I want to get the logs of each AQL query or operation running with the arangojs SDK for ArangoDB.
I know ArangoDB maintains the logs in GUI but I just want the main DB operation logs which my code performs and attach them with any custom logger or simply with console.log
Here are the things I want to log:
Full Query
Variables used in the query
Total time it took for the query to run
Error, if occurred
Is there any middleware or callback method available to inject it with arangojs methods?
PS: I'm using arangoJS with NodeJS and GraphQL.
SImilar to protractor, I'm looking for some info on getting performance logs in leadfoot of internjs.
Below is only an example of getting logs in protractor
browser.manage().logs().get('performance').then(function (browserLog) {
if (browserLog.length > 0)
JSON.parse(JSON.stringiy(browserLog)).forEach(function (browserLog) {
console.log('log: ' + browserLog.message);
});
Yes, if performance logs are available, you can use Leadfoot's getLogsFor() function. Depends on the environment as far as what types of logs are available. You can use getAvailableLogTypes() to find that out for your use case.
According to the documentation:
getLogsFor(type: string): Promise.<Array.<LogEntry>>
Gets all logs from the remote environment of the given type. The logs
in the remote environment are cleared once they have been retrieved.
I want to print all the queries executed on MongoDB from my loopback 3 application when in debug mode. I tried setting "DEBUG" : "loopback:connector:mongodb"
I am using Loopback 2 and I also had to check the MongoDB queries for my APIs. I just used DEBUG=loopback:connector:mongodb node . command to start my loopback server with debugging enabled.
There is one more alternative way to do this. You can add a key debug and set it true in your datasource config file datasource.json files.
If the above two methods don't work for you, Please check the values of debug property in MongoDB function in node_modules/loopback-connector-mongodb/lib/mongodb.js file.
Resources
https://loopback.io/doc/en/lb2/Setting-debug-strings.html
In our project we often have a problem when mongo doesn't save its state into disk, and after rebooting the application we lose data. I could not determine when and why this happens - somehow and somewhen :). Does anybody know how to synchronize mongodb storage to disk with some api? We use mongorito ODM. PLeasure to hear any variants.
Some details.
Mongo version 3.2.
Application - it is an electron application. Under the hood it uses mongo as storage - we use mongo on client side and install it as a windows service advantagely. Application starts, makes different transactions, read/write data from/to mondo db - nothing strange. When we close this application and reopen next time - we cannot find last rows (documents) in some collections that were succesfully (according to mongo answers) saved. We have no errors.
Can anyone explain what the write concern is and how to setup it not to wait 60 seconds before flushing the data - may be this is the reason?
Some code of db connect/disconnect. app means an electron application:
const {Database} = require('mongorito');
const db = new Database(__DBPATH__);
db.connect();
db.register(__MONGORITO_MODEL__);
app.on('window-all-closed', () => {
db.disconnect();
});
I'd take a look at the write concern setting within your application and make sure it's set to the requirements of your business - https://docs.mongodb.com/manual/reference/write-concern/
Also, make sure you're running a replica set in your production environment š
Thanks to everyboy, I've solved the problem. The reason was the journaling. I turn on the journaling for mongodb service and the problem has gone.
mongod.exe --journal
I believe this is more of a MongoDB question than a Meteor question, so don't get scared if you know a lot about mongo but nothing about meteor.
Running Meteor in development mode, but connecting it to an external Mongo instance instead of using Meteor's bundled one, results in the same problem. This leads me to believe this is a Mongo problem, not a Meteor problem.
The actual problem
I have a meteor project which continuosly gets data added to the database, and displays them live in the application. It works perfectly in development mode, but has strange behaviour when built and deployed to production. It works as follows:
A tiny script running separately collects broadcast UDP packages and shoves them into a mongo collection
The Meteor application then publishes a subset of this collection so the client can use it
The client subscribes and live-updates its view
The problem here is that the subscription appears to only get data about every 10 seconds, while these UDP packages arrive and gets shoved into the database several times per second. This makes the application behave weird
It is most noticeable on the collection of UDP messages, but not limited to it. It happens with every collection which is subscribed to, even those not populated by the external script
Querying the database directly, either through the mongo shell or through the application, shows that the documents are indeed added and updated as they are supposed to. The publication just fails to notice and appears to default to querying on a 10 second interval
Meteor uses oplog tailing on the MongoDB to find out when documents are added/updated/removed and update the publications based on this
Anyone with a bit more Mongo experience than me who might have a clue about what the problem is?
For reference, this is the dead simple publication function
/**
* Publishes a custom part of the collection. See {#link https://docs.meteor.com/api/collections.html#Mongo-Collection-find} for args
*
* #returns {Mongo.Cursor} A cursor to the collection
*
* #private
*/
function custom(selector = {}, options = {}) {
return udps.find(selector, options);
}
and the code subscribing to it:
Tracker.autorun(() => {
// Params for the subscription
const selector = {
"receivedOn.port": port
};
const options = {
limit,
sort: {"receivedOn.date": -1},
fields: {
"receivedOn.port": 1,
"receivedOn.date": 1
}
};
// Make the subscription
const subscription = Meteor.subscribe("udps", selector, options);
// Get the messages
const messages = udps.find(selector, options).fetch();
doStuffWith(messages); // Not actual code. Just for demonstration
});
Versions:
Development:
node 8.9.3
mongo 3.2.15
Production:
node 8.6.0
mongo 3.4.10
Meteor use two modes of operation to provide real time on top of mongodb that doesnāt have any built-in real time features. poll-and-diff and oplog-tailing
1 - Oplog-tailing
It works by reading the mongo databaseās replication log that it uses to synchronize secondary databases (the āoplogā). This allows Meteor to deliver realtime updates across multiple hosts and scale horizontally.
It's more complicated, and provides real-time updates across multiple servers.
2 - Poll and diff
The poll-and-diff driver works by repeatedly running your query (polling) and computing the difference between new and old results (diffing). The server will re-run the query every time another client on the same server does a write that could affect the results. It will also re-run periodically to pick up changes from other servers or external processes modifying the database. Thus poll-and-diff can deliver realtime results for clients connected to the same server, but it introduces noticeable lag for external writes.
(the default is 10 seconds, and this is what you are experiencing , see attached image also ).
This may or may not be detrimental to the application UX, depending on the application (eg, bad for chat, fine for todos).
This approach is simple and and delivers easy to understand scaling characteristics. However, it does not scale well with lots of users and lots of data. Because each change causes all results to be refetched, CPU time and network bandwidth scale O(NĀ²) with users. Meteor automatically de-duplicates identical queries, though, so if each user does the same query the results can be shared.
You can tune poll-and-diff by changing values of pollingIntervalMs and pollingThrottleMs.
You have to use disableOplog: true option to opt-out of oplog tailing on a per query basis.
Meteor.publish("udpsPub", function (selector) {
return udps.find(selector, {
disableOplog: true,
pollingThrottleMs: 10000,
pollingIntervalMs: 10000
});
});
Additional links:
https://medium.baqend.com/real-time-databases-explained-why-meteor-rethinkdb-parse-and-firebase-dont-scale-822ff87d2f87
https://blog.meteor.com/tuning-meteor-mongo-livedata-for-scalability-13fe9deb8908
How to use pollingThrottle and pollingInterval?
It's a DDP (Websocket ) heartbeat configuration.
Meteor real time communication and live updates is performed using DDP ( JSON based protocol which Meteor had implemented on top of SockJS ).
Client and server where it can change data and react to its changes.
DDP (Websocket) protocol implements so called PING/PONG messages (Heartbeats) to keep Websockets alive. The server sends a PING message to the client through the Websocket, which then replies with PONG.
By default heartbeatInterval is configure at little more than 17 seconds (17500 milliseconds).
Check here: https://github.com/meteor/meteor/blob/d6f0fdfb35989462dcc66b607aa00579fba387f6/packages/ddp-client/common/livedata_connection.js#L54
You can configure heartbeat time in milliseconds on server by using:
Meteor.server.options.heartbeatInterval = 30000;
Meteor.server.options.heartbeatTimeout = 30000;
Other Link:
https://github.com/meteor/meteor/blob/0963bda60ea5495790f8970cd520314fd9fcee05/packages/ddp/DDP.md#heartbeats