package xugu import ( "database/sql/driver" "encoding/binary" "fmt" "io" "math" "reflect" "time" ) type xuguRows struct { rows_conn *xuguConn results *SelectResult colIdx int prepared bool } func (row *xuguRows) Next(dest []driver.Value) error { gt("Next()") defer gt("Next() end") if row.results.rowIdx >= len(row.results.Values[0]) { //return errors.New("The result set has been released") return io.EOF } // fmt.Println(" -- int(row.results.Field_Num)", int(row.results.Field_Num)) for j := 0; j < int(row.results.Field_Num); j++ { coluType := row.results.Fields[j].FieldType //fmt.Println(" --coluType: ", coluType, row.results.Fields[j].typeDatabaseName()) switch coluType { case fieldType_BINARY, fieldType_CLOB, fieldType_BLOB: dest[j] = row.results.Values[j][row.results.rowIdx].Col_Data case fieldType_INTERVAL_Y, fieldType_INTERVAL_M, fieldType_INTERVAL_D, fieldType_INTERVAL_H,fieldType_INTERVAL_S, fieldType_INTERVAL_MI: dest[j] = binary.BigEndian.Uint32(row.results.Values[j][row.results.rowIdx].Col_Data) case fieldType_TIME, fieldType_TIME_TZ, fieldType_DATE: tv, _ := time.Parse("15:04:05", string(row.results.Values[j][row.results.rowIdx].Col_Data)) dest[j] = tv case fieldType_DATETIME, fieldType_DATETIME_TZ: if len(row.results.Values[j][row.results.rowIdx].Col_Data) == 0 { dest[j] = nil } else { //timeTmp := binary.LittleEndian.Uint64(reverseBytes(row.results.Values[j][row.results.rowIdx].Col_Data) timeTmp := binary.BigEndian.Uint64(row.results.Values[j][row.results.rowIdx].Col_Data) //tv, _ := time.Parse("2006-01-02 15:04:05", string(reverseBytes(row.results.Values[j][row.results.rowIdx].Col_Data))) tv := time.Unix(0, int64(timeTmp)*1000000) utcTime := tv.UTC() dest[j] = utcTime } case fieldType_R4: dest[j] = math.Float32frombits(binary.BigEndian.Uint32(row.results.Values[j][row.results.rowIdx].Col_Data)) fmt.Println("float ", dest[j]) case fieldType_R8: dest[j] = math.Float64frombits(binary.BigEndian.Uint64(row.results.Values[j][row.results.rowIdx].Col_Data)) fmt.Println(" dest[j] r8", dest[j]) case fieldType_NUM: dest[j] = row.results.Values[j][row.results.rowIdx].Col_Data case fieldType_I1: dest[j] = int8(row.results.Values[j][row.results.rowIdx].Col_Data[0]) case fieldType_I2: dest[j] = int16(binary.BigEndian.Uint16(row.results.Values[j][row.results.rowIdx].Col_Data)) case fieldType_I4: dest[j] = binary.BigEndian.Uint32(row.results.Values[j][row.results.rowIdx].Col_Data) case fieldType_I8: dest[j] = int64(binary.BigEndian.Uint64(row.results.Values[j][row.results.rowIdx].Col_Data)) //dest[j] = row.results.Values[j][row.results.rowIdx].Col_Data case fieldType_CHAR, fieldType_NCHAR: dest[j] = string(row.results.Values[j][row.results.rowIdx].Col_Data) default: //填入一行的数据 //TODO这里长度改为一行长度 dest[j] = make([]byte, len(row.results.Values)) // Values[字段][0] dest[j] = row.results.Values[j][row.results.rowIdx].Col_Data } } row.results.rowIdx++ return nil } // Columns返回列的名字集,它的个数是从slice的长度中推断出来的。 // 如果不知道特定的列名,应该为该条目返回一个空的字符串 func (row *xuguRows) Columns() []string { gt("Columns()") defer gt("Columns() end") var columns []string for _, v := range row.results.Fields { columns = append(columns, v.FieldName) } return columns } func (row *xuguRows) ColumnTypeScanType(index int) reflect.Type { fmt.Println(">>>>>ColumnTypeScanType ") return row.results.Fields[index].scanType() } func (self *xuguRows) Close() error { fmt.Println(">>>>>((self *xuguRows) Close() ") return nil }