I have some datetime marks, and what I pretend is to group it in the quarter of hour just before it.
I have, e.g., this data:
[
{
"id": "123",
"dateTime": "2020-07-08T08:49:50+02:00",
"value": "1"
},
{
"id": "123",
"dateTime": "2020-07-08T13:14:57+02:00",
"value": "1"
},
{
"id": "123",
"dateTime": "2020-07-08T13:15:15+02:00",
"value": "1"
},
{
"id": "123",
"dateTime": "2020-07-08T13:36:39+02:00",
"value": "1"
}
]
After some JOLT Transformations, I have this data:
[ {
"id" : "123",
"dateHour" : "2020-07-08T08",
"minutes" : "45",
"value" : "1"
}, {
"id" : "123",
"dateHour" : "2020-07-08T13",
"minutes" : "0",
"value" : "1"
}, {
"id" : "123",
"dateHour" : "2020-07-08T13",
"minutes" : "15",
"value" : "1"
}, {
"id" : "123",
"dateHour" : "2020-07-08T13",
"minutes" : "30",
"value" : "1"
} ]
here, I have a problem. With the webpage http://jolt-demo.appspot.com/, I have managed to convert that "0" in "00" with the following JOLT code
[
{ "operation": "modify-overwrite-beta",
"spec": {
"*": {
"minutes": "=concat('0',#(0))"
}
}
},
{ "operation": "modify-overwrite-beta",
"spec": {
"*": {
"minutes": "=substring(#(1,minutes),1,3)"
}
}
}
]
Expected output (and achived with the webpage):
[ {
"id" : "123",
"dateHour" : "2020-07-08T08",
"minutes" : "45",
"value" : "1"
}, {
"id" : "123",
"dateHour" : "2020-07-08T13",
"minutes" : "00",
"value" : "1"
}, {
"id" : "123",
"dateHour" : "2020-07-08T13",
"minutes" : "15",
"value" : "1"
}, {
"id" : "123",
"dateHour" : "2020-07-08T13",
"minutes" : "30",
"value" : "1"
} ]
Real output in NiFi:
[ {
"id" : "123",
"dateHour" : "2020-07-08T08",
"minutes" : "045",
"value" : "1"
}, {
"id" : "123",
"dateHour" : "2020-07-08T13",
"minutes" : "00",
"value" : "1"
}, {
"id" : "123",
"dateHour" : "2020-07-08T13",
"minutes" : "015",
"value" : "1"
}, {
"id" : "123",
"dateHour" : "2020-07-08T13",
"minutes" : "030",
"value" : "1"
} ]
For some reason, "=substring()" function doesn't work as I expected in NiFi. Does anyone have any knack to take the last 2 items of the string?
You can convert to number and leftPad it. See if it helps
[
{
"operation": "modify-overwrite-beta",
"spec": {
"*": {
"minutes": ["=toInteger", 0]
}
}
},
{
"operation": "modify-overwrite-beta",
"spec": {
"*": {
"minutes": "=toString"
}
}
},
{
"operation": "modify-overwrite-beta",
"spec": {
"*": {
"minutes": "=leftPad(#(1,minutes),2,'0')"
}
}
}
]
Input:
[
{
"id": "123",
"dateHour": "2020-07-08T08",
"minutes": "045",
"value": "1"
},
{
"id": "123",
"dateHour": "2020-07-08T13",
"minutes": "00",
"value": "1"
},
{
"id": "123",
"dateHour": "2020-07-08T13",
"minutes": "015",
"value": "1"
},
{
"id": "123",
"dateHour": "2020-07-08T13",
"minutes": "030",
"value": "1"
}
]
output:
[ {
"id" : "123",
"dateHour" : "2020-07-08T08",
"minutes" : "45",
"value" : "1"
}, {
"id" : "123",
"dateHour" : "2020-07-08T13",
"minutes" : "00",
"value" : "1"
}, {
"id" : "123",
"dateHour" : "2020-07-08T13",
"minutes" : "15",
"value" : "1"
}, {
"id" : "123",
"dateHour" : "2020-07-08T13",
"minutes" : "30",
"value" : "1"
} ]
Related
I started with an input JSON as such.
{
"trackingNumber": "1ZEA83550362028861",
"localActivityDate": "20210324",
"localActivityTime": "183500",
"scheduledDeliveryDate": "20210324",
"actualDeliveryDate": "20210324",
"actualdeliveryTime": "183500",
"gmtActivityDate": "20210324",
"gmtActivityTime": "223500",
"activityStatus": {
"type": "G",
"code": "OR",
"description": "Origin Scan"
},
"activityLocation": {
"city": "RANDALLSTOWN,",
"stateProvince": "MD",
"postalCode": "21133",
"country": "US"
}
}
This is the JOLT transformation spec that i have written as of now.
[
{
"operation": "modify-overwrite-beta",
"spec": {
"tsY": "=substring(#(1,localActivityDate),0,4)",
"tsM": "=substring(#(1,localActivityDate),4,6)",
"tsD": "=substring(#(1,localActivityDate),6,8)",
"tsH": "=substring(#(1,localActivityTime),0,2)",
"tsMi": "=substring(#(1,localActivityTime),2,4)",
"tsS": "=substring(#(1,localActivityTime),4,6)",
"timeStamp": "=concat(#(1,tsY),'-',#(1,tsM),'-',#(1,tsD),'T',#(1,tsH),':',#(1,tsMi),':',#(1,tsS),'Z')",
"aTY": "=substring(#(1,scheduledDeliveryDate),0,4)",
"aTM": "=substring(#(1,scheduledDeliveryDate),4,6)",
"aTD": "=substring(#(1,scheduledDeliveryDate),6,8)",
"appointmentTime": "=concat(#(1,aTY),'-',#(1,aTM),'-',#(1,aTD))",
"dTY": "=substring(#(1,actualDeliveryDate),0,4)",
"dTM": "=substring(#(1,actualDeliveryDate),4,6)",
"dTD": "=substring(#(1,actualDeliveryDate),6,8)",
"dTH": "=substring(#(1,actualdeliveryTime),0,2)",
"dTMi": "=substring(#(1,actualdeliveryTime),2,4)",
"dTS": "=substring(#(1,actualdeliveryTime),4,6)",
"deliveryTime": "=concat(#(1,dTY),'-',#(1,dTM),'-',#(1,dTD),'T',#(1,dTH),':',#(1,dTMi),':',#(1,dTS),'Z')"
}
},
{
"operation": "shift",
"spec": {
"*Number": "transformedPayload.&(0,1)Info",
"activityStatus": {
"*": "transformedPayload.events.&"
},
"activityLocation": {
"*": "transformedPayload.address.&"
},
"timeStamp": "transformedPayload.events[0].&",
"appointmentTime": "transformedPayload.events[1].&",
"deliveryTime": "transformedPayload.events[2].&",
"activityStatus": {
"type": "transformedPayload.events[0].type",
"code": "transformedPayload.events[0].statusCode",
"description": "transformedPayload.events[0].statusDescription"
},
"activityLocation": {
"city": "transformedPayload.address.city",
"stateProvince": "transformedPayload.address.state",
"postalCode": "transformedPayload.address.postalCode",
"country": "transformedPayload.address.country"
}
}
},
{
"operation": "modify-default-beta",
"spec": {
"metaData": {
"domain": "LTL",
"eventType": "statusUpdate",
"version": "v1"
},
"transformedPayload": {
"events": {
"[1]": {
"statusCode": "AB",
"statusDescription": "Delivery Scheduled"
},
"[2]": {
"statusCode": "D1",
"statusDescription": "Delivered"
}
}
}
}
}
]
The resultant JSON created by this transformation looks like this.
{
"transformedPayload" : {
"events" : [ {
"type" : "G",
"statusCode" : "OR",
"statusDescription" : "Origin Scan",
"timeStamp" : "2021-03-24T18:35:00Z"
}, {
"appointmentTime" : "2021-03-24",
"statusCode" : "AB",
"statusDescription" : "Delivery Scheduled"
}, {
"deliveryTime" : "2021-03-24T18:35:00Z",
"statusCode" : "D1",
"statusDescription" : "Delivered"
} ],
"address" : {
"city" : "RANDALLSTOWN,",
"state" : "MD",
"postalCode" : "21133",
"country" : "US"
},
"trackingInfo" : "1ZEA83550362028861"
},
"metaData" : {
"domain" : "LTL",
"eventType" : "statusUpdate",
"version" : "v1"
}
}
I just need a small tweak in this where the appointmentTime and the deliveryTime fields in the index [1] and [2] of the events array also need to be named as "timestamp" (as seen in the [0]th index). So that finally the correct output JSON looks something like this.
{
"transformedPayload" : {
"events" : [ {
"type" : "G",
"statusCode" : "OR",
"statusDescription" : "Origin Scan",
"timeStamp" : "2021-03-24T18:35:00Z"
}, {
"timestamp" : "2021-03-24",
"statusCode" : "AB",
"statusDescription" : "Delivery Scheduled"
}, {
"timestamp" : "2021-03-24T18:35:00Z",
"statusCode" : "D1",
"statusDescription" : "Delivered"
} ],
"address" : {
"city" : "RANDALLSTOWN,",
"state" : "MD",
"postalCode" : "21133",
"country" : "US"
},
"trackingInfo" : "1ZEA83550362028861"
},
"metaData" : {
"domain" : "LTL",
"eventType" : "statusUpdate",
"version" : "v1"
}
}
I have tried renaming the field in the shift operation itself but that did not work. I am completely new to JOLT transformation so it seems a bit tricky doing this small change. So any help is appreciated. Thanks
Just convert the related lines within the shift transformation spec from
"appointmentTime": "transformedPayload.events[1].&",
"deliveryTime": "transformedPayload.events[2].&",
to
"appointmentTime": "transformedPayload.events[1].timestamp",
"deliveryTime": "transformedPayload.events[2].timestamp",
instead of the replicating operator & used in the previous one.
I have an input JSON like this.
{
"trackingNumber": "1ZEA83550362028861",
"localActivityDate": "20210324",
"localActivityTime": "183500",
"scheduledDeliveryDate": "20220525",
"actualDeliveryDate": "20220729",
"actualdeliveryTime": "183500",
"gmtActivityDate": "20210324",
"gmtActivityTime": "223500",
"activityStatus": {
"type": "G",
"code": "OR",
"description": "Origin Scan"
},
"activityLocation": {
"city": "RANDALLSTOWN,",
"stateProvince": "MD",
"postalCode": "21133",
"country": "US"
}
}
I have written a jolt transformation for this JSON
[
{
"operation": "shift",
"spec": {
"trackingNumber": "transformedPayload.trackingInfo",
"localActivityDate": "tmp_Date",
"localActivityTime": "tmp_Time",
"scheduledDeliveryDate": "tmp_App",
"actualDeliveryDate": "tmp_Del_Date",
"actualdeliveryTime": "tmp_Del_Time",
"activityStatus": {
"type": "transformedPayload.events.type",
"code": "transformedPayload.events.statusCode",
"description": "transformedPayload.events.statusDescription"
},
"activityLocation": {
"city": "transformedPayload.address.city",
"stateProvince": "transformedPayload.address.state",
"postalCode": "transformedPayload.address.postalCode",
"country": "transformedPayload.address.country"
}
}
},
{
"operation": "modify-default-beta",
"spec": {
"tmp_Year": "=substring(#(1,tmp_Date),0,4)",
"tmp_Month": "=substring(#(1,tmp_Date),4,6)",
"tmp_Day": "=substring(#(1,tmp_Date),6,8)",
"tmp_Hours": "=substring(#(1,tmp_Time),0,2)",
"tmp_Minutes": "=substring(#(1,tmp_Time),2,4)",
"tmp_Seconds": "=substring(#(1,tmp_Time),4,6)",
"timeStamp": "=concat(#(1,tmp_Year),'-',#(1,tmp_Month),'-',#(1,tmp_Day),'T',#(1,tmp_Hours),':',#(1,tmp_Minutes),':',#(1,tmp_Seconds),'Z')",
"tmp_App_Year": "=substring(#(1,tmp_App),0,4)",
"tmp_App_Month": "=substring(#(1,tmp_App),4,6)",
"tmp_App_Day": "=substring(#(1,tmp_App),6,8)",
"appointmentTime": "=concat(#(1,tmp_App_Year),'-',#(1,tmp_App_Month),'-',#(1,tmp_App_Day))",
"tmp__Del_Year": "=substring(#(1,tmp_Del_Date),0,4)",
"tmp_Del_Month": "=substring(#(1,tmp_Del_Date),4,6)",
"tmp_Del_Day": "=substring(#(1,tmp_Del_Date),6,8)",
"tmp_Del_Hours": "=substring(#(1,tmp_Del_Time),0,2)",
"tmp_Del_Minutes": "=substring(#(1,tmp_Del_Time),2,4)",
"tmp_Del_Seconds": "=substring(#(1,tmp_Del_Time),4,6)",
"deliveryTime": "=concat(#(1,tmp__Del_Year),'-',#(1,tmp_Del_Month),'-',#(1,tmp_Del_Day),'T',#(1,tmp_Del_Hours),':',#(1,tmp_Del_Minutes),':',#(1,tmp_Del_Seconds),'Z')"
}
},
{
"operation": "remove",
"spec": {
"tmp_*": ""
}
}
]
This transforms the data into this format.
{
"transformedPayload" : {
"trackingInfo" : "1ZEA83550362028861",
"events" : {
"type" : "G",
"statusCode" : "OR",
"statusDescription" : "Origin Scan"
},
"address" : {
"city" : "RANDALLSTOWN,",
"state" : "MD",
"postalCode" : "21133",
"country" : "US"
}
},
"timeStamp" : "2021-03-24T18:35:00Z",
"appointmentTime" : "2022-05-25",
"deliveryTime" : "2022-07-29T18:35:00Z"
}
What changes do i need to make in the transformation such that the timestamp, appointmentTime and deliveryTime are also nested under transformedPayload i.e it looks like this (correct format).
{
"transformedPayload" : {
"trackingInfo" : "1ZEA83550362028861",
"events" : {
"type" : "G",
"statusCode" : "OR",
"statusDescription" : "Origin Scan"
},
"address" : {
"city" : "RANDALLSTOWN,",
"state" : "MD",
"postalCode" : "21133",
"country" : "US"
},
"timeStamp" : "2021-03-24T18:35:00Z",
"appointmentTime" : "2022-05-25",
"deliveryTime" : "2022-07-29T18:35:00Z"
}
}
This is my first time doing a jolt transformation so i am confused on how to resolve this. Any help is appreciated.
You are already so close to solution,I can offer the following spec similar to yours to the desired output :
[
{
"operation": "modify-overwrite-beta",
"spec": {
"tsY": "=substring(#(1,localActivityDate),0,4)",
"tsM": "=substring(#(1,localActivityDate),4,6)",
"tsD": "=substring(#(1,localActivityDate),6,8)",
"tsH": "=substring(#(1,localActivityTime),0,2)",
"tsMi": "=substring(#(1,localActivityTime),2,4)",
"tsS": "=substring(#(1,localActivityTime),4,6)",
"timeStamp": "=concat(#(1,tsY),'-',#(1,tsM),'-',#(1,tsD),'T',#(1,tsH),':',#(1,tsMi),':',#(1,tsS),'Z')",
"aTY": "=substring(#(1,scheduledDeliveryDate),0,4)",
"aTM": "=substring(#(1,scheduledDeliveryDate),4,6)",
"aTD": "=substring(#(1,scheduledDeliveryDate),6,8)",
"appointmentTime": "=concat(#(1,aTY),'-',#(1,aTM),'-',#(1,aTD))",
"dTY": "=substring(#(1,actualDeliveryDate),0,4)",
"dTM": "=substring(#(1,actualDeliveryDate),4,6)",
"dTD": "=substring(#(1,actualDeliveryDate),6,8)",
"dTH": "=substring(#(1,actualdeliveryTime),0,2)",
"dTMi": "=substring(#(1,actualdeliveryTime),2,4)",
"dTS": "=substring(#(1,actualdeliveryTime),4,6)",
"deliveryTime": "=concat(#(1,dTY),'-',#(1,dTM),'-',#(1,dTD),'T',#(1,dTH),':',#(1,dTMi),':',#(1,dTS),'Z')"
}
},
{
"operation": "shift",
"spec": {
"*Number": "&(0,1)Info",
"activityStatus": {
"*": "events.&"
},
"activityLocation": {
"*": "address.&"
},
"timeStamp": "&",
"appointmentTime": "&",
"deliveryTime": "&"
}
}
]
I am trying to convert a JSON to different format using JOLT (using NiFi JoltTransformJson processor).
Input Json
[
{
"date": "202001010000",
"name": "test1",
"val": "1",
"status": "0"
},
{
"date": "202001010000",
"name": "test2",
"val": "2",
"status": "0"
},
{
"date": "202001010001",
"name": "test1",
"val": "3",
"status": "0"
},
{
"date": "202001010001",
"name": "test2",
"val": "4",
"status": "0"
}
]
and I want to Output like
{
"202001010000" : [ {
"name" : "test1",
"val" : "1",
"status" : "0"
}, {
"name" : "test2",
"val" : "2",
"status" : "0"
}
],
"202001010001" : [ {
"name" : "test1",
"val" : "3",
"status" : "0"
}, {
"name" : "test2",
"val" : "4",
"status" : "0"
}
]
}
I'm trying to convert JSON format using Jolt Transform but it can't.
Make the date node value as key for each object in the array.
Remove the date node from the object.
Spec :
[
{
"operation": "shift",
"spec": {
"*": {
"date": {
"#1": "#(2,date)"
}
}
}
},
{
"operation": "remove",
"spec": {
"*": {
"*": {
"date": ""
}
}
}
}
]
I am trying to build complex nested array of JSON objects. I am struggling to get my expected structure using JOLT. Any help would be appreciated.
I am trying to understand JOLT from the appspot and it is hard for me to grasp about recursively iterating over data set.
The "JobId" should be same to milliseconds even if there are 1000 objects in array that is why i am generating "JobId" one time rather than in every object and try to move to right place in next iteration unsuccessfully.
The Input JSON is:
{
"type": "FeatureCollection",
"totalFeatures": 2,
"features": [
{
"type": "Feature",
"geometry": {
"type": "Point",
"coordinates": [
13.429916995511855,
52.54516530881942
]
},
"properties": {
"feature_type": "BLDG",
"feature_geometry": "point",
"discipline": "LOC",
"activity": "AC",
"be_number": 12313,
"category": 47400,
"condition": "RDY",
"review_date": "2018-03-28T21:36:32.325Z",
"role_type": "INSG",
"symbol_code": "-"
}
},
{
"type": "Feature",
"geometry": {
"type": "Point",
"coordinates": [
16.429916995511855,
91.54516530881942
]
},
"properties": {
"feature_type": "Bridge",
"feature_geometry": "point",
"discipline": "LOC",
"activity": "AC",
"co_number": 12313,
"category": 47400,
"condition": "RDY",
"review_date": "2018-03-28T21:36:32.325Z",
"role_type": "KLDV",
"symbol_code": "-"
}
}
]
}
The Spec I came up with so far:
[{
"operation": "shift",
"spec": {
"type": "type",
"features": {
"*": {
"geometry": {
"coordinates": {
"0": "FacilityComposite[&3].Facility.Ilat",
"1": "FacilityComposite[&3].Facility.Ilon"
}
},
"properties": {
"activity": "FacilityComposite[&2].Facility.Activity",
"be_number": "FacilityComposite[&2].Facility.BeNumber",
"category": "FacilityComposite[&2].Facility.Category",
"condition": "FacilityComposite[&2].Facility.Condition",
"role_type": ["FacilityComposite[&2].Facility.RoleType", "FacilityComposite[&2].FacForm.RoleType", "FacilityComposite[&2].FacTie[&2].RoleType"],
"review_date": ["FacilityComposite[&2].Facility.ReviewDate", "FacilityComposite[&2].FacForm.ReviewDate", "FacilityComposite[&2].FacTie[&2].ReviewDate"]
}
}
}
}
}, {
"operation": "default",
"spec": {
"JobId": "${now():toNumber()}",
"FacilityComposite[]": {
"*": {
"Facility": {
"FacSk": "-1",
"ClientId": "DISHNET",
"ReviewDate": "${now()}"
},
"FacForm": {
"FacSk": "-1",
"ClientId": "DISHNET"
},
"FacTie": [{
"FacTieSk": "-1",
"TieFromSk": "-1",
"TieToSk": "-1",
"ClientId": "DISHNET"
}]
}
}
}
}
]
The out put with the spec is:
{
"type" : "FeatureCollection",
"FacilityComposite" : [ {
"Facility" : {
"Ilat" : 13.429916995511855,
"Ilon" : 52.54516530881942,
"Activity" : "AC",
"BeNumber" : 12313,
"Category" : 47400,
"Condition" : "RDY",
"RoleType" : "INSG",
"ReviewDate" : "2018-03-28T21:36:32.325Z",
"ClientId" : "DISHNET",
"FacSk" : "-1"
},
"FacForm" : {
"RoleType" : "INSG",
"ReviewDate" : "2018-03-28T21:36:32.325Z",
"FacSk" : "-1",
"ClientId" : "DISHNET"
},
"FacTie" : [ {
"RoleType" : "INSG",
"ReviewDate" : "2018-03-28T21:36:32.325Z"
} ]
}, {
"Facility" : {
"Ilat" : 16.429916995511856,
"Ilon" : 91.54516530881942,
"Activity" : "AC",
"Category" : 47400,
"Condition" : "RDY",
"RoleType" : "KLDV",
"ReviewDate" : "2018-03-28T21:36:32.325Z",
"ClientId" : "DISHNET",
"FacSk" : "-1"
},
"FacForm" : {
"RoleType" : "KLDV",
"ReviewDate" : "2018-03-28T21:36:32.325Z",
"FacSk" : "-1",
"ClientId" : "DISHNET"
},
"FacTie" : [ null, {
"RoleType" : "KLDV",
"ReviewDate" : "2018-03-28T21:36:32.325Z"
} ]
} ],
"JobId" : "${now():toNumber()}"
}
Expected output is:
{
"type" : "FeatureCollection",
[
"FacilityComposite" : {
"Facility" : {
"JobId" : "${now():toNumber()}"
"Ilat" : 13.429916995511855,
"Ilon" : 52.54516530881942,
"Activity" : "AC",
"BeNumber" : 12313,
"Category" : 47400,
"Condition" : "RDY",
"RoleType" : "INSG",
"ReviewDate" : "2018-03-28T21:36:32.325Z",
"ClientId" : "DISHNET",
"FacSk" : "-1"
},
"FacForm" : {
"JobId" : "${now():toNumber()}"
"RoleType" : "INSG",
"ReviewDate" : "2018-03-28T21:36:32.325Z",
"FacSk" : "-1",
"ClientId" : "DISHNET"
},
"FacTie" : [ {
"FacTieSk": "-1",
"TieFromSk": "-1",
"TieToSk": "-1",
"JobId" : "${now():toNumber()}"
"ClientId": "DISHNET"
"RoleType" : "INSG",
"ReviewDate" : "2018-03-28T21:36:32.325Z"
} ]
},
"FacilityComposite" :{
"Facility" : {
"JobId" : "${now():toNumber()}"
"Ilat" : 16.429916995511856,
"Ilon" : 91.54516530881942,
"Activity" : "AC",
"Category" : 47400,
"Condition" : "RDY",
"RoleType" : "KLDV",
"ReviewDate" : "2018-03-28T21:36:32.325Z",
"ClientId" : "DISHNET",
"FacSk" : "-1"
},
"FacForm" : {
"JobId" : "${now():toNumber()}"
"RoleType" : "KLDV",
"ReviewDate" : "2018-03-28T21:36:32.325Z",
"FacSk" : "-1",
"ClientId" : "DISHNET"
},
"FacTie" : [ {
"TieFromSk": "-1",
"TieToSk": "-1",
"JobId" : "${now():toNumber()}"
"ClientId": "DISHNET"
"RoleType" : "INSG",
"ReviewDate" : "2018-03-28T21:36:32.325Z"
} ]
} ],
}
This is the spec That gave me what i am looking for:
[{
"operation": "shift",
"spec": {
"type": "type",
"features": {
"*": {
"geometry": {
"coordinates": {
"0": "FacilityComposite[&3].Facility.Ilat",
"1": "FacilityComposite[&3].Facility.Ilon"
}
},
"properties": {
"activity": "FacilityComposite[&2].Facility.Activity",
"be_number": "FacilityComposite[&2].Facility.BeNumber",
"category": "FacilityComposite[&2].Facility.Category",
"condition": "FacilityComposite[&2].Facility.Condition",
"role_type": ["FacilityComposite[&2].Facility.RoleType", "FacilityComposite[&2].FacForm.RoleType", "FacilityComposite[&2].FacTie[&2].RoleType"],
"review_date": ["FacilityComposite[&2].Facility.ReviewDate", "FacilityComposite[&2].FacForm.ReviewDate", "FacilityComposite[&2].FacTie[&2].ReviewDate"]
}
}
}
}
}, {
"operation": "default",
"spec": {
"JobId": "${now():toNumber()}",
"FacilityComposite[]": {
"*": {
"Facility": {
"FacSk": "-1",
"ClientId": "DISHNET",
"ReviewDate": "${now()}"
},
"FacForm": {
"FacSk": "-1",
"ClientId": "DISHNET"
}
}
}
}
},
{
"operation": "modify-default-beta",
"spec": {
"FacilityComposite": {
"*": {
"FacTie": {
"*": {
"FacTieSk": "-1",
"TieFromSk": "-1",
"TieToSk": "-1",
"ClientId": "DISHNET"
}
}
}
}
}
}
]
I am getting null in my output json. Please find my spec and details below. The input json can have n numbers of COMPINFO . pls suggest
my input.json is
{
"valid": "true",
"message": "",
"data": {
"COMPINFO": [
{
"ORGID": "",
"SITEID": "BWDEMO",
"COMPID": "C2014",
"COMP_DESC": "Cherokee High School",
"ASSETTYPE": "MANUFACTURING",
"BUILDING": "Main",
"FLR_LEVEL": "Ground",
"ROOM_SPCE": "100"
},
{
"ORGID": "",
"SITEID": "BWDEMO",
"COMPID": "9001B",
"COMP_DESC": "Sludge Pump",
"ASSETTYPE": "FACILITY",
"BUILDING": "Main",
"FLR_LEVEL": "Production",
"ROOM_SPCE": "100"
}
]
}
}
my Spec.json is
[
{
"operation": "shift",
"spec": {
"data": {
"COMPINFO": {
"*": {
"COMPID": "[&1].COMPID",
"ORGID": "[&1].ORGID",
"COMP_DESC": "[&1].DESCRIPTION",
"BUILDING": "[&1].LOCATIONS.[&1].Building",
"FLR_LEVEL": "[&1].LOCATIONS.[&1].Floor_Level",
"ROOM_SPCE": "[&1].LOCATIONS.[&1].ROOM_SPCE",
"SITEID": "[&1].SITEID",
"ASSETTYPE": "[&1].ASSETTYPE"
}
}
}
}
}
]
expected output should be :
[
{
"COMPID" : "C2014",
"ORGID" : "",
"DESCRIPTION" : "Cherokee High School",
"LOCATIONS" : [ {
"Building" : "Main",
"Floor_Level" : "Ground",
"ROOM_SPCE" : "100"
} ],
"SITEID" : "BWDEMO",
"ASSETTYPE" : "MANUFACTURING"
}, {
"COMPID" : "9001B",
"ORGID" : "",
"DESCRIPTION" : "Sludge Pump",
"LOCATIONS" : [{
"Building" : "Main",
"Floor_Level" : "Production",
"ROOM_SPCE" : "100"
} ],
"SITEID" : "BWDEMO",
"ASSETTYPE" : "FACILITY"
}
]
but getting null (highlighted (Bold)) :
[
{
"COMPID" : "C2014",
"ORGID" : "",
"DESCRIPTION" : "Cherokee High School",
"LOCATIONS" : [ {
"Building" : "Main",
"Floor_Level" : "Ground",
"ROOM_SPCE" : "100"
} ],
"SITEID" : "BWDEMO",
"ASSETTYPE" : "MANUFACTURING"
}, {
"COMPID" : "9001B",
"ORGID" : "",
"DESCRIPTION" : "Sludge Pump",
"LOCATIONS" : [ null, {
"Building" : "Main",
"Floor_Level" : "Production",
"ROOM_SPCE" : "100"
} ],
"SITEID" : "BWDEMO",
"ASSETTYPE" : "FACILITY"
}
]
can someone help quickly ??
Thanks in advance .ssssssssssssssssssssss
It looks like you there is only one "location" per input item, and that you just want them to alway be the first element in a location array.
If so that is easy. If you are wanting to "group" your data and have some of the locations array have multiple items, that is a harder transform.
Spec for the simple version
[
{
"operation": "shift",
"spec": {
"data": {
"COMPINFO": {
"*": {
"COMPID": "[&1].COMPID",
"ORGID": "[&1].ORGID",
"COMP_DESC": "[&1].DESCRIPTION",
"BUILDING": "[&1].LOCATIONS[0].Building",
"FLR_LEVEL": "[&1].LOCATIONS[0].Floor_Level",
"ROOM_SPCE": "[&1].LOCATIONS[0].ROOM_SPCE",
"SITEID": "[&1].SITEID",
"ASSETTYPE": "[&1].ASSETTYPE"
}
}
}
}
}
]
There are examples around for the harder version.