Merge pull request #9545 from rothja/bdcctp24new

Big data cluster udpates for CTP 2.4

Author: rothja

docs/big-data-cluster/big-data-cluster-create-apps.md

@@ -37,7 +37,7 @@ The following types of apps are supported:
 
 ## Capabilities
 
-In SQL Server 2019 (preview) CTP 2.3 you can create, delete, describe, initialize, list run and update your application. The following table describes the application deployment commands that you can use with **mssqlctl**.
+In SQL Server 2019 (preview) CTP 2.4 you can create, delete, describe, initialize, list run and update your application. The following table describes the application deployment commands that you can use with **mssqlctl**.
 
 |Command |Description |
 |:---|:---|

docs/big-data-cluster/cluster-admin-portal.md

@@ -30,7 +30,7 @@ Follow the [quickstart to deploy your big data cluster](quickstart-big-data-clus
 Once the controller pod is running, you can use the cluster administration portal to monitor the deployment. You can access the portal using the external IP address and port number for the `endpoint-service-proxy` (for example: **https://\<ip-address\>:30777/portal**). Credentials for accessing the admin portal are the values of `CONTROLLER_USERNAME` and `CONTROLLER_PASSWORD` environment variables provided above.
 
 > [!NOTE]
-> For CTP 2.3, There is a security warning when accessing the web page since it is using auto-generated SSL certificates.
+> For CTP 2.4, There is a security warning when accessing the web page since it is using auto-generated SSL certificates.
 
 ## Overview
 

docs/big-data-cluster/concept-controller.md

@@ -24,8 +24,8 @@ The controller service provides the following core functionality:
 - Expose monitoring tools to observe the state of the cluster
 - Expose troubleshooting tools to detect and repair unexpected issues
 - Manage cluster security: ensure secure cluster endpoints, manage users and roles, configure credentials for intra-cluster communication
-- Manage the workflow of upgrades so that they are implemented safely (not available in CTP 2.3)
-- Manage high availability and DR for statefull services in the cluster (not available in CTP 2.3)
+- Manage the workflow of upgrades so that they are implemented safely (not available in CTP 2.4)
+- Manage high availability and DR for statefull services in the cluster (not available in CTP 2.4)
 
 ## Deploying the controller service
 

docs/big-data-cluster/concept-data-persistence.md

@@ -21,7 +21,7 @@ ms.custom: seodec18
 The way SQL Server big data cluster consumes these persistent volumes is by using [Storage Classes](https://kubernetes.io/docs/concepts/storage/storage-classes/). You can create different storage classes for different kind of storage and specify them at the big data cluster deployment time. You can configure which storage class to use for which purpose (pool). SQL Server big data cluster creates [persistent volume claims](https://kubernetes.io/docs/concepts/storage/persistent-volumes/#persistentvolumeclaims) with the specified storage class name for each pod that requires persistent volumes. It then mounts the corresponding persistent volume(s) in the pod.
 
 > [!NOTE]
-> For CTP 2.3, only `ReadWriteOnce` access mode for the whole cluster is supported.
+> For CTP 2.4, only `ReadWriteOnce` access mode for the whole cluster is supported.
 
 ## Deployment settings
 

docs/big-data-cluster/deploy-install-mssqlctl.md

@@ -32,18 +32,21 @@ This article describes how to install the **mssqlctl** tool on Windows or Linux.
 1. If you have any previous releases of **mssqlctl** installed, it is important to uninstall **mssqlctl** first before installing the latest version.
 
    If you are unisntalling mssqlctl corresponding to CTP version 2.2 or lower run:
+
    ```powershell
    pip3 uninstall mssqlctl
    ```
-   
-   For CTP2.3 or higher run:
+
+   For CTP2.3 or higher run (replace `ctp-2.3` in the command with the version of mssqlctl you are uninstalling):
+
    ```powershell
    pip3 uninstall -r  https://private-repo.microsoft.com/python/ctp-2.3/mssqlctl/requirements.txt
    ```
+
 1. Install **mssqlctl** with the following command:
 
    ```powershell
-   pip3 install -r  https://private-repo.microsoft.com/python/ctp-2.3/mssqlctl/requirements.txt
+   pip3 install -r  https://private-repo.microsoft.com/python/ctp-2.4/mssqlctl/requirements.txt
    ```
 
 ## <a id="linux"></a> Linux mssqlctl installation
@@ -67,19 +70,21 @@ On Linux, you must install Python 3.5 and then upgrade pip. The following exampl
 1. If you have any previous releases of **mssqlctl** installed, it is important to uninstall **mssqlctl** first before installing the latest version.
 
    If you are unisntalling mssqlctl corresponding to CTP version 2.2 or lower run:
+
    ```bash
    pip3 uninstall mssqlctl
    ```
-   
-   For CTP2.3 or higher run:
+
+   For CTP2.3 or higher run (replace `ctp-2.3` in the command with the version of mssqlctl you are uninstalling):
+
    ```bash
    pip3 uninstall -r  https://private-repo.microsoft.com/python/ctp-2.3/mssqlctl/requirements.txt
    ```
 
 1. Install **mssqlctl** with the following command:
 
    ```bash
-   pip3 install -r  https://private-repo.microsoft.com/python/ctp-2.3/mssqlctl/requirements.txt --user
+   pip3 install -r  https://private-repo.microsoft.com/python/ctp-2.4/mssqlctl/requirements.txt --user
    ```
 
    > [!NOTE]

docs/big-data-cluster/deployment-guidance.md

@@ -82,7 +82,7 @@ The cluster configuration can be customized using a set of environment variables
 | **ACCEPT_EULA** | Yes | N/A | Accept the SQL Server license agreement (for example, 'Yes').  |
 | **CLUSTER_NAME** | Yes | N/A | The name of the Kubernetes namespace to deploy SQLServer big data cluster into. |
 | **CLUSTER_PLATFORM** | Yes | N/A | The platform the Kubernetes cluster is deployed. Can be `aks`, `minikube`, `kubernetes`|
-| **CLUSTER_COMPUTE_POOL_REPLICAS** | No | 1 | The number of compute pool replicas to build out. In CTP 2.3 only valued allowed is 1. |
+| **CLUSTER_COMPUTE_POOL_REPLICAS** | No | 1 | The number of compute pool replicas to build out. In CTP 2.4 only valued allowed is 1. |
 | **CLUSTER_DATA_POOL_REPLICAS** | No | 2 | The number of data pool replicas to build out. |
 | **CLUSTER_STORAGE_POOL_REPLICAS** | No | 2 | The number of storage pool replicas to build out. |
 | **DOCKER_REGISTRY** | Yes | TBD | The private registry where the images used to deploy the cluster are stored. |
@@ -273,13 +273,13 @@ Currently, the only way to upgrade a big data cluster to a new release is to man
    **Windows:**
 
    ```powershell
-   pip3 install -r  https://private-repo.microsoft.com/python/ctp-2.3/mssqlctl/requirements.txt
+   pip3 install -r  https://private-repo.microsoft.com/python/ctp-2.4/mssqlctl/requirements.txt
    ```
 
    **Linux:**
 
    ```bash
-   pip3 install -r  https://private-repo.microsoft.com/python/ctp-2.3/mssqlctl/requirements.txt --user
+   pip3 install -r  https://private-repo.microsoft.com/python/ctp-2.4/mssqlctl/requirements.txt --user
    ```
 
    > [!IMPORTANT]

docs/big-data-cluster/hdfs-tiering.md

@@ -14,7 +14,7 @@ ms.technology: big-data-cluster
 
 # Configure HDFS tiering on SQL Server 2019 big data clusters
 
-HDFS Tiering provides the ability to mount external, HDFS-compatible file system in HDFS. This article explains how to configure HDFS tiering for SQL Server 2019 big data clusters (preview). At this time, CTP 2.3 only supports connecting to Azure Data Lake Storage Gen2, which is the focus of this article.
+HDFS Tiering provides the ability to mount external, HDFS-compatible file system in HDFS. This article explains how to configure HDFS tiering for SQL Server 2019 big data clusters (preview). At this time, CTP 2.4 only supports connecting to Azure Data Lake Storage Gen2, which is the focus of this article.
 
 ## HDFS tiering overview
 

docs/big-data-cluster/quickstart-big-data-cluster-deploy.md

@@ -154,7 +154,7 @@ kubectl get svc endpoint-service-proxy -n <your-cluster-name>
 ```
 
 > [!NOTE]
-> In CTP 2.3, you will see a security warning when accessing the web page, because big data clusters is currently using auto-generated SSL certificates.
+> In CTP 2.4, you will see a security warning when accessing the web page, because big data clusters is currently using auto-generated SSL certificates.
 
 ## Connect to the cluster