CN111352803A - Service data processing method, device, equipment and storage medium - Google Patents

Service data processing method, device, equipment and storage medium Download PDF

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Publication number
CN111352803A
CN111352803A CN202010157583.4A CN202010157583A CN111352803A CN 111352803 A CN111352803 A CN 111352803A CN 202010157583 A CN202010157583 A CN 202010157583A CN 111352803 A CN111352803 A CN 111352803A
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processed
service data
data
processing
service
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张芳栋
袁青松
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Guangzhou Baiguoyuan Information Technology Co Ltd
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Guangzhou Baiguoyuan Information Technology Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/30Monitoring
    • G06F11/3003Monitoring arrangements specially adapted to the computing system or computing system component being monitored
    • G06F11/302Monitoring arrangements specially adapted to the computing system or computing system component being monitored where the computing system component is a software system
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/30Monitoring
    • G06F11/3051Monitoring arrangements for monitoring the configuration of the computing system or of the computing system component, e.g. monitoring the presence of processing resources, peripherals, I/O links, software programs
    • 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
    • G06F2209/00Indexing scheme relating to G06F9/00
    • G06F2209/54Indexing scheme relating to G06F9/54
    • G06F2209/548Queue

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  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Quality & Reliability (AREA)
  • Software Systems (AREA)
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Abstract

The embodiment of the invention discloses a method, a device, equipment and a storage medium for processing service data, wherein the method comprises the following steps: performing service processing on the service data to be processed according to the consumption process; and when the consumption process is determined to be abnormal, performing exception handling on the consumption process according to a daemon process. According to the technical scheme of the embodiment of the invention, the daemon process is used for monitoring the processing process of the business data in real time, so that abnormal conditions are found in time, the influence on the business data processing is reduced, and the business stability is enhanced.

Description

Service data processing method, device, equipment and storage medium
Technical Field
The embodiment of the invention relates to the technical field of computer application, in particular to a business data processing method, a business data processing device, business data processing equipment and a storage medium.
Background
With the development of internet technology, the method of life is not data-free, and how to safely and efficiently process business data generated in the life process of a user becomes the key point of research in the industry.
In the field of business data processing, business data often exits abnormally due to overlarge data volume, the processing process of the business data is affected, and the processing speed of the business data is reduced. In the prior art, a realizable interface is provided by tools such as Kafka Manager or Kafka offset monitor and the like to monitor the processing process of business data, and because the monitoring cannot achieve a real-time effect, when a machine processing the business data has a problem, the machine cannot be found in time, so that the loss of the business data is caused, and the stability of the business is influenced.
Disclosure of Invention
The invention provides a service data processing method, a device, equipment and a storage medium, which are used for finding faults in time in a service data processing process, improving the stability of the service data processing process and reducing the loss probability of service data.
In a first aspect, an embodiment of the present invention provides a method for processing service data, where the method includes:
performing service processing on the service data to be processed according to the consumption process;
and when the consumption process is determined to be abnormal, performing exception handling on the consumption process according to a daemon process.
In a second aspect, an embodiment of the present invention provides a service data processing apparatus, where the apparatus includes:
the service processing module is used for performing service processing on the service data to be processed according to the consumption process;
and the exception handling module is used for carrying out exception handling on the consumption process according to the daemon process when the consumption process is determined to be abnormal.
In a third aspect, an embodiment of the present invention provides an apparatus, where the apparatus includes:
one or more processors;
a memory for storing one or more programs which, when executed by the one or more processors, cause the one or more processors to implement the business data processing method according to any one of the embodiments of the present invention.
In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements a service data processing method according to any one of the embodiments of the present invention.
According to the technical scheme of the embodiment of the invention, the business processing is carried out on the business data to be processed through the consumption process, when the consumption process is abnormal, the abnormal processing can be carried out according to the daemon process, so that the consumption process can continue to process the business data to be processed, the real-time monitoring of the business data processing process is realized, the abnormal condition can be found in time, the business stability is improved, and the loss of the business data caused by abnormal processing can be prevented.
Drawings
Fig. 1 is a flowchart of a service data processing method according to an embodiment of the present invention;
fig. 2 is a flowchart of a service data processing method according to a second embodiment of the present invention;
fig. 3 is an exemplary diagram of a service data processing method according to a second embodiment of the present invention;
FIG. 4 is an exemplary diagram of a performance degradation alarm according to a second embodiment of the present invention;
fig. 5 is a schematic structural diagram of a service data processing apparatus according to a third embodiment of the present invention;
fig. 6 is a schematic structural diagram of an apparatus according to a fourth embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying 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 noted that, for convenience of description, only a part of the structures related to the present invention, not all of the structures, are shown in the drawings, and furthermore, embodiments of the present invention and features of the embodiments may be combined with each other without conflict.
Example one
Fig. 1 is a flowchart of a service data processing method provided in an embodiment of the present invention, where this embodiment is applicable to a case of processing service data in a distributed manner, and the method may be executed by a service data processing apparatus, and the apparatus may be implemented in a hardware and/or software manner, referring to fig. 1, the service data processing method provided in an embodiment of the present invention specifically includes the following steps:
and 101, performing service processing on the service data to be processed according to the consumption process.
The consumption process may be a process for processing service data, specifically may be a computer program, and may have a function of independently processing service data, the consumption process may be run in different computers, and different computers may process different service data according to the consumption process. The service data to be processed may be data that needs to be processed, and specifically may include commodity order data, activity discount data, video subscription data, and the like.
Specifically, a consuming process may be arranged in each computer that executes service processing, and the consuming process processes the service data to be processed, it can be understood that the consuming process may implement a processing function of the service data, different service data may be processed by the consuming process in different computers, and the same service data to be processed may be processed by only one consuming process.
And 102, when the consumption process is determined to be abnormal, performing exception handling on the consumption process according to a daemon process.
The exception may cause the situation that the consumption process cannot process the service data normally, and may include abnormal exit of the consumption process or processing error of the service data, and the like, the daemon may be a computer process that ensures normal operation of the consumption process, the daemon may be in the same computer as the consumption process, and the daemon may perform exception processing to recover the consumption process after monitoring that the consumption process is abnormal.
In the embodiment of the present invention, the running state of the consuming process may be monitored, and when the consuming process is abnormal, the daemon process may perform exception handling on the consuming process, so as to enable the consuming process to run normally again.
According to the embodiment of the invention, the business processing is carried out on the business data to be processed through the consumption process, when the consumption process is abnormal, the abnormal processing can be carried out according to the daemon process, so that the consumption process can continue to process the business data to be processed, the real-time monitoring of the business data processing process is realized, the abnormal condition of the consumption process is found in time, the business stability is improved, the probability of losing the business data due to the abnormal processing is reduced, and the user experience degree can be improved.
Further, on the basis of the above embodiment of the present invention, the method for processing service data may further include: and sending out a processing performance reduction alarm when the number of the service data to be processed is determined to exceed an alarm threshold value.
The alarm threshold may be a threshold for processing performance degradation alarm, when the number of the service data to be processed exceeds the alarm threshold, the performance degradation alarm may be performed, the alarm thresholds corresponding to the consumption processes in different computers may be different, and the alarm thresholds may correspond to the processing capabilities of the consumption processes.
Specifically, the number of the service data to be processed may be counted, and when the number of the service data to be processed exceeds the alarm threshold, a performance degradation alarm may be issued in the form of sound, text, or picture.
Further, on the basis of the above embodiment of the present invention, when it is determined that the number of the service data to be processed exceeds the alarm threshold, sending an alarm of processing performance degradation includes:
acquiring the quantity of data to be processed in a data queue to be processed; and if the number is larger than the alarm threshold value, generating a handling performance reduction alarm and giving an alarm according to the handling performance reduction alarm.
Specifically, the data to be processed is stored in the data queue to be processed, the number of the data to be processed may be counted in the data queue to be processed, the obtained number is compared with the alarm threshold, when the number is greater than the alarm threshold, a performance degradation alarm may be generated, and the performance degradation alarm may be displayed in a text, sound, picture, or other manner to implement an alarm.
Example two
Fig. 2 is a flowchart of a service data processing method according to a second embodiment of the present invention, which is embodied based on the second embodiment of the present invention, and is configured to perform service processing based on a data queue to be processed to assist a consuming process, and implement exception handling by restarting the consuming process through a daemon process, referring to fig. 2, the service data processing method according to the second embodiment of the present invention includes:
step 201, controlling the consumption process to start, and acquiring the to-be-processed service data in the data to-be-processed queue.
The data queue to be processed may be a storage space for storing data to be processed, the consuming process may acquire service data to be processed in the data queue to be processed, and the data queue to be processed may specifically be a flow processing queue, and may include a Kafka flow processing queue, a dataslow flow processing queue, and the like.
Specifically, the consumption processes in the computers may be controlled to start, the consumption processes may subscribe to topics in the data queue to be processed, it may be understood that respective consumption processes may start in multiple computers, each consumption process may subscribe to-be-processed data in the data queue to be processed, when there is to-be-processed service data in the data queue to be processed, the to-be-processed service data may be sent to a consumption process that has subscribed, it may be understood that the same to-be-processed service data in the data queue to be processed may be processed by only one consumption process, for example, when there is only one to-be-processed service data in the data queue to be processed, the to-be-processed service data may be sent to a consumption process subscribed earliest according to a time sequence of the consumption process subscription, and other consumption processes may enter a waiting state.
Further, on the basis of the above embodiment of the present invention, the data pending queue is a stream processing cluster queue.
In the embodiment of the present invention, the data pending queue may be a cluster that collects pending service data, the service data that needs to be processed in the distributed cluster may be acquired through the data pending queue, and the data pending queue may be a stream processing cluster queue, and may specifically include a Kafka stream processing queue.
Step 202, when it is determined that the service data to be processed is not processed, controlling the consuming process to process the service data to be processed.
In the embodiment of the invention, in order to ensure the consistency of the processing process of the to-be-processed business data, each to-be-processed business data can be processed only once, the consumption process can determine whether the to-be-processed business data is processed before the to-be-processed business data is processed, and the consumption process can process the to-be-processed business data when the to-be-processed business data is determined to be processed. Specifically, the determining of the to-be-processed service data may be implemented by searching the to-be-processed service data in the processed service data.
And 203, monitoring the operation parameters of the consumption process based on the daemon process.
The operation parameters may be state information of the consumption process during operation, the operation state of the consumption process may be determined by monitoring the operation parameters, and when the consumption process is abnormal, the operation parameters may be found in time, and it can be understood that the operation parameters may include memory occupation, power consumption, and the like of the consumption process.
Specifically, the daemon process and the consumption process can be arranged in a computer in a parent process and a child process mode, the daemon process can be configured as a parent process, the consumption process can be configured as a child process, the daemon process can monitor the consumption process, the daemon process can acquire the operation parameters of the consumption process, and the operation state of the consumption process can be monitored.
And 204, when the operating parameters are determined to be abnormal, restarting a new consuming process to process the to-be-processed service data.
Specifically, when the daemon process monitors that the operation parameter of the consumption process is abnormal, for example, the consumption process exits abnormally, at this time, the daemon process may create a new sub-process as the consumption process, and the newly created consumption process may continue to process the to-be-processed service data that is not processed by the abnormal consumption process.
According to the embodiment of the invention, the consumption process is started to obtain the to-be-processed service data in the data to-be-processed queue, when the to-be-processed service data is determined to be unprocessed, the consumption process processes the to-be-processed service data, the daemon process monitors the operation parameters of the consumption process, and when the operation parameters are determined to be abnormal, a new consumption process is restarted to continue processing the to-be-processed service data. According to the technical scheme of the embodiment of the invention, the daemon process is used for monitoring the processing process of the business data in real time, so that abnormal conditions are found in time, the influence on the business data processing is reduced, and the business stability is enhanced.
Further, on the basis of the above embodiment of the present invention, when it is determined that the to-be-processed service data is not processed, controlling the consuming process to process the to-be-processed service data includes:
comparing the record sequence number of the service data to be processed with the record sequence number of the processed service data in the data cache; and if the record serial number of the service data to be processed is greater than the record serial number of the processed service data, controlling the consumption process to perform service processing on the service data to be processed.
The record sequence number may be a unique identification number of the to-be-processed service data, and may be used to verify whether the to-be-processed service data has been processed. The data cache may be a cache space for storing processed service data, and may be used to ensure uniqueness of service data processing, and the data cache may specifically be a distributed cluster cache, and may store a large amount of processed service data.
In the embodiment of the present invention, the service data to be processed may carry a record sequence number, before the message process processes the service data to be processed, the record sequence number may be compared with the record sequence number of the processed service data in the data cache, and if the record sequence number of the service data to be processed is greater than the record sequence number of the processed service data, it may be determined that the service data to be processed is not yet processed by the consuming process, and the service to be processed may be processed by consumption to implement a corresponding service function.
Further, on the basis of the above embodiment of the present invention, the data cache includes a distributed cluster cache.
In the embodiment of the present invention, the data cache for storing the processed service data may be a distributed cluster cache, and specifically may be a Codis or Redis cluster, etc.
Fig. 3 is an exemplary diagram of a service data processing method according to a second embodiment of the present invention, and referring to fig. 3, a consuming process may be started in multiple computers, two processes may be simultaneously started in one computer, one parent process may be used as a daemon process, one child process may be used as a consuming process, the daemon process may monitor the consuming process, and when the daemon process monitors that the consuming process abnormally exits, a new child process may be automatically started as the consuming process. The consumption processes of a plurality of computers can subscribe to the same topic of kafka, a partition can be set for the topic in kafka, the topic can be consumed by only one consumption process at the same time, other consumption processes are in a waiting state, and if the consumption process which is processing the service data to be processed is down, the consumption process in other computers can continue to process the service data to be processed. Before the consumption process is processed, Codis can be used for checking and recording whether the size of the serial number is larger than that of the consumed business data or not, and judging whether the recording serial number is repeated or not, so that the business data to be processed is ensured to be processed uniquely. Fig. 4 is an exemplary diagram of a performance degradation alarm provided by the second embodiment of the present invention, and referring to fig. 4, taking a data queue to be processed as a kakfa stream processing queue as an example, by periodically starting a monitoring process to obtain the latest offset and the already processed offset of a consuming process in a kafka body, a difference between the latest offset and the already processed offset may be used as the number of traffic data to be processed, the number may be compared with an alarm threshold, if the number is greater than the alarm threshold, a developer corresponding to the alarm may cause an abnormal processing performance degradation of the consuming process, and if the number is less than or equal to the alarm threshold, the monitoring process may be stopped to wait for restarting.
EXAMPLE III
Fig. 5 is a schematic structural diagram of a service data processing apparatus provided in the third embodiment of the present invention, which is capable of executing a service data processing method provided in any embodiment of the present invention, and has functional modules and beneficial effects corresponding to the execution method. The device can be implemented by software and/or hardware, and specifically comprises: a business processing module 301 and an exception handling module 302.
The service processing module 301 is configured to perform service processing on service data to be processed according to a consuming process.
And the exception handling module 302 is configured to, when it is determined that the consuming process is abnormal, perform exception handling on the consuming process according to a daemon process.
According to the technical scheme of the embodiment of the invention, the service processing module consumption process is used for carrying out service processing on the service data to be processed, and the exception processing module can carry out exception processing according to the daemon process when the consumption process is abnormal, so that the consumption process can continue to process the service data to be processed, the real-time monitoring of the service data processing process is realized, the abnormal condition can be found in time, the service stability is improved, and the service data can be prevented from being lost due to abnormal processing.
Further, on the basis of the above embodiment of the present invention, the service processing module 301 includes:
and the data acquisition unit is used for controlling the consumption process to be started and acquiring the to-be-processed service data in the data to-be-processed queue.
And the data processing unit is used for controlling the consumption process to process the service data to be processed when the service data to be processed is determined not to be processed.
Further, on the basis of the above embodiment of the present invention, the queue to be processed of data in the data obtaining unit is a stream processing cluster queue.
Further, on the basis of the above-mentioned embodiment of the invention, the data processing unit includes:
and the sequence number comparison subunit is used for comparing the record sequence number of the service data to be processed with the record sequence number of the processed service data in the data cache.
And the service processing subunit is used for controlling the consumption process to perform service processing on the service data to be processed if the record serial number of the service data to be processed is greater than the record serial number of the processed service data.
Further, on the basis of the above embodiment of the present invention, the data cache in the sequence number comparison subunit includes a distributed cluster cache.
Further, on the basis of the above embodiment of the present invention, the exception handling module 302 includes:
and the parameter monitoring unit is used for monitoring the operation parameters of the consumption process based on the daemon process.
And the restarting process unit is used for restarting a new consuming process to process the to-be-processed service data when the operating parameters are determined to be abnormal.
Further, on the basis of the above embodiment of the invention, the method further includes:
and the performance alarm module is used for sending out a processing performance reduction alarm when the number of the service data to be processed is determined to exceed an alarm threshold value.
Further, on the basis of the above embodiment of the present invention, the performance warning module includes:
and the quantity acquisition unit is used for acquiring the quantity of the data to be processed in the data queue to be processed.
And the performance alarm unit is used for generating a handling performance reduction alarm and giving an alarm according to the handling performance reduction alarm if the number is larger than the alarm threshold.
Example four
Fig. 6 is a schematic structural diagram of an apparatus according to a fourth embodiment of the present invention, as shown in fig. 6, the apparatus includes a processor 40, a memory 41, an input device 42, and an output device 43; the number of processors 40 in the device may be one or more, and one processor 40 is taken as an example in fig. 6; the processor 40, the memory 41, the input device 42 and the output device 43 in the apparatus may be connected by a bus or other means, as exemplified by the bus connection in fig. 6.
The memory 41, which is a computer-readable storage medium, may be used to store software programs, computer-executable programs, and modules, such as program modules corresponding to the business data processing method in the embodiment of the present invention (for example, the business processing module 301 and the exception handling module 302 in the business data processing apparatus). The processor 40 executes various functional applications of the device and data processing by running software programs, instructions and modules stored in the memory 41, that is, implements the service data processing method described above.
The memory 41 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the terminal, and the like. Further, the memory 41 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some examples, memory 41 may further include memory located remotely from processor 40, which may be connected to the device over a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The input device 42 is operable to receive input numeric or character information and to generate key signal inputs relating to user settings and function controls of the apparatus. The output device 43 may include a display device such as a display screen.
EXAMPLE five
An embodiment of the present invention further provides a storage medium containing computer-executable instructions, where the computer-executable instructions are executed by a computer processor to perform a service data processing method, where the method includes:
performing service processing on the service data to be processed according to the consumption process;
and when the consumption process is determined to be abnormal, performing exception handling on the consumption process according to a daemon process. Of course, the storage medium provided by the embodiment of the present invention contains computer-executable instructions, and the computer-executable instructions are not limited to the operations of the method described above, and may also perform related operations in the service data processing method provided by any embodiment of the present invention.
From the above description of the embodiments, it is obvious for those skilled in the art that the present invention can be implemented by software and necessary general hardware, and certainly, can also be implemented by hardware, but the former is a better embodiment in many cases. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which may be stored in a computer-readable storage medium, such as a floppy disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a FLASH Memory (FLASH), a hard disk or an optical disk of a computer, and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network device) to execute the methods according to the embodiments of the present invention.
It should be noted that, in the embodiment of the service data processing apparatus, each included unit and module are only divided according to functional logic, but are not limited to the above division as long as the corresponding function can be implemented; in addition, specific names of the functional units are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present invention.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles 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 greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.

Claims (11)

1. A method for processing service data is characterized by comprising the following steps:
performing service processing on the service data to be processed according to the consumption process;
and when the consumption process is determined to be abnormal, performing exception handling on the consumption process according to a daemon process.
2. The method of claim 1, wherein the performing the business processing on the business data to be processed according to the consuming process comprises:
controlling the consumption process to start, and acquiring to-be-processed service data in a data to-be-processed queue;
and controlling the consumption process to process the service data to be processed when the service data to be processed is determined not to be processed.
3. The method of claim 2, wherein the data pending queue is a stream processing cluster queue.
4. The method according to claim 2, wherein when it is determined that the pending service data is not processed, controlling the consuming process to process the pending service data comprises:
comparing the record sequence number of the service data to be processed with the record sequence number of the processed service data in the data cache;
and if the record serial number of the service data to be processed is greater than the record serial number of the processed service data, controlling the consumption process to perform service processing on the service data to be processed.
5. The method of claim 4, wherein the data cache comprises a distributed cluster cache.
6. The method according to claim 1 or 2, wherein when determining that the consuming process is abnormal, performing exception handling on the consuming process according to a daemon process comprises:
monitoring operating parameters of the consuming process based on the daemon process;
and when the operating parameters are determined to be abnormal, restarting a new consuming process to process the to-be-processed service data.
7. The method of claim 1, further comprising:
and sending out a processing performance reduction alarm when the number of the service data to be processed is determined to exceed an alarm threshold value.
8. The method of claim 7, wherein the sending out a processing performance degradation alarm when determining that the amount of the pending traffic data exceeds an alarm threshold comprises:
acquiring the quantity of data to be processed in a data queue to be processed;
and if the number is larger than the alarm threshold value, generating a handling performance reduction alarm and giving an alarm according to the handling performance reduction alarm.
9. A service data processing apparatus, comprising:
the service processing module is used for performing service processing on the service data to be processed according to the consumption process;
and the exception handling module is used for carrying out exception handling on the consumption process according to the daemon process when the consumption process is determined to be abnormal.
10. An apparatus, characterized in that the apparatus comprises:
one or more processors;
memory for storing one or more programs which, when executed by the one or more processors, cause the one or more processors to implement the business data processing method of any one of claims 1-8.
11. A computer-readable storage medium, on which a computer program is stored, which program, when being executed by a processor, is adapted to carry out a method of processing service data according to any one of claims 1 to 8.
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CN114237766A (en) * 2021-12-28 2022-03-25 南京合智电力科技有限公司 Method for dynamically restarting process

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