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Merge pull request #204824 from MikeRayMSFT/20220714-update-preview
Stage direct connectivity pre-release procedures
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articles/azure-arc/data/preview-testing.md

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@@ -24,7 +24,7 @@ Each month, Azure Arc-enabled data services is released on the second Tuesday of
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- 14 days before the release date, the *test* pre-release version is made available.
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- 7 days before the release date, the *preview* pre-release version is made available.
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The main difference between the test and preview pre-release versions is usually just quality and stability, but in some exceptional cases there may be new features introduced in between the test and preview releases.
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Normally, the main difference between the test and preview pre-release versions is quality and stability, but in some exceptional cases there may be new features introduced in between the test and preview releases.
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Normally, pre-release version binaries are available around 10:00 AM Pacific Time. Documentation follows later in the day.
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@@ -74,21 +74,69 @@ If you use the Azure Data Studio extension to install:
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#### Indirect connectivity mode
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If you install using the Azure CLI, follow the instructions to [create a custom configuration profile](create-custom-configuration-template.md). Once created, edit this custom configuration profile file enter the `docker` property values as required based on the information provided in the version history table on this page.
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If you install using the Azure CLI:
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For example:
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1. Follow the instructions to [create a custom configuration profile](create-custom-configuration-template.md).
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1. Edit this custom configuration profile file. Enter the `docker` property values as required based on the information provided in the version history table on this page.
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```json
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For example:
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"docker": {
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"registry": "mcr.microsoft.com",
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"repository": "arcdata/test",
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"imageTag": "v1.8.0_2022-06-07_5ba6b837",
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"imagePullPolicy": "Always"
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},
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```
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```json
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"docker": {
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"registry": "mcr.microsoft.com",
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"repository": "arcdata/test",
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"imageTag": "v1.8.0_2022-06-07_5ba6b837",
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"imagePullPolicy": "Always"
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},
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```
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1. Use the command `az arcdata dc create` as explained in [create a custom configuration profile](create-custom-configuration-template.md).
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#### Direct connectivity mode
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If you install using the Azure CLI:
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1. Follow the instructions to [create a custom configuration profile](create-custom-configuration-template.md).
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1. Edit this custom configuration profile file. Enter the `docker` property values as required based on the information provided in the version history table on this page.
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For example:
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```json
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"docker": {
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"registry": "mcr.microsoft.com",
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"repository": "arcdata/test",
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"imageTag": "v1.8.0_2022-06-07_5ba6b837",
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"imagePullPolicy": "Always"
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},
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```
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1. Set environment variables for:
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- `ARC_DATASERVICES_EXTENSION_VERSION_TAG`: Use the version of the **Arc enabled Kubernetes helm chart extension version** from the release details under [Current preview release information](#current-preview-release-information).
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- `ARC_DATASERVICES_EXTENSION_RELEASE_TRAIN`: `preview`
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For example, the following command sets the environment variables on Linux.
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```console
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export ARC_DATASERVICES_EXTENSION_VERSION_TAG='1.2.20031002'
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export ARC_DATASERVICES_EXTENSION_RELEASE_TRAIN='preview'
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```
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The following command sets the environment variables on PowerShell
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```console
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$ENV:ARC_DATASERVICES_EXTENSION_VERSION_TAG="1.2.20031002"
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$ENV:ARC_DATASERVICES_EXTENSION_RELEASE_TRAIN="preview"
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```
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1. Run `az arcdata dc create` as normal for the direct mode to:
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- Create the extension, if it doesn't already exist
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- Create the custom location, if it doesn't already exist
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- Create data controller
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Once the file is edited, use the command `az arcdata dc create` as explained in [create a custom configuration profile](create-custom-configuration-template.md).
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For details see, [create a custom configuration profile](create-custom-configuration-template.md).
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### Install using Azure Data Studio
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