golang 集成sentry：PostgreSQL

本文介绍通过 pgx库集成sentry， pgx 特点是速度快，可以完全控制，并且支持所有 postgres 数据类型。

pgx地址： https://github.com/jackc/pgx

最简单的接入方式是自定义一个logger， 然后注入到pgx， 完整示例如下

package mainimport ("context""log""os""time""github.com/getsentry/sentry-go""github.com/jackc/pgx/v4""github.com/jackc/pgx/v4/log/logrusadapter""github.com/jackc/pgx/v4/pgxpool""github.com/sirupsen/logrus"
)// TracingLogger does two things at once, logging and tracing
type TracingLogger struct {logger *logrusadapter.Logger
}func NewTracingLogger(logger logrus.FieldLogger) *TracingLogger {return &TracingLogger{logger: logrusadapter.NewLogger(logger)}
}func (l *TracingLogger) Log(ctx context.Context, level pgx.LogLevel, msg string, data map[string]interface{}) {l.logger.Log(ctx, level, msg, data)span := sentry.StartSpan(ctx, "postgres "+msg)defer span.Finish()if data != nil {if span.Data == nil {span.Data = make(map[string]interface{})}for key, value := range data {value, ok := value.(string)if ok {span.Data[key] = value}}// since this method is called after a query is done,// we need to correct span start timeexecTime, ok := data["time"].(time.Duration)if ok {span.StartTime = time.Now().Add(-execTime)}}
}func main() {err := sentry.Init(sentry.ClientOptions{Debug:              true,Dsn:                "https://a5eac4fa3396cbfac8fb4baa6a9c03a3@o4504291071688704.ingest.sentry.io/4506715873804288",AttachStacktrace:   true,EnableTracing:      true,SampleRate:         1.0,TracesSampleRate:   1.0,ProfilesSampleRate: 1.0,})if err != nil {log.Fatalf("sentry.Init: %s", err)}defer sentry.Flush(2 * time.Second)config, err := pgxpool.ParseConfig(os.Getenv("DATABASE_URL"))if err != nil {log.Fatal(err)}logger := logrus.New()config.ConnConfig.Logger = NewTracingLogger(logger)conn, err := pgxpool.ConnectConfig(ctx, config)if err != nil {log.Fatal(err)}defer conn.Close()ctx := context.Background()tx := sentry.StartTransaction(ctx, "test_pgx")defer tx.Finish()ctx = tx.Context()err = conn.QueryRow(ctx, "SELECT 1").Scan()if err != nil {log.Fatal(err)}
}

参考：
https://anymindgroup.com/news/tech-blog/15724/