FetchXML 집계 사용

 

게시 날짜: 2017년 1월

적용 대상: Dynamics 365 (online), Dynamics 365 (on-premises), Dynamics CRM 2016, Dynamics CRM Online

Microsoft Dynamics CRM 2015 및 Microsoft Dynamics 365(온라인)에서 FetchXML에는 합계, 평균, 최소값, 최대값 및 개수를 계산할 수 있는 그룹화 및 집계 기능이 포함되어 있습니다.

다음과 같은 집계 함수가 지원됩니다.

• sum

• avg

• min

• max

• count(*)

• count(특성 이름)

이 항목의 내용

집계 정보

평균

개수

최대

분

합계

여러 집계

그룹화 방법

정렬 기준

집계 정보

집계 특성을 만들려면 키워드 aggregate를 true로 설정한 후 올바른 엔터티 이름, 특성 이름 및 별칭(변수 이름)을 지정해야 합니다. 또한 수행할 집계 유형도 지정해야 합니다.

다음 예제에서는 FetchXML의 간단한 집계 특성을 보여 줍니다.

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

집계 특성을 사용한 쿼리 결과는 표준 쿼리 결과와 다릅니다. 별칭 값은 집계 결과 대한 태그 식별자로 사용됩니다.

다음 예제에서는 집계 쿼리 결과의 형식을 보여 줍니다.

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

다음 예제에서는 변수 별칭이 account_count로 설정되어 있을 경우 쿼리 결과를 표시합니다.

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

평균

다음 예는 avgaggregate 특성 사용 방법을 보여줍니다.

// 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("===============================");

평균을 계산하는 동안 null 값을 갖는 한계

Microsoft Dynamics 365이 데이터 평균을 계산할 때 널 값은 고려되지 않습니다. 하지만 0이 사용됩니다.

다음 예제에서 다음 데이터를 사용하여 거래처 1(항목 2개)에 대한 평균이 250으로 표시되는 반면 거래처 2(항목 두 개)에 대한 평균은 125로 표시됩니다.

항목	잠재 고객	예상 값
영업 기회 1	거래처 1	null
영업 기회 2	거래처 1	250
영업 기회 3	거래처 2	0
영업 기회 4	거래처 2	250

개수

다음 예는 countaggregate 특성 사용 방법을 보여줍니다.

// *****************************************************************************************************************
//                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

다음 예는 countcolumnaggregate 특성을 사용하여 열을 계산하는 방법을 보여줍니다.

// *****************************************************************************************************************
//                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("===============================");

고유 열 개수

다음 예제에서는 distinct와 countcolumnaggregate 특성을 사용하여 고유 열 개수를 세는 방법을 보여 줍니다.

// *****************************************************************************************************************
//                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("===============================");

최대

Microsoft Dynamics 365이 데이터의 최대값을 계산할 때 널 값은 고려되지 않습니다. 하지만 0이 사용됩니다.

다음 예는 maxaggregate 특성 사용 방법을 보여줍니다.

// *****************************************************************************************************************
//                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("===============================");

분

Microsoft Dynamics 365이 데이터의 최소값을 계산할 때 널 값은 고려되지 않습니다. 하지만 0이 사용됩니다.

다음 예는 minaggregate 특성 사용 방법을 보여줍니다.

// *****************************************************************************************************************
//                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("===============================");

합계

다음 예는 sumaggregate 특성 사용 방법을 보여줍니다.

// *****************************************************************************************************************
//                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("===============================");

여러 집계

다음 예제에서는 여러 aggregate 특성을 사용하여 최소값과 최대값을 설정하는 방법을 보여 줍니다.

// *****************************************************************************************************************
//                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("===============================");

그룹화 방법

다음 예제에서는 여러 aggregate 특성과 연결된 groupby 특성을 사용하는 방법을 보여 줍니다.

// *****************************************************************************************************************
//                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("===============================");

아래 샘플에서는 다음 그룹화 방법 예제를 보여 줍니다.

연결된 엔터티로 그룹화

연도별 그룹화

분기별 그룹화

월별 그룹화

주별 그룹화

일별 그룹화

다중 그룹화

연결된 엔터티로 그룹화

다음 예는 sumaggregate 특성을 사용하여 링크된 엔터티 값을 집계하는 방법을 보여줍니다.

// *****************************************************************************************************************
//                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("===============================");

연도별 그룹화

날짜에 대한 그룹화는 일, 주, 월, 분기 또는 연도 값을 사용합니다. 다음 예제에서는 aggregate 특성과 groupby 특성을 사용하여 연도별 결과를 그룹화하는 방법을 보여 줍니다.

// *****************************************************************************************************************
//                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("===============================");

분기별 그룹화

다음 예제에서는 aggregate 특성과 groupby 특성을 사용하여 분기별 결과를 그룹화하는 방법을 보여 줍니다.

 // *****************************************************************************************************************
 //                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("===============================");

월별 그룹화

다음 예제에서는 aggregate 특성과 groupby 특성을 사용하여 월별 결과를 그룹화하는 방법을 보여 줍니다.

// *****************************************************************************************************************
//                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("===============================");

주별 그룹화

다음 예제에서는 aggregate 특성과 groupby 특성을 사용하여 주별 결과를 그룹화하는 방법을 보여 줍니다.

// *****************************************************************************************************************
//                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("===============================");

일별 그룹화

다음 예제에서는 aggregate 특성과 groupby 특성을 사용하여 일별 결과를 그룹화하는 방법을 보여 줍니다.

// *****************************************************************************************************************
//                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("===============================");

다중 그룹화

다음 예제에서는 aggregate 특성과 다중 groupby 절을 사용하는 방법을 보여 줍니다.

// *****************************************************************************************************************
//                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("===============================");

정렬 기준

다음 예제에서는 aggregate 특성과 다중 orderby 절을 사용하는 방법을 보여 줍니다.

// *****************************************************************************************************************
//                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("===============================");

참고 항목

RetrieveMultiple
RetrieveMultipleRequest
FetchExpression
FetchXML을 사용하여 쿼리 작성
FetchXML을 사용하여 대형 결과 집합 페이징
FetchXML schema

Microsoft Dynamics 365

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