CN105183820A - Multi-tenant supported large data platform and tenant access method - Google Patents
Multi-tenant supported large data platform and tenant access method Download PDFInfo
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- CN105183820A CN105183820A CN201510538231.2A CN201510538231A CN105183820A CN 105183820 A CN105183820 A CN 105183820A CN 201510538231 A CN201510538231 A CN 201510538231A CN 105183820 A CN105183820 A CN 105183820A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/25—Integrating or interfacing systems involving database management systems
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/21—Design, administration or maintenance of databases
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Abstract
The present invention discloses a multi-tenant supported large data platform and a tenant access method. The large data platform comprises: a hadoop cluster, a management module, and a unified login module, wherein the hadoop cluster is configured to deploy multiple services, the management module is arranged on the hadoop cluster, and is configured to manage a permission of an administrator for managing multi-tenant access data and/or resources, and the unified login module is configured to log in and access the hadoop cluster by multiple tenants. According to the present invention, multiple services are uniformly deployed on one cluster, and the management module and the unified login module are set on the hadoop cluster, to implement a multi-tenant mode of the hadoop cluster. The unified large data platform is simultaneously used by multiple tenants, a unified dispatch platform is established, and unified management of data is implemented, so as to fundamentally resolve a problem of imbalanced utilization of small clusters because each existing type of jobs or services corresponds to an individual cluster.
Description
Technical field
The present invention relates to large data technique field, particularly a kind of large data platform and tenant's access method supporting many tenants.
Background technology
At large data age, in order to Storage and Processing mass data, need larger server cluster, in general, these clusters run the numerous and disorderly application program of One's name is legion type and service, such as off-line operation, streaming operation, iterative operation etc., traditional way is, the operation of every type or the corresponding independent cluster of service, to avoid mutual interference.Like this, cluster is divided into the little cluster of One's name is legion, and the stock number needed due to dissimilar operation/service is different, and the utilization factor of these little clusters is usually very unbalanced, some clusters are at full capacity, resource is nervous, other then for a long time idle, resource utilization is extremely low.
Thus prior art need to improve.
Summary of the invention
The technical problem to be solved in the present invention is, for the deficiencies in the prior art, a kind of large data platform and the tenant's access method of supporting many tenants are provided, it can solve the operation of existing every type or serve the independent cluster of correspondence one, and the unbalanced problem of utilization factor of the little cluster caused.
In order to solve the problems of the technologies described above, the technical solution adopted in the present invention is as follows:
Support a many tenants' large data platform, it comprises: hadoop cluster, administration module and login module;
Described hadoop cluster is for disposing multiple business;
Described administration module is arranged in hadoop cluster, for verifying that tenant accesses the authority of hadoop, and carries out corresponding operating according to described authority;
Described login module, for obtaining tenant's logging request, verifies tenant's information.
Described login module is for managing tenant's service data, submitting task requests to and check Task Progress.
Described administration module comprises: authority management module, task scheduling modules and resource management module;
Described authority management module, for managing the authority of many tenants, authorizes according to different tenant, and system manager configures the corresponding relation of tenant and data, tenant and application;
Described task scheduling modules, for the scheduling rule of Administrator task, performs task according to task scheduling rule, and the implementation status of monitor task;
Described resource management module, distributes cluster resource for system manager according to tenant, uses storage resources and computational resource between many tenants by distributing.
Described resource management module also for divide for many tenants independently storage space to realize the data isolation between tenant, by the data information memory of each tenant in independently storage space, the change of each tenant data model can not affect the data of other tenants.
Described authority management module also arranges authority for being delegated to different keeper to different pieces of information collection.
A kind of tenant accesses large data platform method, and described tenant accesses above-mentioned large data platform, and it specifically comprises:
A, tenant log in hadoop cluster by unified login module;
After B, tenant login successfully, send task requests to hadoop cluster;
Whether the authority management module checking tenant of C, administration module has the authority that the authority of the data that access task is used and use task use resource;
D, tenant, by after checking, hadoop cluster are executed the task.
Described step C, it is specially:
Whether the authority management module checking tenant of C1, administration module has the authority of the data that access task is used;
C2, have visit data authority as tenant, whether the authority management module checking tenant of administration module has the authority that use task uses resource.
Beneficial effect: compared with prior art, the large data platform of the many tenants of support provided by the present invention, it comprises: hadoop cluster, administration module and unified login module; Described hadoop cluster is for disposing multiple business; Described administration module is arranged in hadoop cluster, and for the authority of Admin Administration many tenants visit data and resource, described unified login module is used for many tenants sign-on access hadoop cluster.Multiple uniform service is deployed on a cluster by this method, by arranging administration module and unified login module in hadoop cluster, realize many tenants pattern of hadoop cluster, allow many tenants use unified large data platform simultaneously, set up unified dispatching platform, achieve the unitized management of data.Fundamentally solve the operation of existing every type or serve the independent cluster of correspondence one, and the unbalanced problem of utilization factor of the little cluster caused.
Accompanying drawing explanation
Fig. 1 the invention provides the large data platform schematic diagram supporting many tenants.
Fig. 2 the invention provides the large data platform specific embodiment schematic diagram supporting many tenants.
Fig. 3 is the process flow diagram that tenant accesses large data platform.
Embodiment
The invention provides a kind of large data platform and the tenant's access method of supporting many tenants, for making object of the present invention, technical scheme and effect clearly, clearly, developing simultaneously referring to accompanying drawing, the present invention is described in more detail for embodiment.Should be appreciated that specific embodiment described herein only in order to explain the present invention, be not intended to limit the present invention.
Below in conjunction with accompanying drawing, by the description to embodiment, summary of the invention is described further.
Refer to Fig. 1, Fig. 1 the invention provides a kind of large data platform schematic diagram supporting many tenants.Described platform comprises: hadoop cluster, administration module and login module; Described hadoop cluster is for disposing multiple business; Described administration module is arranged in hadoop cluster, for verifying that tenant accesses the authority of hadoop, and carries out corresponding operating according to described authority; Described login module, for obtaining tenant's logging request, verifies tenant's information.
In the present embodiment, described hadoop cluster is single cluster, and by multiple service deployment on cluster, it can meet the different demands of multiple tenant.Multiple business can be several work mode, also can be multiple services etc.Here do not limit, only for operating type, it can be off-line operation, streaming operation, iterative operation etc.
Further, described login module is for managing tenant's service data, submitting task requests to and check Task Progress etc.Tenant by login module after login, can submit task requests to, operation common data and query task progress; Can also feed back Task Progress and interpellation etc.
In the present embodiment, described administration module comprises: authority management module, task scheduling modules and resource management module.Described authority management module, for managing the authority of many tenants, authorizes according to different tenant, and system manager configures the corresponding relation of tenant and data, tenant and application; Described task scheduling modules, for the scheduling rule of Administrator task, performs task according to task scheduling rule, and the implementation status of monitor task; Described resource management module, distributes cluster resource for system manager according to tenant, uses storage resources and computational resource between many tenants by distributing.Wherein, described system manager configures the corresponding relation of tenant and data, tenant and application, system according to the authority of tenant, for tenant configures corresponding data and application, can be higher according to the authority of tenant, the data that can access and the more relation of resource carry out correspondence.Like this, the access rights of many tenants can be verified by administration module, call corresponding data and resource according to its access rights; Make different tenant can by the restriction of administration module, same hadoop cluster completes different business, achieve many tenants pattern of hadoop cluster, allow many tenants use unified large data platform simultaneously, and limited by administration module, for large data platform provides the guarantee of safety and stability.
Further, the different pieces of information collection of described authority management module also for being delegated to different keeper arranges authority.
Further, described task scheduling modules also carries out the data encrypting and deciphering of bit-level for tenant's home zone for system manager, provides and unifies protection to business software, business datum, ensure the security of the peculiar data of each tenant.The security of such guarantee tenant data.
Further, described resource management module also for divide for many tenants independently storage space to realize the data isolation between tenant, by the data information memory of each tenant in independently storage space, the change of each tenant data model can not affect the data of other tenants.Like this, ensure that the data of each tenant are mutually isolated, store separately; Achieve many tenants to execute the task in a hadoop cluster, have and do not interact each other, namely the change of each tenant data model can not affect the data of other tenants simultaneously.
In order to understand further, described support is branched holds large data platform, and the application provides a specific embodiment to be illustrated.As shown in Figure 2, described large data platform comprises: log in layer, administration and supervision authorities and operation layer, described login layer is unified modules, and described tenant is logged in by unified modules and to operation layer transmit operation request; Described operation layer is a hadoop cluster, and the multiple business of described hadoop cluster deploy, meets the requirement of multiple tenant simultaneously.Be administration and supervision authorities between described login layer and operation layer, described administration and supervision authorities are for managing the scheduling of the authority of tenant, data management, resource management and task.
Particularly, described administration and supervision authorities comprise: application management and control module, data management and control module, task management and control module and resource management and control module.
Described application management and control module is used for application management, application is authorized, application daily record and applied statistics analysis etc.
Described data management and control module is used for management of metadata storage, the quality of data, access right and data life period etc., ensures the mutually isolated of data between each tenant and environment and is independent of each other mutually.
Described task management and control module is used for task management, task scheduling and Mission Monitor; Meet all kinds of difference demands of many tenants.
Described CPU management and control, internal memory management and control, network management and control and storage management and control, its for many tenants divide independently storage space to realize the data isolation between tenant, by the data information memory of each tenant in independently storage space, the change of each tenant data model can not affect the data of other tenants; Ensure that the application under each tenant has independently running space.
The present invention also provides a kind of tenant to access large data platform method, and described tenant accesses above-mentioned large data platform, and as shown in Figure 3, it specifically comprises:
S1, tenant send the request of login hadoop cluster by login module to administration module;
After S2, tenant login successfully, send task requests to hadoop cluster;
Whether the authority management module checking tenant of S3, administration module has the authority that the authority of the data that access task is used and use task use resource;
S4, tenant, by after checking, hadoop cluster are executed the task.
Described step S3, it is specially:
Whether the authority management module checking tenant of S31, administration module has the authority of the data that access task is used;
S32, after tenant has visit data authority, whether the authority management module of administration module checking tenant has the authority that use task uses resource.
Above-mentioned unit module of accessing large data platform method based on tenant is all described in detail in the above-mentioned methods, has just repeated no more here.
Be understandable that, for those of ordinary skills, can be equal to according to technical scheme of the present invention and inventive concept thereof and replace or change, and all these change or replace the protection domain that all should belong to the claim appended by the present invention.
Claims (7)
1. support a many tenants' large data platform, it is characterized in that, it comprises: hadoop cluster, administration module and login module;
Described hadoop cluster is for disposing multiple business;
Described administration module is arranged in hadoop cluster, for verifying that tenant accesses the authority of hadoop, and carries out corresponding operating according to described authority;
Described login module, for obtaining tenant's logging request, verifies tenant's information.
2. the large data platform of the many tenants of support according to claim 1, is characterized in that, described login module is for managing tenant's service data, submitting task requests to and check Task Progress.
3. the large data platform of the many tenants of support according to claim 1, is characterized in that, described administration module comprises: authority management module, task scheduling modules and resource management module;
Described authority management module, for managing the authority of many tenants, authorizes according to different tenant, and system manager configures the corresponding relation of tenant and data, tenant and application;
Described task scheduling modules, for the scheduling rule of Administrator task, performs task according to task scheduling rule, and the implementation status of monitor task;
Described resource management module, distributes cluster resource for system manager according to tenant, uses storage resources and computational resource between many tenants by distributing.
4. the large data platform of the many tenants of support according to claim 3, it is characterized in that, described resource management module also for divide for many tenants independently storage space to realize the data isolation between tenant, by the data information memory of each tenant in independently storage space, the change of each tenant data model can not affect the data of other tenants.
5. the large data platform of the many tenants of support according to claim 3, is characterized in that, the different pieces of information collection of described authority management module also for being delegated to different keeper arranges authority.
6. tenant accesses a large data platform method, described tenant's access large data platform as arbitrary in claim 1-6, and it specifically comprises:
A, tenant log in hadoop cluster by unified login module;
After B, tenant login successfully, send task requests to hadoop cluster;
Whether the authority management module checking tenant of C, administration module has the authority that the authority of the data that access task is used and use task use resource;
D, tenant, by after checking, hadoop cluster are executed the task.
7. tenant according to claim 6 accesses large data platform method, it is characterized in that, described step C is specially:
Whether the authority management module checking tenant of C1, administration module has the authority of the data that access task is used;
C2, after tenant has visit data authority, whether the authority management module of administration module checking tenant has the authority that use task uses resource.
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Cited By (21)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105871906A (en) * | 2016-05-26 | 2016-08-17 | 汉柏科技有限公司 | Multi-tenant safety service management method and security gateway |
| CN106569895A (en) * | 2016-10-24 | 2017-04-19 | 华南理工大学 | Construction method of multi-tenant big data platform based on container |
| CN106599294A (en) * | 2016-12-27 | 2017-04-26 | 山东开创云软件有限公司 | Distributed multi-tenant WEB page operation search engine construction platform |
| CN106790026A (en) * | 2016-12-15 | 2017-05-31 | 国家计算机网络与信息安全管理中心 | A kind of multi-tenant Dropbox method for authenticating and system based on Hadoop |
| CN106921512A (en) * | 2015-12-28 | 2017-07-04 | 中移(苏州)软件技术有限公司 | A kind of large data sets group rental family band width control method and device |
| CN107066867A (en) * | 2017-03-11 | 2017-08-18 | 郑州云海信息技术有限公司 | A kind of big data cluster resource allocation methods and device |
| CN108132775A (en) * | 2016-11-30 | 2018-06-08 | 新华三技术有限公司 | A kind of tenant manages system and method |
| CN109213633A (en) * | 2018-08-23 | 2019-01-15 | 四川精容数安科技有限公司 | A kind of the Admin Administration's method, apparatus and its system of multi-tenant |
| CN109656879A (en) * | 2018-12-13 | 2019-04-19 | 深圳前海微众银行股份有限公司 | Big data method for managing resource, device, equipment and storage medium |
| CN109992416A (en) * | 2019-03-20 | 2019-07-09 | 跬云(上海)信息科技有限公司 | Multi-tenant method of servicing and device based on precomputation OLAP model |
| CN111209107A (en) * | 2019-12-26 | 2020-05-29 | 中科曙光国际信息产业有限公司 | Multi-cluster operation method |
| CN111259378A (en) * | 2020-01-08 | 2020-06-09 | 中国建设银行股份有限公司 | Multi-tenant management system and implementation method thereof |
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| CN111752539A (en) * | 2020-06-28 | 2020-10-09 | 中国银行股份有限公司 | BI service cluster system and building method thereof |
| CN112311830A (en) * | 2019-07-31 | 2021-02-02 | 华为技术有限公司 | Cloud storage-based Hadoop cluster multi-tenant authentication system and method |
| CN113132295A (en) * | 2019-12-30 | 2021-07-16 | 北京懿医云科技有限公司 | Method and device for accessing extranet by cluster intranet, storage medium and electronic equipment |
| CN113239344A (en) * | 2021-05-12 | 2021-08-10 | 建信金融科技有限责任公司 | Access right control method and device |
| US11102188B2 (en) | 2016-02-01 | 2021-08-24 | Red Hat, Inc. | Multi-tenant enterprise application management |
| CN113515377A (en) * | 2021-06-07 | 2021-10-19 | 广发银行股份有限公司 | Cross-platform big data resource management system and method |
| CN113542419A (en) * | 2021-07-16 | 2021-10-22 | 深圳银兴智能数据有限公司 | Cross-platform multi-tenant management and control system |
| CN115412566A (en) * | 2021-05-27 | 2022-11-29 | 中移动信息技术有限公司 | Big data multi-cluster management method and device, electronic equipment and storage medium |
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| CN106921512A (en) * | 2015-12-28 | 2017-07-04 | 中移(苏州)软件技术有限公司 | A kind of large data sets group rental family band width control method and device |
| US11102188B2 (en) | 2016-02-01 | 2021-08-24 | Red Hat, Inc. | Multi-tenant enterprise application management |
| CN105871906A (en) * | 2016-05-26 | 2016-08-17 | 汉柏科技有限公司 | Multi-tenant safety service management method and security gateway |
| CN106569895A (en) * | 2016-10-24 | 2017-04-19 | 华南理工大学 | Construction method of multi-tenant big data platform based on container |
| CN106569895B (en) * | 2016-10-24 | 2020-12-22 | 华南理工大学 | Container-based multi-tenant big data platform construction method |
| CN108132775A (en) * | 2016-11-30 | 2018-06-08 | 新华三技术有限公司 | A kind of tenant manages system and method |
| CN108132775B (en) * | 2016-11-30 | 2021-04-09 | 新华三技术有限公司 | Tenant management system and method |
| CN106790026A (en) * | 2016-12-15 | 2017-05-31 | 国家计算机网络与信息安全管理中心 | A kind of multi-tenant Dropbox method for authenticating and system based on Hadoop |
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| CN107066867A (en) * | 2017-03-11 | 2017-08-18 | 郑州云海信息技术有限公司 | A kind of big data cluster resource allocation methods and device |
| CN109213633A (en) * | 2018-08-23 | 2019-01-15 | 四川精容数安科技有限公司 | A kind of the Admin Administration's method, apparatus and its system of multi-tenant |
| CN109656879A (en) * | 2018-12-13 | 2019-04-19 | 深圳前海微众银行股份有限公司 | Big data method for managing resource, device, equipment and storage medium |
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| CN111259378B (en) * | 2020-01-08 | 2023-04-07 | 建信金融科技有限责任公司 | Multi-tenant management system and implementation method thereof |
| CN111428256A (en) * | 2020-03-30 | 2020-07-17 | 北京东方金信科技有限公司 | Big data platform multi-tenant management system |
| CN111428256B (en) * | 2020-03-30 | 2023-05-05 | 北京东方金信科技股份有限公司 | Multi-tenant management system of big data platform |
| CN111752539B (en) * | 2020-06-28 | 2024-02-23 | 中国银行股份有限公司 | BI service cluster system and construction method thereof |
| CN111752539A (en) * | 2020-06-28 | 2020-10-09 | 中国银行股份有限公司 | BI service cluster system and building method thereof |
| CN113239344B (en) * | 2021-05-12 | 2023-05-05 | 中国建设银行股份有限公司 | Access right control method and device |
| CN113239344A (en) * | 2021-05-12 | 2021-08-10 | 建信金融科技有限责任公司 | Access right control method and device |
| CN115412566A (en) * | 2021-05-27 | 2022-11-29 | 中移动信息技术有限公司 | Big data multi-cluster management method and device, electronic equipment and storage medium |
| CN113515377A (en) * | 2021-06-07 | 2021-10-19 | 广发银行股份有限公司 | Cross-platform big data resource management system and method |
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