If you are getting an error like
{"jsonrpc":"2.0","id":1,"error":{"code":-32000,"message":"gas limit exceeds maximum allowed"}}
There is a modified version with a small tweak to avoid the gas that the graph node has defined per default.
https://hub.docker.com/r/deeprfinance/graph-node
We have been using it for 3 different projects that require several subgraphs and it works like a charm.
Hope this helps 🙂
Here are the instructions from the forks README:
Graph Node Docker Image
Preconfigured Docker image for running a Graph Node.
Usage
docker run -it \
-e postgres_host=<HOST> \
-e postgres_port=<PORT> \
-e postgres_user=<USER> \
-e postgres_pass=<PASSWORD> \
-e postgres_db=<DBNAME> \
-e ipfs=<HOST>:<PORT> \
-e ethereum=<NETWORK_NAME>:<ETHEREUM_RPC_URL> \
graphprotocol/graph-node:latest
Example usage
docker run -it \
-e postgres_host=host.docker.internal \
-e postgres_port=5432 \
-e postgres_user=graph-node \
-e postgres_pass=oh-hello \
-e postgres_db=graph-node \
-e ipfs=host.docker.internal:5001 \
-e ethereum=mainnet:http://localhost:8545/ \
graphprotocol/graph-node:latest
Docker Compose
The Docker Compose setup requires an Ethereum network name and node
to connect to. By default, it will use mainnet:http://host.docker.internal:8545
in order to connect to an Ethereum node running on your host machine.
You can replace this with anything else in docker-compose.yaml
.
After you have set up an Ethereum node—e.g. Ganache or Parity—simply
clone this repository and run
docker-compose up
This will start IPFS, Postgres and Graph Node in Docker and create persistent
data directories for IPFS and Postgres in ./data/ipfs
and ./data/postgres
. You
can access these via:
- Graph Node:
- GraphiQL:
http://localhost:8000/
- HTTP:
http://localhost:8000/subgraphs/name/<subgraph-name>
- WebSockets:
ws://localhost:8001/subgraphs/name/<subgraph-name>
- Admin:
http://localhost:8020/
- IPFS:
127.0.0.1:5001
or /ip4/127.0.0.1/tcp/5001
- Postgres:
postgresql://graph-node:let-me-in@localhost:5432/graph-node
Once this is up and running, you can use
graph-cli
to create and
deploy your subgraph to the running Graph Node.
Running Graph Node on an Macbook M1
We do not currently build native images for Macbook M1, which can lead to processes being killed due to out-of-memory errors (code 137). Based on the example docker-compose.yml
is possible to rebuild the image for your M1 by running the following, then running docker-compose up
as normal:
Important Increase memory limits for the docker engine running on your machine. Otherwise docker build command will fail due to out of memory error. To do that, open docker-desktop and go to Resources/advanced/memory.
# Remove the original image
docker rmi graphprotocol/graph-node:latest
# Build the image
./docker/build.sh
# Tag the newly created image
docker tag graph-node graphprotocol/graph-node:latest
Source: https://github.com/nakamaio/graph-node/tree/master/docker
Credit goes to Carpincho from Nakama on the Touchpoint Discord