ravendb
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5.4.2 • Public • Published

Node.js client for RavenDB NoSQL Database

NPM

build status Known Vulnerabilities

Installation

npm install --save ravendb

Releases

  • All client versions 5.4.x are fully compatible with and support RavenDB server releases 5.4 and 6.0.

  • Click here to view all Releases and Changelog.

Documentation

Getting started

  1. Require the DocumentStore class from the ravendb package
const { DocumentStore } = require('ravendb');

or (using ES6 / Typescript imports)

import { DocumentStore } from 'ravendb';
  1. Initialize the document store (you should have a single DocumentStore instance per application)
const store = new DocumentStore('http://live-test.ravendb.net', 'databaseName');
store.initialize();
  1. Open a session
const session = store.openSession();
  1. Call saveChanges() when you're done
session
 .load('users/1-A') // Load document
 .then((user) => {
   user.password = PBKDF2('new password'); // Update data 
 })
 .then(() => session.saveChanges()) // Save changes
 .then(() => {
     // Data is now persisted
     // You can proceed e.g. finish web request
  });

Supported asynchronous call types

Most methods on the session object are asynchronous and return a Promise.
Either use async & await or .then() with callback functions.

  1. async / await
const session = store.openSession();
let user = await session.load('users/1-A');
user.password = PBKDF2('new password');
await session.saveChanges();
  1. .then & callback functions
session.load('Users/1-A')
    .then((user) => {
        user.password = PBKDF2('new password');
    })
    .then(() => session.saveChanges())
    .then(() => {
        // here session is complete
    });
Related tests:

async and await
then and callbacks

CRUD example

Store documents

let product = {
    id: null,
    title: 'iPhone X',
    price: 999.99,
    currency: 'USD',
    storage: 64,
    manufacturer: 'Apple',
    in_stock: true,
    last_update: new Date('2017-10-01T00:00:00')
};

await session.store(product, 'products/1-A');
console.log(product.id); // products/1-A
await session.saveChanges();
Related tests:

store()
ID generation - session.store()
store document with @metadata
storing docs with same ID in same session should throw

Load documents

const product = await session.load('products/1-A');
console.log(product.title); // iPhone X
console.log(product.id);    // products/1-A
Related tests:

load()

Load documents with include

// users/1
// {
//      "name": "John",
//      "kids": ["users/2", "users/3"]
// }

const session = store.openSession();
const user1 = await session
    .include("kids")
    .load("users/1");
    // Document users/1 and all docs referenced in "kids"
    // will be fetched from the server in a single request.

const user2 = await session.load("users/2"); // this won't call server again

assert.ok(user1);
assert.ok(user2);
assert.equal(session.advanced.numberOfRequests, 1);
Related tests:

can load with includes
loading data with include
loading data with passing includes

Update documents

let product = await session.load('products/1-A');
product.in_stock = false;
product.last_update = new Date();
await session.saveChanges();
// ...
product = await session.load('products/1-A');
console.log(product.in_stock);    // false
console.log(product.last_update); // the current date
Related tests:

update document
update document metadata

Delete documents

  1. Using entity
let product = await session.load('products/1-A');
await session.delete(product);
await session.saveChanges();

product = await session.load('products/1-A');
console.log(product); // null
  1. Using document ID
await session.delete('products/1-A');
Related tests:

delete doc by entity
delete doc by ID
onBeforeDelete is called before delete by ID
cannot delete untracked entity
loading deleted doc returns null

Query documents

  1. Use query() session method:

Query by collection:

const query = session.query({ collection: 'products' });

Query by index name:

const query = session.query({ indexName: 'productsByCategory' });

Query by index:

const query = session.query(Product, Product_ByName);

Query by entity type:

import { User } from "./models";
const query = session.query(User);
  1. Build up the query - apply search conditions, set ordering, etc.
    Query supports chaining calls:
query
    .waitForNonStaleResults()
    .usingDefaultOperator('AND')
    .whereEquals('manufacturer', 'Apple')
    .whereEquals('in_stock', true)
    .whereBetween('last_update', new Date('2022-11-01T00:00:00'), new Date())
    .orderBy('price');
  1. Execute the query to get results:
const results = await query.all(); // get all results
// ...
const firstResult = await query.first(); // gets first result
// ...
const single = await query.single();  // gets single result 

Query methods overview

selectFields() - projections using a single field

// RQL
// from users select name

// Query
const userNames = await session.query({ collection: "users" })
    .selectFields("name")
    .all();

// Sample results
// John, Stefanie, Thomas
Related tests:

projections single field
query single property
retrieve camel case with projection
can_project_id_field

selectFields() - projections using multiple fields

// RQL
// from users select name, age

// Query
await session.query({ collection: "users" })
    .selectFields([ "name", "age" ])
    .all();

// Sample results
// [ { name: 'John', age: 30 },
//   { name: 'Stefanie', age: 25 },
//   { name: 'Thomas', age: 25 } ]
Related tests:

projections multiple fields
query with projection
retrieve camel case with projection
can_project_id_field

distinct()

// RQL
// from users select distinct age

// Query
await session.query({ collection: "users" })
    .selectFields("age")
    .distinct()
    .all();

// Sample results
// [ 30, 25 ]
Related tests:

distinct
query distinct

whereEquals() / whereNotEquals()

// RQL
// from users where age = 30 

// Query
await session.query({ collection: "users" })
    .whereEquals("age", 30)
    .all();

// Saple results
// [ User {
//    name: 'John',
//    age: 30,
//    kids: [...],
//    registeredAt: 2017-11-10T23:00:00.000Z } ]
Related tests:

where equals
where not equals

whereIn()

// RQL
// from users where name in ("John", "Thomas")

// Query
await session.query({ collection: "users" })
    .whereIn("name", ["John", "Thomas"])
    .all();

// Sample results
// [ User {
//     name: 'John',
//     age: 30,
//     registeredAt: 2017-11-10T23:00:00.000Z,
//     kids: [...],
//     id: 'users/1-A' },
//   User {
//     name: 'Thomas',
//     age: 25,
//     registeredAt: 2016-04-24T22:00:00.000Z,
//     id: 'users/3-A' } ]
Related tests:

where in
query with where in

whereStartsWith() / whereEndsWith()

// RQL
// from users where startsWith(name, 'J')

// Query
await session.query({ collection: "users" })
    .whereStartsWith("name", "J")
    .all();

// Sample results
// [ User {
//    name: 'John',
//    age: 30,
//    kids: [...],
//    registeredAt: 2017-11-10T23:00:00.000Z } ]
Related tests:

query with where clause

whereBetween()

// RQL
// from users where registeredAt between '2016-01-01' and '2017-01-01'

// Query
await session.query({ collection: "users" })
    .whereBetween("registeredAt", new Date(2016, 0, 1), new Date(2017, 0, 1))
    .all();

// Sample results
// [ User {
//     name: 'Thomas',
//     age: 25,
//     registeredAt: 2016-04-24T22:00:00.000Z,
//     id: 'users/3-A' } ]
Related tests:

where between
query with where between

whereGreaterThan() / whereGreaterThanOrEqual() / whereLessThan() / whereLessThanOrEqual()

// RQL
// from users where age > 29

// Query
await session.query({ collection: "users" })
    .whereGreaterThan("age", 29)
    .all();

// Sample results
// [ User {
//   name: 'John',
//   age: 30,
//   registeredAt: 2017-11-10T23:00:00.000Z,
//   kids: [...],
//   id: 'users/1-A' } ]
Related tests:

where greater than
query with where less than
query with where less than or equal
query with where greater than
query with where greater than or equal

whereExists()

Checks if the field exists.

// RQL
// from users where exists("age")

// Query
await session.query({ collection: "users" })
    .whereExists("kids")
    .all();

// Sample results
// [ User {
//   name: 'John',
//   age: 30,
//   registeredAt: 2017-11-10T23:00:00.000Z,
//   kids: [...],
//   id: 'users/1-A' } ]
Related tests:

where exists
query where exists

containsAny() / containsAll()

// RQL
// from users where kids in ('Mara')

// Query
await session.query({ collection: "users" })
    .containsAll("kids", ["Mara", "Dmitri"])
    .all();

// Sample results
// [ User {
//   name: 'John',
//   age: 30,
//   registeredAt: 2017-11-10T23:00:00.000Z,
//   kids: ["Dmitri", "Mara"]
//   id: 'users/1-A' } ]
Related tests:

where contains any
queries with contains

search()

Perform full-text search.

// RQL
// from users where search(kids, 'Mara')

// Query
await session.query({ collection: "users" })
    .search("kids", "Mara Dmitri")
    .all();

// Sample results
// [ User {
//   name: 'John',
//   age: 30,
//   registeredAt: 2017-11-10T23:00:00.000Z,
//   kids: ["Dmitri", "Mara"]
//   id: 'users/1-A' } ]
Related tests:

search()
query search with or
query_CreateClausesForQueryDynamicallyWithOnBeforeQueryEvent

openSubclause() / closeSubclause()

// RQL
// from users where exists(kids) or (age = 25 and name != Thomas)

// Query
await session.query({ collection: "users" })
    .whereExists("kids")
    .orElse()
    .openSubclause()
        .whereEquals("age", 25)
        .whereNotEquals("name", "Thomas")
    .closeSubclause()
    .all();

// Sample results
// [ User {
//     name: 'John',
//     age: 30,
//     registeredAt: 2017-11-10T23:00:00.000Z,
//     kids: ["Dmitri", "Mara"]
//     id: 'users/1-A' },
//   User {
//     name: 'Stefanie',
//     age: 25,
//     registeredAt: 2015-07-29T22:00:00.000Z,
//     id: 'users/2-A' } ]
Related tests:

subclause
working with subclause

not()

// RQL
// from users where age != 25

// Query
await session.query({ collection: "users" })
    .not()
    .whereEquals("age", 25)
    .all();

// Sample results
// [ User {
//   name: 'John',
//   age: 30,
//   registeredAt: 2017-11-10T23:00:00.000Z,
//   kids: ["Dmitri", "Mara"]
//   id: 'users/1-A' } ]
Related tests:

not()
query where not

orElse() / andAlso()

// RQL
// from users where exists(kids) or age < 30

// Query
await session.query({ collection: "users" })
    .whereExists("kids")
    .orElse()
    .whereLessThan("age", 30)
    .all();

// Sample results
//  [ User {
//     name: 'John',
//     age: 30,
//     registeredAt: 2017-11-10T23:00:00.000Z,
//     kids: [ 'Dmitri', 'Mara' ],
//     id: 'users/1-A' },
//   User {
//     name: 'Thomas',
//     age: 25,
//     registeredAt: 2016-04-24T22:00:00.000Z,
//     id: 'users/3-A' },
//   User {
//     name: 'Stefanie',
//     age: 25,
//     registeredAt: 2015-07-29T22:00:00.000Z,
//     id: 'users/2-A' } ]
Related tests:

orElse
working with subclause

usingDefaultOperator()

If neither andAlso() nor orElse() is called then the default operator between the query filtering conditions will be AND .
You can override that with usingDefaultOperator which must be called before any other where conditions.

// RQL
// from users where exists(kids) or age < 29

// Query
await session.query({ collection: "users" })
    .usingDefaultOperator("OR") // override the default 'AND' operator
    .whereExists("kids")
    .whereLessThan("age", 29)
    .all();

// Sample results
//  [ User {
//     name: 'John',
//     age: 30,
//     registeredAt: 2017-11-10T23:00:00.000Z,
//     kids: [ 'Dmitri', 'Mara' ],
//     id: 'users/1-A' },
//   User {
//     name: 'Thomas',
//     age: 25,
//     registeredAt: 2016-04-24T22:00:00.000Z,
//     id: 'users/3-A' },
//   User {
//     name: 'Stefanie',
//     age: 25,
//     registeredAt: 2015-07-29T22:00:00.000Z,
//     id: 'users/2-A' } ]
Related tests:

set default operator
AND is used when default operator is not set
set default operator to OR

orderBy() / orderByDesc() / orderByScore() / randomOrdering()

// RQL
// from users order by age

// Query
await session.query({ collection: "users" })
    .orderBy("age")
    .all();

// Sample results
// [ User {
//     name: 'Stefanie',
//     age: 25,
//     registeredAt: 2015-07-29T22:00:00.000Z,
//     id: 'users/2-A' },
//   User {
//     name: 'Thomas',
//     age: 25,
//     registeredAt: 2016-04-24T22:00:00.000Z,
//     id: 'users/3-A' },
//   User {
//     name: 'John',
//     age: 30,
//     registeredAt: 2017-11-10T23:00:00.000Z,
//     kids: [ 'Dmitri', 'Mara' ],
//     id: 'users/1-A' } ]
Related tests:

orderBy()
orderByDesc()
query random order
order by AlphaNumeric
query with boost - order by score

take()

Limit the number of query results.

// RQL
// from users order by age

// Query
await session.query({ collection: "users" })
    .orderBy("age") 
    .take(2) // only the first 2 entries will be returned
    .all();

// Sample results
// [ User {
//     name: 'Stefanie',
//     age: 25,
//     registeredAt: 2015-07-29T22:00:00.000Z,
//     id: 'users/2-A' },
//   User {
//     name: 'Thomas',
//     age: 25,
//     registeredAt: 2016-04-24T22:00:00.000Z,
//     id: 'users/3-A' } ]
Related tests:

take()
query skip take
canUseOffsetWithCollectionQuery

skip()

Skip a specified number of results from the start.

// RQL
// from users order by age

// Query
await session.query({ collection: "users" })
    .orderBy("age") 
    .take(1) // return only 1 result
    .skip(1) // skip the first result, return the second result
    .all();

// Sample results
// [ User {
//     name: 'Thomas',
//     age: 25,
//     registeredAt: 2016-04-24T22:00:00.000Z,
//     id: 'users/3-A' } ]
Related tests:

skip()
query skip take
canUseOffsetWithCollectionQuery

Getting query statistics

Use the statistics() method to obtain query statistics.

// Query
let stats: QueryStatistics;
const results = await session.query({ collection: "users" })
    .whereGreaterThan("age", 29)
    .statistics(s => stats = s)
    .all();

// Sample results
// QueryStatistics {
//   isStale: false,
//   durationInMs: 744,
//   totalResults: 1,
//   skippedResults: 0,
//   timestamp: 2018-09-24T05:34:15.260Z,
//   indexName: 'Auto/users/Byage',
//   indexTimestamp: 2018-09-24T05:34:15.260Z,
//   lastQueryTime: 2018-09-24T05:34:15.260Z,
//   resultEtag: 8426908718162809000 }
Related tests:

can get stats

all() / first() / single() / count()

all() - returns all results

first() - first result only

single() - first result, throws error if there's more entries

count() - returns the number of entries in the results (not affected by take())

Related tests:

query first and single
query count

Attachments

Store attachments

const doc = new User({ name: "John" });

// Store a dcoument, the entity will be tracked.
await session.store(doc);

// Get read stream or buffer to store
const fileStream = fs.createReadStream("../photo.png");

// Store attachment using entity
session.advanced.attachments.store(doc, "photo.png", fileStream, "image/png");

// OR store attachment using document ID
session.advanced.attachments.store(doc.id, "photo.png", fileStream, "image/png");

// Persist all changes
await session.saveChanges();
Related tests:

store attachment
can put attachments
checkIfHasChangesIsTrueAfterAddingAttachment
store many attachments and docs with bulk insert

Get attachments

// Get an attachment
const attachment = await session.advanced.attachments.get(documentId, "photo.png")

// Attachment.details contains information about the attachment:
//     { 
//       name: 'photo.png',
//       documentId: 'users/1-A',
//       contentType: 'image/png',
//       hash: 'MvUEcrFHSVDts5ZQv2bQ3r9RwtynqnyJzIbNYzu1ZXk=',
//       changeVector: '"A:3-K5TR36dafUC98AItzIa6ow"',
//       size: 4579 
//     }

// Attachment.data is a Readable. See https://nodejs.org/api/stream.html#class-streamreadable
attachment.data
    .pipe(fs.createWriteStream("photo.png"))
    .on("finish", () => next());
Related tests:

get attachment
can get & delete attachments

Check if attachment exists

await session.advanced.attachments.exists(doc.id, "photo.png");
// true

await session.advanced.attachments.exists(doc.id, "not_there.avi");
// false
Related tests:

attachment exists
attachment exists 2

Get attachment names

// Use a loaded entity to determine attachments' names
await session.advanced.attachments.getNames(doc);

// Sample results:
// [ { name: 'photo.png',
//     hash: 'MvUEcrFHSVDts5ZQv2bQ3r9RwtynqnyJzIbNYzu1ZXk=',
//     contentType: 'image/png',
//     size: 4579 } ]
Related tests:

get attachment names
get attachment names 2

TimeSeries

Store time series

const session = store.openSession();

// Create a document with time series
await session.store({ name: "John" }, "users/1");
const tsf = session.timeSeriesFor("users/1", "heartbeat");

// Append a new time series entry
tsf.append(new Date(), 120);

await session.saveChanges();
Related tests:

can use time series
canCreateSimpleTimeSeries
usingDifferentTags
canStoreAndReadMultipleTimestamps
canStoreLargeNumberOfValues
shouldDeleteTimeSeriesUponDocumentDeletion

Get time series for document

const session = store.openSession();

// Get time series for document by time series name
const tsf = session.timeSeriesFor("users/1", "heartbeat");

// Get all time series entries
const heartbeats = await tsf.get();
Related tests:

canCreateSimpleTimeSeries
canStoreLargeNumberOfValues
canRequestNonExistingTimeSeriesRange
canGetTimeSeriesNames2
canSkipAndTakeTimeSeries

Bulk Insert

// Create a bulk insert instance from the DocumentStore
const bulkInsert = store.bulkInsert();

// Store multiple documents
for (const name of ["Anna", "Maria", "Miguel", "Emanuel", "Dayanara", "Aleida"]) {
    const user = new User({ name });
    await bulkInsert.store(user);
}

// Sample documents stored:
// User { name: 'Anna', id: 'users/1-A' }
// User { name: 'Maria', id: 'users/2-A' }
// User { name: 'Miguel', id: 'users/3-A' }
// User { name: 'Emanuel', id: 'users/4-A' }
// User { name: 'Dayanara', id: 'users/5-A' }
// User { name: 'Aleida', id: 'users/6-A' }

// Persist the data - call finish
await bulkInsert.finish();
Related tests:

bulk insert example
simple bulk insert should work
bulk insert can be aborted
can modify metadata with bulk insert

Changes API

Listen for database changes e.g. document changes.

// Subscribe to change notifications
const changes = store.changes();

// Subscribe for all documents, or for specific collection (or other database items)
const docsChanges = changes.forAllDocuments();

// Handle changes events 
docsChanges.on("data", change => {
    // A sample change data recieved:
    // { type: 'Put',
    //   id: 'users/1-A',
    //   collectionName: 'Users',
    //   changeVector: 'A:2-QCawZTDbuEa4HUBORhsWYA' }
});

docsChanges.on("error", err => {
    // handle errors
})

{
    const session = store.openSession();
    await session.store(new User({ name: "Starlord" }));
    await session.saveChanges();
}

// ...
// Dispose the changes instance when you're done
changes.dispose();
Related tests:

listen to changes
can obtain single document changes
can obtain all documents changes
can obtain notification about documents starting with
can obtain notification about documents in collection

Streaming

Stream documents by ID prefix

// Filter streamed results by passing an ID prefix
// The stream() method returns a Node.js ReadableStream
const userStream = await session.advanced.stream("users/");

// Handle stream events with callback functions
userStream.on("data", user => {
    // Get only documents with ID that starts with 'users/' 
    // i.e.: User { name: 'John', id: 'users/1-A' }
});

userStream.on("error", err => {
    // handle errors
})
Related tests:

can stream users by prefix
can stream documents starting with

Stream documents by query

// Define a query
const query = session.query({ collection: "users" }).whereGreaterThan("age", 29);

let streamQueryStats;
// Call stream() to execute the query, it returns a Node.js ReadableStream.
// Can get query stats by passing a stats callback to stream() method
const queryStream = await session.advanced.stream(query, _ => streamQueryStats = _);

// Handle stream events with callback functions
queryStream.on("data", user => {
    // Only documents matching the query are received
    // These entities are Not tracked by the session
});

// Can get query stats by using an event listener
queryStream.once("stats", queryStats => {
    // Sample stats:
    // { resultEtag: 7464021133404493000,
    //   isStale: false,
    //   indexName: 'Auto/users/Byage',
    //   totalResults: 1,
    //   indexTimestamp: 2018-10-01T09:04:07.145Z }
});

// Stream emits an 'end' event when there is no more data to read
queryStream.on("end", () => {
   // Get info from 'streamQueryStats', the stats object
   const totalResults = streamQueryStats.totalResults;
   const indexUsed = streamQueryStats.indexName;
});

queryStream.on("error", err => {
    // handle errors
});
Related tests:

can stream query and get stats
can stream query results
can stream query results with query statistics
can stream raw query results

Revisions

NOTE: Please make sure revisions are enabled before trying the below.

const session = store.openSession();
const user = {
    name: "Marcin",
    age: 30,
    pet: "Cat"
};

// Store a document
await session.store(user, "users/1");
await session.saveChanges();

// Modify the document to create a new revision
user.name = "Roman";
user.age = 40;
await session.saveChanges();

// Get revisions
const revisions = await session.advanced.revisions.getFor("users/1");

// Sample results:
// [ { name: 'Roman',
//     age: 40,
//     pet: 'Cat',
//     '@metadata': [Object],
//     id: 'users/1' },
//   { name: 'Marcin',
//     age: 30,
//     pet: 'Cat',
//     '@metadata': [Object],
//     id: 'users/1' } ]
Related tests:

can get revisions
canGetRevisionsByDate
can handle revisions
canGetRevisionsByChangeVectors

Suggestions

Suggest options for similar/misspelled terms

// Some documents in users collection with misspelled name term
// [ User {
//     name: 'Johne',
//     age: 30,
//     ...
//     id: 'users/1-A' },
//   User {
//     name: 'Johm',
//     age: 31,
//     ...
//     id: 'users/2-A' },
//   User {
//     name: 'Jon',
//     age: 32,
//     ...
//     id: 'users/3-A' },
// ]

// Static index definition
class UsersIndex extends AbstractJavaScriptIndexCreationTask {
    constructor() {
        super();
        this.map(User, doc => {
            return {
                name: doc.name
            }
        });
        
        // Enable the suggestion feature on index-field 'name'
        this.suggestion("name"); 
    }
}

// ...
const session = store.openSession();

// Query for similar terms to 'John'
// Note: the term 'John' itself will Not be part of the results

const suggestedNameTerms = await session.query(User, UsersIndex)
    .suggestUsing(x => x.byField("name", "John")) 
    .execute();

// Sample results:
// { name: { name: 'name', suggestions: [ 'johne', 'johm', 'jon' ] } }
Related tests:

can suggest
canChainSuggestions
canUseAliasInSuggestions
canUseSuggestionsWithAutoIndex
can suggest using linq
can suggest using multiple words
can get suggestions with options

Advanced patching

// Increment 'age' field by 1
session.advanced.increment("users/1", "age", 1);

// Set 'underAge' field to false
session.advanced.patch("users/1", "underAge", false);

await session.saveChanges();
Related tests:

can use advanced.patch
can patch
can patch complex
can add to array
can increment
patchWillUpdateTrackedDocumentAfterSaveChanges
can patch single document
can patch multiple documents

Subscriptions

// Create a subscription task on the server
// Documents that match the query will be send to the client worker upon opening a connection

const subscriptionName = await store.subscriptions.create({
    query: "from users where age >= 30"
});

// Open a connection
// Create a subscription worker that will consume document batches sent from the server
// Documents are sent from the last document that was processed for this subscription

const subscriptionWorker = store.subscriptions.getSubscriptionWorker({ subscriptionName });

// Worker handles incoming batches
subscriptionWorker.on("batch", (batch, callback) => {
    try {
        // Process the incoming batch items
        // Sample batch.items:
        // [ Item {
        //     changeVector: 'A:2-r6nkF5nZtUKhcPEk6/LL+Q',
        //     id: 'users/1-A',
        //     rawResult:
        //      { name: 'John',
        //        age: 30,
        //        registeredAt: '2017-11-11T00:00:00.0000000',
        //        kids: [Array],
        //        '@metadata': [Object],
        //        id: 'users/1-A' },
        //     rawMetadata:
        //      { '@collection': 'Users',
        //        '@nested-object-types': [Object],
        //        'Raven-Node-Type': 'User',
        //        '@change-vector': 'A:2-r6nkF5nZtUKhcPEk6/LL+Q',
        //        '@id': 'users/1-A',
        //        '@last-modified': '2018-10-18T11:15:51.4882011Z' },
        //     exceptionMessage: undefined } ]
        // ...

        // Call the callback once you're done
        // The worker will send an acknowledgement to the server, so that server can send next batch
        callback();
        
    } catch(err) {
        // If processing fails for a particular batch then pass the error to the callback
        callback(err);
    }
});

subscriptionWorker.on("error", err => {
   // handle errors
});

// Subscription event types: 
'batch', 'error', 'end', 'unexpectedSubscriptionError', 'afterAcknowledgment', 'connectionRetry'
Related tests:

can subscribe
should stream all documents
should send all new and modified docs
should respect max doc count in batch
can disable subscription
can delete subscription

Using object literals for entities

To comfortably use object literals as entities,
configure the collection name that will be used in the store conventions.

This must be done before calling initialize() on the DocumentStore instance,
else, your entities will be created in the @empty collection.

const store = new DocumentStore(urls, database);

// Configure the collection name that will be used
store.conventions.findCollectionNameForObjectLiteral = entity => entity["collection"];
// ...
store.initialize();

// Sample object literal
const user = {
   collection: "Users",
   name: "John"
};

session = store.openSession();
await session.store(user);
await session.saveChanges();

// The document will be stored in the 'Users' collection
Related tests:

using object literals for entities
using object literals
handle custom entity naming conventions + object literals

Using classes for entities

  1. Define your model as class. Attributes should be just public properties:
export class Product {
    constructor(
        id = null,
        title = '',
        price = 0,
        currency = 'USD',
        storage = 0,
        manufacturer = '',
        in_stock = false,
        last_update = null
    ) {
        Object.assign(this, {
            title,
            price,
            currency,
            storage,
            manufacturer,
            in_stock,
            last_update: last_update || new Date()
        });
      }
}
  1. To store a document pass its instance to store().
    The collection name will automatically be detected from the entity's class name.
import { Product } from "./models"; 

let product = new Product(
  null, 'iPhone X', 999.99, 'USD', 64, 'Apple', true, new Date('2017-10-01T00:00:00'));

product = await session.store(product);
console.log(product instanceof Product);       // true
console.log(product.id.includes('products/')); // true
await session.saveChanges();
  1. Loading a document
const product = await session.load('products/1-A');
console.log(product instanceof Product); // true
console.log(product.id);                 // products/1-A
  1. Querying for documents
const products = await session.query({  collection: 'products' }).all();

products.forEach((product) => {
  console.log(product instanceof Product);       // true
  console.log(product.id.includes('products/')); // true
});
Related tests:

using classes

Usage with TypeScript

TypeScript typings are embedded into the package (see types property in package.json).

// file models/product.ts
export class Product {
  constructor(
    public id: string = null,
    public title: string = '',
    public price: number = 0,
    public currency: string = 'USD',
    public storage: number = 0,
    public manufacturer: string = '',
    public in_stock: boolean = false,
    public last_update: Date = null
  ) {}
}

// file app.ts
import {Product} from "models/product";
import {DocumentStore, IDocumentStore, IDocumentSession, IDocumentQuery, DocumentConstructor, QueryOperators} from 'ravendb';

const store: IDocumentStore = new DocumentStore('url', 'database name');
let session: IDocumentSession;

store.initialize();

(async (): Promise<void> => {
  let product = new Product(
    null, 'iPhone X', 999.99, 'USD', 64, 'Apple', true, new Date('2017-10-01T00:00:00')
  );

  await session.store<Product>(product);
  await session.saveChanges();
  console.log(product instanceof Product);       // true
  console.log(product.id.includes('products/')); // true

  product = await session.load<Product>('products/1-A');
  console.log(product instanceof Product); // true
  console.log(product.id);                 // products/1-A

  let products: Product[] = await session
    .query<Product>({ collection: 'Products' })
    .waitForNonStaleResults()
    .whereEquals('manufacturer', 'Apple')
    .whereEquals('in_stock', true)
    .whereBetween('last_update', new Date('2017-10-01T00:00:00'), new Date())
    .whereGreaterThanOrEqual('storage', 64)
    .all();

  products.forEach((product: Product): void => {
    console.log(product instanceof Product);       // true
    console.log(product.id.includes('products/')); // true
  });
})();

Working with a secure server

  1. Fill auth options object.
    Pass the contents of the pem/pfx certificate, specify its type, and (optionally) a passphrase:
const {DocumentStore, Certificate} = require('ravendb');

const certificate = `
-----BEGIN CERTIFICATE-----
...
-----END CERTIFICATE-----
-----BEGIN RSA PRIVATE KEY-----
...
-----END RSA PRIVATE KEY-----
`;

let authOptions = {
  certificate,
  type: "pem",
  password: "my passphrase" // optional  
};

PFX certificates content should be passed as a Buffer object:

const {DocumentStore} = require('ravendb');
const fs = require('fs');

const certificate = './cert.pfx';

let authOptions = {
  certificate: fs.readFileSync(certificate),
  type: "pfx",
  password: 'my passphrase' // optional  
};
  1. Pass auth options as third argument to DocumentStore constructor:
let store = new DocumentStore('url', 'databaseName', authOptions);
store.initialize();

Building

npm install
npm run build

Running tests

# To run the suite, set the following environment variables:
# 
# - Location of RavenDB server binary:
# RAVENDB_TEST_SERVER_PATH="C:\\work\\test\\Server\\Raven.Server.exe" 
#
# - Certificate path for tests requiring a secure server:
# RAVENDB_TEST_SERVER_CERTIFICATE_PATH="C:\\work\\test\\cluster.server.certificate.pfx"
#
# - Certificate hostname: 
# RAVENDB_TEST_SERVER_HOSTNAME="a.nodejstest.development.run"
#
npm test 

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