CN110413447A - A kind of big data cluster resetting method and system - Google Patents
A kind of big data cluster resetting method and system Download PDFInfo
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- 238000003860 storage Methods 0.000 claims abstract description 18
- 230000002159 abnormal effect Effects 0.000 claims abstract description 12
- 238000012544 monitoring process Methods 0.000 claims abstract description 12
- 238000011084 recovery Methods 0.000 claims abstract description 10
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- 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
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- G06F11/1415—Saving, restoring, recovering or retrying at system level
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Abstract
The present invention provides a kind of big data cluster resetting method and system, storage by document track device to the condition monitoring and state machine of file destination to file status, when the installation and deployment operation of cluster occurs abnormal, big data manages platform and carries out system recovery, it selects Last status to be resetted from state machine by restorer if restoring failure, cluster or component refitting is carried out after problem to be repaired.Present invention hair is when clustered deploy(ment) or component mounting process occur irreversible abnormal, it can choose and reset to first previous normal condition, it avoids that original system normal configuration can not be gone back after individual elements or server install failure, the case where causing entire cluster unavailable, needing to expend time refitting whole server.Big data cluster setup error risk can be reduced, recovery time and the loss of maloperation bring of abnormality are effectively reduced.
Description
Technical field
The present invention relates to big data cluster automation installation and deployment process and operation management operating technology fields, and in particular to
A kind of big data cluster resetting method and system.
Background technique
In big data era, more enterprise institutions and individual use big data cluster service in deployment, such as
Hadoop, Hive and Spark etc..Hadoop is the open source reality of Google's GFS distributed storage and MapReduce programming model
Existing, the MapReduce frame of Google can be decomposed into an application program many parallel computation instructions, calculate section across a large amount of
Point handles very huge data set.A typical example using the frame is exactly that the search run in network data is calculated
Method.Hadoop is initially only related with web page index, rapidly develops the leading platform for becoming analysis big data.Hive is built upon
The data file of structuring can be mapped as a database table, and provided by a Tool for Data Warehouse on Hadoop
Sql sentence can be converted to MapReduce task and run by whole sql query function.Its advantage is that learning cost is low,
Simple MapReduce can be fast implemented by class SQL statement to calculate, it is not necessary to develop special MapReduce application, very
It is suitble to the statistical analysis of data warehouse.Spark is that (AMP of University of California Berkeley is tested UC Berkeley AMP Lab
Room) the universal parallel Computational frame of class Hadoop MapReduce increased income, Spark, which possesses Hadoop MapReduce, to be had
The advantages of having；But what it is different from MapReduce is --- output result can save in memory among Job, to no longer need
HDFS is read and write, therefore Spark can preferably be suitable for the calculation that data mining and machine learning etc. need the MapReduce of iteration
Method.Spark is a kind of open source cluster computing environment similar with Hadoop, but between the two there is also some differences,
Spark is set to show in terms of certain workloads more superior, in other words, Spark enables memory distributed data collection, removes
It is capable of providing outside interactive inquiry, it can be with Optimized Iterative workload.One big data cluster contain be not limited to
The application deployment of upper component, it usually needs a series of configuration modification is carried out to server.
The deployment installation of current big data cluster is generally operated using big data management platform, since early period is servicing
Inevitably there is the improperly-configured of careless omission or big data component in the configuration of device, often will appear cluster and component install failure
Situation, at this moment big data management platform may can not restore before system configuration cause it is in a dilemma, operator also because
The server system that has no way of finding out about it has been modified any configuration and server can not be restored to normal condition.Operator can only at this time
Artificially check to compare and attempt to restore system configuration, and easily malfunction, or the operation completed before abandoning and by server
Refitting system restarts to install.
Summary of the invention
The case where for often will appear cluster and component install failure when being operated using big data management platform, this
When big data management platform may can not restore before system configuration cause in a dilemma, operator is also because have no way of finding out about it
Server system has been modified any configuration and server can not be restored to normal condition.Operator can only artificially examine at this time
It looks into compare and attempts to restore system configuration, and easily malfunction, or abandon the operation completed before and server is reset into system,
The problem of restarting installation, the present invention provides a kind of big data cluster resetting method and system.
The technical scheme is that
On the one hand, technical solution of the present invention provides a kind of big data cluster resetting method, passes through document track device pair
Storage of the condition monitoring and state machine of file destination to file status, when the installation and deployment operation of cluster occurs abnormal, greatly
Data management platform carries out system recovery, selects Last status to be answered from state machine by restorer if restoring failure
, cluster or component refitting are carried out after problem to be repaired.
Further, the method specifically includes:
Big data management platform send instructions to when deployment installation operation document track device opening operation to target text
The state of part is monitored；
The change the file information monitored is transferred to state machine by document track device；
State machine will have the file of change to make a backup store, and generate the contrary operation note that can be restored to laststate
Record file；
Restorer executes contrary operation record file and restores the system to laststate and by new state synchronized to state
Manager；
Cluster or component refitting are carried out after problem to be repaired.
Further, the described big data management platform, which carries out sending instructions to document track device when deployment installation operation, opens
Before the step of opening the condition monitoring of operation respective file, comprising:
Full backup is carried out to system when initialization or the file being related to is installed to system configuration file and component
State backup is carried out, subsequent is done incremental backup.
Further, the state machine will have the file of change to make a backup store, and one can be restored to by generating one
The step of contrary operation record file of state, specifically includes:
When state machine receives the change the file information that document track device monitors, following processing is done:
When thering is file to be deleted, backup original, and generate the script of also original；
When having file to be created, this file is recorded, and generates the script for deleting file；
When thering is file to be modified, comparison document, and generate the script for restoring file difference；
Event time is recorded to above-mentioned processing operation and is merged into contrary operation record file by LIFO principle.
Further, state machine receives the change the file information that document track device monitors as renaming, change file category
Property when, being referred to file is modified, comparison document, and generate restore file difference script.
Further, this method further includes: state supervisor renames the storage of state machine, transitory state is increased newly
Or it deletes unwanted state and stores and regenerate a contrary operation record file.
Further, the described big data management platform, which carries out sending instructions to document track device when deployment installation operation, opens
The step of operation is monitored the state of file destination is opened to specifically include:
Big data management platform carries out sending instructions to document track device when deployment installation operation；
Document track device obtains the action name information for needing the file being monitored, and action name information is as this shape
The label of state storage.
On the other hand, technical solution of the present invention provides a kind of big data cluster resetting system, including big data management
Platform, document track device, state machine, restorer；
Big data manages platform, and it is corresponding to send instructions to document track device opening operation when for carrying out deployment installation operation
The condition monitoring of file；
Document track device, for being monitored to file status and by monitoring information transmission to state machine；
State machine, for will have the file of change to make a backup store, the file change for comparing installation front and back generates one
The contrary operation record file of laststate can be restored to；
Reset machine restores the system to laststate for executing contrary operation record file；
Big data manages platform, is also used to system recovery be carried out, if extensive when the installation and deployment operation of cluster occurs abnormal
Multiple failure then selects Last status to be resetted by restorer from state machine, and cluster or component weight are carried out after problem to be repaired
Dress.
Further, which further includes state supervisor；
State supervisor notifies state machine that server system configuration and file destination are first carried out state when for initializing
It backs up and stores；
State supervisor is renamed for the storage to state machine, is increased transitory state newly or is deleted unwanted shape
State stores and regenerates a contrary operation record file.
State supervisor is also used to receive restorer and executes the new state after contrary operation record file.
Further, state machine, be also used to file be deleted when, backup original, and generate and also original script；
When having file to be created, this file is recorded, and generates the script for deleting file；When thering is file to be modified, comparison document, and generate
Restore the script of file difference；
State machine is also used to be deleted operation to file, file is created operation, file is by modification operation record event
Time is simultaneously merged into contrary operation record file by LIFO principle.
Through this method and device when clustered deploy(ment) or component mounting process occur irreversible abnormal, reset can choose
To first previous normal condition, avoid that original system can not be gone back after individual elements or server (containing virtual machine) install failure normal
The case where configuration, causes entire cluster unavailable, needs to expend time refitting whole server.
As can be seen from the above technical solutions, the invention has the following advantages that present invention hair is pacified in clustered deploy(ment) or component
When dress process occurs irreversible abnormal, it can choose and reset to first previous normal condition, avoid in individual elements or server
Original system normal configuration can not be gone back after (containing virtual machine, similarly hereinafter) install failure, causes entire cluster unavailable, needs to expend the time
The case where resetting whole servers.Big data cluster setup error risk can be reduced, when effectively reducing the recovery of abnormality
Between and maloperation bring loss.
In addition, design principle of the present invention is reliable, structure is simple, has very extensive application prospect.
It can be seen that compared with prior art, the present invention have substantive distinguishing features outstanding and it is significant ground it is progressive, implementation
Beneficial effect be also obvious.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, for those of ordinary skill in the art
Speech, without creative efforts, is also possible to obtain other drawings based on these drawings.
Fig. 1 is a kind of schematic flow chart for big data cluster resetting method that the embodiment of the present invention one provides.
Fig. 2 is the composed structure of contrary operation record file in the embodiment of the present invention.
Fig. 3 is a kind of big data cluster resetting System Working Principle figure provided in an embodiment of the present invention.
Specific embodiment
Technical solution in order to enable those skilled in the art to better understand the present invention, below in conjunction with of the invention real
The attached drawing in example is applied, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described implementation
Example is only a part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, this field is common
Technical staff's every other embodiment obtained without making creative work, all should belong to protection of the present invention
Range.
Embodiment one
As shown in Figure 1, the embodiment of the present invention provides a kind of big data cluster resetting method, pass through document track device pair
Storage of the condition monitoring and state machine of file destination to file status, when the installation and deployment operation of cluster occurs abnormal, greatly
Data management platform carries out system recovery, selects Last status to be answered from state machine by restorer if restoring failure
, cluster or component refitting are carried out after problem to be repaired.
S1: full backup is carried out to system when initialization or the text being related to is installed to system configuration file and component
Part carries out state backup, and subsequent is done incremental backup；
In the present embodiment, when initialization state supervisor notice state machine first by server system configuration and file destination into
Row state backup simultaneously stores；It should be noted that full backup or snapshot are carried out to server system when initialization, it can also
The specified file that can be related to system configuration file and component installation carries out an init state backup.In Linux class system
In system, disk space shared by system configuration file is simultaneously little, other can also can be used directly using duplication operation in this operation
Backup tool work is implemented.
S2: big data management platform carries out sending instructions to document track device opening operation to target when deployment installation operation
The state of file is monitored；
That is, circular document tracker when big data management platform is operated, document track device is it follows that need
The file to be monitored, and the information such as action name can be obtained, the mark that the information such as action name are stored as this next state
Label identify convenient for user.In the present embodiment, document track can use linux kernel characteristic inotify tool as implement carrier, it
File system is monitored, and issues relevant event message, such as deletion, reading and writing operation etc. to tracker in time.inotify
It is worked by traditional filec descriptor, avoids busy poll, it is very low to the consumption of system.In addition, in other embodiments
The similar tools auxiliary such as pyinotify software or the inotify-tools of python language realization can be used to implement.Obviously,
This method and being not concerned with opens file, reads data etc. without change operation,
S3: the change the file information monitored is transferred to state machine by document track device；Creation file will received, deleted
File, modify file message when notify state machine immediately.
When state machine receives the message that document track device is sent, alignment processing is done:
When a. thering is file to be deleted, backup original, and generate the script of also original；
When b. having file to be created, this file is recorded, and generates the script for deleting file；
When c. thering is file to be modified, comparison document, and generate the script for restoring file difference；Renaming, change file category
Property is referred to file and is modified；
D. event time is recorded to the above operation and is merged into contrary operation record file by LIFO principle, such as attached drawing 2
It is shown.
S4: state machine will have the file of change to make a backup store, and generate the reverse behaviour that can be restored to laststate
It notes down file；
S5: restorer executes contrary operation record file and restores the system to laststate and by new state synchronized to shape
State manager.
Execute contrary operation record file: including by newly-increased file delete, by the file access pattern deleted, by what is modified
File reduction etc. resets system associated documents to laststate whereby.
State supervisor can rename the storage of state machine, increase transitory state newly or delete unwanted state
It stores and regenerates a contrary operation record file.
S6: cluster or component refitting are carried out after problem to be repaired.
Big data manages the operator of platform when executing foreseeable deployment installation operation, and circular document tracker will supervise
The file of control is simultaneously responsible for by tracker by document change notice state machine, by the state after state machine record storage change.Work as collection
When group's installation appearance is abnormal, big data management platform can first be attempted to be restored, and pass through restorer if restoring failure from shape
State machine selection Last status is resetted, and cluster or component refitting can be carried out after problem to be repaired；State supervisor is also
The operation such as it can carry out periodic backup operations or the storage of state machine is deleted, renamed.
Embodiment two
As shown in figure 3, technical solution of the present invention provides a kind of big data cluster resetting system, including big data management
Platform 101, document track device 102, state machine 105, restorer 104；
Big data manages platform 101, sends instructions to document track device opening operation when for carrying out deployment installation operation
The condition monitoring of respective file；
Document track device 102, for being monitored to file status and by monitoring information transmission to state machine；
State machine 105, for will have the file of change to make a backup store, the file change for comparing installation front and back generates one
A contrary operation record file for being restored to laststate；
Reset machine 104 restores the system to laststate for executing contrary operation record file；
Big data manages platform 101, is also used to carry out system recovery when the installation and deployment operation of cluster occurs abnormal,
It selects Last status to be resetted from state machine 105 by restorer 104 if restoring failure, is collected after problem to be repaired
Group or component refitting.
The system further includes state supervisor 103；
State supervisor 103, when for initializing notify state machine 105 first by server system configuration and file destination into
Row state backup simultaneously stores；
State supervisor 103 is renamed for the storage to state machine 105, and newly-increased transitory state or deletion are not required to
The state wanted stores and regenerates a contrary operation record file.
State supervisor 103 is also used to receive restorer and executes the new state after contrary operation record file.
State machine 105, be also used to file be deleted when, backup original, and generate and also original script；There is file
When being created, this file is recorded, and generates the script for deleting file；When thering is file to be modified, comparison document, and generate recovery text
The script of part difference；
State machine 105 is also used to be deleted operation to file, file is created operation, file is recorded by modification operation
Event time is simultaneously merged into contrary operation record file by LIFO principle.Last in, first out by LIFO:Last in, First out..
State supervisor 103 notifies state machine 105 that server system configuration and file destination are first carried out one when initialization
A state backup simultaneously stores.Big data manages the operator of platform 101 when executing foreseeable deployment installation operation, notice text
The file to be monitored of part tracker 102 is simultaneously responsible for by document track device 102 by document change notice state machine 105, by state machine
State after the change of 105 record storages.When cluster, which is installed, occurs abnormal, big data management platform 101 can first be attempted to carry out
Restore, selects Last status to be resetted from state machine 105 by restorer if restoring failure, after problem to be repaired just
It can carry out cluster or component refitting；State supervisor 103 can also carry out periodic backup operations or carry out to the storage of state machine
The operations such as deletion, renaming
The present invention is used for the change state of the server file (including file) before and after each erection stage of tracing record,
State before server system file access pattern to installation can not had to all refitting systems when failing by a certain erection stage.
This method and device can reduce big data cluster setup error risk, effectively reduce recovery time and the maloperation of abnormality
Bring loss.
Although by reference to attached drawing and combining the mode of preferred embodiment to the present invention have been described in detail, the present invention
It is not limited to this.Without departing from the spirit and substance of the premise in the present invention, those of ordinary skill in the art can be to the present invention
Embodiment carry out various equivalent modifications or substitutions, and these modifications or substitutions all should in covering scope of the invention/appoint
What those familiar with the art in the technical scope disclosed by the present invention, can easily think of the change or the replacement, answer
It is included within the scope of the present invention.Therefore, protection scope of the present invention is answered described is with scope of protection of the claims
It is quasi-.
Claims (10)
1. a kind of big data cluster resetting method, it is characterised in that by document track device to the condition monitoring of file destination
Storage with state machine to file status, when the installation and deployment operation of cluster occurs abnormal, big data manages platform system
System restores, and selects Last status to be resetted from state machine by restorer if restoring failure, carries out after problem to be repaired
Cluster or component refitting.
2. a kind of big data cluster resetting method according to claim 1, which is characterized in that the method is specific
Include:
Big data management platform carries out sending instructions to document track device opening operation to file destination when deployment installation operation
State is monitored；
The change the file information monitored is transferred to state machine by document track device；
State machine will have the file of change to make a backup store, and generate the contrary operation record text that can be restored to laststate
Part；
Restorer executes contrary operation record file and restores the system to laststate and by new state synchronized to condition managing
Device；
Cluster or component refitting are carried out after problem to be repaired.
3. a kind of big data cluster resetting method according to claim 2, which is characterized in that the big data pipe
Platform carries out the step of sending instructions to the condition monitoring of document track device opening operation respective file when deployment installation operation
Before, comprising:
The file for carrying out a full backup to system when initialization or being related to system configuration file and component installation carries out
State backup, subsequent is done incremental backup.
4. a kind of big data cluster resetting method according to claim 3, which is characterized in that the state machine will
The step of having the file of change to make a backup store, generating a contrary operation record file that can be restored to laststate, is specific
Include:
When state machine receives the change the file information that document track device monitors, following processing is done:
When thering is file to be deleted, backup original, and generate the script of also original；
When having file to be created, this file is recorded, and generates the script for deleting file；
When thering is file to be modified, comparison document, and generate the script for restoring file difference；
Event time is recorded to above-mentioned processing operation and is merged into contrary operation record file by LIFO principle.
5. a kind of big data cluster resetting method according to claim 4, which is characterized in that state machine receives file
When the change the file information that tracker monitors is renaming, change file attribute, it is referred to file and is modified, comparison document,
And generate the script for restoring file difference.
6. a kind of big data cluster resetting method according to claim 5, which is characterized in that this method further include:
State supervisor renames the storage of state machine, newly-increased transitory state or deletes unwanted state storage and lays equal stress on new life
File is recorded at a contrary operation.
7. a kind of big data cluster resetting method according to claim 6, which is characterized in that the big data pipe
Platform send instructions to document track device opening operation when deployment installation operation and be monitored to the state of file destination
The step of specifically include:
Big data management platform carries out sending instructions to document track device when deployment installation operation；
Document track device obtains the action name information for needing the file being monitored, and action name information is deposited as this next state
The label of storage.
8. a kind of big data cluster resetting system, it is characterised in that manage platform, document track device, state including big data
Machine, restorer；
Big data manages platform, sends instructions to document track device opening operation respective file when for carrying out deployment installation operation
Condition monitoring；
Document track device, for being monitored to file status and by monitoring information transmission to state machine；
State machine, for will have the file of change to make a backup store, file change generation one for comparing installation front and back can be extensive
The contrary operation record file of laststate is arrived again；
Reset machine restores the system to laststate for executing contrary operation record file；
Big data manages platform, is also used to carry out system recovery when the installation and deployment operation of cluster occurs abnormal, if restoring to lose
It loses, selects Last status to be resetted from state machine by restorer, cluster or component refitting are carried out after problem to be repaired.
9. a kind of big data cluster resetting system according to claim 8, it is characterised in that the system further includes shape
State manager；
State supervisor notifies state machine that server system configuration and file destination are first carried out state backup when for initializing
And it stores；
State supervisor is renamed for the storage to state machine, and newly-increased transitory state or the unwanted state of deletion are deposited
It stores up and regenerates a contrary operation record file.
State supervisor is also used to receive restorer and executes the new state after contrary operation record file.
10. a kind of big data cluster resetting system according to claim 9, which is characterized in that state machine is also used to
When thering is file to be deleted, backup original, and generate the script of also original；When thering is file to be created, this file is recorded, and raw
At the script for deleting file；When thering is file to be modified, comparison document, and generate the script for restoring file difference；
State machine is also used to be deleted operation to file, file is created operation, file is by modification operation record event time
And contrary operation record file is merged by LIFO principle.
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