CN106372161A - Distributive database data backup piece deployment method and device - Google Patents
Distributive database data backup piece deployment method and device Download PDFInfo
- Publication number
- CN106372161A CN106372161A CN201610777612.0A CN201610777612A CN106372161A CN 106372161 A CN106372161 A CN 106372161A CN 201610777612 A CN201610777612 A CN 201610777612A CN 106372161 A CN106372161 A CN 106372161A
- Authority
- CN
- China
- Prior art keywords
- machine
- burst
- data
- backup
- backup burst
- 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.)
- Pending
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
- G06F11/1448—Management of the data involved in backup or backup restore
-
- 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
- G06F16/27—Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
- G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
- G06F9/5083—Techniques for rebalancing the load in a distributed system
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Databases & Information Systems (AREA)
- Software Systems (AREA)
- Quality & Reliability (AREA)
- Computing Systems (AREA)
- Data Mining & Analysis (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The invention provides a distributive database data backup piece deployment method and device, wherein the method comprises the following steps of determining the number of data backup pieces; performing deployment on the data backup pieces according to the number of the data backup pieces. The main data pieces and the backup data pieces of the distributive database can be efficiently deployed; the data piece number of each machine is enabled to be possibly balanced through precise and ingenious design strategies and algorithms; in addition, by aiming at the stored position of the application configuration backup pieces of different backup pieces, high reliability of each data pieces is ensured; the simultaneous damage of the data pieces and the backup pieces is prevented to the maximum degree; meanwhile, the load of each machine is enabled to be possibly balanced.
Description
Technical field
The invention belongs to database technical field, especially relate to a kind of distributed data base data backup burst deployment side
Method and device.
Background technology
In today's society, the highly reliable storage of data has become more and more important, various emerging industries and traditional industries
All it be unable to do without the highly reliable storage of data.And the information huge explosion with today's society, traditional unit data base cannot
Meet the needs of current business and user, therefore distributed data base becomes the Sybase of industry.
Traditional unit data base is when the storage in the face of mass data is with calculating it is impossible to meet user and business well
Demand.In big data and cloud computing era, distributed data base technique, high speed network transmission technology and parallel computation skill
Art, has obtained unprecedented development.Distributed data base technique has had become as the leader of data storage industry.
Distributed data base, as the term suggests, go storage using the many platform machines physically split and calculate data, come
Become the task that separate unit Work machine cannot complete, reduce computational load and the storage pressure of separate unit Work machine.At present, industry has
Many well-known distributed data base products, the commercial product such as such as greenplum, vertica, and ***, amazon
Some personal products.The specific of these products is all to go to undertake data storage and meter using some machines physically split
Calculate pressure.
The factor of distributed data base overriding concern is high reliability, and next needs to consider load balancing, particularly occurs
Problem of load balancing after machine breakdown., there is machine in distributed data base often tens machines, at most thousands of machines at least
Device damages and may be considered Great possibility, therefore first has to the high reliability in view of distributed data base, and machine is occurring
Ensure during damage that data-base cluster can use as far as possible, and proof load equilibrium.
Content of the invention
The invention provides a kind of distributed data base data backup burst dispositions method and device, to realize distributed number
Possesses the purpose of high availability and load balancing according to storehouse.
In a first aspect, embodiments providing a kind of distributed data base data backup burst dispositions method, comprising:
Determine data backup burst quantity;
According to described data backup burst quantity, data backup burst is disposed.
Further, described according to described data backup burst quantity, data backup burst is disposed, comprising:
When described data backup burst quantity is 1, the backup burst of machine is deployed in this rack of this machine room
In machine.
Further, described according to described data backup burst quantity, data backup burst is disposed, comprising:
When described data backup burst quantity is 2, the first backup burst of machine is deployed to this rack of this machine room
In interior machine;
Second backup burst of machine is deployed in the machine in the different racks of this machine room.
Further, described according to described data backup burst quantity, data backup burst is disposed, comprising:
When described data backup burst quantity is 3, the first backup burst of machine is deployed to this rack of this machine room
In interior machine;
Second backup burst of machine is deployed in the machine in the different racks of this machine room;
3rd backup burst of machine is deployed in the machine of arbitrary rack of other machine rooms.
Second aspect, the embodiment of the present invention additionally provides a kind of distributed data base data backup burst deployment device, bag
Include:
Quantity determining unit, for determining data backup burst quantity;
Deployment unit, for disposing to data backup burst according to described data backup burst quantity.
Further, described deployment unit is used for:
When described data backup burst quantity is 1, the backup burst of machine is deployed in this rack of this machine room
In machine.
Further, described deployment unit is used for:
When described data backup burst quantity is 2, the first backup burst of machine is deployed to this rack of this machine room
In interior machine;
Second backup burst of machine is deployed in the machine in the different racks of this machine room.
Further, described deployment unit is used for:
When described data backup burst quantity is 3, the first backup burst of machine is deployed to this rack of this machine room
In interior machine;
Second backup burst of machine is deployed in the machine in the different racks of this machine room;
3rd backup burst of machine is deployed in the machine of arbitrary rack of other machine rooms.
Distributed data base data backup burst dispositions method provided in an embodiment of the present invention and device, can efficient portion
The master data burst of administration's distributed data base and Backup Data burst, go to ensure every machine with the strategy of exquisite design and algorithm
Data fragmentation number balance as far as possible, and back up, for the application configuration of different backup bursts, the position that bursts are deposited,
Ensure the high reliability of each data fragmentation, prevent data fragmentation and its backup burst from damaging, in addition to greatest extent simultaneously
Ensure that the load of each machine equalizes as far as possible.
Brief description
In order to be illustrated more clearly that the technical scheme of the embodiment of the present invention, below will be in embodiment or description of the prior art
The accompanying drawing of required use be briefly described it should be apparent that, drawings in the following description be only the present invention some are real
Apply example, for those of ordinary skill in the art, without having to pay creative labor, can also be attached according to these
Figure obtains other accompanying drawings.
Fig. 1 is that the flow process of the distributed data base data backup burst dispositions method that the embodiment of the present invention one provides is illustrated
Figure;
Fig. 2 is that the flow process of the distributed data base data backup burst dispositions method that the embodiment of the present invention two provides is illustrated
Figure;
Fig. 3 is that the flow process of the distributed data base data backup burst dispositions method that the embodiment of the present invention three provides is illustrated
Figure;
Fig. 4 is the structural representation that the distributed data base data backup burst that the embodiment of the present invention four provides disposes device
Figure.
Specific embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Site preparation description is it is clear that described embodiment a part of embodiment that is the present invention, rather than whole embodiments.Based on this
Embodiment in bright, the every other enforcement that those of ordinary skill in the art are obtained under the premise of not making creative work
Example, broadly falls into the scope of protection of the invention.
Embodiment one
Fig. 1 is that the flow process of the distributed data base data backup burst dispositions method that the embodiment of the present invention one provides is illustrated
Figure.The present embodiment is applicable to dispose the situation of distributed data base data backup burst, and the method can be by distributed data
Database data backup burst is disposed device to execute, and this device can be realized by software/hardware mode, and can be integrated in for distributed
In data base.
Referring to Fig. 1, described distributed data base data backup burst dispositions method, including
S110, determines data backup burst quantity.
Can there is plurality of application scenes, different application scenarios have different number of machine section in distributed data base
Point.Determine backup burst quantity according to application scenarios.Exemplary, if machine number is few, that is, machine number is less than 100
When, the suitable deployment way adopting 1 or 2 backup bursts;If machine number is more, that is, machine number is at 100 to 500
Between, the suitable deployment way adopting 2 or 3 backup bursts;If machine number is very many, on 500, suitably using extremely
The deployment way of few 3 backup bursts.
S120, disposes to data backup burst according to described data backup burst quantity.
According to machine distributing position and the quantity of data backup burst quantity and distributed data base, to data backup burst
Carry out step, exemplary, same data fragmentation with its back up burst natural not in same machine, same burst
Multiple backup bursts mutually not in same machine, to ensure high reliability and the load balancing of data distribution, particularly as follows:
First backup burst of each data fragmentation is therefore same number in the other machines (non-native device) be put into same rack
According to burst with its back up burst natural not in same machine, multiple backup bursts of same burst are also natural not to exist
It is ensured that the high reliability of data base in same machine.
The distributed data base data backup burst dispositions method that the present embodiment provides, can efficiently dispose distributed number
According to master data burst and the Backup Data burst in storehouse, remove to ensure the data fragmentation of every machine with the strategy of exquisite design and algorithm
Number balances as far as possible, and back up, for the application configuration of different backup bursts, the position that bursts are deposited it is ensured that each
The high reliability of data fragmentation, prevents data fragmentation and its backup burst from damaging to greatest extent simultaneously, ensures each in addition
The load of machine equalizes as far as possible.
In a preferred implementation of the present embodiment, will be described standby to data according to described data backup burst quantity
Part burst is disposed, and is specifically optimized for: when described data backup burst quantity is 1, the backup burst of machine is deployed to
In machine in this rack of this machine room.Same data fragmentation with its back up burst natural not in same machine, with
Multiple backup bursts of one burst mutually not in same machine, with ensure data distribution high reliability with load all
Weighing apparatus.
Embodiment two
Fig. 2 is that the flow process of the distributed data base data backup burst dispositions method that the embodiment of the present invention two provides is illustrated
Figure, the embodiment of the present invention based on above-described embodiment, further, by described according to described data backup burst quantity logarithm
Disposed according to backup burst, comprising: when described data backup burst quantity is 2, by the first backup burst deployment of machine
In machine in this rack of this machine room;Second backup burst of machine is deployed to the machine in the different racks of this machine room
In.
Referring to Fig. 2, described distributed data base data backup burst dispositions method, comprising:
S210, determines data backup burst quantity.
S220, when described data backup burst quantity is 2, the first backup burst of machine is deployed to the basis of this machine room
In machine in rack.
First backup burst of each data fragmentation is in the other machines (non-native device) be put into same rack, therefore
Same data fragmentation with its back up burst natural not in same machine, multiple backup burst also skies of same burst
Right not in same machine it is ensured that the high reliability of data base.
If there being n machine room in data-base cluster, each machine room has m rack, can give when using 1 backup burst
The reliability of data base machine lowest level, each rack disposes one group of Work machine, and the number of machine is set to t, every machine
The main burst number of device is t-1, and the first backup burst of each data fragmentation is deployed in same rack and removes itself machine
In other t-1 platform machines.
S230, the second backup burst of machine is deployed in the machine in the different racks of this machine room.
When using 2 backup burst, the reliability of data base's higher level can be given, in each same rack
1 more than number of machines than every machine main burst number, first backup burst modes of emplacement as described previously for jth (1≤j≤
N) in the rack i in individual machine room (1≤i≤m), the second backup burst of data fragmentation will be placed into (the i+ of j-th machine room
1) in %m rack, to prevent when this rack breaks down, the backup burst in the rack of next door can provide service, makes whole
Individual data-base cluster is still available.
The present embodiment by being disposed described to data backup burst according to described data backup burst quantity, specifically
It is optimized for: when described data backup burst quantity is 2, the first backup burst of machine is deployed in this rack of this machine room
Machine in;Second backup burst of machine is deployed in the machine in the different racks of this machine room.To prevent when this rack
When breaking down, the backup burst in the rack of next door can provide service, makes whole data-base cluster still available.
Embodiment three
Fig. 3 is that the flow process of the distributed data base data backup burst dispositions method that the embodiment of the present invention three provides is illustrated
Figure, the embodiment of the present invention based on above-described embodiment, further, by described according to described data backup burst quantity logarithm
Disposed according to backup burst, be specifically optimized for: when described data backup burst quantity is 3, by the first backup point of machine
Piece is deployed in the machine in this rack of this machine room;Second backup burst of machine is deployed in the different racks of this machine room
Machine in;Second backup burst of machine is deployed in the machine of arbitrary rack of other machine rooms.
Referring to Fig. 3, described distributed data base data backup burst dispositions method, comprising:
S310, determines data backup burst quantity.
S320, when described data backup burst quantity is 3, the first backup burst of machine is deployed to the basis of this machine room
In machine in rack.
S330, the second backup burst of machine is deployed in the machine in the different racks of this machine room.
S340, the 3rd backup burst of machine is deployed in the machine of arbitrary rack of other machine rooms.
When using 3 backup burst, data base's extreme high reliability, the machine number in each rack can be given
1 more than the main burst number of every machine, the first backup burst backs up the modes of emplacement of burst as described previously for the with second
In rack i (1≤i≤m) in j (1≤j≤n) individual machine room, the 3rd backup burst of data fragmentation will be placed into (j+1) %n
In i-th rack of individual machine room, to prevent when this machine room breaks down, the 3rd backup burst in other machine rooms still may be used
With it is ensured that the high reliability of whole data-base cluster.
The present embodiment by being disposed described to data backup burst according to described data backup burst quantity, specifically
It is optimized for: when described data backup burst quantity is 3, the first backup burst of machine is deployed in this rack of this machine room
Machine in;Second backup burst of machine is deployed in the machine in the different racks of this machine room;Standby by the 3rd of machine the
Part burst is deployed in the machine of arbitrary rack of other machine rooms.To prevent when this machine room breaks down, in other machine rooms
3rd backup burst still available it is ensured that the high reliability of whole data-base cluster.
Example IV
Fig. 4 is the structural representation that the distributed data base data backup burst that the embodiment of the present invention four provides disposes device
Figure, as shown in figure 4, described device includes:
Quantity determining unit 410, for determining data backup burst quantity;
Deployment unit 420, for disposing to data backup burst according to described data backup burst quantity.
The distributed data base data backup burst deployment device that the present embodiment provides, can efficiently dispose distributed number
According to master data burst and the Backup Data burst in storehouse, remove to ensure the data fragmentation of every machine with the strategy of exquisite design and algorithm
Number balances as far as possible, and back up, for the application configuration of different backup bursts, the position that bursts are deposited it is ensured that each
The high reliability of data fragmentation, prevents data fragmentation and its backup burst from damaging to greatest extent simultaneously, ensures each in addition
The load of machine equalizes as far as possible.
Further, described deployment unit is used for:
When described data backup burst quantity is 1, the backup burst of machine is deployed in this rack of this machine room
In machine.
Further, described deployment unit is used for:
When described data backup burst quantity is 2, the first backup burst of machine is deployed to this rack of this machine room
In interior machine;
Second backup burst of machine is deployed in the machine in the different racks of this machine room.
Further, described deployment unit is used for:
When described data backup burst quantity is 3, the first backup burst of machine is deployed to this rack of this machine room
In interior machine;
Second backup burst of machine is deployed in the machine in the different racks of this machine room;
3rd backup burst of machine is deployed in the machine of arbitrary rack of other machine rooms.
One of ordinary skill in the art will appreciate that: all or part of step realizing above-mentioned each method embodiment can be led to
Cross the related hardware of programmed instruction to complete.Aforesaid program can be stored in a computer read/write memory medium.This journey
Sequence upon execution, executes the step including above-mentioned each method embodiment;And aforesaid storage medium includes: rom, ram, magnetic disc or
Person's CD etc. is various can be with the medium of store program codes.
Finally it is noted that various embodiments above, only in order to technical scheme to be described, is not intended to limit;To the greatest extent
Pipe has been described in detail to the present invention with reference to foregoing embodiments, it will be understood by those within the art that: its according to
So the technical scheme described in foregoing embodiments can be modified, or wherein some or all of technical characteristic is entered
Row equivalent;And these modifications or replacement, do not make the essence of appropriate technical solution depart from various embodiments of the present invention technology
The scope of scheme.
Claims (8)
1. a kind of distributed data base data backup burst dispositions method is it is characterised in that include:
Determine data backup burst quantity;
According to described data backup burst quantity, data backup burst is disposed.
2. method according to claim 1 is it is characterised in that described standby to data according to described data backup burst quantity
Part burst is disposed, comprising:
When described data backup burst quantity is 1, the backup burst of machine is deployed to the machine in this rack of this machine room
In.
3. method according to claim 1 is it is characterised in that described standby to data according to described data backup burst quantity
Part burst is disposed, comprising:
When described data backup burst quantity is 2, the first backup burst of machine is deployed in this rack of this machine room
In machine;
Second backup burst of machine is deployed in the machine in the different racks of this machine room.
4. method according to claim 1 is it is characterised in that described standby to data according to described data backup burst quantity
Part burst is disposed, comprising:
When described data backup burst quantity is 3, the first backup burst of machine is deployed in this rack of this machine room
In machine;
Second backup burst of machine is deployed in the machine in the different racks of this machine room;
Second backup burst of machine is deployed in the machine of arbitrary rack of other machine rooms.
5. a kind of distributed data base data backup burst deployment device is it is characterised in that include:
Quantity determining unit, for determining data backup burst quantity;
Deployment unit, for disposing to data backup burst according to described data backup burst quantity.
6. device according to claim 5 is it is characterised in that described deployment unit is used for:
When described data backup burst quantity is 1, the backup burst of machine is deployed to the machine in this rack of this machine room
In.
7. device according to claim 1 is it is characterised in that described deployment unit is used for:
When described data backup burst quantity is 2, the first backup burst of machine is deployed in this rack of this machine room
In machine;
Second backup burst of machine is deployed in the machine in the different racks of this machine room.
8. device according to claim 5 is it is characterised in that described deployment unit is used for:
When described data backup burst quantity is 3, the first backup burst of machine is deployed in this rack of this machine room
In machine;
Second backup burst of machine is deployed in the machine in the different racks of this machine room;
3rd backup burst of machine is deployed in the machine of arbitrary rack of other machine rooms.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201610777612.0A CN106372161A (en) | 2016-08-31 | 2016-08-31 | Distributive database data backup piece deployment method and device |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201610777612.0A CN106372161A (en) | 2016-08-31 | 2016-08-31 | Distributive database data backup piece deployment method and device |
Publications (1)
Publication Number | Publication Date |
---|---|
CN106372161A true CN106372161A (en) | 2017-02-01 |
Family
ID=57901162
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201610777612.0A Pending CN106372161A (en) | 2016-08-31 | 2016-08-31 | Distributive database data backup piece deployment method and device |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN106372161A (en) |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108400999A (en) * | 2017-02-06 | 2018-08-14 | ***通信集团公司 | A kind of load-balancing method and device of data-base cluster mirror nodes |
CN109408280A (en) * | 2017-08-17 | 2019-03-01 | 北京金山云网络技术有限公司 | Data back up method, apparatus and system |
CN109783275A (en) * | 2018-12-17 | 2019-05-21 | 北京春鸿科技有限公司 | The method and terminal of file backup are carried out to multiple wifi storage equipment |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US8751454B1 (en) * | 2014-01-28 | 2014-06-10 | Storagecraft Technology Corporation | Virtual defragmentation in a deduplication vault |
CN104376087A (en) * | 2014-11-19 | 2015-02-25 | 天津南大通用数据技术股份有限公司 | Load balance calculation method for distributed database adopting cross backups |
CN105338109A (en) * | 2015-11-20 | 2016-02-17 | 小米科技有限责任公司 | Shard scheduling method and device and distributed server system |
-
2016
- 2016-08-31 CN CN201610777612.0A patent/CN106372161A/en active Pending
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US8751454B1 (en) * | 2014-01-28 | 2014-06-10 | Storagecraft Technology Corporation | Virtual defragmentation in a deduplication vault |
CN104376087A (en) * | 2014-11-19 | 2015-02-25 | 天津南大通用数据技术股份有限公司 | Load balance calculation method for distributed database adopting cross backups |
CN105338109A (en) * | 2015-11-20 | 2016-02-17 | 小米科技有限责任公司 | Shard scheduling method and device and distributed server system |
Non-Patent Citations (2)
Title |
---|
李瀚: ""GBase 8a MPP:一种新型关系数据库的"", 《电信网技术》 * |
杨传辉: "《大规模分布式存储***》", 30 September 2013, 机械工业出版社 * |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108400999A (en) * | 2017-02-06 | 2018-08-14 | ***通信集团公司 | A kind of load-balancing method and device of data-base cluster mirror nodes |
CN108400999B (en) * | 2017-02-06 | 2020-10-30 | ***通信集团公司 | Load balancing method and device for mirror image nodes of database cluster |
CN109408280A (en) * | 2017-08-17 | 2019-03-01 | 北京金山云网络技术有限公司 | Data back up method, apparatus and system |
CN109783275A (en) * | 2018-12-17 | 2019-05-21 | 北京春鸿科技有限公司 | The method and terminal of file backup are carried out to multiple wifi storage equipment |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN110322172B (en) | Inventory scheduling method, inventory scheduling device and computer-readable storage medium | |
CN102968503B (en) | The data processing method of Database Systems and Database Systems | |
CN107566531A (en) | A kind of Elasticsearch cluster expansion methods for supporting balanced resource | |
CN109144414A (en) | The multistage storage method and device of block chain data | |
US8682850B2 (en) | Method of enhancing de-duplication impact by preferential selection of master copy to be retained | |
CN103399781B (en) | Cloud Server and virtual machine management method thereof | |
CN107463593A (en) | Stock reduces method and its equipment | |
CN108255838B (en) | Method and system for establishing intermediate data warehouse for big data analysis | |
CN105446792B (en) | A kind of dispositions method of virtual machine, deployment device and management node | |
CN104731896A (en) | Data processing method and system | |
CN108197873A (en) | Warehouse article goods sorting method, device, computer equipment and storage medium | |
CN106372161A (en) | Distributive database data backup piece deployment method and device | |
CN107341029A (en) | Acquisition methods, device and the electronic equipment of system resource deployment strategy | |
CN107832446B (en) | Configuration item information searching method and computing device | |
CN108810115A (en) | A kind of load-balancing method, device and server suitable for distributed data base | |
CN106980571A (en) | The construction method and equipment of a kind of test use cases | |
CN112395293A (en) | Warehouse and table dividing method, warehouse and table dividing device, warehouse and table dividing equipment and storage medium | |
CN105262835A (en) | Data storage method and device of multiple machine rooms | |
CN107038059A (en) | virtual machine deployment method and device | |
CN109144718A (en) | A kind of memory allocation method, memory release method and relevant device | |
CN115660380B (en) | Order processing method and device for picking goods to person | |
CN101419600A (en) | Data copy mapping method and device based on object-oriented LANGUAGE | |
CN105630603A (en) | Method and device for deploying virtual servers | |
CN106909556A (en) | The storage equalization methods and device of main memory cluster | |
CN106383826A (en) | Database checking method and apparatus |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20170201 |