Virtual DOM optimization method based on Vue3 and TypeScript
By optimizing the virtual DOM in Vue3 and TypeScript, and leveraging the TypeScript type system and component reuse technology, the performance bottleneck of the Vue.js virtual DOM in complex web applications has been resolved, achieving efficient rendering and cross-platform compatibility.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- BEI JING ZHONG YAN CHUANG XIN KE JI YOU XIAN GONG SI
- Filing Date
- 2024-03-07
- Publication Date
- 2026-04-17
AI Technical Summary
The existing Vue.js virtual DOM mechanism has performance bottlenecks in complex web applications, making it difficult to cope with the growth of user demands and resulting in excessively long initial rendering times, which affects the user experience.
We employ a virtual DOM optimization method based on Vue3 and TypeScript, which improves rendering efficiency by defining node markers, constructing virtual nodes, comparing the differences between new and old nodes, reusing and caching components, optimizing algorithms, handling events, and monitoring cross-platform performance.
It significantly improves rendering performance, reduces unnecessary DOM operations, enhances user experience and system stability, and supports cross-platform application development.
Smart Images
Figure CN121879722A_ABST
Abstract
Description
Technical Field
[0001] This invention belongs to the field of front-end development technology, specifically a virtual DOM optimization method based on Vue3 and TypeScript. Background Technology
[0002] Vue.js's virtual DOM mechanism is crucial for improving application performance, but as web applications become more complex and data-heavy, its performance bottlenecks become increasingly apparent. While existing technical solutions exist, they are often complex and poorly optimized, failing to meet the growing user demands. Therefore, developing a method to optimize the virtual DOM for Vue3 and TypeScript is essential, aiming to achieve a more efficient and smoother user experience by improving differentiation algorithms, leveraging the type system to enhance rendering efficiency, and combining technologies such as WebWorkers.
[0003] In web applications, initial render time is a common performance challenge. When a page loads for the first time or reloads, the browser needs to parse HTML, CSS, and JavaScript, then build a virtual DOM tree in memory, and finally convert it into a real DOM tree and render it to the screen. This process can involve a significant amount of computation and rendering work, especially for complex applications, where the initial render time can be even longer. This not only impacts the user experience but can also lead to excessively long page load times, increasing the risk of user churn. Therefore, optimizing the initial render time is crucial for improving the performance and user satisfaction of web applications. Summary of the Invention
[0004] The purpose of this invention is to provide a virtual DOM optimization method based on Vue3 and TypeScript. The steps of this optimization method are as follows:
[0005] S1, Define node tags; define the tags and attribute types of virtual DOM nodes using TypeScript;
[0006] S2, Constructing Virtual Nodes; In Vue components, virtual nodes (VNodes) are used to represent DOM nodes;
[0007] S3, compare the old and new virtual nodes; during the rendering process, compare the differences between the old and new virtual nodes to determine the parts that need to be updated;
[0008] S4, component reuse and virtual node caching; through component reuse technology, it reduces redundant rendering and calculation, and caches frequently used virtual nodes locally;
[0009] S5, an optimized algorithm; hash tables or binary tree data structures can be used to accelerate the comparison process;
[0010] S6, Event Handling; Employs event delegation technology to reduce the number and size of event handling functions and improve performance;
[0011] S7 enables cross-platform virtual multi-party testing, performance monitoring, and debugging; it integrates performance monitoring tools to monitor and record application performance data in real time.
[0012] Preferably, S3 is divided into depth-first traversal algorithm and breadth-first traversal algorithm;
[0013] A1, the steps of the depth-first traversal algorithm are as follows:
[0014] A11, start the comparison from the root node of the old and new virtual nodes;
[0015] A12 checks if the attributes of the current node have changed, such as label name, class name, and attributes;
[0016] A13, If the current node has child nodes, recursively apply the DFS algorithm to the child nodes, processing the left child node first.
[0017] First, process the right subtree;
[0018] A14. If the child nodes have not changed, no further comparison or update is needed.
[0019] A15, If child nodes have changed, mark these nodes as needing to be updated and continue recursively comparing; A16, After all child nodes have been processed, return to the parent node and continue processing other unvisited sibling nodes.
[0020] A2, the breadth-first traversal algorithm steps are as follows:
[0021] A21, start comparing the root nodes of the old and new virtual nodes and add them to the queue to be processed; A22, take the first node from the queue and check whether its attributes have changed;
[0022] A23, If a node has child nodes, add the child nodes to the end of the queue to be processed;
[0023] A24, mark the current node as processed, and continue to take the next node from the queue for comparison; A25, repeat steps A22-A25 until the queue is empty, that is, all nodes have been processed.
[0024] Preferably, the steps of using TypeScript in S1 are as follows:
[0025] B1, Lexical Analysis and Syntax Tree Construction:
[0026] B11, this process begins with lexical analysis, which breaks down the source code into a series of lexical units (tokens);
[0027] B12, then these tokens are organized into a syntax tree through syntax analysis, representing the syntactic structure of the code;
[0028] B2, Contextual Analysis:
[0029] B21, after the syntax tree is built, the compiler enters the context analysis phase;
[0030] B22, the compiler traverses the syntax tree, analyzing the context of each variable, function, and expression, including the code block it belongs to, its scope, assignment settings, and function calls;
[0031] B3, Type Inference:
[0032] B31, Based on the results of context analysis, the compiler begins type inference;
[0033] B32. For variables without an explicit type declaration, the compiler infers their type from their initial value or assignment expression.
[0034] B33. For functions, the compiler infers the function type based on the type and number of function parameters and the return value of the function body.
[0035] B4, Type Check:
[0036] B41, After type inference is completed, the compiler enters the type checking phase;
[0037] B42, at this stage, the compiler verifies whether the operations in the code conform to the inferred type;
[0038] B43. If any type mismatch or type error is found, the compiler will generate the corresponding error or warning message.
[0039] B5, Code Output:
[0040] B51, After type checking passes, the compiler converts the TypeScript code into equivalent JavaScript code;
[0041] B52, during the conversion process, all type annotations and type information will be removed, leaving only pure JavaScript code;
[0042] B53 Finally, the generated JavaScript code will be output to the specified file or directory for execution.
[0043] Preferably, the type step using TypeScript in S2 is as follows:
[0044] C1, Type Annotations: TypeScript allows developers to provide explicit type annotations for variables, function parameters, and return values;
[0045] C2, Compile-time type checking: When compiling TypeScript code, the compiler performs strict type checking;
[0046] C3, Type Inference: In addition to explicit type annotations, the TypeScript compiler also has powerful type inference capabilities;
[0047] C4, Interfaces and Type Aliases: TypeScript provides advanced type features such as interfaces and type aliases, allowing developers to define complex type structures that can further constrain the possible values of variables and enhance type safety;
[0048] C5, Generics: Generics are a feature in TypeScript that allows developers to create reusable components that can handle different data types while maintaining type information. Generics enhance code reusability and type safety.
[0049] C6, Error Handling and Warnings: If the TypeScript compiler finds any type errors or potential problems during type checking, it will generate corresponding error messages or warnings.
[0050] Preferably, the component reuse process and the virtual node caching process in S4 are as follows:
[0051] D1, the component reuse process is as follows:
[0052] D11, Component Definition and Abstraction:
[0053] D111, Identify the component functions and characteristics that need to be reused, and abstract them into independent, reusable components;
[0054] D112, design the interface and properties of the component to make it sufficiently universal and flexible to adapt to different use cases;
[0055] D12, Component Implementation and Encapsulation:
[0056] D121, Write the implementation code for the component, including its structure, style, and behavior;
[0057] D122 encapsulates the component's code into an independent module or library, ensuring its independence and portability;
[0058] D13, Component Registration and Export:
[0059] D131, register the component in the appropriate context so that other code can recognize and use it;
[0060] D132, export the component so that it can be imported and used in other files or projects;
[0061] D14, Component Import and Usage:
[0062] D141, import the already registered and exported components where needed;
[0063] D142 uses components, embedding them into the existing code structure and customizing their behavior and appearance by passing properties and data;
[0064] D15, Component Maintenance and Updates:
[0065] D151 performs continuous maintenance and updates on components, fixing potential errors and defects to ensure their stability and reliability;
[0066] D152 iterates and improves components based on feedback and requirements, enhancing their functionality and performance to meet ever-changing needs;
[0067] D2, the process of caching virtual nodes is as follows:
[0068] D21, Identification and Strategy Design:
[0069] D211: Identify the components or services that need to be cached and analyze their access patterns and performance requirements.
[0070] D212, Design appropriate caching strategies, including which data to cache, cache update and invalidation mechanisms, and cache lifecycle management;
[0071] D22, caching mechanism implementation:
[0072] D221, based on the design strategy, implements a caching mechanism, and can choose memory caching, distributed caching, or other caching solutions suitable for the system;
[0073] D222 integrates a caching mechanism into the system, ensuring compatibility with existing load balancing, service discovery, and container orchestration components.
[0074] D23, Virtual Node Creation and Management:
[0075] D231, Create virtual nodes. These nodes can represent actual service instances, but are not necessarily directly mapped to them.
[0076] D232 manages the state of virtual nodes, including their creation, updates, failures, and replacements;
[0077] D24, Request processing and cache interaction:
[0078] D241, when the system receives a user request, it first checks whether there is a corresponding virtual node in the cache;
[0079] D242: If a matching virtual node is found in the cache, the cached data is returned directly, avoiding a call to the actual service instance.
[0080] D243, if there is no data in the cache or the data has expired, then retrieve the data based on the actual service instance and update the cache;
[0081] D25, Monitoring and Optimization:
[0082] D251 monitors the performance metrics of the caching system, such as cache hit rate, response time, and cache size.
[0083] D252 performs performance tuning based on monitoring data, optimizing caching strategies, adjusting cache size, or updating caching mechanisms to improve system performance and response speed.
[0084] Preferably, the step of using the key attribute to identify list items in S5 is as follows:
[0085] E1, Determine the data source: First, you need to have a data source, which can be an array, an object, or any other data structure that can be iterated;
[0086] E2, Mapping Data Sources: Use the .map() function to iterate through your data sources;
[0087] E3, Use a unique key: Use a unique and stable ID as the key whenever possible.
[0088] Preferably, the event proxy technology used in step S6 is as follows:
[0089] F1, Event Propagation Mechanism: When an event occurs on a document node (i.e., the event target), the target's event handler will be triggered;
[0090] F2, Event Capture Phase: During the capture phase of the event propagation mechanism, the event listener function will not be triggered;
[0091] F3, Event Bubbling Phase: Starting from the target element, the event propagates upwards to the top level. If any nodes along the way have corresponding event handlers bound to them, they will be executed.
[0092] Preferably, the process by which the virtual DOM in S7 can run on different platforms is as follows:
[0093] G1, Creating the Virtual DOM: First, developers use JavaScript objects to describe the structure of the DOM tree; this object structure is the virtual DOM.
[0094] G2, comparing the virtual DOM with the real DOM: when the state changes, the new virtual DOM is compared with the old virtual DOM (this process is called the diff algorithm);
[0095] G3, Update the actual DOM: Based on the comparison results, only the parts that need to be updated are updated in the actual DOM, instead of re-rendering the entire page. This reduces unnecessary DOM operations and further improves performance.
[0096] G4, cross-platform rendering: The virtual DOM can not only be used on browser platforms, but can also be represented as a JavaScript object, so it can be used on other platforms.
[0097] The beneficial effects of this invention are as follows:
[0098] This invention utilizes virtual DOM optimization methods based on Vue3 and TypeScript. It not only covers the core steps of the virtual DOM mechanism but also incorporates refined optimization strategies at each step. First, by defining node tags, unique identifiers can be added to virtual nodes during creation, facilitating subsequent comparison and identification. During the virtual node construction phase, the TypeScript type system is fully utilized to ensure type safety of node attributes and reduce runtime errors. When comparing new and old virtual nodes, this invention employs efficient algorithms such as Depth-First Search (DFS) and Breadth-First Search (BFS), selecting the appropriate traversal method based on the specific scenario to improve comparison speed. Incremental DOM updates update only the changed parts, avoiding unnecessary DOM operations and significantly improving rendering performance. Attached Figure Description
[0099] Figure 1 This is a schematic diagram of the overall process of the optimization method of the present invention. Detailed Implementation
[0100] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.
[0101] like Figure 1As shown, this embodiment of the invention provides a virtual DOM optimization method based on Vue3 and TypeScript. The steps of this optimization method are as follows:
[0102] S1, Define node tags; define the tags and attribute types of virtual DOM nodes using TypeScript;
[0103] S2, Constructing Virtual Nodes; In Vue components, virtual nodes (VNodes) are used to represent DOM nodes;
[0104] S3, compare the old and new virtual nodes; during the rendering process, compare the differences between the old and new virtual nodes to determine the parts that need to be updated;
[0105] S4, component reuse and virtual node caching; through component reuse technology, it reduces redundant rendering and calculation, and caches frequently used virtual nodes locally;
[0106] S5, an optimized algorithm; hash tables or binary tree data structures can be used to accelerate the comparison process;
[0107] S6, Event Handling; Employs event delegation technology to reduce the number and size of event handling functions and improve performance;
[0108] S7 enables cross-platform virtual multi-party testing, performance monitoring, and debugging; it integrates performance monitoring tools to monitor and record application performance data in real time.
[0109] S3 is divided into depth-first traversal algorithm and breadth-first traversal algorithm;
[0110] A1, the steps of the depth-first traversal algorithm are as follows:
[0111] A11, start the comparison from the root node of the old and new virtual nodes;
[0112] A12 checks if the attributes of the current node have changed, such as label name, class name, and attributes;
[0113] A13, If the current node has child nodes, recursively apply the DFS algorithm to the child nodes, processing the left child node first.
[0114] First, process the right subtree;
[0115] A14. If the child nodes have not changed, no further comparison or update is needed.
[0116] A15, If child nodes have changed, mark these nodes as needing to be updated and continue recursively comparing; A16, After all child nodes have been processed, return to the parent node and continue processing other unvisited sibling nodes.
[0117] A2, the breadth-first traversal algorithm steps are as follows:
[0118] A21, start comparing the root nodes of the old and new virtual nodes and add them to the queue to be processed; A22, take the first node from the queue and check whether its attributes have changed;
[0119] A23, If a node has child nodes, add the child nodes to the end of the queue to be processed;
[0120] A24, mark the current node as processed, and continue to take the next node from the queue for comparison; A25, repeat steps A22-A25 until the queue is empty, that is, all nodes have been processed;
[0121] Depth-first traversal can traverse every node in the entire graph or tree, ensuring that no node is missed. Depth-first traversal is relatively simple to implement, typically using recursion or a stack data structure. It avoids repeated visits by marking visited nodes, which helps reduce unnecessary computation and memory usage. Breadth-first traversal can traverse the tree level by level, which is helpful for understanding and handling hierarchical problems. Breadth-first traversal can discover nodes and paths at shallower levels early in the traversal process, which is very useful in scenarios where a solution needs to be found quickly. Furthermore, breadth-first traversal is often implemented using a queue, making the algorithm more efficient when dealing with certain problems.
[0122] The steps for using TypeScript in S1 are as follows:
[0123] B1, Lexical Analysis and Syntax Tree Construction:
[0124] B11, this process begins with lexical analysis, which breaks down the source code into a series of lexical units (tokens);
[0125] B12, then these tokens are organized into a syntax tree through syntax analysis, representing the syntactic structure of the code;
[0126] B2, Contextual Analysis:
[0127] B21, after the syntax tree is built, the compiler enters the context analysis phase;
[0128] B22, the compiler traverses the syntax tree, analyzing the context of each variable, function, and expression, including the code block it belongs to, its scope, assignment settings, and function calls;
[0129] B3, Type Inference:
[0130] B31, Based on the results of context analysis, the compiler begins type inference;
[0131] B32. For variables without an explicit type declaration, the compiler infers their type from their initial value or assignment expression.
[0132] B33. For functions, the compiler infers the function type based on the type and number of function parameters and the return value of the function body.
[0133] B4, Type Check:
[0134] B41, After type inference is completed, the compiler enters the type checking phase;
[0135] B42, at this stage, the compiler verifies whether the operations in the code conform to the inferred type;
[0136] B43. If any type mismatch or type error is found, the compiler will generate the corresponding error or warning message.
[0137] B5, Code Output:
[0138] B51, After type checking passes, the compiler converts the TypeScript code into equivalent JavaScript code;
[0139] B52, during the conversion process, all type annotations and type information will be removed, leaving only pure JavaScript code;
[0140] B53, Finally, the generated JavaScript code will be output to the specified file or directory for execution;
[0141] Using TypeScript's compile-time type inference offers several benefits. First, it improves code readability and maintainability. Since the compiler can automatically infer the types of variables and functions, developers don't need to explicitly declare all types, reducing redundant code. Second, type inference enhances type safety; the compiler catches type errors during compilation, preventing runtime errors and improving code robustness and reliability. Furthermore, type inference facilitates more powerful code refactoring and refactoring tools. Because type information is known, refactoring tools can analyze code more accurately and provide more precise refactoring suggestions.
[0142] The type steps in S2 using TypeScript are as follows:
[0143] C1, Type Annotations: TypeScript allows developers to provide explicit type annotations for variables, function parameters, and return values;
[0144] C2, Compile-time type checking: When compiling TypeScript code, the compiler performs strict type checking;
[0145] C3, Type Inference: In addition to explicit type annotations, the TypeScript compiler also has powerful type inference capabilities;
[0146] C4, Interfaces and Type Aliases: TypeScript provides advanced type features such as interfaces and type aliases, allowing developers to define complex type structures that can further constrain the possible values of variables and enhance type safety;
[0147] C5, Generics: Generics are a feature in TypeScript that allows developers to create reusable components that can handle different data types while maintaining type information. Generics enhance code reusability and type safety.
[0148] C6, Error Handling and Warnings: If the TypeScript compiler finds any type errors or potential problems during type checking, it will generate corresponding error messages or warnings;
[0149] Using TypeScript's type safety features brings many benefits. First, type safety can catch type errors while writing code, avoiding unexpected errors at runtime, thereby improving code robustness and reliability. Second, type annotations and type inference can reduce errors and redundancy in code, improving code readability and maintainability. In addition, TypeScript's type system also supports advanced type features such as interfaces and generics, which can help developers build more robust and reusable code structures.
[0150] Among them, the component reuse process and the cached virtual node process in S4 are as follows:
[0151] D1, the component reuse process is as follows:
[0152] D11, Component Definition and Abstraction:
[0153] D111, Identify the component functions and characteristics that need to be reused, and abstract them into independent, reusable components;
[0154] D112, design the interface and properties of the component to make it sufficiently universal and flexible to adapt to different use cases;
[0155] D12, Component Implementation and Encapsulation:
[0156] D121, Write the implementation code for the component, including its structure, style, and behavior;
[0157] D122 encapsulates the component's code into an independent module or library, ensuring its independence and portability;
[0158] D13, Component Registration and Export:
[0159] D131, register the component in the appropriate context so that other code can recognize and use it;
[0160] D132, export the component so that it can be imported and used in other files or projects;
[0161] D14, Component Import and Usage:
[0162] D141, import the already registered and exported components where needed;
[0163] D142 uses components, embedding them into the existing code structure and customizing their behavior and appearance by passing properties and data;
[0164] D15, Component Maintenance and Updates:
[0165] D151 performs continuous maintenance and updates on components, fixing potential errors and defects to ensure their stability and reliability;
[0166] D152 iterates and improves components based on feedback and requirements, enhancing their functionality and performance to meet ever-changing needs;
[0167] D2, the process of caching virtual nodes is as follows:
[0168] D21, Identification and Strategy Design:
[0169] D211: Identify the components or services that need to be cached and analyze their access patterns and performance requirements.
[0170] D212, Design appropriate caching strategies, including which data to cache, cache update and invalidation mechanisms, and cache lifecycle management;
[0171] D22, caching mechanism implementation:
[0172] D221, based on the design strategy, implements a caching mechanism, and can choose memory caching, distributed caching, or other caching solutions suitable for the system;
[0173] D222 integrates a caching mechanism into the system, ensuring compatibility with existing load balancing, service discovery, and container orchestration components.
[0174] D23, Virtual Node Creation and Management:
[0175] D231, Create virtual nodes. These nodes can represent actual service instances, but are not necessarily directly mapped to them.
[0176] D232 manages the state of virtual nodes, including their creation, updates, failures, and replacements;
[0177] D24, Request processing and cache interaction:
[0178] D241, when the system receives a user request, it first checks whether there is a corresponding virtual node in the cache;
[0179] D242: If a matching virtual node is found in the cache, the cached data is returned directly, avoiding a call to the actual service instance.
[0180] D243, if there is no data in the cache or the data has expired, then retrieve the data based on the actual service instance and update the cache;
[0181] D25, Monitoring and Optimization:
[0182] D251 monitors the performance metrics of the caching system, such as cache hit rate, response time, and cache size.
[0183] D252 performs performance tuning based on monitoring data, optimizing caching strategies, adjusting cache size, or updating caching mechanisms to improve system performance and response speed.
[0184] The benefits of using component reuse and caching virtual nodes are multifaceted. First, component reuse reduces code redundancy and improves code maintainability and reusability. By abstracting and encapsulating components, developers can reuse these components in different projects, thereby reducing the workload of repetitive development. Second, caching virtual nodes can significantly improve system performance and response speed. By caching the state of frequently used components or services in memory, the system can respond to requests quickly, avoiding unnecessary network latency and service calls. At the same time, the caching mechanism can also reduce the load on actual service instances, improving system stability and scalability.
[0185] The steps for using the key attribute to identify list items in S5 are as follows:
[0186] E1, Determine the data source: First, you need to have a data source, which can be an array, an object, or any other data structure that can be iterated;
[0187] E2, Mapping Data Sources: Use the .map() function to iterate through your data sources;
[0188] E3, use a unique key: Use a unique and stable ID as the key whenever possible;
[0189] Using the key attribute to identify list items has many benefits in React. First, it helps React identify which items have been changed, added, or removed, thereby optimizing the component's re-rendering process. This not only improves performance, especially when dealing with large or frequently updated lists, but also reduces unnecessary rendering and improves the user experience. Second, using the key attribute ensures the correct maintenance of the component's state and prevents state chaos during list updates.
[0190] The steps for using event proxy technology in S6 are as follows:
[0191] F1, Event Propagation Mechanism: When an event occurs on a document node (i.e., the event target), the target's event handler will be triggered;
[0192] F2, Event Capture Phase: During the capture phase of the event propagation mechanism, the event listener function will not be triggered;
[0193] F3, Event Bubbling Phase: Starting from the target element, the event propagates upwards to the top level. If any nodes along the way have corresponding event handlers bound to them, they will be executed.
[0194] Using event delegation not only improves performance, simplifies code, and supports dynamic content, but also allows for event delegation, making it an efficient and practical technique in front-end programming. By reducing the number of event listeners, event delegation effectively reduces memory consumption and processor utilization, thereby improving the overall performance of the application. In addition, event delegation simplifies code structure, making event handling logic clearer and easier to maintain. For dynamically added or removed elements, event delegation does not require rebinding events, thus reducing maintenance costs. At the same time, event delegation allows the use of event bubbling to centralize event handlers in one place, achieving code reuse and flexibility.
[0195] The process by which the virtual DOM in S7 can run on different platforms is as follows:
[0196] G1, Creating the Virtual DOM: First, developers use JavaScript objects to describe the structure of the DOM tree; this object structure is the virtual DOM.
[0197] G2, comparing the virtual DOM with the real DOM: when the state changes, the new virtual DOM is compared with the old virtual DOM (this process is called the diff algorithm);
[0198] G3, Update the actual DOM: Based on the comparison results, only the parts that need to be updated are updated in the actual DOM, instead of re-rendering the entire page. This reduces unnecessary DOM operations and further improves performance.
[0199] G4, cross-platform rendering: The virtual DOM can not only be used on browser platforms, but can also be represented as a JavaScript object, so it can be used on other platforms;
[0200] First, cross-platform compatibility allows developers to build applications for multiple platforms using a unified codebase, reducing development and maintenance costs. Second, the abstraction layer of the Virtual DOM allows developers to focus on business logic without worrying about the underlying platform details, improving development efficiency and portability. In addition, because the Virtual DOM's diff algorithm optimizes DOM operations, it can bring performance improvements on different platforms, especially in performance-constrained environments such as mobile applications or server-side rendering.
[0201] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus.
[0202] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their likenesses.
Claims
1. A virtual DOM optimization method based on Vue3 and TypeScript, characterized in that: The steps of this optimization method are as follows: S1, Define node tags; define the tags and attribute types of virtual DOM nodes using TypeScript; S2, Constructing Virtual Nodes; In Vue components, virtual nodes (VNodes) are used to represent DOM nodes during construction. S3, compare the old and new virtual nodes; during the rendering process, compare the differences between the old and new virtual nodes to determine the parts that need to be updated; S4, component reuse and virtual node caching; through component reuse technology, it reduces redundant rendering and calculation, and caches frequently used virtual nodes locally; S5, Optimized Algorithm: Employs hash tables or binary tree data structures to accelerate the comparison process; S6, Event Handling; Employs event delegation technology to reduce the number and size of event handling functions and improve performance; S7 enables cross-platform virtual multi-party testing, performance monitoring, and debugging; it employs integrated performance monitoring tools to monitor and record application performance data in real time.
2. The virtual DOM optimization method based on Vue3 and TypeScript according to claim 1, characterized in that: The S3 algorithm is divided into depth-first traversal algorithm and breadth-first traversal algorithm; A1, the steps of the depth-first traversal algorithm are as follows: A11, start the comparison from the root node of the old and new virtual nodes; A12 checks if the attributes of the current node have changed, such as label name, class name, and attributes; A13. If the current node has child nodes, then recursively apply the DFS algorithm to the child nodes, processing the left subtree first and then the right subtree. A14. If the child nodes have not changed, no further comparison or update is needed. A15, if the child nodes have changed, mark these nodes as needing to be updated and continue recursively comparing; A16: After all child nodes have been processed, return to the parent node and continue processing other unvisited sibling nodes. A2, the breadth-first traversal algorithm steps are as follows: A21, start comparing the root nodes of the old and new virtual nodes and add them to the queue to be processed; A22, Take the first node from the queue and check if its attributes have changed; A23, If a node has child nodes, add the child nodes to the end of the queue to be processed; A24, mark the current node as processed, and continue to retrieve the next node from the queue for comparison; A25, repeat steps A22-A25 until the queue is empty, meaning all nodes have been processed.
3. The virtual DOM optimization method based on Vue3 and TypeScript according to claim 1, characterized in that: The steps for using TypeScript in S1 are as follows: B1, Lexical Analysis and Syntax Tree Construction: B11, this process begins with lexical analysis, which breaks down the source code into a series of lexical units (tokens); B12, then these tokens are organized into a syntax tree through syntax analysis, representing the syntactic structure of the code; B2, Contextual Analysis: B21, after the syntax tree is built, the compiler enters the context analysis phase; B22, the compiler traverses the syntax tree, analyzing the context of each variable, function, and expression, including the code block it belongs to, its scope, assignment settings, and function calls; B3, Type Inference: B31, Based on the results of context analysis, the compiler begins type inference; B32. For variables without an explicit type declaration, the compiler infers their type from their initial value or assignment expression. B33. For functions, the compiler infers the function type based on the type and number of function parameters and the return value of the function body. B4, Type Check: B41, After type inference is completed, the compiler enters the type checking phase; B42, at this stage, the compiler verifies whether the operations in the code conform to the inferred type; B43. If any type mismatch or type error is found, the compiler will generate the corresponding error or warning message. B5, Code Output: B51, After the type check passes, the compiler will convert the TypeScript code into valid JavaScript code; B52, during the conversion process, all type annotations and type information will be removed, leaving only pure JavaScript code; B53 Finally, the generated JavaScript code will be output to the specified file or directory for execution.
4. The virtual DOM optimization method based on Vue3 and TypeScript according to claim 1, characterized in that: The steps for using TypeScript in S2 are as follows: C1, Type Annotations: TypeScript allows developers to provide explicit type annotations for variables, function parameters, and return values; C2, Compile-time type checking: When compiling TypeScript code, the compiler performs strict type checking; C3, Type Inference: In addition to explicit type annotations, the TypeScript compiler also has powerful type inference capabilities; C4, Interfaces and Type Aliases: TypeScript provides advanced type features such as interfaces and type aliases, allowing developers to define complex type structures and further constrain the possible values of variables; C5, Generics: Generics are a feature in TypeScript that allows developers to create reusable components that handle different data types while maintaining type information. Generics enhance code reusability and type safety. C6, Error Handling and Warnings: If the TypeScript compiler finds any type errors or potential problems during type checking, it will generate corresponding error messages or warnings.
5. The virtual DOM optimization method based on Vue3 and TypeScript as described in claim 1, characterized in that: The component reuse process and virtual node caching process in S4 are as follows: D1, the component reuse process is as follows: D11, Component Definition and Abstraction: D111, Identify the component functions and characteristics that need to be reused, and abstract them into independent, reusable components; D112, design the interface and properties of the component to make it sufficiently universal and flexible to adapt to different use cases; D12, Component Implementation and Encapsulation: D121, Write the implementation code for the component, including its structure, style, and behavior; D122 encapsulates the component's code into an independent module or library, ensuring its independence and portability; D13, Component Registration and Export: D131, register the component in the appropriate context so that other code can recognize and use it; D132, export the component so that it can be imported and used in other files or projects; D14, Component Import and Usage: D141, import the already registered and exported components where needed; D142 uses components, embedding them into the existing code structure and customizing their behavior and appearance by passing properties and data; D15, Component Maintenance and Updates: D151 performs continuous maintenance and updates on components, fixing potential errors and defects to ensure their stability and reliability; D152 iterates and improves components based on feedback and requirements, enhancing their functionality and performance to meet ever-changing needs; D2, the process of caching virtual nodes is as follows: D21, Identification and Strategy Design: D211: Identify the components or services that need to be cached and analyze their access patterns and performance requirements. D212, Design appropriate caching strategies, including which data to cache, cache update and invalidation mechanisms, and cache lifecycle management; D22, caching mechanism implementation: D221, based on the designed strategy, implement the caching mechanism and select memory caching, distributed caching, or other caching solutions suitable for the system; D222 integrates a caching mechanism into the system, ensuring compatibility with existing load balancing, service discovery, and container orchestration components. D23, Virtual Node Creation and Management: D231, Create virtual nodes that represent actual service instances, but are not necessarily directly mapped to them; D232 manages the state of virtual nodes, including their creation, updates, failures, and replacements; D24, Request processing and cache interaction: D241, when the system receives a user request, it first checks whether there is a corresponding virtual node in the cache; D242: If a matching virtual node is found in the cache, the cached data is returned directly, avoiding a call to the actual service instance. D243, if there is no data in the cache or the data has expired, then retrieve the data based on the actual service instance and update the cache; D25, Monitoring and Optimization: D251 monitors the performance metrics of the caching system, such as cache hit rate, response time, and cache size. D252 performs performance tuning based on monitoring data, optimizing caching strategies, adjusting cache size, or updating caching mechanisms to improve system performance and response speed.
6. The virtual DOM optimization method based on Vue3 and TypeScript according to claim 1, characterized in that: The steps for using the key attribute to identify list items in S5 are as follows: E1, Determine the data source: A data source is required, such as an array, an object, or any other iterable data structure; E2, Mapping Data Sources: Use the .map() function to iterate through your data sources; E3, use a unique key: use a unique and stable ID as the key.
7. The virtual DOM optimization method based on Vue3 and TypeScript according to claim 1, characterized in that: The steps for using event proxy technology in S6 are as follows: F1, Event Propagation Mechanism: When an event occurs on a document node (i.e., the event target), the target's event handler will be triggered; F2, Event Capture Phase: During the capture phase of the event propagation mechanism, the event listener function will not be triggered; F3, Event Bubbling Phase: Starting from the target element, the event propagates upwards to the top level. If any nodes along the way have corresponding event handlers bound to them, they will be executed.
8. The virtual DOM optimization method based on Vue3 and TypeScript according to claim 1, characterized in that: The process of running the virtual DOM in S7 on different platforms is as follows: G1, Creating a Virtual DOM: Using JavaScript objects to describe the structure of the DOM tree, this object structure is the virtual DOM; G2, comparing the virtual DOM with the actual DOM: when the state changes, the new virtual DOM is compared with the old virtual DOM; G3, Update Actual DOM: Based on the comparison results, only the parts that need to be updated are updated in the actual DOM, instead of re-rendering the entire page; G4, cross-platform rendering: The virtual DOM is not only used on browser platforms, but can also be represented as a JavaScript object, thus making it suitable for use on other platforms.