Talk about Golang's HTTP forwarding technology

In Go, selecting buffered or unbufferedchannel depends on whether synchronous communication is required. 1.Unbufferedchannel is used for strict synchronization, and sending and receiving operations are blocked by each other, suitable for scenarios such as task chains, handshakes, real-time notifications; 2. Bufferedchannel allows asynchronous processing, the sender only blocks when the channel is full, and the receiver blocks when the channel is empty, suitable for scenarios such as producer-consumer model, concurrency control, data flow buffering, etc.; 3. When choosing, it should be decided one by one based on whether the sending and receiving needs to be sent. If the task must be processed immediately, use unbuffered, and use buffered if queueing or parallel processing is allowed. master

TohandleagracefulshutdowninaGoHTTPserver,listenforsignalslikeSIGINTorSIGTERM,usetheShutdown()methodwithatimeout,ensuremiddlewareandbackgroundtaskscloseproperly,andtestthelogic.First,setupachanneltoreceiveOSsignalsviasignal.Notify.Second,uponreceiving

Stack allocation is suitable for small local variables with clear life cycles, and is automatically managed, with fast speed but many restrictions; heap allocation is used for data with long or uncertain life cycles, and is flexible but has a performance cost. The Go compiler automatically determines the variable allocation position through escape analysis. If the variable may escape from the current function scope, it will be allocated to the heap. Common situations that cause escape include: returning local variable pointers, assigning values to interface types, and passing in goroutines. The escape analysis results can be viewed through -gcflags="-m". When using pointers, you should pay attention to the variable life cycle to avoid unnecessary escapes.

Static analysis improves code quality through early detection of problems in Go language projects. 1. Use govet, gofmt and other standard tools to detect errors and unified styles, and integrate them into the CI process to avoid low-level errors. 2. Introduce third-party tools such as golangci-lint to enhance inspection capabilities, support flexible configuration integration with CI, and find problems such as unused functions and improper error handling. 3. Combined with editors such as VSCode and GoLand to achieve real-time feedback, improve the efficiency of problem discovery in the coding stage, and thus improve the overall project maintainability and collaboration efficiency.

Kafka and Go are combined to build high-throughput, scalable event-driven systems. Kafka provides persistent message storage and consumer group support. Go achieves efficient concurrent processing through goroutine; 2. Core components include producers (using sarama to send structured events to topics), consumers (using consumer groups to parallelize and process events), and topics and partitioning mechanisms based on business domain design; 3. Best practices include: using structured event formats such as JSON or Protobuf to ensure data consistency, implementing a retry mechanism with exponential backoff to deal with temporary failures, using consumer groups to achieve horizontal scaling, monitoring consumption lag to ensure real-time, and processing messages through asynchronous non-blocking methods to avoid blocking

Use pgx driver to replace lib/pq for better performance and maintenance support; 2. Properly configure the connection pool (SetMaxOpenConns, SetMaxIdleConns, etc.) to avoid resource exhaustion; 3. Use pgx.NamedArgs to achieve clear and secure named parameter query; 4. Use sql.NullString or pointer to correctly handle NULL values; 5. Always defertx.Rollback() in transactions to prevent connection leakage during errors; 6. Stick to use placeholder parameters to prevent SQL injection; 7. You can directly use pgx native interface to improve efficiency in high-performance scenarios.

Panic is like a program "heart attack" in Go. Recover can be used as a "first aid tool" to prevent crashes, but Recover only takes effect in the defer function. 1.recover is used to avoid service lapse, log logs, and return friendly errors. 2. It must be used in conjunction with defer and only takes effect on the same goroutine. The program does not return to the panic point after recovery. 3. It is recommended to use it at the top level or critical entrance, and do not abuse it, and give priority to using error processing. 4. The common pattern is to encapsulate safeRun functions to wrap possible panic logic. Only by mastering its usage scenarios and limitations can it play its role correctly.

Five key points need to be paid attention to in the practice of EventSourcing and DDD in Go. 1. The event structure should be clear and stable. The field naming uses past tense, including the aggregate root ID, timestamp, event type and payload, and the version number is added to support expansion; 2. The aggregate root is separated from event storage, abstract event reading and writing through the warehousing interface, and the aggregate root only processes commands and generates events; 3. The query model adopts the CQRS mode, subscribes to the optimized data structure after the event stream is updated and optimized to improve query efficiency; 4. Event replay needs to ensure order and idempotence, and it is recommended to introduce a snapshot mechanism to accelerate state reconstruction; 5. The basic solution can be built by structures and interfaces on Go implementation, focusing on event design, logical isolation and read and write model separation.