CN110555150B - Data monitoring method, device, equipment and storage medium - Google Patents

Data monitoring method, device, equipment and storage medium Download PDF

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CN110555150B
CN110555150B CN201910848592.5A CN201910848592A CN110555150B CN 110555150 B CN110555150 B CN 110555150B CN 201910848592 A CN201910848592 A CN 201910848592A CN 110555150 B CN110555150 B CN 110555150B
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data
metadata
database
search server
index
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CN110555150A (en
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吴赛
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Jiangsu Manyun Software Technology Co Ltd
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Jiangsu Manyun Software Technology Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/95Retrieval from the web
    • G06F16/951Indexing; Web crawling techniques
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/95Retrieval from the web
    • G06F16/958Organisation or management of web site content, e.g. publishing, maintaining pages or automatic linking
    • G06F16/972Access to data in other repository systems, e.g. legacy data or dynamic Web page generation

Abstract

The embodiment of the invention discloses a data monitoring method, a device, equipment and a storage medium, wherein the method comprises the following steps: acquiring a monitoring configuration rule, wherein the monitoring configuration rule is used for configuring key data to be compared, and the key data is used for appointing at least one target dimension of description data; according to the key data, respectively acquiring metadata in an index database of a search server and a database storing business data; and comparing the consistency of the metadata in the index database with the metadata in the database, and determining whether the index database of the search server has data abnormality according to the comparison result. The embodiment of the invention solves the problem of a large amount of resource waste caused by the adoption of a method of re-filling all data into the index database when the problem of inconsistent search server data exists in the prior art, realizes efficient monitoring of the search server data consistency, and improves the flexibility and the applicability of the method through flexible configuration of key data.

Description

Data monitoring method, device, equipment and storage medium
Technical Field
The embodiment of the invention relates to the technical field of internet, in particular to a data monitoring method, a device, equipment and a storage medium.
Background
The ElasticSearch is a Lucene-based search server that provides a distributed multi-user capable full-text search engine. The elastic search may synchronize data from an upper service and provide a data search service, but during the data synchronization process of the elastic search, there may be message delay, which may cause a problem that the data of the elastic search and the upper service are inconsistent. In addition, data processing exception and the like also cause the problem of data inconsistency.
In the face of data inconsistency, the prior art usually updates data by periodically refilling all data into the index library of the elastic search. However, this method will cause a lot of waste of resources and is inefficient.
Disclosure of Invention
Embodiments of the present invention provide a data monitoring method, apparatus, device and storage medium, so as to efficiently solve the problem of inconsistent data in the prior art.
In a first aspect, an embodiment of the present invention provides a data monitoring method, including:
acquiring a monitoring configuration rule, wherein the monitoring configuration rule is used for configuring key data to be compared, and the key data is used for appointing at least one target dimension of description data;
according to the key data, respectively acquiring metadata in an index database of a search server and a database storing business data;
and comparing the consistency of the metadata in the index database with the metadata in the database, and determining whether the index database of the search server has data abnormality according to a comparison result.
In a second aspect, an embodiment of the present invention further provides a data monitoring apparatus, including:
the system comprises a rule acquisition module, a rule configuration module and a comparison module, wherein the rule configuration module is used for acquiring a monitoring configuration rule, the monitoring configuration rule is used for configuring key data to be compared, and the key data is used for specifying at least one target dimension of description data;
the metadata acquisition module is used for respectively acquiring metadata in an index database of the search server and a database storing business data according to the key data;
and the data comparison module is used for comparing the consistency of the metadata in the index database with the metadata in the database and determining whether the index database of the search server has data abnormality according to the comparison result.
In a third aspect, an embodiment of the present invention further provides a computer device, including:
one or more processors;
a storage device to store one or more programs,
when executed by the one or more processors, cause the one or more processors to implement a data monitoring method as in any embodiment of the invention.
In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the data monitoring method according to any embodiment of the present invention.
The embodiment of the invention configures the key data to be compared in the monitoring configuration rule in advance so that the data monitoring device can determine the key data according to the monitoring configuration rule, respectively obtains the metadata in the index database of the search server and the database storing the business data, and finally determines whether the index database of the search server has data abnormality or not by comparing the consistency of the metadata in the index database and the metadata in the database. Therefore, the problem of a large amount of resources waste caused by the fact that a method of re-filling all data into an index base is adopted when the problem of inconsistent search server data exists in the prior art is solved, the data consistency of the search server is efficiently monitored, and the flexibility and the applicability of the method are improved through flexible configuration of key data.
Drawings
FIG. 1 is a flow chart of a data monitoring method according to a first embodiment of the invention;
FIG. 2 is a flow chart of a data monitoring method according to a second embodiment of the present invention;
fig. 3 is a schematic structural diagram of a data monitoring apparatus according to a third embodiment of the present invention;
fig. 4 is a schematic structural diagram of a computer device in the fourth embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
Example one
Fig. 1 is a flowchart of a data monitoring method in a first embodiment of the present invention, which is applicable to monitoring data consistency of an elastic search server. The method may be performed by a data monitoring apparatus, which may be implemented in software and/or hardware, and may be configured in a computer device, such as a server. As shown in fig. 1, the method specifically includes:
s101, a monitoring configuration rule is obtained, wherein the monitoring configuration rule is used for configuring key data to be compared, and the key data are used for specifying at least one target dimension of description data.
Specifically, the monitoring configuration rule may be configured through a configuration center of the data monitoring device, and the monitoring configuration rule is loaded after the data monitoring device is started to obtain the key data.
Wherein the key data is used to specify at least one target dimension describing the data. Illustratively, in the shipping field, search servers are used to provide query services regarding shipping orders, each of which is described by a different dimension, such as time to order, delivery of the goods, vehicle information, shipping route, or order price. Then, for the query service of the order, at least one target dimension meeting the monitoring requirement can be selected from the different dimensions to be used as an object of the subsequent comparison. Alternatively, a relatively important target dimension for order data may be selected to be configured in the monitoring configuration rule. And according to the requirement of practical application, the monitoring configuration rule can be adjusted at any time to realize flexible configuration.
And S102, respectively acquiring metadata in an index database of a search server and a database storing business data according to the key data.
Since the key data are used for designating at least one target dimension of the description data, the data corresponding to the target dimensions, that is, the metadata, can be respectively obtained from the index database of the search server and the database storing the service data according to the key data.
Therefore, optionally, obtaining metadata in the index database of the search server and the database storing the service data according to the key data respectively includes:
determining at least one target dimension to be compared according to the key data;
and respectively extracting metadata corresponding to each target dimension in an index database of the search server and a database stored with the service data.
S103, comparing the consistency of the metadata in the index database with the metadata in the database, and determining whether the index database of the search server has data abnormality according to the comparison result.
The search server writes data into the index database by performing data synchronization with the database, thereby providing a search service for the data, but the problem of data inconsistency may be caused due to message delay and the like. And comparing the metadata extracted from the index database and the database based on the same key data, and if the comparison result is consistent, judging that no data abnormality occurs in the index database of the search server.
Therefore, optionally, comparing the metadata in the index repository with the metadata in the database to determine whether the index repository of the search server has data abnormality according to the comparison result, including:
comparing whether the metadata in the index database is consistent with the metadata in the database;
and if the metadata corresponding to any target dimension is inconsistent, determining that the index database of the search server has data abnormality.
When a plurality of target dimensions are provided, if the metadata comparison result of one target dimension is inconsistent, it can be determined that the index database of the search server has data abnormality.
In addition, it should be noted that the data monitoring method in the embodiment of the present invention may be implemented independently from the search service, so that the coupling with the search service is small, and the search service function of the search server is not affected in the process of implementing data monitoring.
The embodiment of the invention configures the key data to be compared in the monitoring configuration rule in advance so that the data monitoring device can determine the key data according to the monitoring configuration rule, respectively obtains the metadata in the index database of the search server and the database storing the business data, and finally determines whether the index database of the search server has data abnormality or not by comparing the consistency of the metadata in the index database and the metadata in the database. Therefore, the problem of a large amount of resources waste caused by the fact that a method of re-filling all data into an index base is adopted when the problem of inconsistent search server data exists in the prior art is solved, the data consistency of the search server is efficiently monitored, and the flexibility and the applicability of the method are improved through flexible configuration of key data.
Example two
Fig. 2 is a flowchart of a data monitoring method in the second embodiment of the present invention, and the second embodiment of the present invention is further optimized based on the first embodiment of the present invention. As shown in fig. 2, the method includes:
s201, obtaining a monitoring configuration rule, wherein the monitoring configuration rule is used for configuring key data to be compared, and the key data is used for appointing at least one target dimension of description data.
S202, according to the key data, metadata are respectively obtained in an index database of a search server and a database storing business data.
S203, comparing the consistency of the metadata in the index database and the metadata in the database, and determining whether the index database of the search server has data abnormality according to the comparison result.
And S204, if the index database is determined to have data abnormality, determining abnormal data information according to the comparison result, writing the abnormal data information into an abnormal index, and displaying the abnormal index in a visual mode.
The metadata with inconsistency determined in the comparison process is the abnormal data information, the metadata included in the abnormal data information and the information such as the corresponding target dimension can be written into the abnormal index, and the abnormal index can be displayed in a visual mode so that monitoring personnel can check the abnormal data information.
The embodiment of the present invention is not limited in any way, and for example, the abnormal data may be formatted and displayed through a time dimension of occurrence of an abnormality, an ID dimension of the abnormal data, a data table dimension of the abnormal data, and the like.
S205, repairing the abnormal data information according to a pre-acquired abnormal data repairing strategy; and if the repairing times reach a preset threshold value and the repairing fails, jumping to a manual repairing channel.
The abnormal data repair policy may be configured according to the needs of the service, which is not limited in this embodiment of the present application. When the number of times of automatic repair reaches a preset threshold value, for example, 3 times, the automatic repair does not need to be continued, information such as repair failure can be prompted, a manual repair channel is skipped, monitoring personnel are guided to perform manual repair, and therefore repair efficiency is improved. If the repair is successful, the repair log may also be saved.
In a specific implementation mode, when the search server automatically feeds back data and data are abnormal, an alarm can be given, and establishment of abnormal indexes, visual display of abnormal data, automatic repair, manual repair and the like are achieved according to the operation, so that a complete unified monitoring platform for data consistency of the search server is achieved.
The embodiment of the invention monitors the consistency of the data of the search server based on the key data, establishes the abnormal data index and the abnormal visual display data after determining that the data in the index database of the search server is abnormal, and realizes automatic repair and manual repair, thereby not only solving the problem of a large amount of resource waste caused by a method of re-filling all data into the index database when the problem of the data inconsistency of the search server is faced in the prior art, realizing the high-efficiency monitoring of the data consistency of the search server, but also realizing the abnormal visual display and repair, building a whole set of monitoring platform aiming at the data consistency of the search server, and realizing the monitoring service more efficiently and conveniently on the basis of saving resources.
EXAMPLE III
Fig. 3 is a schematic structural diagram of a data monitoring apparatus in a third embodiment of the present invention, which is applicable to a case of monitoring data consistency of an elastic search server. As shown in fig. 3, the apparatus includes:
a rule obtaining module 310, configured to obtain a monitoring configuration rule, where the monitoring configuration rule is used to configure key data to be compared, and the key data is used to specify at least one target dimension of description data;
a metadata obtaining module 320, configured to obtain metadata in an index database of the search server and a database in which the service data is stored, respectively according to the key data;
the data comparison module 330 is configured to compare consistency between the metadata in the index database and the metadata in the database, and determine whether the index database of the search server has data anomaly according to a comparison result.
The embodiment of the invention configures the key data to be compared in the monitoring configuration rule in advance so that the data monitoring device can determine the key data according to the monitoring configuration rule, respectively obtains the metadata in the index database of the search server and the database storing the business data, and finally determines whether the index database of the search server has data abnormality or not by comparing the consistency of the metadata in the index database and the metadata in the database. Therefore, the problem of a large amount of resources waste caused by the fact that a method of re-filling all data into an index base is adopted when the problem of inconsistent search server data exists in the prior art is solved, the data consistency of the search server is efficiently monitored, and the flexibility and the applicability of the method are improved through flexible configuration of key data.
Optionally, the metadata obtaining module 320 includes:
the target dimension determining unit is used for determining at least one target dimension to be compared according to the key data;
and the metadata acquisition unit is used for extracting metadata corresponding to each target dimension in an index database of the search server and a database storing the service data respectively.
Optionally, the data comparing module 330 is specifically configured to:
comparing whether the metadata in the index database is consistent with the metadata in the database;
and if the metadata corresponding to any target dimension is inconsistent, determining that the index database of the search server has data abnormality.
Optionally, the apparatus further includes a data exception handling module, specifically configured to:
determining abnormal data information according to the comparison result, and writing the abnormal data information into an abnormal index;
and displaying the abnormal index reference visualization mode.
Optionally, the data exception handling module is further configured to:
repairing the abnormal data information according to a pre-acquired abnormal data repairing strategy;
and if the repairing times reach a preset threshold value and the repairing fails, jumping to a manual repairing channel.
The data monitoring device provided by the embodiment of the invention can execute the data monitoring method provided by any embodiment of the invention, and has the corresponding functional module and beneficial effect of executing the data monitoring method.
Example four
Fig. 4 is a schematic structural diagram of a computer device according to a fourth embodiment of the present invention. FIG. 4 illustrates a block diagram of an exemplary computer device 12 suitable for use in implementing embodiments of the present invention. The computer device 12 shown in FIG. 4 is only one example and should not bring any limitations to the functionality or scope of use of embodiments of the present invention.
As shown in FIG. 4, computer device 12 is in the form of a general purpose computing device. The components of computer device 12 may include, but are not limited to: one or more processors or processing units 16, a system memory 28, and a bus 18 that couples various system components including the system memory 28 and the processing unit 16.
Bus 18 represents one or more of any of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, and a processor or local bus using any of a variety of bus architectures. By way of example, such architectures include, but are not limited to, industry Standard Architecture (ISA) bus, micro-channel architecture (MAC) bus, enhanced ISA bus, video Electronics Standards Association (VESA) local bus, and Peripheral Component Interconnect (PCI) bus.
Computer device 12 typically includes a variety of computer system readable media. Such media may be any available media that is accessible by computer device 12 and includes both volatile and nonvolatile media, removable and non-removable media.
The system memory 28 may include computer system readable media in the form of volatile memory, such as Random Access Memory (RAM) 30 and/or cache memory 32. Computer device 12 may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, storage system 34 may be used to read from and write to non-removable, nonvolatile magnetic media (not shown in FIG. 4, and commonly referred to as a "hard drive"). Although not shown in FIG. 4, a magnetic disk drive for reading from and writing to a removable, nonvolatile magnetic disk (e.g., a "floppy disk") and an optical disk drive for reading from or writing to a removable, nonvolatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical media) may be provided. In these cases, each drive may be connected to bus 18 by one or more data media interfaces. Memory 28 may include at least one program product having a set (e.g., at least one) of program modules that are configured to carry out the functions of embodiments of the invention.
A program/utility 40 having a set (at least one) of program modules 42 may be stored, for example, in memory 28, such program modules 42 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each of which examples or some combination thereof may comprise an implementation of a network environment. Program modules 42 generally carry out the functions and/or methodologies of the described embodiments of the invention.
Computer device 12 may also communicate with one or more external devices 14 (e.g., keyboard, pointing device, display 24, etc.), with one or more devices that enable a user to interact with computer device 12, and/or with any devices (e.g., network card, modem, etc.) that enable computer device 12 to communicate with one or more other computing devices. Such communication may be through an input/output (I/O) interface 22. Also, computer device 12 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network such as the Internet) via network adapter 20. As shown, network adapter 20 communicates with the other modules of computer device 12 via bus 18. It should be understood that although not shown in the figures, other hardware and/or software modules may be used in conjunction with computer device 12, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.
The processing unit 16 executes various functional applications and data processing by running programs stored in the system memory 28, for example, to implement the data monitoring method provided by the embodiment of the present invention, including:
acquiring a monitoring configuration rule, wherein the monitoring configuration rule is used for configuring key data to be compared, and the key data is used for appointing at least one target dimension of description data;
according to the key data, respectively acquiring metadata in an index database of a search server and a database storing business data;
and comparing the consistency of the metadata in the index database with the metadata in the database, and determining whether the index database of the search server has data abnormality according to a comparison result.
EXAMPLE five
The fifth embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the data monitoring method provided in the fifth embodiment of the present invention, and the method includes:
acquiring a monitoring configuration rule, wherein the monitoring configuration rule is used for configuring key data to be compared, and the key data is used for appointing at least one target dimension of description data;
according to the key data, respectively acquiring metadata in an index database of a search server and a database storing business data;
and comparing the consistency of the metadata in the index database with the metadata in the database, and determining whether the index database of the search server has data abnormality according to the comparison result.
Computer storage media for embodiments of the invention may employ any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
It is to be noted that the foregoing description is only exemplary of the invention and that the principles of the technology may be employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in some detail by the above embodiments, the invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the invention, and the scope of the invention is determined by the scope of the appended claims.

Claims (8)

1. A method for monitoring data, comprising:
acquiring a monitoring configuration rule, wherein the monitoring configuration rule is used for configuring key data to be compared, and the key data is used for appointing at least one target dimension of description data;
according to the key data, respectively acquiring metadata in an index database of a search server and a database storing business data;
comparing the consistency of the metadata in the index database with the metadata in the database, and determining whether the index database of the search server has data abnormality according to the comparison result;
according to the key data, respectively obtaining metadata in an index database of a search server and a database storing business data, and the method comprises the following steps:
determining at least one target dimension to be compared according to the key data;
and extracting metadata corresponding to each target dimension in an index database of the search server and a database storing the service data respectively.
2. The method of claim 1, wherein comparing the metadata in the index repository with the metadata in the database for consistency, and determining whether the index repository of the search server has data abnormality according to the comparison result comprises:
comparing whether the metadata in the index database is consistent with the metadata in the database;
and if the metadata corresponding to any target dimension is inconsistent, determining that the index database of the search server has data abnormality.
3. The method of any of claims 1-2, wherein after determining that a data anomaly has occurred in the index repository, the method further comprises:
determining abnormal data information according to the comparison result, and writing the abnormal data information into an abnormal index;
and displaying the abnormal index reference visualization mode.
4. The method of claim 3, wherein after determining anomalous data information, the method further comprises:
repairing the abnormal data information according to a pre-acquired abnormal data repairing strategy;
and if the repairing times reach a preset threshold value and the repairing fails, jumping to a manual repairing channel.
5. A data monitoring device, comprising:
the system comprises a rule obtaining module, a comparison module and a comparison module, wherein the rule obtaining module is used for obtaining a monitoring configuration rule, the monitoring configuration rule is used for configuring key data to be compared, and the key data is used for appointing at least one target dimension of description data;
the metadata acquisition module is used for respectively acquiring metadata in an index database of the search server and a database storing business data according to the key data;
the data comparison module is used for comparing the consistency of the metadata in the index database with the metadata in the database and determining whether the index database of the search server has data abnormality according to the comparison result;
the metadata acquisition module includes:
the target dimension determining unit is used for determining at least one target dimension to be compared according to the key data;
and the metadata acquisition unit is used for extracting metadata corresponding to each target dimension in an index database of the search server and a database storing the service data respectively.
6. The apparatus of claim 5, wherein the data alignment module is specifically configured to:
comparing whether the metadata in the index database is consistent with the metadata in the database;
and if the metadata corresponding to any target dimension is inconsistent, determining that the index database of the search server has data abnormality.
7. A computer device, comprising:
one or more processors;
a storage device for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement a data monitoring method as claimed in any one of claims 1-4.
8. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the data monitoring method according to any one of claims 1 to 4.
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Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106371984A (en) * 2016-08-31 2017-02-01 广州品唯软件有限公司 Data monitoring method, equipment and system
CN108494622A (en) * 2018-03-13 2018-09-04 新华三云计算技术有限公司 Monitoring rules configuration method, device and server
CN108874924A (en) * 2018-05-31 2018-11-23 康键信息技术(深圳)有限公司 Creation method, device and the computer readable storage medium of search service
US20190018869A1 (en) * 2017-07-11 2019-01-17 International Business Machines Corporation Storage resource utilization analytics in a heterogeneous storage system environment using metadata tags

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106371984A (en) * 2016-08-31 2017-02-01 广州品唯软件有限公司 Data monitoring method, equipment and system
US20190018869A1 (en) * 2017-07-11 2019-01-17 International Business Machines Corporation Storage resource utilization analytics in a heterogeneous storage system environment using metadata tags
CN108494622A (en) * 2018-03-13 2018-09-04 新华三云计算技术有限公司 Monitoring rules configuration method, device and server
CN108874924A (en) * 2018-05-31 2018-11-23 康键信息技术(深圳)有限公司 Creation method, device and the computer readable storage medium of search service

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Application publication date: 20191210

Assignee: Nanjing Manyun Cold Chain Technology Co.,Ltd.

Assignor: JIANGSU MANYUN SOFTWARE TECHNOLOGY Co.,Ltd.

Contract record no.: X2023980038397

Denomination of invention: A data monitoring method, device, device, and storage medium

Granted publication date: 20221014

License type: Common License

Record date: 20230724