CN106203810A - CRM data processing method based on cloud platform - Google Patents
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Abstract
The invention provides a kind of CRM data processing method based on cloud platform, the method includes: service provides enterprise will to register the tenant space of oneself, establishing resource model as primary tenant, and provide service by crm system；When user customizes the service that this service provides enterprise, from the resources bank of this enterprise, obtain this model, then model is customized, and be stored under the tenant space of this enterprise the secondary tenant space belonging to this user.The present invention proposes a kind of CRM data processing method based on cloud platform, meets the core demand of enterprises pay attention affairs associated body, effectively controls quantity of service, improves service discovery efficiency.It is advantageously implemented enterprises service personalized.
Description
Technical field
The present invention relates to data storage, particularly to a kind of CRM data processing method based on cloud platform.
Background technology
In the manageming contacts CRM business system of application architecture, multiple application same services of Chang Fuyong.The most also
Need integrated multiple service to realize complicated flow of transactions.And the enterprises service with data as core focuses more on business affair
Relevant affairs body, the core of service is the operation to affairs body.But apply existing service system building data
Face during service and build difference service for different demands or allow user process two ways select permeability voluntarily data return.And
And this can bring quantity of service to increase severely, service discovery difficulty, critical data is difficult to the problems such as acquisition, therefore is difficult to good realization clothes
Business personalization.
Summary of the invention
For solving the problem existing for above-mentioned prior art, the present invention proposes at a kind of CRM data based on cloud platform
Reason method, including:
Service provides enterprise will to register the tenant space of oneself, establishing resource model as primary tenant, and pass through CRM
System provides service；When user customizes the service that this service provides enterprise, from the resources bank of this enterprise, obtain this model, so
Afterwards model is customized, and is stored under the tenant space of this enterprise the secondary tenant space belonging to this user.
Preferably, described crm system uses tree storage model to be stored in the file system of server by model；
In data separating, use one of following three kinds of grades, it may be assumed that (1) database level separates, and the most each tenant has the data of oneself
Storehouse example, applies and arranges independent data base for each tenant；(2) tables of data is shared, i.e. by the way of adding tenant identification
The data of the difference different tenants in same the exterior and the interior face, thus complete to share；(3) tables of data fraction discrete data storehouse is shared,
The data of the most all tenants are stored in the middle of a database instance, but the data of oneself are stored in the table of oneself by each tenant
In, by increasing tenant's label before the name of each table, thus allow each tenant have in same database instance certainly
Oneself table space；
Limit the one-dimensional inner space of the excursion formation oneself of each bulk state at configuration phase, represent body
State set, is associated together the one-dimensional state of resource with service by multidimensional inner space；Each body has an acquiescence
Status attribute；Cartesian product one state matrix of composition of the inner space of multiple bodies；By a certain moment difference body shape
The combination of state is as combined state；Only the most actively trigger new flow process when a combined state changes；Each
A behavior is associated under individual combined state；When edge-triggered, systems inspection combined state also finds row associated with it
For, finally trigger new behavior；
After system receives user's request pretreatment, find the model of correspondence, if behavior, first to the example；As
Fruit changes the state of resource in behavior, then perform the parsing of inner space and redirect；Current being somebody's turn to do is carried in user asks
The process resources of request；Resolve this process resources and inner space, find corresponding son empty by the state of process resources
Between；Then according to the body involved by this subspace, and find its combined state respectively, finally find further according to this combined state
Corresponding behavior, reenters the instantiation of behavior according to the behavior；
Thering is provided conventional data collection, operationally, unified this conventional data that is stored in of example is concentrated, and each resource has one
It is identified by individual globally unique key, and when needing the situation using resource, system can obtain this example by this key, often
Being concentrated through URL from conventional data inside individual atomic operation finds the example of correspondence to operate.
The present invention compared to existing technology, has the advantage that
The present invention proposes a kind of CRM data processing method based on cloud platform, meets enterprises pay attention affairs associated body
Core demand, effectively control quantity of service, improve service discovery efficiency.It is advantageously implemented enterprises service personalized.
Accompanying drawing explanation
Fig. 1 is the flow chart of CRM data processing method based on cloud platform according to embodiments of the present invention.
Detailed description of the invention
Hereafter provide retouching in detail one or more embodiment of the present invention together with the accompanying drawing of the diagram principle of the invention
State.Describe the present invention in conjunction with such embodiment, but the invention is not restricted to any embodiment.The scope of the present invention is only by right
Claim limits, and the present invention contains many replacements, amendment and equivalent.Illustrate in the following description many details with
Thorough understanding of the present invention is just provided.These details are provided for exemplary purposes, and without in these details
Some or all details can also realize the present invention according to claims.
An aspect of of the present present invention provides a kind of CRM data processing method based on cloud platform.Fig. 1 is real according to the present invention
Execute the CRM data process flow figure based on cloud platform of example.
The crm system of the present invention include user interface layer, resource distribution layer, condition managing layer, parsing and instantiation layer with
And data Layer, it is achieved service personalization, Services Integration separate with many tenants.Affairs body is represented with ontology model；Behavior model
Represent the continuous operation to multiple bodies.By unified mapping mechanism, two kinds of models are mapped to corresponding data, services.Profit
By Model instantiation process, model instance is melted into example.User realizes service personalization by customizing model.Utilize internal empty
Between integrated service.By tenant's separation process of the present invention to meet the demand of cloud storage, ground floor is used for separating different enterprise
Project, the second layer is for separating registration different application within the system.Based on tenant space by model, inner space and thing
Business data separating.Use file system disjunctive model and inner space, use separation based on database instance and shared data
The mode separating work data that storehouse and table combine.
At system configuration phase, extract the service that the multiple subsystem of enterprises is used in conjunction with, form a kernel service
Storehouse.Different application systems can therefrom obtain respective service.Same can use these service construction flow of transactions.Demand is divided
In the analysis stage, take out affairs body, behavior and flow of transactions according to transactional demands, form three kinds of information models.In resource distribution
In the stage, build body, behavior and inner space and they permanently stored to server, finally according at the beginning of the configuration file created
Beginning system.When user asks arrival system, system, automatically by instantiation, is mapped to respective service, and performs state transfer,
Finally return data to user.Service is provided enterprise to be referred to as primary tenant by the present invention, and service provides the tenant of enterprise to be referred to as
Secondary tenant.When secondary tenant needs the service of personalized primary tenant, need also exist for experiencing demand analysis and Resource Design.
At configuration phase, model that tools build that service provides enterprise to be provided by system is original and inner space, from
And service can be mapped as.And service tenant obtain service provide enterprise design model and according to oneself demand revise
Produce new body, the logical order changing behavior or atomic operation.And the model after customization is permanently stored the rent of oneself
In space, family.
In the operation phase, crm system realizes request analysis, request distribution, inner space resolves, state shifts, model adds
Load, instantiation, service return.User interface layer is responsible for resolving user's request, obtains the kind of the resource of request, corresponding rent
Family；Service call is distributed, it is judged that this request is service request or resource allocation request, thus is distributed to suitable position
Put and process.Run calling layer to be responsible for resolving inner space, and combine current system resource status and redirect, trigger correspondence
Behavior, i.e. carry out calling of corresponding behavior.Resolve and correspondence is found in the responsible request according to operation calling layer of instantiation layer
Model and to its resolve and instantiation.The instantiation of behavior may change the state of resource.If changing, can return the most again
The logic carrying out correspondence to condition managing layer is called, until halted state changes.It is finally returned to user interface layer, by it for using
Family returns service.Data Layer is responsible for actual transaction data and the operation of various configurations model, and responsible data permanently store and
Many tenants separate.
Specifically, resource distribution layer processes configuration process and initializes two steps.At configuration phase, resource distribution layer and
Operation phase multiplexing user interface layer.Configuration layer has system space and tenant space.System space provides tenant
Instrument needed for allocation models, the ontology model carried including system and intrinsic atomic operation.Tenant is according in system space
Instrument configure oneself required model.After tenant has configured, model can be deposited by system according to the rule that many tenants separate
Store up in system space.System space is a two-layer configuration, including primary tenant space and secondary tenant space.Service
There is provided enterprise will to create original model and inner space in primary tenant space.And have several in primary tenant space
Secondary tenant space.If secondary tenant needs this service personalized to provide the service of enterprise, then open in primary tenant space
Ward off the secondary tenant space of oneself, and the model after customization is stored therein.At initial phase, ontological relationship is used to map
Mode, database table is mapped as class, data access is mapped as the operation of class, after personalized model, needs manually to add
Carry new class.
User interface layer and user's direct interaction, resolve user's request, obtains the kind of the resource of request, corresponding tenant
Information；Service call is distributed, it is judged that service request or resource allocation request during this request, thus is distributed to suitably
Position processes.This layer is configured stage and operation phase multiplexing at all levels.Request analysis includes from the request of user
Obtain the ownership person of resource, concrete resource and the method for request.Delivery of services is carried out, to judge to ask by the parsing of URL
Seeking Truth service request or resource allocation request.If service request, carry out more fine granularity according to resolving the content obtained
Distribution.System needs to be distributed to correct position according to tenant id, resource, project etc..
Condition managing layer is responsible for resolving inner space, and combines current system environments, and the current state of the most each resource is entered
Row state transition, triggers corresponding behavior, it is judged that when should resolve and instantiation behavior, next step trend of behavior.Each money
There is the inner space of oneself in source, and it shows that the state of each resource is in the state of multiple resource in a limited state set
Can form a composite internal space, it is made up of the cartesian product of the state set of multiple resources.So one internal empty
Between can be made up of multiple combined state.Being determined by under certain combined state, which behavior is system should call, so that
System can be gone down according to the process flow operation of design.
In order to realize system based on state operating, tenant builds the inner space of oneself when design.Inner space is wrapped
A dimensional table of the inner space of each resource oneself and the bivariate table of a combined state of multiple resource composition are included.?
The when that request being sent to run calling layer, first request guiding is extremely resolved and instantiation layer, by resolving with instantiation layer asking
The resource asked processes.By the time resolve and at the end of the process of instantiation layer, return and run calling layer, now resolve internal sky
Between, check that the state the most whether triggering resource changes, and check the combined state of now whole system related resource, thus
Determine be to continue with performing next step resource request or directly return.
Parsing and instantiation layer are responsible for loading and the instantiation of model, including instantiation and the instantiation of behavior of body.
During the instantiation of body, it is divided into model analyzing and data to be loaded into two steps.At configuration phase, the genus of ontology model
Property part is initialized to resources-type.But state and constraint portions are still required for resolved and are applied to the data loading stage.
So in resolution phase, state and the constraint of body are resolved by the present invention.It is loaded into the stage in data, obtains according to parsing
State and about binding close navigate to resources-type give data Layer.Finally it is loaded into by data Layer service data.Need analytical model,
It is mapped to concrete resources-type dynamically.For the instantiation of behavior, including body instantiation and with the group of atomic operation
Close, complete more complicated data, services.The instantiation of behavior also includes resolving and the execution of rule of behavior model.At behavior mould
During the parsing of type, initialize the conventional data collection of system, and the data that user asks are mapped in model attributes
Resource.
Data Layer is that whole system provides unified data access interface, and provides many tenants in physical data and divide
From function.Shielding the details of database manipulation, the resource for upper strata accesses a kind of OO abstract method of offer.With
Time, change model according to the demand of tenant, realized the personalization of service by the change of bottom data database table structure.
Invention defines ontology model and behavior model.By the instantiation process of model by Model instantiation, then lead to
The service of crossing maps and is mapped as servicing accordingly by the model after instantiation.And user can realize service by personalized model
Property.
Body is the abstract of the information model to affairs body.The Ontologies such as such as order, commodity, client.It is one
As the information carrier of affairs body.Classifying according to the function of element, the element in ontological resource definition is divided into three classes: mould
Type describes type element, information definition type element and expands Custom Prosthesis element.Behavior is by atomic operation, body and logical connectives
Combine.
In the configuration of behavior, resource has two attribute: instance properties and model attributes.Wherein instance properties represents this money
Source be one be instantiated after resource.This kind of resource need not operationally perform solution to model analysis, can be direct
Operate on it.And the resource that model attributes represents is a model, need in the resolving of behavior first in fact
Could use after example.In the present system, for operationally both unifications, it is provided that a conventional data collection.Operationally,
The unified conventional data that is stored in of example is concentrated.Each resource being present in conventional data concentration has a globally unique key
It is identified.When needing the situation using resource, system can obtain this example by this key.Inside each atomic operation
Being concentrated through URL from conventional data finds the example of correspondence to operate.
The process of Model instantiation farther includes, and after the parsing of user interface layer, system has recognized the need for
Access resource and navigate to concrete model.Then instantiation can be carried out according to this model.Difference according to version is divided
Instantiation and the instantiation of behavior for body.If body, then resolve this model, find it to be reflected according to the title of model
The database instance penetrated and database table.Then according to the definition of method, the parameter of request and body of request from data base
Middle acquisition data, then dress up service by data set and are directly returned to client.If behavior, first resolve behavior, and will
In required parameter load behavior attribute in user's request, then resolve the logic rule of behavior, progressively resolve according to sequence.?
Directly can not return service for user after one behavior of instantiation, but judge whether the behavior makes the state of resource there occurs
Change.Without change, the result of behavior instantiation is packaged into data, services and is directly returned to user；If it occur that
Change, then enter inner space.Again by judging next step execution step.
The present invention uses the one-dimensional inner space of body to represent the state set of body, by multidimensional inner space by resource
One-dimensional state is associated together with service.So each body has a status attribute given tacit consent to.Limit every at configuration phase
The excursion of individual bulk state.Such as one commodity can only have added, subscribe, sell, the state such as after sale.Each by limiting
The excursion of resource status, each body is the formation of the one-dimensional inner space of oneself.
One flow of transactions relates to many bodies.Each moment, each body had the state of oneself.Multiple bodies interior
The cartesian product in space, portion can form a complicated state matrix.The present invention is by the combination of a certain moment difference bulk state
It is referred to as combined state.Only the most actively trigger new flow process when a combined state changes.Therefore multiple at each
A behavior is associated under conjunction state.When edge-triggered, systems inspection combined state also finds behavior associated with it,
The behavior that rear triggering is new.
After user interface layer is to request pretreatment, the model of correspondence can be found.If behavior, can be first to the example
Change.If changing the state of resource in behavior, then enter run calling layer, perform inner space parsing with redirect.?
User's request is carried the process resources of this request current.In running calling layer, this process resources and inner space can be resolved.
According to the definition of inner space, the present invention can find corresponding subspace by the state of process resources.Then basis
Body involved by this subspace, and find its state respectively, form combined state.Finally further according to this combined state find with
The behavior of its correspondence.Reenter according to the behavior and resolve and instantiation layer carries out the instantiation of behavior.
The present invention uses file system disjunctive model and inner space；Different data bases is used to design separating work number
According to.Service provides enterprise will to register the tenant space of oneself as primary tenant, create related resource, and pass through system mechanism
Service is externally provided.When user needs to customize the service that this service provides enterprise, provide the resources bank of enterprise from service and obtain
Obtain this model, then by corresponding mode, model is customized.It is ultimately stored in the tenant space of oneself, i.e. each
Service provides under the tenant space of enterprise, needs the tenant for this service personalized to open up secondary spatial.Service provides enterprise to have
Authority creates multiple projects, can there is multiple tenant and create the project of oneself, so the present invention uses tree in each project
Shape structure storage model.Model is stored in the file system of server by the present invention.
In data separating, use following three kinds of grades.(1) database level separates, and the most each tenant has the number of oneself
According to storehouse example, apply and independent data base is set for each tenant；(2) tables of data is shared, i.e. by adding the side of tenant identification
The data of the formula difference different tenants in same the exterior and the interior face.Thus complete to share；(3) tables of data fraction discrete data storehouse is altogether
Enjoying, the data of the most all tenants are stored in the middle of a database instance, but the data of oneself are stored in certainly by each tenant
In oneself table, by increasing tenant's label before the name of each table, thus allow each tenant in same database instance
Have the table space of oneself.
In crm system based on cloud, user has certain confidence level requirement to the reliability of back end.It is therefore desirable to
Node in cluster being set up a kind of confidence level and investigates mechanism, reliability and storage performance to back end make evaluation, with
Just back end is screened by cloud storage system.Following aspect of the present invention is from the confidence level of node and two sides of load balance
Data store strategy is improved in face.
System data node does not sends heartbeat message process and is designated as an anomalous event.During an anomalous event,
Parameter Ta represents the time-to-live of back end, and parameter Td represents the back end death time, and parameter represents the generation of event ts
Time, parameter tn represents the current time in system.According to the historical data of each nodes heart beat information, calculate each back end i's
Confidence value.
Wherein, n represents the frequency of abnormity that back end i occurs to current time.
In given cloud storage back end set S, trying to achieve back end i, confidence level C (i) meets C (i) > x, obtain
Back end set N (x), operation function is F, then can obtain:
N (x)=F (C (i), S, x)
In cloud storage system, back end topology distance in this cluster is the important ginseng that data storage transmission selects node
Examine parameter, node topology distance SijRepresent.
For load balance, the present invention uses method of weighting to process problem of load balancing.The storage performance of back end
It is expressed as with P (i):
P (i)=η1F(i)+η2M(i)+η3S(i)+η4V(i)
Wherein, F (i) is for processing resource performance, and M (i) is memory size, and S (i) is storage cluster capacity；V (i) is disk
Read or write speed；η1-η4It is the weight coefficient of parameters, and η1-η4And be 1.
Quantity N (i) of back end storage data block in cloud storage system is come with the ratio of back end performance P (i)
Represent a back end load state, with L (i) represent back end i load:
L (i)=N (i)/P (i)
Using calculated load value as the selection cost of back end, select preferentially to select during the memory node of data block
Select the storage carrying out data that back end load value is minimum.
C (i)=min (L (i))
For controlling the cluster load state of whole cloud storage system, calculate the average load situation of whole cluster, it may be assumed that
Wherein: L (t) is expressed as the mean load value of all back end in t cloud storage system, SUM is cloud storage
The sum of back end in system.
When a node meets L (i)-L (t) > predetermined constant LC time, determine back end overload；When a node
Meet L (t)-L (i) > LC time, determine back end underload.
When there being data block to upload to cloud storage system, it is judged that data block is stored on current data node, whole deposit
Whether the equilibrium condition of storage system meets, if it is, just this data block is stored on this back end, otherwise farther
Conditional judgment storage is done again, until finding suitable back end to store apart from interior selection back end.
In given cloud storage back end set S, try to achieve in cloud storage system the load of back end i with L (i),
Meet L (t)-L (i) > z, wherein z is given load threshold, obtains gathering B (z), and operation function is G, then can obtain:
B (z)=G (L (i), L (i), S, z)
The validity function of back end is established according to the factors above affecting back end performance.In cloud storage system
System sets and can store the confidence level of back end and have to be larger than x, after storing data on this back end, meet load
The requirement of threshold value y, storage function is P, the most thus tries to achieve and meets the back end j required:
Wj (x, y)=P (C (x), L (y))
(1) in cloud storage system, select back end set S, calculate average load L (t) of whole cluster；
(2) in the back end set S selected, confidence level C (i) of back end in this set is calculated, according to setting
Fixed confidence value x, selects to meet the back end required and combines N (x)；
(3) in back end set N (x) selected, load B (i) of back end in this set is calculated, according to being
Load threshold y of the load request that system sets, selects to meet node set B (y) required；
(4) node set B (y) is selected, if drawing back end set B (y) meeting requirement；
(5) for back end set B (z) selected, data block is stored in the data section that confidence value is the highest
On point.
All coded data blocks of one data object are selected suitable back end by circulation above-mentioned steps (1)-(5)
Store.
In sum, the present invention proposes a kind of CRM data processing method based on cloud platform, meets enterprises pay attention affairs
The core demand of associated body, effectively controls quantity of service, improves service discovery efficiency.It is advantageously implemented enterprises service individual character
Change.
Obviously, it should be appreciated by those skilled in the art, each module of the above-mentioned present invention or each step can be with general
Calculating system realize, they can concentrate in single calculating system, or be distributed in multiple calculating system and formed
Network on, alternatively, they can realize with the executable program code of calculating system, it is thus possible to by they store
Performed by calculating system within the storage system.So, the present invention is not restricted to the combination of any specific hardware and software.
It should be appreciated that the above-mentioned detailed description of the invention of the present invention is used only for exemplary illustration or explains the present invention's
Principle, and be not construed as limiting the invention.Therefore, that is done in the case of without departing from the spirit and scope of the present invention is any
Amendment, equivalent, improvement etc., should be included within the scope of the present invention.Additionally, claims purport of the present invention
Whole within containing the equivalents falling into scope and border or this scope and border change and repair
Change example.
Claims (2)
1. a CRM data processing method based on cloud platform, it is characterised in that including:
Service provides enterprise will to register the tenant space of oneself, establishing resource model as primary tenant, and pass through crm system
Service is provided；When user customizes the service that this service provides enterprise, from the resources bank of this enterprise, obtain this model, the most right
Model is customized, and is stored under the tenant space of this enterprise the secondary tenant space belonging to this user.
Method the most according to claim 1, it is characterised in that described crm system uses tree storage model by mould
Type is stored in the file system of server；In data separating, use one of following three kinds of grades, it may be assumed that (1) data base's fraction
From, the most each tenant has the database instance of oneself, applies and arranges independent data base for each tenant；(2) tables of data is common
Enjoy, i.e. by adding the data distinguishing the different tenants in same the exterior and the interior face by the way of tenant identification, thus complete to share；
(3) tables of data fraction discrete data storehouse is shared, and the data of the most all tenants are stored in the middle of a database instance, but each rent
The data of oneself are stored in the table of oneself by family, by increasing tenant's label before the name of each table, thus allow each rent
Family has the table space of oneself in same database instance；
Limit the one-dimensional inner space of the excursion formation oneself of each bulk state at configuration phase, represent the state of body
Collection, is associated together the one-dimensional state of resource with service by multidimensional inner space；Each body has a shape given tacit consent to
State attribute；Cartesian product one state matrix of composition of the inner space of multiple bodies；By a certain moment difference bulk state
Combination is as combined state；Only the most actively trigger new flow process when a combined state changes；Multiple at each
A behavior is associated under conjunction state；When edge-triggered, systems inspection combined state also finds behavior associated with it,
The behavior that rear triggering is new；
After system receives user's request pretreatment, find the model of correspondence, if behavior, first to the example；If
Behavior changes the state of resource, then performs the parsing of inner space and redirect；This request current is carried in user asks
Process resources；Resolve this process resources and inner space, find corresponding subspace by the state of process resources；So
Afterwards according to the body involved by this subspace, and find its combined state respectively, finally find and it further according to this combined state
Corresponding behavior, reenters the instantiation of behavior according to the behavior；
Thering is provided conventional data collection, operationally, unified this conventional data that is stored in of example is concentrated, and each resource has one entirely
It is identified by the unique key of office, and when needing the situation using resource, system can obtain this example, Mei Geyuan by this key
Being concentrated through URL from conventional data inside child-operation finds the example of correspondence to operate.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
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