Revealing five advantages of the Spring Boot framework

In Java 8, you recommend using the classes in the java.time package; 1. Get the full date and time to use LocalDateTime.now(); 2. Get the date only with LocalDate.now(); 3. Get the time only with LocalTime.now(); 4. Format output needs to be matched with DateTimeFormatter; 5. Specify the time zone and pass the ZoneId parameters, such as ZoneId.of("Asia/Shanghai"); these are more intuitive, thread-safe and easier to use than the old Date and Calendar.

To understand Javabytecode, you can use the JDK-provided Javap tool to disassemble the bytecode to view the bytecode; 1. Use javac to compile the class file and view the method instruction list through the javap-c command; 2. Understand the stack-based bytecode structure and the operating mechanisms of common instructions such as iconst, store, iload, iadd, etc.; 3. You can use graphical tools such as BytecodeViewer or IDE plug-in to assist in analyzing the class structure and field information; 4. Pay attention to the actual conversion form of Java syntax sugar in bytecode, such as switch string support, try-with-resources and lambda expressions. Mastering these key points is helpful

A common way to sort arrays in Java is to use Arrays.sort(). For basic data type arrays, such as int[] or double[], call Arrays.sort() directly to achieve ascending sort; if you need to sort in descending order, you need to use a wrapper class (such as Integer) and pass it into the Collections.reverseOrder() comparator. String arrays are sorted in dictionary order by default, and case-insensitive sorting can be achieved through String.CASE_INSENSITIVE_ORDER. When sorting custom object arrays, you need to make the class implement a Comparable interface or provide a Comparator, for example, according to Pe

To develop blockchain in Java, the focus is on smart contract interaction and distributed ledger technology (DLT) applications. 1. Although Java does not directly write smart contracts, HyperledgerFabric's Chaincode can be called through SDK (such as fabric-gateway-java); 2. Java is suitable for building intermediate-layer services based on HyperledgerFabric and Corda, supporting business logic encapsulation, permission control, etc.; 3. During development, you need to pay attention to key details such as SDK version matching, identity authentication configuration, log debugging and performance optimization. By mastering these key points, Java developers can effectively carry out their work in enterprise-level blockchain projects.

Understand core components: Producers publish events to Topics, Consumers subscribe and process events, KafkaBroker manages message storage and delivery; 2. Locally build Kafka: Use Docker to quickly start ZooKeeper and Kafka services, expose port 9092; 3. Java integration Kafka: introduce kafka-clients dependencies, or use SpringKafka to improve development efficiency; 4. Write Producer: configure KafkaProducer to send JSON format order events to orders topic; 5. Write Consumer: Subscribe to o through KafkaConsumer

Master the core data structure and its applicable scenarios, such as the selection of HashMap and TreeMap, and the expansion mechanism of ArrayList; 2. Practice algorithms from the Java perspective, proficient in double pointer, sliding window, DFS/BFS and other modes and can be clearly implemented; 3. Write clean and robust Java code, pay attention to naming, boundary processing and language features (such as generics and final); 4. Prepare the practical question of "why use Java" and understand the impact of StringBuilder, GC, etc. on performance; maintain practice and clear expression to stand out.

The core points of using Java and Kafka to implement event-driven architecture include: 1. Design a clear event model, use Avro SchemaRegistry to manage structure changes, unify naming specifications and include necessary information; 2. Set reliability parameters, asynchronous sending and log callbacks when building producers, and consumers use Group to achieve expansion, control offset submission and idempotence processing; 3. Use KafkaStreams to implement real-time processing logic, such as window aggregation statistics; 4. Design an error retry mechanism, catch exceptions and retry failure messages, use DLQ to handle multiple failure events, and improve system robustness.

The Builder mode solves the problem of too many construct parameters and mutability by building complex objects in step by step; 2. When implementing, set the class to final and initialize the fields through Builder in a private construct; 3. Create a static internal Builder class, and each setting method returns this to support chain calls; 4. Verify the required fields in build() to ensure object consistency; 5. Applicable to multiple parameters, especially objects with optional parameters, to improve readability and maintenance, and avoid telescoping constructors or destroying immutability setters.