使用 FetchXML 聚合

项目
07/06/2017

发布日期： 2016年11月

适用于： Dynamics CRM 2015

在 Microsoft Dynamics CRM 2015 和 Microsoft Dynamics CRM Online 中，FetchXML 包括使您能够计算总和、平均值、最小值、最大值和计数的分组和聚合函数。

支持以下聚合函数：

sum
avg
min
max
count(*)
count（属性名称）

本主题内容

关于聚合

平均

计数

最大值

最小

总和

多个聚合

分组依据

排序依据

关于聚合

若要创建聚合属性，请将关键字 aggregate 设置为 true，然后指定有效的实体名称、属性名称和别名（变量名称）。您同时必须指定要执行的聚合的类型。

以下示例显示 FetchXML 中的某个简单聚合属性。

<fetch distinct='false' mapping='logical' aggregate='true'> 
   <entity name='entity name'> 
      <attribute name='attribute name' aggregate='count' alias='alias name'/> 
   </entity> 
</fetch>"

含有聚合属性的查询的结果与标准查询的结果有所不同。别名值用作聚合结果的标记标识符。

以下示例显示聚合查询结果的格式。

<resultset morerecords="0"'> 
   <result>
      <alias>aggregate value</alias>
   </result>
</resultset>"

以下示例显示别名变量设置为 account_count 时的查询结果。

<resultset morerecords="0"'> 
   <result>
      <account_count>20</account_count>
   </result>
</resultset>"

平均

以下示例显示如何使用 avgaggregate 属性。


// Fetch the average of estimatedvalue for all opportunities.  This is the equivalent of 
// SELECT AVG(estimatedvalue) AS estimatedvalue_avg ... in SQL.
System.Console.WriteLine("===============================");
string estimatedvalue_avg = @" 
<fetch distinct='false' mapping='logical' aggregate='true'> 
    <entity name='opportunity'> 
       <attribute name='estimatedvalue' alias='estimatedvalue_avg' aggregate='avg' /> 
    </entity> 
</fetch>";

EntityCollection estimatedvalue_avg_result = _serviceProxy.RetrieveMultiple(new FetchExpression(estimatedvalue_avg));

foreach (var c in estimatedvalue_avg_result.Entities)
{
    decimal aggregate1 = ((Money)((AliasedValue)c["estimatedvalue_avg"]).Value).Value;
    System.Console.WriteLine("Average estimated value: " + aggregate1);

}
System.Console.WriteLine("===============================");

计算平均值时的 NULL 值限制

当Microsoft Dynamics 365计算数据的平均值时，不考虑空值。但是，会使用零 (0)。

在下面的示例中，若使用以下数据，客户 1（两个条目）的平均值显示为 250，客户 2（两个条目）的平均值显示为 125。

主题	潜在客户	预计值
商机 1	客户 1	null
商机 2	客户 1	250
商机 3	客户 2	0
商机 4	客户 2	250

计数

以下示例显示如何使用 countaggregate 属性。


// *****************************************************************************************************************
//                FetchXML      opportunity_count   Aggregate 2
// *****************************************************************************************************************
// Fetch the count of all opportunities.  This is the equivalent of
// SELECT COUNT(*) AS opportunity_count ... in SQL.
string opportunity_count = @" 
<fetch distinct='false' mapping='logical' aggregate='true'> 
    <entity name='opportunity'> 
       <attribute name='name' alias='opportunity_count' aggregate='count'/> 
    </entity> 
</fetch>";

EntityCollection opportunity_count_result = _serviceProxy.RetrieveMultiple(new FetchExpression(opportunity_count));

foreach (var c in opportunity_count_result.Entities)
{
    Int32 aggregate2 = (Int32)((AliasedValue)c["opportunity_count"]).Value;
    System.Console.WriteLine("Count of all opportunities: " + aggregate2); 

}
System.Console.WriteLine("===============================");

CountColumn

以下示例显示如何使用 countcolumnaggregate 属性。


// *****************************************************************************************************************
//                FetchXML      opportunity_colcount   Aggregate 3
// *****************************************************************************************************************
// Fetch the count of all opportunities.  This is the equivalent of 
// SELECT COUNT(name) AS opportunity_count ... in SQL.
string opportunity_colcount = @" 
<fetch distinct='false' mapping='logical' aggregate='true'> 
    <entity name='opportunity'> 
       <attribute name='name' alias='opportunity_colcount' aggregate='countcolumn'/> 
    </entity> 
</fetch>";

EntityCollection opportunity_colcount_result = _serviceProxy.RetrieveMultiple(new FetchExpression(opportunity_colcount));

foreach (var c in opportunity_colcount_result.Entities)
{
    Int32 aggregate3 = (Int32)((AliasedValue)c["opportunity_colcount"]).Value;
    System.Console.WriteLine("Column count of all opportunities: " + aggregate3);

}
System.Console.WriteLine("===============================");

计算不同列

以下示例显示如何使用 countcolumnaggregate 属性计算不同的列。


// *****************************************************************************************************************
//                FetchXML      opportunity_distcount   Aggregate 4
// *****************************************************************************************************************
// Fetch the count of distinct names for opportunities.  This is the equivalent of 
// SELECT COUNT(DISTINCT name) AS opportunity_count ... in SQL.
string opportunity_distcount = @" 
<fetch distinct='false' mapping='logical' aggregate='true'> 
    <entity name='opportunity'> 
       <attribute name='name' alias='opportunity_distcount' aggregate='countcolumn' distinct='true'/> 
    </entity> 
</fetch>";

EntityCollection opportunity_distcount_result = _serviceProxy.RetrieveMultiple(new FetchExpression(opportunity_distcount));

foreach (var c in opportunity_distcount_result.Entities)
{
    Int32 aggregate4 = (Int32)((AliasedValue)c["opportunity_distcount"]).Value;
    System.Console.WriteLine("Distinct name count of all opportunities: " + aggregate4);

}
System.Console.WriteLine("===============================");

最大值

当Microsoft Dynamics 365计算数据的最大值时，不考虑空值。但是，会使用零 (0)。

以下示例显示如何使用 maxaggregate 属性。


// *****************************************************************************************************************
//                FetchXML      estimatedvalue_max   Aggregate 5
// *****************************************************************************************************************
// Fetch the maximum estimatedvalue of all opportunities.  This is the equivalent of 
// SELECT MAX(estimatedvalue) AS estimatedvalue_max ... in SQL.
string estimatedvalue_max = @" 
<fetch distinct='false' mapping='logical' aggregate='true'> 
    <entity name='opportunity'> 
       <attribute name='estimatedvalue' alias='estimatedvalue_max' aggregate='max' /> 
    </entity> 
</fetch>";

EntityCollection estimatedvalue_max_result = _serviceProxy.RetrieveMultiple(new FetchExpression(estimatedvalue_max));

foreach (var c in estimatedvalue_max_result.Entities)
{
    decimal aggregate5 = ((Money)((AliasedValue)c["estimatedvalue_max"]).Value).Value;
    System.Console.WriteLine("Max estimated value of all opportunities: " + aggregate5);

}
System.Console.WriteLine("===============================");

最小

当Microsoft Dynamics 365计算数据的最小值时，不考虑空值。但是，会使用零 (0)。

以下示例显示如何使用 minaggregate 属性。


// *****************************************************************************************************************
//                FetchXML      estimatedvalue_min   Aggregate 6
// *****************************************************************************************************************
// Fetch the minimum estimatedvalue of all opportunities.  This is the equivalent of 
// SELECT MIN(estimatedvalue) AS estimatedvalue_min ... in SQL.
string estimatedvalue_min = @" 
<fetch distinct='false' mapping='logical' aggregate='true'> 
    <entity name='opportunity'> 
       <attribute name='estimatedvalue' alias='estimatedvalue_min' aggregate='min' /> 
    </entity> 
</fetch>";

EntityCollection estimatedvalue_min_result = _serviceProxy.RetrieveMultiple(new FetchExpression(estimatedvalue_min));

foreach (var c in estimatedvalue_min_result.Entities)
{
    decimal aggregate6 = ((Money)((AliasedValue)c["estimatedvalue_min"]).Value).Value;
    System.Console.WriteLine("Minimum estimated value of all opportunities: " + aggregate6);

}
System.Console.WriteLine("===============================");

总和

以下示例显示如何使用 sumaggregate 属性。


// *****************************************************************************************************************
//                FetchXML      estimatedvalue_sum   Aggregate 7
// *****************************************************************************************************************
// Fetch the sum of estimatedvalue for all opportunities.  This is the equivalent of 
// SELECT SUM(estimatedvalue) AS estimatedvalue_sum ... in SQL.
string estimatedvalue_sum = @" 
<fetch distinct='false' mapping='logical' aggregate='true'> 
    <entity name='opportunity'> 
       <attribute name='estimatedvalue' alias='estimatedvalue_sum' aggregate='sum' /> 
    </entity> 
</fetch>";

EntityCollection estimatedvalue_sum_result = _serviceProxy.RetrieveMultiple(new FetchExpression(estimatedvalue_sum));

foreach (var c in estimatedvalue_sum_result.Entities)
{
    decimal aggregate7 = ((Money)((AliasedValue)c["estimatedvalue_sum"]).Value).Value;
    System.Console.WriteLine("Sum of estimated value of all opportunities: " + aggregate7);

}
System.Console.WriteLine("===============================");

多个聚合

以下示例显示如何使用多个 aggregate 属性设置最小值和最大值。


// *****************************************************************************************************************
//                FetchXML      estimatedvalue_avg, estimatedvalue_sum   Aggregate 8
// *****************************************************************************************************************
// Fetch multiple aggregate values within a single query.
string estimatedvalue_avg2 = @" 
<fetch distinct='false' mapping='logical' aggregate='true'> 
    <entity name='opportunity'> 
       <attribute name='opportunityid' alias='opportunity_count' aggregate='count'/> 
       <attribute name='estimatedvalue' alias='estimatedvalue_sum' aggregate='sum'/> 
       <attribute name='estimatedvalue' alias='estimatedvalue_avg' aggregate='avg'/> 
    </entity> 
</fetch>";

EntityCollection estimatedvalue_avg2_result = _serviceProxy.RetrieveMultiple(new FetchExpression(estimatedvalue_avg2));

foreach (var c in estimatedvalue_avg2_result.Entities)
{
    Int32 aggregate8a = (Int32)((AliasedValue)c["opportunity_count"]).Value;
    System.Console.WriteLine("Count of all opportunities: " + aggregate8a);
    decimal aggregate8b = ((Money)((AliasedValue)c["estimatedvalue_sum"]).Value).Value;
    System.Console.WriteLine("Sum of estimated value of all opportunities: " + aggregate8b);
    decimal aggregate8c = ((Money)((AliasedValue)c["estimatedvalue_avg"]).Value).Value;
    System.Console.WriteLine("Average of estimated value of all opportunities: " + aggregate8c);

}
System.Console.WriteLine("===============================");

分组依据

以下示例显示如何使用多个 aggregate 属性和链接的 groupby 属性。


// *****************************************************************************************************************
//                FetchXML      groupby1   Aggregate 9
// *****************************************************************************************************************
// Fetch a list of users with a count of all the opportunities they own using groupby.
string groupby1 = @" 
<fetch distinct='false' mapping='logical' aggregate='true'> 
    <entity name='opportunity'> 
       <attribute name='name' alias='opportunity_count' aggregate='countcolumn' /> 
       <attribute name='ownerid' alias='ownerid' groupby='true' /> 
    </entity> 
</fetch>";

EntityCollection groupby1_result = _serviceProxy.RetrieveMultiple(new FetchExpression(groupby1));

foreach (var c in groupby1_result.Entities)
{
    Int32 aggregate9a = (Int32)((AliasedValue)c["opportunity_count"]).Value;
    System.Console.WriteLine("Count of all opportunities: " + aggregate9a + "\n");
    string aggregate9b = ((EntityReference)((AliasedValue)c["ownerid"]).Value).Name;
    System.Console.WriteLine("Owner: " + aggregate9b);
    string aggregate9c = (string)((AliasedValue)c["ownerid_owneridyominame"]).Value;
    System.Console.WriteLine("Owner: " + aggregate9c);
    string aggregate9d = (string)((AliasedValue)c["ownerid_owneridyominame"]).Value;
    System.Console.WriteLine("Owner: " + aggregate9d);
}
System.Console.WriteLine("===============================");

下面的各示例显示以下分组依据示例：

按链接的实体进行分组

按年分组

按季度分组

按月分组

按周分组

按日分组

多个分组依据

按链接的实体进行分组

以下示例显示如何使用 sumaggregate 属性计算链接实体值的总和。


// *****************************************************************************************************************
//                FetchXML      groupby2   Aggregate 10
// *****************************************************************************************************************
// Fetch the number of opportunities each manager's direct reports 
// own using a groupby within a link-entity.
string groupby2 = @" 
<fetch distinct='false' mapping='logical' aggregate='true'> 
    <entity name='opportunity'> 
       <attribute name='name' alias='opportunity_count' aggregate='countcolumn' /> 
       <link-entity name='systemuser' from='systemuserid' to='ownerid'>
           <attribute name='parentsystemuserid' alias='managerid' groupby='true' />
       </link-entity> 
    </entity> 
</fetch>";

EntityCollection groupby2_result = _serviceProxy.RetrieveMultiple(new FetchExpression(groupby2));

foreach (var c in groupby2_result.Entities)
{

      int? aggregate10a = (int?)((AliasedValue)c["opportunity_count"]).Value;
      System.Console.WriteLine("Count of all opportunities: " + aggregate10a + "\n");
}
System.Console.WriteLine("===============================");

按年分组

“分组依据”日期使用日、周、月、季度或年份值。以下示例显示如何使用 aggregate 属性和 groupby 属性按年对结果进行分组。


// *****************************************************************************************************************
//                FetchXML      byyear   Aggregate 11           
// *****************************************************************************************************************
// Fetch aggregate information about the opportunities that have 
// been won by year.
string byyear = @" 
<fetch distinct='false' mapping='logical' aggregate='true'> 
    <entity name='opportunity'> 
       <attribute name='opportunityid' alias='opportunity_count' aggregate='count'/> 
       <attribute name='estimatedvalue' alias='estimatedvalue_sum' aggregate='sum'/> 
       <attribute name='estimatedvalue' alias='estimatedvalue_avg' aggregate='avg'/> 
       <attribute name='actualclosedate' groupby='true' dategrouping='year' alias='year' />
       <filter type='and'>
           <condition attribute='statecode' operator='eq' value='Won' />
       </filter>
    </entity> 
</fetch>";

EntityCollection byyear_result = _serviceProxy.RetrieveMultiple(new FetchExpression(byyear));

foreach (var c in byyear_result.Entities)
{
    Int32 aggregate11 = (Int32)((AliasedValue)c["year"]).Value;
    System.Console.WriteLine("Year: " + aggregate11);                      
    Int32 aggregate11a = (Int32)((AliasedValue)c["opportunity_count"]).Value;
    System.Console.WriteLine("Count of all opportunities: " + aggregate11a);
    decimal aggregate11b = ((Money)((AliasedValue)c["estimatedvalue_sum"]).Value).Value;
    System.Console.WriteLine("Sum of estimated value of all opportunities: " + aggregate11b);
    decimal aggregate11c = ((Money)((AliasedValue)c["estimatedvalue_avg"]).Value).Value;
    System.Console.WriteLine("Average of estimated value of all opportunities: " + aggregate11c);
    System.Console.WriteLine("----------------------------------------------");
}
System.Console.WriteLine("===============================");

按季度分组

以下示例显示如何使用 aggregate 属性和 groupby 属性按季度对结果进行分组。


 // *****************************************************************************************************************
 //                FetchXML      byquarter   Aggregate 12           
 // *****************************************************************************************************************
// Fetch aggregate information about the opportunities that have 
 // been won by quarter.(returns 1-4)
 string byquarter = @" 
 <fetch distinct='false' mapping='logical' aggregate='true'> 
     <entity name='opportunity'> 
        <attribute name='opportunityid' alias='opportunity_count' aggregate='count'/> 
        <attribute name='estimatedvalue' alias='estimatedvalue_sum' aggregate='sum'/> 
        <attribute name='estimatedvalue' alias='estimatedvalue_avg' aggregate='avg'/> 
        <attribute name='actualclosedate' groupby='true' dategrouping='quarter' alias='quarter' />
        <filter type='and'>
            <condition attribute='statecode' operator='eq' value='Won' />
        </filter>
     </entity> 
 </fetch>";

 EntityCollection byquarter_result = _serviceProxy.RetrieveMultiple(new FetchExpression(byquarter));

 foreach (var c in byquarter_result.Entities)
 {
     Int32 aggregate12 = (Int32)((AliasedValue)c["quarter"]).Value;
     System.Console.WriteLine("Quarter: " + aggregate12);
     Int32 aggregate12a = (Int32)((AliasedValue)c["opportunity_count"]).Value;
     System.Console.WriteLine("Count of all opportunities: " + aggregate12a);
     decimal aggregate12b = ((Money)((AliasedValue)c["estimatedvalue_sum"]).Value).Value;
     System.Console.WriteLine("Sum of estimated value of all opportunities: " + aggregate12b);
     decimal aggregate12c = ((Money)((AliasedValue)c["estimatedvalue_avg"]).Value).Value;
     System.Console.WriteLine("Average of estimated value of all opportunities: " + aggregate12c);
     System.Console.WriteLine("----------------------------------------------");
 }
 System.Console.WriteLine("===============================");

按月分组

以下示例显示如何使用 aggregate 属性和 groupby 属性按月对结果进行分组。


// *****************************************************************************************************************
//                FetchXML      bymonth   Aggregate 13           
// *****************************************************************************************************************
// Fetch aggregate information about the opportunities that have 
// been won by month. (returns 1-12)
string bymonth = @" 
<fetch distinct='false' mapping='logical' aggregate='true'> 
    <entity name='opportunity'> 
       <attribute name='opportunityid' alias='opportunity_count' aggregate='count'/> 
       <attribute name='estimatedvalue' alias='estimatedvalue_sum' aggregate='sum'/> 
       <attribute name='estimatedvalue' alias='estimatedvalue_avg' aggregate='avg'/> 
       <attribute name='actualclosedate' groupby='true' dategrouping='month' alias='month' />
       <filter type='and'>
           <condition attribute='statecode' operator='eq' value='Won' />
       </filter>
    </entity> 
</fetch>";

EntityCollection bymonth_result = _serviceProxy.RetrieveMultiple(new FetchExpression(bymonth));

foreach (var c in bymonth_result.Entities)
{
    Int32 aggregate13 = (Int32)((AliasedValue)c["month"]).Value;
    System.Console.WriteLine("Month: " + aggregate13);
    Int32 aggregate13a = (Int32)((AliasedValue)c["opportunity_count"]).Value;
    System.Console.WriteLine("Count of all opportunities: " + aggregate13a);
    decimal aggregate13b = ((Money)((AliasedValue)c["estimatedvalue_sum"]).Value).Value;
    System.Console.WriteLine("Sum of estimated value of all opportunities: " + aggregate13b);
    decimal aggregate13c = ((Money)((AliasedValue)c["estimatedvalue_avg"]).Value).Value;
    System.Console.WriteLine("Average of estimated value of all opportunities: " + aggregate13c);
    System.Console.WriteLine("----------------------------------------------");
}
System.Console.WriteLine("===============================");

按周分组

以下示例显示如何使用 aggregate 属性和 groupby 属性按周对结果进行分组。


// *****************************************************************************************************************
//                FetchXML      byweek   Aggregate 14           
// *****************************************************************************************************************
// Fetch aggregate information about the opportunities that have 
// been won by week. (Returns 1-52)
string byweek = @" 
<fetch distinct='false' mapping='logical' aggregate='true'> 
    <entity name='opportunity'> 
       <attribute name='opportunityid' alias='opportunity_count' aggregate='count'/> 
       <attribute name='estimatedvalue' alias='estimatedvalue_sum' aggregate='sum'/> 
       <attribute name='estimatedvalue' alias='estimatedvalue_avg' aggregate='avg'/> 
       <attribute name='actualclosedate' groupby='true' dategrouping='week' alias='week' />
       <filter type='and'>
           <condition attribute='statecode' operator='eq' value='Won' />
       </filter>
    </entity> 
</fetch>";

EntityCollection byweek_result = _serviceProxy.RetrieveMultiple(new FetchExpression(byweek));

foreach (var c in byweek_result.Entities)
{
    Int32 aggregate14 = (Int32)((AliasedValue)c["week"]).Value;
    System.Console.WriteLine("Week: " + aggregate14);
    Int32 aggregate14a = (Int32)((AliasedValue)c["opportunity_count"]).Value;
    System.Console.WriteLine("Count of all opportunities: " + aggregate14a);
    decimal aggregate14b = ((Money)((AliasedValue)c["estimatedvalue_sum"]).Value).Value;
    System.Console.WriteLine("Sum of estimated value of all opportunities: " + aggregate14b);
    decimal aggregate14c = ((Money)((AliasedValue)c["estimatedvalue_avg"]).Value).Value;
    System.Console.WriteLine("Average of estimated value of all opportunities: " + aggregate14c);
    System.Console.WriteLine("----------------------------------------------");
}
System.Console.WriteLine("===============================");

按日分组

以下示例显示如何使用 aggregate 属性和 groupby 属性按日对结果进行分组。


// *****************************************************************************************************************
//                FetchXML      byday   Aggregate 15           
// *****************************************************************************************************************
// Fetch aggregate information about the opportunities that have 
// been won by day. (Returns 1-31)
string byday = @" 
<fetch distinct='false' mapping='logical' aggregate='true'> 
    <entity name='opportunity'> 
       <attribute name='opportunityid' alias='opportunity_count' aggregate='count'/> 
       <attribute name='estimatedvalue' alias='estimatedvalue_sum' aggregate='sum'/> 
       <attribute name='estimatedvalue' alias='estimatedvalue_avg' aggregate='avg'/> 
       <attribute name='actualclosedate' groupby='true' dategrouping='day' alias='day' />
       <filter type='and'>
           <condition attribute='statecode' operator='eq' value='Won' />
       </filter>
    </entity> 
</fetch>";

EntityCollection byday_result = _serviceProxy.RetrieveMultiple(new FetchExpression(byday));

foreach (var c in byday_result.Entities)
{
    Int32 aggregate15 = (Int32)((AliasedValue)c["day"]).Value;
    System.Console.WriteLine("Day: " + aggregate15);
    Int32 aggregate15a = (Int32)((AliasedValue)c["opportunity_count"]).Value;
    System.Console.WriteLine("Count of all opportunities: " + aggregate15a);
    decimal aggregate15b = ((Money)((AliasedValue)c["estimatedvalue_sum"]).Value).Value;
    System.Console.WriteLine("Sum of estimated value of all opportunities: " + aggregate15b);
    decimal aggregate15c = ((Money)((AliasedValue)c["estimatedvalue_avg"]).Value).Value;
    System.Console.WriteLine("Average of estimated value of all opportunities: " + aggregate15c);
    System.Console.WriteLine("----------------------------------------------");
}
System.Console.WriteLine("===============================");

多个分组依据

以下示例显示如何使用 aggregate 属性和多个 groupby 子句。


// *****************************************************************************************************************
//                FetchXML      byyrqtr   Aggregate 16           
// *****************************************************************************************************************
// Fetch aggregate information about the opportunities that have 
// been won by year and quarter.
string byyrqtr = @" 
<fetch distinct='false' mapping='logical' aggregate='true'> 
    <entity name='opportunity'> 
       <attribute name='opportunityid' alias='opportunity_count' aggregate='count'/> 
       <attribute name='estimatedvalue' alias='estimatedvalue_sum' aggregate='sum'/> 
       <attribute name='estimatedvalue' alias='estimatedvalue_avg' aggregate='avg'/> 
       <attribute name='actualclosedate' groupby='true' dategrouping='quarter' alias='quarter' />
       <attribute name='actualclosedate' groupby='true' dategrouping='year' alias='year' />
       <filter type='and'>
           <condition attribute='statecode' operator='eq' value='Won' />
       </filter>
    </entity> 
</fetch>";

EntityCollection byyrqtr_result = _serviceProxy.RetrieveMultiple(new FetchExpression(byyrqtr));

foreach (var c in byyrqtr_result.Entities)
{
    Int32 aggregate16d = (Int32)((AliasedValue)c["year"]).Value;
    System.Console.WriteLine("Year: " + aggregate16d);
    Int32 aggregate16 = (Int32)((AliasedValue)c["quarter"]).Value;
    System.Console.WriteLine("Quarter: " + aggregate16);
    Int32 aggregate16a = (Int32)((AliasedValue)c["opportunity_count"]).Value;
    System.Console.WriteLine("Count of all opportunities: " + aggregate16a);
    decimal aggregate16b = ((Money)((AliasedValue)c["estimatedvalue_sum"]).Value).Value;
    System.Console.WriteLine("Sum of estimated value of all opportunities: " + aggregate16b);
    decimal aggregate16c = ((Money)((AliasedValue)c["estimatedvalue_avg"]).Value).Value;
    System.Console.WriteLine("Average of estimated value of all opportunities: " + aggregate16c);
    System.Console.WriteLine("----------------------------------------------");
}
System.Console.WriteLine("===============================");

排序依据

以下示例显示如何使用 aggregate 属性和多个 orderby 子句。


// *****************************************************************************************************************
//                FetchXML      byyrqtr2   Aggregate 17           
// *****************************************************************************************************************
// Specify the result order for the previous sample.  Order by year, then quarter.
string byyrqtr2 = @" 
<fetch distinct='false' mapping='logical' aggregate='true'> 
    <entity name='opportunity'> 
       <attribute name='opportunityid' alias='opportunity_count' aggregate='count'/> 
       <attribute name='estimatedvalue' alias='estimatedvalue_sum' aggregate='sum'/> 
       <attribute name='estimatedvalue' alias='estimatedvalue_avg' aggregate='avg'/> 
       <attribute name='actualclosedate' groupby='true' dategrouping='quarter' alias='quarter' />
       <attribute name='actualclosedate' groupby='true' dategrouping='year' alias='year' />
       <order alias='year' descending='false' />
       <order alias='quarter' descending='false' />
       <filter type='and'>
           <condition attribute='statecode' operator='eq' value='Won' />
       </filter>
    </entity> 
</fetch>";

EntityCollection byyrqtr2_result = _serviceProxy.RetrieveMultiple(new FetchExpression(byyrqtr2));

foreach (var c in byyrqtr2_result.Entities)
{
    Int32 aggregate17 = (Int32)((AliasedValue)c["quarter"]).Value;
    System.Console.WriteLine("Quarter: " + aggregate17);
    Int32 aggregate17d = (Int32)((AliasedValue)c["year"]).Value;
    System.Console.WriteLine("Year: " + aggregate17d);
    Int32 aggregate17a = (Int32)((AliasedValue)c["opportunity_count"]).Value;
    System.Console.WriteLine("Count of all opportunities: " + aggregate17a);
    decimal aggregate17b = ((Money)((AliasedValue)c["estimatedvalue_sum"]).Value).Value;
    System.Console.WriteLine("Sum of estimated value of all opportunities: " + aggregate17b);
    decimal aggregate17c = ((Money)((AliasedValue)c["estimatedvalue_avg"]).Value).Value;
    System.Console.WriteLine("Average of estimated value of all opportunities: " + aggregate17c);
    System.Console.WriteLine("----------------------------------------------");
}
System.Console.WriteLine("===============================");

另请参阅

RetrieveMultiple
RetrieveMultipleRequest
FetchExpression
使用 FetchXML 构建查询
 使用 FetchXML 对大型结果集进行分页
 FetchXML schema

通过

使用 FetchXML 聚合

本主题内容

关于聚合

平均

计算平均值时的 NULL 值限制

计数

CountColumn

计算不同列

最大值

最小

总和

多个聚合

分组依据

按链接的实体进行分组

按年分组

按季度分组

按月分组

按周分组

按日分组

多个分组依据

排序依据

另请参阅

其他资源