CN108376112B - Pressure testing method, device and readable medium - Google Patents
Pressure testing method, device and readable medium Download PDFInfo
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Abstract
The application discloses a pressure testing method, a pressure testing device and a readable medium, and relates to the technical field of communication. The method comprises the following steps: determining a pressure measurement server; directing the first flow to a pressure measurement server; acquiring performance data of the pressure measurement server from a unified monitoring platform, wherein the unified monitoring platform is used for collecting the performance data of at least one application server, and the at least one application server comprises the pressure measurement server; and when the performance data reaches the bottleneck value, acquiring a pressure test result according to the performance data. The unified monitoring platform is arranged to acquire the performance data of the application server in real time, and the test server can directly acquire the performance data of the application server from the unified monitoring platform, so that the complicated steps that the test server needs to send performance data acquisition requests to different application servers and then receives the performance data from different application servers when testing different application servers are avoided, and only the unified monitoring platform needs to acquire the corresponding performance data.
Description
Technical Field
The embodiment of the application relates to the technical field of communication, in particular to a pressure testing method, a pressure testing device and a readable medium.
Background
The stress test is a method for testing the maximum load capacity of a server by pressurizing the server, and generally requires obtaining a stress test result of the server through data such as a Central Processing Unit (CPU), a memory, a disk, a Query Per Second (QPS) of the server, and the like.
Generally, in a complete tested system, a plurality of different functions are included, each function corresponds to one or a group of servers, and during stress testing, stress testing needs to be performed on the server corresponding to each function. In the related art, a pressure test method is provided, in which when a pressure test is performed, traffic is directed to servers to be tested, and a performance data acquisition request is sent to each server to be tested, so as to acquire performance data related to performance from the server to be tested, and a pressure test result of the server to be tested is obtained according to the performance data.
However, because the system includes a plurality of different functions, a plurality of servers to be tested are required during testing, and therefore, performance data related to performance needs to be respectively obtained from each server to be tested, that is, a performance data obtaining request needs to be sent to each server to be tested, and after the performance data is obtained, a pressure test result of each server to be tested is obtained according to the performance data, which results in a tedious process of pressure testing.
Disclosure of Invention
The embodiment of the application provides a pressure testing method, a pressure testing device and a readable medium, and can solve the problem that the pressure testing process is complicated. The technical scheme is as follows:
in one aspect, a pressure testing method is provided, the method comprising:
determining a pressure measurement server, wherein the pressure measurement server is an application server to be subjected to pressure test;
directing a first flow to the pressure measurement server;
acquiring performance data of the pressure measurement server from a unified monitoring platform, wherein the unified monitoring platform is used for collecting the performance data of at least one application server, and the at least one application server comprises the pressure measurement server;
and when the performance data reaches a bottleneck value, acquiring a pressure test result according to the performance data.
In another aspect, a pressure testing apparatus is provided, the apparatus comprising:
the device comprises a determining module, a judging module and a judging module, wherein the determining module is used for determining a pressure measuring server which is an application server to be subjected to pressure test;
the guiding module is used for guiding the first flow to the pressure measurement server;
the system comprises an acquisition module, a monitoring module and a control module, wherein the acquisition module is used for acquiring performance data of the pressure measurement server from a unified monitoring platform, the unified monitoring platform is used for collecting the performance data of at least one application server, and the at least one application server comprises the pressure measurement server;
the obtaining module is further configured to obtain a pressure test result according to the performance data when the performance data reaches a bottleneck value.
In another aspect, a server is provided, which includes a processor and a memory, where at least one instruction, at least one program, a set of codes, or a set of instructions is stored in the memory, and the at least one instruction, the at least one program, the set of codes, or the set of instructions is loaded and executed by the processor to implement the stress testing method according to any one of the first aspect and the optional embodiments of the present application.
In another aspect, there is provided a computer readable storage medium having stored therein at least one instruction, at least one program, set of codes or set of instructions, which is loaded and executed by the processor to implement the stress testing method according to any one of the first aspect and its optional embodiments of the present application.
In another aspect, a computer program product is provided, which when run on a computer causes the computer to perform a stress testing method as described in any of the first aspect and its optional embodiments of the present application above.
The beneficial effects brought by the technical scheme provided by the embodiment of the application at least comprise:
the performance data of the application server can be directly obtained from the unified monitoring platform by setting the unified monitoring platform to obtain the performance data of the application server in real time, so that the complicated steps that the test server needs to send performance data obtaining requests to different application servers and then receives the performance data from different application servers when testing different application servers are avoided, and the corresponding performance data only needs to be obtained from the unified monitoring platform in a unified manner.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
FIG. 1 is a schematic diagram of an implementation environment of a pressure testing method provided by an exemplary embodiment of the present application;
FIG. 2 is a flow chart of a pressure testing method provided by an exemplary embodiment of the present application;
FIG. 3 is a flow chart of a pressure testing method provided by another exemplary embodiment of the present application;
FIG. 4 is a flow chart of a pressure testing method provided by another exemplary embodiment of the present application;
FIG. 5 is a flow chart of a pressure testing method provided by another exemplary embodiment of the present application;
FIG. 6 is a report diagram of stress test results provided by an exemplary embodiment of the present application;
FIG. 7 is a block diagram of a pressure testing device provided in an exemplary embodiment of the present application;
fig. 8 is a block diagram of a server according to an exemplary embodiment of the present application.
Detailed Description
To make the objects, technical solutions and advantages of the present application more clear, embodiments of the present application will be described in further detail below with reference to the accompanying drawings.
First, terms referred to in the embodiments of the present application are explained:
and (3) pressure testing: stress testing refers to a method of testing the maximum load capacity of an application server under test.
Transaction Throughput (TPS): the transaction throughput refers to the number of transactions that the system can process in a unit time, which is optionally 1 second.
Modulation into power: the modular call power refers to a success rate of inter-module call in a unit time in the system, optionally, one application server group may be used as one module, and different application server groups may be called with each other according to functions of the application server group, specifically, the application server group is specifically described in the following description corresponding to fig. 1. Alternatively, the unit time is 1 second.
Average treatment time: the average processing time refers to the average elapsed time for processing the transaction. Such as: processing transaction 1 takes 3 milliseconds and processing transaction 2 takes 5 milliseconds, then the average processing time to process transactions 1 and 2 is 4 milliseconds.
Queue latency: queue latency refers to the average latency of a transaction in the queue before the transaction is processed. Such as: transaction 1 waits 3 milliseconds in the queue before transaction 1 is processed and transaction 2 waits 5 milliseconds in the queue before transaction 2 is processed, resulting in a queue latency of 4 milliseconds for transactions 1 and 2.
Disk read-write speed: the disk read-write speed refers to the amount of data that can be read and written by the disk in a unit time, which is optionally 1 second.
With reference to the above terms in the embodiments of the present application, an implementation environment of the pressure testing method provided in the embodiments of the present application is described, fig. 1 is a schematic diagram of an implementation environment of the pressure testing method provided in an exemplary embodiment of the present application, as shown in fig. 1, the implementation environment includes: a test server 110, a unified monitoring platform 120, a communication network 130 and an application server;
the test server 110 is configured to test a maximum load capacity of the application server, and optionally, the test server 110 is further configured to obtain performance data of the application server from the unified monitoring platform 120 and calculate a performance value of the application server.
Optionally, the test server 110 and the unified monitoring platform 120 are connected through a communication network 130, and the communication network 130 may be a wired network or a wireless network.
Optionally, the unified monitoring platform 120 may obtain the performance data of the application server in real time, also obtain the changed performance data of the application server when the performance data of the application server changes, and also obtain the performance data from the application server at preset intervals.
The application server is used for providing corresponding services for the user, such as: when a user browses the A webpage through a browser on a terminal, the A webpage is provided for the user to browse through a server corresponding to the A webpage. Optionally, the application server may include an application server 141, an application server 142, an application server 143, an application server 144, an application server 145, and an application server 146, which is illustrated as including 6 application servers as an example, in an actual operation, the number of the application servers may be smaller or greater, where several servers may form an application server group, and the application servers in the application server group are used to provide the same service for the user. As shown in fig. 1, the application server 141, the application server 142, the application server 143, and the application server 144 in the application server form an application server group 1401. Alternatively, the test server 110 may determine, as the pressure test server, an application server to be subjected to the pressure test among the application servers.
In conjunction with the schematic implementation environment of the pressure testing method shown in fig. 1, fig. 2 is a flowchart of a pressure testing method provided in an exemplary embodiment of the present application, taking the application of the pressure testing method in the testing server 110 shown in fig. 1 as an example, as shown in fig. 2, the pressure testing method includes:
The pressure test server is an application server to be subjected to pressure test.
Optionally, before determining the pressure test server, the condition of triggering the pressure test at least includes at least one of the following conditions:
in the first case, the application server is periodically subjected to pressure test;
optionally, the pressure measurement period cannot be too long, such as: the stress test is performed every two days, or every week.
In the second case, when it is detected that an update package is released, the application server corresponding to the update package is tested.
For the above two cases, the application server group needs to be determined first, such as: the method includes the steps of determining an application server group to be tested according to a preset pressure test period, determining the application server group according to an update package, and then determining a pressure test server in the application server group, wherein generally, only one application server or a plurality of application servers in the application server group are subjected to pressure test, and the pressure test of one application server in the application server group is taken as an example for description, and the mode of determining the pressure test server in the application server group includes at least one of the following modes:
1. when the application servers in the application server group are arranged in sequence, determining the first application server which is not subjected to the pressure test as a pressure test server;
illustratively, the application server group a includes an application server a, an application server b and an application server c, and the application server a, the application server b and the application server c are arranged in sequence, and if the application server a and the application server b have been subjected to a pressure test, the application server c is a first application server that has not been subjected to the pressure test; and if the application server a, the application server b and the application server c are subjected to the pressure test in sequence, continuing to use the application server a as the first application server which is not subjected to the pressure test.
2. Randomly extracting an application server from the application server group as a pressure measurement server;
Optionally, the first traffic may be an existing network traffic, where the existing network traffic refers to traffic of a real user in a network and includes an uplink data traffic and a downlink data traffic, where the uplink data traffic includes traffic generated by data such as a request of the user, and the downlink data traffic includes traffic generated by operations such as data transmission by the user.
The unified monitoring platform is configured to collect performance data of at least one application server, and optionally, the unified monitoring platform collects performance data of all application servers in the application servers 140 shown in fig. 1.
Optionally, the unified monitoring platform may obtain the performance data of the application server in real time, may also obtain the changed performance data of the application server when the performance data of the application server changes, and may also obtain the performance data from the application server at preset intervals.
And step 204, when the performance data reaches the bottleneck value, acquiring a pressure test result according to the performance data.
Optionally, the performance data may include a plurality of performance data, such as: the performance data includes values of Central Processing Unit (CPU) utilization, system throughput, modulation power, average Processing time, queue waiting time, and disk read-write speed, and when the performance data reaches a bottleneck value, the performance data may be used to refer to a time when one performance data reaches the bottleneck value, and may also be used to refer to a time when a plurality of performance data reaches the bottleneck value, such as: and when the CPU utilization rate reaches a bottleneck value, acquiring a pressure test result.
Optionally, the bottleneck value refers to a maximum value that the performance data value can reach, such as: when the CPU utilization rate under the first flow rate is 80%, and after the first flow rate is increased to obtain the second flow rate, the CPU utilization rate under the second flow rate is still 80%, and then 80% is the bottleneck value of the CPU utilization rate.
Optionally, the stress test results include, but are not limited to: the performance value of the pressure measurement server and the maximum load capacity of the pressure measurement server.
In summary, in the pressure testing method provided in this embodiment, the unified monitoring platform is configured to obtain the performance data of the application server in real time, and the testing server can directly obtain the performance data of the application server from the unified monitoring platform, which avoids the tedious step that the testing server needs to send a performance data obtaining request to different application servers and then receives the performance data from different application servers when testing different application servers, and only needs to uniformly obtain the corresponding performance data from the unified monitoring platform.
In an alternative embodiment, when the performance data does not reach the bottleneck value, the second traffic is directed to the pressure measurement server according to the first traffic and the performance data of the pressure measurement server. Fig. 3 is a flowchart of a stress testing method according to another exemplary embodiment of the present application, for example, the stress testing method is applied to the testing server 110 shown in fig. 1, and as shown in fig. 3, the stress testing method includes:
The pressure test server is an application server to be subjected to pressure test.
Optionally, the manner of determining the pressure measurement server includes at least one of the following manners:
firstly, when application servers in an application server group are arranged in sequence, determining a first application server which is not subjected to pressure test as a pressure test server;
secondly, randomly extracting one application server from the application server group as a pressure measurement server. Optionally, the application server group is configured to provide a service, and the update package is configured to modify code and/or data in the application server group, that is, update the service provided by the application server group.
Optionally, groups of application servers are used to provide services to users, and application servers in one group of application servers are used to provide the same services.
Optionally, the first traffic may be an existing network traffic, where the existing network traffic refers to traffic of a real user in a network and includes an uplink data traffic and a downlink data traffic, where the uplink data traffic includes traffic generated by data such as a request of the user, and the downlink data traffic includes traffic generated by operations such as data transmission by the user.
Optionally, the manner of directing the first traffic to the pressure measurement server includes, but is not limited to: due to the load balancing technology, the current network traffic is generally evenly directed to each application server in the application server group, and the first traffic is directed to the pressure measurement server by setting the traffic weight of the pressure measurement server, where the traffic weight refers to the traffic size of the pressure measurement server load.
Wherein, the mode of setting the flow weight of the pressure measurement server includes again:
firstly, setting the number of application servers receiving the current network flow, and keeping load balance, thereby setting the flow weight of a pressure measurement server;
illustratively, the flow weight of the pressure measurement server is set by setting the number of the application servers, one application server group includes 10 application servers, the flow weight of each application server is 10%, after the application server a in the application server group is determined to be the pressure measurement server, the flow weight of the application server a is adjusted from 10% to 25% by setting the number of the application servers receiving the current network flow to 4 in the application server group.
Secondly, directly configuring the traffic weight of the pressure measurement server, such as: the traffic weight of the pressure measurement server is configured from 10% to 25%.
Optionally, the initial traffic weight of the pressure measurement server may be preset, or may be a traffic weight in a normal operating state, and the application does not limit the initial traffic weight of the pressure measurement server.
And step 303, acquiring performance data of the pressure measurement server from the unified monitoring platform.
The unified monitoring platform is configured to collect performance data of at least one application server, and optionally, the unified monitoring platform collects performance data of all application servers in the application servers 140 shown in fig. 1.
Optionally, the unified monitoring platform may obtain the performance data of the application server in real time, may also obtain the changed performance data of the application server when the performance data of the application server changes, and may also obtain the performance data from the application server at preset intervals.
Optionally, the performance data may include a plurality of performance data, such as: the performance data includes values of Central Processing Unit (CPU) utilization, system throughput, modulation power, average Processing time, queue waiting time, and disk read-write speed, and when the performance data reaches a bottleneck value, the performance data may be used to refer to a time when one performance data reaches the bottleneck value, and may also be used to refer to a time when a plurality of performance data reaches the bottleneck value, such as: and when the CPU utilization rate reaches a bottleneck value, acquiring a pressure test result.
Optionally, the bottleneck value refers to a maximum value that the performance data value can reach, such as: when the CPU utilization rate under the first flow rate is 80%, and after the first flow rate is increased to obtain the second flow rate, the CPU utilization rate under the second flow rate is still 80%, and then 80% is the bottleneck value of the CPU utilization rate.
Optionally, the above-mentioned increasing the first traffic may refer to increasing a traffic weight of the pressure measurement server.
And 305, when the performance data reaches the bottleneck value, acquiring a pressure test result according to the performance data.
Optionally, the stress test results include, but are not limited to: the performance value of the pressure measurement server and the maximum load capacity of the pressure measurement server.
Optionally, when the performance data reaches a bottleneck value, the traffic weight of the pressure measurement server is restored to the initial traffic weight.
And step 306, when the performance data does not reach the bottleneck value, adjusting the flow of the first flow according to the first flow and the performance data of the pressure measurement server.
Optionally, after the flow rate of the first flow rate is adjusted, according to the adjusted first flow rate, the step of directing the first flow rate to the pressure measurement server and the subsequent testing steps, that is, step 302 and the subsequent steps, are executed.
Optionally, when the flow rate of the first flow rate is adjusted according to the first flow rate and the performance data of the pressure measurement server, firstly, the increase of the first flow rate may be calculated according to the performance data of the pressure measurement server, and after the increase of the first flow rate is calculated, at least one of the following conditions is included:
firstly, when the amplification of the first flow reaches a preset amplification value, adjusting the flow of the first flow according to the amplification of the first flow and the flow of the first flow;
secondly, when the increase of the first flow is smaller than the preset increase value, the flow of the first flow is adjusted according to the preset increase value and the flow of the first flow.
Schematically, performance data is taken as an example to explain the CPU utilization, the maximum utilization of the CPU is prestored in the test server, and the increase of the first flow is calculated according to the CPU utilization in the performance data and the maximum utilization of the CPU, and the calculation formula is as follows:
where m is used to denote the amplification of the first flow, CPUmaxFor maximum utilization of the CPU, the CPUcurrIs the CPU usage in the performance data.
Taking the preset increasing value as 10% as an example, when m is greater than or equal to 10%, the calculation formula of the adjusted first flow rate is as follows:
wherein, L5nextFor the adjusted flow rate of the first flow rate, L5currThe flow rate is the flow rate of the first flow rate before adjustment;
when m is less than 10%, the calculation formula of the adjusted first flow rate is as follows:
L5next＝L5curr*110％
it should be noted that, in an alternative embodiment, the adding, adjusting, and recovering of the first traffic may be adding, adjusting, and recovering of a traffic weight of the pressure measurement server.
In summary, in the pressure testing method provided in this embodiment, the unified monitoring platform is configured to obtain the performance data of the application server in real time, and the testing server can directly obtain the performance data of the application server from the unified monitoring platform, which avoids the tedious step that the testing server needs to send a performance data obtaining request to different application servers and then receives the performance data from different application servers when testing different application servers, and only needs to uniformly obtain the corresponding performance data from the unified monitoring platform.
The pressure testing method provided by this embodiment adjusts the flow weight of the first flow, that is, adjusts the flow weight of the pressure testing server, gradually adjusts and increases the flow weight of the pressure testing server, and increases the flow size of the first flow received by the pressure testing server, thereby avoiding that accurate performance data cannot be determined when the performance data before and after the increase of the first flow is excessively increased reaches a bottleneck value, that is, the pressure testing method provided by this embodiment can more accurately obtain the bottleneck value that the performance data of the pressure testing server can reach, and ensure normal service on the line, and consider the sufficiency and accuracy of data acquisition, and consider the problem that the pressure testing period cannot be too long.
In an alternative embodiment, the pressure test result includes a performance value of the pressure test server, and fig. 4 is a flowchart of a pressure test method provided in an exemplary embodiment of the present application, for example, the pressure test method is applied to the test server 110 shown in fig. 1, and as shown in fig. 4, the pressure test method includes:
The pressure test server is an application server to be subjected to pressure test.
Optionally, the manner of determining the pressure measurement server includes at least one of the following manners:
firstly, when application servers in an application server group are arranged in sequence, determining a first application server which is not subjected to pressure test as a pressure test server;
secondly, randomly extracting one application server from the application server group as a pressure measurement server.
Optionally, the application server group is configured to provide a service, and the update package is configured to modify code and/or data in the application server group, that is, update the service provided by the application server group. Optionally, groups of application servers are used to provide services to users, and application servers in one group of application servers are used to provide the same services.
Optionally, the first traffic may be an existing network traffic, where the existing network traffic refers to traffic of a real user in a network and includes an uplink data traffic and a downlink data traffic, where the uplink data traffic includes traffic generated by data such as a request of the user, and the downlink data traffic includes traffic generated by operations such as data transmission by the user.
Optionally, the manner of directing the first traffic to the pressure measurement server includes, but is not limited to: due to the load balancing technology, the current network traffic is generally evenly directed to each application server in the application server group, and the first traffic is directed to the pressure measurement server by setting the traffic weight of the pressure measurement server, where the traffic weight refers to the traffic size of the pressure measurement server load.
Wherein, the mode of setting the flow weight of the pressure measurement server includes again:
firstly, setting the number of application servers receiving the current network flow, and keeping load balance, thereby setting the flow weight of a pressure measurement server;
illustratively, the flow weight of the pressure measurement server is set by setting the number of the application servers, one application server group includes 10 application servers, the flow weight of each application server is 10%, after the application server a in the application server group is determined to be the pressure measurement server, the flow weight of the application server a is adjusted from 10% to 25% by setting the number of the application servers receiving the current network flow to 4 in the application server group.
Secondly, directly configuring the traffic weight of the pressure measurement server, such as: the traffic weight of the pressure measurement server is configured from 10% to 25%.
Optionally, the initial traffic weight of the pressure measurement server may be preset, or may be a traffic weight in a normal operating state, and the application does not limit the initial traffic weight of the pressure measurement server.
The unified monitoring platform is configured to collect performance data of at least one application server, and optionally, the unified monitoring platform collects performance data of all application servers in the application servers 140 shown in fig. 1.
Optionally, the unified monitoring platform may obtain the performance data of the application server in real time, may also obtain the changed performance data of the application server when the performance data of the application server changes, and may also obtain the performance data from the application server at preset intervals.
Optionally, the performance data may include a plurality of performance data, such as: the performance data includes values of Central Processing Unit (CPU) utilization, system throughput, modulation power, average Processing time, queue waiting time, and disk read-write speed, and when the performance data reaches a bottleneck value, the performance data may be used to refer to a time when any one of the performance data reaches the bottleneck value, and may also be used to refer to a time when a plurality of performance data reaches the bottleneck value, such as: and when the CPU utilization rate reaches a bottleneck value, acquiring a pressure test result.
Optionally, the bottleneck value refers to a maximum value that the performance data value can reach, such as: when the CPU utilization rate under the first flow rate is 80%, and after the first flow rate is increased to obtain the second flow rate, the CPU utilization rate under the second flow rate is still 80%, and then 80% is the bottleneck value of the CPU utilization rate.
Optionally, the above-mentioned increasing the first traffic may refer to increasing a traffic weight of the pressure measurement server.
And 405, when the performance data reaches a bottleneck value, calculating a performance value of the pressure measurement server according to the performance data.
Optionally, the performance value is taken as a pressure test result.
Optionally, the performance data includes, but is not limited to: the system throughput, the modulo adjustment power, the average processing time, the queue waiting time and the disk read-write speed are calculated, and the performance value of the pressure measurement server can be calculated according to the performance data in the following way: multiplying the system throughput by the upper module to obtain a first product, multiplying the average processing time by the queue waiting time and the disk read-write speed to obtain a second product, and determining the ratio of the first product to the second product as a performance value, specifically referring to the following formula:
in the performance data, taking the case that the CPU reaches the bottleneck value as an example, when the CPU reaches the bottleneck value, the larger the TPS and modulo power value is, the better the average processing time, queue waiting time, and disk read-write speed value is, the smaller the average processing time, queue waiting time, and disk read-write speed value is, the better the performance value is, combining the above formula, the performance value is proportional to the TPS value and modulo power value, and the performance value is inversely proportional to the average processing time, queue waiting time, and disk read-write speed value. Optionally, when the current network traffic is insufficient and the performance data cannot reach the bottleneck value, the conversion may be performed according to the ratio of the performance data, such as: the preset bottleneck value of the CPU is 80%, and due to insufficient flow, the actual bottleneck value reached by the CPU is 40%, and is only half of the preset bottleneck value, and when calculating the performance value, the values of the system throughput, the modulo power, the average processing time, the queue waiting time, and the disk read-write speed are calculated by 2 times.
And 406, when the performance data does not reach the bottleneck value, adjusting the flow of the first flow according to the first flow and the performance data of the pressure measurement server.
Optionally, after the flow rate of the first flow rate is adjusted, according to the adjusted first flow rate, the step of directing the first flow rate to the pressure measurement server and the subsequent test steps, that is, step 402 and the subsequent steps, are executed.
In summary, in the pressure testing method provided in this embodiment, the unified monitoring platform is configured to obtain the performance data of the application server in real time, and the testing server can directly obtain the performance data of the application server from the unified monitoring platform, which avoids the tedious step that the testing server needs to send a performance data obtaining request to different application servers and then receives the performance data from different application servers when testing different application servers, and only needs to uniformly obtain the corresponding performance data from the unified monitoring platform.
According to the pressure testing method provided by the embodiment, the performance value is calculated through the formula, and the performance value of the pressure testing server can be more accurately obtained according to the positive-negative ratio relation among the performance data.
In an optional embodiment, after obtaining the pressure test result, the test server may obtain a current pressure test result report, and compare the historical pressure test result with the current pressure test result to obtain analysis data, schematically, please refer to fig. 5, where fig. 5 is a flowchart of a pressure test method provided in an exemplary embodiment of the present application, and as shown in fig. 5, the pressure test method includes:
step 501, the test server periodically scans tasks.
Optionally, the test server periodically scans the packet publishing task. The package issuing task is used for referring to issuing of the update package, after the update package is issued, the service provided by the application server is updated, and the update may affect the performance of the application server, so that after the update package is issued, the application server in the application server group corresponding to the update package needs to be timely subjected to pressure test.
Step 502, package publishing.
Optionally, the package issuing may be an update package issued by an application server, or an update package issued by another server, which is not limited in this embodiment of the application.
Optionally, when the test server detects that the package is released, the test server may directly perform a stress test on the application server corresponding to the update package, or may send an alarm mail to a preset contact person to prompt that the update package is released and the stress test needs to be performed.
Step 503, the test Server obtains the application Server Identity (SID) according to the Server and the IP.
Optionally, after the package is released, the test server obtains the application server identifier corresponding to the released update package according to the service name and the IP of the update package.
In step 504, the user manipulates the page.
When a user operates a page, the current network traffic, i.e., traffic directed to the pressure measurement server, is generated. The current network flow refers to the flow of a real user in a network, and includes an uplink data flow and a downlink data flow, wherein the uplink data flow includes the flow generated by data such as a user request, and the downlink data flow includes the flow generated by operations such as data transmission of the user.
Step 505, the test server directs the current network traffic to the pressure test server.
Alternatively, live traffic may be directed to the pressure measurement server by modifying its traffic weight.
Step 506, detecting whether the performance data of the pressure measurement server reaches a bottleneck value.
The test server obtains the performance data of the pressure test server from the unified monitoring platform and judges whether the performance data reaches a bottleneck value. Optionally, the test server stores the performance data acquired from the unified monitoring platform each time.
And 507, setting the loads of the pressure measurement server and other servers as load balance when the performance data reaches a bottleneck value.
That is, the traffic weight of the pressure measurement server is equal to that of other servers in the system under test where the pressure measurement server is located.
And step 508, uploading the performance data to the unified monitoring platform by the pressure measurement server.
Optionally, the pressure measurement server may send the performance data to the unified monitoring platform in a real-time synchronous manner, or may send the performance data to the unified monitoring platform at preset intervals.
Step 509, the test server obtains performance data from the unified monitoring platform.
Optionally, the test server obtains the performance data from the unified monitoring platform, and then obtains a pressure test result of the pressure test.
Step 510, the test server obtains a historical pressure test result.
Alternatively, the historical pressure measurement result may be stored in the test server, or may be stored in another server.
Step 511, the test server outputs a page report and analysis data according to the pressure test result.
The page report includes the performance data acquired each time in the pressure test.
Illustratively, the page report is shown in the following table one:
watch 1
| Time | IP | Traffic weight | TPS | Time of treatment | Waiting time | CPU |
| 53 | 100.96.32.41 | 16％ | 96 | 50 | 0 | 10％ |
| 54 | 100.96.32.41 | 58％ | 101 | 0 | 0 | 13％ |
| 55 | 100.96.32.41 | 58％ | 338 | 52 | 0 | 20％ |
| 56 | 100.96.32.41 | 58％ | 338 | 54 | 0 | 34％ |
| 57 | 100.96.32.41 | 66％ | 348 | 55 | 0 | 36％ |
| 58 | 100.96.32.41 | 70％ | 409 | 53 | 0 | 36％ |
According to the data in the first table, when the weight reaches 70%, the CPU utilization reaches a bottleneck value of 36%.
Optionally, the test server may further generate a broken line diagram report according to the performance data, please refer to fig. 6, where fig. 6 is a broken line diagram produced according to the table i above, taking the performance data as the CPU utilization, and taking the TPS as an example. Optionally, a line graph of the last pressure measurement is also included in fig. 6.
And step 512, the test server outputs the current pressure test result according to the pressure test result.
Optionally, the pressure measurement result includes, but is not limited to: performance data and performance values.
Step 513, the test server outputs a periodic scanning pressure test result summary according to the pressure test result and the historical pressure test result.
Optionally, when the performance value of the pressure measurement server is decreased compared with the performance value in the historical pressure test result, that is, it is described that the issuance of the update package has a certain influence on the pressure measurement server and needs to be adjusted, the test server labels the pressure measurement server with decreased performance in the output periodic scanning pressure measurement result summary.
In summary, in the pressure testing method provided in this embodiment, the unified monitoring platform is configured to obtain the performance data of the application server in real time, and the testing server can directly obtain the performance data of the application server from the unified monitoring platform, which avoids the tedious step that the testing server needs to send a performance data obtaining request to different application servers and then receives the performance data from different application servers when testing different application servers, and only needs to uniformly obtain the corresponding performance data from the unified monitoring platform.
According to the pressure testing method provided by the embodiment, the report output is performed on the pressure testing result, so that the performance data of the pressure testing server performing the pressure testing at this time is more visually reflected, and when the performance data display performance is lower, the pressure testing server can be adjusted in time.
The pressure test method provided by this embodiment can more intuitively reflect the trend of the performance of the pressure test server by comparing the pressure test result of this time with the historical pressure test result, for example: the performance of the pressure measurement server is optimized or degraded, so that better monitoring management can be carried out on the pressure measurement server.
Fig. 7 is a block diagram of a pressure testing apparatus according to an exemplary embodiment of the present application, and as shown in fig. 7, the pressure testing apparatus includes: a determination module 71, a guidance module 72 and an acquisition module 73;
a determining module 71, configured to determine a pressure measurement server, where the pressure measurement server is an application server to be subjected to a pressure test;
a direction module 72 for directing the first flow to the pressure measurement server;
an obtaining module 73, configured to obtain performance data of the pressure measurement server from a unified monitoring platform, where the unified monitoring platform is configured to collect performance data of at least one application server, and the at least one application server includes the pressure measurement server;
the obtaining module 73 is further configured to obtain a pressure test result according to the performance data when the performance data reaches a bottleneck value.
In an optional embodiment, the determining module 71 is further configured to determine, when it is detected that an update package is published, an application server group corresponding to the update package, where the application server group includes at least one application server, and the update package is used to modify code and/or data in the application server group;
the determining module 71 is further configured to determine the pressure measurement server from the application server group.
In an optional embodiment, the determining module 71 is further configured to determine, when the application servers in the application server group are in sequence, a first application server not performing the pressure test in the application server group as the pressure test server;
the determining module 71 is further configured to randomly extract an application server from the application server group as the pressure measurement server.
In an optional embodiment, the apparatus further comprises:
the adjusting module is used for adjusting the flow of the first flow according to the first flow and the performance data of the pressure measurement server when the performance data does not reach the bottleneck value;
the guiding module 72 is further configured to guide the first flow to the pressure measurement server and subsequent testing steps according to the adjusted first flow.
In an alternative embodiment, the adjustment module includes:
the first calculation unit is used for calculating the amplification of the first flow according to the performance data of the pressure measurement server;
the adjusting module is further used for adjusting the flow rate of the first flow rate according to the amplification of the first flow rate and the flow rate of the first flow rate when the amplification reaches a preset amplification value;
and the adjusting module is further used for adjusting the flow rate of the first flow rate according to the preset amplitude value and the flow rate of the first flow rate when the amplitude is smaller than the preset amplitude value.
In an alternative embodiment, the obtaining module 73 includes:
and the second calculating unit is used for calculating the performance value of the pressure testing server according to the performance data when the performance data reaches a bottleneck value, and taking the performance value as a pressure testing result.
In an alternative embodiment, the performance data includes: system throughput, modulo adjustment power, average processing time, queue waiting time, and disk read-write speed;
the second calculation unit is also used for multiplying the system throughput by the modular modulation power to obtain a first product; multiplying the average processing time by the queue waiting time and the disk read-write speed to obtain a second product; determining a ratio of the first product and the second product as the performance value.
In summary, in the pressure testing apparatus provided in this embodiment, the unified monitoring platform is arranged to obtain the performance data of the application server in real time, and the testing server can directly obtain the performance data of the application server from the unified monitoring platform, which avoids the tedious steps that the testing server needs to send a performance data obtaining request to different application servers when testing different application servers, and then receives the performance data from different application servers, and only needs to uniformly obtain the corresponding performance data from the unified monitoring platform.
The application also provides a server, which comprises a processor and a memory, wherein at least one instruction is stored in the memory, and the at least one instruction is loaded and executed by the processor to implement the stress testing method provided by the above method embodiments. Alternatively, the server may be a test server as shown in fig. 1. It should be noted that the server may be a server as provided in fig. 8 below.
Referring to fig. 8, a schematic structural diagram of a server according to an exemplary embodiment of the present application is shown. Specifically, the method comprises the following steps: the server 800 includes a Central Processing Unit (CPU)801, a system memory 804 including a Random Access Memory (RAM)802 and a Read Only Memory (ROM)803, and a system bus 805 connecting the system memory 804 and the central processing unit 801. The server 800 also includes a basic input/output system (I/O system) 806, which facilitates transfer of information between devices within the computer, and a mass storage device 807 for storing an operating system 813, application programs 814, and other program modules 815.
The basic input/output system 806 includes a display 808 for displaying information and an input device 809 such as a mouse, keyboard, etc. for user input of information. Wherein the display 808 and the input device 809 are connected to the central processing unit 801 through an input output controller 810 connected to the system bus 805. The basic input/output system 806 may also include an input/output controller 810 for receiving and processing input from a number of other devices, such as a keyboard, mouse, or electronic stylus. Similarly, input-output controller 810 also provides output to a display screen, a printer, or other type of output device.
The mass storage device 807 is connected to the central processing unit 801 through a mass storage controller (not shown) connected to the system bus 805. The mass storage device 807 and its associated computer-readable media provide non-volatile storage for the server 800. That is, the mass storage device 807 may include a computer-readable medium (not shown) such as a hard disk or CD-ROI drive.
Without loss of generality, the computer-readable media may comprise computer storage media and communication media. Computer storage media includes volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data. Computer storage media includes RAM, ROM, EPROM, EEPROM, flash memory or other solid state memory technology, CD-ROM, DVD, or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices. Of course, those skilled in the art will appreciate that the computer storage media is not limited to the foregoing. The system memory 804 and mass storage 807 described above may be collectively referred to as memory.
The memory stores one or more programs configured to be executed by the one or more central processing units 801, the one or more programs containing instructions for implementing the stress testing methods described above, the central processing unit 801 executing the one or more programs to implement the stress testing methods provided by the various method embodiments described above.
The server 800 may also operate as a remote computer connected to a network via a network, such as the internet, in accordance with various embodiments of the invention. That is, the server 800 may be connected to the network 812 through the network interface unit 811 coupled to the system bus 805, or may be connected to other types of networks or remote computer systems (not shown) using the network interface unit 811.
The memory also includes one or more programs, the one or more programs are stored in the memory, and the one or more programs include steps executed by the server for performing the pressure testing method provided by the embodiment of the invention.
An embodiment of the present application further provides a computer-readable storage medium, in which at least one instruction, at least one program, a set of codes, or a set of instructions is stored, and the at least one instruction, the at least one program, the set of codes, or the set of instructions is loaded and executed by the processor 810 to implement the stress testing method according to any one of fig. 1 to 5.
The present application also provides a computer program product, which when run on a computer causes the computer to perform the stress testing method provided by the above-mentioned method embodiments.
Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, which may be a computer readable storage medium contained in a memory of the above embodiments; or it may be a separate computer-readable storage medium not incorporated in the terminal. The computer readable storage medium has stored therein at least one instruction, at least one program, set of codes, or set of instructions that is loaded and executed by the processor to implement the stress testing method of any of fig. 1-5.
Optionally, the computer-readable storage medium may include: a Read Only Memory (ROM), a Random Access Memory (RAM), a Solid State Drive (SSD), or an optical disc. The Random Access Memory may include a resistive Random Access Memory (ReRAM) and a Dynamic Random Access Memory (DRAM). The above-mentioned serial numbers of the embodiments of the present application are merely for description and do not represent the merits of the embodiments.
It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by a program instructing relevant hardware, where the program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.
The above description is only exemplary of the present application and should not be taken as limiting the present application, as any modification, equivalent replacement, or improvement made within the spirit and principle of the present application should be included in the protection scope of the present application.
Claims (8)
1. A method of pressure testing, the method comprising:
determining a pressure measurement server, wherein the pressure measurement server is an application server to be subjected to pressure test;
directing a first flow to the pressure measurement server;
acquiring performance data of the pressure measurement server from a unified monitoring platform, wherein the unified monitoring platform is used for collecting the performance data of at least one application server, the at least one application server comprises the pressure measurement server, and the performance data comprises: system throughput, modulo adjustment power, average processing time, queue waiting time, and disk read-write speed;
when the performance data reaches a bottleneck value, multiplying the system throughput by the modulo adjusted power to obtain a first product;
multiplying the average processing time by the queue waiting time and the disk read-write speed to obtain a second product;
determining a ratio of the first product and the second product as a performance value;
and taking the performance value as a pressure test result.
2. The method of claim 1, wherein determining the pressure measurement server comprises:
when the fact that an update package is released is detected, determining an application server group corresponding to the update package, wherein the application server group comprises at least one application server, and the update package is used for modifying codes and/or data in the application server group;
determining the pressure measurement server from the application server group.
3. The method of claim 2, wherein the determining the pressure measurement server from the set of application servers comprises:
when the application servers in the application server group are arranged in sequence, determining a first application server which is not subjected to pressure test in the application server group as the pressure test server;
or the like, or, alternatively,
and randomly extracting one application server from the application server group as the pressure measurement server.
4. The method of claim 1, further comprising:
when the performance data does not reach the bottleneck value, adjusting the flow of the first flow according to the first flow and the performance data of the pressure measurement server;
and according to the adjusted first flow, guiding the first flow to the pressure measurement server and the subsequent testing steps.
5. The method of claim 4, wherein the adjusting the traffic volume of the first traffic volume according to the first traffic volume and the performance data of the pressure measurement server comprises:
calculating the amplification of the first flow according to the performance data of the pressure measurement server;
when the amplification reaches a preset amplification value, adjusting the flow of the first flow according to the amplification of the first flow and the flow of the first flow;
and when the amplification value is smaller than the preset amplification value, adjusting the flow of the first flow according to the preset amplification value and the flow of the first flow.
6. A pressure testing apparatus, the apparatus comprising:
the device comprises a determining module, a judging module and a judging module, wherein the determining module is used for determining a pressure measuring server which is an application server to be subjected to pressure test;
the guiding module is used for guiding the first flow to the pressure measurement server;
an obtaining module, configured to obtain performance data of the pressure measurement server from a unified monitoring platform, where the unified monitoring platform is configured to collect performance data of at least one application server, where the at least one application server includes the pressure measurement server, and the performance data includes: system throughput, modulo adjustment power, average processing time, queue waiting time, and disk read-write speed;
the obtaining module comprises a second calculating unit, and is used for multiplying the system throughput by the modular tuning power to obtain a first product when the performance data reaches a bottleneck value; multiplying the average processing time by the queue waiting time and the disk read-write speed to obtain a second product; determining a ratio of the first product and the second product as a performance value; and taking the performance value as a pressure test result.
7. A server, comprising a processor and a memory, wherein the memory has stored therein at least one instruction, at least one program, set of codes, or set of instructions, which is loaded and executed by the processor to implement the stress testing method of any of claims 1 to 5.
8. A computer readable storage medium having stored therein at least one instruction, at least one program, a set of codes, or a set of instructions, which is loaded and executed by a processor to implement the stress testing method of any of claims 1 to 5.
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| CN109800137A (en) * | 2018-12-06 | 2019-05-24 | 珠海西山居互动娱乐科技有限公司 | A kind of server performance test method and system |
| CN109828912A (en) * | 2018-12-26 | 2019-05-31 | 同盾控股有限公司 | A kind of software method for testing pressure and device |
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| CN110519789B (en) * | 2019-08-02 | 2023-11-28 | 京信网络系统股份有限公司 | Performance detection method, device, computer equipment and storage medium |
| CN110727564A (en) * | 2019-10-22 | 2020-01-24 | 上海游族信息技术有限公司 | Real-time monitoring method for test data of server performance pressure test |
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