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Kafka high-throughput producer optimization: Realize millions of messages to send instantly
This article aims to explore in-depth key optimization strategies for Kafka producers to achieve millions of message throughput. We will analyze the core configurations of the producer side (such as linger.ms, batch.size, acks, enable.idempotence, compression.type) and Topic side (such as min.insync.replicas), clarify the trade-offs between batch processing, compression, confirmation mechanisms and data persistence, and provide performance testing tools and code optimization suggestions to help developers break through performance bottlenecks.
Sep 12, 2025 am 04:48 AM
Master HTTP persistent connection: the principles and practices of sending multiple requests on the same Socket
This article explores in-depth principles and common pitfalls of sending multiple HTTP requests (i.e. HTTP persistent connections or Keep-Alive) on the same Socket connection. The article will analyze the impact of client request protocol version and server response header Connection: close, and emphasize the server's decision on connection persistence, especially in embedded systems with resource constrained resources, to help readers understand and correctly implement efficient HTTP communication.
Sep 12, 2025 am 04:00 AM
Implementing general enumeration verification in Spring Boot: Practice based on custom annotation and reflection
This article discusses how to implement a general enumeration value verification scheme through custom annotation and Java reflection mechanism in Spring Boot project. This solution avoids repeated writing of verification logic for each enum type, improving code reusability and maintainability. We will explain in detail how to define a generic annotation that can accept an enumeration class as a parameter and implement a general validator that can dynamically verify the value of a string of arbitrary enumeration type, thereby simplifying enumeration field verification in DTO objects.
Sep 12, 2025 am 02:12 AM
Deeply understand Java generic type erasure and Class literal acquisition
Java generics remove specific type parameter information at compile time through type erasing, resulting in the inability to directly obtain generic type literals such as ArrayList.class. When running, ArrayList, etc. will be erased as the original type ArrayList. Therefore, only the original Class object of the generic class can be obtained. This article will elaborate on the principle of type erasing and its impact on Class literal acquisition to help developers understand this core mechanism.
Sep 12, 2025 am 01:33 AM
Quarkus Mutiny: The correct way to handle asynchronous requests
This article aims to help developers understand how to use Mutiny to handle asynchronous requests in Quarkus, especially when waiting for multiple requests to complete before proceeding with the next step. We will show you how to avoid blocking the main thread and how to correctly combine multiple Uni objects, ensuring that the final result is returned after all dependencies' asynchronous operations are completed. At the same time, it emphasizes the importance of avoiding await().indefinely and manual subscribe() in the Quarkus environment.
Sep 12, 2025 am 01:18 AM
Optimize array loops: Efficiently calculate the number of elements greater than or equal to the specified value
This article aims to provide an optimized method for traversing two arrays and calculating the number of elements in the first array greater than or equal to each element in the second array. The original method has a time complexity of O(n*m), and through sorting and binary search, the time complexity can be reduced to O(n log n m log n), significantly improving performance, especially when dealing with large data sets. The article will explain the algorithm principles in detail and provide Java sample code.
Sep 12, 2025 am 01:06 AM
The best data type in Java that represents currency data
This article discusses the data types that should be selected when processing currency data in Java. Since monetary data requires extremely high accuracy requirements, it is necessary to carefully select the data type to avoid potential loss of accuracy. This article will analyze options such as String, Long, and BigDecimal, and recommend the best BigDecimal type that is suitable for handling currency data, providing usage examples and considerations.
Sep 11, 2025 pm 08:06 PM
Strategies and practices for limiting output length of Java encryption
This article explores ways to encrypt variable-length text in Java and strictly limit the output length to less than 100 characters. Since encryption itself is not compressed, and modern cryptographic algorithms will introduce additional overhead such as IVs and authentication tags, direct encryption is difficult to meet the short output requirements. The tutorial will provide pre-encryption optimization (encoding and compression), minimizing ciphertext representation overhead, making full use of stored character sets, and segmented transmission strategies to balance security and length limitations.
Sep 11, 2025 pm 08:03 PM
Implement atomic reading of combined data in Java
This article aims to explore how to ensure the read consistency of multiple related data (for example, List, float[], and int) in concurrent environments in Java. In high concurrency scenarios, traditional synchronization locks may lead to performance bottlenecks. This article will introduce the use of ReadWriteLock and ConcurrentLinkedQueue to optimize the atomicity of data reading, and provide corresponding code examples and precautions.
Sep 11, 2025 pm 08:00 PM
Simulating Java function call chain: deep analysis and practice
This article aims to explain how to use the Mockito framework in Java to simulate complex function call chains, especially when the return value of one function is used as an argument to another function. Through example analysis, we will demonstrate how to simulate layer by layer, and finally achieve the purpose of simulating the entire expression, and provide code examples and precautions to help developers better understand and use Mockito.
Sep 11, 2025 pm 07:54 PM
Solve the problem of subquery counting in Spring Data JPA: Practice and considerations of native SQL
This article explores the challenge of efficiently counting complex query results involving GROUP BY and HAVING clauses in Spring Data JPA, especially when Hibernate 5 restricts the use of subqueries directly in FROM clauses. The article analyzes the limitations of the standard JPA method and proposes a native SQL-based solution that achieves accurate and efficient counting by constructing and executing native queries corresponding to the original JPA subquery logic, avoiding unnecessary data transmission and performance bottlenecks.
Sep 11, 2025 pm 07:51 PM
Efficiently search points within circular areas in two-dimensional dot matrix
This article details how to efficiently retrieve points in a circular pattern in a two-dimensional dot matrix. By combining distance calculation optimization and phased radius iteration, an animation effect such as diffusing from the center can be achieved. The article also explores the application of trigonometric functions in generating circular paths, and provides Java sample code and performance considerations, aiming to help developers implement complex UI animation and data retrieval functions.
Sep 11, 2025 pm 07:33 PM
Optimize DynamoDB large-scale data query: Understanding limitations and efficient strategies
This article explores the challenges faced when obtaining large amounts of data (such as hundreds of thousands of records) from DynamoDB, especially its 1MB single request data limit. We will analyze the inefficiency and inscalability of direct full-table scan (Scan) operations and provide a range of optimization strategies, including reevaluating business requirements, effectively utilizing paging mechanisms, optimizing query patterns, and alternative solutions for hyperscale data analysis scenarios, aiming to help developers build more performance and cost-effective DynamoDB applications.
Sep 11, 2025 pm 07:15 PM
Best practices for handling amount data types in Java
When processing amount data in Java, to avoid floating point accuracy issues, float and double should be avoided. For financial data that requires precise calculations, BigDecimal is the preferred data type, which can provide arbitrary precision and reliable arithmetic operations. In some scenarios, String can be used to temporarily store the original format, while Long can be used to store amounts expressed in minimum units.
Sep 11, 2025 pm 07:03 PM
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