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Docs fix: supported languages in Unity Shared clusters (#1587)
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docs/guides/unity-catalog-azure.md

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@@ -299,7 +299,7 @@ resource "databricks_grants" "some" {
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To ensure the integrity of ACLs, Unity Catalog data can be accessed only through compute resources configured with strong isolation guarantees and other security features. A Unity Catalog [databricks_cluster](../resources/cluster.md) has a ‘Security Mode’ set to either **User Isolation** or **Single User**.
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- **User Isolation** clusters can be shared by multiple users, but only SQL language is allowed. Some advanced cluster features such as library installation, init scripts and the DBFS Fuse mount are also disabled in this mode to ensure security isolation among cluster users.
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- **User Isolation** clusters can be shared by multiple users, but only Python (using DBR>=11.1) and SQL languages are allowed. Some advanced cluster features such as library installation, init scripts and the DBFS Fuse mount are also disabled in this mode to ensure security isolation among cluster users.
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```hcl
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data "databricks_spark_version" "latest" {
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}
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```
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- To use those advanced cluster features or languages like Python, Scala and R with Unity Catalog, one must choose **Single User** mode when launching the cluster. The cluster can only be used exclusively by a single user (by default the owner of the cluster); other users are not allowed to attach to the cluster.
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- To use those advanced cluster features or languages like Machine Learning Runtime, Streaming, Scala and R with Unity Catalog, one must choose **Single User** mode when launching the cluster. The cluster can only be used exclusively by a single user (by default the owner of the cluster); other users are not allowed to attach to the cluster.
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The below example will create a collection of single-user [databricks_cluster](../resources/cluster.md) for each user in a group managed through SCIM provisioning. Individual user will be able to restart their cluster, but not anyone else. Terraform's `for_each` meta-attribute will help us achieve this.
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First we use [databricks_group](../data-sources/group.md) and [databricks_user](../data-sources/user.md) data resources to get the list of user names that belong to a group.

docs/guides/unity-catalog.md

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@@ -465,7 +465,7 @@ resource "databricks_grants" "some" {
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To ensure the integrity of ACLs, Unity Catalog data can be accessed only through compute resources configured with strong isolation guarantees and other security features. A Unity Catalog [databricks_cluster](../resources/cluster.md) has a ‘Security Mode’ set to either **User Isolation** or **Single User**.
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- **User Isolation** clusters can be shared by multiple users, but only SQL language is allowed. Some advanced cluster features such as library installation, init scripts and the DBFS Fuse mount are also disabled in this mode to ensure security isolation among cluster users.
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- **User Isolation** clusters can be shared by multiple users, but only Python (using DBR>=11.1) and SQL languages are allowed. Some advanced cluster features such as library installation, init scripts and the DBFS Fuse mount are also disabled in this mode to ensure security isolation among cluster users.
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```hcl
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data "databricks_spark_version" "latest" {
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}
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```
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- To use those advanced cluster features or languages like Python, Scala and R with Unity Catalog, one must choose **Single User** mode when launching the cluster. The cluster can only be used exclusively by a single user (by default the owner of the cluster); other users are not allowed to attach to the cluster.
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- To use those advanced cluster features or languages like Machine Learning Runtime, Streaming, Scala and R with Unity Catalog, one must choose **Single User** mode when launching the cluster. The cluster can only be used exclusively by a single user (by default the owner of the cluster); other users are not allowed to attach to the cluster.
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The below example will create a collection of single-user [databricks_cluster](../resources/cluster.md) for each user in a group managed through SCIM provisioning. Individual user will be able to restart their cluster, but not anyone else. Terraform's `for_each` meta-attribute will help us achieve this.
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First we use [databricks_group](../data-sources/group.md) and [databricks_user](../data-sources/user.md) data resources to get the list of user names that belong to a group.

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