CN110941681A - Multi-tenant data processing system, method and device of power system - Google Patents

Multi-tenant data processing system, method and device of power system Download PDF

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CN110941681A
CN110941681A CN201911268589.2A CN201911268589A CN110941681A CN 110941681 A CN110941681 A CN 110941681A CN 201911268589 A CN201911268589 A CN 201911268589A CN 110941681 A CN110941681 A CN 110941681A
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request
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CN110941681B (en
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邹文景
张世良
唐良运
甘莹
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China Southern Power Grid Digital Platform Technology Guangdong Co ltd
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Southern Power Grid Digital Grid Research Institute Co Ltd
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Abstract

The application relates to a multi-tenant data processing system, a method and a device of a power system, wherein the system comprises: a multi-tenant model and a big data processing platform; the multi-tenant model comprises a tenant front end, an administrator front end and a background server; the tenant front end is used for sending a tenant request of a target tenant to the background server; the administrator front end is used for acquiring the tenant request and sending a tenant request feedback instruction aiming at the tenant request to the background server; if the tenant request feedback instruction is a tenant request agreement instruction, the background server sends corresponding first response indication information and the tenant request to the big data processing platform; and the big data processing platform is used for receiving the first response indication information and the tenant request, responding to the tenant request and feeding back a first response result to the background server. According to the method and the system, the multi-tenant data processing efficiency of the power system is improved by constructing a system architecture for data interaction between the multi-tenant model and the big data processing platform.

Description

Multi-tenant data processing system, method and device of power system
Technical Field
The present disclosure relates to the field of data processing technologies of power systems, and in particular, to a multi-tenant data processing system of a power system, a multi-tenant data processing method of a power system, a multi-tenant data processing apparatus of a power system, a background server of a power system, and a computer-readable storage medium.
Background
With the exponential increase of data volume, Hadoop as a software framework for distributed processing of a large amount of data has the characteristics of reliability, high efficiency and scalability, so that more and more companies select Hadoop as a data warehouse and more relatively complex application scene requirements are erected on a large data cluster. In a company, multi-user service applications are erected on the same Hadoop cluster, a disordered state of data and cluster resources is easy to occur, a uniform scheduling platform needs to be established to realize uniform management of the data and reasonable scheduling of tasks, and the cluster resources are distributed as required.
However, when the amount of business applications and data of the large power data platform is continuously increased, resource contention occurs, and the data processing efficiency is low.
Disclosure of Invention
Based on this, it is necessary to provide a multi-tenant data processing system of a power system, a multi-tenant data processing method of a power system, a multi-tenant data processing device of a power system, a background server of a power system, and a computer readable storage medium, for solving the technical problem that the data processing efficiency of a power big data platform in the conventional technology is low.
A multi-tenant data processing system of a power system, comprising: a multi-tenant model and a big data processing platform; the multi-tenant model comprises a tenant front end, an administrator front end and a background server; wherein the content of the first and second substances,
the tenant front end is used for acquiring a tenant request of a target tenant and sending the tenant request to the background server for storage;
the administrator front end is used for acquiring the tenant request stored by the background server and acquiring a tenant request feedback instruction aiming at the tenant request;
the administrator front end is further configured to send the tenant request feedback instruction to the background server;
the background server is used for acquiring first response indicating information corresponding to the tenant request agreement instruction if the tenant request feedback instruction is the tenant request agreement instruction, and sending the first response indicating information and the tenant request to the big data processing platform;
the big data processing platform is used for receiving the first processing response information and the tenant request, responding to the tenant request according to the first response indication information, and feeding back a first response result to the background server.
In one embodiment, the tenant request agreement instruction carries a target processing mode identifier; the background server is further configured to: extracting the target processing mode identification from the tenant request agreement instruction; extracting first response indication information corresponding to the target processing mode identifier from a response indication information base according to a corresponding relation between a pre-established processing mode identifier and the response indication information; the response indication information base comprises a plurality of response indication information corresponding to a plurality of processing mode identifications.
In one embodiment, the tenant request agreement instruction further carries a priority identifier; the background server is further configured to: determining the sending priority of the first response indicating information according to a priority identifier in the tenant request agreement instruction; determining the sending sequence of the first response indication information and the tenant request according to the sending priority; and sending the first response indication information and the tenant request to the big data processing platform according to the sending sequence.
In an embodiment, the background server is further configured to extract request rejection reason information from the tenant request rejection instruction and send the request rejection reason information to the tenant front end if the tenant request feedback instruction is a tenant request rejection instruction.
In one embodiment, the administrator front-end is further configured to obtain an administrator request initiated by an administrator account, and send the administrator request to the background server; the background server is further configured to obtain second response indication information corresponding to the administrator request, and send the second response indication information and the administrator request to the big data processing platform; the big data processing platform is further configured to receive the second response indication information and the administrator request, respond to the administrator request according to the second response indication information, and feed back a second response result to the background server.
A multi-tenant data processing method of a power system is applied to a background server of the power system and comprises the following steps:
the method comprises the steps of obtaining and storing a tenant request sent by a tenant front end, sending the tenant request to an administrator front end, triggering the administrator front end to obtain a tenant request feedback instruction aiming at the tenant request, and sending the tenant request feedback instruction to a background server;
receiving the tenant request feedback instruction sent by the administrator front end;
if the tenant request feedback instruction is a tenant request agreement instruction, first response indicating information corresponding to the tenant request agreement instruction is obtained, the first response indicating information and the tenant request are sent to the big data processing platform, the big data processing platform is used for indicating to respond to the tenant request according to the first response indicating information, and a first response result is fed back to the background server.
In one embodiment, the multi-tenant data processing method of the power system further includes: acquiring a big data multi-tenant model of the power system; decomposing the big data multi-tenant model of the power system into a tenant model, an authority model and a resource model; and respectively constructing a sub multi-tenant model, an authority multi-tenant model and a resource multi-tenant model according to the tenant model, the authority model and the resource model.
In one embodiment, the tenant requests for an agreement instruction to carry a processing mode identifier; the obtaining of the first response indication information corresponding to the tenant request agreement instruction comprises extracting the target processing mode identifier from the tenant request agreement instruction; extracting first response indication information corresponding to the target processing mode identifier from a response indication information base according to a corresponding relation between a pre-established processing mode identifier and the response indication information; the response indication information base comprises a plurality of response indication information corresponding to a plurality of processing mode identifications.
In one embodiment, the multi-tenant data processing method of the power system further includes: acquiring an administrator request; the administrator request is initiated by an administrator account at the administrator front end; and second response indication information corresponding to the administrator request is obtained, the second response indication information and the administrator request are sent to the big data processing platform, the big data processing platform is used for indicating to respond to the administrator request according to the second response indication information, and a second response result is fed back to the background server.
A multi-tenant data processing device of a power system is applied to a background server of the power system and comprises:
the tenant request acquisition module is used for acquiring and storing a tenant request sent by a tenant front end, sending the tenant request to an administrator front end, triggering the administrator front end to acquire a tenant request feedback instruction aiming at the tenant request, and sending the tenant request feedback instruction to the background server;
a feedback instruction receiving module, configured to receive the tenant request feedback instruction sent by the administrator front end;
and the first response sending module is used for acquiring first response indication information corresponding to the tenant request agreement instruction if the tenant request feedback instruction is the tenant request agreement instruction, sending the first response indication information and the tenant request to the big data processing platform, indicating the big data processing platform to respond to the tenant request according to the first response indication information, and feeding a first response result back to the background server.
A background server of an electric power system, comprising a processor and a memory, wherein the memory stores a computer program, and the processor implements the multi-tenant data processing method of the electric power system according to any one of the above embodiments when executing the computer program.
A computer-readable storage medium, on which a computer program is stored, which, when executed by a processor, implements the multi-tenant data processing method of an electric power system as set forth in any one of the above embodiments.
The multi-tenant data processing system, the multi-tenant data processing method, the multi-tenant data processing device, the background server of the power system and the computer readable storage medium of the power system are provided, wherein the system comprises: a multi-tenant model and a big data processing platform; the multi-tenant model comprises a tenant front end, an administrator front end and a background server; the tenant front end is used for acquiring a tenant request of a target tenant and sending the tenant request to the background server for storage; the administrator front end is used for acquiring the tenant request stored by the background server and acquiring a tenant request feedback instruction aiming at the tenant request; the administrator front end is also used for sending the tenant request feedback instruction to the background server; the background server is used for acquiring first response indicating information corresponding to the tenant request agreement instruction if the tenant request feedback instruction is the tenant request agreement instruction, and sending the first response indicating information and the tenant request to the big data processing platform; and the big data processing platform is used for receiving the first response indicating information and the tenant request, responding to the tenant request according to the first response indicating information, and feeding back a first response result to the background server. According to the method and the system, the multi-tenant data processing efficiency of the power system is improved by constructing a system architecture for data interaction between the multi-tenant model and the big data processing platform.
Drawings
FIG. 1 is a block diagram of a multi-tenant data processing system of an electrical power system in one embodiment;
FIG. 2 is a flow diagram of a multi-tenant data processing method of an electrical power system in one embodiment;
FIG. 3 is a flow chart illustrating a multi-tenant data processing method in an application example;
FIG. 4 is a structural diagram of a multi-tenant model in an application example;
FIG. 5 is a system architecture diagram of a multi-tenant data processing system for an electrical power system in one example of an application;
FIG. 6 is a schematic diagram illustrating a key application and approval process in an exemplary application;
FIG. 7 is a flow diagram illustrating resource modification in an exemplary application;
FIG. 8 is a block diagram of a multi-tenant data processing apparatus of an electrical power system in one embodiment;
fig. 9 is an internal structural diagram of a background server of the power system in one embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
It should be noted that the terms "first \ second" referred to in the embodiments of the present application only distinguish similar objects, and do not represent a specific ordering for the objects, and it should be understood that "first \ second" may exchange a specific order or sequence when allowed. It should be understood that "first," "second" noted objects may be interchanged under appropriate circumstances such that embodiments of the present application described herein may be implemented in sequences other than those illustrated or described herein.
The embodiment of the present application provides a multi-tenant data processing system of an electric power system, and each component of the system is described in detail below.
The structural schematic diagram of the multi-tenant data processing system of the power system provided by the present application is shown in fig. 1, where fig. 1 is a structural schematic diagram of the multi-tenant data processing system of the power system in one embodiment, the multi-tenant data processing system of the power system may include a multi-tenant model and a big data processing platform 104, and the multi-tenant model may include a tenant front end 101, an administrator front end 103, and a backend server 102. The background server 102 is in communication connection with the big data processing platform 104 by calling a big data interface.
The tenant front end 101 and the administrator front end 103 may be, but are not limited to, various personal computers, notebook computers, smart phones, and tablet computers, the tenant front end 101 and the administrator front end 103 communicate with the background server 102 through a network, and the background server 102 may be implemented by an independent server or a server cluster formed by a plurality of servers. The background server 102 may communicate with the big data processing platform 104 by calling a big data interface, and the big data processing platform 104 may include a plurality of types of server clusters for processing multi-tenant data of the power system.
Specifically, the tenant front end 101 may be a computer front end of a tenant user in the power system multi-tenant model, the tenant user may input a tenant request in a page displayed by the tenant front end 101, and the tenant front end 101 may read the tenant request and send the tenant request to the background server 102 for storage. The tenant request may be an authority application request, such as a request for applying a key, or a resource application request, such as an application memory and a CPU storage space.
The administrator front end 103 may be a computer front end of an administrator in the power system multi-tenant model, and may be used to approve tenant requests of tenant users. Specifically, the administrator front end 103 may extract, from the background server 102, a tenant request sent by a tenant front end managed by the administrator front end, and display the tenant request through a visual interface in the administrator front end 103, so that the administrator approves the tenant request, generates a tenant request feedback instruction corresponding to the tenant request according to an approval result of the administrator, and sends the tenant request feedback instruction to the background server 102.
After receiving the tenant request feedback instruction sent by the administrator front end 103, the background server 102 may determine the type of the tenant request feedback instruction, where the type of the tenant request feedback instruction may include a tenant request approval instruction and a tenant request rejection instruction, and the tenant request approval instruction and the tenant request rejection instruction correspond to approval and disapproval of the administrator on the tenant request. If the type of the tenant request feedback instruction is a tenant request grant instruction, the background server 102 obtains first response information corresponding to the tenant request grant instruction at this time. The first response information is used to instruct the big data processing platform 104 to respond to the tenant request, and may be generated by the background server 102 according to the tenant request approval instruction. After obtaining the first response indication information, the background server 102 may send the first response indication information and the tenant request to the big data processing platform 104 by calling a corresponding big data interface.
After receiving the first response indication information and the tenant request sent by the background server 102, the big data processing platform 104 may call a related big data interface according to the first response indication information, send the first response indication information to the corresponding big data server cluster, and feed back a response result to the background server 102 through the response of the big data server cluster to the tenant request after the response is completed, and the background server 102 may return the result to the tenant front end 101 and the administrator front end 103 for display.
Taking a memory resource request as an example of a tenant request, a tenant user may input the memory resource request through the tenant front end 101, the tenant front end 101 receives the request and then sends the request to the background server 102 for storage, the administrator front end 103 may obtain the memory resource request from the background server 102 and generate a corresponding memory resource request feedback instruction according to an approval result of an administrator, and if the administrator approves the request, the memory resource request approval instruction is sent to the background server 102. After obtaining the memory resource request grant instruction, the background server 102 generates a memory resource allocation instruction as first response indication information, and sends the memory resource allocation instruction and the memory resource request to the big data processing platform 104 by calling a big data interface. After the big data processing platform 104 obtains the memory resource allocation instruction and the memory resource request, the memory resource of the tenant user can be reallocated by calling the Yarn server cluster in the big data processing platform 104. After the allocation is completed, the big data processing platform 104 feeds back the memory resource allocation result as a corresponding result to the background server 102, and the background server 102 returns the resource allocation result to the tenant front end 101 and the administrator front end 103 for display, thereby completing the response of the tenant user to the memory resource request.
The multi-tenant data processing system of the power system comprises: a multi-tenant model and big data processing platform 104; a multi-tenant model comprising a tenant front-end 101, an administrator front-end 103, and a backend server 102; the tenant front end 101 is configured to obtain a tenant request of a target tenant, and send the tenant request to the background server 102 for storage; the administrator front end 103 is configured to obtain a tenant request stored by the background server 102, and obtain a tenant request feedback instruction for the tenant request; the administrator front end 103 is further configured to send a tenant request feedback instruction to the background server 102; the background server 102 is configured to, if the tenant request feedback instruction is a tenant request agreement instruction, obtain first response indication information corresponding to the tenant request agreement instruction, and send the first response indication information and the tenant request to the big data processing platform 104; and the big data processing platform 104 is configured to receive the first response indication information and the tenant request, respond to the tenant request according to the first response indication information, and feed back a first response result to the background server 102. According to the system, the multi-tenant data processing efficiency of the power system is improved by constructing a system architecture for data interaction between the multi-tenant model and the big data processing platform.
In one embodiment, a tenant requests an agreement instruction to carry a target processing mode identifier; the backend server 102 is further configured to: extracting a target processing mode identifier from the tenant request agreement instruction; extracting first response indication information corresponding to the target processing mode identifier from a response indication information base according to a corresponding relation between the pre-established processing mode identifier and the response indication information; the response indication information base comprises a plurality of response indication information corresponding to a plurality of processing mode identifications.
The target processing mode identifier is used to indicate how to respond to the tenant request, the background server 102 may extract the target processing mode identifier from the tenant request agreement instruction, and extract corresponding first response indication information from a response indication database storing multiple types of response indication information according to a pre-established correspondence between the processing identifier and the response indication information, where the correspondence between the processing identifier and the response indication information may be implemented by a correspondence table of the processing identifier and the response indication information.
Specifically, still taking the memory resource request as an example for explanation, after obtaining the tenant request grant instruction, that is, the information for granting the memory resource request sent by the administrator front end 103, the background server 102 extracts the grant request amount of the memory resource request from the information as the target processing method identifier, queries the pre-established correspondence table between the grant request amount of the memory resource request and the response indication information, finds the correspondence between the request amount of the memory resource and the response indication information, and generates the first response indication information according to the correspondence.
According to the embodiment, the tenant request of the power system is managed more accurately through the target processing mode identification. For example, a tenant request sent by a tenant user may be a request for applying for 10G of memory resources, but a tenant request grant instruction fed back after being checked and approved by an administrator only grants 5G of memory resources, and at this time, the background server 102 may use the 5G of memory resources as a target processing identifier, and use allocated 5G of memory resources as first response indication information to indicate the big data processing platform 104 to respond to the allocation request of the 5G of memory, so as to improve the accuracy of tenant request management of the power system.
Further, the tenant request agreement instruction also carries a priority identifier; the backend server 102 is further configured to: determining the sending priority of the first response indicating information according to the priority mark in the tenant request agreement instruction; determining the sending sequence of the first response indication information and the tenant request according to the sending priority; and sending the first response indication information and the tenant request to the big data processing platform 104 according to the sending sequence.
The priority identifier is used to identify a sending order for sending the first response indication information and the tenant request from the backend server 102 to the big data processing platform 104, and the backend server 102 may preferentially send the first response indication information corresponding to the tenant request approval instruction with high priority to the big data processing platform 104. Generally, the order of sending the first response indication information by the background server 102 is according to the time sequence of receiving the tenant request agreement instruction, and if there is a tenant request agreement instruction with a high priority, the first response indication information corresponding to the tenant request agreement instruction with the high priority is preferentially sent, so that the big data processing platform 104 performs a preferential response, and if there are a plurality of tenant request agreement instructions with the same high priority, the corresponding first response indication information is sent according to the time sequence of receiving.
For example: the background server 102 receives 3 tenant request grant instructions, which are respectively 8: 10, no priority, 8: 20, high priority and 8: 30, high priority, the sequence of the first response indication information sent at this time is respectively 8: 20, high priority, 8: 30, high priority and 8: 10, no priority. In the embodiment, by setting the priority, the big data processing platform 104 can respond preferentially when some tenant requests need to be responded rapidly, thereby further improving the efficiency of multi-tenant data processing of the power system.
In one embodiment, the background server 102 is further configured to extract the request rejection reason information from the tenant request rejection instruction and send the request rejection reason information to the tenant front end 101 if the tenant request feedback instruction is the tenant request rejection instruction.
The tenant request rejection instruction includes request rejection reason information, and the request rejection reason information is used for representing a reason for rejecting the tenant request and is generated by the administrator front end 103. Specifically, after the administrator front-end 103 receives the tenant request sent by the backend server 102, if the administrator does not agree with the tenant request, the reason why the request is rejected needs to be filled, for example, the application content may not be compliant. After obtaining the reason for rejecting the request, the administrator front end 103 generates request rejection reason information according to the reason for rejecting the request, and sends the request rejection reason information to the background server 102 as a part of the tenant request rejection instruction. The background server 102 may extract the request rejection reason information from the tenant request rejection instruction and feed it back to the tenant front end 101.
In one embodiment, the administrator front-end 103 is further configured to obtain an administrator request initiated by an administrator account, and send the administrator request to the backend server 102; the background server 102 is further configured to obtain second response indication information corresponding to the administrator request, and send the second response indication information and the administrator request to the big data processing platform 104; the big data processing platform 104 is further configured to receive second response indication information and an administrator request, respond to the administrator request according to the second response indication information, and feed back a second response result to the background server 102.
The second response indication information is response indication information generated by the backend server 102 according to the request of the administrator. Specifically, an administrator may log in an administrator account through the administrator front end 103 to input an administrator request, for example, may request to reclaim memory resources of a tenant, and the administrator front end 103 sends the administrator request to the backend server 102 after receiving the administrator request. The background server 102 generates corresponding second response indication information after receiving the administrator request, and sends the second response indication information and the administrator request to the big data processing platform 104 by calling the big data interface, and the big data processing platform 104 can respond to the administrator request according to the second response indication information, thereby directly processing the administrator request of the power system.
In an embodiment, a multi-tenant data processing method of an electric power system is further provided, and the method may be implemented based on a background server of the electric power system as described in any one of the above embodiments, as shown in fig. 2, fig. 2 is a schematic flow chart of the multi-tenant data processing method of the electric power system in an embodiment, which is described by taking an example that the method is applied to the background server 102 shown in fig. 1, and the method may include the following steps:
step S201, the background server 102 acquires and stores the tenant request sent by the tenant front end 101, and sends the tenant request to the administrator front end 103, for triggering the administrator front end 103 to acquire a tenant request feedback instruction for the tenant request, and sends the tenant request feedback instruction to the background server 102;
step S202, the background server 102 receives a tenant request feedback instruction sent by the administrator front end 103;
in step S203, if the tenant request feedback instruction is the tenant request agreement instruction, the background server 102 acquires first response indication information corresponding to the tenant request agreement instruction, and sends the first response indication information and the tenant request to the big data processing platform 104, where the first response indication information is used to indicate the big data processing platform 104 to respond to the tenant request according to the first response indication information, and feeds back a first response result to the background server 102.
In the multi-tenant data processing method of the power system, the background server 102 acquires and stores a tenant request sent by the tenant front end 101, and sends the tenant request to the administrator front end 103, so as to trigger the administrator front end 103 to acquire a tenant request feedback instruction for the tenant request, and send the tenant request feedback instruction to the background server 102; receiving a tenant request feedback instruction sent by the administrator front end 103; if the tenant request feedback instruction is the tenant request agreement instruction, first response indication information corresponding to the tenant request agreement instruction is obtained, the first response indication information and the tenant request are sent to the big data processing platform 104, the big data processing platform 104 is instructed to respond to the tenant request according to the first response indication information, and a first response result is fed back to the background server 102. According to the method, the efficiency of multi-tenant data processing of the power system is improved by constructing a system architecture for data interaction between the multi-tenant model and the big data processing platform.
In one embodiment, the multi-tenant data processing method of the power system further includes: the background server 102 acquires a big data multi-tenant model of the power system; decomposing a big data multi-tenant model of the power system into a tenant model, an authority model and a resource model; and respectively constructing a sub multi-tenant model, an authority multi-tenant model and a resource multi-tenant model according to the tenant model, the authority model and the resource model.
According to the embodiment, the multi-tenant model is decomposed into the tenant model, the authority model and the resource model, the tenant model can be used for monitoring and managing tenant users, the authority model can be used for setting the authority of the tenant users, the resource model can be used for distributing the resources of the tenant users, and the sub multi-tenant model, the authority multi-tenant model and the resource multi-tenant model corresponding to the tenant model, the authority model and the resource model are reconstructed respectively, so that tenant resource isolation and unified management and control are achieved, and the management efficiency of the power system is improved.
In an embodiment, the tenant requests that the grant instruction carries the processing mode identifier, and step S203 further includes: extracting a processing mode identifier from the tenant request agreement instruction; extracting first response indication information corresponding to the processing mode identification from a response indication information base according to a corresponding relation between the pre-established processing mode identification and the first response indication information; the response indication information base comprises a plurality of response indication information corresponding to a plurality of processing mode identifications.
Further, the tenant request agreement instruction also carries a priority identifier, and step S203 further includes: the background server 102 determines the sending priority of the first response indicating information according to the priority identifier in the tenant request agreement instruction; determining the sending sequence of the first response indication information and the tenant request according to the sending priority; and sending the first response indication information and the tenant request to the big data processing platform 104 according to the sending sequence.
In one embodiment, the multi-tenant data processing method of the power system further includes: if the tenant request feedback instruction is a tenant request rejection instruction, the background server 102 extracts request rejection reason information from the tenant request rejection instruction and sends the request rejection reason information to the tenant front end 101.
In one embodiment, the multi-tenant data processing method of the power system further includes: the background server 102 acquires an administrator request; the administrator request is initiated by an administrator account entry at the administrator front end 103; and acquiring second response indication information corresponding to the administrator request, sending the second response indication information and the administrator request to the big data processing platform 104, instructing the big data processing platform 104 to respond to the administrator request according to the second response indication information, and feeding back a second response result to the background server 102.
An application example of a multi-tenant data processing method of an electric power system is provided as follows, as shown in fig. 3, fig. 3 is a schematic flow diagram of the multi-tenant data processing method in the application example, and specifically includes the following steps:
step s31, acquiring a power big data multi-tenant model;
step s32, the multi-tenant model is decomposed into a tenant model, an authority model and a resource model, that is, which users use what components (e.g., Hive, HBase, Yarn, etc.), how many resources (memory, CPU, storage space, etc.) are allocated, and which authorities (data of Hive table and HBase table can be read and written).
Step s33, the multi-tenant model is automatically configured.
In an application example, a structure for automatically configuring a multi-tenant model is further provided, as shown in fig. 4, fig. 4 is a schematic diagram of the structure of the multi-tenant model in an application example, and the following functions may be implemented:
tenant management: and creating and managing basic information of the tenants, allocating computing resources and storage resources for the tenants, and allocating corresponding authority models for the tenants. The use condition of the tenant resources comprises the use condition of the current cpu and the memory resources and the historical use condition, the occupation and the idle condition of the storage resources, the operation condition of the tenant and the like.
And (3) authority management: corresponding permission models are configured aiming at file and directory operations and MR job submission in a hive base table, an hbase table and an hdfs file system, and the models are distributed to corresponding tenants to enable the tenants to have different permissions of creating, modifying, inquiring and the like aiming at different objects.
Resource management: designing a resource pool for granularity based on the cpu and the memory, and configuring parameters such as exclusive resource amount, shared resource amount, preemption time, resource weight and the like for the resource pool. And monitoring the service condition of each resource pool of the whole platform, and dynamically adjusting the resource allocation to fully utilize the capacity of the big data platform.
Fig. 5 is a system architecture diagram of the multi-tenant data processing system of the power system in an application example, wherein an overall architecture adopts a springboot + log4j + shiro + include + Hbase + hdfs + yarn + live architecture.
The Springboot serves as a bottom-layer framework, the most stable springMVC framework is packaged, a plurality of annotation-based functions are added, and complex and tedious XML configuration files of springMVC are cancelled.
Log4j is used as a global Log system to record important Log information, and when a problem occurs, the problem can be found and solved on line.
And the Shiro is used as an authority verification system, pages for user control are displayed, and different pages are displayed according to different authorities.
Oracle acts as a data storage system for storing data.
The column-oriented database of Hbase runs on top of HDFS, which lacks random read and write operations, for which Hbase appears. HBase is blue with Google BigTable and stored in the form of key-value pairs. The object of the project is to quickly locate the required data in billions of rows of data in the host and access it, a NoSql database provides the function of reading and writing immediately like other databases, Hadoop cannot meet the real-time requirement, and HBase can meet the requirement. If some data needs to be accessed in real time, it is stored in Hbase.
The Yarn computing resource queue management mainly comprises the management of computing resources such as a memory, a CPU and the like.
Hive builds a data warehouse which is used as an off-line analysis index.
The Hdfs is used as a file system, stores log information generated by a user, original data of data analysis, and manages a file system target corresponding to a tenant, mainly the management of the disk capacity and the maximum number of files.
Based on the multi-tenant model and the system architecture of the multi-tenant data processing system of the power system, the following functions can be realized, including: the method comprises the following steps of key application and approval, resource modification, resource recovery, resource authority management, HDFS resource authority management, Hive/HBase resource authority management, cluster resource monitoring and tenant resource monitoring.
Taking the key application and approval as an example for explanation, as shown in fig. 6, fig. 6 is a schematic flow chart of the key application and approval in an application example, and includes the steps of:
step s61, the user enters a 'my workbench ═ my key', and clicks 'apply';
step s62, inputting application information, and then clicking 'confirm';
step s63, the administrator enters "user management ═ key management", approves the key application of the ordinary user, and executes pass or reject operation;
and step s64, after the administrator approves, the user can see the approved password in the interface of 'my workbench ═ my key', and the key can be downloaded.
And step s65, if the administrator refuses the key application of the user, the administrator enters the user management and key management, clicks refusal, and inputs refusal reasons.
The resource application and approval process is similar to the key application and approval process, and is not described herein again.
An application example of resource modification is also provided, as shown in fig. 7, fig. 7 is a schematic flow chart of resource modification in the application example, and includes the steps of:
step s71, the administrator enters "resource management ═ computing resource ═ management list", click "modify";
and step s72, the dynamic resource pool of the CM reallocates the resources of the queue after the modification is successful.
The processes of resource recovery, resource authority management, HDFS resource authority management and Hive/HBase resource authority management are similar to the process of resource modification, and are not described herein again.
The cluster resource monitoring is used for monitoring the resource use conditions of a cluster CPU, a memory and each resource pool, the tenant resource monitoring is used for monitoring the resource use conditions of each tenant, including resources such as the CPU, the memory and the like, and the cluster resource monitoring and the tenant resource monitoring can be carried out in a time period selection mode.
In an embodiment, a multi-tenant data processing apparatus of a power system is provided, and is applied to a background server 102 of the power system, referring to fig. 8, fig. 8 is a block diagram of a structure of the multi-tenant data processing apparatus of the power system in an embodiment, and the multi-tenant data processing apparatus of the power system may include:
the tenant request acquiring module 801 is configured to acquire and store a tenant request sent by the tenant front end 101, send the tenant request to the administrator front end 103, and trigger the administrator front end 103 to acquire a tenant request feedback instruction for the tenant request and send the tenant request feedback instruction to the background server 102;
a feedback instruction receiving module 802, configured to receive a tenant request feedback instruction sent by the administrator front end 103;
a first response sending module 803, configured to, if the tenant request feedback instruction is a tenant request agreement instruction, obtain first response indication information corresponding to the tenant request agreement instruction, and send the first response indication information and the tenant request to the big data processing platform, where the first response indication information is used to indicate the big data processing platform to respond to the tenant request according to the first response indication information, and feed back a first response result to the background server 102.
In one embodiment, the multi-tenant data processing apparatus of the power system further includes: the multi-tenant model configuration module is used for acquiring a big data multi-tenant model of the power system; decomposing a big data multi-tenant model of the power system into a tenant model, an authority model and a resource model; and respectively constructing a sub multi-tenant model, an authority multi-tenant model and a resource multi-tenant model according to the tenant model, the authority model and the resource model.
In one embodiment, the first response sending module 803 is further configured to extract the target processing manner identifier from the tenant request agreement instruction; extracting first response indication information corresponding to the target processing mode identifier from a response indication information base according to a corresponding relation between the pre-established processing mode identifier and the response indication information; the response indication information base comprises a plurality of response indication information corresponding to a plurality of processing mode identifications.
In one embodiment, the first response sending module 803 is further configured to determine a sending priority of the first response indication information according to a priority identifier in the tenant request agreement instruction; determining the sending sequence of the first response indication information and the tenant request according to the sending priority; and sending the first response indication information and the tenant request to the big data processing platform 104 according to the sending sequence.
In one embodiment, the multi-tenant data processing apparatus of the power system further includes: and the rejection information sending module is configured to extract the request rejection reason information from the tenant request rejection instruction and send the request rejection reason information to the tenant front end 101 if the tenant request feedback instruction is the tenant request rejection instruction.
In one embodiment, the multi-tenant data processing apparatus of the power system further includes: the second response sending module is used for acquiring the administrator request; the administrator request is initiated by an administrator account at the administrator front end 103; and acquiring second response indication information corresponding to the administrator request, sending the second response indication information and the administrator request to the big data processing platform 104, instructing the big data processing platform 104 to respond to the administrator request according to the second response indication information, and feeding back a second response result to the background server 102.
The multi-tenant data processing device of the power system corresponds to the multi-tenant data processing method of the power system one to one, and specific limitations on the multi-tenant data processing device of the power system can be referred to the above limitations on the multi-tenant data processing method of the power system. The modules in the multi-tenant data processing device of the power system can be wholly or partially implemented by software, hardware and a combination thereof. The modules can be embedded in a processor in a background server of the power system in a hardware form or independent of the power system, and can also be stored in a memory in the background server of the power system in a software form, so that the processor can call and execute the corresponding operations of the modules.
In one embodiment, a background server of a power system is provided, where the background server of the power system may be a server, and its internal structure diagram may be as shown in fig. 9. The background server of the power system comprises a processor, a memory and a network interface which are connected through a system bus. Wherein the processor of the background server of the power system is used to provide computing and control capabilities. The memory of the background server of the power system comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The network interface of the background server of the power system is used for being connected and communicated with an external terminal through a network. The computer program is executed by a processor to implement a multi-tenant data processing method of an electric power system.
Those skilled in the art will appreciate that the structure shown in fig. 9 is a block diagram of only a portion of the structure related to the present application, and does not constitute a limitation on the back-end server of the power system to which the present application is applied, and that a particular back-end server of the power system may include more or less components than those shown in the figure, or combine certain components, or have a different arrangement of components.
In one embodiment, a background server of an electric power system is provided, and includes a processor and a memory, where the memory stores a computer program, and the processor, when executing the computer program, implements the multi-tenant data processing method of the electric power system according to any one of the above embodiments.
According to the background server of the power system, a system framework for data interaction between the multi-tenant model and the big data processing platform is constructed through the computer program running on the processor, and the multi-tenant data processing efficiency of the power system is improved.
One of ordinary skill in the art will appreciate that all or part of the processes in the multi-tenant data processing method for implementing the power system according to any embodiment may be implemented by a computer program, which may be stored in a non-volatile computer-readable storage medium, for instructing related hardware to implement the processes of the embodiments of the method. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
Accordingly, in an embodiment, there is also provided a computer readable storage medium having a computer program stored thereon, wherein the program, when executed by a processor, implements the multi-tenant data processing method of the power system as described in any one of the above embodiments.
According to the computer readable storage medium, a system architecture for data interaction between the multi-tenant model and the big data processing platform is constructed through the stored computer program, and the multi-tenant data processing efficiency of the power system is improved.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.

Claims (10)

1. A multi-tenant data processing system of a power system, comprising: a multi-tenant model and a big data processing platform; the multi-tenant model comprises a tenant front end, an administrator front end and a background server; wherein the content of the first and second substances,
the tenant front end is used for acquiring a tenant request of a target tenant and sending the tenant request to the background server for storage;
the administrator front end is used for acquiring the tenant request stored by the background server and acquiring a tenant request feedback instruction aiming at the tenant request;
the administrator front end is further configured to send the tenant request feedback instruction to the background server;
the background server is used for acquiring first response indicating information corresponding to the tenant request agreement instruction if the tenant request feedback instruction is the tenant request agreement instruction, and sending the first response indicating information and the tenant request to the big data processing platform;
the big data processing platform is used for receiving the first response indicating information and the tenant request, responding to the tenant request according to the first response indicating information, and feeding back a first response result to the background server.
2. The system according to claim 1, wherein the tenant request agreement instruction carries a target processing mode identifier; the background server is further configured to:
extracting the target processing mode identification from the tenant request agreement instruction;
extracting first response indication information corresponding to the target processing mode identifier from a response indication information base according to a corresponding relation between a pre-established processing mode identifier and the response indication information; the response indication information base comprises a plurality of response indication information corresponding to a plurality of processing mode identifications.
3. The system according to claim 2, wherein the tenant request consent instruction further carries a priority identifier; the background server is further configured to:
determining the sending priority of the first response indicating information according to a priority identifier in the tenant request agreement instruction;
determining the sending sequence of the first response indication information and the tenant request according to the sending priority;
and sending the first response indication information and the tenant request to the big data processing platform according to the sending sequence.
4. The system of claim 1, wherein the background server is further configured to extract request rejection reason information from the tenant request rejection instruction and send the request rejection reason information to the tenant front end if the tenant request feedback instruction is a tenant request rejection instruction.
5. The system of claim 1,
the administrator front end is further configured to obtain an administrator request initiated by an administrator account, and send the administrator request to the background server;
the background server is further configured to obtain second response indication information corresponding to the administrator request, and send the second response indication information and the administrator request to the big data processing platform;
the big data processing platform is further configured to receive the second response indication information and the administrator request, respond to the administrator request according to the second response indication information, and feed back a second response result to the background server.
6. A multi-tenant data processing method of a power system is characterized by being applied to a background server of the power system and comprising the following steps:
the method comprises the steps of obtaining and storing a tenant request sent by a tenant front end, sending the tenant request to an administrator front end, triggering the administrator front end to obtain a tenant request feedback instruction aiming at the tenant request, and sending the tenant request feedback instruction to a background server;
receiving the tenant request feedback instruction sent by the administrator front end;
if the tenant request feedback instruction is a tenant request agreement instruction, first response indicating information corresponding to the tenant request agreement instruction is obtained, the first response indicating information and the tenant request are sent to the big data processing platform, the big data processing platform is used for indicating to respond to the tenant request according to the first response indicating information, and a first response result is fed back to the background server.
7. The method of claim 6, further comprising:
acquiring a big data multi-tenant model of the power system;
decomposing the big data multi-tenant model of the power system into a tenant model, an authority model and a resource model;
and respectively constructing a sub multi-tenant model, an authority multi-tenant model and a resource multi-tenant model according to the tenant model, the authority model and the resource model.
8. The method according to claim 6, wherein the tenant request consent instruction carries a processing mode identifier; the acquiring first response indication information corresponding to the tenant request agreement instruction comprises:
extracting the target processing mode identification from the tenant request agreement instruction;
extracting first response indication information corresponding to the target processing mode identifier from a response indication information base according to a corresponding relation between a pre-established processing mode identifier and the response indication information; the response indication information base comprises a plurality of response indication information corresponding to a plurality of processing mode identifications.
9. The method of claim 6, further comprising:
acquiring an administrator request; the administrator request is initiated by an administrator account at the administrator front end;
and second response indication information corresponding to the administrator request is obtained, the second response indication information and the administrator request are sent to the big data processing platform, the big data processing platform is used for indicating to respond to the administrator request according to the second response indication information, and a second response result is fed back to the background server.
10. The utility model provides a many tenants data processing apparatus of electric power system which characterized in that, is applied to electric power system's backend server, includes:
the tenant request acquisition module is used for acquiring and storing a tenant request sent by a tenant front end, sending the tenant request to an administrator front end, triggering the administrator front end to acquire a tenant request feedback instruction aiming at the tenant request, and sending the tenant request feedback instruction to the background server;
a feedback instruction receiving module, configured to receive the tenant request feedback instruction sent by the administrator front end;
and the first response sending module is used for acquiring first response indication information corresponding to the tenant request agreement instruction if the tenant request feedback instruction is the tenant request agreement instruction, sending the first response indication information and the tenant request to the big data processing platform, indicating the big data processing platform to respond to the tenant request according to the first response indication information, and feeding a first response result back to the background server.
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