CN112596994A - XHProf-based PHP program performance detection method and device - Google Patents
XHProf-based PHP program performance detection method and device Download PDFInfo
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- CN112596994A CN112596994A CN202011561657.7A CN202011561657A CN112596994A CN 112596994 A CN112596994 A CN 112596994A CN 202011561657 A CN202011561657 A CN 202011561657A CN 112596994 A CN112596994 A CN 112596994A
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- 238000001514 detection method Methods 0.000 title claims abstract description 20
- 238000000034 method Methods 0.000 claims abstract description 8
- 238000004590 computer program Methods 0.000 claims description 3
- 238000012360 testing method Methods 0.000 claims description 3
- 230000006870 function Effects 0.000 description 5
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/34—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment
- G06F11/3466—Performance evaluation by tracing or monitoring
- G06F11/3476—Data logging
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/3003—Monitoring arrangements specially adapted to the computing system or computing system component being monitored
- G06F11/302—Monitoring arrangements specially adapted to the computing system or computing system component being monitored where the computing system component is a software system
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/3065—Monitoring arrangements determined by the means or processing involved in reporting the monitored data
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/32—Monitoring with visual or acoustical indication of the functioning of the machine
- G06F11/323—Visualisation of programs or trace data
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/34—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment
- G06F11/3452—Performance evaluation by statistical analysis
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2201/00—Indexing scheme relating to error detection, to error correction, and to monitoring
- G06F2201/865—Monitoring of software
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Abstract
According to the method and the device for detecting the performance of the PHP program based on the XHProf, provided by the invention, the analysis result of the XHProf is written into the log file; outputting the log file to Prometous for storage; and creating a chart in Grafana, and performing performance detection of a PHP program on data stored in Prometous, so that time consumption and call quantity distribution statistics of function call can be visually checked conveniently, and system performance bottlenecks can be quickly positioned and found.
Description
Technical Field
The invention relates to the technical field of computers, in particular to a PHP program performance detection method and device based on XHProf.
Background
PHP (hypertext preprocessor) is a general open source scripting language. At present, PHP is mainly applicable to the field of Web development.
XHProf is a performance analysis tool under PHP, and the open source community has a corresponding GUI tool xhgui for displaying analysis results of XHProf, but xhgui lacks distribution statistics, cannot visually check function call time consumption and call volume distribution statistics, and cannot quickly locate and discover system performance bottlenecks.
Therefore, a method and a device for detecting the performance of the XHProf-based PHP program are needed, which can visually check the time consumption of function call and the distribution statistics of call volume, and quickly locate and find the performance bottleneck of the system.
Disclosure of Invention
Technical problem to be solved
In order to solve the above problems in the prior art, the XHProf-based PHP program performance detection method and apparatus provided by the present invention can visually check the function call time consumption and call volume distribution statistics, and quickly locate and find the system performance bottleneck.
(II) technical scheme
In order to achieve the purpose, the invention adopts a technical scheme that:
the method for detecting the performance of the PHP program based on the XHProf comprises the following steps:
s1, writing the analysis result of the XHProf into a log file;
s2, outputting the log file to Prometous for storage;
s3, creating a chart in Grafana, and carrying out performance detection of the PHP program on the data stored in Prometous.
In order to achieve the purpose, the invention adopts another technical scheme as follows:
apparatus for XHProf-based PHP program performance detection, comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing the program performs the steps of:
s1, writing the analysis result of the XHProf into a log file;
s2, outputting the log file to Prometous for storage;
s3, creating a chart in Grafana, and carrying out performance detection of the PHP program on the data stored in Prometous.
(III) advantageous effects
The invention has the beneficial effects that: writing analysis results of XHProf into a log file; outputting the log file to Prometous for storage; and creating a chart in Grafana, and performing performance detection of a PHP program on data stored in Prometous, so that time consumption and call quantity distribution statistics of function call can be visually checked conveniently, and system performance bottlenecks can be quickly positioned and found.
Drawings
FIG. 1 is a flowchart of a method for PHP program performance detection based on XHProf according to an embodiment of the present invention;
fig. 2 is a schematic diagram illustrating an overall structure of an apparatus for performance testing of a PHP program based on XHProf according to an embodiment of the present invention.
[ description of reference ]
1: means for XHProf-based PHP program performance detection;
2: a memory;
3: a processor.
Detailed Description
For the purpose of better explaining the present invention and to facilitate understanding, the present invention will be described in detail by way of specific embodiments with reference to the accompanying drawings.
Example one
Referring to fig. 1, a method for detecting PHP program performance based on XHProf includes the steps of:
s1, writing the analysis result of the XHProf into a log file;
the analysis result comprises the calling time, the calling time consumption and the calling times of the PHP program, and the specific format is 'time stamp called function calling time consumption calling times'.
S2, outputting the log file to Prometous for storage;
step S2 specifically includes:
and outputting the log file to Prometous through an Mtail for storage.
S3, creating a chart in Grafana, and carrying out performance detection of the PHP program on the data stored in Prometous.
Step S3 specifically includes:
graphs were created in Grafana and the PHP program performance tests were performed on the data stored in Prometheus by PromQL.
Example two
Referring to fig. 2, the apparatus 1 for XHProf-based PHP program performance detection includes a memory 2, a processor 3, and a computer program stored in the memory 2 and executable on the processor 3, wherein the processor 3 implements the steps of the first embodiment when executing the program.
The above description is only an embodiment of the present invention, and not intended to limit the scope of the present invention, and all equivalent changes made by using the contents of the present specification and the drawings, or applied directly or indirectly to the related technical fields, are included in the scope of the present invention.
Claims (8)
1. The method for detecting the performance of the PHP program based on the XHProf is characterized by comprising the following steps:
s1, writing the analysis result of the XHProf into a log file;
s2, outputting the log file to Prometous for storage;
s3, creating a chart in Grafana, and carrying out performance detection of the PHP program on the data stored in Prometous.
2. The XHProf-based PHP program performance testing method of claim 1, wherein the analysis result comprises a PHP program calling time, a PHP program calling time duration, and a PHP program calling number.
3. The method for XHProf-based PHP program performance detection as claimed in claim 1, wherein the step S2 is specifically:
and outputting the log file to Prometous through an Mtail for storage.
4. The method for XHProf-based PHP program performance detection as claimed in claim 1, wherein the step S3 is specifically:
graphs were created in Grafana and the PHP program performance tests were performed on the data stored in Prometheus by PromQL.
5. Apparatus for XHProf-based PHP program performance detection, comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing the program performs the steps of:
s1, writing the analysis result of the XHProf into a log file;
s2, outputting the log file to Prometous for storage;
s3, creating a chart in Grafana, and carrying out performance detection of the PHP program on the data stored in Prometous.
6. The apparatus for XHProf-based performance testing of a PHP program according to claim 5, wherein the analysis result comprises a call time, a call duration, and a call number of the PHP program.
7. The apparatus for XHProf-based PHP program performance detection as claimed in claim 5, wherein the step S2 is specifically to:
and outputting the log file to Prometous through an Mtail for storage.
8. The apparatus for XHProf-based PHP program performance detection as claimed in claim 5, wherein the step S3 is specifically to:
graphs were created in Grafana and the PHP program performance tests were performed on the data stored in Prometheus by PromQL.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011561657.7A CN112596994A (en) | 2020-12-25 | 2020-12-25 | XHProf-based PHP program performance detection method and device |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011561657.7A CN112596994A (en) | 2020-12-25 | 2020-12-25 | XHProf-based PHP program performance detection method and device |
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| Publication Number | Publication Date |
|---|---|
| CN112596994A true CN112596994A (en) | 2021-04-02 |
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011561657.7A Pending CN112596994A (en) | 2020-12-25 | 2020-12-25 | XHProf-based PHP program performance detection method and device |
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105022822A (en) * | 2015-07-17 | 2015-11-04 | 成都视达科信息技术有限公司 | PHP (Professional Hypertext Preprocessor) based log collection and storage method and system |
| US20160034326A1 (en) * | 2014-07-31 | 2016-02-04 | AppDynamics, Inc. | Monitoring a business transaction utilizing php engines |
| CN105335280A (en) * | 2014-07-16 | 2016-02-17 | 北京奇虎科技有限公司 | Program performance test method and device |
| CN111581060A (en) * | 2020-05-11 | 2020-08-25 | 金蝶软件（中国）有限公司 | Prometheus-based log alarm system and method and related equipment |
| CN111897727A (en) * | 2020-07-30 | 2020-11-06 | 平安科技（深圳）有限公司 | Software testing method and device, computer equipment and storage medium |
-
2020
- 2020-12-25 CN CN202011561657.7A patent/CN112596994A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105335280A (en) * | 2014-07-16 | 2016-02-17 | 北京奇虎科技有限公司 | Program performance test method and device |
| US20160034326A1 (en) * | 2014-07-31 | 2016-02-04 | AppDynamics, Inc. | Monitoring a business transaction utilizing php engines |
| CN105022822A (en) * | 2015-07-17 | 2015-11-04 | 成都视达科信息技术有限公司 | PHP (Professional Hypertext Preprocessor) based log collection and storage method and system |
| CN111581060A (en) * | 2020-05-11 | 2020-08-25 | 金蝶软件（中国）有限公司 | Prometheus-based log alarm system and method and related equipment |
| CN111897727A (en) * | 2020-07-30 | 2020-11-06 | 平安科技（深圳）有限公司 | Software testing method and device, computer equipment and storage medium |
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Application publication date: 20210402 |
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