How to close a active MongoDB connection with mongoose after job is done? - mongodb

Question

As you can see, I am connecting to the database, reading multiple JSON files from a directory and import them into the MongoDB server with help of mongoose.
After this job is done, I would like to close the connection and print out "job is done"
How do I do that?
var mongoose = require('mongoose'),
_ = require('lodash'),
fs = require('fs'),
path = require('path');
mongoose.Promise = require('bluebird'),
mongoose.connect('mongodb://localhost/eclass');
var db = mongoose.connection;
db.on('error', console.error.bind(console, 'connection error:'));
db.once('open', function() {
// we're connected!
// create db schema
var EclassSchema = new mongoose.Schema({
xsi: {
xsitype: 'string',
id: 'string'
},
date_of_original_definition: 'string',
date_of_current_version: 'string',
date_of_current_revision: 'string',
revision: 'string',
status: 'string',
source_language: {
country_code: 'string',
language_code: 'string'
},
preferred_name: 'string',
definition: 'string',
its_superclass: 'string',
hierarchical_position: 'string',
//keywords: 'string'
});
// Create model
var Eclass = mongoose.model('Eclass', EclassSchema);
const pjsons = path.join(__dirname, '/../', 'file-operations', 'json-files');
console.log(pjsons);
function readFiles(pjsons, onError) {
fs.readdir(pjsons, function(err, filenames) {
if(err) {
onError(err);
return;
}
filenames.forEach(function(filename) {
fs.readFile(pjsons + '/' + filename, 'utf-8', function(err, data) {
if(err) {
onError(err);
return;
}
data = JSON.parse(data);
// Digging down into the json code
const ontomlOntoml = data['dic:eclass_dictionary']['ontoml:ontoml'];
const onto = _.first(ontomlOntoml);
const dictionary = onto['dictionary'];
const contClasses = _.first(dictionary);
const containedClasses = contClasses['contained_classes'];
const ontClass = _.first(containedClasses);
const ontomlClass = _.find(ontClass);
//Arrays
const xsiArray = _.map(ontomlClass, '$');
const date_of_original_definitionArray = _.map(ontomlClass, 'date_of_original_definition');
const date_of_current_versionArray = _.map(ontomlClass, 'date_of_current_version');
const date_of_current_revisionArray = _.map(ontomlClass, 'date_of_current_revision');
const revisionArray = _.map(ontomlClass, 'revision');
const statusArray = _.map(ontomlClass, 'status');
const sourceLanguageArray = _.map(ontomlClass, 'source_language');
const preferredNameArray = _.map(ontomlClass, 'preferred_name');
const definitionArray = _.map(ontomlClass, 'definition');
const itsSuperclassArray = _.map(ontomlClass, 'its_superclass');
const hierarchical_positionArray = _.map(ontomlClass, 'hierarchical_position');
//const keywordsArray = _.map(ontomlClass, 'keywords');
// Looping and storing the data into mongodb
//for (var i = 0; i < hierarchical_positionArray.length; i++) {
for (var i = 0; i < 2; i++) {
//console.log(hierarchical_positionArray[i]);
var newEclass = new Eclass();
newEclass.xsi.xsitype = xsiArray[i]['xsi:type'];
newEclass.xsi.id = xsiArray[i]['id'];
newEclass.date_of_original_definition = date_of_original_definitionArray[i];
newEclass.date_of_current_version = date_of_current_versionArray[i];
newEclass.date_of_current_revision = date_of_current_revisionArray[i];
newEclass.revision = revisionArray[i];
newEclass.status = statusArray[i];
newEclass.source_language.country_code = sourceLanguageArray[i][0].$.country_code;
newEclass.source_language.language_code = sourceLanguageArray[i][0].$.language_code;
newEclass.preferred_name = preferredNameArray[i][0].label[0]._;
newEclass.definition = definitionArray[i][0].text[0]._;
newEclass.its_superclass = itsSuperclassArray[i][0].$.class_ref;
newEclass.hierarchical_position = hierarchical_positionArray[i];
//newEclass.keywords = keywordsArray[i][0].label[0]._;
newEclass.save(function (err) {});
}
});
});
});
}
readFiles(pjsons);
});

Answer 1

mongoose.disconnect() closes all opened connections. for more
http://mongoosejs.com/docs/api.html#index_Mongoose-disconnect

Answer 2

I solved it like this:
newEclass.save()
.then(function() {
mongoose.disconnect();
})
.catch(function(err) {
console.log('There was an error', err);
});
...
const mongoose = require('mongoose'),
parse = require('csv-parse'),
path = require('path'),
fs = require('fs');
mongoose.Promise = require('bluebird');
mongoose.connect('mongodb://localhost/eclassCSV');
const db = mongoose.connection;
db.on('error', console.error.bind(console, 'connection error:'));
db.once('open', function() {
// we're connected!
// create db schema
const EclassSchema = new mongoose.Schema({
codedName: { type: String, min: 10, max: 10 },
preferredName: { type: String, max: 80 },
definition: { type: String, max: 1023 },
level: { type: String, min: 1, max: 1 },
mkSubclass: { type: String, min: 1, max: 1 },
mkKeyword: { type: String, min: 1, max: 1 }
});
// Create MongoDB model with mongoose
const Eclass = mongoose.model('Eclass', EclassSchema);
const p = path.join(__dirname, '/../', 'file-operations', 'csv-files');
//console.log(p);
const parser = parse({delimiter: ';'}, function(err, data){
//console.log(data);
//const supplier = data[0][0];
const codedName = data.map((item,i) => data[i][6]);
const preferredName = data.map((item,i) => data[i][7]);
const definition = data.map((item,i) => data[i][8]);
const level = data.map((item,i) => data[i][13]);
const mkSubclass = data.map((item,i) => data[i][14]);
const mkKeyword = data.map((item,i) => data[i][15]);
// Looping and storing the data into mongodb
//console.log(ontomlClass.length);
for (let i = 0; i < data.length; i++) {
//console.log(hierarchical_positionArray[i]);
const newEclass = new Eclass();
newEclass.codedName = codedName[i];
newEclass.preferredName = preferredName[i];
newEclass.definition = definition[i];
newEclass.level = level[i];
newEclass.mkSubclass = mkSubclass[i];
newEclass.mkKeyword = mkKeyword[i];
newEclass.save()
.then(function() {
mongoose.disconnect();
})
.catch(function(err) {
console.log('There was an error', err);
});
}
});
fs.createReadStream(p + '/One-eClass-10_0_CC_en.csv').pipe(parser);
});