@ -11,11 +11,11 @@ AQuery++ Database is a cross-platform, In-Memory Column-Store Database that inco
- Finally run the image in **interactive** mode (`docker run --name aquery -it aquery`)
- Finally run the image in **interactive** mode (`docker run --name aquery -it aquery`)
- When you need to access the container again run `docker start -ai aquery`
- When you need to access the container again run `docker start -ai aquery`
- If there is a need to access the system shell within AQuery, type `dbg` to activate python interpreter and type `os.system('sh')` to launch a shell.
- If there is a need to access the system shell within AQuery, type `dbg` to activate python interpreter and type `os.system('sh')` to launch a shell.
- Docker image is available on [Docker Hub](https://hub.docker.com/repository/docker/sunyinqi0508/aquery) but building image yourself is highly recommended (see [#2](../../issues/2))
## CIMS Computer Lab (Only for NYU affiliates who have access)
## CIMS Computer Lab (Only for NYU affiliates who have access)
1. Clone this git repo in CIMS.
1. Clone this git repo in CIMS.
2. Download the [patch](https://drive.google.com/file/d/1YkykhM6u0acZ-btQb4EUn4jAEXPT81cN/view?usp=sharing)
2. Download the [patch](https://drive.google.com/file/d/1YkykhM6u0acZ-btQb4EUn4jAEXPT81cN/view?usp=sharing)
3. Decompress the patch to any directory and execute script inside by typing (`source ./cims.sh`). Please use the source command or `. ./cims.sh` (dot space) to execute the script because it contains configurations for environment variables.
3. Decompress the patch to any directory and execute script inside by typing (`source ./cims.sh`). Please use the source command or `. ./cims.sh` (dot space) to execute the script because it contains configurations for environment variables. Also note that this script can only work with bash and compatible shells (e.g. dash, zsh. but not csh)
