1.背景
最近写了个监听文件、上传文件的工具,其实可以使用FileSystemWatcher 类实现,但是FileSystemWatcher 类对于同一时间监听多个文件变化的场景不太友好,
容易丢失监听变化的数据(此问题是FileSystemWatcher 依赖于系统的Buffer缓冲区大小,而这个大小是有限的,大数据量涌进造成泄露)。FileSystemWatcher 内容参考:
<a>https://docs.microsoft.com/zh-cn/dotnet/api/system.io.filesystemwatcher?view=net-6.0</a>
所以我自己通过hangfire的延时任务实现了定时监听上传的工具
var jobId = BackgroundJob.Schedule( () => Console.WriteLine("Delayed!"), TimeSpan.FromDays(7));
核心处理逻辑则是通过当前扫描的文件信息与上次结果做对比,只有文件大小不再发生变化,或者在上次上传后又再次修改的文件才符合上传的规则,而文件的信息需要保存。
2.文件存储技术选型
拍脑子一想,有这么几个选型:
1)内存
2)文件(json、txt)
3)嵌入式数据库
做一下分析:内存不靠谱,容易丢数据;文件操作太麻烦,不利于检索写入;那就只剩下嵌入式数据库了,一搜嵌入式数据库也有很多,也就是咱们这次分享的主角:access 与 sqlite
3.access数据库
通过依赖nuget:System.Data.OleDb; 然后写一个Repo方法即可:
public static class FileInfoRepository { private static OleDbConnection conn = new OleDbConnection ($"Provider= Microsoft.ACE.OLEDB.12.0;Jet OLEDB:DataBase Password=;Data Source={AppDomain.CurrentDomain.BaseDirectory}Db\\mydb.accdb;"); /// <summary> /// 根据sql查询文件信息,返回实体 /// </summary> /// <param name="querySql"></param> /// <returns></returns> public static MonitorFileInfoModel GetByFileId(string querySql) { OleDbDataAdapter inst = new OleDbDataAdapter(); //实例化 SelectSQL(querySql, ref inst); //执行查询方法 DataTable dt = new DataTable(); //创建DataTable inst.Fill(dt); conn.Close(); IList<MonitorFileInfoModel> res = DataTableHelper.ConvertTo<MonitorFileInfoModel>(dt); return res.FirstOrDefault(); } public static bool WriteEntity(string writeSql) { var res = WriteSQL(writeSql); conn.Close(); return res; } /// <summary> /// 执行查找语句 /// </summary> /// <param name="sql">要执行的语句</param> /// <returns></returns> private static void SelectSQL(string sql, ref OleDbDataAdapter inst) { try { Open(); inst = new OleDbDataAdapter(sql, conn); } catch (Exception ex) { LogHelper.Error($"SelectSQL 发生错误:{ex.Message}"); } } /// <summary> /// 执行添加、删除、更新语句,判断是否成功 /// </summary> /// <param name="sql">要执行的sql语句</param> /// <returns>成功则返回True</returns> public static bool WriteSQL(string sql) { try { Open(); //调用连接 OleDbCommand cmd = new OleDbCommand(); cmd = new OleDbCommand(sql, conn); if (cmd.ExecuteNonQuery() > 0) //判断是否执行 { cmd.Parameters.Clear(); //清空sql语句 return true; } else { return false; } } catch (Exception ex) { LogHelper.Error($"WriteSQL 发生错误:{ex.Message}"); return false; } } /// <summary> /// 是否连接数据库,连接成功则返回True /// </summary> private static bool Open() { try { conn.Open(); return conn.State == System.Data.ConnectionState.Open; //判断是否打开 } catch (Exception ex) { LogHelper.Error($"Open 发生错误:{ex.Message}"); return false; } } }
这种方式操作数据没有问题,但是有个不好的地方,需要在电脑上安装access database,还要依赖office(如上我写的driver,需要安装office2007+)
参考:https://docs.microsoft.com/en-us/previous-versions/troubleshoot/winautomation/support-tips/databases/ace-oledb-12-0-provider-not-registered-on-local-machine
4.sqlite数据库
1)通过下载https://sqlite.org/download.html
在E盘software文件夹下解压,然后将dll解压后的文件放在tools下,进入文件夹cmd,执行命令sqlite3 my.db
然后通过Navicat连接这个db文件,然后设计表与字段。
2)操作sqlite代码
增加依赖nuget: System.Data.SQLite
public class FileInfoRepository { private object lockThis = new object(); private static string connectStr = $"Data Source = {AppDomain.CurrentDomain.BaseDirectory}Db\\file_monitor.db; Version=3;Pooling=true;FailIfMissing=false;Journal Mode=WAL"; /// <summary> /// 根据fileId查询文件信息,返回实体 /// </summary> /// <param name="fileId"></param> /// <returns></returns> public MonitorFileInfoDb GetByFileId(string fileId) { string sql = $"select * from file_info where fileId = '{fileId}'"; try { lock (lockThis) { using (SQLiteConnection connection = new SQLiteConnection(connectStr)) { connection.Open(); using (SQLiteCommand command = new SQLiteCommand(sql, connection)) { SQLiteDataReader reader = command.ExecuteReader(); while (reader.Read()) { long size = reader["size"] == null ? 0 : (long)reader["size"]; string uploadTime = reader["uploadTime"] == null ? DateTime.MinValue.ToString("yyyy-MM-dd HH:mm:ss") : reader["uploadTime"].ToString(); MonitorFileInfoDb result = new MonitorFileInfoDb { fileId = fileId, size = size, uploadTime = uploadTime }; return result; } reader.Close(); } } } } catch (Exception ex) { LogHelper.Error($"---执行GetByFileId异常:{JsonConvert.SerializeObject(ex)}"); } return null; } /// <summary> /// 新增文件信息 /// </summary> /// <param name="fileId"></param> /// <param name="size"></param> /// <returns></returns> public bool AddEntity(string fileId,long size) { string uploadTime = DateTime.MinValue.ToString("yyyy-MM-dd HH:mm:ss"); string sql = $"insert into file_info (fileId, size, uploadTime) values ('{fileId}',{size},'{uploadTime}')"; try { return ExecuteNonQuery(sql); } catch (Exception ex) { LogHelper.Error($"---执行AddEntity异常:{JsonConvert.SerializeObject(ex)}"); } return false; } /// <summary> /// 修改实体Size值 /// </summary> /// <param name="entity"></param> /// <returns></returns> public bool UpdateEntitySize(string fileId, long size) { string sql = $"update file_info set size = {size} where fileId='{fileId}'"; try { return ExecuteNonQuery(sql); } catch (Exception ex) { LogHelper.Error($"---执行UpdateEntitySize异常:{JsonConvert.SerializeObject(ex)}"); } return false; } /// <summary> /// 修改实体UploadTime值 /// </summary> /// <param name="entity"></param> /// <returns></returns> public bool UpdateEntityUploadTime(string fileId, DateTime uploadTime) { string sql = $"update file_info set uploadTime = '{uploadTime.ToString("yyyy-MM-dd HH:mm:ss")}' where fileId='{fileId}'"; try { return ExecuteNonQuery(sql); } catch (Exception ex) { LogHelper.Error($"---执行UpdateEntityUploadTime异常:{JsonConvert.SerializeObject(ex)}"); } return false; } /// <summary> /// 执行sql /// </summary> /// <param name="sql"></param> /// <returns></returns> private bool ExecuteNonQuery(string sql) { try { lock (lockThis) { using (SQLiteConnection connection = new SQLiteConnection(connectStr)) { connection.Open(); using (SQLiteCommand command = new SQLiteCommand(sql, connection)) { int effectCount = command.ExecuteNonQuery(); if (effectCount > 0) { return true; } } } } } catch (Exception ex) { LogHelper.Error($"---执行ExecuteNonQuery异常:{JsonConvert.SerializeObject(ex)}"); } return false; } }
使用lock的原因是避免并行的时候,会发生sqlite3 database is locked问题,代码中对connection使用开启,用完关闭,保证资源释放;没有使用efcore是因为efcore操作sqlite不太友好