【问题标题】:An error occurred Send Events: Azure Function Output Adapter failed to write events Azure Function as Stream Analytics Job Output发生错误发送事件:Azure 函数输出适配器无法将事件写入 Azure 函数作为流分析作业输出
【发布时间】:2019-05-19 23:08:48
【问题描述】:

我有一个 Azure IoT 开发工具包 MXChip,我正在将传感器数据发送到 IoT 中心。我还设置了流分析作业,输入为 IoT 中心,输出为 SQL Server 和 Azure 函数。输出被写入 SQL 数据库,所以我确认查询是正确的。

当我检查我的流分析作业日志时,我看到如下错误。

{
    "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 Function 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");
}

你有没有遇到过这个问题?

【问题讨论】:

    标签: azure-functions iot azure-iot-hub azure-stream-analytics mxchip


    【解决方案1】:

    我想我明白了,我将 Azure Function 代码更改如下。

    [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");
    }
    

    当我监控我的 Azure 函数时,我可以看到我收到一个错误,因为“没有 MediaTypeFormatter 可用于从媒体类型为‘application/octet-stream’的内容中读取‘Object’类型的对象。”,所以我将数据作为字符串获取并反序列化。

    除此之外,我还将函数的 TLS 版本 设置为 1.0,这非常重要,Microsoft 给出了更改的警告,但不是错误。

    现在该功能运行良好,没有任何错误,从监视器选项。您还可以查看文档here

    【讨论】:

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