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arangodb/README.md

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@@ -237,7 +237,7 @@ unix> docker run -d --name arangodb-persist -v /var/lib/arangodb3 busybox true
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### Using as a base image
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If you are using the image as a base image please make sure to wrap any CMD in the [exec](https://docs.docker.com/engine/reference/builder/#cmd) form. Otherwise the default entrypoint will not do its bootstrapping work.
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If you are using the image as a base image please make sure to wrap any CMD in the [exec](https://docs.docker.com/reference/dockerfile/#cmd) form. Otherwise the default entrypoint will not do its bootstrapping work.
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When deriving the image, you can control the instantiation via putting files into `/docker-entrypoint-initdb.d/`.
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cassandra/README.md

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Important note: There are several ways to store data used by applications that run in Docker containers. We encourage users of the `cassandra` images to familiarize themselves with the options available, including:
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- Let Docker manage the storage of your database data [by writing the database files to disk on the host system using its own internal volume management](https://docs.docker.com/engine/tutorials/dockervolumes/#adding-a-data-volume). This is the default and is easy and fairly transparent to the user. The downside is that the files may be hard to locate for tools and applications that run directly on the host system, i.e. outside containers.
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- Create a data directory on the host system (outside the container) and [mount this to a directory visible from inside the container](https://docs.docker.com/engine/tutorials/dockervolumes/#mount-a-host-directory-as-a-data-volume). This places the database files in a known location on the host system, and makes it easy for tools and applications on the host system to access the files. The downside is that the user needs to make sure that the directory exists, and that e.g. directory permissions and other security mechanisms on the host system are set up correctly.
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- Let Docker manage the storage of your database data [by writing the database files to disk on the host system using its own internal volume management](https://docs.docker.com/storage/volumes/). This is the default and is easy and fairly transparent to the user. The downside is that the files may be hard to locate for tools and applications that run directly on the host system, i.e. outside containers.
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- Create a data directory on the host system (outside the container) and [mount this to a directory visible from inside the container](https://docs.docker.com/storage/bind-mounts/). This places the database files in a known location on the host system, and makes it easy for tools and applications on the host system to access the files. The downside is that the user needs to make sure that the directory exists, and that e.g. directory permissions and other security mechanisms on the host system are set up correctly.
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The Docker documentation is a good starting point for understanding the different storage options and variations, and there are multiple blogs and forum postings that discuss and give advice in this area. We will simply show the basic procedure here for the latter option above:
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couchdb/README.md

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@@ -139,8 +139,8 @@ In addition, a few environment variables are provided to set very common paramet
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Important note: There are several ways to store data used by applications that run in Docker containers. We encourage users of the `couchdb` images to familiarize themselves with the options available, including:
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- Let Docker manage the storage of your database data [by writing the database files to disk on the host system using its own internal volume management](https://docs.docker.com/engine/tutorials/dockervolumes/#adding-a-data-volume). This is the default and is easy and fairly transparent to the user. The downside is that the files may be hard to locate for tools and applications that run directly on the host system, i.e. outside containers.
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- Create a data directory on the host system (outside the container) and [mount this to a directory visible from inside the container](https://docs.docker.com/engine/tutorials/dockervolumes/#mount-a-host-directory-as-a-data-volume). This places the database files in a known location on the host system, and makes it easy for tools and applications on the host system to access the files. The downside is that the user needs to make sure that the directory exists, and that e.g. directory permissions and other security mechanisms on the host system are set up correctly.
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- Let Docker manage the storage of your database data [by writing the database files to disk on the host system using its own internal volume management](https://docs.docker.com/storage/volumes/). This is the default and is easy and fairly transparent to the user. The downside is that the files may be hard to locate for tools and applications that run directly on the host system, i.e. outside containers.
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- Create a data directory on the host system (outside the container) and [mount this to a directory visible from inside the container](https://docs.docker.com/storage/bind-mounts/). This places the database files in a known location on the host system, and makes it easy for tools and applications on the host system to access the files. The downside is that the user needs to make sure that the directory exists, and that e.g. directory permissions and other security mechanisms on the host system are set up correctly.
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The Docker documentation is a good starting point for understanding the different storage options and variations, and there are multiple blogs and forum postings that discuss and give advice in this area. We will simply show the basic procedure here for the latter option above:
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docker/README.md

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Important note: There are several ways to store data used by applications that run in Docker containers. We encourage users of the `docker` images to familiarize themselves with the options available, including:
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- Let Docker manage the storage of your data [by writing to disk on the host system using its own internal volume management](https://docs.docker.com/engine/tutorials/dockervolumes/#adding-a-data-volume). This is the default and is easy and fairly transparent to the user. The downside is that the files may be hard to locate for tools and applications that run directly on the host system, i.e. outside containers.
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- Create a data directory on the host system (outside the container) and [mount this to a directory visible from inside the container](https://docs.docker.com/engine/tutorials/dockervolumes/#mount-a-host-directory-as-a-data-volume). This places the files in a known location on the host system, and makes it easy for tools and applications on the host system to access the files. The downside is that the user needs to make sure that the directory exists, and that e.g. directory permissions and other security mechanisms on the host system are set up correctly.
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- Let Docker manage the storage of your data [by writing to disk on the host system using its own internal volume management](https://docs.docker.com/storage/volumes/). This is the default and is easy and fairly transparent to the user. The downside is that the files may be hard to locate for tools and applications that run directly on the host system, i.e. outside containers.
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- Create a data directory on the host system (outside the container) and [mount this to a directory visible from inside the container](https://docs.docker.com/storage/bind-mounts/). This places the files in a known location on the host system, and makes it easy for tools and applications on the host system to access the files. The downside is that the user needs to make sure that the directory exists, and that e.g. directory permissions and other security mechanisms on the host system are set up correctly.
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The Docker documentation is a good starting point for understanding the different storage options and variations, and there are multiple blogs and forum postings that discuss and give advice in this area. We will simply show the basic procedure here for the latter option above:
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