public class DailyAggregator : Aggregator
{
public override Dictionary<string, int?> Aggregate<T>(IQueryable<T> query, Expression<Func<T, DateTime>> groupByProperty, Expression<Func<T, double>> operationProperty = null)
{
if (operationProperty == null) // property of sum/avg (null = count)
operationProperty = x => 1;
if (_operationType.Equals(ReportAggregationOperation.Sum))
{
return query
.GroupBy(g => new
{
Day = TestableDbFunctions.TruncateTime(groupByProperty.Invoke(g))
})
.Select(x => new
{
Key = x.Key.Day.ToString().Substring(0, 10),
Value = (int?) x.Sum(operationProperty.Compile()),
})
.ToDictionary(t => t.Key, t => t.Value);
}
else
{
return query
.GroupBy(g => new
{
Day = DbFunctions.TruncateTime(groupByProperty.Invoke(g))
})
.Select(
x => new
{
Key = x.Key.Day.ToString().Substring(0, 10),
Value = (int?) x.Average(operationProperty.Compile()),
}).ToDictionary(t => t.Key, t => t.Value);
}
}
}
我正在使用IOC容器来创建像dailyaggreagtor / monthlyaggregator这样的实例...... 但我无法通过表达式构建此组,或者应用正确的设计模式来消除上述if语句。
编译和调用函数来自LinqKit扩展。 使用此聚合器的类正在查询数据库并收集呼叫中心报告的数据(例如,TotalCdrRecords报告,ReachedCdrRecords报告,CdrTalkTime报告,CdrCallAfterworkTime等,CDR是呼叫数据记录,实际上包含有关呼叫的所有信息) 。查询(T)的类型在报告类中指定,但基本上是一个IReportableEntity,但当然,operationProperty它可以是数据库实体的任何属性,我们可以执行count / sum / avg操作,groupByProperty是始终是DateTime列。
它生成以下sql查询:
SELECT
1 AS [C1],
SUBSTRING(CASE WHEN ([GroupBy1].[K1] IS NULL) THEN N'' ELSE CAST( [GroupBy1].[K1] AS nvarchar(max)) END, 0 + 1, 10) AS [C2],
CAST( [GroupBy1].[A1] AS int) AS [C3]
FROM ( SELECT
[Filter1].[K1] AS [K1],
SUM([Filter1].[A1]) AS [A1]
FROM ( SELECT
convert (datetime2, convert(varchar(255), [Extent1].[CreatedOn], 102) , 102) AS [K1],
cast(1 as float(53)) AS [A1]
FROM [dbo].[VCCCdr] AS [Extent1]
WHERE ([Extent1].[CreatedOn] >= @p__linq__0) AND ([Extent1].[CreatedOn] <= @p__linq__1) AND ([Extent1].[CompanyId] = @p__linq__2)
) AS [Filter1]
GROUP BY [K1]
) AS [GroupBy1]
答案 0 :(得分:3)
由于您使用的是LINQKit,因此您可以提取一个表达式,以便在查询中调用Sum
/ Average
部分和Invoke
。
例如:
var aggregateFunc = _operationType.Equals(ReportAggregationOperation.Sum) ?
Linq.Expr((IEnumerable<double> source) => source.Sum()) :
Linq.Expr((IEnumerable<double> source) => source.Average());
return query
.GroupBy(g => new
{
Day = DbFunctions.TruncateTime(groupByProperty.Invoke(g))
})
.Select(x => new
{
Key = x.Key.Day.ToString().Substring(0, 10),
Value = (int?)aggregateFunc.Invoke(x.Select(operationProperty.Compile())),
})
.ToDictionary(t => t.Key, t => t.Value);