I have the array structure like this
"fabricArray": [
{
"fabricName": "naveen",
"color": "blue",
"dia": "no",
"rolls": "yes",
"totalKgs": 545454545,
"remarks": "good"
}
],
I need to get particular feilds like fabricName,etc.how to access it?I have tried every possible method,
like fabricArray[0].fabricName
(All the elements present in the array are under same objectId 0) for more reference see the image from my database.Please help me in this issue
Related
I have a JSON similar to:
{
"orders":{
"678238": {
"orderId": 678238,
"itemName": "Keyboard"
},
"8723423": {
"orderId": 8723423,
"itemName": "Flash Drive"
}
}
}
I am trying JSON path to get first orderId. When I try $..orderId I get an array listing both orderId, then I tried $..[0].orderId to get first item from that array (following JsonPath - Filter Array and get only the first element). But it does not work. I am confused.
try this
console.log(jsonPath(json,"$['orders'].[orderId]")[0]); //678238
You're almost there. You need to combine the two things you've done.
$..orderId[0]
The ..orderId recursively searches for orderId properties, giving you all of their values, as you mentioned. Taking that result, you just need to apply the [0].
Be careful, though. Because your data is an object, keys are unordered, so the first one in the JSON text may not be the first one encountered in memory. You'll want to do some testing to confirm your results are consistent with your expectations.
Your JSON doesn't even have an array and you are expecting to get first item from the array which is why it's not working.
Suppose, if the structure of JSON is modified like this
{
"orders": [{
"orderId": 678238,
"itemName": "Keyboard"
},
{
"orderId": 8723423,
"itemName": "Flash Drive"
}
]
}
then you can use the query to get the first order.
$.orders[0].orderId
I need to loop through this optional array (it's only the sectional of JSON I have trouble with).
As you can see from the code:
The optional bullseye has an array rings. rings has arrays of expansionCriteria and expansionCriteria may or may not have actions.
How do I iterate and get all type, threshold in expansionCriteria? I also need to access all skillsToRemove under actions, if available.
I am rather new to Logic Apps, so any help is appreciated.
"bullseye": {
"rings": [
{
"expansionCriteria": [
{
"type": "TIMEOUT_SECONDS",
"threshold": 180
}
],
"actions": {
"skillsToRemove": [
{
"name": "Claims Foundation",
"id": "60bd469a-ebab-4958-9ca9-3559636dd67d",
"selfUri": "/api/v2/routing/skills/60bd469a-ebab-4958-9ca9-3559636dd67d"
},
{
"name": "Claims Advanced",
"id": "bdc0d667-8389-4d1d-96e2-341e383476fc",
"selfUri": "/api/v2/routing/skills/bdc0d667-8389-4d1d-96e2-341e383476fc"
},
{
"name": "Claims Intermediate",
"id": "c790eac3-d894-4c00-b2d5-90cd8a69436c",
"selfUri": "/api/v2/routing/skills/c790eac3-d894-4c00-b2d5-90cd8a69436c"
}
]
}
},
{
"expansionCriteria": [
{
"type": "TIMEOUT_SECONDS",
"threshold": 5
}
]
}
]
}
Please let me know if you need more info.
To generate the schema, you can remove the name of the object at the top of the code: "bullseye":
Thank you pramodvalavala-msft for posting your answer in MS Q&A for the similar thread .
" As you are working with a JSON Object instead of an Array, unfortunately there is no built-in function to loop over the keys. There is a feature request to add a method to extract keys from an object for scenarios like this, that you could up vote for it gain more traction.
You can use the inline code action to extract the keys from your object as an array (using Object.keys()). And then you can loop over this array using the foreach loop to extract the object that you need from the main object, which you could then use to create records in dynamics."
For more information you can refer the below links:
. How to loop and extract items from Nested Json Array in Logic Apps .
.Nested ForEach Loop in Workflow. .
Ok, so this is going to be a complicated question, I hope I'm clear. Full admission, I just finished a Bootcamp yesterday so I'm not aware of a lot of technologies out there, and I think I may need additional technologies to accomplish what I'm looking for...
Right now, I have an application that uses bandsintown API call to populate a database. What I've noticed is that bandsintown isn't consistent with their data returns in each object, which makes operations after retrieving the objects difficult/seemingly impossible. An example would be that different artists performing at the same venue returns different latitude, longitude, venue name, etc. Examples:
Here is Primus playing at Bonnaroo:
{
"offers": [],
"venue": {
"country": "United States",
"city": "Manchester",
"latitude": "35.4839582",
"name": "Bonnaroo Music and Arts Festival 2020",
"location": "",
"region": "TN",
"longitude": "-86.08963169999998"
},
"datetime": "2020-09-25T12:00:00",
"on_sale_datetime": "",
"description": "",
"lineup": [
"Primus"
],
"bandsintown_plus": false,
"id": "1020701795",
"title": "",
"artist_id": "1263",
"url": "https://www.bandsintown.com/e/1020701795?app_id=451f31b2808001d069daed45c32a9dac&came_from=267&utm_medium=api&utm_source=public_api&utm_campaign=event"
}
compared to The Weeknd playing at Bonnaroo:
{
"id": "18604416",
"url": "https://www.bandsintown.com/e/18604416?app_id=451f31b2808001d069daed45c32a9dac&came_from=267&utm_medium=api&utm_source=public_api&utm_campaign=event",
"datetime": "2017-05-17T19:00:00",
"title": "",
"description": "",
"venue": {
"location": "",
"name": "Bonnaroo",
"latitude": "35.476247",
"longitude": "-86.081026",
"city": "Manchester",
"country": "United States",
"region": "TN"
},
"lineup": [
"The Weeknd"
],
"offers": [],
"artist_id": "1371750",
"on_sale_datetime": "",
"bandsintown_plus": false
}
My issue is now I wish to aggregate and $group in MongoDB because both events were at Bonnaroo, but the Object{venue.name} is not the same... Even the latitude & longitude is different so I can't use those either. I'm wondering if there is a way to alter the data of the objects automatically without having to go into the DB and edit individual objects. Both these events include the word Bonnaroo, so could I have something find and match text and then slice out the text that isn't similar? If so, can I then use the matched venue name field as a reference to change the latitude & longitude values too?
I hope I was clear, feel free to ask any clarifying questions if I wasn't. This site has helped me so many times and I appreciate all the hard work the community puts in to help each other! Thanks ahead of time!
~~~EDIT~~~
Thanks for the first reply #morad takhtameshloo.
So I was able to build something before I saw your reply that splits the data into an array, which is along the same lines as what you offered. The only thing that won't work is the $arrayToElem with the index cause there are some venues that:
Have multiple-word names (e.g. The Stone Pony)
Have words before the actual venue name (saw it in one result that was like
"Verizon Live Presents at The Stony Pony")
Using this Bonnaroo example, I have the new field returning every word as a value in the array:
"venueName": ["Bonnaroo", "Music", "and","Arts","Festival","2020"]
My next step is going to be to compare the [venueName] of the 'Primus' object and the 'The Weeknd' object, find what values in the array are the same, and return them back to the value of "venueName".
Hope this makes more sense, I appreciate your input!
actual the trick depends to your data, you should provide more data if the ones you've provided does not depict the whole problem
in other words how deep you want to dive in.
for the dumbest answer, at least for the data you've provided
db.prod4.aggregate([
{
$addFields: {
venueName: {
$arrayElemAt: [{ $split: ['$venue.name', ' '] }, 0],
},
},
},
])
but that not the case of course, something that comes to mind is that venue's geolocations for the same venue should not be far away from each other, for instance, the data you've provided two locations are in 1.16 KM of each other.
so another dummy solution that works would be writing a simple script that selects a random element from the array of all data, and finds data that their lat/lng is for example in 2km of that point, and removes those elements from array and selects another random element from the array and do the same
if you provide more data it would be much more easier, because the easiest solution is to find many patterns and plan only for them
Querying to get an element from an array that is nested in an object is not a big deal. But, when you have a self-repeating structure that is nested within itself, it seems to become much more complicated. Here is an example document:
{
"_id": "1",
"name": "Alpha",
"options": [
{
"_id": "2",
"name": "Bravo",
"options": [
]
},
{
"_id": "3",
"name": "Charlie",
"options": [
{
"_id": "4",
"name": "Delta",
"options": [
...etc
]
}
]
}
]
}
As you can see, here we have a number of arrays holding objects that are alike. This is useful for, say, a tabbed interface being configured out of a DB.
What I'm looking to do is actually be able to modify the documents that are further down in the structure without knowing their positions in the ancestor arrays. So far I've only found the "$" update operator helpful when you don't have to deal with more than one level of arrays. But as you can see, there are arrays within objects that are inside of arrays here, so it becomes complicated.
Pushing to an array in the first level is not difficult:
db.myCollection.update({_id: "1", "options._id": "2"}, {$push: {"options.$.options": {...object definition here...}}});
This works. However, when you try to go deeper into the structure, I don't understand how to target the deeper portions of the document.
The following query is not working for me, and I'm hoping somebody could help me out:
db.myCollection.update({_id: "1", "options.options._id": "4"}, {"options.options.$.options": {...object definition here...}});
It whines about how I can't use dot syntax. Which makes sense, because in this case "options.options" is ambiguous. I was hoping that the query selection would have pointed to the right place.
tl;dr: How do you update document portions that are multiple levels deep nested within more than one array where you do not know the index of the target element? You can select it, so you should be able to modify it.
I recently found jsonschema and I've been loving using it, however recently I've come across something that I want to do that I just haven't been able to figure out.
What I want to do is to validate that an array must contain an element that matches a schema, but I don't want to have validation fail on other elements that would be in the list.
Say that I have an array like the following:
arr = [
{"some object": True},
False,
{"AnotherObj": "a string this time"},
"test"
]
I want to be able to do something like "validate that arr contains an object that has a property 'some object' that is a boolean, and error if it doesn't, but don't care about other elements."
I don't want it to validate the other items in the list. I just want to make sure that the list contains an element that matches the schema at least once. I also do not know the order which the elements will arrive in the array.
I've tried this already with a schema like:
{"type": "array",
"items": {
"type": "object",
"properties": {
"tool": {
# A schema here to validate tool
},
"required": ["tool"]
}
}
The problem is that it requires every item in the array to have the property "tool", and not what I actually want.
Any help anyone can give me with this would be much appreciated! I've been stumped on this for a really long time with no forward progress.
Thanks!
I've gotten an answer to this question:
The schema used is (where ... B ... is the schema to require):
{
"type": "array",
"not": {
"items": {
"not": {... B ...}
}
}
}
It basically works out to be something like "Ensure that not (items don't match B)". I'm not 100% clear on why this works the way it does, but it does so I figured I'd share it for posterity.