CN106919472B - Method and device for snapshot backup of data - Google Patents
Method and device for snapshot backup of data Download PDFInfo
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- CN106919472B CN106919472B CN201510998473.XA CN201510998473A CN106919472B CN 106919472 B CN106919472 B CN 106919472B CN 201510998473 A CN201510998473 A CN 201510998473A CN 106919472 B CN106919472 B CN 106919472B
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- 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
- G06F11/1451—Management of the data involved in backup or backup restore by selection of backup contents
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- 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
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- 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
- G06F11/1479—Generic software techniques for error detection or fault masking
- G06F11/1482—Generic software techniques for error detection or fault masking by means of middleware or OS functionality
- G06F11/1484—Generic software techniques for error detection or fault masking by means of middleware or OS functionality involving virtual machines
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Abstract
The embodiment of the invention discloses a snapshot backup method of data, which comprises the following steps: determining the category of respective basic data in data of a plurality of virtual machines in a cloud platform; and performing snapshot backup on the basic data in the data of the virtual machines corresponding to the same basic data category uniformly, and performing snapshot backup on the difference data in the data of the virtual machines corresponding to the same basic data category independently. The embodiment of the invention also discloses a snapshot backup device of the data.
Description
Technical Field
The present invention relates to a data backup technology, and in particular, to a snapshot backup method and apparatus for data.
Background
FIG. 1 is a schematic structural diagram of storage data of virtual machines, and as shown in FIG. 1, for each virtual machine, the storage data is composed of a basic data portion and a difference data portion; the basic data part is mirror image data selected during virtual machine creation, and the differential data part is actual data of the virtual machine; a plurality of virtual machines based on the cloud platform share the same basic data part by adopting the same mirror image creation, and the difference data part is the data which is respectively maintained.
A full snapshot backup mode is adopted by a current cloud platform when data stored in a virtual machine is snapshot backed up, fig. 2 is an operation schematic diagram of the full snapshot backup mode adopted by the data stored in the virtual machine, and as shown in fig. 2, the current cloud platform has three virtual machines, namely a virtual machine a, a virtual machine B and a virtual machine C; the storage data of the virtual machine A consists of basic data A and difference data A1, the storage data of the virtual machine B consists of basic data B and difference data B1, and the storage data of the virtual machine C consists of basic data C and difference data C1; for each full snapshot backup, all snapshot backups are performed on the basic data part and the differential data part of each virtual machine, and finally, the result after the snapshot backup is performed on the virtual machine A is the basic data A and the differential data An, the result after the snapshot backup is performed on the virtual machine B is the basic data B and the differential data Bn, and the result after the snapshot backup is performed on the virtual machine C is the basic data C and the differential data Cn; when the cloud platform performs batch full-volume snapshot backup, redundant data are often generated, the data volume is increased rapidly, the read-write pressure of a magnetic disk is overlarge, and the snapshot backup efficiency is reduced.
Disclosure of Invention
In view of this, embodiments of the present invention are expected to provide a method and an apparatus for snapshot backup of data, so as to reduce the data volume of the snapshot backup and the read/write pressure of the disk, and effectively improve the efficiency of the snapshot backup.
In order to achieve the purpose, the technical scheme of the invention is realized as follows:
the invention provides a snapshot backup method of data, which comprises the following steps:
determining the category of respective basic data in data of a plurality of virtual machines in a cloud platform;
and performing snapshot backup on the basic data in the data of the virtual machines corresponding to the same basic data category uniformly, and performing snapshot backup on the difference data in the data of the virtual machines corresponding to the same basic data category independently.
In the above method, before determining the category of the respective basic data in the data of the plurality of virtual machines in the cloud platform, the method further includes:
and acquiring information of respective basic data in the data of the plurality of virtual machines in the cloud platform.
In the above method, the determining the category of the basic data in the data of the plurality of virtual machines in the cloud platform includes:
and determining the category of the respective basic data in the data of the plurality of virtual machines in the cloud platform according to the information of the respective basic data in the data of the plurality of virtual machines in the cloud platform.
In the above method, after determining the type of the basic data in the data of the multiple virtual machines in the cloud platform, before performing snapshot backup on the basic data in the data of the corresponding virtual machines belonging to the same basic data type uniformly, the method further includes:
and classifying the types of the basic data of the multiple virtual machines in the cloud platform to obtain the virtual machines corresponding to the same basic data type.
In the above method, the performing snapshot backup separately on the difference data of the data belonging to the virtual machines corresponding to the same basic data category includes:
and respectively carrying out incremental snapshot backup on the difference data in the data of the virtual machines corresponding to the same basic data type.
The invention also provides a snapshot backup device of data, the device comprises:
the determining module is used for determining the category of respective basic data in the data of the plurality of virtual machines in the cloud platform;
the backup module is used for uniformly performing one-time snapshot backup on the basic data in the data of the virtual machines corresponding to the same basic data type and independently performing snapshot backup on the difference data in the data of the virtual machines corresponding to the same basic data type.
In the above apparatus, the apparatus further comprises:
the acquisition module is used for acquiring information of respective basic data in the data of the plurality of virtual machines in the cloud platform.
In the above apparatus, the determining module is specifically configured to determine the category of each basic data in the data of the plurality of virtual machines in the cloud platform according to the information of each basic data in the data of the plurality of virtual machines in the cloud platform.
In the above apparatus, the apparatus further comprises:
and the classification module is used for classifying the categories of the respective basic data in the data of the multiple virtual machines in the cloud platform to obtain the virtual machines corresponding to the same basic data category.
In the above apparatus, the backup module is specifically configured to perform incremental snapshot backup on respective difference data in data of virtual machines corresponding to the same basic data category separately.
The method and the device for snapshot backup of data provided by the embodiment of the invention firstly determine the types of respective basic data in the data of a plurality of virtual machines in a cloud platform, then uniformly perform snapshot backup on the basic data in the data of the virtual machines corresponding to the same basic data type for one time, and independently perform snapshot backup on respective difference data in the data of the virtual machines corresponding to the same basic data type; the method and the device realize that the public data part of the virtual machine belonging to the same basic data category is snapshot backed up only once, greatly reduce the snapshot backup times of the basic data during snapshot backup of the virtual machine, reduce the data volume of the snapshot backup and the read-write pressure of a disk as a whole, and effectively improve the efficiency of the snapshot backup.
Drawings
FIG. 1 is a schematic diagram of a structure of storage data of a virtual machine;
FIG. 2 is a schematic diagram illustrating an operation of a full snapshot backup method for data stored in a virtual machine;
FIG. 3 is a flowchart of a snapshot backup method embodiment of the data of the present invention;
FIG. 4 is a schematic diagram illustrating an operation of an embodiment of a snapshot backup method of data according to the present invention;
fig. 5 is a schematic structural diagram of an embodiment of a snapshot backup apparatus for data according to the present invention.
Detailed Description
The technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention.
Fig. 3 is a flowchart of an embodiment of a snapshot backup method of data according to the present invention, as shown in fig. 3, the method may include the following steps:
The Cloud platforms (Cloud platforms) provide services based on 'Cloud', so that developers can build applications without building own foundation and can build new software, namely service applications, completely; in the embodiment of the invention, the method can be applied to an OpenStack cloud computing management platform.
The snapshot backup device of the data can acquire information of respective basic data in the data of a plurality of virtual machines in the cloud platform, wherein the information of the respective basic data represents the category to which the respective basic data belongs; for example, fig. 4 is an operation schematic diagram of an embodiment of a snapshot backup method of data according to the present invention, and as shown in fig. 4, a snapshot backup apparatus of data acquires information of respective basic data (basic data a, basic data B, basic data C, basic data D, basic data E, and basic data F) in data of 6 virtual machines (virtual machine a, virtual machine B, virtual machine C, virtual machine D, virtual machine E, and virtual machine F) in a cloud platform.
It should be noted that the number of how many virtual machines in the cloud platform are acquired by the snapshot backup apparatus of data may be set according to actual requirements, which is not limited herein.
And 102, determining the category of respective basic data in the data of the plurality of virtual machines in the cloud platform.
The data snapshot backup device determines the category of respective basic data in the data of the multiple virtual machines in the cloud platform according to the acquired information of the respective basic data in the data of the multiple virtual machines in the cloud platform, and determines the category of the respective basic data for each virtual machine; for example, as shown in fig. 4, the base data a of the virtual machine a is determined as the base data type one, the base data B of the virtual machine B is determined as the base data type one, the base data C of the virtual machine C is determined as the base data type one, the base data D of the virtual machine D is determined as the base data type two, the base data E of the virtual machine E is determined as the base data type two, and the base data F of the virtual machine F is determined as the base data type two.
103, classifying the types of the basic data in the data of the multiple virtual machines in the cloud platform to obtain the virtual machines corresponding to the same basic data type.
The data snapshot backup device classifies the types of respective basic data in the data of a plurality of virtual machines in the cloud platform to obtain the virtual machines corresponding to the same basic data type; for example, as shown in fig. 4, virtual machine a, virtual machine B, and virtual machine C belonging to the first basic data category are planned in the same category, and virtual machine D, virtual machine E, and virtual machine F belonging to the second basic data category are planned in another category.
And 104, uniformly performing primary snapshot backup on the basic data in the data of the virtual machines corresponding to the same basic data type, and performing snapshot backup on the difference data in the data of the virtual machines corresponding to the same basic data type independently.
The snapshot backup device of the data uniformly performs one-time snapshot backup on basic data in the data of the virtual machines corresponding to the same basic data category, and performs snapshot backup on respective difference data in the data of the virtual machines corresponding to the same basic data category, wherein the respective difference data in the data of the virtual machines corresponding to the same basic data category are individually subjected to incremental snapshot backup;
for example, as shown in fig. 4, since the basic data a of the virtual machine a, the basic data B of the virtual machine B, and the basic data C of the virtual machine C belong to the same basic data category one, that is, the basic data a, the basic data B, and the basic data C are the same basic data, and all virtual machines of the category share the basic data, it is only necessary to perform snapshot backup once on the basic data a, the basic data B, and the basic data C, and then perform incremental snapshot backup separately on the difference data An of the virtual machine a, the difference data Bn of the virtual machine B, and the difference data Cn of the virtual machine C; and when the virtual machine recovers data each time, the difference data part of the virtual machine and the common basic data part of the class to which the difference data part belongs are adopted for carrying out merging processing to obtain complete data.
Similarly, the basic data D of the virtual machine D, the basic data E of the virtual machine E, and the basic data F of the virtual machine F belong to the same basic data class two, that is, the basic data D, the basic data E, and the basic data F are the same basic data, and all virtual machines of the class share the basic data, so that only one snapshot backup needs to be performed on the basic data D, the basic data E, and the basic data F in a unified manner, and then an incremental snapshot backup is performed separately on the difference data Dn of the virtual machine D, the difference data En of the virtual machine E, and the difference data Fn of the virtual machine F; and when the virtual machine recovers data each time, the difference data part of the virtual machine and the common basic data part of the class to which the difference data part belongs are adopted for carrying out merging processing to obtain complete data.
It can be seen that when the virtual machines of different categories, i.e. the first category of basic data and the second category of basic data, are subjected to classification processing in the respective categories, the public data part of the virtual machine of one category is subjected to snapshot backup only once, so that the snapshot backup frequency of the basic data during the snapshot backup of the virtual machine is greatly reduced, the data volume of the snapshot backup and the read-write pressure of a disk are reduced as a whole, and the snapshot backup efficiency is effectively improved.
The snapshot backup method of the data provided by the embodiment of the invention comprises the steps of firstly determining the types of respective basic data in the data of a plurality of virtual machines in a cloud platform, then uniformly performing one-time snapshot backup on the basic data in the data of the virtual machines corresponding to the same basic data type, and independently performing snapshot backup on the difference data in the data of the virtual machines corresponding to the same basic data type; the method and the device realize that the public data part of the virtual machine belonging to the same basic data category is snapshot backed up only once, greatly reduce the snapshot backup times of the basic data during snapshot backup of the virtual machine, reduce the data volume of the snapshot backup and the read-write pressure of a disk as a whole, and effectively improve the efficiency of the snapshot backup.
Fig. 5 is a schematic structural diagram of an embodiment of a snapshot backup apparatus for data according to the present invention, and as shown in fig. 5, the snapshot backup apparatus 05 for data may include: a determination module 51 and a backup module 52; wherein the content of the first and second substances,
the determining module 51 is configured to determine a category of respective basic data in data of a plurality of virtual machines in the cloud platform;
the backup module 52 is configured to perform snapshot backup on the basic data in the data of the virtual machines corresponding to the same basic data category, and perform snapshot backup on the difference data in the data of the virtual machines corresponding to the same basic data category separately.
Further, the apparatus further comprises: an acquisition module 53; wherein the content of the first and second substances,
the obtaining module 53 is configured to obtain information of respective basic data in data of a plurality of virtual machines in the cloud platform.
Further, the determining module 51 is specifically configured to determine the category of each basic data in the data of the multiple virtual machines in the cloud platform according to the information of each basic data in the data of the multiple virtual machines in the cloud platform.
Further, the apparatus further comprises: a classification module 54; wherein the content of the first and second substances,
the classification module 54 is configured to classify categories of respective basic data in data of multiple virtual machines in the cloud platform, so as to obtain virtual machines corresponding to the same basic data category.
Further, the backup module 52 is specifically configured to perform incremental snapshot backup on respective difference data in the data of the virtual machines corresponding to the same basic data category separately.
The apparatus of this embodiment may be configured to implement the technical solutions of the above-described method embodiments, and the implementation principles and technical effects are similar, which are not described herein again.
In practical applications, the determining module 51, the backup module 52, the obtaining module 53, and the classifying module 54 may be implemented by a Central Processing Unit (CPU), a Microprocessor (MPU), a Digital Signal Processor (DSP), a Field Programmable Gate Array (FPGA), or the like on the device.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of a hardware embodiment, a software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the scope of the present invention.
Claims (10)
1. A method for snapshot backup of data, the method comprising:
determining the category of respective basic data in data of a plurality of virtual machines in a cloud platform;
and performing snapshot backup on the basic data in the data of the virtual machines corresponding to the same basic data category uniformly, and performing snapshot backup on the difference data in the data of the virtual machines corresponding to the same basic data category independently.
2. The method of claim 1, wherein prior to the determining the classification of the respective underlying data in the data for the plurality of virtual machines in the cloud platform, the method further comprises:
and acquiring information of respective basic data in the data of the plurality of virtual machines in the cloud platform.
3. The method of claim 2, wherein determining the class of the respective underlying data in the data for the plurality of virtual machines in the cloud platform comprises:
and determining the category of the respective basic data in the data of the plurality of virtual machines in the cloud platform according to the information of the respective basic data in the data of the plurality of virtual machines in the cloud platform.
4. The method according to claim 1, 2 or 3, wherein after the determining of the category of the base data in the data of the plurality of virtual machines in the cloud platform, before the uniformly performing snapshot backup on the base data in the data of the corresponding virtual machines belonging to the same base data category, the method further comprises:
and classifying the types of the basic data of the multiple virtual machines in the cloud platform to obtain the virtual machines corresponding to the same basic data type.
5. The method according to claim 4, wherein the individually performing snapshot backup on the difference data in the data belonging to the virtual machines corresponding to the same basic data category comprises:
and respectively carrying out incremental snapshot backup on the difference data in the data of the virtual machines corresponding to the same basic data type.
6. An apparatus for snapshot backup of data, the apparatus comprising:
the determining module is used for determining the category of respective basic data in the data of the plurality of virtual machines in the cloud platform;
the backup module is used for uniformly performing one-time snapshot backup on the basic data in the data of the virtual machines corresponding to the same basic data type and independently performing snapshot backup on the difference data in the data of the virtual machines corresponding to the same basic data type.
7. The apparatus of claim 6, further comprising:
the acquisition module is used for acquiring information of respective basic data in the data of the plurality of virtual machines in the cloud platform.
8. The apparatus according to claim 7, wherein the determining module is specifically configured to determine the category of the respective basic data in the data of the plurality of virtual machines in the cloud platform according to the information of the respective basic data in the data of the plurality of virtual machines in the cloud platform.
9. The apparatus of claim 6, 7 or 8, further comprising:
and the classification module is used for classifying the categories of the respective basic data in the data of the multiple virtual machines in the cloud platform to obtain the virtual machines corresponding to the same basic data category.
10. The apparatus according to claim 9, wherein the backup module is specifically configured to perform incremental snapshot backup on difference data of the virtual machines corresponding to the same basic data category separately.
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| CN104981784A (en) * | 2012-11-16 | 2015-10-14 | 跨网数据管理有限公司 | Software deployment and control method and system |
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| CN103593262A (en) * | 2013-11-15 | 2014-02-19 | 上海爱数软件有限公司 | Virtual machine backup method based on classification |
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