我有一个Azure IoT开发套件MXChip,并且正在将传感器数据发送到IoT中心。我还设置了流分析作业,将输入作为IoT中心,将输出作为SQL Server和Azure函数。输出将被写入SQL数据库,因此,我确认查询是正确的。
当我检查流分析作业日志时,看到如下错误。
{
"channels": "Operation",
"correlationId": "4a9c9b61-631a-4f4f-a403-c2869b2af66c",
"description": "",
"eventDataId": "97250faf-fa47-4e78-9981-8429f293bab9",
"eventName": {
"value": "streamingNode0",
"localizedValue": "streamingNode0"
},
"category": {
"value": "Administrative",
"localizedValue": "Administrative"
},
"eventTimestamp": "2018-12-18T15:54:22.9777487Z",
"id": "",
"level": "Error",
"operationId": "a613bc6a-5f61-4064-bea5-83c3af232e68",
"operationName": {
"value": "Send Events: Azure Function Output Adapter failed to write events",
"localizedValue": "Send Events: Azure Function Output Adapter failed to write events"
},
"resourceGroupName": "mlIoTPlatformDev",
"resourceProviderName": {
"value": "Microsoft.StreamAnalytics",
"localizedValue": "Microsoft.StreamAnalytics"
},
"resourceType": {
"value": "Microsoft.StreamAnalytics/streamingjobs",
"localizedValue": "Microsoft.StreamAnalytics/streamingjobs"
},
"resourceId": "",
"status": {
"value": "Failed",
"localizedValue": "Failed"
},
"subStatus": {
"value": "",
"localizedValue": ""
},
"submissionTimestamp": "2018-12-18T15:55:04.0799116Z",
"subscriptionId": "",
"properties": {
"Message Time": "2018-12-18 15:54:22Z",
"Error": "- An error occurred while sending the request.\r\n- The underlying connection was closed: An unexpected error occurred on a send.\r\n- Unable to read data from the transport connection: An existing connection was forcibly closed by the remote host.\r\n- An existing connection was forcibly closed by the remote host\r\n",
"Message": "Failed to write events. Error encountered after writing [0] batches., - An error occurred while sending the request.\r\n- The underlying connection was closed: An unexpected error occurred on a send.\r\n- Unable to read data from the transport connection: An existing connection was forcibly closed by the remote host.\r\n- An existing connection was forcibly closed by the remote host\r\n, : OutputSourceAlias:AzureFunctionOutput;AdapterType:AzureFunction;ShardId:0;",
"Type": "AzureFunctionOutputAdapterFailure",
"Correlation ID": "4a9c9b61-631a-4f4f-a403-c2869b2af66c"
},
"relatedEvents": []
}
下面是我的Azure功能代码。
[FunctionName("GetData")]
public static async Task < HttpResponseMessage > Run(
[HttpTrigger(AuthorizationLevel.Anonymous, "get", "post")] HttpRequestMessage req,
// [SignalR(HubName = "ml-iot-platform")] IAsyncCollector<SignalRMessage> signalRMessages,
ILogger log) {
log.LogInformation($ "GetData function triggered with Uri {req.RequestUri}");
dynamic data = await req.Content.ReadAsAsync < object > ();
log.LogInformation($ "Data count is {data.Count}");
if (data.ToString().Length > 262144) {
return new HttpResponseMessage(HttpStatusCode.RequestEntityTooLarge);
}
//await signalRMessages.AddAsync(new SignalRMessage()
//{
// Target = "checkData",
// Arguments = new object[] { data }
//});
return req.CreateResponse(HttpStatusCode.OK, "Success");
}
您遇到过这个问题吗?
答案 0 :(得分:2)
我想我明白了,我如下更改了Azure函数代码。
[FunctionName("GetData")]
public static async Task < HttpResponseMessage > Run(
[HttpTrigger(AuthorizationLevel.Anonymous, "post")] HttpRequestMessage req,
ILogger log) {
log.LogInformation($ "GetData function triggered with Uri {req.RequestUri}");
string content = await req.Content.ReadAsStringAsync();
log.LogInformation($ "String content is {content}");
dynamic data = JsonConvert.DeserializeObject(content);
log.LogInformation($ "Data count is {data?.Count}");
if (data ? .ToString() ? .Length > 262144) {
return new HttpResponseMessage(HttpStatusCode.RequestEntityTooLarge);
}
return req.CreateResponse(HttpStatusCode.OK, "Success");
}
当我监视Azure功能时,我会看到错误消息,因为“没有MediaTypeFormatter可从媒体类型为'application / octet-stream'的内容中读取类型为'Object'的对象。”我以字符串形式获取数据并反序列化相同。
除此之外,我还将函数的 TLS版本设置为1.0,这非常重要,Microsoft会发出警告,要求更改但不能出错。
现在,通过Monitor选项,该功能可以正常工作而没有任何错误。您也可以查看文档here。