Awesome
<div style="text-align:center" align="center"> <picture> <source media="(prefers-color-scheme: dark)" srcset="docs/assets/algorand_logo_mark_white.png"> <source media="(prefers-color-scheme: light)" srcset="docs/assets/algorand_logo_mark_black.png"> <img alt="Shows a black Algorand logo light mode and white in dark mode." src="docs/assets/algorand_logo_mark_black.png" width="200"> </picture> </div>Algorand Conduit
Conduit is a framework for ingesting blocks from the Algorand blockchain into external applications. It is designed as modular plugin system that allows users to configure their own data pipelines for filtering, aggregation, and storage of blockchain data.
<!-- TODO: a cool diagram here that clearly demonstrates data moving through the system -->For example, use conduit to:
- Build a notification system for on chain events.
- Power a next generation block explorer.
- Select app specific data and write it to a custom database.
- Build a custom Indexer for a new ARC.
- Send blockchain data to another streaming data platform for additional processing (e.g. RabbitMQ, Kafka, ZeroMQ).
- Build an NFT catalog based on different standards.
System Requirements
For a simple deployment the following configuration works well:
- Network: Conduit colocated with Algod follower.
- Conduit + Algod: 4 CPU and 8 GB of ram.
- Storage: algod follower node, 40 GiB, 3000 IOPS minimum.
- Deployments allocating less ram might work in conjunction with GOMEMLIMIT for Algod (and even Conduit). This configuration is not tested, so use with caution and monitor closely.
Getting Started
Installation
Download
The latest conduit
binary can be downloaded from the GitHub releases page.
Docker
The latest docker image is on docker hub.
Install from Source
- Checkout the repo, or download the source,
git clone https://github.com/algorand/conduit.git && cd conduit
- Run
make conduit
. - The binary is created at
cmd/conduit/conduit
.
Usage
Conduit is configured with a YAML file named conduit.yml
. This file defines the pipeline behavior by enabling and configuring different plugins.
Create conduit.yml
configuration file
Use the conduit init
subcommand to create a configuration template. Place the configuration template in a new data directory. By convention the directory is named data
and is referred to as the data directory.
mkdir data
./conduit init > data/conduit.yml
A Conduit pipeline is composed of 3 components, Importers, Processors, and Exporters.
Every pipeline must define exactly 1 Importer, exactly 1 Exporter, and can optionally define a series of 0 or more Processors. See a full list of available plugins with conduit list
or the plugin documentation page.
Here is an example conduit.yml
that configures two plugins:
importer:
name: algod
config:
mode: "follower"
netaddr: "http://your-follower-node:1234"
token: "your API token"
# no processors defined for this configuration
processors:
exporter:
name: file_writer
config:
# the default config writes block data to the data directory.
The conduit init
command can also be used to select which plugins to include in the template. The example below uses the standard algod importer and sends the data to PostgreSQL. This example does not use any processor plugins.
./conduit init --importer algod --exporter postgresql > data/conduit.yml
Before running Conduit you need to review and modify conduit.yml
according to your environment.
Run Conduit
Once configured, start Conduit with your data directory as an argument:
./conduit -d data
Full Tutorials
External Plugins
Conduit supports external plugins which can be developed by anyone.
For a list of available plugins and instructions on how to use them, see the External Plugins page.
External Plugin Development
See the Plugin Development page for building a plugin.
Contributing
Contributions are welcome! Please refer to our CONTRIBUTING document for general contribution guidelines.