I need to use upsert because something a record in my Accounts schema (see below) may not exist. The defining factors for its existence are adviserID and period. If a record that matches both of those exists it should just update the record.
However when I run this, I get this error: Sanitized and reported to the client as: Adviser id must be an object [400]. When I console.log(adviser) inside the updateOrder method it does indeed report correctly the adviser ObjectID.
Any help would be appreciated. Thank you.
Upsert method:
Meteor.methods({
updateOrder: function(adviser, order, period) {
Account.upsert(
{
adviserId: adviser,
period: period
}, {
$set: {
adviserId: adviser,
order: order,
outstanding: order,
period: period
}
});
}
});
Schema:
Schema.Account = new SimpleSchema({
"adviserId": {
type: Object,
},
period: {
type: Date,
label: "Order Period"
},
order: {
type: Number,
min: 0,
label: "Order Number"
},
outstanding: {
type: Number,
min: 0,
defaultValue: 0,
label: "Outstanding Number"
}
});
From SimpleSchema Docs:
If you have a key with type Object, the properties of the object will be validated as well, so you must define all allowed properties in the schema.
adviser in your method should be a string because you use it for the find (in upsert). If your adviser is a string, then just fix your schema for {type: String, regEx: SimpleSchema.RegEx.Id}. Or if you want to use an object, then you need describe it or add blackbox option.
More than likely you want adviserId to be a string. MongoDB internal ID objects are strings in Meteor.
This is how we upsert in meteor.
Shares.update({
adviserId: adviser,
period: period
}, {
$set: {
adviserId: adviser,
order: order,
outstanding: order,
period: period
}
}, {
upsert: true
})
Thank you Bryukhanov Valentin. Converting to type String resolved my issues.
Thanks also to those that replied.
Related
I'm kinda new to mongoose, and I'm not sure if it's a right term.
what I'm building is a community site (like redit), and I have a schema like below
const postSchema = new mongoose.Schema({
content: {
type: String,
required: true,
},
title: {
type: String,
required: true,
},
userId: {
type: mongoose.Schema.Types.ObjectId,
required: true,
ref: 'User',
},
board: {
type: String,
required: true,
enum: ['board1','board2'],
},
created_at: {
type: Date,
default: Date.now,
},
updated_at: {
type: Date,
},
})
there are many kinds of 'board'
and I'm not sure if it can be 'indexed'.
purpose of it is for getting posts faster
for example in sql (assume that board column is indexed)
--> select * from post where board = 'board1' ;
I'm confusing about the terms, need some direction..
Short answer:
You need to create an index on the field board by doing:
db.post.createIndex(
{ board: 1 } ,
{ name: "borad index" }
)
Long answer:
Indexing in mongodb uses memory in order to save running time.
Let's take an example: say you have all words in English in your DB. And you are reading a book and from time to time you need to search for a word to check its meaning.
How would you do that? A dictionary. You'll sort the words alphabetically and then you could easily search for every word you wanted.
Indexing apply the same concept. When you create an index on the field board it takes all its values, sort them and save it in a table (and reference for each entry the full document from your collection).
Now when you search for select * from post where board = 'board1' it first use the memorized table of sorted boards, finds the ones that equal to board1 and then by the reference gives you the full documents that belongs to it. You can continue reading here.
Thanks in advance.
I have a mongoose schema as below:
var bookSchema = new mongoose.Schema({
name: { type: String, index: true, default: '' },
text: { type: String, index: true, default: '' },
date: { type: Date, default: Date.now },
price: { type: Number, default: 0 } });
bookSchema.index({text: 1, name: 1}, {unique: true});
My problem is when I search for any text in the field named "text" it doesn't work. Possibly a naming conflict, do I have to change the field name to something other than text...
Book.find( { $text : { $search : 'mongoose is great' } } )...
text is a reserved word in MongoDB. Don't use this word, try with another.
Thanks for your effort in helping.
The issue I had was a small but painful lesson. As it turns out I went into my mLabs console and noticed that the Indexes for the collection totaled more than 16! So deleted all of them and added the one I needed. It turned out great, fixing my problem.
So I am guessing that if you keep adding Indexes without deleting the prior one's you end up getting unpredictable results.
Thanks again to all that answered.
I have a very certain thing i want to accomplish, and I wanted to make sure it is not possible in mongoose/mongoDB before I go and code the whole thing myself.
I checked mongoose-ttl for nodejs and several forums and didn't find quite what I need.
here it is:
I have a schema with a date field createDate. Now i wish to place a TTL on that field, so far so good, i can do it like so (expiration in 5000 seconds):
createDate: {type: Date, default: Date.now, expires: 5000}
but I would like my users to be able to "up vote" documents they like so those documents will get a longer period of time to live, without changing the other documents in my collection.
So, Can i change a TTL of a SINGLE document somehow once a user tells me he likes that document using mongoose or other existing npm related modules?
thank you
It has been more than a year, but this may be useful for others, so here is my answer:
I was trying accomplish this same thing, in order to allow a grace period after an entry deletion, so the user can cancel the operation afterwards.
As stated by Mike Bennett, you can use a TTL index making documents expire at a specific clock time.
Yo have to create an index, setting the expireAfterSeconds to zero:
db.yourCollection.createIndex({ "expireAt": 1 }, { expireAfterSeconds: 0 });
This will not affect any of the documents in your collection, unless you set expireAfterSeconds on a particular document like so:
db.log_events.insert( {
"expireAt": new Date('July 22, 2013 14:00:00'),
"logEvent": 2,
"logMessage": "Success!"
} )
Example in mongoose
Model
var BeerSchema = new Schema({
name: {
type: String,
unique: true,
required: true
},
description: String,
alcohol: Number,
price: Number,
createdAt: { type: Date, default: Date.now }
expireAt: { type: Date, default: undefined } // you don't need to set this default, but I like it there for semantic clearness
});
BeerSchema.index({ "expireAt": 1 }, { expireAfterSeconds: 0 });
Deletion with grace period
Uses moment for date manipulation
exports.deleteBeer = function(id) {
var deferred = q.defer();
Beer.update(id, { expireAt: moment().add(10, 'seconds') }, function(err, data) {
if(err) {
deferred.reject(err);
} else {
deferred.resolve(data);
}
});
return deferred.promise;
};
Revert deletion
Uses moment for date manipulation
exports.undeleteBeer = function(id) {
var deferred = q.defer();
// Set expireAt to undefined
Beer.update(id, { $unset: { expireAt: 1 }}, function(err, data) {
if(err) {
deferred.reject(err);
} else {
deferred.resolve(data);
}
});
return deferred.promise;
};
You could use the expire at clock time feature in mongodb. You will have to update the expire time each time you want to extend the expiration of a document.
http://docs.mongodb.org/manual/tutorial/expire-data/#expire-documents-at-a-certain-clock-time
I am trying to update my collection which has an array field(initially blank) and for this I am trying this code
Industry.update({_id:industryId},
{$push:{categories: id:categoryId,
label:newCategory,
value:newCategory }}}});
No error is shown, but in my collection just empty documents({}) are created.
Note: I have both categoryId and newCategory, so no issues with that.
Thanks in advance.
This is the schema:
Industry = new Meteor.Collection("industry");
Industry.attachSchema(new SimpleSchema({
label:{
type:String
},
value:{
type:String
},
categories:{
type: [Object]
}
}));
I am not sure but maybe the error is occuring because you are not validating 'categories' in your schema. Try adding a 'blackbox:true' to your 'categories' so that it accepts any types of objects.
Industry.attachSchema(new SimpleSchema({
label: {
type: String
},
value: {
type: String
},
categories: {
type: [Object],
blackbox:true // allows all objects
}
}));
Once you've done that try adding values to it like this
var newObject = {
id: categoryId,
label: newCategory,
value: newCategory
}
Industry.update({
_id: industryId
}, {
$push: {
categories: newObject //newObject can be anything
}
});
This would allow you to add any kind of object into the categories field.
But you mentioned in a comment that categories is also another collection.
If you already have a SimpleSchema for categories then you could validate the categories field to only accept objects that match with the SimpleSchema for categories like this
Industry.attachSchema(new SimpleSchema({
label: {
type: String
},
value: {
type: String
},
categories: {
type: [categoriesSchema] // replace categoriesSchema by name of SimpleSchema for categories
}
}));
In this case only objects that match categoriesSchema will be allowed into categories field. Any other type would be filtered out. Also you wouldnt get any error on console for trying to insert other types.(which is what i think is happening when you try to insert now as no validation is specified)
EDIT : EXPLANATION OF ANSWER
In a SimpleSchema when you define an array of objects you have to validate it,ie, you have to tell it what objects it can accept and what it can't.
For example when you define it like
...
categories: {
type: [categoriesSchema] // Correct
}
it means that objects that are similar in structure to those in another SimpleSchema named categoriesSchema only can be inserted into it. According to your example any object you try to insert should be of this format
{
id: categoryId,
label: newCategory,
value: newCategory
}
Any object that isn't of this format will be rejected while insert. Thats why all objects you tried to insert where rejected when you tried initially with your schema structured like this
...
categories: {
type: [Object] // Not correct as there is no SimpleSchema named 'Object' to match with
}
Blackbox:true
Now, lets say you don't what your object to be filtered and want all objects to be inserted without validation.
Thats where setting "blackbox:true" comes in. If you define a field like this
...
categories: {
type: [Object], // Correct
blackbox:true
}
it means that categories can be any object and need not be validated with respect to some other SimpleSchema. So whatever you try to insert gets accepted.
If you run this query in mongo shell, it will produce a log like matched:1, updated:0. Please check what you will get . if matched is 0, it means that your input query is not having any matching documents.
The document I am working on is extremely large. It collects user input from an extremely long survey (like survey monkey) and stores the answers in a mongodb database.
I am unsurprisingly getting the following error
Error: Document exceeds maximal allowed bson size of 16777216 bytes
If I cannot change the fields in my document is there anything I can do? Is there some way to compress down the document, by removing white space or something like that?
Edit
Here is the structure of the document
Schema({
id : { type: Number, required: true },
created: { type: Date, default: Date.now },
last_modified: { type: Date, default: Date.now },
data : { type: Schema.Types.Mixed, required: true }
});
An example of the data field:
{
id: 65,
question: {
test: "some questions",
answers: [2,5,6]
}
// there could be thousands of these question objects
}
One thing you can do is to build your own mongoDB :-). Mongodb is an open source and the limitation about the size of a document is rather arbitrary to enforce a better schema design. You can just modify this line and build it for yourself. Be careful with this.
The most straight forward idea is to have each small question in a different document with a field which reference to its parent.
Another idea is to limit number of documents in the parent. Lets say you limit is N elements then the parent looks like this:
{
_id : ObjectId(),
id : { type: Number, required: true },
created: { type: Date, default: Date.now }, // you can store it only for the first element
last_modified: { type: Date, default: Date.now }, // the same here
data : [{
id: 65,
question: {
test: "some questions",
answers: [2,5,6]
}
}, ... up to N of such things {}
]
}
This way modifying number N you can make sure that you will be in 16 MB of BSON. And in order to read the whole survey you can select
db.coll.find({id: the Id you need}) and then combine the whole survey on the application level. Also do not forget to ensureIndex on id.
Try different things, do a benchmark on your data and see what works for you.
You should be using gridfs. It allows you to store documents in chunks. Here's the link: http://docs.mongodb.org/manual/reference/gridfs/