CN105912597A - Method for storing structural data of tenants in multi-tenant database - Google Patents
Method for storing structural data of tenants in multi-tenant database Download PDFInfo
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- CN105912597A CN105912597A CN201610206330.5A CN201610206330A CN105912597A CN 105912597 A CN105912597 A CN 105912597A CN 201610206330 A CN201610206330 A CN 201610206330A CN 105912597 A CN105912597 A CN 105912597A
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- 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
- G06F16/22—Indexing; Data structures therefor; Storage structures
- G06F16/2282—Tablespace storage structures; Management thereof
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Abstract
The invention relates to a method for storing structural data of tenants in a multi-tenant database. The method comprises following steps: (1) setting a structural data model: the structural data model is composed of a basic data model, an extended table data model, a key value pair data model; the basic data mode is used for storing basic information of tenants, the extended table data model is used for storing extended information on basic information of tenants; the key value pair data model is used for storing customized list information of tenants; (2) classifying tenants: classifying tenants of a multi-tenant application based on data types generated by tenants; (3) storing tenant data: utilizing different data models of the structural data model for storage to different types of data generated by tenants based on the classification result. The embodiment of the method for storing structural data of tenants in the multi-tenant database is capable of effectively storing basic data and customized data of tenants and helps to satisfy the interests of providers while meeting the needs of tenants.
Description
Technical field
The present invention relates to cloud computing applied technical field, a kind of in multi-tenant database, store tenant's structural data
Method.
Background technology
Cloud computing is the most emerging a kind of delivery service pattern, provides user institute by network with on-demand, easy extension way
The resource needed or service.Software as a Service (SaaS), i.e. software i.e. services, and is the big base form of cloud computing three
One of, its various application are by being deployed in data center in service provider's Unified Set, user can temporally wait demand, passes through Web
Browser or Web client access corresponding service, to carry out on-demand use, have the biggest motility.
In order to reach benefit, SaaS application service provider uses many tenants (Muti-Tenant) technology, it would be desirable to use
The tenant of same or like SaaS service uses same application example so that it is produce certain scale effect.We are employing
Many tenants technology is referred to as SaaS many tenants application with the application that SaaS mode is run.
In the many tenants of SaaS apply, according to data sharing degree, the data of different tenants can be divided into two big classes: the first kind
It is basic data, mainly includes basic data metadata and basic data Value Data, basic data model can be used to store,
The service used for realizing all tenants to be required for;Another kind of is self-defining data, and it includes user-defined data table and custom field,
For realizing tenant's individual demand.
Wherein, the self-defined demand of each tenant cannot be predicted in advance due to data base designer, and the personalization of each tenant
Need the most different so that self-defining data motility is the biggest.Storage method of the prior art or the most all have one
Fixed limitation, it is impossible to meet tenant's structural data memory requirement, therefore, need a kind of new method badly, meet tenant's
Structural data storage demand.
Summary of the invention
It is an object of the invention to a kind of method storing tenant's structural data in multi-tenant database, can effectively store rent
The basic data at family and self-defining data, while reaching tenant's demand, meet the interests of service supplier.
In order to realize foregoing invention purpose, the technical solution adopted in the present invention is as follows:
Embodiments provide a kind of method storing tenant's structural data in multi-tenant database, including:
(1) structural data model is set:
Described structural data model is made up of basic data model, expansion table data model and key-value pair data model;
Described basic data model is for storing the Back ground Information of tenant, and described expansion table data model is used for storing tenant basis letter
The expansion information of breath, described key-value pair data model is for storing the user-defined data table information of tenant;
(2) classification tenant:
Tenant during many tenants are applied by the data type produced according to tenant classifies;
(3) storage tenant data:
According to the result of classification, the data that different types of tenant is produced, use the different pieces of information mould in structural data model
Type stores.
As a kind of specific embodiment, described basic data model comprises tenant's table and multiple Back ground Information tables.
As a kind of specific embodiment, described expansion packetization includes expansion field data and expands field metadata.
As a kind of specific embodiment, described expansion table data model comprises a Zhang Tuo and opens up tables of data and a Zhang Tuo opens up field unit number
According to table.
As a kind of specific embodiment, described user-defined data table information includes table metadata information, field metadata information and value number
It is believed that breath.
As a kind of specific embodiment, described key-value pair data model comprises a table metadata table, a field metadata table
With a Value Data table.
As a kind of specific embodiment, the tenant during many tenants are applied by the described data type produced according to tenant classifies
Particularly as follows:
The tenant only producing basic data is defined as the first tenant;
The tenant producing basic data and custom field data is defined as the second tenant;
The tenant producing basic data, user-defined data table data and custom field data is defined as the 3rd tenant.
As a kind of specific embodiment, the described result according to classification, the data that different types of tenant is produced, use knot
Different pieces of information model in structure data model carry out storing particularly as follows:
Basic data model is used to store the basic data that the first tenant produces;
Use basic data model to store the basic data that the second tenant produces, use expansion table data model to store the second tenant and produce
Raw custom field data;
The basic data using basic data model storage the 3rd tenant to produce, uses expansion table data model storage the 3rd tenant to produce
Raw custom field data, use the user-defined data table data that key-value pair data model storage the 3rd tenant produces.
Compared with prior art, the technical scheme that the present invention provides has the advantages that
The method storing tenant's structural data in multi-tenant database that embodiment of the present invention provides, by arranging structuring
Data model, this models coupling basic data model, expansion table data model and key-value pair data model, overcome single
The model shortcoming when storing multi-tenant data, can effectively store basic data and the self-defining data of tenant, reach tenant
While demand, meet the interests of service supplier.
Accompanying drawing explanation
Fig. 1 is the logical architecture figure of many tenants Course Website group's application system of the embodiment of the present invention;
Fig. 2 is the flow chart of an embodiment of the method described in the embodiment of the present invention;
Fig. 3 is that the embodiment of the present invention illustrates tenant's information data and each tenant in many tenants Course Website application system
The logical storage structure of user profile data.
Detailed description of the invention
In order to be fully understood from the purpose of the present invention, feature and effect, below with reference to accompanying drawing 1-3 to the design of the present invention, tool
The technique effect of body structure and generation is described further.
The present embodiment, as a example by Course Website group's application system with multi-tenant architecture, this system using a branch of instruction in school as
One tenant, the soft and hardware resource of shared system between multiple tenants, it is divided into three big assemblies, background system, foreground system
And data base, this application system logical architecture refers to Fig. 1, from figure 1 it appears that this system includes ftp server (File
Transfer Protocol Server) 101, content management server 102, web application server 103, database server 104,
And external user 105 and internal user 106.Wherein, present invention is mainly applied on data base.
As in figure 2 it is shown, present embodiments provide a kind of method storing tenant's structural data in multi-tenant database, including:
Step 201: structural data model is set
Described structural data model is made up of basic data model, expansion table data model and key-value pair data model.
Wherein, described basic data model is for storing the Back ground Information of tenant, and basic data model arranges two tables, a rent
Family table and multiple Back ground Information tables.Wherein, tenant's table (tenant_info) arranges tenant_id (tenant ID, major key), name (name
Word), telephone (phone), address (address) and email (E-mail address) field, user's table (user_info) is arranged
User_id (ID, major key), tenant_id (tenant id, external key), ext_data_id (expansion field id, external key), name
(name), age (age) and telephone (phone) field.
Described expansion table data model is for storing the expansion information of tenant's Back ground Information, and described expansion information includes expanding Field Count
According to expand field metadata.Expanding data model to need to arrange two tables, a Zhang Tuo opens up tables of data and a Zhang Tuo opens up field unit number
According to table.Wherein, expanding tables of data (ext_data) and arrange ext_data_id (expanding data ID, major key), ext_col_id (opens up
Exhibition row ID, external key) and expand data value (value) field, expand field metadata table (ext_column_metadata) and set
Put ext_col_id (expanding row ID, major key), tenant_id (tenant ID, external key), name (column name) and type (row
Data type) field.
Described key-value pair data model is for storing the user-defined data table information of tenant, and described user-defined data table information includes that table metadata is believed
Breath, field metadata information and Value Data information, described key-value pair data model needs to arrange three tables, comprises a list cell number
According to table, a field metadata table and a Value Data table.Wherein, table metadata table (table_matadata) arranges id (table
ID, major key), tenant_id (tenant ID, external key), whether name (table name), enabled (come into force), and (table describes info
Information) field, field metadata table (column_metadata) arranges col_id (row ID, major key), tenant_id (tenant
ID, external key), table_id (table id, external key), name (row name), type (field data types), (field is long for length
Degree), null (can be null), def_v (default value), enabled (whether coming into force) and info (row description information) field,
Value Data table (data) arranges id (value ID, major key), tenant_id (tenant ID, external key), table_id (table id, external key),
Col_id (row ID, external key), value (field value) and info (value description information) field.As it is shown on figure 3, after for arranging
Structural data model BEKV.
Step 202: classification tenant
Tenant during many tenants are applied by the data type produced according to tenant classifies.The described data class produced according to tenant
Tenant during many tenants are applied by type classifies particularly as follows: the tenant only producing basic data is defined as the first tenant;To produce
The tenant of raw basic data and custom field data is defined as the second tenant;Will produce basic data, user-defined data table data and from
The tenant of defined word segment data is defined as the 3rd tenant.
Having three tenants A, B, C on the SaaS platform of the present embodiment, specifying information is as shown in the table:
Table 4-1 is tenant's information table (tenant_info)
tenant_id | name | telephone | address | |
001 | A | 13666666666 | Nanchang | pty@163.com |
002 | B | 13888888888 | ShenZhen,GuangDong | xy@163.com |
003 | C | 13999999999 | Beihai Fisheries Base Guangxi Province | abc@163.com |
Table 4-2 is the user message table (user_info) of tenant A
user_id | tenant_id | name | age | telephone |
100001 | 001 | Zhang Xi | 18 | 13677777777 |
100002 | 001 | Zhao Qi | 19 | 13688888888 |
Table 4-3 is the user message table (user_info_B) of tenant B
user_id | tenant_id | name | age | telephone | sex | |
200001 | 002 | Zhao Zhong | 20 | 13699999999 | Man | a@163.com |
200002 | 002 | Party building | 21 | 13600000000 | Female | b@163.com |
Table 4-4 is the user message table (my_user) of tenant C
user_id | tenant_id | father_name | birthday |
300001 | 003 | Ren Hang | 1988-10-10 |
300002 | 003 | Hu Rong | 2000-10-01 |
Wherein, for tenant A, only produce basic data, belong to first kind tenant.For tenant B, it needs to enter existing table
Row part amendment, belongs to Equations of The Second Kind tenant.For tenant C, it needs newly-built table to store data, belongs to the 3rd class tenant.
Step 203: storage tenant data
According to the result of classification, the data that different types of tenant is produced, use the different pieces of information mould in structural data model
Type stores.It is particularly as follows: use basic data model to store the basic data that the first tenant produces;Use basic data mould
Type stores the basic data that the second tenant produces, and uses expansion table data model to store the custom field data that the second tenant produces;
The basic data using basic data model storage the 3rd tenant to produce, uses expansion table data model storage the 3rd tenant to produce
Custom field data, use the user-defined data table data that key-value pair data model storage the 3rd tenant produces.
The data of tenant A use the tables of data storage in basic data model.
Tenant B produces basic data and custom field data, and basic data uses the tables of data storage of basic data model, from
Defined word segment data uses the tables of data storage in expansion table data model.
Tenant C can produce basic data, user-defined data table data and custom field data, and wherein, basic data uses basis number
Storing according to the tables of data of model, custom field uses the tables of data storage expanding table data model, and user-defined data table field data makes
Store by the tables of data of key-value pair data model.
As chart 5-1 is to shown in table 5-7, for through above-mentioned steps, the data storage of three tenants A, B, C of the present embodiment
Schematic diagram after BEKV model.
Table 5-1 basic data model tenant's information table (tenant_info)
tenant_id | name | telephone | address | |
001 | A | 13666666666 | Nanchang | pty@163.com |
002 | B | 13888888888 | ShenZhen,GuangDong | xy@163.com |
003 | C | 13999999999 | Beihai Fisheries Base Guangxi Province | abc@163.com |
The user message table (user_info) of table 5-2 basic data model tenant
user_id | tenant_id | ext_data_id | name | age | telephone |
100001 | 001 | Zhang Xi | 18 | 13677777777 | |
100002 | 001 | Zhao Qi | 19 | 13688888888 | |
200001 | 002 | e_d_0 | Zhao Zhong | 20 | 13699999999 |
200002 | 002 | e_d_1 | Party building | 21 | 13600000000 |
Table 5-3 expands data model and expands field metadata table (ext_column_metadata)
ext_col_id | tenant_id | name | type |
e_d_0 | 002 | sex | char(2) |
e_d_1 | 002 | varchar(100) |
Table 5-4 expands data model and expands tables of data (ext_data)
ext_data_id | ext_col_id | value |
e_d_0 | e_c_0 | Man |
e_d_0 | e_c_1 | a@163.com |
e_d_1 | e_c_0 | Female |
e_d_1 | e_c_1 | b@163.com |
Table 5-5 key-value pair data model table metadata table (table_matadata)
table_id | tenant_id | name | enabled | info |
t_0 | 003 | user_info_c | yes | The table of tenant C |
Table 5-6 key-value pair data model field metadata table (column_metadata)
col_id | tenant_id | table_id | name | type | length | null | def_v | enabled |
c_0 | 003 | t_1 | user_id | varchar | 20 | yes | yes | |
c_1 | 003 | t_1 | father_name | varchar | 20 | yes | yes | |
c_2 | 003 | t_1 | birthday | date | no | yes |
Table 5-7 key-value pair data model value tables of data (data)
id | tenant_id | table_id | col_id | value | info |
d_0 | 003 | t_1 | c_0 | 300001 | |
d_1 | 003 | t_1 | c_0 | 300002 | |
d_2 | 003 | t_1 | c_1 | Ren Hang | |
d_3 | 003 | t_1 | c_1 | Hu Rong | |
d_4 | 003 | t_1 | c_3 | 1988-10-10 | |
d_5 | 003 | t_1 | c_3 | 2000-10-01 |
The method storing tenant's structural data in multi-tenant database that embodiment of the present invention provides, by arranging structuring
Data model, this models coupling basic data model, expansion table data model and key-value pair data model, overcome single
The model shortcoming when storing multi-tenant data, can effectively store basic data and the self-defining data of tenant, reach tenant
While demand, meet the interests of service supplier.
It should be understood that the invention is not limited in above-mentioned embodiment, every various changes to the present invention or modification are without departing from this
The spirit and scope of invention, if within the scope of these change claim and the equivalent technologies belonging to the present invention with modification, then originally
Invention also implies that comprising these changes and modification.
Claims (8)
1. the method storing tenant's structural data in multi-tenant database, it is characterised in that including:
(1) structural data model is set:
Described structural data model is made up of basic data model, expansion table data model and key-value pair data model;
Described basic data model is for storing the Back ground Information of tenant, and described expansion table data model is used for storing tenant basis letter
The expansion information of breath, described key-value pair data model is for storing the user-defined data table information of tenant;
(2) classification tenant:
Tenant during many tenants are applied by the data type produced according to tenant classifies;
(3) storage tenant data:
According to the result of classification, the data that different types of tenant is produced, use the different pieces of information mould in structural data model
Type stores.
2. the method storing tenant's structural data in multi-tenant database as claimed in claim 1, it is characterised in that:
Described basic data model comprises tenant's table and multiple Back ground Information tables.
3. the method storing tenant's structural data in multi-tenant database as claimed in claim 1, it is characterised in that:
Described expansion packetization includes expansion field data and expands field metadata.
4. the method storing tenant's structural data in multi-tenant database as claimed in claim 1, it is characterised in that:
Described expansion table data model comprises a Zhang Tuo and opens up tables of data and a Zhang Tuo opens up field metadata table.
5. the method storing tenant's structural data in multi-tenant database as claimed in claim 1, it is characterised in that:
Described user-defined data table information includes table metadata information, field metadata information and Value Data information.
6. the method storing tenant's structural data in multi-tenant database as claimed in claim 1, it is characterised in that:
Described key-value pair data model comprises a table metadata table, a field metadata table and a Value Data table.
7. the method storing tenant's structural data in multi-tenant database as claimed in claim 1, it is characterised in that institute
State according to tenant produce data type to many tenants apply in tenant classify particularly as follows:
The tenant only producing basic data is defined as the first tenant;
The tenant producing basic data and custom field data is defined as the second tenant;
The tenant producing basic data, user-defined data table data and custom field data is defined as the 3rd tenant.
8. the method storing tenant's structural data in multi-tenant database as claimed in claim 1, it is characterised in that institute
State the result according to classification, the data that different types of tenant is produced, use the different pieces of information model in structural data model
Carry out storing particularly as follows:
Basic data model is used to store the basic data that the first tenant produces;
Use basic data model to store the basic data that the second tenant produces, use expansion table data model to store the second tenant and produce
Raw custom field data;
The basic data using basic data model storage the 3rd tenant to produce, uses expansion table data model storage the 3rd tenant to produce
Raw custom field data, use the user-defined data table data that key-value pair data model storage the 3rd tenant produces.
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