I have the following document for example :
{
"name" : "sara",
"family" : "schwimmer",
"age" : 23,
"Address": {
"StateID": 12,
"Phone": 0,
"ZipCode": 0
},
"create_date": "2021-08-25 17:55:03"
}
i want to add new key in Address to be like below:
"Address": {
"StateID": 12,
"Phone": 0,
"ZipCode": 0,
"StateName" : "NW"
}
so i wrote my update as fllowing:
FOR p IN Person
FOR a IN Area FILTER p.Address.StateID == a.ID
UPDATE {_key : p._key, p.Address.StateName : a.Name} IN Person
I get an error when i run this query, so i tried to turn p.Address.StateName into [p.Address.StateName] or "p.Address.StateName" , it executes successfully after execution but does not add new StateName key to address. How do I write a query to add a new key to Address?
FOR p IN Person
FOR a IN Area FILTER p.Address.StateID == a.ID
UPDATE {_key : p._key, Address: MERGE(p.Address, { StateName: Name} ) } IN Person
Try this, use MERGE to merge the existing Address key with the new mini object you created that only has StateName in it.
Actually, this may also be possible:
FOR p IN Person
FOR a IN Area FILTER p.Address.StateID == a.ID
UPDATE {_key : p._key, Address: { StateName: Name} } IN Person
https://www.arangodb.com/docs/stable/aql/operations-update.html
This page shows some available options on the UPDATE that deal with how to remove keys, merge objects, etc.
Related
I have tried to get sorted in backend & tested via postman and I am getting sorted order.
const locationInfo = await locationDetails.find(query).sort({sectionName:1});
res.json(locationInfo);
[
{ //some other keys &values
"sectionName": "Closet",
},
{
"sectionName": "Dining",
},
{
"sectionName": "Kitchen",
},
{
"sectionName": "Other",
},
{
"sectionName": "Refrigerator",
}
]
After REST call storing result to,
this.result=data;
but when I try to display the same resultant data on UI, Its not getting displayed in sorted order as well as checked in console also resultant data order got changed.
Console Data
[{
sectionName: "Refrigerator",
},
{
sectionName: "Kitchen",
},
{
sectionName: "Dining",
},
{
sectionName: "Closet",
},
{
sectionName: "Other",
}]
Note: Tried to sort from .ts file also but it is not working.
this.result.sort(function(a,b){a.sectionName-b.sectionName});
If any help would be appreciated. Thanks!
SectioName is not a valid criterion for MongoDB to sort the return result. In this case, MongoDB does not know how to sort it.
Here is an example directly from the MongoDB documentation about cursor.sort():
db.restaurants.insertMany( [
{ "_id" : 1, "name" : "Central Park Cafe", "borough" : "Manhattan"},
{ "_id" : 2, "name" : "Rock A Feller Bar and Grill", "borough" : "Queens"},
{ "_id" : 3, "name" : "Empire State Pub", "borough" : "Brooklyn"},
{ "_id" : 4, "name" : "Stan's Pizzaria", "borough" : "Manhattan"},
{ "_id" : 5, "name" : "Jane's Deli", "borough" : "Brooklyn"},
] );
# The following command uses the sort() method to sort on the borough field:
db.restaurants.find().sort( { "borough": 1 } )
Documents are returned in alphabetical order by borough, but the order of those documents with duplicate values for borough might not be the same across multiple executions.
.sort works best with numerical values. If you are in control of the backend and are able to change how data is stored in the database. I suggest you create a field for the creation date or just an index to indicate the order of the items.
Let's say your document looks something like this:
# Doc 1
{
sectionName: "Refrigerator",
order:1
}
# Doc 2
{
sectionName: "Refrigerator",
order:2
}
Then you can do
const locationInfo = await locationDetails.find(query).sort({order:1});
which will return you the documents sorted using the order field, and the order will be consistent.
I am new to ElasticsSearch and was messing around with it today. I have a node running on my localhost and was creating/updating my cat index. As I was adding more documents into my cat indexes, I noticed that when I do a GET request to see all of the documents in Postman, the new cats I make are not being added. I started noticing the issue after I added my tenth cat. All code is below.
ElasticSearch Version: 6.4.0
Python Version: 3.7.4
my_cat_mapping = {
"mappings": {
"_doc": {
"properties": {
"breed": { "type": "text" },
"info" : {
"cat" : {"type" : "text"},
"name" : {"type" : "text"},
"age" : {"type" : "integer"},
"amount" : {"type" : "integer"}
},
"created" : {
"type": "date",
"format": "strict_date_optional_time||epoch_millis"
}
}
}
}
}
cat_body = {
"breed" : "Persian Cat",
"info":{
"cat":"Black Cat",
"name": " willy",
"age": 5,
"amount": 1
}
}
def document_add(index_name, doc_type, body, doc_id = None):
"""Funtion to add a document by providing index_name,
document type, document contents as doc and document id."""
resp = es.index(index=index_name, doc_type=doc_type, body=body, id=doc_id)
print(resp)
document_add("cat", "cat_v1", cat_body, 100 )
Since the document id is passed as 100 it just updates the same cat document. I'm assuming its not changed on every run !?
You have to change the document id doc_id with every time to add new cat instead of updating existing ones.
...
cat_id = 100
cat_body = {
"breed" : "Persian Cat",
"info":{
"cat":"Black Cat",
"name": " willy",
"age": 5,
"amount": 1
}
}
...
document_add("cat", "cat_v1", cat_body, cat_id )
With this you can change both cat_id and cat_body to get new cats.
I have an issue with filtering in JHipster.
Here is my (relevant) jhipster-jdl.jh file :
entity Exercise {
name String required
}
entity Difficulty {
name String required
}
entity Language {
name String required
}
relationship ManyToMany {
Exercise{language(name)} to Language
}
relationship ManyToOne {
Exercise{difficulty} to Difficulty
}
filter Exercise
I generated the Springboot service with JHipster and did not change anything.
Let's say I have an exercise called "test" with difficulty "easy" and languages "spanish" and "dutch".
When I query the GET exercises endpoint with the filter name.equals=test :
http://localhost:8080/myservice/api/exercises?nameId.equals=test
I get this answer :
[
{
"id" : 1000,
"difficulty" : {
"id": 5,
"name": "easy"
},
"languages" : null,
"name" : "test"
}
]
As you can see, the issue is that I don't have direct access to the languages linked to my exercise.
Note that the difficulty field has no issue because it is a many-to-one relationship.
The database is not the source of these issues, because if I query the GET exercises/{id} endpoint with the exercise's id :
http://localhost:8080/myservice/api/exercises/1000
I get the right result :
{
"id" : 1000,
"difficulty" : {
"id": 5,
"name": "easy"
},
"languages" : [
{
"id" : 200,
"name" : "spanish"
},
{
"id" : 205,
"name" : "dutch"
}
],
"name" : "test"
}
Now let's try to query the GET exercises endpoint with the filter languageId.greaterOrEqualThan=200 (for the sake of the example) :
http://localhost:8080/myservice/api/exercises?languageId.greaterOrEqualThan=200
Then the response will be :
[
{
"id" : 1000,
"difficulty" : {
"id": 5,
"name": "easy"
},
"languages" : null,
"name" : "test"
},
{
"id" : 1000,
"difficulty" : {
"id": 5,
"name": "easy"
},
"languages" : null,
"name" : "test"
}
]
Notice that the exercise comes out twice (or n times if it has n languages meeting the constraint, I checked), which is problematic.
I feel like something in the JHipster generator is broken, but it seems unlikely because I did not find anybody talking about this quite crippling issue.
Did I do something wrong when generating my JHipster project ? Or is it a true issue ?
Please feel free to ask for any other piece of code, I'm not sure what could be relevant. Thanks.
Note : I noticed the exercise endpoint filters for the languages field use the singular (e.g. language.equals), I don't know if this is normal for a many-to-many relationship.
I have a collection data which has around 300k entries and its document looks like
{
"_id" : ObjectId("5xxx85"),
"user_id" : "1",
"name" : "test",
"user_private" : "0"
}
now i want to update all the documents in this collection and new document will look like
{
"_id" : ObjectId("5xxx85"),
"rid" : "1",
"user_name" : "test",
"is_private" : "private",
"is_moderator" : "true",
"amount" : "11111"
}
i.e i need to add new fields, update field names and check if user_private = 0 then put is_private as private or else put is_private as not_private.
I am a bit new so I am not able to get how can i do this efficiently as entries are around 300k.
Please suggest some ways, pseudo code will be really helpful
To update a document a filter criteria. Check pseudo code below and follow link to read more.
You'll need to have an existing value for user_private
db.messages.updateMany([
{ "user_private" : 0 }, // filter.
{ $set: {
"user_private" : "private",
"is_moderator" : "true"
}
}, // update.
{
upsert: true
}
]);
upserts - Creates a new document if no documents match the filter or Updates documents that match the filter based on the filter and update parameters provided.
My database contains a user collection in the form:
{
"userId": "12345",
"vertical": "BFS",
"Role": "Manager"
},
{
"userId": "12345",
"vertical": "Insurance",
"Role": "Manager"
},
{
"userId": "12367",
"vertical": "BFS",
"Role": "Associate"
}
I know vertical and manager and from this I have to find the userId. Then I have to find the verticals of the particular user.
Like in SQL:
select vertical
from user
where role="Manager"
and userid in (
select userid from user
where vertical="BFS" and role="Manager"
)
Kindly help on this. I am new to this technology.
Problem: We would like to get the data where a manager in BFS vertical is playing the Manager role in other verticals as well.
I would handle this problem with aggregate framework available in MongoDB.
Here is the explanation foe each pipeline in the below query.
1) $Match - Get all data where role is Manager because we are interested in manager role only
2) $project - Just an interim pipeline to project the fields to next pipeline
3) $group - Similar to SQL to group the data by userId and add their verticals to an array
4) $Match - To filter the userids where they are part of BFS
db.vertical.aggregate([
{$match : { "Role": "Manager"}},
{$project : { "userId" : 1, "vertical" : 1, "Role" : 1}},
{$group : { _id : "$userId", "verticalsArray" : {$push : "$vertical"} } },
{$match : { "verticalsArray": "BFS"}},
]);
Output:-
{
"_id" : "12345",
"verticalsArray" : [
"BFS",
"Insurance"
]
}