这篇文章主要介绍.Net Core对MongoDB执行多条件查询的方法，文中介绍的非常详细，具有一定的参考价值，感兴趣的小伙伴们一定要看完！
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);以上是.Net Core对MongoDB执行多条件查询的方法的所有内容，感谢各位的阅读！希望分享的内容对大家有帮助，更多相关知识，欢迎关注亿速云行业资讯频道！
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