CN106919472B - Method and device for snapshot backup of data - Google Patents

Abstract

The embodiment of the present invention discloses a data snapshot backup method, which includes: determining the categories of respective basic data in the data of multiple virtual machines in a cloud platform; Perform a snapshot backup in a unified manner, and perform a snapshot backup of the respective difference data in the data of the virtual machines corresponding to the same basic data category. The embodiment of the present invention also discloses a data snapshot backup device.

Description

Snapshot backup method and device for data

technical field

The present invention relates to data backup technology, in particular to a data snapshot backup method and device.

Background technique

Figure 1 is a schematic diagram of the structure of the storage data of a virtual machine. As shown in Figure 1, for each virtual machine, the storage data is composed of a basic data part and a difference data part; wherein, the basic data part is selected when the virtual machine is created. Mirror data, the difference data part is the actual data of the virtual machine itself; multiple virtual machines based on the cloud platform created from the same image will share the same basic data part, the difference is that the difference data part maintains their own data.

The current cloud platform adopts the full snapshot backup method when backing up the stored data of the virtual machine. Figure 2 is a schematic diagram of the operation of using the full snapshot backup method for the storage data of the virtual machine. As shown in Figure 2, the current cloud platform has three The virtual machines are virtual machine A, virtual machine B, and virtual machine C; the storage data of virtual machine A consists of basic data A and difference data A1, and the storage data of virtual machine B consists of basic data B and difference data B1 , the storage data of virtual machine C is composed of basic data C and differential data C1; for each full snapshot backup, all the basic data part and differential data part of each virtual machine are backed up by all snapshots, and finally , the results of snapshot backup for virtual machine A are basic data A and differential data An, the results of snapshot backup for virtual machine B are basic data B and differential data Bn, and the results of snapshot backup for virtual machine C are Basic data C and differential data Cn; when the cloud platform performs batch full snapshot backup, redundant data is often generated, which will lead to a surge in data volume, excessive disk read and write pressure, and reduce the efficiency of snapshot backup.

SUMMARY OF THE INVENTION

In view of this, the embodiments of the present invention are expected to provide a data snapshot backup method and apparatus, so as to reduce the data volume of the snapshot backup and the read and write pressure of the disk, and effectively improve the efficiency of the snapshot backup.

In order to achieve the above object, the technical scheme of the present invention is achieved in this way:

The present invention provides a data snapshot backup method, the method includes:

Determine the category of the respective basic data in the data of multiple virtual machines in the cloud platform;

Perform a snapshot backup of the basic data in the data of the virtual machines corresponding to the same basic data category, and perform a snapshot backup of the respective difference data in the data of the virtual machines corresponding to the same basic data category.

In the above method, before determining the categories of the respective basic data in the data of the multiple virtual machines in the cloud platform, the method further includes:

Obtain information about respective basic data in the data of multiple virtual machines in the cloud platform.

In the above method, the determining the categories of the respective basic data in the data of the multiple virtual machines in the cloud platform includes:

The category of the respective basic data in the data of the multiple virtual machines in the cloud platform is determined according to the information of the respective basic data in the data of the multiple virtual machines in the cloud platform.

In the above method, after the category of the respective basic data in the data of the multiple virtual machines in the cloud platform is determined, a snapshot backup of the basic data in the data of the corresponding virtual machines belonging to the same basic data category is uniformly performed. Before, the method further includes:

Classifying the categories of the respective basic data in the data of multiple virtual machines in the cloud platform to obtain virtual machines corresponding to the same basic data category.

In the above method, the separate snapshot backup of the respective difference data in the data of the virtual machines corresponding to the same basic data category includes:

Separate incremental snapshot backups of the respective differential data in the data of the virtual machines that belong to the same basic data category.

The present invention also provides a data snapshot backup device, the device includes:

A determination module, used to determine the category of the respective basic data in the data of multiple virtual machines in the cloud platform;

The backup module is used to uniformly perform a snapshot backup of the basic data in the data of the virtual machines corresponding to the same basic data category, and perform a snapshot backup of the respective difference data in the data of the virtual machines corresponding to the same basic data category. .

In the above device, the device also includes:

an acquisition module, configured to acquire the information of the respective basic data in the data of the multiple virtual machines in the cloud platform.

In the above device, the determining module is specifically configured to determine the category of the respective basic data in the data of the multiple virtual machines in the cloud platform according to the information of the respective basic data in the data of the multiple virtual machines in the cloud platform.

In the above device, the device further includes:

The classification module is used for classifying the categories of the respective basic data in the data of the plurality of virtual machines in the cloud platform, so as to obtain the virtual machines corresponding to the same basic data category.

In the above device, the backup module is specifically configured to separately perform incremental snapshot backup of the respective difference data in the data of the virtual machines corresponding to the same basic data category.

In the data snapshot backup method and device provided by the embodiments of the present invention, the categories of the respective basic data in the data of multiple virtual machines in the cloud platform are first determined, and then the basic data in the data of the virtual machines corresponding to the same basic data category is determined. Perform a snapshot backup in a unified manner, and perform snapshot backup of the respective difference data in the data of the virtual machines corresponding to the same basic data category; realize only one snapshot of the common data part of the virtual machines belonging to the same basic data category Backup greatly reduces the number of snapshot backups of basic data during virtual machine snapshot backups, reduces the data volume of snapshot backups and the read and write pressure of disks as a whole, and effectively improves the efficiency of snapshot backups.

Description of drawings

1 is a schematic structural diagram of storage data of a virtual machine;

Fig. 2 is the operation schematic diagram of adopting full snapshot backup mode to the storage data of virtual machine;

3 is a flowchart of an embodiment of a data snapshot backup method according to the present invention;

Fig. 4 is the operation schematic diagram of the embodiment of the snapshot backup method of data of the present invention;

FIG. 5 is a schematic structural diagram of an embodiment of a data snapshot backup apparatus according to the present invention.

Detailed ways

The technical solutions 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 data snapshot backup method according to the present invention. As shown in FIG. 3 , the method may include the following steps:

Step 101: Acquire information of respective basic data in data of multiple virtual machines in the cloud platform.

Cloud platforms (Cloud platforms) provide "cloud"-based services for developers to use when creating applications, without having to build their own foundation, and can rely on cloud platforms to create new software-as-a-service applications; in the embodiment of the present invention, The method can be applied to the OpenStack cloud computing management platform.

The data snapshot backup device will obtain the information of the respective basic data in the data of multiple virtual machines in the cloud platform, and the information of the respective basic data represents the category to which the respective basic data belongs; for example, FIG. 4 is the snapshot backup method of the data of the present invention. The operation schematic diagram of the embodiment, as shown in FIG. 4 , the snapshot backup device of data acquires 6 virtual machines (virtual machine A, virtual machine B, virtual machine C, virtual machine D, virtual machine E, virtual machine F) in the cloud platform The information of the respective basic data (basic data A, basic data B, basic data C, basic data D, basic data E, basic data F) in the data.

It should be noted here that the number of virtual machines in the cloud platform obtained by the data snapshot backup device can be set according to actual requirements, which is not limited here.

Step 102: Determine the categories of the respective basic data in the data of the multiple virtual machines in the cloud platform.

The data snapshot backup device determines the type of the respective basic data in the data of the multiple virtual machines in the cloud platform according to the obtained information of the respective basic data in the data of the multiple virtual machines in the cloud platform, and determines the respective basic data for each virtual machine. The type of data; for example, as shown in Figure 4, it is determined that the basic data A of virtual machine A is the basic data category 1, the basic data B of virtual machine B is the basic data category 1, and the basic data C of virtual machine C is the basic data Category 1, it is determined that the basic data D of the virtual machine D is the basic data category 2, the basic data E of the virtual machine E is the basic data category 2, and the basic data F of the virtual machine F is the basic data category 2.

Step 103: Classify the categories of the respective basic data in the data of the plurality of virtual machines in the cloud platform to obtain virtual machines corresponding to the same basic data category.

The data snapshot backup device classifies the categories of the respective basic data in the data of multiple virtual machines in the cloud platform, and obtains virtual machines corresponding to the same basic data category; for example, as shown in FIG. The virtual machine A, virtual machine B, and virtual machine C are planned to be in the same category, and the virtual machine D, virtual machine E, and virtual machine F belonging to the second basic data category are planned to be in another category.

Step 104: Perform a snapshot backup of the basic data in the data of the virtual machines corresponding to the same basic data category, and perform snapshot backup of the respective difference data in the data of the virtual machines corresponding to the same basic data category.

The data snapshot backup device uniformly performs a snapshot backup of the basic data in the data of the virtual machines corresponding to the same basic data category, and performs a snapshot backup of the respective difference data in the data of the virtual machines corresponding to the same basic data category. , wherein the respective differential data in the data of the virtual machines corresponding to the same basic data category is separately performed incremental snapshot backup;

For example, as shown in Figure 4, since the basic data A of virtual machine A, basic data B of virtual machine B, and basic data C of virtual machine C belong to the same basic data category 1, that is, basic data A, basic data B, basic data C is the same basic data, and all virtual machines of this type share this basic data, so it is only necessary to perform a snapshot backup of basic data A, basic data B, and basic data C, and then for the difference data An of virtual machine A, virtual The differential data Bn of machine B and the differential data Cn of virtual machine C are separately backed up by incremental snapshots; each time a virtual machine restores data, it uses the differential data part of the virtual machine and the basic data part shared by the category to which it belongs. Merge processing to get complete data.

Similarly, since the basic data D of virtual machine D, the basic data E of virtual machine E, and the basic data F of virtual machine F belong to the same basic data category II, that is, basic data D, basic data E, and basic data F are the same foundation All virtual machines of this category share this basic data, so it is only necessary to perform a snapshot backup of basic data D, basic data E, and basic data F, and then target the difference data Dn of virtual machine D and the difference data of virtual machine E. En and the differential data Fn of the virtual machine F are individually backed up by incremental snapshots; each time the virtual machine restores data, the differential data part of the virtual machine and the basic data part shared by the category to which it belongs are combined for processing to obtain a complete The data.

It can be seen that when the basic data category 1 and basic data category 2 score different categories of virtual machines, they need to be classified in their respective categories, so that the public data part of a category of virtual machines only needs to be backed up once. , which greatly reduces the number of snapshot backups of basic data during virtual machine snapshot backups, reduces the data volume of snapshot backups and the read and write pressure of disks as a whole, and effectively improves the efficiency of snapshot backups.

In the data snapshot backup method provided by the embodiment of the present invention, the categories of the respective basic data in the data of multiple virtual machines in the cloud platform are firstly determined, and then the basic data in the data of the virtual machines corresponding to the same basic data category is uniformly performed. A snapshot backup is to perform a snapshot backup of the respective difference data in the data of the virtual machines corresponding to the same basic data category. It greatly reduces the number of snapshot backups of basic data during virtual machine snapshot backups, reduces the data volume of snapshot backups and the read and write pressure of disks as a whole, and effectively improves the efficiency of snapshot backups.

FIG. 5 is a schematic structural diagram of an embodiment of a data snapshot backup device according to the present invention. As shown in FIG. 5 , the data snapshot backup device 05 may include: a determination module 51 and a backup module 52; wherein,

The determining module 51 is used to determine the category of the respective basic data in the data of the multiple virtual machines in the cloud platform;

The backup module 52 is used to uniformly perform a snapshot backup of the basic data in the data of the virtual machines corresponding to the same basic data category, and separate the respective difference data in the data of the virtual machines corresponding to the same basic data category. Take a snapshot backup.

Further, the apparatus further includes: an acquisition module 53; wherein,

The obtaining module 53 is configured to obtain the information of the respective basic data in the data of the multiple virtual machines in the cloud platform.

Further, the determining module 51 is specifically configured to determine the category of the respective basic data in the data of the multiple virtual machines in the cloud platform according to the information of the respective basic data in the data of the multiple virtual machines in the cloud platform.

Further, the apparatus further includes: a classification module 54; wherein,

The classification module 54 is configured to classify the categories of the respective basic data in the data of the plurality of virtual machines in the cloud platform to obtain virtual machines corresponding to the same basic data category.

Further, the backup module 52 is specifically configured to separately perform incremental snapshot backup of the respective difference data in the data of the virtual machines corresponding to the same basic data category.

The apparatus of this embodiment can be used to implement the technical solutions of the method embodiments shown above, and the implementation principles and technical effects thereof are similar, and details are not described herein again.

In practical applications, the determining module 51 , the backup module 52 , the obtaining module 53 , and the classification module 54 may be a central processing unit (CPU), a microprocessor (MPU), a digital signal processor (DSP) or a field located on the device. Programmable gate array (FPGA) and other devices.

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 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 having computer-usable program code embodied therein, including but not limited to disk storage, optical storage, and the like.

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 process and/or block in the flowchart illustrations and/or block diagrams, and combinations of processes and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to the processor of a general purpose computer, special purpose computer, embedded processor or other programmable data processing device to produce a machine such that the instructions executed by the processor of the computer or other programmable data processing device produce Means for implementing the functions specified in a flow or flow of a flowchart and/or a block or blocks of a block diagram.

These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory result in an article of manufacture comprising instruction means, the instructions The apparatus implements the functions specified in the flow or flow of the flowcharts and/or the block or blocks of the block diagrams.

These computer program instructions can also be loaded on a computer or other programmable data processing device to cause a series of operational steps to be performed on the computer or other programmable device to produce a computer-implemented process such that The instructions provide steps for implementing the functions specified in the flow or blocks of the flowcharts and/or the block or blocks of the block diagrams.

The above descriptions are only preferred embodiments of the present invention, and are not intended to limit the protection scope of the present invention.

Claims (10)

1. a data snapshot backup method, is characterized in that, described method comprises: Determine the category of the respective basic data in the data of multiple virtual machines in the cloud platform; Perform a snapshot backup of the basic data in the data of the virtual machines corresponding to the same basic data category, and perform a snapshot backup of the respective difference data in the data of the virtual machines corresponding to the same basic data category. 2 . The method according to claim 1 , wherein before determining the categories of the respective basic data in the data of the plurality of virtual machines in the cloud platform, the method further comprises: 3 . Obtain information about respective basic data in the data of multiple virtual machines in the cloud platform. 3. The method according to claim 2, wherein the determining the category of the respective basic data in the data of the multiple virtual machines in the cloud platform comprises: The category of the respective basic data in the data of the multiple virtual machines in the cloud platform is determined according to the information of the respective basic data in the data of the multiple virtual machines in the cloud platform. 4. The method according to claim 1, 2 or 3, characterized in that, after said determining the categories of the respective basic data in the data of the plurality of virtual machines in the cloud platform, after said determining the categories of all the basic data that will belong to the same basic data category. Before the basic data in the data corresponding to the virtual machine is uniformly backed up by a snapshot, the method further includes: Classifying the categories of the respective basic data in the data of multiple virtual machines in the cloud platform to obtain virtual machines corresponding to the same basic data category. 5 . The method according to claim 4 , wherein the separate snapshot backup of the respective difference data in the data of the virtual machines corresponding to the same basic data category comprises: 5 . Separate incremental snapshot backups of the respective differential data in the data of the virtual machines that belong to the same basic data category. 6. A data snapshot backup device, wherein the device comprises: A determination module, used to determine the category of the respective basic data in the data of multiple virtual machines in the cloud platform; The backup module is used to uniformly perform a snapshot backup of the basic data in the data of the virtual machines corresponding to the same basic data category, and perform a snapshot backup of the respective difference data in the data of the virtual machines corresponding to the same basic data category. . 7. The apparatus of claim 6, wherein the apparatus further comprises: an acquisition module, configured to acquire the information of the respective basic data in the data of the multiple virtual machines in the cloud platform. 8 . The apparatus according to claim 7 , wherein the determining module is specifically configured to determine the plurality of virtual machines in the cloud platform according to the information of respective basic data in the data of the plurality of virtual machines in the cloud platform. 9 . The category of the respective underlying data in the machine's data. 9. The device according to claim 6, 7 or 8, wherein the device further comprises: The classification module is used for classifying the categories of the respective basic data in the data of the plurality of virtual machines in the cloud platform, so as 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 individually perform incremental snapshot backup of the respective difference data in the data of the virtual machines corresponding to the same basic data category. 11 .

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