CN110502212B - Multi-language-oriented high concurrency online development supporting method - Google Patents
Multi-language-oriented high concurrency online development supporting method Download PDFInfo
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- G06F8/33—Intelligent editors
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- G06F9/46—Multiprogramming arrangements
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Abstract
The invention provides a multi-language-oriented high concurrency online development supporting method, which provides online development environments for all users entering a platform, and the users can open a browser to develop by using the platform at any time and any place. The invention provides a code editor which can carry out intelligent prompt; providing multi-type page support comprises providing a form editing interface and a basic mode development page by a JMeter test; the method has the advantages that the background request is subjected to load balancing forwarding, a code execution mechanism based on a Docker is realized, multiple programming languages and project types are compatible, and the expansion can be conveniently carried out; and the development of asynchronous queue service management realizes distributed computation and improves the system performance. The beneficial effects of the invention are as follows: the intelligent code prompt function reduces the editing and repeated copying pasting operations of simple code blocks, and improves the development efficiency of users; the multi-type multi-language view angle is suitable for the requirement of diversity development; request distribution is carried out, and the high load and high concurrency condition is solved; the asynchronous queue service management is provided, the expandability of the service is greatly improved, and the possibility is provided for the expandability.
Description
Technical Field
The invention relates to a Web application technology, in particular to an implementation method of an online programming platform, aiming at realizing a WebIDE platform comprising a Junit test, a Python programming, a JMeter pressure test, a Selenium test and the like.
Background
The problem of compatibility and expansibility is gradually exposed by a local programming platform (local IDE) under the higher requirements of increasing user quantity, expanding service quantity, and increasing service variety at present, and the idea of a WebIDE online programming platform is generated. The WebIDE not only can eliminate the problem of difficult environment configuration, but also can be better fused with our back-end service, the service can be updated immediately, and the code file can be stored remotely.
There are many different types of WebIDE online programming platforms at home and abroad at present, such as jsfile focused on front-end runtime programming, project management integrated online programming domestic platform coding. Net, and even some brands of local IDEs, such as Eclipse, are beginning to expand WebIDE business. However, different requirements will yield different products, and for so many WebIDE online programming platforms that have been formed, the technology cannot be directly applied, and the services we provide are not limited to just code compiling and running, but more focused on the subsequent code analysis part. The analysis service part of the online programming platform has no mature implementation scheme or product on the market.
Today, the increasing impact of online programming platforms, how to integrate development pipelines so that code editing, running, management and analysis can be implemented on a unified platform is a focus of attention for developers. An online, visual, online programming platform with sophisticated editing and analysis modules is desired by the developer.
Disclosure of Invention
In order to achieve the above object, the present invention implements an online integrated development platform compatible with multiple languages and project types, capable of intuitively editing codes and running, and capable of bearing higher concurrency and load.
The technical scheme of the invention is as follows: a multi-language-oriented high concurrency online development supporting method is characterized in that a code editor can carry out intelligent prompt; providing a form editing interface for the JMeter test; the method has the advantages that the background request is subjected to load balancing forwarding, a code execution mechanism based on a Docker is realized, multiple programming languages and project types are compatible, and the expansion can be conveniently carried out; and the development of asynchronous queue service management realizes distributed computation and improves the system performance.
The method mainly comprises the implementation modes of code automatic prompt design, JMeter formalized display, request distribution and file synchronization, a code running mechanism and asynchronous queue service, and comprises the following steps:
the Java code automatic prompt design is mainly based on a lexical analyzer, a snippet (code fragment), keywords and a method library.
1.1 the lexical analyzer uses the state transition diagram to identify word symbols. The state transition diagram causes a finite pattern to include an initial state and at least one final state. Mainly distinguishing cases of delimiters, operators, single-line notes, multiple-line notes, identifiers or keywords, numeric strings, illegal characters
1.2 code fragments use 'name': { prefix: ' body: ' data structure, where name represents a name description statement, prefix represents a contracted string for matching user input, and body is a code template. The code segment library needs to be customized in advance, so that editing of simple code blocks of a user and repeated copying and pasting operations are reduced as much as possible
The jmeter formalized shows that the front end with the code editor as the core already supports multiple types of tests, but the pressure test needs to run a test plan script file in XML format. Thus providing a front-end interface for form editing. The editing interface is a front-end project which can be independently deployed, and a back-end API of the WebIDE is called to realize the flow of examination.
2.1JSON and XML are mutually converted, user input is obtained by providing a mode of formalized editing test plans for users, then the user input in the JSON format is converted into a test script in the XML format for test program execution, and in addition, the display of the stored test script on an interface is realized.
2.2 serial and parallel mixed interface call, the JMeter form is edited as an independent front-end item, and three steps of acquiring a working space code, acquiring file content and establishing Socket communication are needed to be sequentially realized in the working space initialization process. Wherein the step of obtaining the content of the file requires that two requests be sent simultaneously to obtain the content of different files.
3. Request distribution and file synchronization
And 3.1, forwarding the back-end requests by using Nginx, and enabling the load of each back-end server to be as balanced as possible on the basis of ensuring the connection of the client WebSocket through a third-party distribution algorithm Sticky. Meanwhile, the fault tolerance of the system is enhanced through the server which eliminates downtime through health examination.
And 3.2, ensuring the consistency of user files on the multi-node server by utilizing an NAS file storage service of the Arian, and realizing the sharing and real-time updating of the files by mounting the working spaces on all the back-end servers to the NAS file system instance.
4. Code running service implementation mechanism
4.1 the asynchronous queue service provides a unified REST API, the WebIDE back end realizes the starting and stopping of the running tool by calling the API, and the interface of the WebIDE back end to the API package is as follows:
wherein AsyncJobTool packages information of a corresponding tool, and CallBackClass defines a callback function of WebIDE when task processing is completed.
4.2 providing various programming languages and project types of running environments, such as Java, python, jmeter, selenium, by constructing a Docker mirror image, and simultaneously being capable of being conveniently expanded, and being seamlessly accessed into WebIDE as long as the Docker mirror image conforming to data constraint is constructed. The data constraints include:
a) The log, score and other files are output to a unified file
b) The local score calculation result accords with the existing JSON format definition:
wherein the content of score and title is defined according to the item type requirements.
5. Asynchronous services include operation primitive design, asynchronous queues and distributed schemes
5.1 the service designed for integration into the WebIDE platform provides a unified interface standard for third party services meeting the requirements of the operational primitives to be integrated onto the platform. The operation primitives include the running, stopped and state of the service.
5.2 asynchronous queues allow services entering the WebIDE communication module to be managed, and receive scheduling of the next-stage distributed scheme in units of messages or message groups. After the service is executed, the service informs the queue in an asynchronous message mode, and the original message or the message group in the queue is updated.
5.3 distributed scheme adopts reasonable load balancing strategy to distribute the information or information group in the asynchronous queue to different servers for execution. The specific service operates by way of a container mirror image.
The invention has the beneficial effects that: the platform provides an online integrated development environment for all users participating in test or exercise of the test master station, realizes the intelligent prompt function of codes, reduces editing and repeated copying and pasting operations of simple code blocks, and improves the development efficiency of users; the multi-type multi-language view angle is suitable for the requirement of diversity development; request distribution is carried out, and the high load and high concurrency condition is solved; the asynchronous queue service management is provided, the expandability of the service is greatly improved, and the possibility is provided for the expandability.
Drawings
Fig. 1 is a diagram of the overall architecture of the present invention.
Fig. 2 is a state transition diagram of lexical analysis.
FIG. 3 is a diagram of a distributed asynchronous service framework
Detailed Description
For further understanding of the technical content of the present invention, the operation of WebIDE in conjunction with the accompanying drawings is described below.
FIG. 1 is a diagram of the overall architecture of a WebIDE platform. The circulation process requested by the user after the user enters the WebIDE from the mousing master station comprises the following steps:
step 1: the user clicks on online to make questions, carries token to enter WebIDE from the mu test master station, enters the jMeter front end if the item is a jMeter item, and enters the default front end if the item is a jMeter item
Step 2: the front end performs visual display and simultaneously sends a user request with a token to the server end
Step 3: the front-end requests sent to the server are forwarded in a load balancing way through Nginx
Step 4: the server receives the request with the token, analyzes the token, acquires the user and examination information, judges whether the user enters the WebIDE for the first time, if yes, downloads examination corresponding questions to the OSS, if not, directly uses the existing user files on the server, and returns the user file information to the front end
Step 5: the front end obtains file information returned by the server end, performs working space display, establishes WebSocket connection with the server end, and subscribes to related interfaces
Step 6: when the user performs code editing operation, the front end sends the file edited by the user to the server
Step 7: the server writes the file on the server and returns whether the writing is successful to the front end
Step 8: when a user initiates a running request, the front end requests the service end to run user project codes
Step 9: the server receives the operation request, sends the operation task to the asynchronous queue service, and informs the front end of queuing
Step 10: the asynchronous queue service receives the task of the WebIDE server and starts a Docker container in the service array to process the task
Step 11: the Docker container runs project codes, and analysis, calculation, packaging and other operations are performed inside the Docker
Step 12: the server monitors that the task processing is completed, and pushes the processing result to the front end for display through the WebSocket.
Fig. 2 is a state transition diagram of lexical analysis, and the editor realizes intelligent prompt through lexical analysis, and the preprocessing process of lexical analysis comprises the following steps:
step 1: reading in the next character from left to right, if the last character is reached, executing step 22, otherwise executing step 3, step 4 and step 5;
step 2: concatenating the string to str;
step 3: reading the character into ch, and advancing the pointer by one character;
step 4: checking whether characters in ch are blank, if so, calling getChar () until a non-blank character is entered in ch;
step 5: judging whether ch is a letter, if so, executing the step 7, otherwise, executing the step 6;
step 6: judging whether ch is a number, if yes, executing step 2, step 3 and step 10 in sequence, otherwise executing step 12;
step 7: judging whether ch is a letter or a number, if yes, executing the step 2, the step 3 and the step 8 in sequence, otherwise executing the step 8;
step 8: judging that the character sequences str are all keywords, if the str type is set as 'keyword', writing back the file, setting str to be null, and executing the step 1, otherwise, executing the step 9;
step 9: setting str type as 'id', writing back the file, setting str as null, and executing the step 1;
step 10: judging whether ch is a letter, if so, setting str type as "error", writing back the file, setting str as empty, executing step 1, otherwise, executing step 11;
step 11: setting str type as digit, writing back the file, setting str as null, and executing step 1;
step 12: judging whether ch is an operator, if yes, executing the step 13, otherwise, executing the step 20;
step 13: judging whether ch is '/', if yes, executing step 3 and step 14 in sequence, otherwise executing step 18;
step 14: judging ch is' all, if yes, executing step 3 and step 15 in turn, otherwise executing step 18;
step 15: judging whether ch is '. Times', if yes, executing step 3 and step 16 in turn, otherwise executing step 18;
step 16: judging whether ch is '/', if so, executing the step 3 and the step 18 in sequence, otherwise, executing the step 18;
step 17: judging whether ch is ' + ', ' - ', '/', ' > ', ' < ', ' = ', and, ', if yes, writing back the file corresponding type, otherwise, executing the step 1;
step 18: judging whether ch is '/', if yes, executing step 19, otherwise executing step 17;
step 19: judging whether ch is 9, if yes, executing the step 17, otherwise, executing the step 3 and the step 17 in sequence;
step 20: judging whether ch is a delimiter, if so, setting str type as 'separators', writing back the file, otherwise, executing step 21;
step 21: setting str type as "error", writing back the file, executing step 1, otherwise executing step 1;
step 22: and (5) ending.
The JMeter form editing needs to realize the mutual conversion of JSON and XML, and most importantly, the structure correspondence relationship is formulated, so that the tag name, the tag attribute, the value and the sub-tag in the XML structure have a corresponding storage mode in JSON. The final specified correspondence is as follows:
the communication module of WebIDE designs three operation primitives of start, stop and status, and implements a distributed asynchronous queue using a solution of celery+haproxy.
1. The operation primitive prescribes a unified interface standard for the communication module
1.1Start starts service, transmits detailed operation parameters, operates an execution script corresponding to the container mirror image file, returns a process PID of container operation, and updates information in an asynchronous queue. The start service primitive takes into account the re-entry of the service, and multiple start services trigger a start effect only once.
1.2Stop stopping service, introducing service process PID as parameter, stopping running of container mirror image by executing container script, returning to executing state, and updating information in asynchronous queue.
1.3Status checks the service Status, goes into the service process PID, and queries the progress of service operation by executing the container script.
2. By adopting Celery integrated RabbitMQ queue, the asynchronous queue is realized, and the messages or message groups in the queue can be dynamically added, deleted and updated. Celery wraps RabbitMQ and exposes the start, stop and status interfaces to the outside according to the standard of the operation primitive.
3. HAProxy was used as a scheme for load balancing. Four layers of load balancing are employed and a dynamically weighted round robin algorithm is used. The scheme flow of load balancing is as follows:
3.1 defining initial server load weights
3.2HAproxy monitoring server Performance State
3.3 services in the Server run queue
3.4 server Performance State Change
3.5HAproxy modifying load weights
The invention relates to a plurality of key technologies, which are described as follows:
1)WebSocket
in the invention, the WebSocket is mainly used for realizing a two-way communication mechanism between the server and the client, so that the server can actively push data such as operation submitting results to the client for display.
2)Nginx
In the invention, nginx is mainly used for front-end static file deployment and back-end request forwarding, and is combined with a Sticky algorithm to realize server-end load balancing and improve WebIDE performance.
3)NAS
In the invention, the NAS is mainly used for carrying out file mounting on a server, and sharing and real-time updating of files and catalogs on a plurality of computing nodes are realized.
4)Celery+RabbitMQ
In the invention, an Celery integrated RabbitMQ queue is used to realize an asynchronous queue.
5)HAProxy
In the present invention, HAProxy is used as a scheme for load balancing. Four layers of load balancing are employed and a dynamically weighted round robin algorithm is used.
In summary, the invention converts local development into online development, greatly reduces time and effort spent by a user in configuring an environment, is compatible with various programming languages and project types, and has good expandability. Meanwhile, multidirectional load balancing is guaranteed, a large number of user operations can be carried in a short time, server resources are reasonably distributed, and a high-performance and high-availability integrated online development platform is built.
Claims (6)
1. A high concurrency online development supporting method for multiple languages provides a code editor and can carry out intelligent prompt; providing a form editing interface for the JMeter test; carrying out load balancing forwarding on the background request, forwarding the back-end request by using Nginx, enabling the load of each back-end server to be balanced as much as possible on the basis of ensuring the connection of the client WebSocket through a third-party distribution algorithm Sticky, and meanwhile, eliminating the down server through health examination, so that the fault tolerance of the system is enhanced; the code execution mechanism based on the Docker is realized, a unified REST API is provided, the starting and stopping of the running tool are realized by calling the API by the WebIDE rear end, and the running environments of various programming languages and project types are provided by constructing the Docker mirror image, so that the running environment can be conveniently expanded; and the development of asynchronous queue service management realizes distributed computation and improves the system performance.
2. The multi-language oriented high concurrency online development support method of claim 1, wherein the code editor intelligent hint method comprises,
1) The lexical analyzer uses a state transition diagram to identify word symbols, the state transition diagram enables a finite pattern to contain an initial state and at least one final state, and mainly distinguishes the situations of delimiters, operators, single-line notes, multiple-line notes, identifiers or keywords, numeric strings and illegal characters;
2) Code fragments use 'name': { prefix: ' body: the' data structure is represented, wherein name represents a name description sentence, prefix represents a contracted character string and is used for matching user input, body is a code template, a code fragment library is required to be customized in advance, and editing and repeated copying and pasting operations of simple code blocks of a user are reduced as much as possible.
3. The multi-language oriented high concurrency online development support method of claim 1, wherein the JMeter formalized representation comprises,
1) The JSON and the XML are mutually converted, user input is obtained by providing a mode of formalized editing test plans for users, then the user input in the JSON format is converted into a test script in the XML format for test program execution, and in addition, the display of the stored test script on an interface is realized;
2) The method comprises the steps of calling a serial and parallel hybrid interface, editing a JMeter form as an independent front-end item, and sequentially realizing three steps of acquiring a working space code, acquiring file contents and establishing Socket communication in the working space initialization process, wherein the step of acquiring the file contents is required to simultaneously send two requests to acquire the contents of different files.
4. The method for supporting multi-language oriented high concurrency online development according to claim 1, wherein the load balancing forwarding mode comprises,
1) The consistency of user files on the multi-node server is ensured by utilizing an NAS file storage service of the Arian, and the sharing and real-time updating of the files are realized by mounting the working spaces on all the back-end servers to the NAS file system instance.
5. The multi-language oriented high concurrency online development support method of claim 1, wherein the Docker-based code execution mechanism comprises,
1) The interface of the WebIDE backend to the unified REST API package is as follows:
wherein AsyncJobTool packages information of a corresponding tool, and CallBackClass defines a callback function of WebIDE when task processing is completed;
2) The method provides running environments of various programming languages and project types by constructing the Docker mirror image, wherein the running environments comprise Java, python, jmeter, selenium, and can be conveniently expanded, and the data constraint can be seamlessly accessed into the WebIDE as long as the Docker mirror image conforming to the data constraint is constructed, and the data constraint comprises:
a) Log and score file output to unified file
b) The local score calculation result accords with the existing JSON format definition:
wherein the content of score and title is defined according to the item type requirements.
6. The high concurrency multi-language online development support method of claim 1, wherein asynchronous queue service management comprises,
1) The design of the operation primitive specifies a unified interface standard for the service integrated to the WebIDE platform, and the third party service meeting the requirement of the operation primitive can be integrated to the platform, and the operation primitive comprises three types of service running, stopping and state;
2) The asynchronous queue allows the service entering the WebIDE communication module to be managed, receives the dispatch of the next stage of distributed scheme by taking the message or the message group as a unit, and after the service is executed, the service informs the queue in an asynchronous message mode to update the original message or the message group in the queue;
3) The distributed scheme adopts a reasonable load balancing strategy, distributes messages or message groups in an asynchronous queue to different servers for execution, and the specific service operates in a container mirroring mode.
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| CN111580801A (en) * | 2020-04-27 | 2020-08-25 | 青海大学 | Cross-programming-language distributed computing framework |
| CN112764894A (en) * | 2020-12-14 | 2021-05-07 | 上海欧易生物医学科技有限公司 | Credit generation analysis task scheduling system based on container technology, and construction method and scheduling scheme thereof |
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