NiFi 中的 JoltTransformJSON 处理器(json 没有任何父标签)
JoltTransformJSON processor in NiFi(json without any parent tag)
我需要使用 Nifi 内部的 JoltTransformJSON 转换 JSON 数据,这是我用于转换的规范:
[{
"operation": "shift",
"spec": {
"*": {
"Header": {
"readOn": "created_date_time",
"fileName": "readFile"
},
"Data": {
"id": "Id",
"first_name": "First_Name",
"last_name": "Last_Name",
}
}
}}]
我的输入数据:
[{
"Header": {
"readOn": "2017/04/18 10:55:05",
"fileName": "sample1.csv",
"recordNum": 1
},
"Data": {
"last_name": "Martin",
"id": 21,
"first_name": "Clarence"
}
}, {
"Header": {
"readOn": "2017/04/18 10:55:05",
"fileName": "sample.csv",
"recordNum": 2
},
"Data": {
"last_name": "Graham",
"id": 22,
"first_name": "Walter"
}
}]
输出我得到的:
{
"created_date_time": ["2017/04/18 10:55:05", "2017/04/18 10:55:05"],
"readFile": ["sample1.csv", "sample2.csv"],
"Id": [21, 22],
"First_Name": ["Clarence", "Walter"],
"Last_Name": ["Martin", "Graham"]
}
要求输出:
[{
"recordNum": 1,
"Header": {
"created_date_time": "2017/04/18 10:55:05",
"readFile": "getusroi.csv"
},
"Data": {
"Last_Name": "Martin",
"Id": 21,
"First_Name": "Clarence"
}
}, {
"recordNum": 2,
"Header": {
"created_date_time": "2017/04/18 10:55:05",
"readFile": "getusroi.csv"
},
"Data": {
"Last_Name": "Graham",
"Id": 22,
"First_Name": "Walter"
}
}]
问题:有人可以指导我在哪些地方需要更改我的 jolt 规格以实现所需的转换输出。
诀窍是沿着树往回走,直到到达数组中的元素,然后您可以在目标中引用该索引。试试这个规范:
[
{
"operation": "shift",
"spec": {
"*": {
"Header": {
"recordNum": "[&2].recordNum",
"readOn": "[&2].&1.created_date_time",
"fileName": "[&2].&1.readFile"
},
"Data": {
"id": "[&2].&1.Id",
"first_name": "[&2].&1.First_Name",
"last_name": "[&2].&1.Last_Name"
}
}
}
}
]
我需要使用 Nifi 内部的 JoltTransformJSON 转换 JSON 数据,这是我用于转换的规范:
[{
"operation": "shift",
"spec": {
"*": {
"Header": {
"readOn": "created_date_time",
"fileName": "readFile"
},
"Data": {
"id": "Id",
"first_name": "First_Name",
"last_name": "Last_Name",
}
}
}}]
我的输入数据:
[{
"Header": {
"readOn": "2017/04/18 10:55:05",
"fileName": "sample1.csv",
"recordNum": 1
},
"Data": {
"last_name": "Martin",
"id": 21,
"first_name": "Clarence"
}
}, {
"Header": {
"readOn": "2017/04/18 10:55:05",
"fileName": "sample.csv",
"recordNum": 2
},
"Data": {
"last_name": "Graham",
"id": 22,
"first_name": "Walter"
}
}]
输出我得到的:
{
"created_date_time": ["2017/04/18 10:55:05", "2017/04/18 10:55:05"],
"readFile": ["sample1.csv", "sample2.csv"],
"Id": [21, 22],
"First_Name": ["Clarence", "Walter"],
"Last_Name": ["Martin", "Graham"]
}
要求输出:
[{
"recordNum": 1,
"Header": {
"created_date_time": "2017/04/18 10:55:05",
"readFile": "getusroi.csv"
},
"Data": {
"Last_Name": "Martin",
"Id": 21,
"First_Name": "Clarence"
}
}, {
"recordNum": 2,
"Header": {
"created_date_time": "2017/04/18 10:55:05",
"readFile": "getusroi.csv"
},
"Data": {
"Last_Name": "Graham",
"Id": 22,
"First_Name": "Walter"
}
}]
问题:有人可以指导我在哪些地方需要更改我的 jolt 规格以实现所需的转换输出。
诀窍是沿着树往回走,直到到达数组中的元素,然后您可以在目标中引用该索引。试试这个规范:
[
{
"operation": "shift",
"spec": {
"*": {
"Header": {
"recordNum": "[&2].recordNum",
"readOn": "[&2].&1.created_date_time",
"fileName": "[&2].&1.readFile"
},
"Data": {
"id": "[&2].&1.Id",
"first_name": "[&2].&1.First_Name",
"last_name": "[&2].&1.Last_Name"
}
}
}
}
]