SQL Server 2008 R2——VC++ ADO 操作 重复利用_ParameterPtr

时间:2022-06-12 15:33:59

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之前一直是有几个参数就创建一个_ParameterPtr对象

         TESTHR(pParam1.CreateInstance(TEXT("ADODB.Parameter")));

         pParam1=pCmd->CreateParameter(TEXT(""),adInteger,adParamInput,sizeof(int));
pParam1->Value=_variant_t(nNo);
pCmd->Parameters->Append(pParam1); TESTHR(pParam2.CreateInstance(TEXT("ADODB.Parameter"))); pParam2=pCmd->CreateParameter(TEXT(""),adInteger,adParamInput,sizeof(int));
pParam2->Value=_variant_t(nId);
pCmd->Parameters->Append(pParam2); TESTHR(pRecordset.CreateInstance(TEXT("ADODB.Recordset"))); pRecordset=pCmd->Execute(NULL,NULL,adCmdText);

现在想来试了一下,重复利用同一个也是可以的。

         TESTHR(pParam1.CreateInstance(TEXT("ADODB.Parameter")));

         pParam1=pCmd->CreateParameter(TEXT(""),adInteger,adParamInput,sizeof(int));
pParam1->Value=_variant_t(nNo);
pCmd->Parameters->Append(pParam1); pParam1=pCmd->CreateParameter(TEXT(""),adInteger,adParamInput,sizeof(int));
pParam1->Value=_variant_t(nId);
pCmd->Parameters->Append(pParam1); TESTHR(pRecordset.CreateInstance(TEXT("ADODB.Recordset"))); pRecordset=pCmd->Execute(NULL,NULL,adCmdText);

但仔细观察,就会发现,有的代码是直接在Append里面使用CreateParameter函数:

         TESTHR(pParam1.CreateInstance(TEXT("ADODB.Parameter")));

         pCmd->Parameters->Append(pCmd->CreateParameter(TEXT(""),adInteger,adParamInput,sizeof(int),_variant_t(nNo)));
pCmd->Parameters->Append(pCmd->CreateParameter(TEXT(""),adInteger,adParamInput,sizeof(int),_variant_t(nId))); TESTHR(pRecordset.CreateInstance(TEXT("ADODB.Recordset"))); pRecordset=pCmd->Execute(NULL,NULL,adCmdText);

考虑到COM的原理(继承和虚函数表之类的讲不了,自行参阅《COM技术内幕》),这样也是可行的

         IDispatchPtr pDispObj;
pDispObj=pCmd->CreateParameter(TEXT(""),adInteger,adParamInput,sizeof(int),_variant_t(nNo));
pCmd->Parameters->Append(pDispObj); pDispObj=pCmd->CreateParameter(TEXT(""),adInteger,adParamInput,sizeof(int),_variant_t(nId));
pCmd->Parameters->Append(pDispObj); TESTHR(pRecordset.CreateInstance(TEXT("ADODB.Recordset"))); pRecordset=pCmd->Execute(NULL,NULL,adCmdText);

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如此,便不用为十几个参数的存储过程忧心了。个人感觉还是下面的好。

pCmd->Parameters->Append(pCmd->CreateParameter(TEXT("参数名"),adInteger,adParamInput,sizeof(int),_variant_t(nId)));

================================随便说点什么===============================

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" 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把所学所用记录下来,积累从点滴做起。

“千里之堤,溃于蚁穴”的道理我还是懂的。

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" 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