I have API which accepts PATCH method and updates given fields. PATCH request with below body changes age of User. { "age": 10 } I had problem on treating null value. My User struct as below: type User struct {…
I am logging fields which will be update during update Api call. But getting DOB field everytime whether it is updating or not DOB is of Date type private Date DOB; Logging DOB VALUE when passing this in payload {…
File "array.json": ["bogus"] PS C:UsersMe> (Get-Content "array.json" | ConvertFrom-Json -NoEnumerate).GetType() IsPublic IsSerial Name BaseType -------- -------- ---- -------- True True Object[] System.Array PS C:UsersMe> (Get-Content "array.json" | ConvertFrom-Json).GetType() IsPublic IsSerial Name BaseType -------- -------- ---- -------- True True String System.Object…
I have a massive JSON output like this { "result": [ { "name": "Fields", "listFields": [ [ "apple" ], [ "Banana__c" ] ], "fields": [ { "name": "apple", "displayName": "Apple", "color": "red", "price": 20 }, { "name": "Banana__c", "displayName": "Banana",…
Having a json file menu.json and need to remove only client2 related entries from the "collect.whitelist" line. Any help appreciated. { "connect.class": "io.connector.MongoDbConnect", "tasks.max": "2", "snapshot.delay.ms": "1500", "collect.whitelist": "client1_creat.plan.header,client1_creat.plan.ref-data,client1_creat.plan.line.view,client1_creat.plan.inventory.view,client1_creat.plan.period.lines,client1_creat.plan.products,client1_creat.constraint,client1_creat.separation,client1_creat.plan.guidelines,client1_creat.plan.spots,client1_creat.plan.spot.links,client1_creat.plan.deal.link,client1_creat.plan.line.target,client1_creat.plan.digital.period.lines,client1_creat.plan.digital.lines,client1_creat.plan.deal.link,client1_creat.plan.quarter.view,client1_creat.plan.line.weekly.spots,client1_creat.plan.total.view,client1_creat.plan.weekly.view,client1_creat.condition.status,client1_creat.plan.additionalfees,client1_creat.plan.digital.period.view,client1_creat.plan.line.weekly.totals.view,client1_creat.plan.buyer.goals,client1_creat.plan.period.line.lineage.comments,client1_creat.plan.books,client1_creat.plan.line.attributes,client2_creat.plan.header,client2_creat.plan.ref-data,client2_creat.plan.line.view,client2_creat.plan.inventory.view,client2_creat.plan.period.lines,client2_creat.plan.products,client2_creat.constraint,client2_creat.separation,client2_creat.plan.guidelines,client2_creat.plan.spots,client2_creat.plan.spot.links,client2_creat.plan.deal.link,client2_creat.plan.line.target,client2_creat.plan.digital.period.lines,client2_creat.plan.digital.lines,client2_creat.plan.deal.link,client2_creat.plan.quarter.view,client2_creat.plan.line.weekly.spots,client2_creat.plan.total.view,client2_creat.plan.weekly.view,client2_creat.condition.status,client2_creat.plan.additionalfees,client2_creat.plan.digital.period.view,client2_creat.plan.line.weekly.totals.view,client2_creat.plan.buyer.goals,client2_creat.plan.period.line.lineage.comments,client2_creat.plan.books,client2_creat.plan.line.attributes,client3_creat.plan.header,client3_creat.plan.ref-data,client3_creat.plan.line.view,client3_creat.plan.inventory.view,client3_creat.plan.period.lines,client3_creat.plan.products,client3_creat.constraint,client3_creat.separation,client3_creat.plan.guidelines,client3_creat.plan.spots,client3_creat.plan.spot.links,client3_creat.plan.deal.link,client3_creat.plan.line.target,client3_creat.plan.digital.period.lines,client3_creat.plan.digital.lines,client3_creat.plan.deal.link,client3_creat.plan.quarter.view,client3_creat.plan.line.weekly.spots,client3_creat.plan.total.view,client3_creat.plan.weekly.view,client3_creat.condition.status,client3_creat.plan.additionalfees,client3_creat.plan.digital.period.view,client3_creat.plan.line.weekly.totals.view,client3_creat.plan.buyer.goals,client3_creat.plan.period.line.lineage.comments,client3_creat.plan.books,client3_creat.plan.line.attributes,client4_creat.plan.header,client4_creat.plan.ref-data,client4_creat.plan.line.view,client4_creat.plan.inventory.view,client4_creat.plan.period.lines,client4_creat.plan.products,client4_creat.constraint,client4_creat.separation,client4_creat.plan.guidelines,client4_creat.plan.spots,client4_creat.plan.spot.links,client4_creat.plan.deal.link,client4_creat.plan.line.target,client4_creat.plan.digital.period.lines,client4_creat.plan.digital.lines,client4_creat.plan.deal.link,client4_creat.plan.quarter.view,client4_creat.plan.line.weekly.spots,client4_creat.plan.total.view,client4_creat.plan.weekly.view,client4_creat.condition.status,client4_creat.plan.additionalfees,client4_creat.plan.digital.period.view,client4_creat.plan.line.weekly.totals.view,client4_creat.plan.buyer.goals,client4_creat.plan.period.line.lineage.comments,client4_creat.plan.books,client4_creat.plan.line.attributes", "ssl.enabled": "true", "members.auto.discover": "true", "name": "source_mongodb", "ssl.invalid.allowed": "true", "snapshot.mode": "never" }…
I have a bunch of data saved as json strings in Pandas DataFrame. I'd like to aggregate the DataFrame based on json data. Here's some sample data: data = { 'id': [1, 2, 3], 'name': ['geo1', 'geo2', 'geo3'], 'json_data': […
I have a Pandas DataFrame with JSON data. I'd like to extract the most recent year and the corresponding val and add them in as new column. Sample DataFrame: data = { 'id': [1, 2, 3], 'name': ['Alice', 'Bob', 'Charlie'],…
There is a variable in ADF that holds the below value. @json(concat('{','"S.No":',variables('counter'),',"Input Table":"Input TblName","Output Table":"[Tbl1, tbl2, Tbl3]", "Status":"Successful"}')) I pass this variable to a logic app using Web activity and use 'Create HTML Table' to convert this json to a…
When running a test event with AWS Lambda (accessed via AWS Console) I am able to pass in the following body and properly parse the data to a custom struct Custom struct: type ContactForm struct { Phone int `json:"phone"` Email…
i have bellow object array var dataarray = [ { "Country": "America", "Total": 200, "Month" : "Jan" }, { "Country": "America", "Total": 100, "Month" : "Feb" }, { "Country": "India", "Total": 100, "Month" : "Feb" } ] from there what…