在 IoT Analytics 中解析 JSON 数组输入

Question

我一次从我频道中的 IoT 设备接收多个数据记录作为 JSON 数组。收到的消息如下所示：

[
    {
      "Field1": "Value1",
      "Field2": "Value2",
      "Field3": "Value3"
    },
    {
      "Field1": "AnotherValue1",
      "Field2": "AnotherValue2",
      "Field3": "AnotherValue3"
    }
]

我使用以下 SQL 查询创建数据集：

SELECT * FROM mydatastore

当我运行数据集时，返回的结果是：

array                                              __dt 
-----                                              -----
[{field1=Value1, field2=Value2, field3=Value3}]    2019-02-21 00:00:00.000

我想要的结果是：

Field1           Field2           Field3
------           ------           ------
Value1           Value2           Value3
AnotherValue1    AnotherValue2    AnotherValue3

如何让 IoT Analytics 在数据存储中为接收到的 JSON 数组中的每个元素创建一个新行？

Answer 1

How can I get IoT Analytics to create a new row in the datastore for each element within the received JSON array?

最简单的方法应该是在您的管道上利用 Lambda Activity，并让它将单个 JSON 有效负载解析为所需的结构。这在某种程度上取决于发送到通道的消息的 'raw' 结构。

因此，例如，我们可以通过 CLI batch-put-message 向 Channel 发送数据，如下所示：

aws iotanalytics batch-put-message --channel-name sample_channel --messages '[{"messageId": "message1", "payload": "{\"array\": [{\"Field1\": \"Value1\", \"Field2\": \"Value2\", \"Field3\": \"Value3\"},{\"Field1\": \"AnotherValue1\", \"Field2\": \"AnotherValue2\", \"Field3\": \"AnotherValue3\"}]}"}]'

然后频道将有一条结构如下的消息：

{
  "messageId": "message1",
  "payload": {
    "array": [
      {
        "Field1": "Value1",
        "Field2": "Value2",
        "Field3": "Value3"
      },
      {
        "Field1": "AnotherValue1",
        "Field2": "AnotherValue2",
        "Field3": "AnotherValue3"
      }
    ]
  }
}

如果您的管道有 Lambda Activity，那么来自通道的消息将在 event 参数中传递给您的 Lambda 函数。

我使用 AWS Lambda 控制台内联编辑器创建了一个简单的 Lambda 函数（使用 Python 3.7），并将其命名为 sample_lambda:

import json
import sys
import logging

# Configure logging
logger = logging.getLogger()
logger.setLevel(logging.INFO)
streamHandler = logging.StreamHandler(stream=sys.stdout)
formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s')
streamHandler.setFormatter(formatter)
logger.addHandler(streamHandler)


def lambda_handler(event, context):
    # This can be handy to see the raw structure of the incoming event
    # will log to the matching CloudWatch log:
    # /aws/lambda/<name_of_the_lambda>
    # logger.info("raw event: {}".format(event))

    parsed_rows = []

    # Depending on the batchSize setting of the Lambda Pipeline Activity,
    # you may receive multiple messages in a single event
    for message_payload in event:
        if 'array' in message_payload:
            for row in message_payload['array']:
                parsed = {}
                for key, value in row.items():
                    parsed[key] = value
                parsed_rows.append(parsed)

    return parsed_rows

我添加了适当的权限，以便 IoT-Analytics 可以通过 CLI 调用 lambda 函数：

aws lambda add-permission --function-name sample_lambda --statement-id statm01 --principal iotanalytics.amazonaws.com --action lambda:InvokeFunction

重新处理Pipeline，解析后的行放在DataStore中；执行数据集，我得到了这个最终结果：

"array","field1","field2","field3","__dt"
,"Value1","Value2","Value3","2019-04-26 00:00:00.000"
,"AnotherValue1","AnotherValue2","AnotherValue3","2019-04-26 00:00:00.000"

Answer 2

迟到回复：

想想看，IoT 规则 - select 语句有很多内置的 clause/functions 像 'as' 能够转换输入负载。请检查，可能正在锻炼。

示例 - https://docs.aws.amazon.com/iot/latest/developerguide/iot-sql-select.html

在主题 'topic/subtopic' 上发布的传入负载：{"color":{"red":255,"green":0,"blue":0}, "temperature":50}

SQL:

SELECT color.red as red_value FROM 'topic/subtopic' Outgoing payload: {"red_value":255}

在 IoT Analytics 中解析 JSON 数组输入

Parse JSON array input in IoT Analytics

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