How to parse JSON data with Swift Class? - swift

I want to parse this JSON with swift class using codable, this can be done with struct easily, but how to do the same with class?
{
"id": "0001",
"type": "donut",
"name": "Cake",
"ppu": 0.55,
"batters":
{
"batter":
[
{ "id": "1001", "type": "Regular" },
{ "id": "1002", "type": "Chocolate" },
{ "id": "1003", "type": "Blueberry" },
{ "id": "1004", "type": "Devil's Food" }
]
},
"topping":
[
{ "id": "5001", "type": "None" },
{ "id": "5002", "type": "Glazed" },
{ "id": "5005", "type": "Sugar" },
{ "id": "5007", "type": "Powdered Sugar" },
{ "id": "5006", "type": "Chocolate with Sprinkles" },
{ "id": "5003", "type": "Chocolate" },
{ "id": "5004", "type": "Maple" }
]
}

You can use https://quicktype.io/ to generate Swift files from a JSON. It will do most of the work for you. You may need to do some cleanup, but overall it does a great job generating the object.

Related

how to find selected fields from sample data in nested array in mongodb

I have sample collection of data
[
{
data: [
{
"id": "0001",
"type": "donut",
"name": "Cake",
"ppu": 0.55,
"batters": {
"batter": [
{
"id": "1001",
"type": "Regular"
},
{
"id": "1002",
"type": "Chocolate"
},
{
"id": "1003",
"type": "Blueberry"
},
{
"id": "1004",
"type": "Devil's Food"
}
]
},
"topping": [
{
"id": "5001",
"type": "None"
},
{
"id": "5002",
"type": "Glazed"
},
{
"id": "5005",
"type": "Sugar"
},
{
"id": "5007",
"type": "Powdered Sugar"
},
{
"id": "5006",
"type": "Chocolate with Sprinkles"
},
{
"id": "5003",
"type": "Chocolate"
},
{
"id": "5004",
"type": "Maple"
}
]
},
{
"id": "0002",
"type": "donut",
"name": "Raised",
"ppu": 0.55,
"batters": {
"batter": [
{
"id": "1001",
"type": "Regular"
}
]
},
"topping": [
{
"id": "5001",
"type": "None"
},
{
"id": "5002",
"type": "Glazed"
},
{
"id": "5005",
"type": "Sugar"
},
{
"id": "5003",
"type": "Chocolate"
},
{
"id": "5004",
"type": "Maple"
}
]
},
{
"id": "0003",
"type": "donut",
"name": "Old Fashioned",
"ppu": 0.55,
"batters": {
"batter": [
{
"id": "1001",
"type": "Regular"
},
{
"id": "1002",
"type": "Chocolate"
}
]
},
"topping": [
{
"id": "5001",
"type": "None"
},
{
"id": "5002",
"type": "Glazed"
},
{
"id": "5003",
"type": "Chocolate"
},
{
"id": "5004",
"type": "Maple"
}
]
}
]
}
]
and I need data only in this formate of a specific id.
[
{
"id": "0001",
"type": "donut",
"name": "Cake",
"ppu": 0.55
}
]
aggregate
db.collection.aggregate({
"$unwind": "$data"
},
{
"$match": {
"data.id": "0001"
}
},
{
"$project": {
"_id": "$data.id",
"type": "$data.type",
"name": "$data.name",
"ppu": "$data.ppu"
}
})
mongoplayground

Conversion of JSON to Avro failed: Failed to convert JSON to Avro: Unknown union branch

I am trying to send a JSON message to a Kafka topic using Kafka-rest service to serialize JSON as an Avro object, but the JSON message is failed to get accepted by Kafka-rest with the following error:
Conversion of JSON to Avro failed: Failed to convert JSON to Avro: Unknown union branch postId
I suspect that there is an issue with the Avro schema I am using as it is a nested record type with nullable fields.
Avro schema:
{
"type": "record",
"name": "ExportRequest",
"namespace": "com.example.avro.model",
"fields": [
{
"name": "context",
"type": {
"type": "map",
"values": {
"type": "string",
"avro.java.string": "String"
},
"avro.java.string": "String"
}
},
{
"name": "exportInfo",
"type": {
"type": "record",
"name": "ExportInfo",
"fields": [
{
"name": "exportId",
"type": {
"type": "string",
"avro.java.string": "String"
}
},
{
"name": "exportType",
"type": {
"type": "string",
"avro.java.string": "String"
}
},
{
"name": "exportQuery",
"type": {
"type": "record",
"name": "ExportQuery",
"fields": [
{
"name": "postExport",
"type": [
"null",
{
"type": "record",
"name": "PostExport",
"fields": [
{
"name": "postId",
"type": {
"type": "string",
"avro.java.string": "String"
}
},
{
"name": "isCommentIncluded",
"type": "boolean"
}
]
}
],
"default": null
},
{
"name": "feedExport",
"type": [
"null",
{
"type": "record",
"name": "FeedExport",
"fields": [
{
"name": "accounts",
"type": {
"type": "array",
"items": {
"type": "string",
"avro.java.string": "String"
}
}
},
{
"name": "recordTypes",
"type": {
"type": "array",
"items": {
"type": "string",
"avro.java.string": "String"
}
}
},
{
"name": "actions",
"type": {
"type": "array",
"items": {
"type": "string",
"avro.java.string": "String"
}
}
},
{
"name": "contentTypes",
"type": {
"type": "array",
"items": {
"type": "string",
"avro.java.string": "String"
}
}
},
{
"name": "startDate",
"type": "long"
},
{
"name": "endDate",
"type": "long"
},
{
"name": "advancedSearch",
"type": [
"null",
{
"type": "record",
"name": "AdvancedSearchExport",
"fields": [
{
"name": "allOfTheWords",
"type": {
"type": "array",
"items": {
"type": "string",
"avro.java.string": "String"
}
}
},
{
"name": "anyOfTheWords",
"type": {
"type": "array",
"items": {
"type": "string",
"avro.java.string": "String"
}
}
},
{
"name": "noneOfTheWords",
"type": {
"type": "array",
"items": {
"type": "string",
"avro.java.string": "String"
}
}
},
{
"name": "hashtags",
"type": {
"type": "array",
"items": {
"type": "string",
"avro.java.string": "String"
}
}
},
{
"name": "keyword",
"type": {
"type": "string",
"avro.java.string": "String"
}
},
{
"name": "exactPhrase",
"type": {
"type": "string",
"avro.java.string": "String"
}
}
]
}
],
"default": null
}
]
}
],
"default": null
}
]
}
}
]
}
}
]
}
Json message:
{
"context": {
"user_id": "1",
"group_id": "1",
"organization_id": "1"
},
"exportInfo": {
"exportId": "93874dd7-35d7-4f1f-8cf8-051c606d920b",
"exportType": "json",
"exportQuery": {
"postExport": {
"postId": "dd",
"isCommentIncluded": false
},
"feedExport": {
"accounts": [
"1677143852565319"
],
"recordTypes": [],
"actions": [],
"contentTypes": [],
"startDate": 0,
"endDate": 0,
"advancedSearch": {
"allOfTheWords": [
"string"
],
"anyOfTheWords": [
"string"
],
"noneOfTheWords": [
"string"
],
"hashtags": [
"string"
],
"keyword": "string",
"exactPhrase": "string"
}
}
}
}
}
I would appreciate it if someone could help me to understand what the issue is.
Both of your JSON and Avro looks good.
You are facing the issue because JSON doesn't conform to Avro's JSON encoding spec.
So, if you convert your JSON accordingly, it will somehow look like this
{
"context": {
"user_id": "1",
"group_id": "1",
"organization_id": "1"
},
"exportInfo": {
"exportId": "93874dd7-35d7-4f1f-8cf8-051c606d920b",
"exportType": "json",
"exportQuery": {
"postExport": {
"com.example.avro.model.PostExport": {
"postId": "dd",
"isCommentIncluded": false
}
},
"feedExport": {
"com.example.avro.model.FeedExport": {
"accounts": [
"1677143852565319"
],
"recordTypes": [],
"actions": [],
"contentTypes": [],
"startDate": 0,
"endDate": 0,
"advancedSearch": {
"com.example.avro.model.AdvancedSearchExport": {
"allOfTheWords": [
"string"
],
"anyOfTheWords": [
"string"
],
"noneOfTheWords": [
"string"
],
"hashtags": [
"string"
],
"keyword": "string",
"exactPhrase": "string"
}
}
}
}
}
}
}

azure data factory start pipeline different from starting job

I am getting crazy on this issue, I am running an Azure data factory V1, I need to schedule a copy job every week from 01/03/2009 through 01/31/2009, so I defined this schedule on the pipeline:
"start": "2009-01-03T00:00:00Z",
"end": "2009-01-31T00:00:00Z",
"isPaused": false,
monitoring the pipeline, the data factory schedule on these date:
12/29/2008
01/05/2009
01/12/2009
01/19/2009
01/26/2009
instead of this wanted schedule:
01/03/2009
01/10/2009
01/17/2009
01/24/2009
01/31/2009
why the starting date defined on the pipeline doesn't correspond to the schedule date on the monitor?
Many thanks!
Here is the JSON Pipeline:
{
"name": "CopyPipeline-blob2datalake",
"properties": {
"description": "copy from blob storage to datalake directory structure",
"activities": [
{
"type": "DataLakeAnalyticsU-SQL",
"typeProperties": {
"scriptPath": "script/dat230.usql",
"scriptLinkedService": "AzureStorageLinkedService",
"degreeOfParallelism": 5,
"priority": 100,
"parameters": {
"salesfile": "$$Text.Format('/DAT230/{0:yyyy}/{0:MM}/{0:dd}.txt', Date.StartOfDay (SliceStart))",
"lineitemsfile": "$$Text.Format('/dat230/dataloads/{0:yyyy}/{0:MM}/{0:dd}/factinventory/fact.csv', Date.StartOfDay (SliceStart))"
}
},
"inputs": [
{
"name": "InputDataset-dat230"
}
],
"outputs": [
{
"name": "OutputDataset-dat230"
}
],
"policy": {
"timeout": "01:00:00",
"concurrency": 1,
"retry": 1
},
"scheduler": {
"frequency": "Day",
"interval": 7
},
"name": "DataLakeAnalyticsUSqlActivityTemplate",
"linkedServiceName": "AzureDataLakeAnalyticsLinkedService"
}
],
"start": "2009-01-03T00:00:00Z",
"end": "2009-01-11T00:00:00Z",
"isPaused": false,
"hubName": "edxlearningdf_hub",
"pipelineMode": "Scheduled"
}
}
and here the datasets:
{
"name": "InputDataset-dat230",
"properties": {
"structure": [
{
"name": "Date",
"type": "Datetime"
},
{
"name": "StoreID",
"type": "Int64"
},
{
"name": "StoreName",
"type": "String"
},
{
"name": "ProductID",
"type": "Int64"
},
{
"name": "ProductName",
"type": "String"
},
{
"name": "Color",
"type": "String"
},
{
"name": "Size",
"type": "String"
},
{
"name": "Manufacturer",
"type": "String"
},
{
"name": "OnHandQuantity",
"type": "Int64"
},
{
"name": "OnOrderQuantity",
"type": "Int64"
},
{
"name": "SafetyStockQuantity",
"type": "Int64"
},
{
"name": "UnitCost",
"type": "Double"
},
{
"name": "DaysInStock",
"type": "Int64"
},
{
"name": "MinDayInStock",
"type": "Int64"
},
{
"name": "MaxDayInStock",
"type": "Int64"
}
],
"published": false,
"type": "AzureBlob",
"linkedServiceName": "Source-BlobStorage-dat230",
"typeProperties": {
"fileName": "*.txt.gz",
"folderPath": "dat230/{year}/{month}/{day}/",
"format": {
"type": "TextFormat",
"columnDelimiter": "\t",
"firstRowAsHeader": true
},
"partitionedBy": [
{
"name": "year",
"value": {
"type": "DateTime",
"date": "WindowStart",
"format": "yyyy"
}
},
{
"name": "month",
"value": {
"type": "DateTime",
"date": "WindowStart",
"format": "MM"
}
},
{
"name": "day",
"value": {
"type": "DateTime",
"date": "WindowStart",
"format": "dd"
}
}
],
"compression": {
"type": "GZip"
}
},
"availability": {
"frequency": "Day",
"interval": 7
},
"external": true,
"policy": {}
}
}
{
"name": "OutputDataset-dat230",
"properties": {
"structure": [
{
"name": "Date",
"type": "Datetime"
},
{
"name": "StoreID",
"type": "Int64"
},
{
"name": "StoreName",
"type": "String"
},
{
"name": "ProductID",
"type": "Int64"
},
{
"name": "ProductName",
"type": "String"
},
{
"name": "Color",
"type": "String"
},
{
"name": "Size",
"type": "String"
},
{
"name": "Manufacturer",
"type": "String"
},
{
"name": "OnHandQuantity",
"type": "Int64"
},
{
"name": "OnOrderQuantity",
"type": "Int64"
},
{
"name": "SafetyStockQuantity",
"type": "Int64"
},
{
"name": "UnitCost",
"type": "Double"
},
{
"name": "DaysInStock",
"type": "Int64"
},
{
"name": "MinDayInStock",
"type": "Int64"
},
{
"name": "MaxDayInStock",
"type": "Int64"
}
],
"published": false,
"type": "AzureDataLakeStore",
"linkedServiceName": "Destination-DataLakeStore-dat230",
"typeProperties": {
"fileName": "txt.gz",
"folderPath": "dat230/dataloads/{year}/{month}/{day}/factinventory/",
"format": {
"type": "TextFormat",
"columnDelimiter": "\t"
},
"partitionedBy": [
{
"name": "year",
"value": {
"type": "DateTime",
"date": "WindowStart",
"format": "yyyy"
}
},
{
"name": "month",
"value": {
"type": "DateTime",
"date": "WindowStart",
"format": "MM"
}
},
{
"name": "day",
"value": {
"type": "DateTime",
"date": "WindowStart",
"format": "dd"
}
}
]
},
"availability": {
"frequency": "Day",
"interval": 7
},
"external": false,
"policy": {}
}
}
You need to look at the time slices for the datasets and there activity.
The pipeline schedule (badly named) only defines the start and end period in which any activities can use to provision and run there time slices.
ADFv1 doesn't use a recursive schedule like the SQL Server Agent. Each execution has to be provisioned at an interval on the time line (the schedule) you create.
For example, if you pipeline start and end is for 1 year. But your dataset and activity has a frequency of monthly and interval of 1 month you will only get 12 executions of the whatever is happening.
Apologies, but the concept of time slices is a little difficult to explain if you aren't already familiar. Maybe read this post: https://blogs.msdn.microsoft.com/ukdataplatform/2016/05/03/demystifying-activity-scheduling-with-azure-data-factory/
Hope this helps.
Would you share with us the json for the datasets and the pipeline? It would be easier to help you having that.
In the meanwhile, check if you are using "style": "StartOfInterval" at the scheduler property of the activity, and also check if you are using an offset.
Cheers!

How can I use CloudKit web services to query based on a reference field?

I've got two CloudKit data objects that look somewhat like this:
Parent Object:
{
"records": [
{
"recordName": "14102C0A-60F2-4457-AC1C-601BC628BF47-184-000000012D225C57",
"recordType": "ParentObject",
"fields": {
"fsYear": {
"value": "2015",
"type": "STRING"
},
"displayOrder": {
"value": 2015221153856287200,
"type": "INT64"
},
"fjpFSGuidForReference": {
"value": "14102C0A-60F2-4457-AC1C-601BC628BF47-184-000000012D225C57",
"type": "STRING"
},
"fsDateSearch": {
"value": "2015221153856287158",
"type": "STRING"
},
},
"recordChangeTag": "id4w7ivn",
"created": {
"timestamp": 1439149087571,
"userRecordName": "_0d26968032e31bbc72c213037b6cb35d",
"deviceID": "A19CD995FDA3093781096AF5D818033A241D65C1BFC3D32EC6C5D6B3B4A9AA6B"
},
"modified": {
"timestamp": 1439149087571,
"userRecordName": "_0d26968032e31bbc72c213037b6cb35d",
"deviceID": "A19CD995FDA3093781096AF5D818033A241D65C1BFC3D32EC6C5D6B3B4A9AA6B"
}
}
],
"total":
}
Child Object:
{
"records": [
{
"recordName": "2015221153856287168",
"recordType": "ChildObject",
"fields": {
"District": {
"value": "002",
"type": "STRING"
},
"ZipCode": {
"value": "12345",
"type": "STRING"
},
"InspecReference": {
"value": {
"recordName": "14102C0A-60F2-4457-AC1C-601BC628BF47-184-000000012D225C57",
"action": "NONE",
"zoneID": {
"zoneName": "_defaultZone"
}
},
"type": "REFERENCE"
},
},
"recordChangeTag": "id4w7lew",
"created": {
"timestamp": 1439149090856,
"userRecordName": "_0d26968032e31bbc72c213037b6cb35d",
"deviceID": "A19CD995FDA3093781096AF5D818033A241D65C1BFC3D32EC6C5D6B3B4A9AA6B"
},
"modified": {
"timestamp": 1439149090856,
"userRecordName": "_0d26968032e31bbc72c213037b6cb35d",
"deviceID": "A19CD995FDA3093781096AF5D818033A241D65C1BFC3D32EC6C5D6B3B4A9AA6B"
}
}
],
"total": 1
}
I'm trying to write a query to directly access the CloudKit web service and return the Child Object based on the reference of the parent object.
My test JSON looks something like this:
{"query":{"recordType":"ChildObject","filterBy":{"fieldName":"InspecReference","fieldValue":{ "value" : "14102C0A-60F2-4457-AC1C-601BC628BF47-184-000000012D225C57", "type" : "string" },"comparator":"EQUALS"}},"zoneID":{"zoneName":"_defaultZone"}}
However, I'm getting the following error from CloudKit:
{"uuid":"33db91f3-b768-4a68-9056-216ecc033e9e","serverErrorCode":"BAD_REQUEST","reason":"BadRequestException:
Unexpected input"}
I'm guessing I have the Record Field Dictionary in the query wrong. However, the documentation isn't clear on what this should look like on a reference object.
You have to re-create the actual object of the reference. In this particular case, the JSON looks like this:
{
"query": {
"recordType": "ChildObject",
"filterBy": {
"fieldName": "InspecReference",
"fieldValue": {
"value": {
"recordName": "14102C0A-60F2-4457-AC1C-601BC628BF47-184-000000012D225C57",
"action": "NONE"
},
"type": "REFERENCE"
},
"comparator": "EQUALS"
}
},
"zoneID": {
"zoneName": "_defaultZone"
}
}

What rest API can be used to get default values of fields for create issue?

I am using jira rest api's in my application.
I have found the api for getting the meta-data for creating jira issue but that API doesn't return default values of the fields for example :-
This is the request :-
http://kelpie9:8081/rest/api/latest/issue/createmeta?projectKeys=QA&issuetypeNames=Bug&expand=project.issuetypes.fields
the default value of priority field is set to "major" and the description of priority is also customized but the return from api is:-
{
"expand": "projects",
"projects": [
{
"expand": "issuetypes",
"self": "http://kelpie9:8081/rest/api/2/project/QA",
"id": "10010",
"key": "QA",
"name": "QA",
"avatarUrls": {
"16x16": "http://kelpie9:8081/secure/projectavatar?size=small&pid=10010&avatarId=10011",
"48x48": "http://kelpie9:8081/secure/projectavatar?pid=10010&avatarId=10011"
},
"issuetypes": [
{
"expand": "fields",
"self": "http://kelpie9:8081/rest/api/2/issuetype/1",
"id": 1,
"name": "Bug",
"iconUrl": "http://kelpie9:8081/images/icons/bug.gif",
"fields": {
"summary": {
"required": true,
"schema": {
"type": "string",
"system": "summary"
},
"operations": [
"set"
]
},
"timetracking": {
"required": false,
"operations": [ ]
},
"issuetype": {
"required": true,
"schema": {
"type": "issuetype",
"system": "issuetype"
},
"operations": [ ],
"allowedValues": [
{
"id": "1",
"name": "Bug",
"description": "A problem which impairs or prevents the functions of the product.",
"iconUrl": "http://kelpie9:8081/images/icons/bug.gif"
}
]
},
"priority": {
"required": false,
"schema": {
"type": "priority",
"system": "priority"
},
"name": "Priority",
"operations": [
"set"
],
"allowedValues": [
{
"self": "http://172.19.30.101:18080/rest/api/2/priority/1",
"iconUrl": "http://172.19.30.101:18080/images/icons/priority_blocker.gif",
"name": "Blocker",
"id": "1"
},
{
"self": "http://172.19.30.101:18080/rest/api/2/priority/2",
"iconUrl": "http://172.19.30.101:18080/images/icons/priority_critical.gif",
"name": "Critical",
"id": "2"
},
{
"self": "http://172.19.30.101:18080/rest/api/2/priority/3",
"iconUrl": "http://172.19.30.101:18080/images/icons/priority_major.gif",
"name": "Major",
"id": "3"
},
{
"self": "http://172.19.30.101:18080/rest/api/2/priority/4",
"iconUrl": "http://172.19.30.101:18080/images/icons/priority_minor.gif",
"name": "Minor",
"id": "4"
},
{
"self": "http://172.19.30.101:18080/rest/api/2/priority/5",
"iconUrl": "http://172.19.30.101:18080/images/icons/priority_trivial.gif",
"name": "Trivial",
"id": "5"
}
]
},
"customfield_10080": {
"required": false,
"schema": {
"type": "array",
"items": "string",
"custom": "com.atlassian.jira.plugin.system.customfieldtypes:labels",
"customId": 10080
},
"operations": [ ]
},
"customfield_10010": {
"required": false,
"schema": {
"type": "array",
"items": "string",
"custom": "com.atlassian.jira.plugin.system.customfieldtypes:labels",
"customId": 10010
},
"operations": [ ]
},
"customfield_10071": {
"required": false,
"schema": {
"type": "array",
"items": "string",
"custom": "com.atlassian.jira.plugin.system.customfieldtypes:textfield",
"customId": 10071
},
"operations": [ ]
}
}
}
]
}
]
}
There is nothing like default value or description in priority field, how will I get those values?