CN116521622B - Method and system for automatically managing data based on data snapshot - Google Patents
Method and system for automatically managing data based on data snapshot Download PDFInfo
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- CN116521622B CN116521622B CN202310786449.4A CN202310786449A CN116521622B CN 116521622 B CN116521622 B CN 116521622B CN 202310786449 A CN202310786449 A CN 202310786449A CN 116521622 B CN116521622 B CN 116521622B
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- 238000000034 method Methods 0.000 title claims abstract description 31
- 230000001360 synchronised effect Effects 0.000 claims abstract description 59
- 238000004140 cleaning Methods 0.000 claims description 13
- 238000006243 chemical reaction Methods 0.000 claims description 12
- 238000003672 processing method Methods 0.000 claims description 3
- 230000002159 abnormal effect Effects 0.000 abstract description 8
- 230000008447 perception Effects 0.000 abstract description 5
- 238000011084 recovery Methods 0.000 abstract description 5
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000003203 everyday effect Effects 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 238000013523 data management Methods 0.000 description 1
- 230000002452 interceptive effect Effects 0.000 description 1
- 238000007726 management method Methods 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 230000001105 regulatory effect Effects 0.000 description 1
- 238000003860 storage Methods 0.000 description 1
Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/10—File systems; File servers
- G06F16/11—File system administration, e.g. details of archiving or snapshots
- G06F16/128—Details of file system snapshots on the file-level, e.g. snapshot creation, administration, deletion
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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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/10—File systems; File servers
- G06F16/18—File system types
- G06F16/1873—Versioning file systems, temporal file systems, e.g. file system supporting different historic versions of files
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/21—Design, administration or maintenance of databases
- G06F16/219—Managing data history or versioning
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/27—Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Abstract
The invention relates to a method and a system for automatically managing data based on data snapshot, comprising the following steps: s1: receiving a data pulling request of a service system, processing a data file, feeding back a data processing result to the service system, updating a synchronous recording state by the service system, and storing the data processing result; s2: and reading the synchronous record, acquiring the data file and the position of the data file, converting the data file into service data, storing the version of the data file, and acquiring the corresponding service data by the service system according to the version identification of the data file. The method and the system for automatically managing the data based on the data snapshot can monitor and identify abnormal conditions of data processing, and realize rapid and smooth data switching recovery without perception and interruption of service of a user.
Description
Technical Field
The invention relates to the technical field of data management, in particular to a method and a system for automatically managing data based on data snapshot.
Background
In the financial field, large data platforms are typically used to manage production data from different sources, different categories, and different formats. And processing the data according to the service requirement and synchronizing the data to a corresponding service system. For example, CRM customer relationship management systems require real-time and timed acquisition of a large number of data support business operations from a large data platform, including customer behavior portraits, action trajectories, and intent recognition data.
In production, scenes where a large data platform frequently interacts with a business system in synchronization with a large amount of data are visible everywhere. How to ensure correct data synchronization and discover and quickly recover in time when the data is abnormal. The current main stream is to use the file and kafka mode to perform interactive synchronization and then update the business system data in large quantities. Once the conditions such as abnormal data, failure of hardware equipment or natural disasters are met, the data of the service system are lost, destroyed and even destroyed. In this case, it is only manually operated to restore the data, resynchronize the data, and then clean and modify the data to ensure that it is up-to-date and correct.
Synchronization of large data to a business system is often prone to errors, requiring frequent human intervention to ensure accuracy of the data. When a large amount of data is abnormally processed, the processing with large workload and long time consumption such as manual data restoration, data cleaning and data synchronization is needed. And during data processing, service interruption is caused by data unavailability, which has a great influence on the service. The whole processing process can not achieve the data recovery without perception, interruption of service and rapid and smooth.
Disclosure of Invention
In order to achieve the purpose of the invention, the invention provides a method for automatically managing data based on data snapshot, which comprises the following steps:
s1: receiving a data pulling request of a service system, processing a data file, feeding back a data processing result to the service system, updating a synchronous recording state by the service system, and storing the data processing result;
s2: and reading the synchronous record, acquiring the data file and the position of the data file, converting the data file into service data, storing the version of the data file, and acquiring the corresponding service data by the service system according to the version identification of the data file.
Preferably, before the step S1, the method further includes:
step S01: judging whether a data pulling request of the service system is received within a preset time, and if not, updating the synchronous record into an initialized state.
Preferably, the specific step of step S1 further includes:
and receiving a data pulling request of the service system, updating the synchronous record state into a requested state, processing the data file, feeding back a processing result to the service system, updating the synchronous record into a received state after the service system receives the data processing result, and then storing the data processing result.
Preferably, the specific step of converting the data file into the service data and saving the version of the data file in step S2 includes:
acquiring a synchronous record of the received state in a preset time, converting the data file into service data, if the conversion is successful, updating the synchronous record into a processing completion state, and storing a data file version;
if the conversion fails, the synchronous record is updated to be in a processing failure state.
Preferably, the specific step of step S2 further includes:
and judging the residence time of the synchronous recording state in the preset time, and if the residence time exceeds a first threshold value, carrying out early warning prompt.
Preferably, the specific step of step S2 further includes:
and judging the residence time of the service data, and cleaning the corresponding service data when the residence time exceeds a second threshold value.
Preferably, the present invention also provides a system for automatically managing data based on data snapshot, comprising:
big data module: the data processing method comprises the steps of receiving a data pulling request of a service module, processing a data file and feeding back a data processing result to the service module;
the method is also used for reading the synchronous record, acquiring the data file and the position of the data file, converting the data file into service data and storing the version of the data file;
and a service module: the synchronous record state is updated according to the processing result and the data processing result is saved;
and the method is also used for acquiring corresponding service data according to the version identification of the data file.
Preferably, the method further comprises:
a first timing module: judging whether a data pulling request of a service module is received within a preset time, and if not, updating the synchronous record into an initialized state;
a second timing module: acquiring a synchronous record of the received state in a preset time, converting the data file into service data, if the conversion is successful, updating the synchronous record into a processing completion state, and storing a data file version;
if the conversion fails, the synchronous record is updated to be in a processing failure state.
Preferably, the method further comprises:
and the early warning module is used for: and judging the residence time of the synchronous recording state in the preset time, and if the residence time exceeds a first threshold value, carrying out early warning prompt.
Preferably, the method further comprises:
and a cleaning module: and judging the residence time of the service data, and cleaning the corresponding service data when the residence time exceeds a second threshold value.
The beneficial effects of the invention are as follows: the method and the system for automatically managing the data based on the data snapshot can monitor and identify abnormal conditions of data processing, and realize rapid and smooth data switching recovery without perception and interruption of service of a user.
Drawings
The foregoing and other objects, features and advantages of the invention will be apparent from the following more particular description of preferred embodiments of the invention, as illustrated in the accompanying drawings. Like reference numerals refer to like parts throughout the drawings, and the drawings are not intentionally drawn to scale on actual size or the like, with emphasis on illustrating the principles of the invention.
FIG. 1 is a schematic diagram of a specific flow provided in an embodiment of the present invention;
FIG. 2 is a schematic flow chart of acquiring data and timing cleaning data according to an embodiment of the present invention;
FIG. 3 is a schematic flow chart of a synchronous recording state according to an embodiment of the present invention;
FIG. 4 is a schematic flow diagram of a timing module according to an embodiment of the present invention;
fig. 5 is a schematic flowchart of a specific process for automatically managing data snapshot in data according to an embodiment of the present invention.
Description of the embodiments
The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and specific examples, so that those skilled in the art can better understand the present invention and implement it, but the examples are not limited thereto.
Referring to fig. 1-5, an embodiment of the present invention provides a method for automatically managing data based on data snapshot, including the following steps:
s1: receiving a data pulling request of a service system, processing a data file, feeding back a data processing result to the service system, updating a synchronous recording state by the service system, and storing the data processing result;
s2: the method comprises the steps of reading synchronous records, obtaining data files and the positions of the synchronous records, converting the data files into service data, storing the versions of the data files, and obtaining corresponding service data by a service system according to the version identification of the data files (the data processed by each synchronous record has the same version number, the version number is stored in a version number field of a database snapshot data table and is mainly used for identifying the version of the data, the version number of the currently used effective data is always stored in the system, and when a user interface calls a back-end service, the back-end service firstly obtains the current data version and then queries the data in the database through the current version number).
Referring to fig. 1-5, the method and system for automatically managing data based on data snapshot provided by the invention can monitor and identify abnormal conditions of data processing, and realize rapid and smooth data switching recovery without perception and interruption of service by a user.
Referring to fig. 1 to 5, in a preferred embodiment, the step S1 further includes:
step S01: and judging whether a data pulling request of the service system is received within a preset time, if not, updating the synchronous record into an initialized state (normally, only one synchronous record exists in each type of data every day, and one synchronous record is automatically generated every day through the preset time or timing, and the recorded state is initialized).
Referring to fig. 1 to 5, in a preferred embodiment, the specific steps of step S1 further include:
and receiving a data pulling request of the service system, and updating the synchronous record state to a requested state (after the data synchronization request is initiated by the service system and the service system sends the data pulling request to the big data system, if the request is successfully sent out, updating the synchronous record state to be requested, if the big data system has processed the data and generates a related file, sending file storage information back to the service system, and after the service system receives the data synchronization request successfully, updating the synchronous record state to be received).
Processing the data file, feeding back the processing result to the service system, updating the synchronous record to a received state after the service system receives the data processing result, and then storing the data processing result.
Referring to fig. 1-5, in a further preferred embodiment, the specific steps of converting the data file into service data and saving the data file version in step S2 include:
acquiring a synchronous record of the received state in a preset time, converting the data file into service data (data available to a service system), if the conversion is successful, updating the synchronous record into a processing completion state, and storing a data file version;
if the conversion fails (unpredictable errors occur, data is abnormal, etc.), the synchronous record is updated to be in a processing failure state.
Referring to fig. 1-5, in a further preferred embodiment, the specific steps of step S2 further include:
and judging the residence time of the synchronous record state within the preset time, if the residence time exceeds a first threshold, carrying out early warning prompt (checking the residence time of each state (the states of requested, accepted, successful and failed processing and the like) at fixed time, setting the longest residence time of each state according to the actual processing time, monitoring whether the residence time of the initialized, requested and received states exceeds a certain time threshold, and when the residence time exceeds the first threshold, sending out early warning prompt, and notifying the staff through a message, a short message or a mailbox and processing in time).
Referring to fig. 1-5, in a preferred embodiment, the specific steps of step S2 further include:
judging the residence time of the business data, when the residence time exceeds a second threshold (more than 1 hour or one day, the specific threshold range is not limited), cleaning the corresponding business data (by the conditions of longer residence time or data version before N days, automatic cleaning of the business data is needed because the business data cannot be continuously used and the like exist), the cleaning time is once a day or once a third day, the specific time can be regulated according to the actual condition, and the purpose of avoiding more snapshot data is mainly to avoid more snapshot data
Referring to fig. 1 to 5, in an embodiment provided by the present invention, the method further includes:
when the record initialization fails: after the error causes are resolved, the timing task (or within a preset time) automatically reinitializes a synchronous record.
When the data request is initiated to fail: the timing task (or within a preset time) will automatically reinitiate the data pull request after the error cause is resolved.
When the data reception fails: if the information pushed by the big data system is wrong, the big data system is enabled to reprocess the data and push the data information to the service system.
When the data processing fails, the following steps: if the data format provided by the big data system is abnormal, the processing failure is caused, the state is reset back to 'requested' through the configuration mode, the big data system is enabled to reprocess and push the data information, and the timing task (or within the preset time) can be automatically reprocessed.
When dirty data is reprocessed: the processing state is updated to be 'requested', the big data system is informed to reprocess the data and push the data information to the service system.
Referring to fig. 1-5, in a further preferred embodiment, the present invention further provides a system for automatically managing data based on data snapshot, comprising:
big data module: the data processing method comprises the steps of receiving a data pulling request of a service module, processing a data file and feeding back a data processing result to the service module;
the method is also used for reading the synchronous record, acquiring the data file and the position of the data file, converting the data file into service data and storing the version of the data file;
and a service module: the synchronous record state is updated according to the processing result and the data processing result is saved;
and the method is also used for acquiring corresponding service data according to the version identification of the data file.
Referring to fig. 1-5, in a preferred embodiment, the method further comprises:
a first timing module: judging whether a data pulling request of a service module is received within a preset time, and if not, updating the synchronous record into an initialized state;
a second timing module: acquiring a synchronous record of the received state in a preset time, converting the data file into service data, if the conversion is successful, updating the synchronous record into a processing completion state, and storing a data file version;
if the conversion fails, the synchronous record is updated to be in a processing failure state.
Referring to fig. 1-5, in a preferred embodiment, the method further comprises:
and the early warning module is used for: and judging the residence time of the synchronous recording state in the preset time, and if the residence time exceeds a first threshold value, carrying out early warning prompt.
Referring to fig. 1-5, in a preferred embodiment, the method further comprises:
and a cleaning module: and judging the residence time of the service data, and cleaning the corresponding service data when the residence time exceeds a second threshold value.
The beneficial effects of the invention are as follows: the invention provides a method and a system for automatically managing data based on data snapshot, which can monitor and identify abnormal conditions of data processing and realize quick and smooth data switching recovery without perception and interruption of service of a user.
The foregoing description is only of the preferred embodiments of the present invention, and is not intended to limit the scope of the invention, but rather is intended to cover any equivalents of the structures or equivalent processes disclosed herein or in the alternative, which may be employed directly or indirectly in other related arts.
Claims (5)
1. A method for automatically managing data based on a data snapshot, comprising the steps of:
s01: judging whether a data pulling request of a service system is received within a preset time, and if not, updating the synchronous record into an initialized state;
s1: receiving a data pulling request of a service system, processing a data file, feeding back a data processing result to the service system, updating a synchronous recording state by the service system, and storing the data processing result;
s2: reading the synchronous record, acquiring the data file and the position of the synchronous record, acquiring the synchronous record of the received state in a preset time, converting the data file into service data, if the conversion is successful, updating the synchronous record into a processing completion state, and storing the version of the data file; if the conversion fails, updating the synchronous record into a processing failure state; the service system acquires corresponding service data according to the version identification of the data file;
the specific steps of the step S2 further include: and judging the residence time of the synchronous recording state in the preset time, and if the residence time exceeds a first threshold value, carrying out early warning prompt.
2. The method for automatically managing data based on data snapshot according to claim 1, wherein the specific steps of step S1 further include:
and receiving a data pulling request of the service system, updating the synchronous record state into a requested state, processing the data file, feeding back a processing result to the service system, updating the synchronous record into a received state after the service system receives the data processing result, and then storing the data processing result.
3. The method for automatically managing data based on data snapshot as recited in claim 1, wherein the specific step of step S2 further includes:
and judging the residence time of the service data, and cleaning the corresponding service data when the residence time exceeds a second threshold value.
4. A system for automating management of data based on a snapshot of the data, comprising:
big data module: the data processing method comprises the steps of receiving a data pulling request of a service module, processing a data file and feeding back a data processing result to the service module;
the method is also used for reading the synchronous record, acquiring the data file and the position of the data file, converting the data file into service data and storing the version of the data file;
and a service module: the synchronous record state is updated according to the processing result and the data processing result is saved;
the method is also used for acquiring corresponding service data according to the version identification of the data file;
and the early warning module is used for: judging the residence time of the synchronous recording state in the preset time, and if the residence time exceeds a first threshold value, carrying out early warning prompt;
a first timing module: judging whether a data pulling request of a service module is received within a preset time, and if not, updating the synchronous record into an initialized state;
a second timing module: acquiring a synchronous record of the received state in a preset time, converting the data file into service data, if the conversion is successful, updating the synchronous record into a processing completion state, and storing a data file version;
if the conversion fails, the synchronous record is updated to be in a processing failure state.
5. The system for automatically managing data based on data snapshots of claim 4, further comprising:
and a cleaning module: and judging the residence time of the service data, and cleaning the corresponding service data when the residence time exceeds a second threshold value.
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