英文:
Jolt flattening of array introduces unwanted null array item
问题
我们有一个需求要展平一个JSON对象。我们有以下输入JSON数据:
{
"changes": [
{
"l1_Entity_Id": 7004,
"l1_Entity_Nm": "Academic Administration2",
"visibility": false,
"L2_Entities": [
{
"L2_Entity_Id": 8003,
"L2_Entity_Nm": "Desktop Software2",
"visibility": 1,
"primary_triage": "EAAS",
"markham_triage": "MK_Team1",
"Faculty_Support": [
"Faculty1",
"Faculty2",
"Faculty4"
],
"hasReference": true
}
]
},
{
"l1_Entity_Id": 7002,
"l1_Entity_Nm": "Telephony5",
"visibility": false,
"L2_Entities": [
{
"L2_Entity_Id": 8005,
"L2_Entity_Nm": "Automatic Call Distribution3",
"visibility": 1,
"primary_triage": "Telecom",
"markham_triage": null,
"Faculty_Support": [
"Faculty3",
"Faculty4"
],
"hasReference": true
},
{
"L2_Entity_Id": 8004,
"L2_Entity_Nm": "Phone",
"visibility": 1,
"primary_triage": null,
"markham_triage": null,
"Faculty_Support": [
"Faculty1"
],
"hasReference": true
}
]
}
],
"methodName": "generateEntitiesChgReport"
}
展开后,我们想要的输出数据如下:
[
{
"l1_Entity_Nm": "Academic Administration2",
"L1_visibility": false,
"L2_Entity_Id": 8003,
"L2_Entity_Nm": "Desktop Software2",
"aggregateNm": "Academic Administration2>Desktop Software2",
"L2_visibility": 1,
"primary_triage": "EAAS",
"isMarkham": true,
"markham_triage": "MK_Team1",
"Faculty_Support": [
"Faculty1",
"Faculty2",
"Faculty4"
]
},
{
"l1_Entity_Nm": "Telephony5",
"L1_visibility": false,
"L2_Entity_Id": 8005,
"L2_Entity_Nm": "Automatic Call Distribution3",
"aggregateNm": "Telephony5>Automatic Call Distribution3",
"L2_visibility": 1,
"primary_triage": "Telecom",
"isMarkham": false,
"markham_triage": null,
"Faculty_Support": [
"Faculty3",
"Faculty4"
]
},
{
"l1_Entity_Nm": "Telephony5",
"L2_Entity_Id": 8004,
"L2_Entity_Nm": "Phone",
"aggregateNm": "Telephony5>Phone",
"L2_visibility": 1,
"primary_triage": null,
"isMarkham": false,
"markham_triage": null,
"Faculty_Support": [
"Faculty1"
]
}
]
我们几乎用以下Jolt规范得到了想要的输出:
[
{
"operation": "shift",
"spec": {
"changes": {
"*": {
"L2_Entities": {
"*": {
"@": "&[&3]",
"@(2,l1_Entity_Id)": "&[&3].l1_Entity_Id",
"@(2,l1_Entity_Nm)": "&[&3].l1_Entity_Nm",
"@(2,l1_visibility)": "&[&3].l1_visibility"
}
}
}
}
}
},
{
"operation": "shift",
"spec": {
"*": {
"*": "[]"
}
}
}
]
然而,它在第二个JSON对象之后引入了一个不需要的null,如下所示:
[ {
"L2_Entity_Id" : 8003,
"L2_Entity_Nm" : "Desktop Software2",
"visibility" : 1,
"primary_triage" : "EAAS",
"markham_triage" : "MK_Team1",
"Faculty_Support" : [ "Faculty1", "Faculty2", "Faculty4" ],
"hasReference" : true,
"l1_Entity_Id" : 7004,
"l1_Entity_Nm" : "Academic Administration2"
}, {
"L2_Entity_Id" : 8005,
"L2_Entity_Nm" : "Automatic Call Distribution3",
"visibility" : 1,
"primary_triage" : "Telecom",
"markham_triage" : null,
"Faculty_Support" : [ "Faculty3", "Faculty4" ],
"hasReference" : true,
"l1_Entity_Id" : 7002,
"l1_Entity_Nm" : "Telephony5"
}, null, {
"L2_Entity_Id" : 8004,
"L2_Entity_Nm" : "Phone",
"visibility" : 1,
"primary_triage" : null,
"markham_triage" : null,
"Faculty_Support" : [ "Faculty1" ],
"hasReference" : true,
"l1_Entity_Id" : 7002,
"l1_Entity_Nm" : "Telephony5"
} ]
希望有人能帮助我们解决这个问题。感谢您们提供的任何帮助。
英文:
we have a requirement to flatten a JSON object. We have input JSON data that looks like this:
{
"changes": [
{
"l1_Entity_Id": 7004,
"l1_Entity_Nm": "Academic Administration2",
"visibility": false,
"L2_Entities": [
{
"L2_Entity_Id": 8003,
"L2_Entity_Nm": "Desktop Software2",
"visibility": 1,
"primary_triage": "EAAS",
"markham_triage": "MK_Team1",
"Faculty_Support": [
"Faculty1",
"Faculty2",
"Faculty4"
],
"hasReference": true
}
]
},
{
"l1_Entity_Id": 7002,
"l1_Entity_Nm": "Telephony5",
"visibility": false,
"L2_Entities": [
{
"L2_Entity_Id": 8005,
"L2_Entity_Nm": "Automatic Call Distribution3",
"visibility": 1,
"primary_triage": "Telecom",
"markham_triage": null,
"Faculty_Support": [
"Faculty3",
"Faculty4"
],
"hasReference": true
},
{
"L2_Entity_Id": 8004,
"L2_Entity_Nm": "Phone",
"visibility": 1,
"primary_triage": null,
"markham_triage": null,
"Faculty_Support": [
"Faculty1"
],
"hasReference": true
}
]
}
],
"methodName": "generateEntitiesChgReport"
}
Once shifted, we'd like output data like this:
[
{
"l1_Entity_Nm": "Academic Administration2",
"L1_visibility": false,
"L2_Entity_Id": 8003,
"L2_Entity_Nm": "Desktop Software2",
"aggregateNm": "Academic Administration2>Desktop Software2",
"L2_visibility": 1,
"primary_triage": "EAAS",
"isMarkham": true,
"markham_triage": "MK_Team1",
"Faculty_Support": [
"Faculty1",
"Faculty2",
"Faculty4"
]
},
{
"l1_Entity_Nm": "Telephony5",
"L1_visibility": false,
"L2_Entity_Id": 8005,
"L2_Entity_Nm": "Automatic Call Distribution3",
"aggregateNm": "Telephony5>Automatic Call Distribution3",
"L2_visibility": 1,
"primary_triage": "Telecom",
"isMarkham": false,
"markham_triage": null,
"Faculty_Support": [
"Faculty3",
"Faculty4"
]
},
{
"l1_Entity_Nm": "Telephony5",
"L2_Entity_Id": 8004,
"L2_Entity_Nm": "Phone",
"aggregateNm": "Telephony5>Phone",
"L2_visibility": 1,
"primary_triage": null,
"isMarkham": false,
"markham_triage": null,
"Faculty_Support": [
"Faculty1"
]
}
]
We almost got the desired output with the Jolt spec below:
[
{
"operation": "shift",
"spec": {
"changes": {
"*": {
"L2_Entities": {
"*": {
"@": "&[&3]",
"@(2,l1_Entity_Id)": "&[&3].l1_Entity_Id",
"@(2,l1_Entity_Nm)": "&[&3].l1_Entity_Nm",
"@(2,l1_visibility)": "&[&3].l1_visibility"
}
}
}
}
}
},
{
"operation": "shift",
"spec": {
"*": {
"*": "[]"
}
}
}
]
However, it introduces an unwanted null after second json object as shown below:
[ {
"L2_Entity_Id" : 8003,
"L2_Entity_Nm" : "Desktop Software2",
"visibility" : 1,
"primary_triage" : "EAAS",
"markham_triage" : "MK_Team1",
"Faculty_Support" : [ "Faculty1", "Faculty2", "Faculty4" ],
"hasReference" : true,
"l1_Entity_Id" : 7004,
"l1_Entity_Nm" : "Academic Administration2"
}, {
"L2_Entity_Id" : 8005,
"L2_Entity_Nm" : "Automatic Call Distribution3",
"visibility" : 1,
"primary_triage" : "Telecom",
"markham_triage" : null,
"Faculty_Support" : [ "Faculty3", "Faculty4" ],
"hasReference" : true,
"l1_Entity_Id" : 7002,
"l1_Entity_Nm" : "Telephony5"
}, null, {
"L2_Entity_Id" : 8004,
"L2_Entity_Nm" : "Phone",
"visibility" : 1,
"primary_triage" : null,
"markham_triage" : null,
"Faculty_Support" : [ "Faculty1" ],
"hasReference" : true,
"l1_Entity_Id" : 7002,
"l1_Entity_Nm" : "Telephony5"
} ]
I hope someone can help us to resolve the issue. Thank you all for any help you might give us.
答案1
得分: 1
你可以使用 *
符号而不是 @
符号,以及与非方括号的和号一起使用,例如:
[
{
"operation": "shift",
"spec": {
"changes": {
"*": {
"L2_Entities": {
"*": {
"*": "&3.&1.&",
"@2,l1_Entity_Id": "&3.&1.l1_Entity_Id",
"@2,l1_Entity_Nm": "&3.&1.l1_Entity_Nm",
"@2,l1_visibility": "&3.&1.l1_visibility"
}
}
}
}
}
},
{ // 去掉对象键
"operation": "shift",
"spec": {
"*": {
"*": ""
}
}
}
]
或者你可以使转换更加动态,无需逐个列出每个属性,如:
[
{
"operation": "shift",
"spec": {
"*": {
"*": {
"l1*": "&2.&1.Others.&",
"L2_Entities": "&2.&1.&"
}
}
}
},
{
"operation": "shift",
"spec": {
"*": {
"*": {
"L2_Entities": {
"*": {
"@2,Others": { "*": "&4.&2.&" },
"*": "&3.&1.&"
}
}
}
}
}
},
{ // 去掉对象键
"operation": "shift",
"spec": {
"*": {
"*": ""
}
}
}
]
演示2:
英文:
You can rather use *
symbol than @
symbol along with non-square-bracketed ampersands such as
[
{
"operation": "shift",
"spec": {
"changes": {
"*": {
"L2_Entities": {
"*": {
"*": "&3.&1.&",
"@2,l1_Entity_Id": "&3.&1.l1_Entity_Id",
"@2,l1_Entity_Nm": "&3.&1.l1_Entity_Nm",
"@2,l1_visibility": "&3.&1.l1_visibility"
}
}
}
}
}
},
{ // get rid of the object keys
"operation": "shift",
"spec": {
"*": {
"*": ""
}
}
}
]
or you can make the transformation more dynamic in which no need to state each attributes individually such as
[
{
"operation": "shift",
"spec": {
"*": {
"*": { // loop through all the "changes"
"l1*": "&2.&1.Others.&", // accumulate the elements other than "L2_Entities" and "visibility" within an individual object caled "Others"
"L2_Entities": "&2.&1.&"
}
}
}
},
{
"operation": "shift",
"spec": {
"*": {
"*": {
"L2_Entities": {
"*": {
"@2,Others": { "*": "&4.&2.&" }, // go two levels up the tree to grab the whole values from the "Others" object
"*": "&3.&1.&"
}
}
}
}
}
},
{ // get rid of the object keys
"operation": "shift",
"spec": {
"*": {
"*": ""
}
}
}
]
the demo 2 :
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