kcorlidy / fullgear-4node-setup

A Fabric Network of 3 Orderers with Kafka, 2 Organizations each of which has 2 peers, deployed across 4 nodes.

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A Fabric Network deployed on 4 Nodes

A Fabric Network of 3 Orderers with Kafka, 2 Organizations each of which has 2 peers, deployed on 4 nodes.

Node Setup

We need total four nodes, designated Node 1-4. With the following setup.

Node Zookeeper Kafka Orderer Peer CLI
1 zookeeper0 kafka0 orderer0.example.com peer0.org1.example.com cli
2 zookeeper1 kafka1 orderer1.example.com peer1.org1.example.com cli
3 zookeeper2 kafka2 orderer2.example.com peer0.org2.example.com cli
4 kafka3 peer1.org2.example.com cli

Steps

Step 1: Launch Four Nodes

The setup is tested with Ubuntu 18.04 LTS and on AWS EC2 t2.small instances. It should also work in other cloud instances. For demo purpose simply open all ports in security group (or equivalent).

Keep the public IP address of the four nodes.

Step 2: Install everything required in a Hyperledger Fabric Node

That includes the prerequisite and the fabric software. Release 1.4.1 is tested in this setup. If a single cloud provider is used, we can create a machine image after installing all the software. Next time when we launch the four nodes we don't need to redo it again.

Here is a sample how to do this on AWS: Setup a Hyperledger Fabric host and Create a Machine Image

Step 3: Prepare material in localhost

Clone this repository in fabric-samples

Modify the .env, with the public IP address for each node.

NODE1=
NODE2=
NODE3=
NODE4=

Step 4: Copy the whole directory to the four nodes

cd fabric-samples
tar cf fullgear-4node-setup.tar fullgear-4node-setup/

And scp to each node.

scp -i <key_name> fullgear-4node-setup.tar ubuntu@[node_address]:/home/ubuntu/fabric-samples/

Step 5: Bring up containers in each node

On each node,

cd fabric-samples
tar xf fullgear-4node-setup.tar
cd fullgear-4node-setup
docker-compose -f node<n>.yaml up -d

After it is done on four nodes, do a docker ps and check whether all containers are up and running.

Note that there are chances that kafka container exits. If so, just perform a docker-compose command again on those nodes, until all containers are up and running.

Step 6: Create and join channel

In this setup I only have one channel mychannel. We will create the mychannel.block first using cli in Node 1.

# Node 1
docker exec cli peer channel create -o orderer0.example.com:7050 -c mychannel -f ./channel-artifacts/channel.tx
docker exec cli peer channel join -b mychannel.block

Then copy mychannel.block to other nodes. I am using localhost and scp.

# Node 1
docker cp org1-cli:/opt/gopath/src/github.com/hyperledger/fabric/peer/mychannel.block .

# localhost
scp -i ~/Downloads/aws.pem ubuntu@[Node1]:/home/ubuntu/fabric-samples/fullgear-4node-setup/mychannel.block .
scp -i ~/Downloads/aws.pem mychannel.block ubuntu@[Node2&3&4]:/home/ubuntu/fabric-samples/fullgear-4node-setup/

# Node 2, 3 and 4
docker cp mychannel.block cli:/opt/gopath/src/github.com/hyperledger/fabric/peer/

Now mychannel.block is in all cli in each node. We will join other peers to mychannel

# Node 2, 3 and 4
docker exec cli peer channel join -b mychannel.block

Step 7: Test your chaincode

Now the mychannel is ready, and you can start testing your own chaincode.

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A Fabric Network of 3 Orderers with Kafka, 2 Organizations each of which has 2 peers, deployed across 4 nodes.