英文:
Jolt transform - how to rename field with field value?
问题
我想知道是否有办法使用JOLT转换将JSON属性的值与现有属性名称连接起来来重命名字段。
假设我们有以下输入:
{
"auth_id": "0000-0000-0000",
"read_time": "2022-01-10T00:00:00.0",
"src_name": "REQ-A001",
"reading_a": "150.18",
"reading_b": "12.10",
"reading_c": "3.00",
"note": 1
}
我期望的结果是将auth_id
和read_time
的字段值连接到所有现有字段名称之前,使用冒号(:
)作为分隔符,结果如下:
期望的输出:
{
"0000-0000-0000:2022-01-10T00:00:00.0:auth_id": "0000-0000-0000-0000-0000",
"0000-0000-0000:2022-01-10T00:00:00.0:read_time": "2022-01-10T00:00:00.0",
"0000-0000-0000:2022-01-10T00:00:00.0:src_name": "REQ-A001",
"0000-0000-0000:2022-01-10T00:00:00.0:reading_a": "150.18",
"0000-0000-0000:2022-01-10T00:00:00.0:reading_b": "12.10",
"0000-0000-0000:2022-01-10T00:00:00.0:reading_c": "3.00",
"0000-0000-0000:2022-01-10T00:00:00.0:note": 1
}
到目前为止,我参考了以下内容:
- Khusan Sharipov的问题 有关连接字段值的问题
- DSC的JOLT文档摘要 以了解运算符的工作方式
并创建了以下JOLT规范:
[
{
"operation": "modify-default-beta",
"spec": {
// 连接字段值auth_id和read_time,使用冒号作为分隔符
"ukey": "=concat(@(1,auth_id),':',@(1,read_time))"
}
},
{
"operation": "shift",
"spec": {
"*": {
// 在字段名称之前连接字段值
"@": "@(2,ukey):&"
}
}
}
]
但我得到了以下输出:
{
"0000-0000-0000:2022-01-10T00:00:00.0": {
":auth_id": "0000-0000-0000",
":read_time": "2022-01-10T00:00:00.0",
":src_name": "REQ-A001",
":reading_a": "150.18",
":reading_b": "12.10",
":reading_c": "3.00",
":note": 1
}
}
我期望将JOLT规范应用于Nifi中的JoltTransformJSON处理器。
非常感谢任何帮助或指导!
英文:
I'm wondering if there is any way to rename the field by concatenating the values of JSON attributes into existing attribute names using JOLT transformation.
Suppose we have input here:
{
"auth_id": "0000-0000-0000",
"read_time": "2022-01-10T00:00:00.0",
"src_name": "REQ-A001",
"reading_a": "150.18",
"reading_b": "12.10",
"reading_c": "3.00",
"note": 1
}
What I expect is to concatenate field values from auth_id
and read_time
before all existing field name, with a colon (:
) as separator and the result would become:
Expected:
{
"0000-0000-0000:2022-01-10T00:00:00.0:auth_id": "0000-0000-0000-0000-0000",
"0000-0000-0000:2022-01-10T00:00:00.0:read_time": "2022-01-10T00:00:00.0",
"0000-0000-0000:2022-01-10T00:00:00.0:src_name": "REQ-A001",
"0000-0000-0000:2022-01-10T00:00:00.0:reading_a": "150.18",
"0000-0000-0000:2022-01-10T00:00:00.0:reading_b": "12.10",
"0000-0000-0000:2022-01-10T00:00:00.0:reading_c": "3.00",
"0000-0000-0000:2022-01-10T00:00:00.0:note": 1
}
So far I've referred to
- Khusan Sharipov's question for concatenating field value
- DSC's digest of JOLT documentation to clarify how the operators do their job
and come up with a JOLT spec:
[
{
"operation": "modify-default-beta",
"spec": {
// concatenate field value auth_id and read_time, while using ":" as separator
"ukey": "=concat(@(1,auth_id),':',@(1,read_time))"
}
},
{
"operation": "shift",
"spec": {
"*": {
// concatenate field values before field name
"@": "@(2,ukey):&"
}
}
}
]
But I got this output:
{
"0000-0000-0000:2022-01-10T00:00:00.0": {
":auth_id": "0000-0000-0000",
":read_time": "2022-01-10T00:00:00.0",
":src_name": "REQ-A001",
":reading_a": "150.18",
":reading_b": "12.10",
":reading_c": "3.00",
":note": 1
}
}
I expect to use the JOLT spec in the JoltTransformJSON processor in Nifi.
Any help or guidance is much appreciated!
答案1
得分: 1
以下是翻译好的部分:
You can use the following transformation spec
[
{
"operation": "modify-overwrite-beta",
"spec": {
"ukey": "=concat(@(1,auth_id),':',@(1,read_time),':')"
}
},
{
"operation": "shift",
"spec": {
"*": {
"$": "@(0)" // reverse key-value pairs
},
"ukey": "&"
}
},
{
"operation": "modify-overwrite-beta",
"spec": {
"*": "=concat(@(1,ukey),@(1,&))"
}
},
{
"operation": "remove",
"spec": {
"ukey": ""
}
},
{
"operation": "shift",
"spec": {
"*": {
"$": "@(0)" // reverse key-value pairs back
}
}
},
{
"operation": "modify-overwrite-beta",
"spec": {
"*note": "=toInteger"
}
}
]
在网站http://jolt-demo.appspot.com/上的 demo1 是 :
备选选项,它产生相同的结果,使用了已经存在的 modify 转换后的连续 shift 转换规格,如下所示
[
{
"operation": "modify-default-beta",
"spec": {
"ukey": "=concat(@(1,auth_id),':',@(1,read_time))"
}
},
{ // nest the attributes under common object with "ukey" key
"operation": "shift",
"spec": {
"*": {
"@": "@(2,ukey).&"
}
}
},
{// concatenate upper object and one level inner object keys for the attributes except for "ukey"
"operation": "shift",
"spec": {
"*": {
"*": {
"@": "&2:&1" // concatenation
},
"ukey": { // exception case
"*": {
"*": ""
}
}
}
}
}
]
在网站http://jolt-demo.appspot.com/上的 demo2 是 :
英文:
You can use the following transformation spec
[
{
"operation": "modify-overwrite-beta",
"spec": {
"ukey": "=concat(@(1,auth_id),':',@(1,read_time),':')"
}
},
{
"operation": "shift",
"spec": {
"*": {
"$": "@(0)" // reverse key-value pairs
},
"ukey": "&"
}
},
{
"operation": "modify-overwrite-beta",
"spec": {
"*": "=concat(@(1,ukey),@(1,&))"
}
},
{
"operation": "remove",
"spec": {
"ukey": ""
}
},
{
"operation": "shift",
"spec": {
"*": {
"$": "@(0)" // reverse key-value pairs back
}
}
},
{
"operation": "modify-overwrite-beta",
"spec": {
"*note": "=toInteger"
}
}
]
the demo1 on the site http://jolt-demo.appspot.com/ is :
the alternative option, which gives the same result , uses consecutive shift transformation specs after having used the modify transformation you already have, as follows
[
{
"operation": "modify-default-beta",
"spec": {
"ukey": "=concat(@(1,auth_id),':',@(1,read_time))"
}
},
{ // nest the attributes under common object with "ukey" key
"operation": "shift",
"spec": {
"*": {
"@": "@(2,ukey).&"
}
}
},
{// concatenate upper object and one level inner object keys for the attributes except for "ukey"
"operation": "shift",
"spec": {
"*": {
"*": {
"@": "&2:&1" // concatenation
},
"ukey": { // exception case
"*": {
"*": ""
}
}
}
}
}
]
the demo2 on the site http://jolt-demo.appspot.com/ is :
答案2
得分: 1
以下是翻译好的部分:
你可以使用这个更短的规范:
[
{
"operation": "shift",
"spec": {
"*": "@(1,auth_id).@(1,read_time).&"
}
},
{
"operation": "shift",
"spec": {
"*": {
"*": {
"*": "&2:&1:&"
}
}
}
}
]
或者你可以使用另一种方法,就像下面这样:
[
{
"operation": "shift",
"spec": {
"*": {
"@(2,auth_id)": "keys[#2]",
"@(2,read_time)": "keys[#2]",
"$": "keys[#2]",
"@": "values"
}
}
},
{
"operation": "modify-overwrite-beta",
"spec": {
"keys": {
"*": "=join(':',@0)"
}
}
},
{
"operation": "shift",
"spec": {
"values": {
"*": "@(2,keys[#1])"
}
}
}
]
1, Shift操作 分别创建keys
和values
。
2, Modify操作 用:
连接所有的keys
。
3, Shift操作 创建我们期望的输出。
注意: 请分别运行每个规范以更好地理解这段代码。
英文:
You can use this shorter spec:
[
{
"operation": "shift",
"spec": {
"*": "@(1,auth_id).@(1,read_time).&"
}
},
{
"operation": "shift",
"spec": {
"*": {
"*": {
"*": "&2:&1:&"
}
}
}
}
]
Or you can use another way like below:
[
{
"operation": "shift",
"spec": {
"*": {
"@(2,auth_id)": "keys[#2]",
"@(2,read_time)": "keys[#2]",
"$": "keys[#2]",
"@": "values"
}
}
},
{
"operation": "modify-overwrite-beta",
"spec": {
"keys": {
"*": "=join(':',@0)"
}
}
},
{
"operation": "shift",
"spec": {
"values": {
"*": "@(2,keys[#1])"
}
}
}
]
1, Shift operation Create keys
and values
separately.
2, Modify operation Concate all keys
with :
.
3, Shift operation Create our desired output.
Note: Please run each spec separately to understand this code better.
通过集体智慧和协作来改善编程学习和解决问题的方式。致力于成为全球开发者共同参与的知识库,让每个人都能够通过互相帮助和分享经验来进步。
评论