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* update UI credential requirement for Quickstart * Update quickstart.md Co-authored-by: Mars Lan <mars.th.lan@gmail.com>
19 lines
1.6 KiB
Markdown
19 lines
1.6 KiB
Markdown
# DataHub Quickstart Guide
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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.
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2. Open Docker either from the command line or the desktop app and ensure it is up and running.
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3. Clone this repo and `cd` into the root directory of the cloned repository.
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4. Run the following command to download and run all Docker containers locally:
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```
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./docker/quickstart.sh
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```
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This step takes a while to run the first time, and it may be difficult to tell if DataHub is fully up and running from the combined log. Please use [this guide](debugging.md#how-can-i-confirm-if-all-docker-containers-are-running-as-expected-after-a-quickstart) to verify that each container is running correctly.
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5. At this point, you should be able to start DataHub by opening [http://localhost:9001](http://localhost:9001) in your browser. You can sign in using `datahub` as username and any password (no password validation by default). However, you'll notice that no data has been ingested yet.
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6. To ingest provided [sample data](https://github.com/linkedin/datahub/blob/master/metadata-ingestion/mce-cli/bootstrap_mce.dat) to DataHub, switch to a new terminal window, `cd` into the cloned `datahub` repo, and run the following command:
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```
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./docker/ingestion/ingestion.sh
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```
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After running this, you should be able to see and search sample datasets in DataHub.
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Please refer to the [debugging guide](debugging.md) if you encounter any issues during the quickstart.
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