Change docker-compose to docker compose in docs
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@ -20,13 +20,13 @@ Because we make use of Row Level Security in the database, - all operations typi
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We use ElasticSearch to store page data in a distributed manner. This is a great way to store data that is not easily searchable.
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All the page data is stored in a single index `pages`. This index is then queried by the app to display the data.
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You need to make sure you have an elasticsearch instance running locally (or just use docker-compose).
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You need to make sure you have an elasticsearch instance running locally (or just use docker compose).
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ES url is specified by `ES_URL` environment variable (username `ES_USERNAME` and password `ES_PASSWORD` can be random strings in local environment).
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When you're running elastic for the very first time, you need to create indices and ingest existing data. This can be done by running `python elastic_migrate.py`.
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This operation is idempotent, so you can always run `python elastic_migrate.py` again to re-ingest all the data.
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You can run ElasticSearch separately by using `docker-compose -f docker-compose.yml up -d elastic`.
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You can run ElasticSearch separately by using `docker compose -f docker-compose.yml up -d elastic`.
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## Image Proxy (optional for local dev)
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@ -36,16 +36,18 @@ to a running instance of image proxy along with env var IMAGE_PROXY_SECRET. The
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same secret env var ought to be passed as config to the running image proxy
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service. You can also use the docker-compose-dev.yml file to bring up just the
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image proxy service alone (w/ env var for secret specified in the compose file)
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by running: ```docker-compose -f docker-compose-dev.yml up -d imageproxy```.
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by running: `docker compose -f docker-compose-dev.yml up -d imageproxy`.
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When running locally, use the .env.local file to set up the env variables in your environment.
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### Set up the database
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Refer the [using locally](../db/README.md#using-locally) section from db README.
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### Copy .env.example file to .env file:
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cp .env.example .env
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### Run the app
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yarn dev
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