Node-viewmodel is a node.js module for multiple databases. It can be very useful if you work with (d)ddd, cqrs, eventdenormalizer, host, etc.
$ npm install viewmodel
var viewmodel = require('viewmodel');
viewmodel.read(function(err, repository) {
if(err) {
console.log('ohhh :-(');
return;
}
});
Make shure you have installed the required driver, in this example run: 'npm install mongodb'.
var viewmodel = require('viewmodel');
viewmodel.write(
{
type: 'mongodb',
host: 'localhost', // optional
port: 27017, // optional
dbName: 'viewmodel', // optional
timeout: 10000 // optional
// authSource: 'authedicationDatabase', // optional
// username: 'technicalDbUser', // optional
// password: 'secret' // optional
// url: 'mongodb://user:pass@host:port/db?opts // optional
},
function(err, repository) {
if(err) {
console.log('ohhh :-(');
return;
}
}
);
var repository = viewmodel.write({ type: 'mongodb' });
repository.on('connect', function() {
console.log('hello from event');
});
repository.on('disconnect', function() {
console.log('bye');
});
repository.connect();
var dummyRepo = repository.extend({
collectionName: 'dummy'
});
dummyRepo.get(function(err, vm) {
if(err) {
console.log('ohhh :-(');
return;
}
vm.set('myProp', 'myValue');
vm.set('myProp.deep', 'myValueDeep');
console.log(vm.toJSON());
console.log(vm.has('myProp.deep'));
dummyRepo.commit(vm, function(err) {
});
// or you can call commit directly on vm...
vm.commit(function(err) {
});
});
// the query object ist like in mongoDb...
dummyRepo.find({ color: 'green' }, function(err, vms) {
// or
//dummyRepo.find({ 'deep.prop': 'dark' }, function(err, vms) {
// or
//dummyRepo.find({ age: { $gte: 10, $lte: 20 } }, function(err, vms) {
// or
//dummyRepo.find({ $or: [{age: 18}, {special: true}] }, function(err, vms) {
// or
//dummyRepo.find({ age: { $in: [1, 2, 3, 6] } }, function(err, vms) {
if(err) {
console.log('ohhh :-(');
return;
}
// vms is an array of all what is in the repository
var firstItem = vms[0];
console.log('the id: ' + firstItem.id);
console.log('the saved value: ' + firstItem.get('color'));
});
// the query object ist like in mongoDb...
dummyRepo.find({ color: 'green' }, { limit: 2, skip: 1, sort: { age: 1 } }, function(err, vms) {
// or
//dummyRepo.find({ color: 'green' }, { limit: 2, skip: 1, sort: [['age', 'desc']] }, function(err, vms) {
if(err) {
console.log('ohhh :-(');
return;
}
// vms is an array of all what is in the repository
var firstItem = vms[0];
console.log('the id: ' + firstItem.id);
console.log('the saved value: ' + firstItem.get('color'));
});
// the query object ist like in mongoDb...
dummyRepo.findOne({ color: 'green' }, function(err, vm) {
if(err) {
console.log('ohhh :-(');
return;
}
console.log('the id: ' + vm.id);
if (vm.has('color')) {
console.log('the saved value: ' + vm.get('color'));
}
});
// the query object ist like in mongoDb...
dummyRepo.get('myId', function(err, vm) {
if(err) {
console.log('ohhh :-(');
return;
}
console.log('the id: ' + vm.id);
console.log('the saved value: ' + vm.get('color'));
});
dummyRepo.get('myId', function(err, vm) {
if(err) {
console.log('ohhh :-(');
return;
}
vm.destroy();
dummyRepo.commit(vm, function(err) {
});
// or you can call commit directly on vm...
vm.commit(function(err) {
});
});
myQueue.getNewId(function(err, newId) {
if(err) {
console.log('ohhh :-(');
return;
}
console.log('the new id is: ' + newId);
});
dummyRepo.clear(function(err) {
if(err) {
console.log('ohhh :-(');
return;
}
});
dummyRepo.bulkCommit([vm1, vm2, vm3], function(err) {
if(err) {
console.log('ohhh :-(');
return;
}
});
currently supported by:
- inmemory
- mongodb
- elasticsearch6
For mongodb you can define indexes for performance boosts in find function.
var dummyRepo = repository.extend({
collectionName: 'dummy',
// like that
indexes: [
'profileId',
// or:
{ profileId: 1 },
// or:
{ index: {profileId: 1}, options: {} }
]
// or like that
repositorySettings : {
mongodb: {
indexes: [ // same as above
'profileId',
// or:
{ profileId: 1 },
// or:
{ index: {profileId: 1}, options: {} }
]
}
}
});
The find function does ignore the query argument and always fetches all items in the collection.
Use the 'elasticsearch6' type for Elasticsearch versions 5.X and 6.X.
The find queries are not mongoDb compatible as the rest of the implementations due to the uneeded overhead and complexity of converting between both formats.
For find queries with elasticsearch6 use elasticsearch native elastic Query DSL;
repository.find( onlyTheQueryClause, otherBodyOptions, callback);
repository.find(
{
range : {
age : {
gte : 10,
lte : 20
}
}
),
{
from: 0,
size: 10,
sort: { age: 'asc' }
},
function(error, results) {
});Additionaly for elasticsearch6 the number of shards, number of replicas, the refresh behaivour on index and the mappings on index create can be addtionaly defined to optimize performace.
var dummyRepo = repository.extend({
collectionName: 'dummy',
repositorySettings: {
elasticsearch6: {
refresh: 'wait_for', // optional, refresh behaviour on index, default is true ( ie. force index refresh ) https://www.elastic.co/guide/en/elasticsearch/reference/current/docs-refresh.html
waitForActiveShards: 2 // optional, defaults to 1 ( ie. wait only for primary ) https://www.elastic.co/guide/en/elasticsearch/reference/current/indices-create-index.html#create-index-wait-for-active-shards
index: { // optional applied on index create, https://www.elastic.co/guide/en/elasticsearch/reference/6.x/indices-create-index.html
settings : { // will be merged with the default ones,
number_of_shards: 3, // optional defaults to 1,
number_of_replicas: 1 // optional defaults to 0,
},
mappings : { // optiona will be merged with the default ones,
properties: { // specific properties to not be handled by dynamic mapper
title: {
type: "text"
}
}
}
}
}
}
});yarn add @google-cloud/firestore or npm install --save @google-cloud/firestore
Use the firestore type to support Google's Firestore database, and store your KeyFile in a location accessible by your application.
const options = {
repository: {
type: 'firestore',
projectId: 'YOUR_PROJECT_ID',
keyFilename: '/path/to/keyfile.json'
},
};Simple (equality comparison) find queries are supported by passing javascript objects as the query parameter, or more complex queries can be executed via nested arrays. In the case of multiple key/value pairs or nested arrays, the composite predicates form logical ANDs.
// Simple Object format
aRepo.find({'aProp': 'aValue', 'secondProp': 'secondValue'}, function (err, vm) {
if (err) {
console.log('Repo find error', err);
return;
}
console.log('Found', vm);
});
// Nested array syntax, allows for more complex predicates
aRepo.find([['aProp', '==', 'aValue'], ['secondProp', '<', 10000]], function (err, vm) {
if (err) {
console.log('Repo find error', err);
return;
}
console.log('Found', vm);
});The queryOptions parameter supports limit, skip, and sort, in a mongoDb-like syntax.
To provide the authentication file to tests, the GOOGLE_APPLICATION_CREDENTIALS environment setting should point to the file so it can be loaded by firestore. To inject the file in TravisCI, create a new environment variable called BASE64_GOOGLE_KEY in the Travis GUI, and set the value of this to be the Base64 encoded content of the file. The .travis.yml file contains configuration to decode this setting and write it out to a known location for the CI settings to pickup.
Currently these databases are supported:
- inmemory
- mongodb ([node-mongodb-native] (https://github.com/mongodb/node-mongodb-native))
- couchdb ([cradle] (https://github.com/cloudhead/cradle))
- tingodb ([tingodb] (https://github.com/sergeyksv/tingodb))
- redis ([redis] (https://github.com/mranney/node_redis))
- azuretable (azure-storage)
- documentdb (documentdb, doqmentdb)
- elasticsearch ([elasticsearch] (https://github.com/elastic/elasticsearch-js))
- elasticsearch6 ([elasticsearch] (https://github.com/elastic/elasticsearch-js)) - for Elasticsearch 5.x and 6.x
- dynamodb ([aws-sdk] (https://github.com/aws/aws-sdk-js))
- firestore ([@google-cloud/firestore] (https://github.com/googleapis/nodejs-firestore))
You can use your own db implementation by extending this...
var Repository = require('viewmodel').Repository,
util = require('util'),
_ = require('lodash');
function MyDB(options) {
Repository.call(this, options);
}
util.inherits(MyDB, Repository);
_.extend(MyDB.prototype, {
...
});
module.exports = MyDB;
Copyright (c) 2018 Adriano Raiano
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