What does the go run command do?

gorun is a command for quickly compiling and executing Go programs. 1. It completes compilation and running in one step, generates temporary executable files and deletes them after the program is finished; 2. It is suitable for independent programs containing main functions, which are easy to develop and test; 3. It supports multi-file operation, and can be executed through gorun*.go or lists all files; 4. It automatically processes dependencies and uses the module system to parse external packages; 5. It is not suitable for libraries or packages, and does not generate persistent binary files. Therefore, it is suitable for rapid testing during scripts, learning and frequent modifications. It is an efficient and concise way of running.

To connect to SQL databases in Go, you need to use the database/sql package and a specific database driver. 1. Import database/sql packages and drivers (such as github.com/go-sql-driver/mysql), note that underscores before the drivers indicate that they are only used for initialization; 2. Use sql.Open("mysql","user:password@tcp(localhost:3306)/dbname") to create a database handle, and call db.Ping() to verify the connection; 3. Use db.Query() to execute query, and db.Exec() to execute

Using structured logging, adding context, controlling log levels, avoiding logging sensitive data, using consistent field names, correctly logging errors, taking into account performance, centrally monitoring logs and unifying configurations are best practices in Go to achieve efficient logging. First, structured logs in JSON format (such as using uber-go/zap or rs/zerolog) facilitate machine parsing and integrating ELK, Datadog and other tools; second, log traceability is enhanced by requesting context information such as ID and user ID, and can be injected through context.Context or HTTP middleware; third, use Debug, Info, Warn, Error levels reasonably, and operate through environment variables.

Usesignal.Notify()tolistenforSIGINT/SIGTERMandtriggershutdown;2.RuntheHTTPserverinagoroutineandblockuntilasignalisreceived;3.Callserver.Shutdown()withacontexttimeouttostopacceptingnewrequestsandallowin-flightonestocomplete;4.Propagatetheshutdownconte

InGo,atypeimplementsaninterfaceimplicitlybyprovidingallrequiredmethodswithoutexplicitdeclaration.1.Interfacesaresatisfiedautomaticallywhenatypehasmethodsmatchingtheinterface'ssignatureexactly.2.No"implements"keywordisneeded—ducktypingisused

Parsing XML data is very simple in Go, just use the built-in encoding/xml package. 1. Define a structure with xml tag to map XML elements and attributes, such as xml:"name" corresponding child elements, xml:"contact>email" handles nesting, xml:"id, attr" reads attributes; 2. Use xml.Unmarshal to parse XML strings into structures; 3. For files, use os.Open to open them and decode them through xml.NewDecoder, which is suitable for streaming processing of large files; 4. When processing duplicate elements, in the structure

Usetime.Now()togetthecurrentlocaltimeasatime.Timeobject;2.FormatthetimeusingtheFormatmethodwithlayoutslike"2006-01-0215:04:05";3.GetUTCtimebycallingUTC()ontheresultoftime.Now();4.Extractcomponentslikeyear,month,dayusingmethodssuchasYear(),M

In Go, creating and using custom error types can improve the expressiveness and debugability of error handling. The answer is to create a custom error by defining a structure that implements the Error() method. For example, ValidationError contains Field and Message fields and returns formatted error information. The error can then be returned in the function, detecting specific error types through type assertions or errors.As to execute different logic. You can also add behavioral methods such as IsCritical to custom errors, which are suitable for scenarios that require structured data, differentiated processing, library export or API integration. In simple cases, errors.New, and predefined errors such as ErrNotFound can be used for comparable