[英]Stream Analytics - Processing JSON with no array name
IoT Edge v2 with the modbus module sends data to IoT Hub in the format of: 带有modbus模块的IoT Edge v2将数据发送到IoT中心,格式为:
[
{
"DisplayName": "Voltage",
"HwId": "",
"Address": "400001",
"Value": "200",
"SourceTimestamp": "2019-01-03 23:40:24"
},
{
"DisplayName": "Voltage",
"HwId": "",
"Address": "400002",
"Value": "24503",
"SourceTimestamp": "2019-01-03 23:40:24"
},
...
]
I want to convert this array to rows using a stream analytics query containing the CROSS APPLY GetArrayElements() but this function requires an array name. 我想使用包含CROSS APPLY GetArrayElements()的流分析查询将此数组转换为行,但是此函数需要一个数组名称。 Obviously there is no name.
显然没有名字。 Any suggestions?
有什么建议么?
https://docs.microsoft.com/en-us/stream-analytics-query/getarrayelements-azure-stream-analytics https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-parsing-json https://docs.microsoft.com/zh-CN/stream-analytics-query/getarrayelements-azure-stream-analytics https://docs.microsoft.com/zh-CN/azure/stream-analytics/stream-analytics -parsing-json
Yes, it needs an array name. 是的,它需要一个数组名称。
CROSS APPLY GetArrayElements()
is used for nested array. CROSS APPLY GetArrayElements()
用于嵌套数组。
Example: 例:
[{
"source": "xda",
"data":
[{
"masterTag": "UNIFY1",
"speed": 180
},
{
"masterTag": "UNIFY2",
"speed": 180
}],
"EventEnqueuedUtcTime": "2018-07-20T19:28:18.5230000Z",
},
{
"source": "xda",
"data": [{
"masterTag": "UNIFY3",
"speed": 214
},
{
"masterTag": "UNIFY4",
"speed": 180
}],
"EventEnqueuedUtcTime": "2018-07-20T19:28:20.5550000Z",
}
]
You could use below sql to convert it to rows: 您可以使用下面的sql将其转换为行:
SELECT
jsoninput.source,
arrayElement.ArrayValue.masterTag
INTO
output
FROM jsoninput
CROSS APPLY GetArrayElements(jsoninput.data) AS arrayElement
However ,now the input data you provided is a pure array. 但是,现在您提供的输入数据是纯数组。 If you want to convert this array to rows, just use sql:
如果要将此数组转换为行,只需使用sql:
select jsoninput.* from jsoninput
You don't have to use GetArrayElements. 您不必使用GetArrayElements。 Just selecting json array as input format is enough.
仅选择json数组作为输入格式就足够了。 Stream analytics reads each object in the array as a record.
流分析将读取数组中的每个对象作为记录。 Same with line or whitespace separated jain objects, each object is read as a record.
与行或空格分隔的ja那教对象相同,每个对象都作为记录读取。
声明:本站的技术帖子网页,遵循CC BY-SA 4.0协议,如果您需要转载,请注明本站网址或者原文地址。任何问题请咨询:yoyou2525@163.com.