Have the following response payload, I want to fetch the Order Number and Total Order Number and pass it on to a for each controller, but it is not working.
I am able to fetch the total number, but it is not passing to for each controller, may be doing some mistake in the variable assignment,
{
"orderDetails": {
"orderCode": 490278,
"studyCode": "test_2"
},
"sites": [
{
"orderCode": 490278,
"siteRecid": 16521,
"siteId": "11001"
}
],
"orders": [
{
"orderNumber": 4027,
"siteName": "flipKart",
"siteNameCode": "flipKart",
"orderAmount": 10
},
{
"orderNumber": 4590,
"siteName": "flipKart_1",
"siteNameCode": "flipKart 1",
"orderAmount": 20
},
{
"orderNumber": 1678,
"siteName": "flipKart_2",
"siteNameCode": "flipKart 2",
"orderAmount": 30
},
{
"orderNumber": 1762,
"siteName": "flipKart_3",
"siteNameCode": "flipKart 3",
"orderAmount": 40
},
{
"orderNumber": 1566,
"siteName": "flipKart_4",
"siteNameCode": "flipKart 4",
"orderAmount": 50
},
{
"orderNumber": 1432,
"siteName": "flipKart_5",
"siteNameCode": "flipKart 5",
"orderAmount": 60
},
{
"orderNumber": 1089,
"siteName": "flipKart_6",
"siteNameCode": "flipKart 6",
"orderAmount": 70
},
{
"orderNumber": 9078,
"siteName": "flipKart_7",
"siteNameCode": "flipKart 7",
"orderAmount": 80
},
{
"orderNumber": 4508,
"siteName": "flipKart_8",
"siteNameCode": "flipKart 8",
"orderAmount": 90
},
{
"orderNumber": 4278,
"siteName": "flipKart_9",
"siteNameCode": "flipKart 9",
"orderAmount": 100
},
{
"orderNumber": 9028,
"siteName": "flipKart_10",
"siteNameCode": "flipKart 10",
"orderAmount": 110
}
]
}
Fetch the total number of orders,
For each controller is not running. Thanks in Advance
It is working fine, in the ForEach Controller you need to use just OrderNumberTotal without ${}, take a look at ForEach Controller documentation example screenshot:
there are variable names like inputVar, not variable reference like ${inputVar}
Also be informed that starting from JMeter 3.1 you should be using JSR223 Test Elements and Groovy language for scripting so consider migrating.
More information: Apache Groovy: What Is Groovy Used For?
Related
I'm trying to use JSONata to convert arrays of "key/value" objects into properties of the parent object. My input looks like this:
[
{
"city": "Ottawa",
"properties": [
{
"name": "population",
"value": 37
},
{
"name": "postalCode",
"value": 10001
},
{
"name": "founded",
"value": 1826
}
]
},
{
"city": "Toronto",
"properties": [
{
"name": "population",
"value": 54
},
{
"name": "postalCode",
"value": 10002
}
]
}
]
I'm struggling to generate the output I need, I've seen examples that reference explicit elements, like in this answer, but I need the properties to be converted "dynamically" since I don't know them in advance. I think I need something like this, but I'm missing some particular function:
$[].{
"city": city,
properties.name: properties.value
}
This is the output I need to generate:
[
{
"city": "Ottawa",
"population": 37,
"postalCode": 10001,
"founded": 1826
},
{
"city": "Toronto",
"population": 54,
"postalCode": 10002
}
]
The properties arrays don't always contain the same keys, but the city attributes are always present.
You can use the reduce operator, as described in the Grouping docs here:
$[].(
$city := city;
properties{ "city": $city, name: value }
)
You can play with it live: https://stedi.link/uUANwtE
Please try this expression.
$[].{
"city": $.city,
$.properties[0].name: $.properties[0].value,
$.properties[1].name: $.properties[1].value,
$.properties[2].name: $.properties[2].value,
$.properties[3].name: $.properties[3].value
}
https://try.jsonata.org/s1Ea4kUvo
Want to use Google Places API nearby search for reverse lookup using coordinates.
I use nearbysearch endpoint.
https://maps.googleapis.com/maps/api/place/nearbysearch/json?location=-33.892674%2C151.200727&rankby=distance&type=bar&key=...
What is missing is formatted_address.
When trying to use textsearch instead, I do get formatted_address.
https://maps.googleapis.com/maps/api/place/textsearch/json?location=-33.892674%2C151.200727&rankby=distance&type=bar&key=...
Both return the same first place_id and look very similar.
Differences I noticed:
textsearch: formatted_address, empty opening_hours are included
nearbysearch: vicinity, scope, empty opening_hours are not included
How do I get formatted_address?
Update: I checked and both types should return the same fields.
details
When searching by distance & type I guess I could use either nearbysearch or textsearch, but when searching by prominence I will have to use nearbysearch as textsearch requires either type or query.
The query I would like to use (using nearbysearch, so missing formatted_address):
https://maps.googleapis.com/maps/api/place/nearbysearch/json?location=-33.892674%2C151.200727&rankby=prominence&radius=500&key=...
Full output textsearch
{
"business_status": "OPERATIONAL",
"formatted_address": "7 Cope St, Redfern NSW 2016",
"geometry": {
"location": {
"lat": -33.892682,
"lng": 151.20075
},
"viewport": {
"northeast": {
"lat": -33.89147812010727,
"lng": 151.2019769298927
},
"southwest": {
"lat": -33.89417777989272,
"lng": 151.1992772701072
}
}
},
"icon": "https://maps.gstatic.com/mapfiles/place_api/icons/bar-71.png",
"id": "d8b3f319ad00fafd66527b248e450284a53386c2",
"name": "Arcadia",
"opening_hours": {
"open_now": true
},
"photos": [
{
"height": 3000,
"html_attributions": [
"Colin Hannah"
],
"photo_reference": "CmRaAAAAvnYeIFoCoiiQoyRqKQqpz1yJK71eXM3wYuCiTFTTtj3iwTiIW_z865AfLogqMiEyyBh5GqZoxAcHDmzyE8KelhGEh3C-ggm5LQDGK4zFWxdTNCholvXurq0ce7zLoztgEhBgklqzYxK5jhDhwqB5wuabGhQRUb448z5zV9l7EDSmXLMo5icv1w",
"width": 4000
}
],
"place_id": "ChIJ3Y3vQdqxEmsRTvCcbZnsYJ8",
"plus_code": {
"compound_code": "4642+W7 Redfern, New South Wales",
"global_code": "4RRH4642+W7"
},
"price_level": 2,
"rating": 4.5,
"reference": "ChIJ3Y3vQdqxEmsRTvCcbZnsYJ8",
"types": [
"bar",
"point_of_interest",
"establishment"
],
"user_ratings_total": 279
},
Full output nearbysearch:
{
"business_status": "OPERATIONAL",
"geometry": {
"location": {
"lat": -33.892682,
"lng": 151.20075
},
"viewport": {
"northeast": {
"lat": -33.8914789697085,
"lng": 151.2019760802915
},
"southwest": {
"lat": -33.89417693029149,
"lng": 151.1992781197085
}
}
},
"icon": "https://maps.gstatic.com/mapfiles/place_api/icons/bar-71.png",
"id": "d8b3f319ad00fafd66527b248e450284a53386c2",
"name": "Arcadia",
"opening_hours": {
"open_now": true
},
"photos": [
{
"height": 3024,
"html_attributions": [
"Milan"
],
"photo_reference": "CmRaAAAA7u4ZpZOddZ8ypuGySsQ1lG0HEX4Ke0DHeYtHYN1gEchx-yf1U-DVLNHVdmFVLoocHbMmWlMVCqcW9oMnpDC4-dw6ObZAovVQG90GpVD3sYeMEpzBB80yjhttjZ1lsIEdEhCzQJane_k8xy-HlI9ZlE9WGhQJ13KgR88Q239e8ocBCt5H0BgpKQ",
"width": 4032
}
],
"place_id": "ChIJ3Y3vQdqxEmsRTvCcbZnsYJ8",
"plus_code": {
"compound_code": "4642+W7 Redfern NSW, Australia",
"global_code": "4RRH4642+W7"
},
"price_level": 2,
"rating": 4.5,
"reference": "ChIJ3Y3vQdqxEmsRTvCcbZnsYJ8",
"scope": "GOOGLE", <===========
"types": [
"bar",
"point_of_interest",
"establishment"
],
"user_ratings_total": 279,
"vicinity": "7 Cope Street, Redfern" <===========
},
Comment from #MrUpsidown points to the documentation where it is stated:
A Text Search response is similar, except that it returns a formatted_address instead of a vicinity property
So, it seems that's just the way it is.
"formatted_address": "7 Cope St, Redfern NSW 2016",
vs
"vicinity": "7 Cope Street, Redfern"
I'm trying to create a pie chart with a custom set of colours using Am4Charts and the createFromConfig method.
I've followed the tutorial here but the chart keeps appearing with it's default color set.
Here is a sample of the JSON I've tried:
"innerRadius": 100,
"colors": {"list": ["#ff0000", "#00ff00", "#0000ff" ]},
"data": {
"0": {
"pot": "Within 8 days",
"value": "£111,119.70",
},
"1": {
"pot": "9 - 17 days",
"value": "£225,537.73"
},
"2": {
"pot": "18+ days",
"value": "£720,279.85"
}
},
"legend": [],
"xAxes": [
{
"type": "CategoryAxis",
"title": {
"text": "pot"
},
"dataFields": {
"category": "pot",
"title": {
"text": "Month"
}
},
"renderer": {
"labels": {
"rotation": 190,
"verticalCenter": "middle",
"horizontalCenter": "left"
}
}
}
],
"series": [
{
"type": "PieSeries",
"dataFields": {
"value": "value",
"category": "pot"
},
"ticks": {
"disabled": true
},
"labels": {
"disabled": true
},
}
],
Can somebody see where I've gone wrong?
Update 2:
Fixed in 4.0.0-beta.85.
Make sure you clear your browser cache after upgrading. And feel free to contact us again if you are still experiencing this issue.
Update 1:
Response from amchart contributor/CTO Martynas Majeris (https://github.com/martynasma):
Looks like there are two issues: documentation is wrong and there's a bug that prevents it from working :)
I updated the docs. It should say this:
{
// ...
"series": [{
// ...
"colors": {
"list": [
"#845EC2",
"#D65DB1",
"#FF6F91",
"#FF9671",
"#FFC75F",
"#F9F871"
]
}
}]
}
Also, fixed bug in dev version. New version will be released within 1-2 days.
Original
This might be a bug and I have opened an issue on amchart github. I will update this once I get a response: https://github.com/amcharts/amcharts4/issues/577
By the way, I do think your configuration JSON has couple issues:
data is an array, not an object
legend is an object, not an array
This is what I used to create the pie chart demo for the opened issue:
// Create chart instance in one go
let chart = am4core.createFromConfig({
"colors": {
"list": ["#ff0000","#00ff00", "#0000ff"]
},
// Create pie series
"series": [{
"colors": ["#ff0000","#00ff00", "#0000ff"],
"type": "PieSeries",
"dataFields": {
"value": "value",
"category": "pot"
}
}],
// Add data
"data": [{
"pot": "Within 8 days",
"value": "£111,119.70"
}, {
"pot": "9 - 17 days",
"value": "£225,537.73"
}, {
"pot": "18+ days",
"value": "£720,279.85"
}],
// Add legend
"legend": {},
"innerRadius": 100
}, "chart", am4charts.PieChart);
Ok, here is my problem:
At backend I have java spring boot, with mongodb and elasticsearch.
I have documents structured like this in my elasticsearch:
{ "id": 1,
"prefixes": [
{
"prefName": "RS",
"value": "c"
},
{
"prefName": "99c",
"value": "c"
},
{
"prefName": "RT",
"value": "a"
},
{
"prefName": "001b",
"value": "a"
},
{
"prefName": "DT",
"value": "m"
},
{
"prefName": "001c",
"value": "m"
},
{
"prefName": "001d",
"value": "b"
},
{
"prefName": "RN",
"value": "16"
},
{
"prefName": "001e",
"value": "16"
},
{
"prefName": "BN",
"value": "2-228-32590-2"
},
{
"prefName": "010a",
"value": "2-228-32590-2"
},
{
"prefName": "SS",
"value": "d"
},
{
"prefName": "100b",
"value": "d"
},
{
"prefName": "PY",
"value": "1975"
},
{
"prefName": "100c",
"value": "1975"
},
{
"prefName": "LA",
"value": "fre"
},
{
"prefName": "101a",
"value": "fre"
},
{
"prefName": "CO",
"value": "fra"
},
{
"prefName": "102a",
"value": "fra"
},
{
"prefName": "KW",
"value": "Ekole et psychologie individuelle comparee"
}] }
From client app I'm passing object with this structure:
{
"pref1": "(prefixName - value)",
"pref2": "(prefixName - value)",
"pref3": "(prefixName - value)",
"pref4": "(prefixName - value)",
"pref5": "(prefixName - value)",
"text1": "(prefix value - value)",
"text2": "(prefix value - value)",
"text3": "(prefix value - value)",
"text4": "(prefix value - value)",
"text5": "(prefix value - value)",
"operator1": "(logical OR,AND,NOT)",
"operator2": "(logical OR,AND,NOT)",
"operator3": "(logical OR,AND,NOT)",
"operator4": "(logical OR,AND,NOT)"
}
So, I have 5 optional prefixes to chose( pref1, pref2... for example RS, RT..),
text fields are their values and should be matched by phrase prefix. The problem is that I have 4 logical operators that links those queries. Can someone direct me how to structure adequate elasticsearch query to fulfill these needs.
Search form img
Here is the search form and the result should be documet which:
Has prefix AU - Sheakspeare* AND prefix 041a - 99c OR prefix RN - 23 AND prefix LA NOT 23.
Have a Json out put like
{
"query": {
"results": {
"industry": [
{
"id": "112",
"name": "Agricultural Chemicals",
"company": [
{
"name": "Adarsh Plant",
"symbol": "ADARSHPL"
},
{
"name": "Agrium Inc",
"symbol": "AGU"
}
},
]
{
"id": "914",
"name": "Water Utilities",
"company": [
{
"name": "Acque Potabili",
"symbol": "ACP"
},
{
"name": "Water Resources Group",
"symbol": "WRG"
}
]
}
]
}
}
}
Need the out put like - Company Name, Company Symbol, Company id,
Company id name
and example of output would be
Adarsh Plant, ADARSHPL, 112, Agricultural Chemicals
Agrium Inc, AGU, 112, Agricultural Chemicals
Acque Potabili, ACP, 914, Water Utilities
Water Resources Group, WRG, 914, Water Utilities
Any suggestions
There's a typo in your sample json, but we'll talk about it later.
Assuming your json data converted to hash object already like this:
json={
"query"=> {
"results"=> {
"industry"=> [
{
"id"=> "112",
"name"=> "Agricultural Chemicals",
"company"=> [
{
"name"=> "Adarsh Plant",
"symbol"=> "ADARSHPL"
},
{
"name"=> "Agrium Inc",
"symbol"=> "AGU"
}
]
},
{
"id"=> "914",
"name"=> "Water Utilities",
"company"=> [
{
"name"=> "Acque Potabili",
"symbol"=> "ACP"
},
{
"name"=> "Water Resources Group",
"symbol"=> "WRG"
}
]
}
]
}
}
}
You can use inject and map to handle the two level array of industry, inject will iterate the outer array:
json["query"]["results"]["industry"].inject([]){|m,o|
m += o["company"].map{|x| [x["name"],x["symbol"],o["id"],o["name"]]}
}
result is an array of arrays with the order as you wish:
=> [["Adarsh Plant", "ADARSHPL", "112", "Agricultural Chemicals"],
["Agrium Inc", "AGU", "112", "Agricultural Chemicals"],
["Acque Potabili", "ACP", "914", "Water Utilities"],
["Water Resources Group", "WRG", "914", "Water Utilities"]]
If you want get a string delimited by comma, you could chain on .flatten.join(",") at the end.
json["query"]["results"]["industry"].inject([]){|m,o|
m += o["company"].map{|x| [x["name"],x["symbol"],o["id"],o["name"]]}
}.flatten.join(",")
Result:
=> Adarsh Plant,ADARSHPL,112,Agricultural Chemicals,Agrium Inc,AGU,112,Agricultural Chemicals,Acque Potabili,ACP,914,Water Utilities,Water Resources Group,WRG,914,Water Utilities
The typo of your json data:
In the middle }, ] { should be changed to ] },{ .
Convert json to hash
https://stackoverflow.com/a/7964378/3630826