I want to delete the latitude and longitude
{
"property_status": "available",
"property_address": {
"latitude": 35.1269874,
"longitude": 45.34897523
}
}
As you didn't provide any context, let me show you how to do this in AQL:
FOR doc IN coll
FILTER ... // find the right document(s)
UPDATE MERGE(doc, { property_address: {} }) IN coll
The idea of the query is to replace the attribute value of property_address with an empty object. If that object contained additional sub-attributes apart from latitude and longitude that you want to keep, then this is not an option.
Let's assume the following document:
{
"_key": "1234",
"property_status": "available",
"property_address": {
"latitude": 35.1269874,
"longitude": 45.34897523,
"place": "Kalar"
}
}
If we want to remove latitude and longitude, but not place, then you can do the following in AQL:
FOR doc IN coll
FILTER doc._key == "1234"
UPDATE MERGE(doc, {
property_address: UNSET(doc.property_address, "latitude", "longitude")
}) IN coll
Related
here is the document
formId: 123,
title:"XYZ"
eventDate:"2022-04-15T05:40:57.182Z"
responses:[
{
orderId:98422,
name:"XYZ1",
email:"a#gmal.com",
paymentStatus:"pending",
amount:250,
phone:123456789
},
{
orderId:98422,
name:"XYZ1",
email:"a#gmal.com",
paymentStatus:"success",
amount:250,
phone:123456791
}
]
I used $elemMatch to filter the array such that I get only the matched object.
const response = await Form.findOne({ formId:123 }, {
_id:0,
title: 1,
eventDate: 1,
responses: {
$elemMatch: { orderId: 98422 },
},
})
But this returns all the fields inside the object present in the array "responses".
title:"XYZ"
eventDate:"2022-04-15T05:40:57.182Z"
responses:[
{
orderId:98422,
name:"XYZ1",
email:"a#gmal.com",
paymentStatus:"pending",
amount:250,
phone:123456789
}
]
But I want only specific fields to be returned inside the object like this
title:"XYZ"
eventDate:"2022-04-15T05:40:57.182Z"
responses:[
{
name:"XYZ1",
email:"a#gmal.com",
paymentStatus:"pending",
}
]
How can i do that ?
Query
aggregation way to keep some members and edit them also
map on responses if orderId matches keep the fields you want, the others are replaced with null
filter to remove those nulls (members that didnt match)
here 2 matches if you want to keep only one member of the array you can use
[($first ($filter ...)]
*$elemMatch that you used can be combined with the $ project operator to avoid the aggregation, but with $ operator we get all the matching member (here you want only some fields so i think aggregation is the way)
Playmongo
aggregate(
[{"$match": {"formId": {"$eq": 123}}},
{"$project":
{"_id": 0,
"title": 1,
"eventDate": 1,
"responses":
{"$map":
{"input": "$responses",
"in":
{"$cond":
[{"$eq": ["$$this.orderId", 98422]},
{"name": "$$this.name",
"email": "$$this.email",
"paymentStatus": "$$this.paymentStatus"},
null]}}}}},
{"$set":
{"responses":
{"$filter":
{"input": "$responses", "cond": {"$ne": ["$$this", null]}}}}}])
I am trying to create a CouchDB Mango Query with an index with the hope that the query runs faster. At the moment I have the following Mango Query which returns what I am looking for but it's slow. Therefore, I assume, I need to create an index to make it faster. I need help figuring out how to create that index.
selector: {
categoryIds: {
$in: categoryIds,
},
},
sort: [{ publicationDate: 'desc' }],
You can assume that my documents are let say news articles from different categories. Therefore in each document I have a field that contains one or more categories that the news article belongs to. For that I have an array of categoryIds for each document. My query needs to be optimized for queries like "Give me all news that have categoryId1 in their array of categoryIds sorted by publicationDate". What I don't know how to do is 1. How to define an index 2. What that index should be 3. How to use that index in "use_index" field of the Mango Query. Any help is appreciated.
Update after "Alexis Côté" answer:
If I define the index like this:
{
"_id": "_design/0f11ca4ef1ea06de05b31e6bd8265916c1bbe821",
"_rev": "6-adce50034e870aa02dc7e1e075c78361",
"language": "query",
"views": {
"categoryIds-json-index": {
"map": {
"fields": {
"categoryIds": "asc"
},
"partial_filter_selector": {}
},
"reduce": "_count",
"options": {
"def": {
"fields": [
"categoryIds"
]
}
}
}
}
}
And run the Mango Query like this:
{
"selector": {
"categoryIds": {
"$in": [
"e0bd5f97ac35bdf6893351337d269230"
]
}
},
"use_index": "categoryIds-json-index"
}
It still does return the results but they are not sorted in the order I want by publicationDate. So I am not clear what you are suggesting the solution is.
You can create an index as documented here
In your case, you will need an index on the "categoryIds" field.
You can specify the index using "use_index": "_design/<name>"
Note:The query planner should automatically pick this index if it's compatible.
I have two resolver.
The one is Company resolve that return the company details like id, name and list of documents ids, like this example:
{
"data": {
"companyOne": {
"name": "twitter",
"documents": [
"5c6c0213f0fa854bd7d4a38c",
"5c6c02948e0001a16529a1a1",
"5c6c02ee7e76c12075850119",
"5c6ef2ddd16e19889ffaffd0",
"5c72fb723ebf7b2881679ced",
"5c753d1c2e080fa4a2f86c87",
...
]
}
}
}
And the another resolver gets me all the details of documents like this example:
{
"data": {
"documentsMany": [{
"name": "doc1",
"_id": 5c6c0213f0fa854bd7d4a38c,
}, {
"name": "doc2",
"_id": 5c6c02948e0001a16529a1a1,
},
...
]
}
}
How to match every data.companyOne.documents[id] to data.documentsMany[..]._id? in the query level? is it possible to do this graphql?
The expect results should be when I run the companyOne query (without change the code - just in the query level) it's should return with documents as object instead of array of string ids.
maybe something like?
query {
companyOne {
name,
documents on documentsMany where _id is ___???
}
}
I would like to create a map/reduce function that filters the documents based on a nested value from the child document. But retrieve the parent document.
I have following documents:
{
"_id": "1",
"_rev": "1-991baf1d86435a73a3460335cc19063c",
"configuration_id": "225f9d47-841c-43c2-90c2-e65bb49083d3",
"name": "test",
"image": "",
"type": "A",
"created": "",
"updated": 1,
"destroyed": ""
}
{
"_id": "225f9d47-841c-43c2-90c2-e65bb49083d3",
"_rev": "1-3e3a1c357c86cbd1cd42b5980b9655a4",
"configuration_packages_id": "cd19b0ba-157d-4dd4-adac-56fd470bfed4",
"configuration_distribution_id": "5b538411-ca99-46c7-ac3c-1f382e4577a9",
"type": "CONFIGURATION",
"configuration": {
"hostname": "example123",
"images": [
"image1",
"image2"
]
}
}
Now I would like to retrieve all the documents of type A and with hostname example123.
At the moment I retrieve all the document of type A like this:
function (doc) {
if (doc.type === "A") {
emit([doc.updated], doc);
}
}
But now I would also like to filter on the host name as well.
I'm not sure on how to achieve this with CouchDB.
TLDR;
You cannot do this
Details
Your "nested" document is only accessible through a join but you can't query it.
The correct way to do that kind of query natively would have been to have a real nested document inside the parent document. Separating those documents has a cost.
Join example
function (doc) {
if (doc.type === "A") {
emit([doc.updated,0]);
emit([doc.updated,1],["_id":doc.configuration_id]);
}
}
If you query the view with "include_docs=true", this will get you the configuration document linked as well as the parent document itself. Then you can query to get the updated docs, merge the nested(1) with the parents(0) and filter them.
i have a Mongodb collection named "EVENTS" and in the collection i have an object of array which looks like this:
{
"Events":[
{
"_id":"53ae59883d0e63aa77f7b5b2",
"Title":"Title Blank",
"Desc":"Description Blank",
"Date":"2014-06-04 00:30",
"Link":"http://googleparty.com",
"Event":"Victoria Centre",
"dateCreated":"28/6/2014 06:58"
},
{
"_id":"53ae59883d0e63aa77f7b5b3",
"Title":"Hello World",
"Desc":"hello",
"Date":"2014-06-04 00:30",
"Link":"http://linkedinparty.com",
"Event":"social",
"dateCreated":"30/2/2014 11:10"
}
]
}
how would i delete an object by id in node.js so " delete(53ae59883d0e63aa77f7b5b2)" will yield this:
{
"Events":[
{
"_id":"53ae59883d0e63aa77f7b5b3",
"Title":"Hello World",
"Desc":"hello",
"Date":"2014-06-04 00:30",
"Link":"http://linkedinparty.com",
"Event":"social",
"dateCreated":"30/2/2014 11:10"
}
]
}
Regards
If all you really want to do is "empty" the array then you just need to use the $set operator with an .update() and "set" the array as an empty one:
db.collection.update({},{ "$set": { "Events": [] } },{ "mutli": true})
So the .update() operation takes a "query" to select the documents in your collection, a blank query as shown selects everything. The "update" section contains the $set operation that just replaces the current "Events" field with an empty array.
The "multi" option there makes sure this is applied to every document that matches. The default is false and will only update the first document that matches.
For more specific operations removing selected array elements, look at the $pull operator. Your edit shows now that this is what you want to do:
db.collection.update(
{ "Events._id": ObjectId("53ae59883d0e63aa77f7b5b2") },
{ "$pull": { "Events": { "_id": ObjectId("53ae59883d0e63aa77f7b5b2") } } }
)
But your inclusion of arrays with _id fields seems to indicate that you are using mongoose, so the ObjectId values are cast automatically:
Model.update(
{ "Events._id": "53ae59883d0e63aa77f7b5b2" },
{ "$pull": { "Events": { "_id": "53ae59883d0e63aa77f7b5b2" } } },
function(err,numAffected) {
}
);