CN107491360B - The method for being classified other redundant storage is carried out to record in tables of data - Google Patents
The method for being classified other redundant storage is carried out to record in tables of data Download PDFInfo
- Publication number
- CN107491360B CN107491360B CN201710600474.3A CN201710600474A CN107491360B CN 107491360 B CN107491360 B CN 107491360B CN 201710600474 A CN201710600474 A CN 201710600474A CN 107491360 B CN107491360 B CN 107491360B
- Authority
- CN
- China
- Prior art keywords
- node
- data
- service
- record
- management
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/07—Responding to the occurrence of a fault, e.g. fault tolerance
- G06F11/14—Error detection or correction of the data by redundancy in operation
- G06F11/1402—Saving, restoring, recovering or retrying
- G06F11/1446—Point-in-time backing up or restoration of persistent data
- G06F11/1458—Management of the backup or restore process
- G06F11/1464—Management of the backup or restore process for networked environments
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/06—Digital input from, or digital output to, record carriers, e.g. RAID, emulated record carriers or networked record carriers
- G06F3/0601—Interfaces specially adapted for storage systems
- G06F3/0668—Interfaces specially adapted for storage systems adopting a particular infrastructure
- G06F3/067—Distributed or networked storage systems, e.g. storage area networks [SAN], network attached storage [NAS]
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Quality & Reliability (AREA)
- Human Computer Interaction (AREA)
- Storage Device Security (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The present invention discloses record in a kind of pair of tables of data and carries out the method for being classified other redundant storage, the a set of cloud computing framework based on service node of this method, different stage is arranged to the record of tables of data, and utilizes navigation-type data storage technology, realizes that the classification of data record She Zhi not store redundancy.This method overcomes the dependence to hardware environment, and different memory node and redundancy are respectively set according to the significance level of data record, and occupying system resources are low, and execution efficiency is high.
Description
Technical field
The present invention relates to the method for carrying out being classified other redundant storage is recorded in a kind of pair of tables of data, belong to the number of information technology
According to safety and protection field, it is suitable under internet cloud computing environment, the record different to significance level in the same tables of data
It carries out being classified other redundant storage.
Background technique
The mode of the cloud computing node data redundancy storage of mainstream at present, or realized by traditional mode, these
Mode includes that the included tool of data base management system carries out redundancy setting, provides redundant storage by operating system, based on storage
Hardware device carry out redundancy protection (such as: RAID1, RAID3 or RAID10) etc..
Traditional mode there is a problem of following under new cloud computing environment:
1, high to specific hardware environment, operating system, data base management system and fictitious host computer system degree of dependence.Example
Such as: the redundancy tool of Oracle can not carry out redundancy protection to the data file of SQLServer;Tool under Linux can not be superfluous
The problems such as remaining catalogue protected under Windows system.
2, redundant operation occupied space is more, inefficiency, and in the environment of the protection of traditional redundancy, valid data occupy ratio
It is too low.In a usual database, most of data will not be modified frequently, such as the day-to-day account of bank, produced
Raw flowing water account cannot be modified.And in an application system, the operation log that most of operations generate, with specific business
It is unrelated.
So if needing the individual requirement for business, the record of importance different in the same table is distinguished
When redundant storage, current conventional software and hardware tools are not accomplished also.And in the environment of internet cloud calculates, multiple databases
System is distributed in all over the world, and traditional technology, which also can not be realized really, carries out the record being dispersed on multiple servers in table
The target of active redundancy storage protection.
In cloud computing environment, data volume is huge in single table, and the record importance in table is different, for emphasis,
Sensitive record information aggregate generally requires the redundancy storage method of setting more high security level.And conventional backup technology can not
Overcome the dependence to hardware environment, effective redundant storage, Huo Zhe can not be carried out to the data of entire cloud computing environment
In redundant storage, there are problems that invalid data occupies a large amount of memory spaces.
Summary of the invention
The technical problem to be solved in the present invention is to provide the sides that record carries out being classified other redundant storage in a kind of pair of tables of data
Method, this method are based on service node, overcome the dependence to hardware environment, and set respectively according to the significance level of data record
Different memory node and redundancy are set, occupying system resources are low, and execution efficiency is high.
In order to solve the technical problem, the technical solution adopted by the present invention is that: it records and divides in a kind of pair of tables of data
The method of rank redundant storage, comprising the following steps: S01), build one and can be made of multiple with independently operated service node
Cloud service platform, the service node includes management node A, Journal node L, data memory node D and service providing node
S;S02), management node A is initialized, after the completion of initialization, Key needed for management node A provides certification to other service nodes
File and password;S03), make it that cloud computing platform be added to management node A registration all service nodes of participation cloud computing,
It needs to provide Key file and password when registration as certification foundation, can see all services after registration on management node A
Nodal information is arranged redundant storage for the later period and is ready;S04), the rule of data storage and distribution is set on management node A,
The record of different security level requireds, according to major key value range, saved in setting to different data memory nodes, and handle
This setting information saves as data storage rule, and after preservation, which is issued to corresponding service providing node S and data
Memory node D;S05), data operation request from the user is handled according to the data redundancy storage rule of setting.
It is of the present invention that the method for being classified other redundant storage, the high note of security level required are carried out to record in tables of data
Record, can be stored on multiple data memory node D, simultaneously to realize redundant storage.
Of the present invention to carry out the method for being classified other redundant storage to record in tables of data, value range is 1 ~ 19999
Major key ID is stored on data memory node D1, and value range is stored in data memory node in 20000 ~ 29999 major key ID
On D1, value range is stored on data memory node D2 in 30000 ~ 39999 major key ID, value range 40000 ~
49999 major key ID is stored on data memory node D2, and value range is stored in data and deposits in 30000 ~ 39999 major key ID
It stores up on node D3, major key ID of the value range greater than 49999 is stored on data memory node D3, is existed for value range
Data between 30000 ~ 39999 are saved using the storage mode of redundancy.
It is of the present invention that the method for being classified other redundant storage is carried out to record in tables of data, initialize the mistake of management node A
Journey are as follows: starting management node A after management node A starts successfully, inquires local data base, obtains this service node configuration information
It is put into memory, after configuration information obtains successfully, into wait state, waits data memory node D, service providing node S and day
Will node L comes to register.
It is of the present invention that the method that is classified other redundant storage carried out to record in tables of data, in step S03, to management node
The service node of A registration includes data memory node D, service providing node S and Journal node L.
It is of the present invention that the method for being classified other redundant storage is carried out to record in tables of data, participate in the service node of cloud computing
The process registered to management node A are as follows: the service node to be registered of starting after the service node starts successfully, inquires local number
It according to library, obtains this service node configuration information and is put into memory, after configuration information obtains successfully, register to management node A, mention at this time
For service registration code and service access password that management node A is provided, registration request is issued to management node A, management node A connects
After receiving registration request, verified, the information preservation after being verified desire registration service node into own resource library, this
When on the management console of management node A, increased newly registration service node.
It is of the present invention that the method for being classified other redundant storage is carried out to record in tables of data, it is completed in management node A all
After the registration of node, comprising the information of the node in the database of management node, frame administrator can be manually set respectively
Access rule and access information authorization between a node, after setting after the above rule, management node A is by calling service to mention
For the navigation download function of node S and data memory node D, the rule set be sent to all data memory node D and
In service providing node S, for data of the value range between 30000 to 39999, protected using the storage mode of redundancy
It deposits;After service providing node S receives data storage rule, after the request for receiving data storage, according to rule data
It stores in different data memory nodes;After data memory node D receives data storage rule, carrying out verifying to data is
It is no to meet the data storage rule received, it is stored if meeting, the information illegally stored is returned if not meeting.
It is of the present invention that the method that is classified other redundant storage carried out to record in tables of data, in step S05, cloud service platform
Handle insertion, modification, deletion and the inquiry operation that data operation request from the user includes data.
It is of the present invention that the method for being classified other redundant storage is carried out to record in tables of data, when service providing node S is received
To the condition analysis engine that service providing node S is carried when changing the operation requests looked into relation to data additions and deletions, is passed through first, in conjunction with number
According to storage rule, the packet sent to user is decomposed, and it includes target data that the information after decomposition, which is sent separately,
Data memory node D on, each data memory node D is executed parallel, and implementing result is fed back to service providing node S,
After the data receiver analysis engine of service providing node S arranges data summarization, then feed back to the user for sending request.
Beneficial effects of the present invention: 1, the method for the invention be based on it is multiple can be with independently operated service node, can
Complicated hardware and software device and a variety of development languages under cloud computing environment are adapted to, specific equipment or software are not depended on, and it is existing
Technology is all to rely on specific hardware, operating system or software tool to realize, compared with prior art, the method for the invention tool
There is stronger compatibility.2, different memory node and redundancy is respectively set according to the significance level of data record in this method,
Then corresponding storage rule is formulated for different memory nodes, completes the superfluous of respective node using a kind of form to break the whole up into parts
Balance storage, can execute parallel, not influence regular traffic execution.And conventional backup must once carry out completely entire database
Backup, required time is long, and the file of generation is big, and it is more to occupy host resource, or even can interfere with the application of regular traffic.Therefore
This method has the characteristics that occupying system resources are low, execution efficiency is high.3, sensitive data is protected, the high record of significance level belongs to
The object for needing to lay special stress on protecting can execute respectively after carrying out cutting according to the importance information of record in each node respectively
Data insertion, modification, the operation such as delete, the sensitive data that needs are laid special stress on protecting is placed on the higher environment of security level
In, it can effectively take precautions against information leakage.And traditional approach, as long as one backup file of leakage, entire all sensitivities of lane database
Data are with regard to being all compromised away.Therefore it originally can protect sensitive data.
Detailed description of the invention
Fig. 1 is the flow chart for issuing data storage rule;
Fig. 2 is the flow chart that cloud computing platform handles data operation request.
Specific embodiment
The present invention is further illustrated in the following with reference to the drawings and specific embodiments.
The present embodiment discloses record in a kind of pair of tables of data and carries out the method for being classified other redundant storage, before this method is implemented,
Hardware environment preparation is carried out first, comprising:
Equipment: three servers, interchanger
Operating system: Server2008 or Linux may be used
Software: MySQL5.1 or more version, Tomcat6 or more version, Java1.7 or more version
Technique preparation: WebService WSDL communication protocol, SpringMVC Web frame
Specific implementation step are as follows:
The first step builds a cloud computing platform, software installation is completed on three servers, then in every server
Three service nodes of upper creation, altogether 9 service nodes.Including: management node A, data memory node D1, D2, D3,
D4, D5, service providing node S1, S2 and Journal node L1.First start management node A, then log-on data memory node,
Service providing node, Journal node.
Service node can be understood as one group of service processes on a server, this group of service processes can mutually match
It closes, service request needed for completing cloud computing.Each service node has the attribute of oneself, and nodal community refers to service node
The function that upper this group of service processes are capable of providing.The nodal community that each service node has oneself basic, and provide substantially
Servicing communications interface (such as Node registers, node identities verifying etc.).In addition, each node is different according to preset function, mention
For additional service.Node is divided into several major class according to the difference of attribute (service provided):
Management node A: it is responsible in the entire cloud computing framework of management, all service nodes;The safety certification of responsible node and
The publication of navigation information;
Journal node L: it is responsible for recording the operation log information of each node;
Data memory node D: it is responsible for storing the data information of submission according to preset value.And operation log information is sent
It is saved to Journal node L.
Service providing node S: it is responsible for all kinds of requests that response user sends, and carries out analysis summary, after analysis is split
Information, be sent to each data memory node D, and receive, summarize the response message of data memory node D.
Second step, initialization management node A
1, management node A starts
After management node A starts successfully, inquiry local data base obtains this service node configuration information and is put into memory.Configuration
Information includes:
Serial number | Content | Type | Example |
1 | Service registration code | String | IP141-SERVER-KEY |
2 | Service access address | String | Http: // 192.168.1.100:8080/Manager/webservices, support Https |
3 | Service access user name | String | Admin |
4 | Service access password | String | 123 (supporting the encryption of the various ways such as MD5) |
5 | Service node type | String | A: management node |
6 | Service node version | String | 1.0 |
After configuration information obtains successfully, into wait state, data storage service node, service node and log section are waited
Point comes to register.
Other nodes in third step, initialization cloud service platform, and registered to management node A, specifically:
1, data memory node D starts
After node starts successfully, inquiry local data base obtains this service node configuration information and is put into memory.Configuration information
Include:
It after configuration information obtains successfully, is operated to management service Node registry, the management node A service provided is provided at this time
Registration code and service access password issue registration request to management node A and are tested after management node A receives registration request
Card, the information preservation after being verified data memory node D is into own resource library, at this time on the management console of A,
It is seen that having increased a data memory node D newly.
2, service provides class node S starting
After node starts successfully, inquiry local data base obtains this service node configuration information and is put into memory.Configuration information
Include:
Serial number | Content | Type | Example |
1 | Service registration code | String | IP143-SERVER-KEY |
2 | Service access address | String | Http: // 192.168.1.102:8080/Manager/webservices, support Https |
3 | Service access user name | String | Admin |
4 | Service access password | String | 123 (supporting the encryption of the various ways such as MD5) |
5 | Service node type | String | S: service node |
6 | Service node version | String | 1.0 |
7 | Management service node visit address | String | http://192.168.1.100:8080/Manager/webservices |
8 | Management service node visit user | String | Admin |
9 | Management service node visit password | String | 123 |
It after configuration information obtains successfully, is operated to management service Node registry, the management node A service provided is provided at this time
Registration code and service access password issue registration request to management node A, after A receives registration request, are verified, verified
Through the rear information preservation service providing node S into own resource library.At this time on the management console of A, so that it may
See and has increased a service providing node S newly.
3, Journal node L starts
After node starts successfully, inquiry local data base obtains this service node configuration information and is put into memory.Configuration information
Include:
It after configuration information obtains successfully, is operated to management service Node registry, the management node A service provided is provided at this time
Registration code and service access password issue registration request to management node A, after A receives registration request, are verified, verified
Through the rear information preservation Journal node L into own resource library.At this time on the management console of A, so that it may see
A Journal node L is increased newly.
4th step, setting data redundancy storage rule
It include all sections in the database of management node A after management node A completes the registration operation of all nodes
The information of point.Frame administrator can carry out manually setting the access rule and access information authorization between each node.
It is as follows to illustrate service access rule settings function in the database of management node:
Data store content:
Serial number | Explanation | Length |
1 | User account | 32 |
2 | Address name | 10 |
3 | Gender | 2 |
4 | ID card No. | 18 |
5 | Contact method | 32 |
6 | Home address | 128 |
7 | Major key ID | 32 major keys, unique identification |
Data storage rule is arranged in management service node:
Serial number | Explanation | Memory node |
1 | Major key ID value range 1 ~ 19999 | Data memory node D1 |
2 | Major key ID value range 20000 ~ 29999 | Data memory node D1 |
3 | Major key ID value range 30000 ~ 39999 | Data memory node D2 |
4 | Major key ID value range 40000 ~ 49999 | Data memory node D2 |
5 | Major key ID value range 30000 ~ 39999 | Data memory node D3 |
6 | Value range > 49999 major key ID | Data memory node D3 |
After the good above rule of management service node sets, by calling the navigation of service node and data memory node to download
Function (WebService service) is sent to the rule that setting is completed in all storages and service node.Exist to value range
Data between 30000 to 39999,It is saved using the storage mode of redundancy。
As shown in Figure 1, for the flow chart for issuing data redundancy storage rule.Service node receives data storage rule
Afterwards, after the request for receiving data storage, data are stored into different data memory nodes according to rule.
After data memory node receives data storage, data are carried out to verify whether the storage rule that service receives,
It is stored if meeting, the information illegally stored is returned if not meeting.
5th step, processing user's request
After the storage rule for completing the 4th step setting data memory node, cloud service platform can be normally received and be come from
The data operation request of user generally includes the insertion of data, modification, deletion and inquiry operation.As shown in Fig. 2, being cloud computing
The flow chart of platform processes data operation request.
5-1, insertion operation: as service providing node S1(or S2) receive addition one record request when, by taking
Business provides node S1 and creates a uniqueness major key Kx according to the demand according to application program, and according to the value information of Kx, knot
The data storage rule for closing S1 node itself, is sent collectively to packet on corresponding data memory node Dn with Kx, by counting
Complete the insertion operation of data parallel according to memory node.When the same record of correspondence has multiple data memory nodes, S1 can divide
Identical packet is not sent to these data memory nodes, and waits their respectively responses.
5-2, operation is updated: when service providing node S1 receives a update operation, first by the way that " condition analysis draws
Hold up " analysis update condition and this node storage data rule between relationship, then update condition is sent to corresponding
Data memory node Dn;It, can be respectively the result record set in respective set of records ends, meeting the condition after Dn receives request
Uniqueness major key Kx is fed back, then is filtered by " data receiver analysis engine " to the Kx set of acquisition back, finally
Determine the range for needing to be implemented the Kx for updating operation, and the set for the data memory node Dn being related to.Finally counted to these
Include the more newer command of Kx major key set according to memory node transmission, is concurrently executed by each data memory node.
5-3, delete operation: when service providing node S1 receives a delete operation, first by the way that " condition analysis draws
Hold up ", the relationship between " deletion record condition " and " data rule " of the storage of this node is analyzed, then deletion condition is sent to
Corresponding data memory node Dn;After Dn receives request, the record of the condition can be met respectively in respective set of records ends
Uniqueness major key Kx is fed back.S1 merges analysis to the Kx set of acquisition back by " data receiver analysis engine ",
The Kx set for the record for finally needing to delete is filtered out, and this is gathered, together with delete command, sends jointly to all meet
It is required that Dn node, execute delete operation.When record is there are when redundant node, according to rule, Xiang Suoyou node is sent to be corresponded to S1
Deletion instruction.
Inquiry operation: 5-4 when S1 receives a querying command, passes through " condition analysis engine ", analysis inquiry first
Condition and the column name to be obtained;Then the querying condition after analysis is sent respectively to include that the data of these querying conditions are deposited
Store up node Dn;It after Dn receives request, is inquired inside respective service node, finds qualified result set, and handle
Uniqueness major key Kx forms a response in result set, feeds back to S1.S1 is by " data receiver analysis engine " to multiple nodes
The result set of feedback carries out united analysis filtering, and the Kx set of final satisfactory result set is extracted, in conjunction with number
According to the information of storage rule, the set for finally needing to receive the data memory node Dn of inquiry instruction is determined, and into set
Data memory node sends request.Each node receive include major key Kx inquiry request after, extract corresponding column, formed
Response bag feeds back to S1.After S1 summarizes all response bags, it is merged into result set, feeds back to user.
By above mode, it can efficiently accomplish and record in tables of data is carried out being classified other redundant storage, protect data
It when meeting with unexpected hardware fault, will not lose, and efficiently use memory space, store valid data information.
Described above is only basic principle and preferred embodiment of the invention, and those skilled in the art do according to the present invention
Improvement and replacement out, belong to the scope of protection of the present invention.
Claims (9)
1. record carries out the method for being classified other redundant storage in a kind of pair of tables of data, it is characterised in that: the following steps are included:
S01), one is built by multiple cloud service platforms that can be formed with independently operated service node, and the service node includes pipe
Manage node A, Journal node L, data memory node D and service providing node S;S02), management node A is initialized, has been initialized
Key file and password needed for Cheng Hou, management node A provide certification to other service nodes;S03), the institute of participation cloud computing
There is service node so that its is added cloud computing platform to management node A registration, when registration needs to provide Key file and password as recognizing
Foundation is demonstrate,proved, can see all service node information after registration on management node A, redundant storage is set for the later period and carries out standard
It is standby;S04), the rule of data storage and distribution is set on management node A, the record of different security level requireds, according to major key
This setting information is saved as data storage rule to saving on different data memory nodes, protected by value range, setting
After depositing, which is issued to corresponding service providing node S and data memory node D;S05), according to the data redundancy of setting
Storage rule processing data operation request from the user.
2. according to claim 1 carry out the method for being classified other redundant storage to record in tables of data, it is characterised in that: peace
The demanding record of full rank, can be stored on multiple data memory node D, simultaneously to realize redundant storage.
3. according to claim 1 or 2 carry out the method for being classified other redundant storage to record in tables of data, feature exists
In: data storage rule are as follows: value range is stored on data memory node D1 in 1 ~ 19999 major key ID, and value range exists
20000 ~ 29999 major key ID is stored on data memory node D1, and value range is stored in 30000 ~ 39999 major key ID
On data memory node D2, value range is stored on data memory node D2 in 40000 ~ 49999 major key ID, value range
Major key ID 30000 ~ 39999 is stored on data memory node D3, and major key ID of the value range greater than 49999 is stored in number
According on memory node D3, saved for data of the value range between 30000 ~ 39999 using the storage mode of redundancy.
4. according to claim 1 carry out the method for being classified other redundant storage to record in tables of data, it is characterised in that: just
The process of beginningization management node A are as follows: starting management node A after management node A starts successfully, inquires local data base, obtains this
Service node configuration information is put into memory, after configuration information obtains successfully, into wait state, waits data memory node D, clothes
Business provides node S and Journal node L and comes to register.
5. according to claim 1 carry out the method for being classified other redundant storage to record in tables of data, it is characterised in that: step
In rapid S03, the service node registered to management node A includes data memory node D, service providing node S and Journal node L.
6. according to claim 1 carry out the method for being classified other redundant storage to record in tables of data, it is characterised in that: ginseng
The process registered with the service node of cloud computing to management node A are as follows: the service node to be registered of starting, service node starting
After success, local data base is inquired, this service node configuration information is obtained and is put into memory, after configuration information obtains successfully, Xiang Guan
Node A registration is managed, management node A the service registration code and service access password that provide are provided at this time, issues and infuses to management node A
Volume request, after management node A receives registration request, is verified, and the information of desire registration service node is protected after being verified
It is stored in own resource library, at this time on the management console of management node A, has increased the service node of registration newly.
7. according to claim 1 carry out the method for being classified other redundant storage to record in tables of data, it is characterised in that:
After management node A completes the registration of all nodes, the information of the node, frame management are included in the database of management node
Member can manually set access rule and access information authorization between each node, after setting after the above rule, management section
The rule set is sent to institute by the navigation download function of calling service providing node S and data memory node D by point A
Have in data memory node D and service providing node S, for data of the value range between 30000 to 39999, use is superfluous
Remaining storage mode is saved;After service providing node S receives data storage rule, in the request for receiving data storage
Afterwards, it is stored the data in different data memory nodes according to rule;Data memory node D receives data storage rule
Afterwards, data are carried out verifying whether to meet the data storage rule received, stores if meeting, is returned if not meeting
The information illegally stored.
8. according to claim 1 carry out the method for being classified other redundant storage to record in tables of data, it is characterised in that: step
In rapid S05, cloud service platform handles the insertion that data operation request from the user includes data, modification, deletion and inquiry behaviour
Make.
9. according to claim 1 or 8 the method that is classified other redundant storage is carried out to record in tables of data, feature exists
In: when service providing node S, which is received, changes the operation requests looked into relation to data additions and deletions, first certainly by service providing node S
The condition analysis engine of band, combined data storage rule, the packet sent to user are decomposed, and the information after decomposition is divided
Not being sent to includes on the data memory node D of target data, and each data memory node D is executed parallel, and executing knot
Fruit feeds back to service providing node S, after the data receiver analysis engine of service providing node S arranges data summarization, then instead
It feeds and sends the user of request.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710600474.3A CN107491360B (en) | 2017-07-21 | 2017-07-21 | The method for being classified other redundant storage is carried out to record in tables of data |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710600474.3A CN107491360B (en) | 2017-07-21 | 2017-07-21 | The method for being classified other redundant storage is carried out to record in tables of data |
Publications (2)
Publication Number | Publication Date |
---|---|
CN107491360A CN107491360A (en) | 2017-12-19 |
CN107491360B true CN107491360B (en) | 2019-07-30 |
Family
ID=60643631
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201710600474.3A Active CN107491360B (en) | 2017-07-21 | 2017-07-21 | The method for being classified other redundant storage is carried out to record in tables of data |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN107491360B (en) |
Families Citing this family (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN114817231B (en) * | 2022-06-30 | 2022-09-30 | 深圳中科智能技术有限公司 | Redundant data identification filtering method and system |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102611704A (en) * | 2012-03-20 | 2012-07-25 | 广东电子工业研究院有限公司 | Cloud computing node registering system and cloud computing node registering method |
CN102904948A (en) * | 2012-09-29 | 2013-01-30 | 南京云创存储科技有限公司 | Super-large-scale low-cost storage system |
CN103389919A (en) * | 2013-07-30 | 2013-11-13 | 浙江中控技术股份有限公司 | Data processing method and device based on redundant equipment system |
CN104253865A (en) * | 2014-09-18 | 2014-12-31 | 华南理工大学 | Two-level management method for hybrid desktop cloud service platform |
CN106682215A (en) * | 2016-12-30 | 2017-05-17 | 华为技术有限公司 | Data processing method and management node |
Family Cites Families (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101291347B (en) * | 2008-06-06 | 2010-12-22 | 中国科学院计算技术研究所 | Network storage system |
-
2017
- 2017-07-21 CN CN201710600474.3A patent/CN107491360B/en active Active
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102611704A (en) * | 2012-03-20 | 2012-07-25 | 广东电子工业研究院有限公司 | Cloud computing node registering system and cloud computing node registering method |
CN102904948A (en) * | 2012-09-29 | 2013-01-30 | 南京云创存储科技有限公司 | Super-large-scale low-cost storage system |
CN103389919A (en) * | 2013-07-30 | 2013-11-13 | 浙江中控技术股份有限公司 | Data processing method and device based on redundant equipment system |
CN104253865A (en) * | 2014-09-18 | 2014-12-31 | 华南理工大学 | Two-level management method for hybrid desktop cloud service platform |
CN106682215A (en) * | 2016-12-30 | 2017-05-17 | 华为技术有限公司 | Data processing method and management node |
Also Published As
Publication number | Publication date |
---|---|
CN107491360A (en) | 2017-12-19 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
WO2022126968A1 (en) | Micro-service access method, apparatus and device, and storage medium | |
CN111709046A (en) | User permission data configuration method, device, equipment and storage medium | |
US20020083146A1 (en) | Data model for automated server configuration | |
CN103154943B (en) | The search based on enterprise of new data and the data for updating | |
US8185639B2 (en) | Server identification in storage networks | |
US20120290592A1 (en) | Federated search apparatus, federated search system, and federated search method | |
US20050010547A1 (en) | Method and apparatus for managing identity information on a network | |
EP1636711A2 (en) | System and method for distribution of software licenses in a networked computing environment | |
CN110990863B (en) | Method for realizing file access control through timestamp and encryption algorithm | |
JP2009003549A (en) | Data management device, data management method, data management program, and data management program storage medium | |
CN107491360B (en) | The method for being classified other redundant storage is carried out to record in tables of data | |
CN116668191B (en) | Internet of things application virtual gateway with data encryption convergence function | |
CN107491361B (en) | The method for being classified other redundant storage is carried out to column in tables of data | |
CN100561516C (en) | Network gridding service system of national geolopy spatial data | |
CN107704555B (en) | The method for using embedded database to store up navigation data under cloud computing environment | |
US8219648B2 (en) | Generalized credential and protocol management of infrastructure | |
CN113177070B (en) | Information query method, device and related equipment | |
CN107612917B (en) | Method for encrypting log storage by using 3DES encryption algorithm in cloud computing environment | |
CN107704775A (en) | The method that AES encryption storage is carried out to data navigation information | |
US8892750B1 (en) | Transparent HBA replacement | |
CN116055082B (en) | User management method and system based on OpenStack | |
CN107612918A (en) | The method that rsa encryption storage is carried out to data dictionary information | |
US11514017B2 (en) | Systems and methods for provisioning a new secondary IdentityIQ instance to an existing IdentityIQ instance | |
Ramey | Pro Oracle Identity and Access Management Suite | |
CN118041861A (en) | Flow control system and method based on cloud native gateway and metadata |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant | ||
PE01 | Entry into force of the registration of the contract for pledge of patent right |
Denomination of invention: A method for hierarchical redundant storage of records in a data table Effective date of registration: 20220819 Granted publication date: 20190730 Pledgee: Ji'nan finance Company limited by guarantee Pledgor: SHANDONG JIUZHOU XINTAI INFORMATION TECHNOLOGY CO.,LTD. Registration number: Y2022980012898 |
|
PE01 | Entry into force of the registration of the contract for pledge of patent right |