processing server returns, according to the mapping relations, by implementing result into
Row merges, and obtains objective result；
The objective result is sent to the client.
6. a kind of data processing equipment, which is characterized in that the data processing equipment includes：
Data reception module, for receiving the declaration form traffic table of client transmission, wherein the declaration form traffic table includes a plurality of number
According to the identification information of record and every data record；
Data fragmentation module, for being counted using preset sharding method to the data record in the declaration form traffic table
According to fragment, P target service table is obtained, wherein P is positive integer；
Node detecting module, for being carried out using preset detection mechanism to each node server in node server set
Detection obtains the state of node server, and the node server that the state is activation is determined as destination node server；
Score value computing module, for being directed to each destination node server, obtain the destination node server uses shape
State, and calculate according to the use state state score of the destination node server；
Ratio-dependent module, for calculating the task distribution ratio of each destination node server according to the state score
Example；
Data allocation module, for according to the task allocation proportion, the P target service tables to be distributed to the target section
It is stored in point server；
Mapping establish module, for establish the identification information, the target service table and the destination node server it
Between mapping relations.
7. data processing equipment as claimed in claim 6, which is characterized in that the data fragmentation module includes：
Fragment table generation unit, for carrying out fragment to the data in the declaration form traffic table according to preset dimension, generation is faced
When fragment table；
Traffic table acquiring unit carries out fragment to each interim fragment table for using preset partition table generating mode,
Obtain the P target service tables.
8. data processing equipment as claimed in claim 6, which is characterized in that the score value computing module includes：
Parameter acquiring unit obtains the centre of the destination node server for being directed to each destination node server
Manage type Q1, disk space parameter Q2With memory model Q3；
Score value computing unit, for calculating the corresponding state score S of each destination node server according to following formula：
S=J1+Q2×J2+J3
Wherein, J1For the central processing unit model Q1Corresponding preset weights, J2It is corresponding default for the disk space parameter
Weight, J3For the memory model Q3Corresponding preset weights.
9. a kind of computer equipment, including memory, processor and storage are in the memory and can be in the processor
The computer program of upper operation, which is characterized in that the processor realized when executing the computer program as claim 1 to
Any one of 5 data processing methods.
10. a kind of computer readable storage medium, the computer-readable recording medium storage has computer program, and feature exists
In the step of realization data processing method as described in any one of claim 1 to 5 when the computer program is executed by processor
Suddenly.
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