Hi @TheAdrianReza_N_A and welcome in the MongoDB Community !

Have you set your IP addresses correctly in your bindIp network configuration? Did you include in there the IP address of your client in your 3 config files?

If that’s not it, could you please share your config file and your docker-compose.yml maybe so we have a bit more information to work with?

Also ─ just to confirm ─ “mongo-rs0-1”, “mongo-rs0-2” and “mongo-rs0-3” are 3 different physical servers, correct?

Cheers,
Maxime.

From my understanding, docker-compose is a tool that starts multiple containers that will work together on the same machine.

So the way I understand it, your 3 “mongo-rs0-X” containers will be started on the same machine which makes me want to ask a simple question:

Replica Sets are here for one main reason: High Availability in prod. If your 3 nodes depends on some piece of hardware they have in common (same power source, same disk bay, etc), it means you are not really HA because that piece of equipment can fail and bring all your nodes down, all at once. Which is a big NO NO in prod.

That’s the reason why it’s a good practice to deploy your nodes in different data centers.

I also see you are using --smallfiles which is a deprecated option which was only for MMapV1 which is gone now and --oplogSize 128 is definitely a terrible idea.

So ─ based on this ─ I think you are trying to deploy a development or test environment here but then I really don’t see the point of deploying 3 nodes on the same cluster. A single node replica set would most probably be good enough, no?

Here is the docker command I use to start an ephemeral single replica set node on my machine when I need to hack something:

docker run --rm -d -p 27017:27017 -h $(hostname) --name mongo mongo:4.4.3 --replSet=test && sleep 4 && docker exec mongo mongo --eval "rs.initiate();"

I actually made an alias out of it which is in my ~/.bash_aliases file:

alias mdb='docker run --rm -d -p 27017:27017 -h $(hostname) --name mongo mongo:4.4.3 --replSet=test && sleep 4 && docker exec mongo mongo --eval "rs.initiate();"'

And ─ because of the --rm option ─ I can just destroy the container and everything it contains (volumes included) with a simple:

docker stop mongo

Is it what you were looking for or you really need to make these 3 nodes on the same machine work?

Cheers,
Maxime.

It’s a nonsense to run 3 members of the same RS on the same machine. Running multiple data bearing mongod on the same machine shouldn’t exist.

The only exception to that rule would be if you are learning how RS works and you want to experiment while learning.

I’m sorry that you found that a bit offensive. I’m being a bit sarcastic to REALLY explain why it doesn’t make sense and get the point across. If you read my entire post, the answer and justification is in it.

I explained in my answer why it’s a bad idea and I also explained the solution: Single Node Replica Set.

Transactions, Change Streams and a few other features in MongoDB rely on the special oplog collection that only exists in Replica Set setups. BUT you can set up a Single Node Replica Set that only contains a single Primary node and all the features will work just as good as in a 7 nodes Replica Set.

So again, I reiterate:

It’s a nonsense to run 3 members of the same RS on the same machine.

Use a Single Node RS instead. Same features but it’s using 3X less ressources.

Hi @Marco_Maldonado and welcome in the MongoDB Community !

Yes I am. It’s written right here.

I think I’ll write a blog post about this because apparently nobody wants to hear that single node RS for a localhost dev environment is just fine.

This is what I use daily to run a localhost dev environment:

alias mdb='docker run --rm -d -p 27017:27017 -h $(hostname) --name mongo mongo:6.0.5 --replSet=RS && sleep 5 && docker exec mongo mongosh --quiet --eval "rs.initiate();"'
alias m='docker exec -it mongo mongosh --quiet'

It works perfectly fine. I can use ACID transactions, change streams, …

If I want to keep the data, I can use a volume but I don’t need to.

Cheers,
Maxime.