CN115660775A - Order monitoring method, device, equipment and storage medium - Google Patents
Order monitoring method, device, equipment and storage medium Download PDFInfo
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Abstract
The invention relates to the technical field of order monitoring, and discloses an order monitoring method, a device, equipment and a storage medium, wherein the method comprises the following steps: when the target message queue receives order data, extracting corresponding standard index data from the order data according to order monitoring indexes; determining monitoring result data of an order monitoring index according to the standard index data and historical storage data in a preset database; and determining whether to send out order early warning information according to the monitoring result data and a preset monitoring rule. According to the invention, standard index data is extracted from the order data of the target message queue according to the order monitoring index, monitoring result data of the order monitoring index is determined according to the standard index data and historical storage data, whether order early warning information is sent or not is determined according to the monitoring result data and a preset monitoring rule, the order can be monitored in real time according to the order monitoring index, the early warning information is sent in time when the order is abnormal, and the timeliness and the accuracy of order monitoring are improved.
Description
Technical Field
The present invention relates to the field of order monitoring technologies, and in particular, to an order monitoring method, apparatus, device, and storage medium.
Background
At present, with the development of internet technology, more and more services are completed online, and the data volume of online orders is also larger and larger, for example, subscription orders, vehicle orders and the like are completed online, and with the increase of online order data, the monitoring of order states is particularly important, but because the order data volume is large, real-time monitoring cannot be achieved for orders, and therefore when the order states are abnormal, early warning cannot be timely performed.
The above is only for the purpose of assisting understanding of the technical aspects of the present invention, and does not represent an admission that the above is prior art.
Disclosure of Invention
The invention mainly aims to provide an order monitoring method, an order monitoring device, order monitoring equipment and a storage medium, and aims to solve the technical problem that the prior art cannot monitor orders with large data volume in real time.
In order to achieve the above object, the present invention provides an order monitoring method, comprising the steps of:
when the target message queue receives order data, extracting corresponding standard index data from the order data according to order monitoring indexes;
determining monitoring result data of the order monitoring index according to the standard index data and historical storage data in a preset database;
and determining whether to send out order early warning information according to the monitoring result data and a preset monitoring rule.
Optionally, when the target message queue receives the order data, extracting corresponding standard index data from the order data according to the order monitoring index includes:
when the target message queue receives order data, determining a data processing subtask corresponding to an order monitoring index;
and processing the order data through the data processing subtask to obtain standard index data corresponding to the order monitoring index.
Optionally, the processing the order data by the data processing subtask to obtain standard index data corresponding to the order monitoring index includes:
extracting a data identifier and an order state value corresponding to the order monitoring index from the order data through the data processing subtask;
and assembling the data identification and the corresponding order state value through the data processing subtask to obtain standard index data corresponding to the order monitoring index.
Optionally, the determining the monitoring result data of the order monitoring index according to the standard index data and the historical storage data in the preset database includes:
judging whether historical storage data in a preset database has historical standard index data corresponding to the order monitoring index;
if yes, determining the monitoring result data of the order monitoring index according to the standard index data and the historical standard index data.
Optionally, the determining, according to the standard index data and the historical standard index data, monitoring result data of the order monitoring index includes:
accumulating the order state values in the standard index data and the corresponding order state values in the historical standard index data;
and determining the monitoring result data of the order monitoring index according to the accumulated order state value.
Optionally, before extracting the corresponding standard index data from the order data according to the order monitoring index when the target message queue receives the order data, the method further includes:
monitoring the data state in the target message queue;
and when the data state is updated, judging that the target message queue receives order data.
Optionally, the determining whether to send out order early warning information according to the monitoring result data and a preset monitoring rule includes:
extracting a monitoring value of the order monitoring index from the monitoring result data;
comparing the monitoring value with a monitoring threshold value configured in a preset monitoring rule;
and determining whether to send out order early warning information according to the comparison result.
In addition, in order to achieve the above object, the present invention further provides an order monitoring apparatus, including:
the extraction module is used for extracting corresponding standard index data from the order data according to the order monitoring index when the order data are received by the target message queue;
the first determining module is used for determining monitoring result data of the order monitoring index according to the standard index data and historical storage data in a preset database;
and the second determining module is used for determining whether to send out order early warning information according to the monitoring result data and a preset monitoring rule.
In addition, in order to achieve the above object, the present invention further provides an order monitoring apparatus, including: a memory, a processor and an order monitoring program stored on the memory and executable on the processor, the order monitoring program being configured to implement the steps of the order monitoring method as described above.
In addition, in order to achieve the above object, the present invention further provides a storage medium, where the storage medium stores an order monitoring program, and the order monitoring program, when executed by a processor, implements the steps of the order monitoring method as described above.
When a target message queue receives order data, extracting corresponding standard index data from the order data according to order monitoring indexes; determining monitoring result data of the order monitoring index according to the standard index data and historical storage data in a preset database; and determining whether to send out order early warning information according to the monitoring result data and a preset monitoring rule. According to the invention, standard index data is extracted from the order data of the target message queue according to the order monitoring index, monitoring result data of the order monitoring index is determined according to the standard index data and historical storage data, whether order early warning information is sent or not is determined according to the monitoring result data and a preset monitoring rule, the order can be monitored in real time according to the order monitoring index, the early warning information is sent in time when the order is abnormal, and the timeliness and the accuracy of order monitoring are improved.
Drawings
FIG. 1 is a schematic structural diagram of an order monitoring device of a hardware operating environment according to an embodiment of the present invention;
FIG. 2 is a flowchart illustrating a first embodiment of an order monitoring method according to the present invention;
FIG. 3 is a flowchart illustrating a second embodiment of an order monitoring method according to the present invention;
FIG. 4 is a flowchart illustrating a third embodiment of an order monitoring method according to the present invention;
FIG. 5 is a block diagram of an order monitoring apparatus according to a first embodiment of the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Referring to fig. 1, fig. 1 is a schematic structural diagram of an order monitoring device of a hardware operating environment according to an embodiment of the present invention.
As shown in fig. 1, the order monitoring apparatus may include: a processor 1001, such as a Central Processing Unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display screen (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a Wireless interface (e.g., a Wireless-Fidelity (WI-FI) interface). The Memory 1005 may be a high-speed Random Access Memory (RAM) or a Non-Volatile Memory (NVM), such as a disk Memory. The memory 1005 may alternatively be a storage device separate from the processor 1001 described previously.
Those skilled in the art will appreciate that the configuration shown in FIG. 1 does not constitute a limitation of the order monitoring equipment, and may include more or fewer components than shown, or some components may be combined, or a different arrangement of components.
As shown in fig. 1, a memory 1005, which is a storage medium, may include therein an operating system, a network communication module, a user interface module, and an order monitoring program.
In the order monitoring apparatus shown in fig. 1, the network interface 1004 is mainly used for data communication with a network server; the user interface 1003 is mainly used for data interaction with a user; the processor 1001 and the memory 1005 in the order monitoring device of the present invention may be disposed in the order monitoring device, and the order monitoring device calls the order monitoring program stored in the memory 1005 through the processor 1001 and executes the order monitoring method provided in the embodiment of the present invention.
An embodiment of the present invention provides an order monitoring method, and referring to fig. 2, fig. 2 is a flowchart illustrating a first embodiment of the order monitoring method according to the present invention.
In this embodiment, the order monitoring method includes the following steps:
step S10: when the target message queue receives order data, extracting corresponding standard index data from the order data according to order monitoring indexes.
It should be noted that the execution subject of the embodiment may be a computing service device with data processing, network communication and program running functions, such as a tablet computer, a personal computer, a mobile phone, etc., or an electronic device, an order monitoring device, etc. capable of implementing the above functions. The present embodiment and the following embodiments are described below by taking an order monitoring apparatus as an example.
It is understood that the target message queue may be a queue for receiving order data sent by the business system; the order data may be data related to order status acquired from the service system according to preset data transmission content and data transmission format, for example, the order data includes service code, monitoring task code, order number, payment status, request time, intermediate status, result status, return code, and the like; the order monitoring index may be a preset index that needs to monitor the order status sent by the service system, for example, the order monitoring index includes an order total amount, an order success amount, an order failure amount, an order success rate, and the like; the standard index data may be preset index data with a specific format corresponding to the order monitoring index, and the standard index data corresponding to different order monitoring indexes are different.
It should be understood that, extracting the corresponding standard index data from the order data according to the order monitoring index may be extracting data corresponding to the order monitoring index from the order data, and assembling the extracted data according to a preset standard format to obtain the standard index data corresponding to the order monitoring index; for example, if the order monitoring index is the order success amount, the result state is extracted from the order data, and the result state is assembled according to a preset format to obtain standard index data corresponding to the monitoring index, namely the order success amount.
Step S20: and determining the monitoring result data of the order monitoring index according to the standard index data and historical storage data in a preset database.
It can be understood that the preset database may be a database storing historical standard index data corresponding to the order monitoring index, and the historical storage data may be historical standard index data corresponding to the order monitoring index; the monitoring result data may be result data of order monitoring indexes, for example, the monitoring result data includes order total amount, order success amount, order failure amount, order success rate, and the like; the preset database may be a Remote Dictionary service (Redis), in order to save a storage space, a storage duration of the history storage data in the preset database may be adjusted according to a monitoring period in the service monitoring rule, a monitoring period corresponding to an order monitoring index may be extracted from the service monitoring rule, and a storage duration of the history standard index data corresponding to the order monitoring index in the preset database may be set as the monitoring period; for example, if order data per second needs to be monitored, the storage duration of the historical data in the preset database is 1 second, and if order data per minute needs to be monitored, the storage duration of the historical data in the preset database is 1 minute, which can be determined according to actual conditions, and this embodiment is not limited herein.
Step S30: and determining whether to send out order early warning information according to the monitoring result data and a preset monitoring rule.
It can be understood that the preset monitoring rule may be a preset monitoring rule for an order monitoring index, and the preset monitoring rule includes an early warning logic and a monitoring threshold, for example, the early warning logic is as follows: the order quantity in the preset time length is lower than an order quantity threshold value, and the order quantity threshold value is as follows: 10; the early warning logic is as follows: the order success rate is lower than the order success rate threshold value within the preset duration, and the order success rate threshold value is as follows: 80 percent; the preset monitoring rule may be set according to a specific scenario, and the embodiment is not limited herein.
In specific implementations, for example: allocating a target message queue topic123 for the service system A, presetting data transmission content and a data transmission format of the service system A, wherein an order monitoring index is an order success rate, and presetting a monitoring rule that an early warning message is sent out when the order success rate is lower than 80%; the service system A sends order data to the topic through Kafka according to preset data transmission content and a preset data transmission format, and the Kafka ensures that a proper partition is set for reliability to receive the order data sent by the service system A; the order monitoring equipment extracts a service code, a monitoring task code and a result state from order data through Storm or Flink according to a monitoring index of the order success rate, generates a data identifier according to the service code and the monitoring task code, correspondingly stores the data identifier and the result state to obtain standard index data corresponding to the order success rate, accumulates the standard index data and historical standard index data corresponding to order monitoring and stored in a preset database, determines the order success rate of the service system A at the current moment according to the accumulated result, and does not send early warning information at the moment if the order success rate is 90 percent because the order success rate is higher than a threshold value in a preset monitoring rule.
Further, in order to monitor the order status in real time, before step S10, the method further includes: monitoring the data state in a target message queue; and when the data state is updated, judging that the target message queue receives order data.
It can be understood that the data status may be a status of whether the order data in the target message queue is updated, and when the message queue receives the order data sent by the service system, the order data in the target message queue is updated, and at this time, the order monitoring device determines that the target message queue receives the order data.
Further, in order to send out early warning information in time to remind relevant personnel to process relevant orders when the order data is abnormal, the step S30 includes: extracting a monitoring value of the order monitoring index from the monitoring result data; comparing the monitoring value with a monitoring threshold value configured in a preset monitoring rule; and determining whether to send out order early warning information according to the comparison result.
It can be understood that the monitoring value may be a value corresponding to a monitoring index, for example, if the monitoring index is an order success rate, the monitoring value may be a percentage, if the monitoring index is an order total amount, the monitoring value may be a positive integer, or the monitoring value may be a value in another form, which is not limited herein; the monitoring threshold value can be a preset monitoring threshold value corresponding to the order monitoring index; determining whether to send out the order form early warning information according to the comparison result may be determining whether to send out the order form early warning information according to a size relationship between the monitoring value and the monitoring threshold value, for example, if the monitoring value is greater than the monitoring threshold value, and if the preset monitoring rule is that the monitoring value is greater than the preset monitoring threshold value, the order form monitoring device sends the early warning information to the corresponding terminal device.
In this embodiment, when the target message queue receives order data, corresponding standard index data is extracted from the order data according to an order monitoring index; determining monitoring result data of the order monitoring index according to the standard index data and historical storage data in a preset database; and determining whether to send out order early warning information according to the monitoring result data and a preset monitoring rule. According to the method and the device, the standard index data are extracted from the order data of the target message queue according to the order monitoring indexes, the monitoring result data of the order monitoring indexes are determined according to the standard index data and the historical storage data, whether order early warning information is sent out or not is determined according to the monitoring result data and the preset monitoring rule, the order can be monitored in real time according to the order monitoring indexes, the early warning information is sent out in time when the order is abnormal, and the timeliness and the accuracy of order monitoring are improved.
Referring to fig. 3, fig. 3 is a flowchart illustrating a second embodiment of the order monitoring method according to the present invention.
Based on the first embodiment described above, in the present embodiment, the step S10 includes:
step S101: when the target message queue receives order data, determining a data processing subtask corresponding to an order monitoring index;
step S102: and processing the order data through the data processing subtask to obtain standard index data corresponding to the order monitoring index.
It can be understood that the data processing subtask may be a task for processing order data, where the data processing subtasks corresponding to different order monitoring indicators are different, for example, the order monitoring indicator is an order success rate, and the data processing subtask corresponding to the order success rate needs to extract data related to the order success rate from the order data and process the extracted data into standard indicator data in a preset format.
Further, in order to obtain standard index data corresponding to the order monitoring index, the step S102 includes: extracting a data identifier and an order state value corresponding to the order monitoring index from the order data through the data processing subtask; and assembling the data identification and the corresponding order state value through the data processing subtask to obtain standard index data corresponding to the order monitoring index.
It is understood that the data identifier may be an identifier capable of representing order information; the order status value may be a value corresponding to the data identification; assembling the data identifier with the order status value may be storing the data identifier in correspondence with the order status value.
In specific implementation, for example, the order monitoring index is an order success rate, the service system a sends order data including a service number, a monitoring task code, an order number, a payment state, request time, an intermediate state, a result state, and a return code of each subscription request to the target message queue topic123 according to a predetermined data transmission format and data transmission content, the order monitoring device monitors the topic123 in real time through a real-time processing framework, acquires the order data after updating the order data in the topic123, extracts a service system name and a service module name from the order data, uses the current time, the service system name, and the service module name as data identifiers, and stores the data identifiers and the order state values into Redis in a preset data format, where the standard index data may be data in a Key-Value format, for example: key: service a _ service module 123_ year, month, day, hour, minute, second (current time), value: total @ success @ failure @ success @ amount.
In the embodiment, when the target message queue receives order data, a data processing subtask corresponding to an order monitoring index is determined; and processing the order data through the data processing subtask to obtain standard index data corresponding to the order monitoring index. According to the embodiment, the order data are processed through the data processing subtask corresponding to the order monitoring index to obtain the standard index data, data required by order monitoring can be extracted from the order data according to different order monitoring indexes, and the accuracy of order monitoring is improved while the data processing efficiency is improved.
Referring to fig. 4, fig. 4 is a flowchart illustrating an order monitoring method according to a third embodiment of the present invention.
Based on the foregoing embodiments, in this embodiment, the step S20 includes:
step S201: and judging whether historical standard index data corresponding to the order monitoring index exist in historical storage data in a preset database.
It can be understood that there may not be historical standard index data corresponding to the order monitoring index in the preset database; for example, an order monitoring index is newly added, and at this time, the preset database does not have historical standard index data corresponding to the order monitoring index.
Step S202: if yes, determining the monitoring result data of the order monitoring index according to the standard index data and the historical standard index data.
In specific implementation, the order monitoring equipment judges whether historical standard index data corresponding to the order monitoring index exists in a preset database, and if so, the order monitoring equipment determines monitoring result data of the order monitoring index according to the standard index data and the historical standard index data; and if the order monitoring index does not exist, storing the standard index data into a preset database, and taking the standard index data as the monitoring result data of the order monitoring index.
Further, in order to improve timeliness of order state monitoring, the determining, according to the standard index data and the historical standard index data, monitoring result data of the order monitoring index includes: accumulating the order state values in the standard index data and the corresponding order state values in the historical standard index data; and determining the monitoring result data of the order monitoring index according to the accumulated order state value.
In specific implementations, for example: the format of the standard metric data may be: key: service a _ service module 123_ year, month, day, hour, minute, second (current time), value: total @ success @ failure @ success @ amount; assuming that the order monitoring index is the order success rate, the historical standard index data stored in the preset database Redis is as follows: key: sub1_ monitor123_ 20220853013, value; assuming that the current standard index data is Key: sub1_ monitor123_20220829153013, value: key: sub1_ monitor123_20220829153013, value; assuming that the current standard index data is: key: sub1_ monitor123_ 20220853013, value: key: sub1_ monitor123_20220829153013, value; it is assumed that the preset monitoring rule of the service module monitor123 is to alarm by short message when the success rate per second is lower than 98%. Then the monitoring result data is Key: sub1_ monitor123_ 20220853013, value.
In the embodiment, whether historical standard index data corresponding to the order monitoring index exists in historical storage data in a preset database is judged; if yes, determining the monitoring result data of the order monitoring index according to the standard index data and the historical standard index data. According to the embodiment, the monitoring result data of the order monitoring index is determined according to the current standard index data and the historical standard index data, and the timeliness of order monitoring is improved.
In addition, an embodiment of the present invention further provides a storage medium, where an order monitoring program is stored on the storage medium, and the order monitoring program, when executed by a processor, implements the steps of the order monitoring method described above.
Referring to fig. 5, fig. 5 is a block diagram of the first embodiment of the order monitoring apparatus according to the present invention.
As shown in fig. 5, an order monitoring apparatus according to an embodiment of the present invention includes:
the extraction module 10 is configured to extract, when the target message queue receives order data, corresponding standard index data from the order data according to an order monitoring index;
a first determining module 20, configured to determine monitoring result data of the order monitoring index according to the standard index data and historical storage data in a preset database;
and a second determining module 30, configured to determine whether to send out order early warning information according to the monitoring result data and a preset monitoring rule.
In this embodiment, when the target message queue receives order data, corresponding standard index data is extracted from the order data according to an order monitoring index; determining monitoring result data of the order monitoring index according to the standard index data and historical storage data in a preset database; and determining whether to send out order early warning information according to the monitoring result data and a preset monitoring rule. According to the method and the device, the standard index data are extracted from the order data of the target message queue according to the order monitoring indexes, the monitoring result data of the order monitoring indexes are determined according to the standard index data and the historical storage data, whether order early warning information is sent or not is determined according to the monitoring result data and the preset monitoring rule, the order can be monitored in real time according to the order monitoring indexes, the early warning information is sent in time when the order is abnormal, and timeliness and accuracy of order monitoring are improved.
Based on the first embodiment of the order monitoring apparatus of the present invention, a second embodiment of the order monitoring apparatus of the present invention is provided.
In this embodiment, the extracting module 10 is further configured to determine a data processing subtask corresponding to an order monitoring index when the target message queue receives order data; and processing the order data through the data processing subtask to obtain standard index data corresponding to the order monitoring index.
The extracting module 10 is further configured to extract, from the order data through the data processing subtask, a data identifier and an order state value corresponding to the order monitoring index; and assembling the data identification and the corresponding order state value through the data processing subtask to obtain standard index data corresponding to the order monitoring index.
The first determining module 20 is further configured to determine whether historical standard index data corresponding to the order monitoring index exists in historical storage data in a preset database; if yes, determining the monitoring result data of the order monitoring index according to the standard index data and the historical standard index data.
The first determining module 20 is further configured to accumulate the order state values in the standard index data and the corresponding order state values in the historical standard index data; and determining the monitoring result data of the order monitoring index according to the accumulated order state value.
The extracting module 10 is further configured to monitor a data state in the target message queue; and when the data state is updated, judging that the target message queue receives order data.
The second determining module 20 is further configured to extract a monitoring value of the order monitoring index from the monitoring result data; comparing the monitoring value with a monitoring threshold value configured in a preset monitoring rule; and determining whether to send out order early warning information according to the comparison result.
Other embodiments or specific implementation manners of the order monitoring apparatus of the present invention may refer to the above method embodiments, and are not described herein again.
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 system 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 system. Without further limitation, an element defined by the phrases "comprising one of 8230; \8230;" 8230; "does not exclude the presence of additional like elements in a process, method, article, or system that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (e.g., a rom/ram, a magnetic disk, an optical disk) and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. An order monitoring method, the method comprising:
when the target message queue receives order data, extracting corresponding standard index data from the order data according to order monitoring indexes;
determining monitoring result data of the order monitoring index according to the standard index data and historical storage data in a preset database;
and determining whether to send out order early warning information according to the monitoring result data and a preset monitoring rule.
2. The method of claim 1, wherein extracting corresponding standard metric data from the order data according to an order monitoring metric when the order data is received by the target message queue comprises:
when the target message queue receives order data, determining a data processing subtask corresponding to an order monitoring index;
and processing the order data through the data processing subtask to obtain standard index data corresponding to the order monitoring index.
3. The method of claim 2, wherein the processing the order data by the data processing subtask to obtain standard index data corresponding to the order monitoring index comprises:
extracting a data identifier and an order state value corresponding to the order monitoring index from the order data through the data processing subtask;
and assembling the data identification and the corresponding order state value through the data processing subtask to obtain standard index data corresponding to the order monitoring index.
4. The method according to any one of claims 1 to 3, wherein the determining of the monitoring result data of the order monitoring index according to the standard index data and the historical storage data in the preset database comprises:
judging whether historical storage data in a preset database has historical standard index data corresponding to the order monitoring index;
if yes, determining the monitoring result data of the order monitoring index according to the standard index data and the historical standard index data.
5. The method of claim 4, wherein said determining monitoring result data for said order monitoring indicator based on said standard indicator data and said historical standard indicator data comprises:
accumulating the order state values in the standard index data and the corresponding order state values in the historical standard index data;
and determining the monitoring result data of the order monitoring index according to the accumulated order state value.
6. The method according to any one of claims 1-3, wherein before extracting corresponding standard metric data from the order data according to the order monitoring metric when the order data is received by the target message queue, further comprising:
monitoring the data state in the target message queue;
and when the data state is updated, judging that the target message queue receives order data.
7. The method according to any one of claims 1 to 3, wherein the determining whether to send out order early warning information according to the monitoring result data and a preset monitoring rule comprises:
extracting a monitoring value of the order monitoring index from the monitoring result data;
comparing the monitoring value with a monitoring threshold value configured in a preset monitoring rule;
and determining whether to send out order early warning information according to the comparison result.
8. An order monitoring apparatus, the apparatus comprising:
the extraction module is used for extracting corresponding standard index data from the order data according to the order monitoring index when the order data is received by the target message queue;
the first determining module is used for determining monitoring result data of the order monitoring index according to the standard index data and historical storage data in a preset database;
and the second determining module is used for determining whether to send out order early warning information according to the monitoring result data and a preset monitoring rule.
9. An order monitoring apparatus, characterized in that the apparatus comprises: a memory, a processor and an order monitoring program stored on the memory and executable on the processor, the order monitoring program being configured to implement the steps of the order monitoring method as claimed in any one of claims 1 to 7.
10. A storage medium, characterized in that the storage medium has stored thereon an order monitoring program which, when executed by a processor, carries out the steps of the order monitoring method according to any one of claims 1 to 7.
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