CN114528265A - Cloud computing thread data processing method and device and electronic equipment - Google Patents

Cloud computing thread data processing method and device and electronic equipment Download PDF

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Publication number
CN114528265A
CN114528265A CN202011197286.9A CN202011197286A CN114528265A CN 114528265 A CN114528265 A CN 114528265A CN 202011197286 A CN202011197286 A CN 202011197286A CN 114528265 A CN114528265 A CN 114528265A
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log
event queue
log event
cloud computing
data
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CN202011197286.9A
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Chinese (zh)
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时凤珍
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Suzhou Titou Electronic Information Technology Co Ltd
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Suzhou Titou Electronic Information Technology Co Ltd
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Priority to CN202011197286.9A priority Critical patent/CN114528265A/en
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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
    • G06F16/18—File system types
    • G06F16/1805—Append-only file systems, e.g. using logs or journals to store data
    • G06F16/1815—Journaling file systems
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/10—Protocols in which an application is distributed across nodes in the network

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Data Mining & Analysis (AREA)
  • Databases & Information Systems (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Debugging And Monitoring (AREA)

Abstract

The cloud computing thread data processing method, the cloud computing thread data processing device and the electronic equipment, provided by the invention, are used for acquiring first running log data of a cloud computing platform to be detected; extracting a log event queue from the first running log data, wherein the log event queue comprises: a dynamic log event queue and/or a static log event queue; the dynamic log event queue comprises: setting updatable events within a calculated duration, the static log event queue comprising: at least one of a first static set of log event queues and a second static set of log event queues; judging whether the cloud computing platform to be detected has a thread data updating requirement or not according to the dynamic log event queue and/or the static log event queue; and if so, finishing the thread data updating based on the preset data updating list. Due to the design, the thread data of the cloud computing platform can be accurately and reliably updated.

Description

Cloud computing thread data processing method and device and electronic equipment
Technical Field
The invention relates to the technical field of cloud computing, in particular to a cloud computing thread data processing method and device and electronic equipment.
Background
The cloud computing platform may involve processing of multiple cloud computing services during operation to meet different service requirements. Therefore, how to realize accurate and reliable updating of threads of the cloud computing platform is a technical problem to be solved at the present stage.
Disclosure of Invention
In order to solve the above problems, the invention provides a cloud computing thread data processing method and device, and an electronic device.
A cloud computing thread data processing method comprises the following steps:
acquiring first running log data of a cloud computing platform to be detected; extracting a log event queue from the first running log data, wherein the log event queue comprises: a dynamic log event queue and/or a static log event queue; the dynamic log event queue comprises: setting updatable events within a calculated duration, the static log event queue comprising: at least one of a first static set of log event queues and a second static set of log event queues;
judging whether the cloud computing platform to be detected has a thread data updating requirement or not according to the dynamic log event queue and/or the static log event queue;
and if so, finishing the thread data updating based on the preset data updating list.
Wherein, the updating of the thread data based on the preset data updating list comprises: triggering execution thread data updating starting operation to acquire second running log data based on a preset data updating list; judging whether a log event queue extracted from the second running log data has a thread data updating requirement or not; if the judgment result is yes, triggering execution of thread data updating confirmation operation, and completing thread data updating based on the device running log corresponding to the cloud computing platform to be detected.
Wherein the determining whether the log event queue extracted from the second running log data has a thread data update requirement includes: judging whether a log text label corresponding to the second operation log data is consistent with a log text label of the cloud computing platform to be detected; and if so, judging whether the log event queue extracted from the second running log data has the thread data updating requirement.
A cloud computing thread data processing apparatus, comprising:
the log obtaining module is used for obtaining first running log data of the cloud computing platform to be detected; extracting a log event queue from the first running log data, wherein the log event queue comprises: a dynamic log event queue and/or a static log event queue; the dynamic log event queue comprises: setting updatable events within a calculated duration, the static log event queue comprising: at least one of a first static set of log event queues and a second static set of log event queues;
the updating detection module is used for judging whether the cloud computing platform to be detected has a thread data updating requirement or not according to the dynamic log event queue and/or the static log event queue;
and the thread updating module is used for finishing thread data updating based on the preset data updating list if the judgment result is yes.
An electronic device, a processor in the electronic device being operable to perform the above method.
By applying the method, the device and the electronic equipment, first running log data of the cloud computing platform to be detected are obtained; extracting a log event queue from the first running log data, wherein the log event queue comprises: a dynamic log event queue and/or a static log event queue; the dynamic log event queue comprises: setting updatable events within a calculated duration, the static log event queue comprising: at least one of a first static set of log event queues and a second static set of log event queues; judging whether the cloud computing platform to be detected has a thread data updating requirement or not according to the dynamic log event queue and/or the static log event queue; and if so, finishing the thread data updating based on the preset data updating list. Due to the design, the thread data of the cloud computing platform can be accurately and reliably updated.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
Fig. 1 is a flowchart of a cloud computing thread data processing method according to an embodiment of the present invention.
Fig. 2 is a functional block diagram of a cloud computing thread data processing apparatus according to an embodiment of the present invention.
Fig. 3 is a schematic diagram of a hardware structure of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to better understand the technical solutions of the present invention, the following detailed descriptions of the technical solutions of the present invention are provided with the accompanying drawings and the specific embodiments, and it should be understood that the specific features in the embodiments and the examples of the present invention are the detailed descriptions of the technical solutions of the present invention, and are not limitations of the technical solutions of the present invention, and the technical features in the embodiments and the examples of the present invention may be combined with each other without conflict.
Referring to fig. 1, a cloud computing thread data processing method applied to an electronic device is shown, including the contents described in the following steps S11-S13.
Step S11, acquiring first operation log data of the cloud computing platform to be detected; and extracting a log event queue from the first running log data.
Wherein the log event queue comprises: a dynamic log event queue and/or a static log event queue; the dynamic log event queue comprises: setting updatable events within a calculated duration, the static log event queue comprising: at least one of the first static set of log event queues and the second static set of log event queues.
Step S12, determining whether the cloud computing platform to be detected has a thread data update requirement according to the dynamic log event queue and/or the static log event queue.
In step S13, if the determination result is yes, the thread data update is completed based on the preset data update list.
Wherein, the updating of the thread data based on the preset data updating list comprises: triggering execution thread data updating starting operation to acquire second running log data based on a preset data updating list; judging whether a log event queue extracted from the second running log data has a thread data updating requirement or not; and if so, triggering execution of thread data updating confirmation operation so as to complete thread data updating based on the equipment running log corresponding to the cloud computing platform to be detected.
Wherein the determining whether the log event queue extracted from the second running log data has a thread data update requirement includes: judging whether a log text label corresponding to the second operation log data is consistent with a log text label of the cloud computing platform to be detected; and if so, judging whether the log event queue extracted from the second running log data has the thread data updating requirement.
Referring to fig. 2, a cloud computing thread data processing apparatus 200 is shown, including:
the log obtaining module 210 is configured to obtain first operation log data of the cloud computing platform to be detected; extracting a log event queue from the first running log data, wherein the log event queue comprises: a dynamic log event queue and/or a static log event queue; the dynamic log event queue comprises: setting updatable events within a calculated duration, the static log event queue comprising: at least one of a first static set of log event queues and a second static set of log event queues;
the update detection module 220 is configured to determine whether the cloud computing platform to be detected has a thread data update requirement according to the dynamic log event queue and/or the static log event queue;
and the thread updating module 230 is configured to, if the determination result is yes, complete the thread data updating based on the preset data updating list.
Fig. 3 shows a block schematic diagram of an electronic device 110 according to an embodiment of the present invention. The electronic device 110 in the embodiment of the present invention may be a server with data storage, transmission, and processing functions, as shown in fig. 3, the electronic device 110 includes: memory 111, processor 112, network module 113, and cloud computing thread data processing apparatus 200.
The memory 111, the processor 112, and the network module 113 are electrically connected directly or indirectly to enable transmission or interaction of data. For example, the components may be electrically connected to each other via one or more communication buses or signal lines. The memory 111 stores therein the cloud computing thread data processing apparatus 200, the cloud computing thread data processing apparatus 200 includes at least one software functional module which may be stored in the memory 111 in the form of software or firmware (firmware), and the processor 112 executes various functional applications and data processing by running software programs and modules stored in the memory 111, such as the cloud computing thread data processing apparatus 200 in the embodiment of the present invention, so as to implement the cloud computing thread data processing method in the embodiment of the present invention.
The Memory 111 may be, but is not limited to, a Random Access Memory (RAM), a Read Only Memory (ROM), a Programmable Read-Only Memory (PROM), an Erasable Read-Only Memory (EPROM), an electrically Erasable Read-Only Memory (EEPROM), and the like. The memory 111 is used for storing a program, and the processor 112 executes the program after receiving the execution instruction.
The processor 112 may be an integrated circuit chip having data processing capabilities. The Processor 112 may be a general-purpose Processor including a Central Processing Unit (CPU), a Network Processor (NP), and the like. The various methods, steps and logic blocks disclosed in embodiments of the present invention may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The network module 113 is configured to establish a communication connection between the electronic device 110 and another communication terminal device through a network, so as to implement transceiving operation of network signals and data. The network signal may include a wireless signal or a wired signal.
It will be appreciated that the configuration shown in fig. 3 is merely illustrative, and that electronic device 110 may include more or fewer components than shown in fig. 3, or have a different configuration than shown in fig. 3. The components shown in fig. 3 may be implemented in hardware, software, or a combination thereof.
An embodiment of the present invention also provides a computer-readable storage medium, which includes a computer program. The computer program controls the electronic device 110 where the readable storage medium is located to execute the above-mentioned method when running.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus and method can be implemented in other ways. The apparatus and method embodiments described above are illustrative only, as the flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, the functional modules in the embodiments of the present invention may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention or a part thereof, which essentially contributes to the prior art, can be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, an electronic device 10, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes. It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.

Claims (5)

1. A cloud computing thread data processing method comprises the following steps:
acquiring first running log data of a cloud computing platform to be detected; extracting a log event queue from the first running log data, wherein the log event queue comprises: a dynamic log event queue and/or a static log event queue; the dynamic log event queue comprises: setting updatable events within a calculated duration, the static log event queue comprising: at least one of a first static set of log event queues and a second static set of log event queues;
judging whether the cloud computing platform to be detected has a thread data updating requirement or not according to the dynamic log event queue and/or the static log event queue;
and if so, finishing the thread data updating based on the preset data updating list.
2. The method of claim 1, wherein said completing the thread data update based on the preset data update list comprises: triggering execution thread data updating starting operation to acquire second running log data based on a preset data updating list; judging whether a log event queue extracted from the second running log data has a thread data updating requirement or not; and if so, triggering execution of thread data updating confirmation operation so as to complete thread data updating based on the equipment running log corresponding to the cloud computing platform to be detected.
3. The method of claim 2, wherein the determining whether the log event queue extracted from the second running log data has a thread data update requirement comprises: judging whether a log text label corresponding to the second operation log data is consistent with a log text label of the cloud computing platform to be detected; and if so, judging whether the log event queue extracted from the second running log data has the thread data updating requirement.
4. A cloud computing thread data processing apparatus, comprising:
the log obtaining module is used for obtaining first running log data of the cloud computing platform to be detected; extracting a log event queue from the first running log data, wherein the log event queue comprises: a dynamic log event queue and/or a static log event queue; the dynamic log event queue comprises: setting updatable events within a calculated duration, the static log event queue comprising: at least one of a first static set of log event queues and a second static set of log event queues;
the updating detection module is used for judging whether the cloud computing platform to be detected has a thread data updating requirement or not according to the dynamic log event queue and/or the static log event queue;
and the thread updating module is used for finishing thread data updating based on the preset data updating list if the judgment result is yes.
5. An electronic device, a processor in the electronic device being operable to perform the method of any of the preceding claims 1-3.
CN202011197286.9A 2020-10-31 2020-10-31 Cloud computing thread data processing method and device and electronic equipment Withdrawn CN114528265A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202011197286.9A CN114528265A (en) 2020-10-31 2020-10-31 Cloud computing thread data processing method and device and electronic equipment

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202011197286.9A CN114528265A (en) 2020-10-31 2020-10-31 Cloud computing thread data processing method and device and electronic equipment

Publications (1)

Publication Number Publication Date
CN114528265A true CN114528265A (en) 2022-05-24

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Application Number Title Priority Date Filing Date
CN202011197286.9A Withdrawn CN114528265A (en) 2020-10-31 2020-10-31 Cloud computing thread data processing method and device and electronic equipment

Country Status (1)

Country Link
CN (1) CN114528265A (en)

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