# DataHub Quickstart Guide

## Deploying DataHub

To deploy a new instance of DataHub, perform the following steps.  

1. Install [docker](https://docs.docker.com/install/) and [docker-compose](https://docs.docker.com/compose/install/) (if using Linux). Make sure to allocate enough hardware resources for Docker engine. Tested & confirmed config: 2 CPUs, 8GB RAM, 2GB Swap area.


2. Launch the Docker Engine from command line or the desktop app. 


3. Install the DataHub CLI
   
   a. Ensure you have Python 3.6+ installed & configured. (Check using `python3 --version`)
   
   b. Run the following commands in your terminal 
   ```
   python3 -m pip install --upgrade pip wheel setuptools
   python3 -m pip uninstall datahub acryl-datahub || true  # sanity check - ok if it fails
   python3 -m pip install --upgrade acryl-datahub
   datahub version
   ```
   If you see "command not found", try running cli commands with the prefix 'python3 -m' instead: `python3 -m datahub version`


4. To deploy DataHub, run the following CLI command from your terminal
   ```
   datahub docker quickstart 
   ```
   Upon completion of this step, you should be able to navigate to the DataHub UI at [http://localhost:9002](http://localhost:9002) in your browser. You can sign in using `datahub` as  username and any password (no password validation by default).


5. To ingest the sample metadata, run the following CLI command from your terminal
   ```
   datahub docker ingest-sample-data
   ```
   
That's it! To start pushing your company's metadata into DataHub, take a look at the [Metadata Ingestion Framework](../metadata-ingestion/README.md).


## Resetting DataHub

To cleanse DataHub of all of it's state (e.g. before ingesting your own), you can use the CLI `nuke` command. 

```
datahub docker nuke
```


## FAQ

### Command not found: datahub

If running the datahub cli produces "command not found" errors inside your terminal, your system may be defaulting to an older 
version of Python. Try prefixing your `datahub` commands with `python3 -m`:
```
python3 -m datahub docker quickstart
```