CN111858357B - Performance test monitoring method and equipment and related equipment thereof - Google Patents

Performance test monitoring method and equipment and related equipment thereof Download PDF

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Publication number
CN111858357B
CN111858357B CN202010716588.6A CN202010716588A CN111858357B CN 111858357 B CN111858357 B CN 111858357B CN 202010716588 A CN202010716588 A CN 202010716588A CN 111858357 B CN111858357 B CN 111858357B
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data packet
performance test
test monitoring
application
url
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CN111858357A (en
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吕妩明
范渊
刘博�
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DBAPPSecurity Co Ltd
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DBAPPSecurity Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/36Preventing errors by testing or debugging software
    • G06F11/3668Software testing
    • G06F11/3672Test management
    • G06F11/3688Test management for test execution, e.g. scheduling of test suites
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L61/00Network arrangements, protocols or services for addressing or naming
    • H04L61/50Address allocation
    • H04L61/5007Internet protocol [IP] addresses

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Computer Hardware Design (AREA)
  • Quality & Reliability (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Debugging And Monitoring (AREA)

Abstract

The application discloses a performance test monitoring method, which comprises the steps of obtaining a first data packet accessing current service IP feedback; extracting and obtaining an application ID from the first data packet; splicing the current service IP and the application ID to obtain a first URL; acquiring a second data packet which accesses the first URL feedback; extracting and obtaining a task ID from the second data packet; splicing the current service IP, the application ID and the task ID to obtain a second URL; acquiring a third data packet fed back by accessing the second URL; extracting performance test monitoring information from the third data packet; the performance test monitoring method can more effectively improve the performance test efficiency of the product and obtain test information. The application also discloses a performance test monitoring device, equipment and a computer readable storage medium, which have the beneficial effects.

Description

Performance test monitoring method and equipment and related equipment thereof
Technical Field
The present disclosure relates to the field of performance testing technologies, and in particular, to a performance testing monitoring method, and a performance testing monitoring apparatus, device, and computer readable storage medium.
Background
At present, when testing product performance, a browser accesses a service, displays application jobs (application programs) of 3 running services on an interface, clicks each application job to check a Flink job (a program running on an Apache Flink), and then clicks the Flink job to check a specific performance index item. Therefore, the whole performance test process needs to be manually participated and needs to be repeatedly operated, and the problem of serious inefficiency exists.
Therefore, how to more effectively improve the performance testing efficiency of the product and obtain the testing information are the problems to be solved by the technicians in the field.
Disclosure of Invention
The purpose of the application is to provide a performance test monitoring method, which can more effectively improve the performance test efficiency of the product and obtain test information; it is a further object of the present application to provide a performance test monitoring apparatus, device and computer readable storage medium, which also have the above-mentioned beneficial effects.
In order to solve the above technical problems, in a first aspect, the present application provides a performance test monitoring method, including:
acquiring a first data packet which accesses the current service IP feedback;
extracting and obtaining an application ID from the first data packet;
splicing the current service IP and the application ID to obtain a first URL;
acquiring a second data packet which accesses the first URL feedback;
extracting and obtaining a task ID from the second data packet;
splicing the current service IP, the application ID and the task ID to obtain a second URL;
acquiring a third data packet fed back by accessing the second URL;
and extracting performance test monitoring information from the third data packet.
Preferably, the obtaining the first data packet accessing the current service IP feedback includes:
the simulation browser accesses the current service IP;
and acquiring the first data packet fed back by the server corresponding to the current service IP.
Preferably, the accessing, by the simulated browser, the current service IP includes:
and simulating the browser to access the current service IP according to a preset time interval.
Preferably, the performance test monitoring method further comprises:
and storing the performance test monitoring information into a preset file.
Preferably, the performance test monitoring method further comprises:
and calculating according to each performance test monitoring information in a preset time period in the preset file to obtain a total performance test result, and generating a performance curve graph according to the total performance test result.
Preferably, the performance test monitoring information includes a name, a current time and a current throughput of each performance test index item.
Preferably, the extracting to obtain the application ID from the first data packet includes:
and extracting and obtaining the application ID from the first data packet through a regular expression.
In a second aspect, the present application further provides a performance test monitoring apparatus, including:
the first data packet acquisition module is used for acquiring a first data packet which accesses the current service IP feedback;
the first data packet extraction module is used for extracting and obtaining an application ID from the first data packet;
the first URL generation module is used for splicing the current service IP and the application ID to obtain a first URL;
the second data packet acquisition module is used for acquiring a second data packet fed back by accessing the first URL;
the second data packet extraction module is used for extracting and obtaining a task ID from the second data packet;
the second URL generation module is used for splicing the current service IP, the application ID and the task ID to obtain a second URL;
the third data packet acquisition module is used for acquiring a third data packet fed back by accessing the second URL;
and the third data packet extraction module is used for extracting and obtaining performance test monitoring information from the third data packet.
In a third aspect, the present application also discloses a performance test monitoring apparatus, including:
a memory for storing a computer program;
a processor for executing the computer program to implement the steps of any of the performance test monitoring methods described above.
In a fourth aspect, the present application also discloses a computer readable storage medium having stored therein a computer program which when executed by a processor is adapted to carry out the steps of any of the performance test monitoring methods described above.
The performance test monitoring method comprises the steps of obtaining a first data packet which accesses the current service IP feedback; extracting and obtaining an application ID from the first data packet; splicing the current service IP and the application ID to obtain a first URL; acquiring a second data packet which accesses the first URL feedback; extracting and obtaining a task ID from the second data packet; splicing the current service IP, the application ID and the task ID to obtain a second URL; acquiring a third data packet fed back by accessing the second URL; and extracting performance test monitoring information from the third data packet.
Therefore, according to the performance test monitoring method, the whole performance test process can be completed only by the IP information of the server, when performance test is performed, the application ID and the task ID are obtained dynamically by grabbing the data packet, and then the data packet is spliced into a new URL for access, so that performance test monitoring information is extracted and obtained, automation of product performance test is realized, and product performance test efficiency is greatly improved; moreover, the performance test monitoring method has higher applicability and can be suitable for different test environments.
The performance test monitoring device, the equipment and the computer readable storage medium provided by the application have the beneficial effects and are not described in detail herein.
Drawings
In order to more clearly illustrate the prior art and the technical solutions in the embodiments of the present application, the following will briefly describe the drawings that need to be used in the description of the prior art and the embodiments of the present application. Of course, the following figures related to the embodiments of the present application are only some of the embodiments of the present application, and it is obvious to those skilled in the art that other figures can be obtained from the provided figures without any inventive effort, and the obtained other figures also belong to the protection scope of the present application.
FIG. 1 is a schematic flow chart of a performance test monitoring method provided in the present application;
FIG. 2 is a schematic structural diagram of a performance test monitoring apparatus provided in the present application;
fig. 3 is a schematic structural diagram of a performance test monitoring apparatus provided in the present application.
Detailed Description
The core of the application is to provide a performance test monitoring method, which can more effectively improve the performance test efficiency of the product and obtain test information; another core of the present application is to provide a performance test monitoring apparatus, device and computer readable storage medium, which also have the above-mentioned advantageous effects.
In order to more clearly and completely describe the technical solutions in the embodiments of the present application, the technical solutions in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application. It will be apparent that the described embodiments are only some, but not all, of the embodiments of the present application. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present disclosure.
At present, when testing product performance, a browser accesses a service, displays application jobs (application programs) of 3 running services on an interface, clicks each application job to check a Flink job (a program running on an Apache Flink), and then clicks the Flink job to check a specific performance index item. Therefore, the whole product performance test process needs to be manually participated and needs to be repeatedly operated, and the problem of serious inefficiency exists. Therefore, in order to solve the technical problems, the application provides a performance test monitoring method, which can more effectively improve the performance test efficiency of the product and obtain test information.
Referring to fig. 1, fig. 1 is a flow chart of a performance test monitoring method provided in the present application, including:
s101: acquiring a first data packet which accesses the current service IP feedback;
this step aims at achieving the acquisition of a first data packet, which is a data packet obtained by accessing a specified server. Specifically, the IP address of the designated server, that is, the current service IP, may be obtained, and an access request is initiated to the corresponding server according to the current IP, so as to obtain the first data packet fed back by the corresponding server. The current server IP is input by the user through the corresponding terminal equipment. It will be appreciated that the specific content of the first data packet corresponds to the access request, which is not limited in this application.
As a preferred embodiment, the obtaining the first data packet that accesses the current service IP feedback may include: the simulation browser accesses the current service IP; and acquiring a first data packet fed back by a server corresponding to the current service IP.
The preferred embodiment provides a more specific method for acquiring the first data packet, after the current service IP is acquired, an access request can be initiated to a corresponding server through a simulation browser, so that the first data packet fed back by the server can be acquired.
As a preferred embodiment, the accessing, by the analog browser, the current service IP may include: and simulating the browser to access the current service IP according to the preset time interval.
Specifically, the timing monitoring of the performance test can be realized by setting the access time interval of the access server, namely, the current service IP is accessed according to the preset time interval. The specific value of the preset time interval does not affect the implementation of the technical scheme, and the application is not limited to this, for example, in the application, the preset time interval is set to be one hour.
S102: extracting and obtaining an application ID from the first data packet;
the step aims at realizing acquisition of application ID, namely the ID information of application job. Specifically, after the first data packet fed back by the server is obtained, information extraction can be performed on the first data packet to obtain a corresponding application ID. It should be noted that the number of application IDs extracted here is not unique, and may be one or a plurality of application IDs, for example, 3 application IDs are extracted in the present application to ensure accuracy of the product performance test result.
As a preferred embodiment, the extracting the application ID from the first data packet may include: and extracting the application ID from the first data packet through the regular expression.
The preferred embodiment provides a specific method for extracting an application ID, that is, based on a regular expression, and the specific implementation process of the method is only required to refer to the prior art, which is not repeated herein. It should be understood that the information extraction method is only one implementation manner provided in the present preferred embodiment, and is not unique, any information extraction method may be adopted, and information extraction may be implemented, which is not limited in this application.
S103: splicing the current service IP and the application ID to obtain a first URL (Uniform Resource Locator );
the step aims at generating a first URL based on the current service IP and the application ID, specifically, splicing the current service IP and the application ID to generate the first URL. For example, assuming that the current service IP is 192.168.30.224, after the application ID is obtained, the first URL after the two are spliced is: http://192.168.30.224/proxy/$ { app Id }/jobs/oversview, wherein app Id is the application ID.
S104: acquiring a second data packet which accesses the first URL feedback;
the step aims to acquire the second data packet, and similar to the acquisition process of the first data packet, the first URL can be accessed after the first URL is acquired, and the access process can also be realized by simulating the browser to access the first URL, so that the second data packet fed back by accessing the first URL is acquired. Likewise, the content of the second data packet corresponds to the first URL.
S105: extracting and obtaining a task ID from the second data packet;
the step aims at achieving acquisition of task ID, wherein the task ID is the ID information of the flink job. Specifically, after the second data packet fed back by accessing the first URL is obtained, information extraction can be performed on the second data packet to obtain a corresponding task ID. It should be noted that the number of task IDs extracted here is unique, because one application ID corresponds to one fixed task ID, but the task IDs corresponding to different application IDs are different. In addition, the task ID extraction process can also be implemented based on regular expressions.
S106: splicing the current service IP, the application ID and the task ID to obtain a second URL;
the step aims to generate the second URL, and similar to the generation process of the first URL, the step can be realized based on the current service IP, the application ID and the task ID, and specifically, the three are spliced to generate the second URL. For example, assume that the current service IP is 192.168.30.224, and the second URL generated after it is spliced with the application ID and the task ID is: http://192.168.30.224/proxy/$ { app Id }/jobs/$ { flink job Id }, where app Id is the application ID and flink job Id is the task ID.
S107: acquiring a third data packet fed back by accessing the second URL;
the step aims at realizing the acquisition of the third data packet, and is similar to the acquisition process of the first data packet and the second data packet, after the second URL is obtained, the second URL can be accessed, and the access process can be realized by simulating the browser to access the second URL, so that the third data packet fed back by accessing the second URL is obtained. Likewise, the content of the third data packet corresponds to the second URL.
S108: and extracting performance test monitoring information from the third data packet.
The step aims to acquire performance test monitoring information, specifically, after a third data packet fed back by accessing a second URL is acquired, the third data packet can be subjected to information extraction to acquire the performance test monitoring information, and the information extraction process can be realized based on a regular expression, so that performance test monitoring is completed, and the performance test monitoring information is acquired.
As a preferred embodiment, the performance test monitoring information may include a name of each performance test index item, a current time, and a current throughput.
The specific content of the performance test monitoring information is provided in the preferred embodiment, including the name, the current time, the current throughput, etc. of each performance test index item, and of course, the above content is only one implementation manner provided in the preferred embodiment, and is not unique, and the technician can set and obtain other monitoring information according to the actual requirement, which is not limited in this application.
As a preferred embodiment, the performance test monitoring method may further include: and storing the performance test monitoring information into a preset file.
The step aims to store performance test monitoring information, and specifically, after each time performance test monitoring is completed, the obtained test monitoring information can be stored in a preset file so as to be convenient for a technician to check.
As a preferred embodiment, the performance test monitoring method may further include: and calculating according to the performance test monitoring information in the preset time period in the preset file to obtain a total performance test result, and generating a performance curve graph according to the total performance test result.
Specifically, for the performance test monitoring information stored in the preset file, the total performance test result can be calculated by acquiring the information in the preset time period, for example, performance test monitoring can be performed once every one hour, and the calculation of the total performance test result can be realized by acquiring 24 performance test monitoring information in 24 hours. Furthermore, the performance graph can be drawn according to the monitoring information of each performance test and the total performance test result, so that the technician can obtain the performance test result more intuitively. Of course, the specific value of the preset time period is not unique, and the specific value is set by a technician according to the actual requirement, which is not limited in the application.
Therefore, according to the performance test monitoring method, the whole performance test process can be completed only by the IP information of the server, when performance test is performed, the application ID and the task ID are obtained dynamically by grabbing the data packet, and then the data packet is spliced into a new URL for access, so that performance test monitoring information is extracted and obtained, automation of product performance test is realized, and product performance test efficiency is greatly improved; moreover, the performance test monitoring method has higher applicability and can be suitable for different test environments.
On the basis of the above embodiments, taking an enterprise user as an example, the embodiments of the present application provide a more specific performance test monitoring method, which specifically includes the following implementation procedures:
step 1, a server IP is designated, for example, 192.168.30.224, and the simulated browser accesses the server and grabs a data packet returned by the simulated browser, and 3 IDs of application jobs currently running, namely application job ID (application ID), are regularly extracted from the data packet, and the 3 IDs application job ID respectively contain different performance test index items.
The 3 application job ID programs are different each time the program runs, but the ID names of the programs have a certain rule, and the ID names can be extracted through the rule.
Step 2, for each application job id, the following operations are performed:
(1) And splicing a new URL according to the server IP and application job ID, simulating the browser to access the URL, capturing a returned data packet, and regularly extracting a corresponding flinkjob ID (task ID) from the data packet.
One application job id corresponds to one fixed flink job id, and flink job ids corresponding to different application job id are different, but naming of flink job also has a certain rule, and can be extracted through the rule.
Further, the spliced URL address format is as follows:
http://192.168.30.224/proxy/${app Id}/jobs/overview。
(2) And splicing a new URL according to the IP, application job id and the link job id of the server, simulating the browser to access the URL, capturing a returned data packet, and extracting a performance index detection item from the data packet.
Further, the spliced URL address format is as follows:
http://192.168.30.224/proxy/${app Id}/jobs/${flink job Id}。
(3) And recording the name, the current time and the current processing number of each performance index detection item into a file.
Step 3, executing the step 1 and the step 2 at regular time, wherein the execution frequency and the times are as follows: 1 time per hour, for a total of 24 times. Further, according to the result recorded in the file, the following operations are performed for each performance index detection item:
(1) According to the number of the first record and the last record in the file, calculating the total performance test result, and the calculating method comprises the following steps: (last number-first number)/time interval.
(2) The performance test results of 23 times per hour are calculated except for the first time, and the calculation method comprises the following steps: (number of present records-number of last records)/time interval, further, drawing a performance graph according to the calculated 23 data, and finally, performing performance analysis according to the performance graph, such as the influence degree of some timing tasks in the program on the performance.
Therefore, according to the performance test monitoring method provided by the embodiment of the application, the whole performance test process can be completed only by the IP information of the server, when performance test is performed, the application ID and the task ID are obtained dynamically by grabbing the data packet, and then the data packet is spliced into a new URL for access, so that the performance test monitoring information is extracted and obtained, the automation of the performance test of the product is realized, and the performance test efficiency of the product is greatly improved; moreover, the performance test monitoring method has higher applicability and can be suitable for different test environments.
In order to solve the above technical problems, the present application further provides a performance test monitoring device, please refer to fig. 2, fig. 2 is a schematic structural diagram of the performance test monitoring device provided in the present application, including:
the first data packet acquisition module 1 is used for acquiring a first data packet which accesses the current service IP feedback;
a first data packet extracting module 2, configured to extract and obtain an application ID from the first data packet;
the first URL generating module 3 is configured to splice the current service IP and the application ID to obtain a first URL;
the second data packet obtaining module 4 is used for obtaining a second data packet fed back by accessing the first URL;
a second data packet extracting module 5, configured to extract and obtain a task ID from the second data packet;
the second URL generating module 6 is configured to splice the current service IP, the application ID, and the task ID to obtain a second URL;
a third data packet obtaining module 7, configured to obtain a third data packet that accesses the second URL feedback;
and the third data packet extracting module 8 is used for extracting and obtaining performance test monitoring information from the third data packet.
Therefore, the performance test monitoring device provided by the embodiment of the application can complete the whole performance test process only by the IP information of the server, and when the performance test is performed, the application ID and the task ID are obtained dynamically by grabbing the data packet and then spliced into a new URL for access, so that the performance test monitoring information is extracted and obtained, the automation of the performance test of the product is realized, and the performance test efficiency of the product is greatly improved; moreover, the performance test monitoring method has higher applicability and can be suitable for different test environments.
As a preferred embodiment, the first packet acquisition module 1 may include:
an access unit for simulating the browser to access the current service IP;
and the data packet acquisition unit is used for acquiring a first data packet fed back by the server corresponding to the current service IP.
As a preferred embodiment, the above access unit may be specifically configured to simulate the browser to access the current service IP at preset time intervals.
As a preferred embodiment, the performance test monitoring apparatus may further include an information storage unit for storing the performance test monitoring information to a preset file.
As a preferred embodiment, the performance test monitoring apparatus may further include a curve drawing unit for calculating and obtaining a total performance test result according to each performance test monitoring information in a preset time period in a preset file, and generating a performance graph according to the total performance test result.
As a preferred embodiment, the performance test monitoring information may include a name of each performance test index item, a current time, and a current throughput.
As a preferred embodiment, the first data packet extracting module 2 may be specifically configured to extract the application ID from the first data packet by using a regular expression.
For the description of the apparatus provided in the present application, reference is made to the above method embodiments, and the description is omitted herein.
In order to solve the above technical problems, the present application further provides a performance test monitoring apparatus, please refer to fig. 3, fig. 3 is a schematic structural diagram of the performance test monitoring apparatus provided in the present application, and the performance test monitoring apparatus may include:
a memory 10 for storing a computer program;
the processor 20 is configured to execute the computer program to implement the steps of any of the performance test monitoring methods described above.
For the description of the apparatus provided in the present application, reference is made to the above method embodiments, and the description is omitted herein.
To solve the above-mentioned problems, the present application further provides a computer readable storage medium, on which a computer program is stored, where the computer program when executed by a processor can implement the steps of any of the performance test monitoring methods described above.
The computer readable storage medium may include: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
For the description of the computer-readable storage medium provided in the present application, reference is made to the above method embodiments, and the description is omitted herein.
In the description, each embodiment is described in a progressive manner, and each embodiment is mainly described by the differences from other embodiments, so that the same similar parts among the embodiments are mutually referred. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant points refer to the description of the method section.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative elements and steps are described above generally in terms of functionality in order to clearly illustrate the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. The software modules may be disposed in Random Access Memory (RAM), memory, read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
The technical scheme provided by the application is described in detail. Specific examples are set forth herein to illustrate the principles and embodiments of the present application, and the description of the examples above is only intended to assist in understanding the methods of the present application and their core ideas. It should be noted that it would be obvious to those skilled in the art that various improvements and modifications can be made to the present application without departing from the principles of the present application, and such improvements and modifications fall within the scope of the present application.

Claims (10)

1. A performance test monitoring method, comprising:
acquiring a first data packet which accesses the current service IP feedback;
extracting and obtaining an application ID from the first data packet;
splicing the current service IP and the application ID to obtain a first URL;
acquiring a second data packet which accesses the first URL feedback;
extracting and obtaining a task ID from the second data packet;
splicing the current service IP, the application ID and the task ID to obtain a second URL;
acquiring a third data packet fed back by accessing the second URL;
and extracting performance test monitoring information from the third data packet.
2. The performance test monitoring method according to claim 1, wherein the obtaining the first data packet accessing the current service IP feedback comprises:
the simulation browser accesses the current service IP;
and acquiring the first data packet fed back by the server corresponding to the current service IP.
3. The performance test monitoring method according to claim 2, wherein the accessing of the current service IP by the simulated browser comprises:
and simulating the browser to access the current service IP according to a preset time interval.
4. A performance test monitoring method according to any one of claims 1 to 3, further comprising:
and storing the performance test monitoring information into a preset file.
5. The performance test monitoring method of claim 4, further comprising:
and calculating according to each performance test monitoring information in a preset time period in the preset file to obtain a total performance test result, and generating a performance curve graph according to the total performance test result.
6. The performance test monitoring method of claim 4, wherein the performance test monitoring information includes a name of each performance test index item, a current time, and a current throughput.
7. The performance test monitoring method according to claim 1, wherein the extracting the application ID from the first data packet includes:
and extracting and obtaining the application ID from the first data packet through a regular expression.
8. A performance test monitoring apparatus, comprising:
the first data packet acquisition module is used for acquiring a first data packet which accesses the current service IP feedback;
the first data packet extraction module is used for extracting and obtaining an application ID from the first data packet;
the first URL generation module is used for splicing the current service IP and the application ID to obtain a first URL;
the second data packet acquisition module is used for acquiring a second data packet fed back by accessing the first URL;
the second data packet extraction module is used for extracting and obtaining a task ID from the second data packet;
the second URL generation module is used for splicing the current service IP, the application ID and the task ID to obtain a second URL;
the third data packet acquisition module is used for acquiring a third data packet fed back by accessing the second URL;
and the third data packet extraction module is used for extracting and obtaining performance test monitoring information from the third data packet.
9. A performance test monitoring apparatus, comprising:
a memory for storing a computer program;
a processor for executing the computer program to implement the steps of the performance test monitoring method according to any one of claims 1 to 7.
10. A computer readable storage medium, characterized in that the computer readable storage medium has stored therein a computer program which, when executed by a processor, is adapted to carry out the steps of the performance test monitoring method according to any one of claims 1 to 7.
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