CN113612816A - Data acquisition method, system, terminal and computer readable storage medium - Google Patents
Data acquisition method, system, terminal and computer readable storage medium Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 49
- 238000013515 script Methods 0.000 claims abstract description 29
- 238000012544 monitoring process Methods 0.000 claims abstract description 11
- 230000003252 repetitive effect Effects 0.000 claims description 20
- 230000005540 biological transmission Effects 0.000 claims description 3
- 238000013480 data collection Methods 0.000 claims description 3
- 230000008569 process Effects 0.000 description 9
- 238000005516 engineering process Methods 0.000 description 3
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/02—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/10—File systems; File servers
- G06F16/17—Details of further file system functions
- G06F16/1734—Details of monitoring file system events, e.g. by the use of hooks, filter drivers, logs
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/10—File systems; File servers
- G06F16/18—File system types
- G06F16/1805—Append-only file systems, e.g. using logs or journals to store data
- G06F16/1815—Journaling file systems
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/10—File systems; File servers
- G06F16/18—File system types
- G06F16/182—Distributed file systems
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/60—Scheduling or organising the servicing of application requests, e.g. requests for application data transmissions using the analysis and optimisation of the required network resources
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L69/00—Network arrangements, protocols or services independent of the application payload and not provided for in the other groups of this subclass
- H04L69/22—Parsing or analysis of headers
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Abstract
The invention discloses a data acquisition method, a system, a terminal and a computer readable storage medium, wherein the method comprises the following steps: monitoring a preset interface, and acquiring data into a memory in real time; acquiring data stored in the memory, and sending the data to a Web platform; and after receiving the data, the Web platform writes the data into a distributed log system in real time through a built-in script. The invention unifies the data acquisition mode, does not need to deploy other components, and ensures the low delay, the real-time performance and the stability of data acquisition.
Description
Technical Field
The present invention relates to the field of data acquisition technologies, and in particular, to a data acquisition method, a data acquisition system, a terminal, and a computer-readable storage medium.
Background
The Flume is an open source log system, is a distributed, reliable and high-availability mass log aggregation system, supports various data senders customized in the system, and is used for collecting data, and provides the capability of collecting data from data sources such as local file (boosting direct source), real-time logs (taildir, exec), REST message, Thift, Avro, Syslog, Kafka and the like; at the same time, FLUME provides the ability to simply process data and write to various data recipients (customizable).
Since the service (i.e. various transactions to be processed) pursues real-time performance, the data acquisition needs to satisfy the performances of low delay, real-time performance and stability to support the service; most of the prior art adopts a flume technology to collect data, but the flume technology collection is not real-time and is unstable, and is often abnormal due to GC (garbage collection) in a memory.
Accordingly, the prior art is yet to be improved and developed.
Disclosure of Invention
The invention mainly aims to provide a data acquisition method, a data acquisition system, a terminal and a computer readable storage medium, and aims to solve the problems that a data acquisition mode in the prior art has no real-time performance and is unstable.
In order to achieve the above object, the present invention provides a data acquisition method, including the steps of:
monitoring a preset interface, and acquiring data into a memory in real time;
acquiring data stored in the memory, and sending the data to a Web platform;
and after receiving the data, the Web platform writes the data into a distributed log system in real time through a built-in script.
Optionally, in the data acquisition method, the preset interface includes an http interface.
Optionally, the data acquisition method, wherein the data includes: structured log data and non-repetitive structured business data.
Optionally, the data acquisition method, wherein the acquiring the data stored in the memory and sending the data to the Web platform specifically includes:
acquiring the structured log data and the non-repetitive structured service data in the memory;
and sending the structured log data and the non-repetitive structured service data in the memory to an interface of the Web platform.
Optionally, the data acquisition method, wherein after receiving the data, the Web platform writes the data into a distributed log system in real time through a built-in script, and specifically includes:
the Web platform successfully receives the structured log data and the non-repetitive structured service data through an interface;
and the Web platform writes the structured log data and the non-repetitive structured service data into a distributed log system in real time through a built-in self-defined acquisition script.
Optionally, in the data collection method, the content of the collection script is body data for parsing an HTTP request.
Optionally, in the data acquisition method, the Web platform is a scalable Web platform implemented by Lua extension NGINX.
In addition, in order to achieve the above object, the present invention further provides a data acquisition system, wherein the data acquisition system includes:
the data acquisition module is used for monitoring the preset interface and acquiring data into the memory in real time;
the data transmission module is used for acquiring the data stored in the memory and sending the data to the Web platform;
and the data writing module is used for writing the data into the distributed log system in real time through the built-in script after the Web platform receives the data.
In addition, to achieve the above object, the present invention further provides a terminal, wherein the terminal includes: a memory, a processor and a data acquisition program stored on the memory and executable on the processor, the data acquisition program when executed by the processor implementing the steps of the data acquisition method as described above.
In addition, to achieve the above object, the present invention further provides a computer readable storage medium, wherein the computer readable storage medium stores a data acquisition program, and the data acquisition program realizes the steps of the data acquisition method as described above when executed by a processor.
The invention collects data into the memory in real time by monitoring the preset interface; acquiring data stored in the memory, and sending the data to a Web platform; and after receiving the data, the Web platform writes the data into a distributed log system in real time through a built-in script. The invention unifies the data acquisition mode, does not need to deploy other components, and ensures the low delay, the real-time performance and the stability of data acquisition.
Drawings
FIG. 1 is a flow chart of a preferred embodiment of a data acquisition method of the present invention;
FIG. 2 is a schematic diagram of a data acquisition process in a preferred embodiment of the data acquisition method of the present invention;
FIG. 3 is a schematic diagram of a preferred embodiment of the data acquisition system of the present invention;
fig. 4 is a schematic operating environment of a terminal according to a preferred embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer and clearer, the present invention is further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
As shown in fig. 1 and 2, the data acquisition method according to the preferred embodiment of the present invention includes the following steps:
and step S10, monitoring the preset interface, and acquiring data into the memory in real time.
Specifically, the preset interface includes an http interface, which is an API based on an http service and is an agreement for interaction between systems, and the so-called web service is actually an http interface, but is more standard and universal. The http interface mainly functions to better solve the interaction requirement between different systems (which may be different in function, development language, different in service provider, and the like, but are all based on http service), such as various interfaces of wechat public numbers, which can be called well whether developed by Java or PHP, whether developed by a company a or a company B, and whether to be used as a mall system or an enterprise promotion website.
The data acquisition mode of the invention supports the http (post and get) request mode, and acquires the data to the memory in real time by monitoring the http interface.
And step S20, acquiring the data stored in the memory, and sending the data to a Web platform.
Wherein the data comprises: structured log data and non-repetitive structured business data.
Specifically, the step S20 specifically includes: acquiring the structured log data (for example, as shown in fig. 2, the log data acquired from a television is the process event record data generated by a recording IT system) and the non-repetitive structured service data in the memory; and sending the structured log data and the non-repetitive structured service data in the memory to an interface of the Web platform (i.e. OpenResty).
OpenResty (also called ngx _ OpenResty) is a flexible Web platform based on NGINX, and provides many high-quality third-party modules, that is, OpenResty is a flexible Web platform implemented by expanding NGINX through Lua.
OpenResty is a powerful Web application server, Web developers can use the Lua scripting language to invoke various C and Lua modules supported by the Nginx, and more importantly, OpenResty can rapidly construct an ultrahigh-performance Web application system capable of concurrent connection response of more than 10K in performance.
And step S30, after the Web platform receives the data, writing the data into a distributed log system in real time through a built-in script.
Specifically, the step S30 specifically includes: the Web platform (OpenResty) successfully receives the structured log data and the non-repetitive structured service data through an interface; and the Web platform (OpenResty) writes the structured log data and the non-repetitive structured service data into a distributed log system (kafka) in real time through a built-in self-defined acquisition script.
Wherein, the Script (Script) is an executable file which is written according to a certain format by using a specific descriptive language; a scripting language, also known as a build-out language, or dynamic language, is a programming language used to control software applications, and scripts are usually stored in text (ascii) and are only interpreted or compiled when called. The content of the acquisition script is body data for analyzing the HTTP request.
Kafka is a distributed, partitioned, multi-replica, multi-subscriber, zookeeper-based coordinated distributed log system (which may also be considered an MQ system), commonly available for web/nginx logs, access logs, message services, and the like. The main application scenarios are: a log collection system and a messaging system.
That is to say, after OpenResty receives data, the data is directly written into kafka in real time through a built-in script, so that low latency, real-time performance and stability are guaranteed.
In the invention, data is submitted to an interface of OpenResty through an HTTP request, the OpenResty is internally provided with a self-defined acquisition script to directly write the data into kafka, and the script supports lua language and C language writing. The script content is body data for parsing the HTTP request and sending the body data to the configured kafka service.
Further, as shown in fig. 3, based on the above data acquisition method, the present invention also provides a data acquisition system, and the data acquisition system includes:
the data acquisition module 51 is used for monitoring a preset interface and acquiring data into a memory in real time;
the data transmission module 52 is configured to obtain data stored in the memory, and send the data to the Web platform;
and the data writing module 53 is configured to write the data into the distributed log system in real time through a built-in script after the Web platform receives the data.
The invention provides a high-performance data acquisition system based on OpenResty, unifies the data acquisition mode, does not need to deploy other components, and ensures low delay, real-time performance and stability. For example, the data part collects data of an order service end, the colleagues of the service end write codes to submit the order data to an OpenResty interface, and the data part collects and writes the order data into kafka in real time.
The key points of the invention are as follows: the scheme used previously is nginx + flux + kafka, and the current scheme is OpenResty + kafka, which has one less link in the process. The data acquisition scheme is unified, when the service acquisition is increased, only OpenResty needs to be directly deployed and comprises the uploaded self-defined acquisition script, no code needs to be written, the kafka can be acquired in real time, and the low delay, the real-time performance and the stability are guaranteed.
Further, as shown in fig. 4, based on the data acquisition method and system, the present invention also provides a terminal, which includes a processor 10, a memory 20, and a display 30. Fig. 4 shows only some of the components of the terminal, but it is to be understood that not all of the shown components are required to be implemented, and that more or fewer components may be implemented instead.
The memory 20 may in some embodiments be an internal storage unit of the terminal, such as a hard disk or a memory of the terminal. The memory 20 may also be an external storage device of the terminal in other embodiments, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like provided on the terminal. Further, the memory 20 may also include both an internal storage unit and an external storage device of the terminal. The memory 20 is used for storing application software installed in the terminal and various types of data, such as program codes of the installation terminal. The memory 20 may also be used to temporarily store data that has been output or is to be output. In one embodiment, the memory 20 stores a data acquisition program 40, and the data acquisition program 40 can be executed by the processor 10 to implement the data acquisition method of the present application.
The processor 10 may be a Central Processing Unit (CPU), a microprocessor or other data Processing chip in some embodiments, and is used for executing the program codes stored in the memory 20 or Processing data, such as executing the data acquisition method.
The display 30 may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch panel, or the like in some embodiments. The display 30 is used for displaying information at the terminal and for displaying a visual user interface. The components 10-30 of the terminal communicate with each other via a system bus.
In one embodiment, the following steps are implemented when the processor 10 executes the data acquisition program 40 in the memory 20:
monitoring a preset interface, and acquiring data into a memory in real time;
acquiring data stored in the memory, and sending the data to a Web platform;
and after receiving the data, the Web platform writes the data into a distributed log system in real time through a built-in script.
The preset interface comprises an http interface.
Wherein the data comprises: structured log data and non-repetitive structured business data.
The obtaining of the data stored in the memory and sending the data to the Web platform specifically includes:
acquiring the structured log data and the non-repetitive structured service data in the memory;
and sending the structured log data and the non-repetitive structured service data in the memory to an interface of the Web platform.
After receiving the data, the Web platform writes the data into a distributed log system in real time through a built-in script, and specifically includes:
the Web platform successfully receives the structured log data and the non-repetitive structured service data through an interface;
and the Web platform writes the structured log data and the non-repetitive structured service data into a distributed log system in real time through a built-in self-defined acquisition script.
The content of the acquisition script is body data for analyzing the HTTP request.
The Web platform is a telescopic Web platform realized by the Lua extension NGINX.
The present invention also provides a computer readable storage medium, wherein the computer readable storage medium stores a data acquisition program, and the data acquisition program realizes the steps of the data acquisition method as described above when being executed by a processor.
In summary, the present invention provides a data acquisition method, a system, a terminal and a computer-readable storage medium, wherein the method includes: monitoring a preset interface, and acquiring data into a memory in real time; acquiring data stored in the memory, and sending the data to a Web platform; and after receiving the data, the Web platform writes the data into a distributed log system in real time through a built-in script. The invention unifies the data acquisition mode, does not need to deploy other components, and ensures the low delay, the real-time performance and the stability of data acquisition.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
Of course, it will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by instructing relevant hardware (such as a processor, a controller, etc.) through a computer program, and the program can be stored in a computer readable storage medium, and when executed, the program can include the processes of the embodiments of the methods described above. The computer readable storage medium may be a memory, a magnetic disk, an optical disk, etc.
It is to be understood that the invention is not limited to the examples described above, but that modifications and variations may be effected thereto by those of ordinary skill in the art in light of the foregoing description, and that all such modifications and variations are intended to be within the scope of the invention as defined by the appended claims.
Claims (10)
1. A data acquisition method, characterized in that the data acquisition method comprises:
monitoring a preset interface, and acquiring data into a memory in real time;
acquiring data stored in the memory, and sending the data to a Web platform;
and after receiving the data, the Web platform writes the data into a distributed log system in real time through a built-in script.
2. The data acquisition method of claim 1, wherein the predetermined interface comprises an http interface.
3. The data acquisition method of claim 1, wherein the data comprises: structured log data and non-repetitive structured business data.
4. The data acquisition method according to claim 3, wherein the acquiring the data stored in the memory and sending the data to a Web platform specifically comprises:
acquiring the structured log data and the non-repetitive structured service data in the memory;
and sending the structured log data and the non-repetitive structured service data in the memory to an interface of the Web platform.
5. The data acquisition method according to claim 4, wherein after receiving the data, the Web platform writes the data into the distributed log system in real time through a built-in script, and specifically comprises:
the Web platform successfully receives the structured log data and the non-repetitive structured service data through an interface;
and the Web platform writes the structured log data and the non-repetitive structured service data into a distributed log system in real time through a built-in self-defined acquisition script.
6. The data collection method of claim 5, wherein the collection script is body data that parses HTTP requests.
7. The data collection method of any one of claims 1-6, wherein the Web platform is a scalable Web platform implemented by Lua extended NGINX.
8. A data acquisition system, characterized in that the data acquisition system comprises:
the data acquisition module is used for monitoring the preset interface and acquiring data into the memory in real time;
the data transmission module is used for acquiring the data stored in the memory and sending the data to the Web platform;
and the data writing module is used for writing the data into the distributed log system in real time through the built-in script after the Web platform receives the data.
9. A terminal, characterized in that the terminal comprises: memory, a processor and a data acquisition program stored on the memory and executable on the processor, the data acquisition program when executed by the processor implementing the steps of the data acquisition method according to any one of claims 1 to 8.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a data acquisition program, which when executed by a processor implements the steps of the data acquisition method according to any one of claims 1 to 8.
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Cited By (1)
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