Mongoose 5.3 , this.getUpdate is not a function

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Removing a field from a Mongoose model doesn't affect the database. I have the same error. Wondering if these are false errors 2016-03-01T00:56:47. The relevant documentation for this: If a document does not have a value for the indexed field in a unique index, the index will store a null value for this document.

The ObjectId values are specific to the machine and time when the operation is run. I have this same issue after inserting 800K records, I am working with MLab mongodb and NodeJS which run as a job. Are you sure you're dropping the right database?

Mongoose 5.3 , this.getUpdate is not a function

Following is my user schema in user. In other words, you already have a user without an email address. The relevant documentation for this: If a document does not have a value for the indexed field in a unique index, the index will store a null value for this document. Because of the unique constraint, MongoDB will only permit one document that lacks the indexed field. If there is more than one document without a value for the indexed field or is missing the indexed field, the index build will fail with a duplicate key error. You can combine the unique constraint with the sparse index to filter these null values from the unique index and avoid the error. Sparse indexes only contain entries for documents that have the indexed field, even if the index field contains a null value. In other words, a sparse index is ok with multiple documents all having null values. From comments: Your error says that the key is named mydb. Removing a field from a Mongoose model doesn't affect the database. Your error says that the key is named mydb. Removing a field from a Mongoose model doesn't affect the database. It Works after doing that, this also happens when there's no unique key to separate two documents from each other. If you're using a shell, then you can drop the db via - db. Then I changed the unique key as 'username', and no longer passed 'name' value when I saved data to database. So the mongodb may automatically set the 'name' value of new record as null which is duplicate key. I tried the set 'name' key as not unique key name: unique: false, type: String in 'User' schema in order to override original setting. However, it did not work. At last, I made my own solution: Just set a random key value that will not likely be duplicate to 'name' key when you save your data record. Simply Math method '' + Math. I have an app. I want people to register with their email,password and phone number. In my MongoDB database , I want to identify people uniquely based on both their phone numbers and email - so this means that both the phone number and the email must be unique for every person. However , there is a problem : I have realized that everyone has a phonenumber but not everyone has an email address. But I want them registered anyway - so I tell them to proceed registering their phonenumbers as they leave the email-input-field empty. My database NEEDS an unique email address field - but I have a lot of people with 'null' as their email address. I am yet to give you the code that made the schema. Here is the code : NOTE : The sparse property in email , is what tells my database to allow null values which will later be filled with unique values. I had a similar problem and I realized that by default mongo only supports one schema per collection. Either store your new schema in a different collection or delete the existing documents with the incompatible schema within the your current collection. Or find a way to have more than one schema per collection. I had the same issue. Tried debugging different ways couldn't figure out. I tried dropping the collection and it worked fine after that. Although this is not a good solution if your collection has many documents. But if you are in the early state of development try dropping the collection. I think the issue is due to the reason that there are some underlying process done when creating a collection like describing the indices which are hidden from the user at least in my case. So the best solution i found was to drop the entire collection and start again. Creating another record with similar values even though they had different id's still gave E11000 duplicate key error. I wanted to allow duplicate values for that property so i simply removed the unique attribute.

A boolean specifying whether the instance should perform an ordered or unordered insert. I tried dropping the collection and it worked fine after that. Should I decrease the size of the batch. Because of the unique constraint, MongoDB will only permit one document that lacks the indexed field. In other words, you already have a user without an email address. But if you are in the early state of development try dropping the collection. Your error says that the key is named mydb. That said, our requests are unique in each is writing a different record to the database each time. All mongo instances are 3. Typical size of each array element is roughly 500B according to.