CN107391312B - Data cloud backup method and system - Google Patents
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- G—PHYSICS
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- 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
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- 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
- G06F11/1471—Saving, restoring, recovering or retrying involving logging of persistent data for recovery
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- 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
- G06F3/0602—Interfaces specially adapted for storage systems specifically adapted to achieve a particular effect
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- 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
- G06F3/0628—Interfaces specially adapted for storage systems making use of a particular technique
- G06F3/0638—Organizing or formatting or addressing of data
- G06F3/064—Management of blocks
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- 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
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Abstract
The invention discloses a data cloud backup method and a system, wherein the method comprises the following steps: after receiving the first instruction, when the data of the data block in the volume to be backed up is rewritten, copying the data before rewriting in the data block, and simultaneously recording the distribution and state of each data block on the current volume to be backed up; and comparing the distribution and the state of each data block on the current to-be-backed-up volume with the recorded result when the data in the last to-be-backed-up volume is rewritten, and uploading the data before the data block with the changed state is rewritten to the cloud server for storage. According to the data cloud backup method and system, when the data of the data block in the volume to be backed up is rewritten, the data of the data block is copied and uploaded to the cloud server for backup; when all data blocks in the backup volume are overwritten, all data on the volume is backed up. Compared with the prior art, the method and the system avoid copying and uploading a large amount of data at a time, can reduce the bandwidth occupation, improve the copying rate and reduce the time consumption.
Description
Technical Field
The invention relates to the technical field of data backup, in particular to a data cloud backup method and system.
Background
In the prior art, a method for performing cloud backup of data is to upload volume data to be backed up in a storage system to a cloud in a copying manner all at once, and if the method meets the situation that the volume of the data to be backed up is large, a large amount of data needs to be copied, so that the bandwidth pressure is large, and time is consumed.
Disclosure of Invention
Compared with the prior art, the data cloud backup method and system can reduce bandwidth occupation, accelerate the copying rate and reduce time consumption.
In order to achieve the purpose, the invention provides the following technical scheme:
a data cloud backup method comprises the following steps:
after receiving a first instruction, when data of a data block in a volume to be backed up is rewritten, copying the data before rewriting in the data block, and simultaneously recording the distribution and state of each data block on the current volume to be backed up;
and comparing the distribution and the state of each data block on the current to-be-backed-up volume with the recorded result when the data in the to-be-backed-up volume is rewritten last time, and uploading the data before the data block with the changed state is rewritten to a cloud server for storage.
Optionally, when data of each data block in the volume to be backed up is not rewritten, recording the distribution and the state of each data block on the current volume to be backed up.
Optionally, when the data of the data block appearing in the volume to be backed up is rewritten, the copying the data before rewriting in the data block includes:
and in the process of writing new data in the data block, copying the data before rewriting in the data block.
Optionally, the method further comprises: and inquiring whether the data blocks on the current volume to be backed up are backed up or not according to the distribution and the state of the data blocks on the volume to be backed up, which are obtained according to the current record.
Optionally, the method further comprises:
after the second instruction is received, the data blocks in the volume to be backed up are sequentially copied, and the copied data are sequentially uploaded to a cloud server to be stored.
A data cloud backup system, comprising:
the copying module is used for copying the data before rewriting in the data block when the data of the data block in the volume to be backed up is rewritten after receiving the first instruction;
the recording module is used for recording the distribution and the state of each data block on the current volume to be backed up when the data of the data block in the volume to be backed up is rewritten after receiving the first instruction;
and the uploading module is used for comparing the distribution and the state of each data block on the current recorded volume to be backed up with the recorded result when the data in the volume to be backed up is rewritten last time, and uploading the data before the data block with the changed state is rewritten to the cloud service end for storage.
Optionally, the recording module is further configured to record, when data of each data block in the volume to be backed up is not rewritten, the distribution and the state of each data block on the current volume to be backed up.
Optionally, the copying module is configured to, when data of a data block appearing in the volume to be backed up is rewritten, copy data before rewriting in the data block, where the copying includes:
the copying module is specifically configured to copy data before rewriting in the data block in the process of writing new data in the data block.
Optionally, the method further comprises:
and the query module is used for querying whether the data blocks on the current volume to be backed up are backed up or not according to the distribution and the state of the data blocks on the current volume to be backed up, which are obtained according to the current record.
Optionally, the method further comprises:
and the backup module is used for sequentially copying each data block in the volume to be backed up after receiving the second instruction, and sequentially uploading the copied data to the cloud server for storage.
According to the technical scheme, when the data of the data block in the volume to be backed up is rewritten, the data before rewriting in the data block is copied, and the distribution and the state of each data block on the current volume to be backed up are recorded; and then comparing the distribution and the state of each data block on the current to-be-backed-up volume with the recorded result when the data in the to-be-backed-up volume is rewritten last time, and uploading the data before the data block with the changed state is rewritten to a cloud server for storage.
According to the data cloud backup method and system, when the data of the data block in the volume to be backed up is rewritten, the data of the data block is copied and uploaded to the cloud server for backup; when all data blocks in the volume to be backed up are rewritten, all data on the volume is backed up. Compared with the prior art, the data cloud backup method and the data cloud backup system avoid copying and uploading a large amount of data at a time, can reduce bandwidth occupation, improve the copying rate and reduce time consumption.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a flowchart of a data cloud backup method according to an embodiment of the present invention;
fig. 2(a) is a schematic diagram of performing cloud backup on a volume to be backed up according to an embodiment of the present invention;
fig. 2(b) is another schematic diagram of performing cloud backup on a volume to be backed up according to an embodiment of the present invention;
fig. 2(c) is another schematic diagram of performing cloud backup on a volume to be backed up according to an embodiment of the present invention;
fig. 3 is a schematic diagram of a data cloud backup system according to an embodiment of the present invention;
fig. 4 is a schematic diagram of a data cloud backup system according to another embodiment of the present invention.
Detailed Description
In order to make those skilled in the art better understand the technical solution of the present invention, the technical solution in the embodiment of the present invention will be clearly and completely described below with reference to the drawings in the embodiment of the present invention, and it is obvious that the described embodiment is only a part of the embodiment of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, an embodiment of the present invention provides a data cloud backup method, including:
s10: after receiving the first instruction, when the data of the data block in the volume to be backed up is rewritten, copying the data before rewriting in the data block, and simultaneously recording the distribution and state of each data block on the current volume to be backed up.
The method for backup when rewriting is selected as indicated by receiving the first instruction, that is, performing cloud backup on data in the to-be-backed-up volume through the following steps.
After receiving the first instruction, when data of a certain data block appears in the volume to be backed up is rewritten, that is, new data is written in the data block, copying the data before the data block is rewritten, and recording the distribution and state of each data block on the current volume to be backed up.
In a specific implementation, a snapshot method may be used to copy the data before rewriting of the data block on the to-be-backed-up volume, and specifically, the snapshot method uses a copy-on-write manner, that is, the data before rewriting in the data block is copied simultaneously in the process of writing new data in the data block.
The distribution of the data blocks refers to the distribution positions of the data blocks on the volume, and the state of the data blocks refers to whether or not the data blocks are overwritten, that is, whether or not new data is written in the data blocks. Specifically, a bitmap may be used to record the distribution and status of each data block on the volume to be backed up.
Therefore, after data in the volume to be backed up is rewritten and copied each time, the distribution and the state of each data block on the current volume to be backed up are recorded, the distribution and the state of the rewritten data blocks on the volume can be monitored according to the recording bitmap, and the integrity of the data and the correctness of the backup can be ensured.
S11: and comparing the distribution and the state of each data block on the current to-be-backed-up volume with the recorded result when the data in the to-be-backed-up volume is rewritten last time, and uploading the data before the data block with the changed state is rewritten to a cloud server for storage.
And comparing the distribution and the state of each data block on the currently recorded volume to be backed up with the result recorded when the data in the last volume to be backed up is rewritten, comparing to obtain which data blocks on the volume are rewritten when the current volume is compared with the last volume rewritten, and uploading the original data of the data block written with new data to the cloud service terminal for backup according to the comparison result.
And when the data of the data block on the volume to be backed up is rewritten, performing cloud backup by adopting the steps.
In addition, in the data cloud backup method according to this embodiment, when data is not rewritten in each data block in the volume to be backed up, the distribution and the state of each data block on the current volume to be backed up are recorded. That is, before the data of the volume to be backed up is rewritten, the distribution and the state of each data block in the volume to be backed up are recorded, at the current moment, no new data is written into each data block on the volume to be backed up, and the state of each data block mark is not rewritten.
Therefore, when data rewriting occurs on the volume, the position of the rewritten data block can be determined according to the recorded distribution and state of each data block on the volume, so that the copied data before rewriting can be uploaded to the cloud.
In the data cloud backup method, when the data of the data block in the volume to be backed up is rewritten, the data of the data block is copied and uploaded to the cloud server for backup; when all data blocks in the volume to be backed up are rewritten, all data on the volume is backed up. Compared with the prior art, the data cloud backup method avoids copying and uploading a large amount of data at a time, can reduce bandwidth occupation, improves the copying rate, and reduces time consumption.
The data cloud backup method of the embodiment further includes: and inquiring whether the data blocks on the current volume to be backed up are backed up or not according to the distribution and the state of the data blocks on the volume to be backed up, which are obtained according to the current record.
In the method, according to the distribution and the state of each data block on the current recorded volume to be backed up, which data blocks are backed up and which data blocks are not backed up can be inquired and monitored, and whether each data block on the current volume to be backed up is backed up or not can be inquired.
A detailed description will be given below of a process of performing cloud backup by using a backup method during rewriting in the data cloud backup method according to this embodiment.
First, in the storage system, when each data block of the volume to be backed up has not been rewritten, the distribution and state of each data block on the volume to be backed up are recorded.
Referring to fig. 2(a), a volume to be backed up in a storage system includes four data blocks: data block number 1, data block number 2, data block number 3, and data block number 4. At time t0, no new data is written into each data block of the volume to be backed up, and at this time, the distribution and the state of each data block are recorded by a bitmap, which is represented as a bitmap G1: 0000.
at time t1, please refer to fig. 2(b), a data block is written into data block No. 3 of the volume to be backed up, data before the data block No. 3 of the volume to be backed up is copied, and the current time t1 is recorded as a bitmap, where the distribution and state of each data block in the volume to be backed up is represented as bitmap G2: 0010. and comparing the bitmap G2 with the bitmap G1 to obtain that the No. 3 data block is rewritten in the current rewriting process, and uploading the data before the rewritten copied No. 3 data block to the cloud server.
At time t2, please refer to fig. 2(c), another data block is written into data block No. 4 of the volume to be backed up, and the data before overwriting of data block No. 4 of the volume to be backed up is copied, and the current time t2 is recorded as a bitmap, which is represented as bitmap G3: 0011. and comparing the bitmap G3 with the bitmap G2 to obtain that the No. 4 data block is rewritten at this time, and uploading the original data of the copied No. 4 data block to a cloud server for storage.
According to the process, cloud backup is carried out on the data blocks which are rewritten on the volume to be backed up, when all the data blocks on the volume to be backed up are rewritten, all the data blocks are backed up to the cloud server, and cloud backup is carried out on the volume to be backed up in the storage system.
According to the data cloud backup method, snapshot backup is used, the original data are copied and uploaded to the cloud end only when the data are rewritten, and when the data volume of the volume to be backed up is large, compared with the existing method that one-time total copying is adopted, bandwidth occupation can be reduced, and time consumption is reduced. In addition, certain expenses are spent on backing up data to a cloud storage end provided by a cloud service provider, and the method does not back up data which is not rewritten in a backup mode during rewriting, so that the cloud storage cost can be relatively reduced. In addition, the method manages through the bitmap, and can ensure the integrity of data and the correctness of copying.
Further, the data cloud backup method of this embodiment further includes: after the second instruction is received, the data blocks in the volume to be backed up are sequentially copied, and the copied data are sequentially uploaded to a cloud server to be stored. In the data cloud backup method of this embodiment, cloud backup can also be performed on the volume to be backed up in an integral copy manner. And if the second instruction is received, the cloud backup of the volume to be backed up in an integral copying mode is selected, all the data blocks in the volume to be backed up are copied in sequence, and the copied data are uploaded to a cloud server for storage at one time.
The cloud backup mode can be selected when the data volume of the volume to be backed up is small, and the backup mode during rewriting can be selected to perform cloud backup when the data volume of the volume to be backed up is large, so that the bandwidth occupation can be reduced, and the time consumption can be reduced. Therefore, the data cloud backup method can flexibly select the backup mode, can meet various application requirements of users, and improves product competitiveness.
Referring to fig. 3, an embodiment of the present invention further provides a data cloud backup system, including:
the copying module 20 is configured to copy, after receiving the first instruction, data before being rewritten in the data block when the data of the data block appearing in the volume to be backed up is rewritten;
the recording module 21 is configured to, after receiving the first instruction, record distribution and a state of each data block on the current volume to be backed up when data of a data block appearing in the volume to be backed up is rewritten;
and the uploading module 22 is configured to compare the distribution and the state of each data block on the currently recorded volume to be backed up with a result recorded when data is rewritten in the volume to be backed up last time, and upload data before rewriting of the data block with the changed state to the cloud server for storage.
It can be seen that the data cloud backup system of this embodiment includes a copy module, a record module, and an upload module, and when data of a data block appearing in a to-be-backed-up volume is rewritten, data before rewriting in the data block is copied, and distribution and state of each data block on the to-be-backed-up volume are recorded at the same time, and then, distribution and state of each data block on the to-be-backed-up volume recorded at present are compared with a result recorded when data in the to-be-backed-up volume appears at the last time when rewritten, and data before rewriting of the data block whose state is changed are uploaded to a cloud service end for storage.
In the data cloud backup system, when the data of the data block in the volume to be backed up is rewritten, the data of the data block is copied and uploaded to the cloud server for backup; when all data blocks in the volume to be backed up are rewritten, all data on the volume is backed up. Compared with the prior art, the data cloud backup system avoids copying and uploading a large amount of data at a time, can reduce bandwidth occupation, improves copying rate, and reduces time consumption.
In the data cloud backup system of this embodiment, the recording module 21 is further configured to record, when data of each data block in the volume to be backed up is not rewritten, the distribution and the state of each data block on the current volume to be backed up. That is, before the data of the volume to be backed up is rewritten, the distribution and the state of each data block in the volume to be backed up are recorded, at the current moment, no new data is written into each data block on the volume to be backed up, and the state of each data block mark is not rewritten.
Therefore, when data rewriting occurs on the volume, the position of the rewritten data block can be determined according to the recorded distribution and state of each data block on the volume, so that the copied data before rewriting can be uploaded to the cloud.
The copying module 20 is configured to, when data of a data block appearing in a volume to be backed up is rewritten, copy data before rewriting in the data block, where copying includes: and in the process of writing new data in the data block, copying the data before rewriting in the data block. In this embodiment, a snapshot method may be used to copy the data blocks on the volume to be backed up, and the snapshot method may be a copy-on-write method.
Referring to fig. 4, the data cloud backup system of the present embodiment further includes: the query module 23 is configured to query whether the data blocks on the current volume to be backed up are backed up according to the distribution and the state of the data blocks on the current volume to be backed up, which are obtained according to the current record. By inquiring the recorded bitmap, which data blocks are backed up and which data blocks are not backed up can be inquired and monitored, and whether the data blocks on the current volume to be backed up are backed up or not can be inquired.
Further, the data cloud backup system of this embodiment further includes:
and the backup module is used for sequentially copying each data block in the volume to be backed up after receiving the second instruction, and sequentially uploading the copied data to the cloud server for storage.
In the data cloud backup system of this embodiment, cloud backup can also be performed on the volumes to be backed up in an integral copy manner. And if the second instruction is received, the cloud backup of the volume to be backed up in an integral copying mode is selected, all the data blocks in the volume to be backed up are copied in sequence, and the copied data are uploaded to a cloud server for storage at one time.
The cloud backup mode can be selected when the data volume of the volume to be backed up is small, and the backup mode during rewriting can be selected to perform cloud backup when the data volume of the volume to be backed up is large, so that the bandwidth occupation can be reduced, and the time consumption can be reduced. Therefore, the data cloud backup system can flexibly select the backup mode, can meet various application requirements of users, and improves product competitiveness.
The data cloud backup method and system provided by the invention are introduced in detail above. The principles and embodiments of the present invention are explained herein using specific examples, which are presented only to assist in understanding the method and its core concepts. It should be noted that, for those skilled in the art, it is possible to make various improvements and modifications to the present invention without departing from the principle of the present invention, and those improvements and modifications also fall within the scope of the claims of the present invention.
Claims (10)
1. A data cloud backup method is characterized by comprising the following steps:
after receiving a first instruction, when data of a data block in a volume to be backed up is rewritten, copying the data before rewriting in the data block, and simultaneously recording the distribution and state of each data block on the current volume to be backed up;
and comparing the distribution and the state of each data block on the current to-be-backed-up volume with the recorded result when the data in the to-be-backed-up volume is rewritten last time, and uploading the data before the data block with the changed state is rewritten to a cloud server for storage.
2. The data cloud backup method according to claim 1, wherein when data rewriting has not occurred in each data block in the volume to be backed up, the distribution and state of each data block on the current volume to be backed up are recorded.
3. The data cloud backup method according to claim 1, wherein when data of a data block appearing in a volume to be backed up is rewritten, copying data before rewriting in the data block comprises:
and in the process of writing new data in the data block, copying the data before rewriting in the data block.
4. The data cloud backup method according to claim 1, further comprising: and inquiring whether the data blocks on the current volume to be backed up are backed up or not according to the distribution and the state of the data blocks on the volume to be backed up, which are obtained according to the current record.
5. The data cloud backup method according to any one of claims 1 to 4, further comprising:
after the second instruction is received, the data blocks in the volume to be backed up are sequentially copied, and the copied data are sequentially uploaded to a cloud server to be stored.
6. A data cloud backup system, comprising:
the copying module is used for copying the data before rewriting in the data block when the data of the data block in the volume to be backed up is rewritten after receiving the first instruction;
the recording module is used for recording the distribution and the state of each data block on the current volume to be backed up when the data of the data block in the volume to be backed up is rewritten after receiving the first instruction;
and the uploading module is used for comparing the distribution and the state of each data block on the current recorded volume to be backed up with the recorded result when the data in the volume to be backed up is rewritten last time, and uploading the data before the data block with the changed state is rewritten to the cloud service end for storage.
7. The data cloud backup system according to claim 6, wherein the recording module is further configured to record distribution and status of each data block on the current volume to be backed up when data overwriting does not occur in each data block in the volume to be backed up.
8. The data cloud backup system according to claim 6, wherein the copying module is configured to, when data of a data block appearing in the volume to be backed up is rewritten, copy data before rewriting in the data block, and include:
and in the process of writing new data in the data block, copying the data before rewriting in the data block.
9. The data cloud backup system of claim 6, further comprising:
and the query module is used for querying whether the data blocks on the current volume to be backed up are backed up or not according to the distribution and the state of the data blocks on the current volume to be backed up, which are obtained according to the current record.
10. The data cloud backup system according to any one of claims 6-9, further comprising:
and the backup module is used for sequentially copying each data block in the volume to be backed up after receiving the second instruction, and sequentially uploading the copied data to the cloud server for storage.
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| CN109460323A (en) * | 2018-11-14 | 2019-03-12 | 郑州云海信息技术有限公司 | A kind of method and apparatus that data generate cloud backup |
| CN109660611B (en) * | 2018-12-10 | 2021-08-31 | 浪潮(北京)电子信息产业有限公司 | Data storage method for cloud backup and data cloud backup method for storage system |
| CN111831472B (en) * | 2019-04-18 | 2023-12-22 | 阿里云计算有限公司 | Snapshot creation method and device and electronic equipment |
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| CN104978279A (en) * | 2014-12-30 | 2015-10-14 | 宁波江东圣阳软件有限公司 | Continuous data protection method based on data block |
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