内容简介:redis mysql 连接池 之 golang 实现
分享一下 golang 实现的 redis 和 mysql 连接池,可以在项目中直接引用连接池句柄,调用对应的方法。
举个栗子:
1 mysql 连接池的使用
(1) 在项目子目录放置 mysql.go
(2)在需要调用的地方导入连接池句柄 DB
(3)调用 DB.Query()
2 redis 连接池的使用
(1)在项目子目录放置 redis.go
(2)在需要调用的地方导入连接池句柄 Cache
(3)调用 Cache.SetString (“test_key”, “test_value”)
最新代码地址:
https://github.com/hopehook/golang-db
附件:
1 mysql 连接池代码
package lib import ( "database/sql" "fmt" "strconv" "github.com/arnehormann/sqlinternals/mysqlinternals" _ "github.com/go-sql-driver/mysql" ) var MYSQL map[string]string = map[string]string{ "host": "127.0.0.1:3306", "database": "", "user": "", "password": "", "maxOpenConns": "0", "maxIdleConns": "0", } type SqlConnPool struct { DriverName string DataSourceName string MaxOpenConns int64 MaxIdleConns int64 SqlDB *sql.DB // 连接池 } var DB *SqlConnPool func init() { dataSourceName := fmt.Sprintf("%s:%s@tcp(%s)/%s", MYSQL["user"], MYSQL["password"], MYSQL["host"], MYSQL["database"]) maxOpenConns, _ := strconv.ParseInt(MYSQL["maxOpenConns"], 10, 64) maxIdleConns, _ := strconv.ParseInt(MYSQL["maxIdleConns"], 10, 64) DB = &SqlConnPool{ DriverName: "mysql", DataSourceName: dataSourceName, MaxOpenConns: maxOpenConns, MaxIdleConns: maxIdleConns, } if err := DB.open(); err != nil { panic("init db failed") } } // 封装的连接池的方法 func (p *SqlConnPool) open() error { var err error p.SqlDB, err = sql.Open(p.DriverName, p.DataSourceName) p.SqlDB.SetMaxOpenConns(int(p.MaxOpenConns)) p.SqlDB.SetMaxIdleConns(int(p.MaxIdleConns)) return err } func (p *SqlConnPool) Close() error { return p.SqlDB.Close() } func (p *SqlConnPool) Query(queryStr string, args ...interface{}) ([]map[string]interface{}, error) { rows, err := p.SqlDB.Query(queryStr, args...) defer rows.Close() if err != nil { return []map[string]interface{}{}, err } // 返回属性字典 columns, err := mysqlinternals.Columns(rows) // 获取字段类型 scanArgs := make([]interface{}, len(columns)) values := make([]sql.RawBytes, len(columns)) for i, _ := range values { scanArgs[i] = &values[i] } rowsMap := make([]map[string]interface{}, 0, 10) for rows.Next() { rows.Scan(scanArgs...) rowMap := make(map[string]interface{}) for i, value := range values { rowMap[columns[i].Name()] = bytes2RealType(value, columns[i].MysqlType()) } rowsMap = append(rowsMap, rowMap) } if err = rows.Err(); err != nil { return []map[string]interface{}{}, err } return rowsMap, nil } func (p *SqlConnPool) execute(sqlStr string, args ...interface{}) (sql.Result, error) { return p.SqlDB.Exec(sqlStr, args...) } func (p *SqlConnPool) Update(updateStr string, args ...interface{}) (int64, error) { result, err := p.execute(updateStr, args...) if err != nil { return 0, err } affect, err := result.RowsAffected() return affect, err } func (p *SqlConnPool) Insert(insertStr string, args ...interface{}) (int64, error) { result, err := p.execute(insertStr, args...) if err != nil { return 0, err } lastid, err := result.LastInsertId() return lastid, err } func (p *SqlConnPool) Delete(deleteStr string, args ...interface{}) (int64, error) { result, err := p.execute(deleteStr, args...) if err != nil { return 0, err } affect, err := result.RowsAffected() return affect, err } type SqlConnTransaction struct { SqlTx *sql.Tx // 单个事务连接 } //// 开启一个事务 func (p *SqlConnPool) Begin() (*SqlConnTransaction, error) { var oneSqlConnTransaction = &SqlConnTransaction{} var err error if pingErr := p.SqlDB.Ping(); pingErr == nil { oneSqlConnTransaction.SqlTx, err = p.SqlDB.Begin() } return oneSqlConnTransaction, err } // 封装的单个事务连接的方法 func (t *SqlConnTransaction) Rollback() error { return t.SqlTx.Rollback() } func (t *SqlConnTransaction) Commit() error { return t.SqlTx.Commit() } func (t *SqlConnTransaction) Query(queryStr string, args ...interface{}) ([]map[string]interface{}, error) { rows, err := t.SqlTx.Query(queryStr, args...) defer rows.Close() if err != nil { return []map[string]interface{}{}, err } // 返回属性字典 columns, err := mysqlinternals.Columns(rows) // 获取字段类型 scanArgs := make([]interface{}, len(columns)) values := make([]sql.RawBytes, len(columns)) for i, _ := range values { scanArgs[i] = &values[i] } rowsMap := make([]map[string]interface{}, 0, 10) for rows.Next() { rows.Scan(scanArgs...) rowMap := make(map[string]interface{}) for i, value := range values { rowMap[columns[i].Name()] = bytes2RealType(value, columns[i].MysqlType()) } rowsMap = append(rowsMap, rowMap) } if err = rows.Err(); err != nil { return []map[string]interface{}{}, err } return rowsMap, nil } func (t *SqlConnTransaction) execute(sqlStr string, args ...interface{}) (sql.Result, error) { return t.SqlTx.Exec(sqlStr, args...) } func (t *SqlConnTransaction) Update(updateStr string, args ...interface{}) (int64, error) { result, err := t.execute(updateStr, args...) if err != nil { return 0, err } affect, err := result.RowsAffected() return affect, err } func (t *SqlConnTransaction) Insert(insertStr string, args ...interface{}) (int64, error) { result, err := t.execute(insertStr, args...) if err != nil { return 0, err } lastid, err := result.LastInsertId() return lastid, err } func (t *SqlConnTransaction) Delete(deleteStr string, args ...interface{}) (int64, error) { result, err := t.execute(deleteStr, args...) if err != nil { return 0, err } affect, err := result.RowsAffected() return affect, err } // others func bytes2RealType(src []byte, columnType string) interface{} { srcStr := string(src) var result interface{} switch columnType { case "TINYINT": fallthrough case "SMALLINT": fallthrough case "INT": fallthrough case "BIGINT": result, _ = strconv.ParseInt(srcStr, 10, 64) case "CHAR": fallthrough case "VARCHAR": fallthrough case "BLOB": fallthrough case "TIMESTAMP": fallthrough case "DATETIME": result = srcStr case "FLOAT": fallthrough case "DOUBLE": fallthrough case "DECIMAL": result, _ = strconv.ParseFloat(srcStr, 64) default: result = nil } return result }
2 redis 连接池代码
package lib import ( "strconv" "time" "github.com/garyburd/redigo/redis" ) var REDIS map[string]string = map[string]string{ "host": "127.0.0.1:6379", "database": "0", "password": "", "maxOpenConns": "0", "maxIdleConns": "0", } var Cache *RedisConnPool type RedisConnPool struct { redisPool *redis.Pool } func init() { Cache = &RedisConnPool{} maxOpenConns, _ := strconv.ParseInt(REDIS["maxOpenConns"], 10, 64) maxIdleConns, _ := strconv.ParseInt(REDIS["maxIdleConns"], 10, 64) database, _ := strconv.ParseInt(REDIS["database"], 10, 64) Cache.redisPool = newPool(REDIS["host"], REDIS["password"], int(database), int(maxOpenConns), int(maxIdleConns)) if Cache.redisPool == nil { panic("init redis failed!") } } func newPool(server, password string, database, maxOpenConns, maxIdleConns int) *redis.Pool { return &redis.Pool{ MaxActive: maxOpenConns, // max number of connections MaxIdle: maxIdleConns, IdleTimeout: 10 * time.Second, Dial: func() (redis.Conn, error) { c, err := redis.Dial("tcp", server) if err != nil { return nil, err } if _, err := c.Do("AUTH", password); err != nil { c.Close() return nil, err } if _, err := c.Do("select", database); err != nil { c.Close() return nil, err } return c, err }, TestOnBorrow: func(c redis.Conn, t time.Time) error { _, err := c.Do("PING") return err }, } } // 关闭连接池 func (p *RedisConnPool) Close() error { err := p.redisPool.Close() return err } // 当前某一个数据库,执行命令 func (p *RedisConnPool) Do(command string, args ...interface{}) (interface{}, error) { conn := p.redisPool.Get() defer conn.Close() return conn.Do(command, args...) } //// String(字符串) func (p *RedisConnPool) SetString(key string, value interface{}) (interface{}, error) { conn := p.redisPool.Get() defer conn.Close() return conn.Do("SET", key, value) } func (p *RedisConnPool) GetString(key string) (string, error) { // 从连接池里面获得一个连接 conn := p.redisPool.Get() // 连接完关闭,其实没有关闭,是放回池里,也就是队列里面,等待下一个重用 defer conn.Close() return redis.String(conn.Do("GET", key)) } func (p *RedisConnPool) GetBytes(key string) ([]byte, error) { conn := p.redisPool.Get() defer conn.Close() return redis.Bytes(conn.Do("GET", key)) } func (p *RedisConnPool) GetInt(key string) (int, error) { conn := p.redisPool.Get() defer conn.Close() return redis.Int(conn.Do("GET", key)) } func (p *RedisConnPool) GetInt64(key string) (int64, error) { conn := p.redisPool.Get() defer conn.Close() return redis.Int64(conn.Do("GET", key)) } //// Key(键) func (p *RedisConnPool) DelKey(key string) (interface{}, error) { conn := p.redisPool.Get() defer conn.Close() return conn.Do("DEL", key) } func (p *RedisConnPool) ExpireKey(key string, seconds int64) (interface{}, error) { conn := p.redisPool.Get() defer conn.Close() return conn.Do("EXPIRE", key, seconds) } func (p *RedisConnPool) Keys(pattern string) ([]string, error) { conn := p.redisPool.Get() defer conn.Close() return redis.Strings(conn.Do("KEYS", pattern)) } func (p *RedisConnPool) KeysByteSlices(pattern string) ([][]byte, error) { conn := p.redisPool.Get() defer conn.Close() return redis.ByteSlices(conn.Do("KEYS", pattern)) } //// Hash(哈希表) func (p *RedisConnPool) SetHashMap(key string, fieldValue map[string]interface{}) (interface{}, error) { conn := p.redisPool.Get() defer conn.Close() return conn.Do("HMSET", redis.Args{}.Add(key).AddFlat(fieldValue)...) } func (p *RedisConnPool) GetHashMapString(key string) (map[string]string, error) { conn := p.redisPool.Get() defer conn.Close() return redis.StringMap(conn.Do("HGETALL", key)) } func (p *RedisConnPool) GetHashMapInt(key string) (map[string]int, error) { conn := p.redisPool.Get() defer conn.Close() return redis.IntMap(conn.Do("HGETALL", key)) } func (p *RedisConnPool) GetHashMapInt64(key string) (map[string]int64, error) { conn := p.redisPool.Get() defer conn.Close() return redis.Int64Map(conn.Do("HGETALL", key)) }
以上就是本文的全部内容,希望本文的内容对大家的学习或者工作能带来一定的帮助,也希望大家多多支持 码农网
猜你喜欢:- php实现mysql连接池效果实现代码
- java并发实战:连接池实现
- Django+Vue实现WebSocket连接
- 实现WebRTC P2P连接
- Swoole MySQL 连接池的实现
- Swoole Redis 连接池的实现
本站部分资源来源于网络,本站转载出于传递更多信息之目的,版权归原作者或者来源机构所有,如转载稿涉及版权问题,请联系我们。
iOS应用逆向工程 第2版
沙梓社、吴航 / 机械工业出版社 / 2015-4-1 / 79.00
你是否曾因应用上线的第一天即遭破解而无奈苦恼,想要加以防范,却又束手无策? 你是否曾为某一应用深深折服,想要借鉴学习,却又无从下手? 你是否已不满足于public API,想要进军Cydia开发,却又求学无门? 你是否已产生“不识Apple真面目,只缘身在App Store中”的危机感,想要通过阅读来一窥这冰山一角外的整个北极,却又找不到合适的书? 你是否已经因无法跨越开发......一起来看看 《iOS应用逆向工程 第2版》 这本书的介绍吧!