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https://github.com/ladjs/mongoose-unique-validator

Mongoose plugin which adds pre-save validation for unique fields within a Mongoose schema. This makes error handling much easier, since you will get a Mongoose validation error when you attempt to violate a unique constraint, rather than an E11000 error from MongoDB. Fork of the original unmaintained package.
https://github.com/ladjs/mongoose-unique-validator

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Mongoose plugin which adds pre-save validation for unique fields within a Mongoose schema. This makes error handling much easier, since you will get a Mongoose validation error when you attempt to violate a unique constraint, rather than an E11000 error from MongoDB. Fork of the original unmaintained package.

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# @ladjs/mongoose-unique-validator

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> Mongoose plugin which adds pre-save validation for unique fields within a Mongoose schema. This makes error handling much easier, since you will get a Mongoose validation error when you attempt to violate a [unique constraint](http://mongoosejs.com/docs/api.html#schematype_SchemaType-unique), rather than an E11000 error from MongoDB. Fork of the [original unmaintained package](https://github.com/mongoose-unique-validator/mongoose-unique-validator).

> **NOTE:** As of v5.0.0+ if the only unique index is `_id`, then E11000 will be thrown by default. This prevents an unnecessary call to `countDocuments` and is a major optimization.

## Table of Contents

* [Install](#install)
* [Usage](#usage)
* [Example](#example)
* [Find + Updates](#find--updates)
* [Custom Error Types](#custom-error-types)
* [Custom Error Messages](#custom-error-messages)
* [Case Insensitive](#case-insensitive)
* [Additional Conditions](#additional-conditions)
* [Caveats](#caveats)
* [Contributors](#contributors)
* [License](#license)

## Install

[npm][]:

```sh
npm install @ladjs/mongoose-unique-validator
```

## Usage

```js
const mongoose = require('mongoose');
const uniqueValidator = require('@ladjs/mongoose-unique-validator');

const mySchema = mongoose.Schema({
// TODO: put your schema definition here
});

// NOTE: this should come after any indexes are added to your schema (incl from other plugins)
mySchema.plugin(uniqueValidator);
```

## Example

Let's say you have a user schema. You can easily add validation for the unique constraints in this schema by applying the `uniqueValidator` plugin to your user schema:

```js
const mongoose = require('mongoose');
const uniqueValidator = require('@ladjs/mongoose-unique-validator');

// Define your schema as normal.
const userSchema = mongoose.Schema({
username: { type: String, required: true, unique: true },
email: { type: String, index: true, unique: true, required: true },
password: { type: String, required: true }
});

// Apply the uniqueValidator plugin to userSchema.
userSchema.plugin(uniqueValidator);
```

Now when you try to save a user, the unique validator will check for duplicate database entries and report them just like any other validation error:

```js
const user = new User({ username: 'JohnSmith', email: 'john.smith@gmail.com', password: 'j0hnNYb0i' });
await user.save();
```

```js
{
message: 'Validation failed',
name: 'ValidationError',
errors: {
username: {
message: 'Error, expected `username` to be unique. Value: `JohnSmith`',
name: 'ValidatorError',
kind: 'unique',
path: 'username',
value: 'JohnSmith'
}
}
}
```

## Find + Updates

When using `findOneAndUpdate` and related methods, mongoose doesn't automatically run validation. To trigger this, you need to pass a configuration object. For technical reasons, this plugin requires that you also set the context option to `query`.

```js
{ runValidators: true, context: 'query' }
```

A full example:

```js
await User.findOneAndUpdate(
{ email: 'old-email@example.com' },
{ email: 'new-email@example.com' },
{ runValidators: true, context: 'query' }
);
```

## Custom Error Types

You can pass through a custom error type as part of the optional `options` argument:

```js
userSchema.plugin(uniqueValidator, { type: 'mongoose-unique-validator' });
```

After running the above example the output will be:

```js
{
message: 'Validation failed',
name: 'ValidationError',
errors: {
username: {
message: 'Error, expected `username` to be unique. Value: `JohnSmith`',
name: 'ValidatorError',
kind: 'mongoose-unique-validator',
path: 'username',
value: 'JohnSmith'
}
}
}
```

You can also specify a default custom error type by overriding the plugin `defaults.type` variable:

```js
uniqueValidator.defaults.type = 'mongoose-unique-validator'
```

## Custom Error Messages

You can pass through a custom error message as part of the optional `options` argument:

```js
userSchema.plugin(uniqueValidator, { message: 'Error, expected {PATH} to be unique.' });
```

You have access to all of the standard Mongoose error message templating:

* `{PATH}`
* `{VALUE}`
* `{TYPE}`

You can also specify a default custom error message by overriding the plugin `defaults.message` variable:

```js
uniqueValidator.defaults.message = 'Error, expected {PATH} to be unique.'
```

## Case Insensitive

For case-insensitive matches, include the `uniqueCaseInsensitive` option in your schema. Queries will treat `john.smith@gmail.com` and `John.Smith@gmail.com` as duplicates.

```js
const userSchema = mongoose.Schema({
username: { type: String, required: true, unique: true },
email: { type: String, index: true, unique: true, required: true, uniqueCaseInsensitive: true },
password: { type: String, required: true }
});
```

## Additional Conditions

For additional unique-constraint conditions (ex: only enforce unique constraint on non soft-deleted records), the MongoDB option `partialFilterExpression` can be used.

Note: the option `index` must be passed as an object containing `unique: true`, or else `partialFilterExpression` will be ignored.

```js
const userSchema = mongoose.Schema({
username: { type: String, required: true, unique: true },
email: {
type: String,
required: true,
index: {
unique: true,
partialFilterExpression: { deleted: false }
}
},
password: { type: String, required: true }
});
```

## Caveats

Because we rely on async operations to verify whether a document exists in the database, it's possible for two queries to execute at the same time, both get 0 back, and then both insert into MongoDB.

Outside of automatically locking the collection or forcing a single connection, there's no real solution.

For most of our users this won't be a problem, but is an edge case to be aware of.

## Contributors

| Name |
| --------------- |
| **Mike Botsko** |

## License

[MIT](https://opensource.org/licenses/MIT) © [Blake Haswell](http://blakehaswell.com/)

##

[npm]: https://www.npmjs.com/