以前项目基本上全部使用mysql数据库, 最近项目排期空出了一点时间leader决定把日志模块迁移到插入/查询性能更好的mongodb上. 多条件查询的写法着实费了些功夫, 撰文记录一下.

一、准备工作

1. 安装过程, 不赘述了

2. 添加referencepackage

dotnet add package mongodb.bson
dotnet add package mongodb.driver

3. appsetting.json添加连接配置

"mongodbhost": {
  "connection": "mongodb://[username]:[password]@[ip]:[port]",
  "database": "[database]",
  "table": ""
 },

4. 获取mongodbconfig 的方法

public static mongodbhostoptions mongodbconfig()
{
  var builder = new configurationbuilder()
        .setbasepath(directory.getcurrentdirectory())
        .addjsonfile("appsettings.json");

  iconfiguration configuration = builder.build();
  var option = configuration.getsection("mongodbhost");
  return new mongodbhostoptions { connection = option["connection"], database = option["database"], table = option["table"] };
}

二、查询方法

这里的查询方法是网上找的, 直接拿来用了. 如果是单一数据源的话, 这里的host可以提取出来成为helper类的属性.

#region findlistbypage 分页查询集合
  /// <summary>
  /// 分页查询集合
  /// </summary>
  /// <param name="filter">查询条件</param>
  /// <param name="pageindex">当前页</param>
  /// <param name="pagesize">页容量</param>
  /// <param name="count">总条数</param>
  /// <param name="field">要查询的字段,不写时查询全部</param>
  /// <param name="sort">要排序的字段</param>
  /// <returns></returns>
  public static list<t> findlistbypage(filterdefinition<t> filter, int pageindex, int pagesize, out int count, string[] field = null, sortdefinition<t> sort = null)
  {
    try
    {
      mongodbhostoptions host = tools.appsettingstools.mongodbconfig();
      host.table = "wsmessagelog";
      var client = mongodbclient<t>.mongodbinfoclient(host);
      count = convert.toint32(client.countdocuments(filter));
      //不指定查询字段
      if (field == null || field.length == 0)
      {
        if (sort == null) return client.find(filter).skip((pageindex - 1) * pagesize).limit(pagesize).tolist();
        //进行排序
        return client.find(filter).sort(sort).skip((pageindex - 1) * pagesize).limit(pagesize).tolist();
      }

      //指定查询字段
      var fieldlist = new list<projectiondefinition<t>>();
      for (int i = 0; i < field.length; i++)
      {
        fieldlist.add(builders<t>.projection.include(field[i].tostring()));
      }
      var projection = builders<t>.projection.combine(fieldlist);
      fieldlist?.clear();

      //不排序
      if (sort == null) return client.find(filter).project<t>(projection).skip((pageindex - 1) * pagesize).limit(pagesize).tolist();

      //排序查询
      return client.find(filter).sort(sort).project<t>(projection).skip((pageindex - 1) * pagesize).limit(pagesize).tolist();

    }
    catch (exception ex)
  {
    throw ex;
  }
}
#endregion

三、调用查询方法

这里还踩了一个坑. mongodb里存储的时间是格林尼治时间, 插入8:00, 查询时会发现变成了0:00,所以定义时间属性的时候需要加个标签

[bsondatetimeoptions(kind = datetimekind.local)]
public datetime logtime { get; set; }

这里的oprlogmodel是定义了查询条件的类.

public static logpager<log_operate> get_operate_log_mongo(oprlogmodel qmodel)
{
  logpager<log_operate> pager = new logpager<log_operate>();
  filterdefinition<log_operate> filters;

   var sortbuilder = builders<log_operate>.sort;
  var sort = sortbuilder.descending("operate_time");

  #region 用户权限过滤
  ienumerable<string> idlist = dev_devicerepository.getbinding(qmodel.user_id);
   filters = builders<log_operate>.filter.in("device_id", idlist);
  #endregion

  if (!string.isnullorempty(qmodel.device_id))
  {
    var filters_did = builders<log_operate>.filter.eq("device_id", qmodel.device_id);
    filters = builders<log_operate>.filter.and(filters, filters_did);
  }
  if (qmodel.sdate != null)
  {
    var filters_sdate = builders<log_operate>.filter.gte<datetime>("operate_time", convert.todatetime(qmodel.sdate));
    filters = builders<log_operate>.filter.and(filters, filters_sdate);
  }
  if (qmodel.edate != null)
  {
    var filters_edate = builders<log_operate>.filter.lte<datetime>("operate_time", convert.todatetime(qmodel.edate));
    filters = builders<log_operate>.filter.and(filters, filters_edate);
  }
  int total;
  pager.data = mongotools<log_operate>.findlistbypage(filters, qmodel.pageindex, (qmodel.pageindex - 1) * qmodel.pagesize, out total, null, sort);
  pager.total = total;
  return pager;
}
#endregion

也可以先定义一个空的filterdefinition, 然后与各查询条件通过and聚合:

filterdefinition<log_operate> filters = filterdefinition<log_operate>.empty;
var filters_idlist = builders<log_operate>.filter.in("device_id", idlist);
filters = builders<log_operate>.filter.and(filters, filters_idlist);

以上就是.net core如何对mongodb执行多条件查询的详细内容,更多关于.net core对mongodb 多条件查询的资料请关注www.887551.com其它相关文章!