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Copy file name to clipboardExpand all lines: README.md
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## Build instructions
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We use `mkdocs` together with [`mike`]((https://github.com/jimporter/mike/) for versioning to build the documentation.
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We use `mkdocs` together with [`mike`](https://github.com/jimporter/mike/) for versioning to build the documentation.
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We also use this two main mkdocs plugins: [`mkdocstrings`](https://mkdocstrings.github.io/) and [its Python handler](https://mkdocstrings.github.io/python/), and [`mkdocs-material`](https://squidfunk.github.io/mkdocs-material/) as the theme.
Copy file name to clipboardExpand all lines: docs/setup_installation/admin/configure-project-mapping.md
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# Configure group to project mapping
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## Introduction
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A group-to-project mapping lets you automatically add all members of a Hopsworks group to a project, eliminating the need to add each user individually. To create a mapping, you simply select a Hopsworks group, choose the project it should be linked to, and assign the role that its members will have within that project.
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Once a mapping is created, project membership is controlled through Hopsworks group membership. Any updates made to the Hopsworks group—such as adding or removing users—will automatically be reflected in the project membership. For example, if a user is removed from the Hopsworks group, they will also be removed from the corresponding project.
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1. Hopsworks group mapping sync enabled. This can be done by setting the variable ```hw_group_mapping_sync_enabled=true```.
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See [Cluster Configuration](./variables.md) on how to change variable values in Hopsworks.
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### Step 2: Edit a mapping
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From the list of mappings click on the edit button (:material-pencil:). This will open a popup that will allow you to change the _group_, _project name_, and _project role_ of a mapping.
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From the list of mappings click on the edit button (:material-pencil:). This will open a popup that will allow you to change the *group*, *project name*, and *project role* of a mapping.
Copy file name to clipboardExpand all lines: docs/setup_installation/admin/oauth2/configure-project-mapping.md
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# Configure OAuth2 group to project mapping
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## Introduction
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A group-to-project mapping lets you automatically add all members of an OAuth2 group to a project, eliminating the need to add each user individually. To create a mapping, you simply select an OAuth2 group, choose the project it should be linked to, and assign the role that its members will have within that project.
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Once a mapping is created, project membership is controlled through OAuth2 group membership. Any updates made to the OAuth2 group—such as adding or removing users—will automatically be reflected in Hopsworks. For example, if a user is removed from the OAuth2 group, they will also be removed from the corresponding project.
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## Prerequisites
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1. A server configured with OAuth2. See [Register Identity Provider in Hopsworks](./create-client.md) for instructions on how to do this.
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2. OAuth2 group mapping sync enabled. This can be done by setting the variable ```oauth_group_mapping_sync_enabled=true```.
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See [Cluster Configuration](../variables.md) on how to change variable values in Hopsworks.
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### Step 2: Edit a mapping
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From the list of mappings click on the edit button (:material-pencil:). This will open a popup that will allow you to change the _remote group_, _project name_, and _project role_ of a mapping.
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From the list of mappings click on the edit button (:material-pencil:). This will open a popup that will allow you to change the *remote group*, *project name*, and *project role* of a mapping.
Copy file name to clipboardExpand all lines: docs/user_guides/projects/jobs/pyspark_job.md
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| <nobr>`conf['archives']`</nobr> | string | Comma-separated string of HDFS path(s) to archives to be made available to the application. Example: `hdfs:///Project/<project_name>/Resources/archive.zip,...`|`null`|
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| <nobr>`conf['properties']`</nobr> | string | A new line separated (`\n`) list of properties to pass to the Spark application. The properties should be in the format `name=value`|`null`|
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## Accessing project data
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### Read directly from the filesystem (recommended)
Copy file name to clipboardExpand all lines: docs/user_guides/projects/jobs/spark_job.md
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| <nobr>`conf['archives']`</nobr> | string | Comma-separated string of HDFS path(s) to archives to be made available to the application. Example: `hdfs:///Project/<project_name>/Resources/archive.zip,...`|`null`|
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| <nobr>`conf['properties']`</nobr> | string | A new line separated (`\n`) list of properties to pass to the Spark application. The properties should be in the format `name=value`|`null`|
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## Accessing project data
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### Read directly from the filesystem (recommended)
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