Update new features. Add hdfs tiering refresh

MikeRayMSFT · MikeRayMSFT · commit 0241a3587ca9 · 2019-07-17T13:00:10.000-07:00
diff --git a/docs/big-data-cluster/deploy-install-mssqlctl.md b/docs/big-data-cluster/deploy-install-mssqlctl.md
@@ -15,7 +15,7 @@ ms.technology: big-data-cluster
 
 [!INCLUDE[tsql-appliesto-ssver15-xxxx-xxxx-xxx](../includes/tsql-appliesto-ssver15-xxxx-xxxx-xxx.md)]
 
-This article describes how to install the **mssqlctl** tool for CTP 3.1 on Windows or Linux.
+This article describes how to install the **mssqlctl** tool for CTP 3.2 on Windows or Linux.
 
 **mssqlctl** is a command-line utility written in Python that enables cluster administrators to bootstrap and manage the big data cluster via REST APIs. The minimum Python version required is v3.5. You must also have `pip` that is used to download and install **mssqlctl** tool. The instructions below provide examples for Windows and Ubuntu. For installing Python on other platforms, see the [Python documentation](https://wiki.python.org/moin/BeginnersGuide/Download).
 
@@ -39,16 +39,16 @@ This article describes how to install the **mssqlctl** tool for CTP 3.1 on Windo
    pip3 uninstall mssqlctl
    ```
 
-   For CTP 2.3 or higher, run the following command. Replace `ctp3.0` in the command with the version of **mssqlctl** that you are uninstalling. If the version is prior to CTP 3.0, add a dash before the version number (for example, `ctp-2.5`).
+   For CTP 2.3 or higher, run the following command. Replace `ctp3.1` in the command with the version of **mssqlctl** that you are uninstalling. If the version is prior to CTP 3.0, add a dash before the version number (for example, `ctp-2.5`).
 
    ```powershell
-   pip3 uninstall -r  https://private-repo.microsoft.com/python/ctp3.0/mssqlctl/requirements.txt
+   pip3 uninstall -r  https://private-repo.microsoft.com/python/ctp3.1/mssqlctl/requirements.txt
    ```
 
 1. Install **mssqlctl** with the following command:
 
    ```powershell
-   pip3 install -r  https://private-repo.microsoft.com/python/ctp3.1/mssqlctl/requirements.txt
+   pip3 install -r  https://private-repo.microsoft.com/python/ctp3.2/mssqlctl/requirements.txt
    ```
 
 ## <a id="linux"></a> Linux mssqlctl installation
@@ -77,16 +77,16 @@ On Linux, you must install Python 3.5 and then upgrade pip. The following exampl
    pip3 uninstall mssqlctl
    ```
 
-   For CTP 2.3 or higher, run the following command. Replace `ctp3.0` in the command with the version of **mssqlctl** that you are uninstalling. If the version is prior to CTP 3.0, add a dash before the version number (for example, `ctp-2.5`).
+   For CTP 2.3 or higher, run the following command. Replace `ctp3.1` in the command with the version of **mssqlctl** that you are uninstalling. If the version is prior to CTP 3.0, add a dash before the version number (for example, `ctp-2.5`).
 
    ```powershell
-   pip3 uninstall -r  https://private-repo.microsoft.com/python/ctp3.0/mssqlctl/requirements.txt
+   pip3 uninstall -r  https://private-repo.microsoft.com/python/ctp3.1/mssqlctl/requirements.txt
    ```
 
 1. Install **mssqlctl** with the following command:
 
    ```bash
-   pip3 install -r  https://private-repo.microsoft.com/python/ctp3.1/mssqlctl/requirements.txt --user
+   pip3 install -r  https://private-repo.microsoft.com/python/ctp3.2/mssqlctl/requirements.txt --user
    ```
 
    > [!NOTE]
diff --git a/docs/big-data-cluster/hdfs-tiering-mount-adlsgen2.md b/docs/big-data-cluster/hdfs-tiering-mount-adlsgen2.md
@@ -131,6 +131,14 @@ To list the status of a mount at a specific path in HDFS, use the following comm
 mssqlctl bdc storage-pool mount status --mount-path <mount-path-in-hdfs>
 ```
 
+## Refresh a mount
+
+The following example refreshes the mount.
+
+```bash
+mssqlctl bdc storage-pool mount refresh --mount-path <mount-path-in-hdfs>
+```
+
 ## <a id="delete"></a> Delete the mount
 
 To delete the mount, use the **mssqlctl bdc storage-pool mount delete** command, and specify the mount path in HDFS:
diff --git a/docs/big-data-cluster/hdfs-tiering-mount-s3.md b/docs/big-data-cluster/hdfs-tiering-mount-s3.md
@@ -81,6 +81,14 @@ To list the status of a mount at a specific path in HDFS, use the following comm
 mssqlctl bdc storage-pool mount status --mount-path <mount-path-in-hdfs>
 ```
 
+## Refresh a mount
+
+The following example refreshes the mount.
+
+```bash
+mssqlctl bdc storage-pool mount refresh --mount-path <mount-path-in-hdfs>
+```
+
 ## <a id="delete"></a> Delete the mount
 
 To delete the mount, use the **mssqlctl bdc storage-pool mount delete** command, and specify the mount path in HDFS:
diff --git a/docs/big-data-cluster/hdfs-tiering.md b/docs/big-data-cluster/hdfs-tiering.md
@@ -29,6 +29,10 @@ Today, by default, 1% of the total HDFS storage will be reserved for caching of
 
 The following sections provide an example of how to configure HDFS tiering with an Azure Data Lake Storage Gen2 data source.
 
+## Refresh
+
+HDFS tiering supports refresh. Refresh an existing mount for the latest snapshot of the remote data.
+
 ## Prerequisites
 
 - [Deployed big data cluster](deployment-guidance.md)
diff --git a/docs/sql-server/what-s-new-in-sql-server-ver15.md b/docs/sql-server/what-s-new-in-sql-server-ver15.md
@@ -30,6 +30,9 @@ Community technology preview (CTP) 3.2 is the latest public release of [!INCLUDE
 |New feature or update | Details |
 |:---|:---|
 |Public preview |Prior to CTP 3.2, SQL Server big data cluster was available to registered early adopters. This release allows anyone to experience the features of SQL Server Big data clusters. |
+|Notebook based troubleshooting |CTP 3.2 introduces Jupyter notebooks to assist with discovery, diagnosis, and troubleshooting for components in a SQL Server big data cluster. |
+|`azdata` |CTP 3.2 introduces `azdata` - a command-line utility written in Python that enables cluster administrators to bootstrap and manage the big data cluster via REST APIs. `azdata` replaces `mssqlctl`. |
+|HDFS tiering refresh |Introducing refresh functionality for HDFS tiering so that an existing mount can be refreshed for the latest snapshot of the remote data. |
 | &nbsp; | &nbsp; |
 
 ### New in database engine
