我正在使用下面的代码从工作日提取数据并将它们存储在用户列表中以进行处理：
Workday_Common_HeaderType header = new Workday_Common_HeaderType();
//Fill the Workday header at your wish (omitted for code clarity)
header.Include_Reference_Descriptors_In_ResponseSpecified = true;
header.Include_Reference_Descriptors_In_Response = true;
//Setting up request criteria to use Country
var request = new Get_Workers_RequestType { version = "v33.2" };
gremlinQueries.Clear();
//Fill the Workday request at your wish (omitted for code clarity)
request.Response_Filter = new Response_FilterType();
request.Response_Group = new Worker_Response_GroupType();
request.Response_Group.Include_Management_Chain_Data = true;
request.Response_Group.Include_Management_Chain_DataSpecified = true;
request.Response_Group.Include_Multiple_Managers_in_Management_Chain_DataSpecified = true;
request.Response_Group.Include_Multiple_Managers_in_Management_Chain_Data = true;
request.Response_Group.Include_Personal_InformationSpecified = true;
request.Response_Group.Include_Personal_Information = true;
request.Response_Group.Include_Employment_InformationSpecified = true;
request.Response_Group.Include_Employment_Information = true;
request.Response_Group.Include_RolesSpecified = true;
//request.Response_Group.Include_Development_ItemsSpecified = true;
//request.Response_Group.Include_Development_Items = true;
request.Response_Group.Include_RolesSpecified = true;
request.Response_Group.Include_Roles = true;
request.Response_Group.Include_OrganizationsSpecified = true;
request.Response_Group.Include_Organizations = true;
request.Response_Group.Include_Employment_InformationSpecified = true;
request.Response_Group.Include_Employment_Information = true;
int totalResults = 0;
for (int i = 1; i < totalPages; i++)
{
request.Response_Filter.Page = i;
request.Response_Filter.Count = test ? 14 : 500; //500 page count per request
// request.Response_Group.Include_Management_Chain_Data
request.Response_Filter.CountSpecified = true;
request.Response_Filter.PageSpecified = true;
//Invoke HR getworker api via Proxy
var workers = proxy.Get_Workers(header, request);
if (test != true)
totalPages = (int)workers.Response_Results.Total_Pages + 1;
totalResults = (int)workers.Response_Results.Total_Results;
if (workers.Response_Data == null)
{
break;
}
foreach (var worker in workers.Response_Data)
{
User user = new User();
user.StillHired = worker.Worker_Data.Employment_Data.Worker_Status_Data.Active;
user.HireDate = worker.Worker_Data.Employment_Data.Worker_Status_Data.Hire_Date;
现在我在本地运行它没有问题，但是当我在 Azure 中部署它时，一个小时后我收到错误的内存不足异常，而且功能状态始终是错误的。函数正在使用 AppServicePlan 7GB 内存运行。例外 ：
执行函数时出现异常：Human_ResourcesPort.Get_Workers 处的 ExportWorkday System.OutOfMemoryException
