CN112199209A - Terminal data parallel sequence processing method, system and medium - Google Patents

Terminal data parallel sequence processing method, system and medium Download PDF

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Publication number
CN112199209A
CN112199209A CN202010989418.5A CN202010989418A CN112199209A CN 112199209 A CN112199209 A CN 112199209A CN 202010989418 A CN202010989418 A CN 202010989418A CN 112199209 A CN112199209 A CN 112199209A
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terminal
data
queue
terminal data
data processing
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张乐岐
许光
张亚峰
杨春平
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Zhuhai XJ Electric Co Ltd
Zhuhai Xujizhi Power System Automation Co Ltd
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Zhuhai XJ Electric Co Ltd
Zhuhai Xujizhi Power System Automation Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for program control, e.g. control units
    • G06F9/06Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/46Multiprogramming arrangements
    • G06F9/54Interprogram communication
    • G06F9/546Message passing systems or structures, e.g. queues
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24Querying
    • G06F16/245Query processing
    • G06F16/2457Query processing with adaptation to user needs
    • G06F16/24578Query processing with adaptation to user needs using ranking
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24Querying
    • G06F16/245Query processing
    • G06F16/2458Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
    • G06F16/2471Distributed queries
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L49/00Packet switching elements
    • H04L49/90Buffering arrangements
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2209/00Indexing scheme relating to G06F9/00
    • G06F2209/54Indexing scheme relating to G06F9/54
    • G06F2209/548Queue

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  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • Software Systems (AREA)
  • Computational Linguistics (AREA)
  • Data Mining & Analysis (AREA)
  • Databases & Information Systems (AREA)
  • Probability & Statistics with Applications (AREA)
  • Mathematical Physics (AREA)
  • Fuzzy Systems (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

Abstract

The invention discloses a method, a system and a medium for parallel and sequential processing of terminal data, wherein the method comprises the following steps: establishing a plurality of terminal data queues, and determining queue IDs corresponding to the data processing modules according to the number of current terminals and the number of the data processing modules; receiving terminal data, and sending the terminal data to a specified terminal data queue according to a terminal ID in the terminal data; and each data processing module reads and processes the terminal data from the terminal data queue according to the queue ID corresponding to the data processing module. The system comprises a data queue module, a data receiving and forwarding module and a plurality of data processing modules. The invention has at least the following beneficial effects: the load balance of terminal data in a unit of a terminal is realized, and the terminal data are processed in parallel on the premise of ensuring the data processing sequence, so that the terminal data processing efficiency is effectively improved.

Description

Terminal data parallel sequence processing method, system and medium
Technical Field
The present invention relates to the field of data processing, and in particular, to a method, system, and medium for parallel sequential processing of terminal data.
Background
With the wider application of the internet of things devices, the IoT platform is adopted to subscribe or push the data collected by the terminal, and the terminal data sent by the IoT platform needs to be processed. As the terminal has more and more data to access and more data amount of the terminal, the processing of the terminal data requires higher computing power. Some existing terminal data processing software improve processing capacity by increasing a processor and memory resources, some improve processing capacity by only processing core data and putting post-processing (such as relational library and real-time library operation) to other nodes, and also improve processing capacity by starting a plurality of nodes to process data simultaneously. However, the above method has a great limitation, and a ceiling effect exists in consideration of performance improvement in a single-node view, while a multi-node scheme cannot guarantee data processing sequency.
Disclosure of Invention
The present invention is directed to solving at least one of the problems of the prior art. Therefore, the invention provides a terminal data parallel sequence processing method, which can process terminal data in parallel on the premise of ensuring data processing sequence and effectively improve the terminal data processing efficiency.
The invention also provides a terminal data parallel sequence processing system.
The invention also provides a computer readable storage medium for implementing the terminal data parallel sequence processing method.
According to the terminal data parallel sequence processing method of the embodiment of the first aspect of the invention, the method comprises the following steps: establishing a plurality of terminal data queues, and determining queue IDs corresponding to the data processing modules according to the number of current terminals and the number of the data processing modules; receiving terminal data, and sending the terminal data to a specified terminal data queue according to a terminal ID in the terminal data; and each data processing module reads and processes the terminal data from the terminal data queue according to the queue ID corresponding to the data processing module.
According to some embodiments of the present invention, the receiving the terminal data, and sending the terminal data to the specified terminal data queue according to the terminal ID in the terminal data comprises: determining a corresponding queue ID according to a terminal ID query table of the received terminal data; fields of the table comprise a terminal ID and a queue ID, and the terminal ID field sets uniqueness constraint; and when the search result is empty, generating a queue ID according to the terminal ID, and storing the terminal ID and the generated queue ID in the table.
According to some embodiments of the invention, the terminal ID is a string for identifying a unique terminal.
According to some embodiments of the invention, the method further comprises: and dynamically adjusting the number of the terminal data queues according to the scale of the accessed terminal, and updating the queue ID corresponding to each data processing module after adjustment.
According to some embodiments of the present invention, the terminal data queue is a distributed queue, and each data processing module supports distributed deployment.
According to some embodiments of the present invention, the reading and processing of the terminal data from the terminal data queue by each data processing module according to its own corresponding queue ID includes: and setting the queue ID as a function parameter of each data processing module.
According to a second aspect of the invention, a terminal data parallel sequence processing system comprises: the terminal data queue module is used for creating a plurality of terminal data queues and determining queue IDs corresponding to the data processing modules according to the current terminal quantity and the data processing module quantity; the data receiving and forwarding module is used for receiving terminal data and sending the terminal data to the appointed terminal data queue according to the terminal ID in the terminal data; and the data processing modules are used for reading and processing the terminal data from the terminal data queue according to the queue ID corresponding to the data processing modules.
According to some embodiments of the invention, the data receiving and forwarding module comprises: the query module is used for determining a corresponding queue ID according to a received terminal ID query table of the terminal data; fields of the table comprise a terminal ID and a queue ID, and the terminal ID field is set as a uniqueness constraint; and the queue ID generating module is used for generating a queue ID according to the terminal ID when the search result is null, and storing the terminal ID and the generated queue ID in the table.
According to some embodiments of the invention, the system further comprises: and the queue number adjusting module is used for dynamically adjusting the number of the terminal data queues according to the scale of the accessed terminal and updating the queue IDs corresponding to the data processing modules after adjustment.
The computer-readable storage medium according to an embodiment of the third aspect of the invention has stored thereon a computer program which, when executed by a processor, performs the method of any of the embodiments of the first aspect of the invention.
The embodiment of the invention at least has the following beneficial effects: the load balance of terminal data by taking a terminal as a unit is realized through the data receiving and forwarding module and the corresponding relation between the user-defined terminal data queue and the data processing module, and the embodiment of the invention can process the terminal data in parallel on the premise of ensuring the data processing sequence, thereby effectively improving the terminal data processing efficiency.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
The above and/or additional aspects and advantages of the present invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
FIG. 1 is a schematic flow chart of a method according to an embodiment of the present invention.
Fig. 2 is a flowchart of a method of determining a queue ID according to an embodiment of the invention.
Fig. 3 is a schematic view of a system application scenario according to an embodiment of the present invention.
FIG. 4 is a schematic diagram of a system according to an embodiment of the invention.
Fig. 5 is a block diagram of a data receiving and forwarding module according to an embodiment of the present invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the accompanying drawings are illustrative only for the purpose of explaining the present invention, and are not to be construed as limiting the present invention.
In the description of the present invention, the meaning of a plurality of means is one or more, the meaning of a plurality of means is two or more, and more than, less than, more than, etc. are understood as excluding the present number, and more than, less than, etc. are understood as including the present number. If the first and second are described for the purpose of distinguishing technical features, they are not to be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated or implicitly indicating the precedence of the technical features indicated.
Referring to fig. 1, a method for parallel and sequential processing of terminal data according to an embodiment of the present invention includes: establishing a plurality of terminal data queues, and determining queue IDs corresponding to the data processing modules according to the number of current terminals and the number of the data processing modules; receiving terminal data, and sending the terminal data to a specified terminal data queue according to a terminal ID in the terminal data; and each data processing module reads and processes the terminal data from the terminal data queue according to the queue ID corresponding to the data processing module.
With further reference to fig. 2, the receiving the terminal data and sending the terminal data to the designated terminal data queue according to the terminal ID in the terminal data includes: determining a corresponding queue ID according to a terminal ID query table of the received terminal data; the fields of the table comprise a terminal ID and a queue ID, and the terminal ID field sets uniqueness constraint; and when the search result is empty, generating a queue ID according to the terminal ID, and storing the terminal ID and the generated queue ID in a table.
In some embodiments, the algorithm for generating the queue ID from the terminal ID may be a custom function, the terminal ID may be input, the terminal ID may be an arabic number or a character string or a combination of arbitrary numeric characters, and the queue ID is output. Note that inputting the same terminal ID necessitates outputting the same queue ID.
In some embodiments, the terminal ID is a string used to identify a unique terminal.
In some embodiments, the method further comprises: and dynamically adjusting the number of terminal data queues according to the scale of the accessed terminal, and updating the queue ID corresponding to each data processing module after adjustment.
In some embodiments, the terminal data queue is a distributed queue, and each data processing module supports distributed deployment. For example, the queues employ kafka distributed queues. Kafka is a distributed message queue with high performance, persistence, multi-copy backup and scale-out capabilities.
In some embodiments, the reading and processing of the terminal data from the terminal data queue by each data processing module according to its corresponding queue ID includes: the queue ID is set as a function parameter of each data processing module.
Referring to fig. 3, an internet of things terminal sends acquired terminal data to an IoT platform through an internet of things protocol, the IoT platform sends the data to a data receiving and forwarding node in a subscription/push manner, the data receiving and forwarding node determines the number of data processing programs through program registration information sent by the data processing programs, creates a plurality of queues, and realizes load balancing in units of terminals by determining corresponding relationships between the terminals and the queues and between the queues and the data processing programs. The queues are used as the buffer of the terminal data, the data receiving and forwarding nodes send the terminal data to the designated queues, and the data processing programs process the terminal data in the queues corresponding to the data receiving and forwarding nodes respectively, so as to ensure the data processing sequence.
Referring to fig. 4, the terminal data parallel sequence processing system according to the embodiment of the present invention includes: the system comprises a data receiving and forwarding module, a terminal data queue module and a plurality of data processing modules. The terminal data queue module is used for creating a plurality of terminal data queues and determining queue IDs (identity) corresponding to the data processing modules according to the number of current terminals and the number of the data processing modules; the data receiving and forwarding module is used for receiving the terminal data and sending the terminal data to a specified terminal data queue according to the terminal ID in the terminal data; and the data processing modules are used for reading and processing terminal data from the terminal data queue according to the queue ID corresponding to the data processing modules.
Referring to fig. 5, in some embodiments, the data receiving and forwarding module includes: the query module is used for querying a table according to the terminal ID of the received terminal data and determining a corresponding queue ID; the fields of the table comprise a terminal ID and a queue ID, and the terminal ID field is set as a uniqueness constraint; and the queue ID generating module is used for generating a queue ID according to the terminal ID when the search result is empty, and storing the terminal ID and the generated queue ID in a table.
In some embodiments, the terminal data parallel sequential processing system further comprises: and the queue number adjusting module is used for dynamically adjusting the number of the terminal data queues according to the scale of the accessed terminal and updating the queue IDs corresponding to the data processing modules after adjustment.
The embodiment of the invention realizes the load balance of terminal data by taking a terminal as a unit by innovatively introducing a data receiving and forwarding module and adding a custom algorithm to match the terminal with a queue and the queue with a data processing module. And the performance of the system is effectively improved by adopting a parallel software design scheme on the premise of ensuring the data processing sequentiality. After the embodiment of the invention introduces the distributed queue, the distributed deployment is supported.
Although specific embodiments have been described herein, those of ordinary skill in the art will recognize that many other modifications or alternative embodiments are equally within the scope of this disclosure. For example, any of the functions and/or processing capabilities described in connection with a particular device or component may be performed by any other device or component. In addition, while various illustrative implementations and architectures have been described in accordance with embodiments of the present disclosure, those of ordinary skill in the art will recognize that many other modifications of the illustrative implementations and architectures described herein are also within the scope of the present disclosure.
Certain aspects of the present disclosure are described above with reference to block diagrams and flowchart illustrations of systems, methods, systems, and/or computer program products according to example embodiments. It will be understood that one or more blocks of the block diagrams and flowchart illustrations, and combinations of blocks in the block diagrams and flowchart illustrations, respectively, can be implemented by executing computer-executable program instructions. Also, according to some embodiments, some blocks of the block diagrams and flow diagrams may not necessarily be performed in the order shown, or may not necessarily be performed in their entirety. In addition, additional components and/or operations beyond those shown in the block diagrams and flow diagrams may be present in certain embodiments.
Accordingly, blocks of the block diagrams and flowchart illustrations support combinations of means for performing the specified functions, combinations of elements or steps for performing the specified functions and program instruction means for performing the specified functions. It will also be understood that each block of the block diagrams and flowchart illustrations, and combinations of blocks in the block diagrams and flowchart illustrations, can be implemented by special purpose hardware-based computer systems that perform the specified functions, elements or steps, or combinations of special purpose hardware and computer instructions.
Program modules, applications, etc. described herein may include one or more software components, including, for example, software objects, methods, data structures, etc. Each such software component may include computer-executable instructions that, in response to execution, cause at least a portion of the functionality described herein (e.g., one or more operations of the illustrative methods described herein) to be performed.
The software components may be encoded in any of a variety of programming languages. An illustrative programming language may be a low-level programming language, such as assembly language associated with a particular hardware architecture and/or operating system platform. Software components that include assembly language instructions may need to be converted by an assembler program into executable machine code prior to execution by a hardware architecture and/or platform. Another exemplary programming language may be a higher level programming language, which may be portable across a variety of architectures. Software components that include higher level programming languages may need to be converted to an intermediate representation by an interpreter or compiler before execution. Other examples of programming languages include, but are not limited to, a macro language, a shell or command language, a job control language, a scripting language, a database query or search language, or a report writing language. In one or more exemplary embodiments, a software component containing instructions of one of the above programming language examples may be executed directly by an operating system or other software component without first being converted to another form.
The software components may be stored as files or other data storage constructs. Software components of similar types or related functionality may be stored together, such as in a particular directory, folder, or library. Software components may be static (e.g., preset or fixed) or dynamic (e.g., created or modified at execution time).
The embodiments of the present invention have been described in detail with reference to the accompanying drawings, but the present invention is not limited to the above embodiments, and various changes can be made within the knowledge of those skilled in the art without departing from the gist of the present invention.

Claims (10)

1. A terminal data parallel sequence processing method is characterized by comprising the following steps:
establishing a plurality of terminal data queues, and determining queue IDs corresponding to the data processing modules according to the number of current terminals and the number of the data processing modules;
receiving terminal data, and sending the terminal data to a specified terminal data queue according to a terminal ID in the terminal data;
and each data processing module reads and processes the terminal data from the terminal data queue according to the queue ID corresponding to the data processing module.
2. The method according to claim 1, wherein the receiving the terminal data and sending the terminal data to the designated terminal data queue according to the terminal ID in the terminal data comprises:
determining a corresponding queue ID according to a terminal ID query table of the received terminal data; fields of the table comprise a terminal ID and a queue ID, and the terminal ID field sets uniqueness constraint;
and when the search result is empty, generating a queue ID according to the terminal ID, and storing the terminal ID and the generated queue ID in the table.
3. The terminal data parallel sequential processing method according to claim 1, wherein the terminal ID is a character string for identifying a unique terminal.
4. The method of claim 1, further comprising:
and dynamically adjusting the number of the terminal data queues according to the scale of the accessed terminal, and updating the queue ID corresponding to each data processing module after adjustment.
5. The method according to claim 1, wherein the terminal data queue is a distributed queue, and each data processing module supports distributed deployment.
6. The method according to claim 1, wherein the reading and processing of the terminal data from the terminal data queue by each data processing module according to its own corresponding queue ID comprises:
and setting the queue ID as a function parameter of each data processing module.
7. A system for parallel sequential processing of terminal data, comprising:
the terminal data queue module is used for creating a plurality of terminal data queues and determining queue IDs corresponding to the data processing modules according to the current terminal quantity and the data processing module quantity;
the data receiving and forwarding module is used for receiving terminal data and sending the terminal data to the appointed terminal data queue according to the terminal ID in the terminal data;
and the data processing modules are used for reading and processing the terminal data from the terminal data queue according to the queue ID corresponding to the data processing modules.
8. The system for parallel sequential processing of terminal data according to claim 7, wherein said data receiving and forwarding module comprises:
the query module is used for determining a corresponding queue ID according to a received terminal ID query table of the terminal data; fields of the table comprise a terminal ID and a queue ID, and the terminal ID field is set as a uniqueness constraint;
and the queue ID generating module is used for generating a queue ID according to the terminal ID when the search result is null, and storing the terminal ID and the generated queue ID in the table.
9. The system for parallel sequential processing of terminal data according to claim 7, further comprising:
and the queue number adjusting module is used for dynamically adjusting the number of the terminal data queues according to the scale of the accessed terminal and updating the queue IDs corresponding to the data processing modules after adjustment.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the method of any one of claims 1 to 6.
CN202010989418.5A 2020-09-18 2020-09-18 Terminal data parallel sequence processing method, system and medium Pending CN112199209A (en)

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