我对Entity Framework很陌生,我对过滤数据有疑问。
我有两个不同的Log实体,它们是:DiskLog
和NetworkLog
。这些实体都来自Log
实体。以下是我的C#app中的一些代码:
public class Log { ... }
public class DiskLog : Log { ... }
public class NetworkLog : Log { ... }
public enum LogType
{
NotInitialized = 0,
Disk,
Network
}
public List<Log> GetWithFilter(
Guid userKey,
int nSkip,
int nTake,
DateTime dateFrom = DateTime.MinValue,
DateTime dateTo = DateTime.MaxValue,
LogType logType = LogType.NotInitialized,
int computerId = 0)
{
// need to know how to optimize ...
return ...
}
当然,我已经创建了工作应用和数据库表。我想要做的是使函数GetWithFilter工作。我有几种执行方式:
if logType == LogType.Disk && computerId <= 0
(表示查询中不需要使用computerId参数,只选择DiskLog实体)
if logType == LogType.Disk && computerId > 0
(表示我必须使用computerId参数,仅选择DiskLog实体)
if logType == LogType.NotInitialized && computerId <= 0
(无需使用computerId和logType,只需选择所有实体,DiskLog和NetworkLog)
if logType == LogType.NotInitialized && computerId > 0
(为指定的计算机选择所有类型的日志)
if logType == LogType.Network && computerId <= 0
(选择所有NetworkLog实体)
if logType == LogType.Network && computerId > 0
(选择指定计算机的所有NetworkLog实体)
如您所见,有很多可用选项。我要编写6个这样的查询:
1
context.LogSet
.OfType<DiskLog>
.Where(x => x.Computer.User.UserKey == userKey)
.Where(x => x.DateStamp >= dateFrom && x.DateStamp < dateTo)
.OrderByDescending(x => x.Id)
.Skip(nSkip)
.Take(nTake)
.ToList();
2
context.LogSet
.OfType<DiskLog>
.Where(x => x.Computer.User.UserKey == userKey)
.Where(x => x.DateStamp >= dateFrom && x.DateStamp < dateTo)
.Where(x => x.Computer.Id == computerId)
.OrderByDescending(x => x.Id)
.Skip(nSkip)
.Take(nTake)
.ToList();
3
context.LogSet
.Where(x => x.Computer.User.UserKey == userKey)
.Where(x => x.DateStamp >= dateFrom && x.DateStamp < dateTo)
.OrderByDescending(x => x.Id)
.Skip(nSkip)
.Take(nTake)
.ToList(); // simplest one!
4
context.LogSet
.Where(x => x.Computer.User.UserKey == userKey)
.Where(x => x.DateStamp >= dateFrom && x.DateStamp < dateTo)
.Where( x => x.Computer.Id == computerId)
.OrderByDescending(x => x.Id)
.Skip(nSkip)
.Take(nTake)
.ToList();
5
context.LogSet
.OfType<NetworkLog>
.Where(x => x.Computer.User.UserKey == userKey)
.Where(x => x.DateStamp >= dateFrom && x.DateStamp < dateTo)
.OrderByDescending(x => x.Id)
.Skip(nSkip)
.Take(nTake)
.ToList();
6
context.LogSet
.OfType<NetworkLog>
.Where(x => x.Computer.User.UserKey == userKey)
.Where(x => x.DateStamp >= dateFrom && x.DateStamp < dateTo)
.Where( x => x.Computer.Id == computerId)
.OrderByDescending(x => x.Id)
.Skip(nSkip)
.Take(nTake)
.ToList();
所以问题是如何优化代码?如何使其变得更好。
答案 0 :(得分:13)
您可以轻松使用查询组合。
首先从查询开始。
IQueryable<Log> query = context.LogSet;
他们组成子查询。
if (logType == LogType.Disk)
{
query = query.OfType<DiskLog>(); // not sure if you need conversion here
}
else if (logType == LogType.Network)
{
query = query.OfType<NetworkLog>(); // not sure if you need conversion here
}
query = query.Where(x => x.Computer.User.UserKey == userKey);
if (computerId != 0)
query = query.Where( x => x.Computer.Id == computerId);
// .. and so on
query = query.OrderByDescending(x => x.Id).Skip(nSkip).Take(nTake);
return query.ToList(); // do database call, materialize the data and return;
当没有值时,我会建议使用可空值的类型。
答案 1 :(得分:7)
您可以使用Func<T,bool>
优化此
IEnumerable<T> Select<T>(IEnumerable<T> source, Func<T, bool> userKeyFunc, Func<T, bool> dateFunc, int skip, int take)
{
return source.OfType<T>().Where(userKeyFunc).Where(dateFunc).Skip(skip).Take(take);
}
然后使用:
var result = Select<NetworkLog>(context.LogSet,x => x.Computer.User.UserKey == userKey,
x => x.DateStamp >= dateFrom && x.DateStamp < dateTo, nSkip,nTake)
您可以为此功能创建工厂