here is the Sample Json:-
[
{
"index": 0,
"object": {
"uri": "entities/oAFpSUX",
"type": "configuration/entityTypes/Pet",
"createdBy": "abc#xyz.com",
"createdTime": 1531431176965,
"updatedBy": "abc#xyz.com",
"updatedTime": 1531431177691,
"attributes": {
"Weight": [
{
"label": "5 lbs",
"value": {
"PetWeightMeasurement": [
{
"ov": true,
"value": "5",
}
],
"PetWeightUOM": [
{
"ov": true,
"value": "lbs",
"lookupCode": "lbs",
}
]
},
"ov": true,
"uri": "entities/oAFpSUX/attributes/Weight/1AeFvD8Kj"
}
],
"Identifiers": [
{
"label": "5155445576",
"value": {
"Type": [
{
"ov": false,
"value": "CRMO_Pet_Id",
}
],
"ID": [
{
"ov": true,
"value": "5155445576",
}
]
},
"ov": true,
"uri": "entities/oAFpSUX/attributes/Identifiers/1AeFvCrHh"
}
],
"Vaccination": [
{
"label": "Bordatella - 2018-10-26",
"value": {
"Type": [
{
"type": "configuration/entityTypes/Pet/attributes/Vaccination/attributes/Type",
"ov": true,
"value": "Bordatella",
"lookupCode": "4",
"lookupRawValue": "Bordatella",
"lookupAttributes": [
{
"name": "Sort Order",
"value": "3"
}
],
"uri": "entities/oAFpSUX/attributes/Vaccination/1AeFv9yGr/Type/1AeFvA2X7"
}
],
"ExpirationDate": [
{
"type": "configuration/entityTypes/Pet/attributes/Vaccination/attributes/ExpirationDate",
"ov": true,
"value": "2018-10-26",
"uri": "entities/oAFpSUX/attributes/Vaccination/1AeFv9yGr/ExpirationDate/1AeFvA6nN"
}
]
},
"ov": true,
"uri": "entities/oAFpSUX/attributes/Vaccination/1AeFv9yGr"
},
{
"label": "Distemper - 2018-10-25",
"value": {
"Type": [
{
"type": "configuration/entityTypes/Pet/attributes/Vaccination/attributes/Type",
"ov": true,
"value": "Distemper",
"lookupAttributes": [
{
"name": "Sort Order",
"value": "4"
}
],
"uri": "entities/oAFpSUX/attributes/Vaccination/1AeFv9YhJ/Type/1AeFv9cxZ"
}
],....
My question: I was able to get the value of "$..Vaccination..value.Type..value" as "Bordatella" so that works fine. However what I now want is that if the value is 'Bordatella' then I want to extract the "value" under "ExpirationDate". Can someone please help me how I can extract that "value" under "ExpirationDate" ? I am not sure if I need to do that with some custom Groovy code of using jmeter's if controller. Any help would be greatly appreciated!
Thanks.
There are several ways to run jq queries from within Java - e.g.
https://github.com/eiiches/jackson-jq
https://github.com/arakelian/java-jq (available from Maven Central)
Java Native Access wrapper https://github.com/bskaggs/jjq . Supported platform is Linux only.
Assuming the sample input has been revised in the obvious way to make it valid JSON, the following jq filter will produce the output as shown:
.[].object.attributes.Vaccination[].value
| select(.Type[].value == "Bordatella")
| .ExpirationDate[].value
Output:
"2018-10-26"
Alternative
Here's a jq filter that is agnostic about the relative location of the "Vaccination" object:
..
| objects
| select(has("Vaccination"))
| .Vaccination[].value?
| select(.Type[].value == "Bordatella")
| .ExpirationDate[].value
Given the following JSON response:
[
{
"index": 0,
"object": {
"uri": "entities/oAFpSUX",
"type": "configuration/entityTypes/Pet",
"createdBy": "a...#xyz.com",
"createdTime": 1531431176965,
"updatedBy": "a...#xyz.com",
"updatedTime": 1531431177691,
"attributes": {
"Weight": [
{
"label": "5 lbs",
"value": {
"PetWeightMeasurement": [
{
"ov": true,
"value": "5"
}
],
"PetWeightUOM": [
{
"ov": true,
"value": "lbs",
"lookupCode": "lbs"
}
]
},
"ov": true,
"uri": "entities/oAFpSUX/attributes/Weight/1AeFvD8Kj"
}
],
"Identifiers": [
{
"label": "5155445576",
"value": {
"Type": [
{
"ov": false,
"value": "CRMO_Pet_Id"
}
],
"ID": [
{
"ov": true,
"value": "5155445576"
}
]
},
"ov": true,
"uri": "entities/oAFpSUX/attributes/Identifiers/1AeFvCrHh"
}
],
"Vaccination": [
{
"label": "Bordatella - 2018-10-26",
"value": {
"Type": [
{
"type": "configuration/entityTypes/Pet/attributes/Vaccination/attributes/Type",
"ov": true,
"value": "Bordatella",
"lookupCode": "4",
"lookupRawValue": "Bordatella",
"lookupAttributes": [
{
"name": "Sort Order",
"value": "3"
}
],
"uri": "entities/oAFpSUX/attributes/Vaccination/1AeFv9yGr/Type/1AeFvA2X7"
}
],
"ExpirationDate": [
{
"type": "configuration/entityTypes/Pet/attributes/Vaccination/attributes/ExpirationDate",
"ov": true,
"value": "2018-10-26",
"uri": "entities/oAFpSUX/attributes/Vaccination/1AeFv9yGr/ExpirationDate/1AeFvA6nN"
}
]
},
"ov": true,
"uri": "entities/oAFpSUX/attributes/Vaccination/1AeFv9yGr"
},
{
"label": "Distemper - 2018-10-25",
"value": {
"Type": [
{
"type": "configuration/entityTypes/Pet/attributes/Vaccination/attributes/Type",
"ov": true,
"value": "Distemper",
"lookupAttributes": [
{
"name": "Sort Order",
"value": "4"
}
],
"uri": "entities/oAFpSUX/attributes/Vaccination/1AeFv9YhJ/Type/1AeFv9cxZ"
}
]
}
}
]
}
}
}
]
Add JSR223 PostProcessor as a child of the request which returns the above response
Put the following code into "Script" area:
new groovy.json.JsonSlurper().parse(prev.getResponseData()).get(0).get('object').get('attributes').get('Vaccination').each { vaccination ->
if (vaccination.get('value').get('Type').get(0).get('value').equals('Bordatella')) {
def expirationDate = vaccination.get('value').get('ExpirationDate').get(0).get('value')
log.info('ExpirationDate: ' + expirationDate)
vars.put('ExpirationDate', expirationDate)
}
}
If everything goes well (your JSON response matches the Groovy code) the ExpirationDate will be:
printed to jmeter.log file
stored as ${ExpirationDate} JMeter Variable
Demo:
More information:
Groovy: Parsing and producing JSON
Apache Groovy - Why and How You Should Use It
Related
After spending many hours of reading the documentation, following some tutorials and trial & error, i just can't figure it out; how can I transform the following complex object with key objects to an array using a data flow in Azure Data Factory?
Input
{
"headers": {
"Content-Length": 1234
},
"body": {
"00b50a39-8591-3db3-88f7-635e2ec5c65a": {
"id": "00b50a39-8591-3db3-88f7-635e2ec5c65a",
"name": "Example 1",
"date": "2023-02-09"
},
"0c206312-2348-391b-99f0-261323a94d95": {
"id": "0c206312-2348-391b-99f0-261323a94d95",
"name": "Example 2",
"date": "2023-02-09"
},
"0c82d1e4-a897-32f2-88db-6830a21b0a43": {
"id": "00b50a39-8591-3db3-88f7-635e2ec5c65a",
"name": "Example 3",
"date": "2023-02-09"
},
}
}
Expected output
[
{
"id": "00b50a39-8591-3db3-88f7-635e2ec5c65a",
"name": "Example 1",
"date": "2023-02-09"
},
{
"id": "0c206312-2348-391b-99f0-261323a94d95",
"name": "Example 2",
"date": "2023-02-09"
},
{
"id": "00b50a39-8591-3db3-88f7-635e2ec5c65a",
"name": "Example 3",
"date": "2023-02-09"
}
]
AFAIK, Your JSON keys are dynamic. So, getting the desired result using dataflow might not be possible.
In this case, you can try the below approach as a workaround. This will work only if all of your key's length is same.
This is my Pipeline:
First I have used a lookup activity to get the JSON file and converted the lookup output to a string and stored in a variable using below expression.
#substring(string(activity('Lookup1').output.value[0].body),2,sub(length(string(activity('Lookup1').output.value[0].body)),4)).
Then I have used split on that String variable with '},"' and stored in an array variable using below expression.
#split(variables('res_str'),'},"')
It will give the array like below.
Give that array to a ForEach and inside ForEach use an append variable activity to store the keys into an array with below expression.
#take(item(), 36)
Now, I got the list of keys in an array, after the above ForEach use another ForEach activity to get the desired array of objects. Use append variable actvity inside ForEach and give the below expression for it.
#activity('Lookup1').output.value[0].body[item()]
Result array after ForEach will be:
If you want to store the above JSON into a file, you need to use OPENJSON from SQL. This is because copy activity additonal column only supports string type not an array type.
Use a SQL dataset on copy activity source and give the below SQL script in the query.
DECLARE #json NVARCHAR(MAX)
SET #json =
N'#{variables('json_arr')}'
SELECT * FROM
OPENJSON ( #json )
WITH (
id varchar(200) '$.id' ,
name varchar(32) '$.name',
date varchar(32) '$.date'
)
In Sink, give a JSON dataset and select Array of Objects as File pattern.
Execute the pipeline and you will get the above array inside a file.
This is my Pipeline JSON:
{
"name": "pipeline1",
"properties": {
"activities": [
{
"name": "Lookup1",
"type": "Lookup",
"dependsOn": [],
"policy": {
"timeout": "0.12:00:00",
"retry": 0,
"retryIntervalInSeconds": 30,
"secureOutput": false,
"secureInput": false
},
"userProperties": [],
"typeProperties": {
"source": {
"type": "JsonSource",
"storeSettings": {
"type": "AzureBlobFSReadSettings",
"recursive": true,
"enablePartitionDiscovery": false
},
"formatSettings": {
"type": "JsonReadSettings"
}
},
"dataset": {
"referenceName": "Json1",
"type": "DatasetReference"
},
"firstRowOnly": false
}
},
{
"name": "Lookup output to Str",
"description": "",
"type": "SetVariable",
"dependsOn": [
{
"activity": "Lookup1",
"dependencyConditions": [
"Succeeded"
]
}
],
"userProperties": [],
"typeProperties": {
"variableName": "res_str",
"value": {
"value": "#substring(string(activity('Lookup1').output.value[0].body),2,sub(length(string(activity('Lookup1').output.value[0].body)),4))",
"type": "Expression"
}
}
},
{
"name": "Split Str to array",
"type": "SetVariable",
"dependsOn": [
{
"activity": "Lookup output to Str",
"dependencyConditions": [
"Succeeded"
]
}
],
"userProperties": [],
"typeProperties": {
"variableName": "split_arr",
"value": {
"value": "#split(variables('res_str'),'},\"')",
"type": "Expression"
}
}
},
{
"name": "build keys array using split array",
"type": "ForEach",
"dependsOn": [
{
"activity": "Split Str to array",
"dependencyConditions": [
"Succeeded"
]
}
],
"userProperties": [],
"typeProperties": {
"items": {
"value": "#variables('split_arr')",
"type": "Expression"
},
"isSequential": true,
"activities": [
{
"name": "take first 36 chars of every item",
"type": "AppendVariable",
"dependsOn": [],
"userProperties": [],
"typeProperties": {
"variableName": "keys_array",
"value": {
"value": "#take(item(), 36)",
"type": "Expression"
}
}
}
]
}
},
{
"name": "build final array using keys array",
"type": "ForEach",
"dependsOn": [
{
"activity": "build keys array using split array",
"dependencyConditions": [
"Succeeded"
]
}
],
"userProperties": [],
"typeProperties": {
"items": {
"value": "#variables('keys_array')",
"type": "Expression"
},
"isSequential": true,
"activities": [
{
"name": "Append variable1",
"description": "append every object to array",
"type": "AppendVariable",
"dependsOn": [],
"userProperties": [],
"typeProperties": {
"variableName": "json_arr",
"value": {
"value": "#activity('Lookup1').output.value[0].body[item()]",
"type": "Expression"
}
}
}
]
}
},
{
"name": "Just for Res show",
"type": "SetVariable",
"dependsOn": [
{
"activity": "build final array using keys array",
"dependencyConditions": [
"Succeeded"
]
}
],
"userProperties": [],
"typeProperties": {
"variableName": "final_res_show",
"value": {
"value": "#variables('json_arr')",
"type": "Expression"
}
}
},
{
"name": "Copy data1",
"type": "Copy",
"dependsOn": [
{
"activity": "Just for Res show",
"dependencyConditions": [
"Succeeded"
]
}
],
"policy": {
"timeout": "0.12:00:00",
"retry": 0,
"retryIntervalInSeconds": 30,
"secureOutput": false,
"secureInput": false
},
"userProperties": [],
"typeProperties": {
"source": {
"type": "AzureSqlSource",
"sqlReaderQuery": "DECLARE #json NVARCHAR(MAX)\nSET #json = \n N'#{variables('json_arr')}' \n \nSELECT * FROM \n OPENJSON ( #json ) \nWITH ( \n id varchar(200) '$.id' , \n name varchar(32) '$.name', \n date varchar(32) '$.date'\n )",
"queryTimeout": "02:00:00",
"partitionOption": "None"
},
"sink": {
"type": "JsonSink",
"storeSettings": {
"type": "AzureBlobFSWriteSettings"
},
"formatSettings": {
"type": "JsonWriteSettings",
"filePattern": "arrayOfObjects"
}
},
"enableStaging": false
},
"inputs": [
{
"referenceName": "AzureSqlTable1",
"type": "DatasetReference"
}
],
"outputs": [
{
"referenceName": "Target_JSON",
"type": "DatasetReference"
}
]
}
],
"variables": {
"res_str": {
"type": "String"
},
"split_arr": {
"type": "Array"
},
"keys_array": {
"type": "Array"
},
"final_res_show": {
"type": "Array"
},
"json_arr": {
"type": "Array"
}
},
"annotations": []
}
}
Result file:
How i can search for the value "20044" in all fields "Barcode" and just in field "Barcode" in a nested object without specifying an absolute path e.g. "Item.Item.Item.Barcode" in MongoDB?
My current solutions:
Search in all text fields, not only in "Barcode" fields
find({$text: {$search: '20044'}})
Search in one specifying absolute path and not in all "Barcode" fields
find({'Item.Item.Item.Barcode': '20044'})
This is my databse object:
{
"_id": {
"$oid": "633d7cc238d7f8dafeace6f5"
},
"Number": "2",
"Item": [
{
"Type": "FrameElement",
"Item": [
{
"Type": "Frame",
"Barcode": "20011"
},
{
"Type": "Frame",
"Barcode": "20012"
},
{
"Type": "SashElement",
"Item": [
{
"Type": "Sash",
"Barcode": "20021"
},
{
"Type": "Sash",
"Barcode": "20022"
},
{
"Type": "GlassBarElement",
"Item": [
{
"Type": "GlassBar",
"Barcode": "20031"
},
{
"Type": "GlassBar",
"Barcode": "20032"
}
]
}
]
},
{
"Type": "Glass",
"Barcode": "20016"
},
{
"Type": "GlassBarElement",
"Item": [
{
"Type": "GlassBar",
"Barcode": "20043"
},
{
"Type": "GlassBar",
"Barcode": "20044"
}
]
}
]
}
]
}
I want to remove a name/value pair from inside a json array and print it outside. I started by trying this and then expanding the whole request to be a json array. The solution mentioned above does not seem to be working.
Input :
[
{
"createdBy": "Admin",
"createdDate": "2022-09-08",
"modifiedBy": "Admin",
"attrs": [
{
"name": "Type",
"value": "Postpaid"
},
{
"name": "subscriber",
"value": "Paid"
},
{
"name": "Details",
"value": {
"createdDate": "today",
"description": "offer",
"id": null
}
}
],
"relatedInfo": [
{
"type": "Number",
"name": "000000"
},
{
"type": "Type",
"name": "Post"
}
]
},
{
"createdBy": "Admin",
"createdDate": "2022-09-08",
"modifiedBy": "Admin",
"attrs": [
{
"name": "Type",
"value": "Postpaid"
},
{
"name": "subscriber",
"value": "Paid"
},
{
"name": "Details",
"value": {
"createdDate": "today",
"description": "offer",
"id": null
}
}
],
"relatedInfo": [
{
"type": "Number",
"name": "000000"
},
{
"type": "Type",
"name": "Post"
}
]
}
]
Desired Output :
[
{
"createdBy": "Admin",
"createdDate": "2022-09-08",
"modifiedBy": "Admin",
"attrs": [
{
"name": "Type",
"value": "Postpaid"
},
{
"name": "subscriber",
"value": "Paid"
}
],
"Details": {
"createdDate": "today",
"description": "offer",
"id": null
},
"relatedInfo": [
{
"type": "Number",
"name": "000000"
},
{
"type": "Type",
"name": "Post"
}
]
},
{
"createdBy": "Admin",
"createdDate": "2022-09-08",
"modifiedBy": "Admin",
"attrs": [
{
"name": "Type",
"value": "Postpaid"
},
{
"name": "subscriber",
"value": "Paid"
}
],
"Details": {
"createdDate": "today",
"description": "offer",
"id": null
},
"relatedInfo": [
{
"type": "Number",
"name": "000000"
},
{
"type": "Type",
"name": "Post"
}
]
}
]
Current Jolt spec:
[
{
"operation": "shift",
"spec": {
"*": "[&]",
"attrs": {
"*": {
"name": {
"*": { "#2": "&4" },
"Details": {
"#(2,value)": "&1"
}
}
}
}
}
}
]
I can't seem to figure out how the jolt spec would change in case of the array
So far so good, just need to combine the attributes at a common node. To do this, I've used the identifiers [&1] and [&5] in order to reach the level of the outermost index within the tree such as
[
{
"operation": "shift",
"spec": {
"*": {
"*": "[&1].&",
"attrs": {
"*": {
"name": {
"*": {
"#2": "[&5].&4"
},
"Details": {
"#(2,value)": "[&5].&1"
}
}
}
}
}
}
}
]
I want to add value in array of the following json structure in mongo db collection "Scdtls".
I need to add value only where "Type": "Fees" and "IsCurrentVersion": true.
{
"_id": ObjectId("60e71243b484cf3ec22a6845"),
"Item": "School",
"Text": "School Details",
"Types": [
{
"Type": "Library",
"Values": [
{
"IsCurrentVersion": false,
"KeyWords": [
{
"_id": ObjectId("611a4f113800d6af3fc4814f"),
"Value": "Physics"
}
]
}
]
},
{
"Type": "Fees",
"Values": [
{
"IsCurrentVersion": false,
"KeyWords": [
{
"_id": ObjectId("611a4f113800d6af3fc4814f"),
"Value": "Admission"
},
{
"_id": ObjectId("611a4f113800d6af3fc4814k"),
"Value": "Canteen"
}
]
},
{
"IsCurrentVersion": true,
"KeyWords": [
{
"_id": ObjectId("611a4f113800d6af3fc4814g"),
"Value": "Tution"
}
]
}
]
}
]
}
This is how I am trying
db.Scdtls.update({
"Item": "School",
"Types.Type": "Fees",
"Types.Values.IsCurrentVersion": true
},
{
"$push": {
"Types.1.Values.$[].KeyWords": {
"_id": ObjectId(),
"Value": "Sports"
}
}
})
But it is also adding "Value": "Sports" in "Type" : "Fees" where "IsCurrentVersion": false.
Not able to understand the reason.
If I understand correctly, you can do the update you want using "arrayFilters", like this:
db.Scdtls.update({
"Item": "School",
"Types.Type": "Fees",
"Types.Values.IsCurrentVersion": true
},
{
"$push": {
"Types.$[x].Values.$[y].KeyWords": {
"_id": ObjectId("deadbeafcafebabec0deface"),
"Value": "Sports"
}
}
},
{
"arrayFilters": [
{ "x.Type": "Fees" },
{ "y.IsCurrentVersion": true }
]
})
Try it on mongoplayground.net.
Hey i am new to Avro Schema space, needed to convert Jason Array into Avro Schema.
Below Jason is kind of client which serviceName along-with enabler-
If Enabler is true means that particular service is taken by client
If Enabler is false means that particular service is not taken by client.
{
"clientName": "Haven",
"serviceDetailsList": [
{
"serviceName": "Service1",
"enabled": true
},
{
"serviceName": "Service2",
"enabled": true
},
{
"serviceName": "Service3",
"enabled": true
},
{
"serviceName": "Service4",
"enabled": false
},
{
"serviceName": "Service5",
"enabled": false
},
{
"serviceName": "Service6",
"enabled": true
}
]
}
I worked with below schema but not getting proper response.
"fields":[
{"name": "serviceName", "type": [ "Boolean", "false" ] , "aliases":[
"service1" ]
},
{"name": "serviceName", "type": [ "Boolean", "false" ] , "aliases":[
"service2" ]
}
]
Any help would be appreciated.
Thank you all of you,again i tried and able to get correct scheam. Correct Avro Schema is-
{
"name": "modelData",
"type": "record",
"namespace": "com.hi.model",
"fields": [
{
"name": "clientName",
"type": "string"
},
{
"name": "serviceDetailsList",
"type": {
"type": "array",
"items": {
"name": "serviceDetailsList_record",
"type": "record",
"fields": [
{
"name": "serviceName",
"type": "string"
},
{
"name": "enabled",
"type": "boolean"
}
]
}
}
}
]
}