I have an array. I want to filter data according to their department.
I have tried the following code
this.arr.filter((item)=> {
return (item.NAME.indexOf(value) > -1);
});
this.arr = [{DEPT : "A"
DETAIL: {NAME:"ABC", CODE:"1"}
}
{DEPT : "B"
DETAIL: {NAME:"TEST",CODE:"2"}
}]
I expect the output
[{DEPT : "A"
DETAIL: {NAME:"ABC", CODE:"1"}
}]
but the actual output is
[{DEPT : "A"
DETAIL: {NAME:"ABC", CODE:"1"}
}
{DEPT : "B"
DETAIL: {NAME:"TEST",CODE:"2"}
}]
This code works as you expect :
arr = [{
DEPT: "A",
DETAIL: { NAME: "ABC", CODE: "1" }
},
{
DEPT: "B",
DETAIL: { NAME: "TEST", CODE: "2" }
}];
This code
console.log(this.arr.filter((item) => item.DETAIL.NAME.indexOf('ABC') > -1 ))
prints :
[{
DEPT: "B",
DETAIL: { NAME: "TEST", CODE: "2" }
}]
Working stackblitz
Related
I have such Article-documents:
{
"_id" : "rNiwdR8tFwbTdr2oX",
"createdAt" : ISODate("2018-08-25T12:23:25.797Z"),
"title" : "Happy",
"lines" : [
{
"id" : "5efa6ad451048a0a1807916c",
"text" : "Test 1",
"align" : "left",
"indent" : 0
},
{
"id" : "ae644f39553d46f85c6e1be9",
"text" : "Test 2"
},
{
"id" : "829f874878dfd0b47e9441c2",
"text" : "Test 3"
},
{
"id" : "d0a46ef175351ae1dec70b9a",
"text" : "Test 4"
},
{
"id" : "9bbc8c8d01bc7029220bed3f",
"text" : "Test 5"
},
{
"id" : "6b5c02996a830f807e4d8e35",
"text" : "Test 6",
"indent" : 0
}
]
}
I need to update some Lines.
For example I have array with ids of the line which must be updated.
let lineIds = [
"5efa6ad451048a0a1807916c",
"829f874878dfd0b47e9441c2",
"6b5c02996a830f807e4d8e35"
];
So I try to update attributes "attr" for the "lines" and I do following:
'articles.updateLines': function (articleId, lineIds, attr, value) {
return Articles.update({
'_id': articleId,
'lines.id': { $in: lineIds }
},
{
$set: {
['lines.$.' + attr]: value
}
},
{ multi: true }
);
}
The problem is that just the first line (with id="5efa6ad451048a0a1807916c") is updated.
Any ideas? Thanks! :)
You can use $[]. This will works only MongoDB version 3.6 and above.
Refer link :
https://docs.mongodb.com/manual/reference/operator/update/positional-all/
You can also see this stackoverflow question reference:
How to add new key value or change the key's value inside a nested array in MongoDB?
You can convert below query in your function
db.col.update(
{ '_id':"rNiwdR8tFwbTdr2oX", },
{ $set: { "lines.$[elem].text" : "hello" } },
{ arrayFilters: [ { "elem.id": { $in: lineIds } } ],
multi: true
})
'lines.id': { $in: lineIds }
This won't work, because lines is an array.
What I understand from your question, you can prepare a new array with proper processing and replace the lines array with the new one. Here is an idea how to do this:
'articles.updateLines': function (articleId, lineIds, attr, value) {
let lines = Articles.findOne(articleId).lines;
// prepare a new array with right elements
let newArray = [];
for(let i=0; i<lines.length; i++){
if(lineIds.includes(lines[i].id)){
newArray.push(value)
}
else newArray.push(lines[i])
}
return Articles.update({
'_id': articleId,
},
{
$set: {
lines: newArray
}
}
);
}
I am new to MongoDB so this is probably a basic question (hopefully). I currently have 10 million records with 410 fields loaded in a mongodb collection like so:
{
"_id" : ObjectId("........"),
"AddressID" : 123455,
"IndividualId" : 1,
"personfirstname" : "FirstName",
"personmiddleinitial" : "M",
"personlastname" : "LastName",
"etc": "....."
}
I need to wrap all of this data into an embedded document like so:
{
"_id" : ObjectId("........"),
"data" : {
"AddressID" : 123455,
"IndividualId" : 1,
"personfirstname" : "FirstName",
"personmiddleinitial" : "M",
"personlastname" : "LastName",
"etc": "....."
}
I don't necessarily need to update this data in-place but that would be nice. If I need to export this data somehow specifying the new format and then re-import the new, updated data that is fine. Performing this via the MongoDB shell would be ideal.
As suggested by chridam within comments you can execute the following aggregation pipeline:
db.collectionName.aggregate([
{ $project: { _id: "$_id", data: "$$ROOT" } },
{ $out: "newCollectionName" }
]);
This way you have the _id field both at root level and in the data object. Thus, you can execute a massive update to unset the second one:
db.newCollectionName.updateMany(
{},
{ $unset: { "data._id": "" } }
);
Finally, you can drop the first collection and rename the second to restore the original name on the updated collection:
db.collectionName.drop();
db.newCollectionName.rename("collectionName");
This approach fully works within the database, avoiding fetching any of your 10 million documents.
You can simply do this in the shell with the following
db.test.find().forEach(function(doc){
doc = { _id: doc._id, data: doc };
delete doc.data._id;
db.test.save(doc);
});
For example, if we insert the following documents:
> db.test.insertMany([
... {
... _id: ObjectId("5a91af8908e17c5997e03b7e"),
... field1: false,
... field2: 0,
... field3: "No"
... },
... {
... _id: ObjectId("5a91afbc08e17c5997e03b7f"),
... field1: true,
... field2: 1,
... field3: "Yes"
... }])
{
"acknowledged" : true,
"insertedIds" : [
ObjectId("5a91af8908e17c5997e03b7e"),
ObjectId("5a91afbc08e17c5997e03b7f")
]
}
Then run:
db.test.find().forEach(function(doc){
doc = { _id: doc._id, data: doc };
delete doc.data._id;
db.test.save(doc);
});
Our documents now look like this:
> db.test.find().pretty()
{
"_id" : ObjectId("5a91af8908e17c5997e03b7e"),
"data" : {
"field1" : false,
"field2" : 0,
"field3" : "No"
}
}
{
"_id" : ObjectId("5a91afbc08e17c5997e03b7f"),
"data" : {
"field1" : true,
"field2" : 1,
"field3" : "Yes"
}
}
I'm trying to select any documents where privacy settings match the provided ones and any documents which do not have any privacy settings (i.e. public).
Current behavior is that if I have a schema with an array of object ids referenced to another collection:
privacy: [{
type: mongoose.Schema.Types.ObjectId,
ref: 'Category',
index: true,
required: true,
default: []
}],
And I want to filter all content for my categories and the public ones, in our case content that does not have a privacy settings. i.e. an empty array []
We currently query that with an or query
{"$or":[
{"privacy": {"$size": 0}},
{"privacy": {"$in":
["5745bdd4b896d4f4367558b4","5745bd9bb896d4f4367558b2"]}
}
]}
I would love to query it by only providing an empty array [] as one the comparison options in the $in statement. Which is possible in mongodb:
db.emptyarray.insert({a:1})
db.emptyarray.insert({a:2, b:null})
db.emptyarray.insert({a:2, b:[]})
db.emptyarray.insert({a:3, b:["perm1"]})
db.emptyarray.insert({a:3, b:["perm1", "perm2"]})
db.emptyarray.insert({a:3, b:["perm1", "perm2", []]})
> db.emptyarray.find({b:[]})
{ "_id" : ObjectId("5a305f3dd89e8a887e629ce0"), "a" : 2, "b" : [ ] }
{ "_id" : ObjectId("5a305f3dd89e8a887e629ce3"), "a" : 3, "b" : [ "perm1", "perm2", [ ] ] }
> db.emptyarray.find({b:{$in:[]}})
> db.emptyarray.find({b:{$in:[[], "perm1"]}})
{ "_id" : ObjectId("5a305f3dd89e8a887e629ce0"), "a" : 2, "b" : [ ] }
{ "_id" : ObjectId("5a305f3dd89e8a887e629ce1"), "a" : 3, "b" : [ "perm1" ] }
{ "_id" : ObjectId("5a305f3dd89e8a887e629ce2"), "a" : 3, "b" : [ "perm1", "perm2" ] }
{ "_id" : ObjectId("5a305f3dd89e8a887e629ce3"), "a" : 3, "b" : [ "perm1", "perm2", [ ] ] }
> db.emptyarray.find({b:{$in:[[], "perm1", null]}})
{ "_id" : ObjectId("5a305f3dd89e8a887e629cde"), "a" : 1 }
{ "_id" : ObjectId("5a305f3dd89e8a887e629cdf"), "a" : 2, "b" : null }
{ "_id" : ObjectId("5a305f3dd89e8a887e629ce0"), "a" : 2, "b" : [ ] }
{ "_id" : ObjectId("5a305f3dd89e8a887e629ce1"), "a" : 3, "b" : [ "perm1" ] }
{ "_id" : ObjectId("5a305f3dd89e8a887e629ce2"), "a" : 3, "b" : [ "perm1", "perm2" ] }
{ "_id" : ObjectId("5a305f3dd89e8a887e629ce3"), "a" : 3, "b" : [ "perm1", "perm2", [ ] ] }
> db.emptyarray.find({b:{$in:[[]]}})
{ "_id" : ObjectId("5a305f3dd89e8a887e629ce0"), "a" : 2, "b" : [ ] }
{ "_id" : ObjectId("5a305f3dd89e8a887e629ce3"), "a" : 3, "b" : [ "perm1", "perm2", [ ] ] }
Maybe like this:
"privacy_locations":{
"$in": ["5745bdd4b896d4f4367558b4","5745bd9bb896d4f4367558b2",[]]
}
But this query, works from the console (CLI), but not in the code where it throws a cast error:
{
"message":"Error in retrieving records from db.",
"error":
{
"message":"Cast to ObjectId failed for value \"[]\" at ...
}
}
Now I perfectly understand the cast is happening because the Schema is defined as an ObjectId.
But I still find that this approach is missing two possible scenarios.
I believe it is possible to query (in MongoDB) null options or empty array within an $in statement.
array: {$in:[null, [], [option-1, option-2]}
Is this correct?
I've been thinking that the best solution to my problem (Cannot select in options or empty) could be to have empty arrays be an array with a fix option of ALL for example. A setting for privacy that means ALL instead of how it is now which is that if not set, that is considered all.
But I don't want a major refactor of the existing code, I just need to see if I can make a better query or more performant query.
Today we have the query working with an $OR statement that has issues with indexes. And even if it is fast, I wanted to bring attention to this issue even if is not considered a bug.
I will appreciate any comments or guidance.
The semi-short answer is that the schema is mixing types for the privacy property (ObjectId and Array) while declaring that it is strictly of type ObjectId in the schema.
Since MongoDB is schema-less it will allow any document shape per document and doesn't need to verify the query document to match a schema. Mongoose on the other hand is meant to apply a schema enforcement and so it will verify a query document against the schema before it attempts to query the DB. The query document for { privacy: { $in: [[]] } } will fail validation since an empty array is not a valid ObjectId as indicated by the error.
The schema would need to declare the type as Mixed (which doesn't support ref) to continue using an empty array as an acceptable type as well as ObjectId.
// Current
const FooSchema = new mongoose.Schema({
privacy: [{
type: mongoose.Schema.Types.ObjectId,
ref: 'Category',
index: true,
required: true,
default: []
}]
});
const Foo = connection.model('Foo', FooSchema);
const foo1 = new Foo();
const foo2 = new Foo({privacy: [mongoose.Types.ObjectId()]});
Promise.all([
foo1.save(),
foo2.save()
]).then((results) => {
console.log('Saved', results);
/*
[
{ __v: 0, _id: 5a36e36a01e1b77cba8bd12f, privacy: [] },
{ __v: 0, _id: 5a36e36a01e1b77cba8bd131, privacy: [ 5a36e36a01e1b77cba8bd130 ] }
]
*/
return Foo.find({privacy: { $in: [[]] }}).exec();
}).then((results) => {
// Never gets here
console.log('Found', results);
}).catch((err) => {
console.log(err);
// { [CastError: Cast to ObjectId failed for value "[]" at path "privacy" for model "Foo"] }
});
And the working version. Also note the adjustment to properly apply the required flag, index flag and default value.
// Updated
const FooSchema = new mongoose.Schema({
privacy: {
type: [{
type: mongoose.Schema.Types.Mixed
}],
index: true,
required: true,
default: [[]]
}
});
const Foo = connection.model('Foo', FooSchema);
const foo1 = new Foo();
const foo2 = new Foo({
privacy: [mongoose.Types.ObjectId()]
});
Promise.all([
foo1.save(),
foo2.save()
]).then((results) => {
console.log(results);
/*
[
{ __v: 0, _id: 5a36f01733704f7e58c0bf9a, privacy: [ [] ] },
{ __v: 0, _id: 5a36f01733704f7e58c0bf9c, privacy: [ 5a36f01733704f7e58c0bf9b ] }
]
*/
return Foo.find().where({
privacy: { $in: [[]] }
}).exec();
}).then((results) => {
console.log(results);
// [ { _id: 5a36f01733704f7e58c0bf9a, __v: 0, privacy: [ [] ] } ]
});
I am trying to find in a collection all of the documents that have the given key equal to one of the strings in an array.
Heres an example of the collection.
{
roomId = 'room1',
name = 'first'
},
{
roomId = 'room2',
name = 'second'
},
{
roomId = 'room3',
name = 'third'
}
And heres an example of the array to look through.
[ 'room2', 'room3' ]
What i thought would work is...
collection.find({ roomId : { $in : [ 'room2', 'room3' ]}}, function( e, r )
{
// r should return the second and third room
});
How can i achieve this?
One way this could be solve would be to do a for loop...
var roomIds = [ 'room2', 'room3' ];
for ( var i=0; i < roomIds.length; i++ )
{
collection.find({ id : roomIds[ i ]})
}
But this is not ideal....
What you posted should work - no looping required. The $in operator does the job:
> db.Room.insert({ "_id" : 1, name: 'first'});
> db.Room.insert({ "_id" : 2, name: 'second'});
> db.Room.insert({ "_id" : 3, name: 'third'});
> // test w/ int
> db.Room.find({ "_id" : { $in : [1, 2] }});
{ "_id" : 1, "name" : "first" }
{ "_id" : 2, "name" : "second" }
> // test w/ strings
> db.Room.find({ "name" : { $in : ['first', 'third'] }});
{ "_id" : 1, "name" : "first" }
{ "_id" : 3, "name" : "third" }
Isn't that what you expect?
Tested w/ MongoDB 2.1.1
My table has an array indexed by a string, and i want all the records matching this string, no matter what the value is. For example get all the record wher id1 is fill :
var a = {
type: "Information",
ids: {
'id1' : '123'
'id2' : '456'
}
};
var b = {
type: "Information",
ids: {
'id1' : '789'
}
};
Is it possible to do that with mongodb and how?
You can use $exists for this:
> db.things.insert({'type': 'Information', 'ids':{'id1': 123, 'id2': 456}})
> db.things.insert({'type': 'Information', 'ids':{'id1': 746, 'id2': 456}})
> db.things.insert({'type': 'Information', 'ids':{'id2': 456, 'id3': 936}})
> db.things.find({'ids.id1': {'$exists': true}})
{ "_id" : ObjectId("4dd3c706938307861ed610dd"), "type" : "Information", "ids" : { "id1" : 123, "id2" : 456 } }
{ "_id" : ObjectId("4dd3c7a1938307861ed610de"), "type" : "Information", "ids" : { "id1" : 746, "id2" : 456 } }
Thanks to scoates in #mondodb channel, it's possible to do that with exists function : http://www.mongodb.org/display/DOCS/Advanced+Queries#AdvancedQueries-%24exists
db.Information.find({"ids.id1":{$exists:true}});