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Go Ethereum Swarm local testing cluster

This repository contains configuration files and scripts intended for testing local Swarm cluster.

Dependencies

First steps

Make sure that you have installed the required dependencies.

Setup everything:

make

Create a new image:

make image

Create or update the cluster (non-interactive):

make cluster

Destroy cluster while preserving the volumes data (non-interactive):

make destroy-cluster

Destroy cluster and remove data and local copy of go-ethereum repository:

make clean

Terraform commands apply and destroy in Makefile rules are non-interactive and will not ask for confirmation. Use it carefully. If you need to review and confirm changes use terraform directly as described below.

Building Docker image

Docker image requires go-ethereum source code under $GOPATH. General assumption is that the image will be built during the development of Swarm and that the local changes to go-ethereum source code are important and will be used.

To build the image execute the following script:

./image/build

It will remove the code in image/go-ethereum if exists, shallow clone the repository from local disk and call docker build command.

The image that is created will be named go-ethereum-swarm-test.

Creating the cluster

Cluster is managed by Terraform as Docker containers from the same image within the dedicated Docker network.

Initialize the terraform only once:

terraform init

After executing:

terraform apply

the following containers will be created:

  • bootnode
  • geth
  • swarm{1...n}

Each swarm container will have its HTTP API port exposed on port number 8500+n, where n is the container serial number from its name.

Options

File variables.rf contains options that can be applied when creating the cluster. Some of the interesting ones are:

  • verbosity - Verbosity level for swarm, geth and bootnode.
  • swarm_count - Number of swarm containers.
  • docker_containers_prefix - Optional prefix for namespacing all Docker containers.
  • docker_network_name - Docker network name.

Adding and removing Swarm nodes

Managing a number of nodes can be done using terraform variable swarm_count:

terraform apply -var swarm_count=10

If the number of active containers is less the the one provided in the command above, new nodes will be created, otherwise existing will be terminated to match the desired count.

State

Bootnode, geth and swarm containers are configured to have their data directories mounted to the data dir within the terraform configuration files. For the containers that are named the same, the data will be preserved on cluster recreation. To clean up the state, just remove appropriate directories from data dir.

Terraform variables docker_containers_prefix and docker_network_name can be used to avoid conflicts when creating multiple clusters on the same host.

Destroying the cluster

terraform destroy

Accessing the Swarm nodes

As each swarm node's HTTP API is exposed, using the swarm cluster can be achieved by making a HTTP requests on each node.

For example, uploading a file to the cluster can be done on any node, let that be the second one exposed on port 8502:

curl -H "Content-Type: text/plain" --data-binary "some-data" http://localhost:8502/bzz:/

Which will return the hash of the swarm content.

And then requesting the data from the first node:

curl localhost:8501/bzz:/52c5aa1a731ef529915f6d23287069d34ae7c719a4570137e42fa7d4ae6312ec/

where 52c5aa1a731ef529915f6d23287069d34ae7c719a4570137e42fa7d4ae6312ec represents the returned data from the first curl request and here acts only as an example. You should replace it with your own hash.

Exposing other ports

Terraform file main.tf contains references to the ports that services listen to within containers. If you need other ports exposed, enable them in main.tf file and apply with terraform command:

terraform apply

Accessing the node's log messages

All logging is handled by Docker and to list log entries use docker log command. For example, to list logs from the third swarm container:

docker log swarm3

To change the log verbosity level:

terraform apply -var verbosity=6

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