Reach max connections for no reason












0















I have a problem with my MongoDB Atlas. I am running Atlas version 3.4 instance version M20. The environment I'm working in is AWS Lambda architecture with several services querying on the DB.



For some reason, the DB reaches its max connections (700 connections) in a few minutes and the DB crashes.



I have tried some solutions I found online - using context.callbackWaitsForEmptyEventLoop = false;
and setting the db as a singleton using dbpools but still can't keep the connections low.



Currently I'm using this set of options to run the DB:



const mongo = require('mongodb').MongoClient; const log = require('./logger');

let cachedDbs = {};

module.exports.get = async uri => { let cachedDb = cachedDbs[uri];

if (cachedDb && cachedDb.serverConfig.isConnected()) {
return cachedDb; }

log.info('Getting db connection to', uri);

const client = await mongo.connect(uri, {
useNewUrlParser: true,
appname: process.env.SERVICE_NAME,
reconnectTries: 5,
poolSize: 5,
maxIdleTimeMS: 1000,
socketTimeoutMS: 1000,
waitQueueTimeoutMS: 1000 }); cachedDb = await client.db(); cachedDbs[uri] = cachedDb;

return cachedDb; };


Anyone had these troubles before?










share|improve this question













migrated from superuser.com Feb 13 at 12:52


This question came from our site for computer enthusiasts and power users.























    0















    I have a problem with my MongoDB Atlas. I am running Atlas version 3.4 instance version M20. The environment I'm working in is AWS Lambda architecture with several services querying on the DB.



    For some reason, the DB reaches its max connections (700 connections) in a few minutes and the DB crashes.



    I have tried some solutions I found online - using context.callbackWaitsForEmptyEventLoop = false;
    and setting the db as a singleton using dbpools but still can't keep the connections low.



    Currently I'm using this set of options to run the DB:



    const mongo = require('mongodb').MongoClient; const log = require('./logger');

    let cachedDbs = {};

    module.exports.get = async uri => { let cachedDb = cachedDbs[uri];

    if (cachedDb && cachedDb.serverConfig.isConnected()) {
    return cachedDb; }

    log.info('Getting db connection to', uri);

    const client = await mongo.connect(uri, {
    useNewUrlParser: true,
    appname: process.env.SERVICE_NAME,
    reconnectTries: 5,
    poolSize: 5,
    maxIdleTimeMS: 1000,
    socketTimeoutMS: 1000,
    waitQueueTimeoutMS: 1000 }); cachedDb = await client.db(); cachedDbs[uri] = cachedDb;

    return cachedDb; };


    Anyone had these troubles before?










    share|improve this question













    migrated from superuser.com Feb 13 at 12:52


    This question came from our site for computer enthusiasts and power users.





















      0












      0








      0








      I have a problem with my MongoDB Atlas. I am running Atlas version 3.4 instance version M20. The environment I'm working in is AWS Lambda architecture with several services querying on the DB.



      For some reason, the DB reaches its max connections (700 connections) in a few minutes and the DB crashes.



      I have tried some solutions I found online - using context.callbackWaitsForEmptyEventLoop = false;
      and setting the db as a singleton using dbpools but still can't keep the connections low.



      Currently I'm using this set of options to run the DB:



      const mongo = require('mongodb').MongoClient; const log = require('./logger');

      let cachedDbs = {};

      module.exports.get = async uri => { let cachedDb = cachedDbs[uri];

      if (cachedDb && cachedDb.serverConfig.isConnected()) {
      return cachedDb; }

      log.info('Getting db connection to', uri);

      const client = await mongo.connect(uri, {
      useNewUrlParser: true,
      appname: process.env.SERVICE_NAME,
      reconnectTries: 5,
      poolSize: 5,
      maxIdleTimeMS: 1000,
      socketTimeoutMS: 1000,
      waitQueueTimeoutMS: 1000 }); cachedDb = await client.db(); cachedDbs[uri] = cachedDb;

      return cachedDb; };


      Anyone had these troubles before?










      share|improve this question














      I have a problem with my MongoDB Atlas. I am running Atlas version 3.4 instance version M20. The environment I'm working in is AWS Lambda architecture with several services querying on the DB.



      For some reason, the DB reaches its max connections (700 connections) in a few minutes and the DB crashes.



      I have tried some solutions I found online - using context.callbackWaitsForEmptyEventLoop = false;
      and setting the db as a singleton using dbpools but still can't keep the connections low.



      Currently I'm using this set of options to run the DB:



      const mongo = require('mongodb').MongoClient; const log = require('./logger');

      let cachedDbs = {};

      module.exports.get = async uri => { let cachedDb = cachedDbs[uri];

      if (cachedDb && cachedDb.serverConfig.isConnected()) {
      return cachedDb; }

      log.info('Getting db connection to', uri);

      const client = await mongo.connect(uri, {
      useNewUrlParser: true,
      appname: process.env.SERVICE_NAME,
      reconnectTries: 5,
      poolSize: 5,
      maxIdleTimeMS: 1000,
      socketTimeoutMS: 1000,
      waitQueueTimeoutMS: 1000 }); cachedDb = await client.db(); cachedDbs[uri] = cachedDb;

      return cachedDb; };


      Anyone had these troubles before?







      mongodb






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked Feb 13 at 12:04







      Sahar Cohen











      migrated from superuser.com Feb 13 at 12:52


      This question came from our site for computer enthusiasts and power users.









      migrated from superuser.com Feb 13 at 12:52


      This question came from our site for computer enthusiasts and power users.


























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