Welcome to the Trino getting started tutorial repository. This is a home for a set of preconfigured Docker Compose environments that are used to set up simple environments and showcase basic configurations in isolation to get new and existing users started on all the different containers we have, and more importantly learn and have fun with Trino.
If you're entirely new to Trino, you're not alone. Trino is a distributed SQL query engine designed to query large data sets distributed over one or more heterogeneous data sources. Check out some of our use cases to understand what Trino is and is not. We also have a rascally little bunny mascot named Commander Bun Bun 🐇.
Another thing to know about Trino is that it was originally called Presto® SQL and it shares the first 7 years of code with the well known Presto® DB. Trino houses the four original creators of Presto® and the majority code contributors of both Presto® and Trino. You can read more about why this split happened in the Trino rebrand blog.
In order to use this repository you need to have Docker installed to run your service containers. Check if you have Docker installed by running docker --version. If Docker isn't found, please refer to the install insructions and install Docker before trying to run these tutorials. If you're on mac or windows, you will just need to install docker desktop. If you're on a linux distribution, you will just need to install the docker engine.
The first level of directories in this repo are generally organized by connector. Concepts such as security, clients, or basics will have their own directory as well. The second level of directories contain the actual environment and tutorial directories themselves. In order to run the environment, you need to be in one of these directories that have a docker-compose.yml file in it. The second level of directories contain the actual environment and tutorial directories themselves. In order to run the environment, you need to be in one of these directories that have a docker-compose.yml file in it.
docker compose up -d
docker compose stop
cleans images, containers, and network
docker system prune --all --force
cleans volumes
docker volume prune --force
docker images
docker container exec -it <container_id> /bin/bash
docker logs <container_id>
docker container ls
docker compose ps
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