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Code Issues Packages Projects Releases Wiki Activity

big data cluster -> Big Data Cluster (#7536)

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Charles Gagnon
2019-10-07 13:13:40 -07:00
committed by GitHub
parent 5454917569
commit f418104b7a
10 changed files with 17 additions and 17 deletions
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2
CHANGELOG.md
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@@ -215,7 +215,7 @@ We would like to thank all our users who raised issues, and in particular the fo
## What's new in this version
* Announcing the SQL Server 2019 Preview extension.
* Support for SQL Server 2019 preview features including big data cluster support.
* Support for SQL Server 2019 preview features including Big Data Cluster support.
* Azure Data Studio Notebooks
* The Azure Resource Explorer viewlets you browse data-related endpoints for your Azure accounts and create connections to them in Object Explorer. In this release Azure SQL Databases and servers are supported.
* SQL Server Polybase Create External Table Wizard

4
extensions/big-data-cluster/README.md
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@@ -1,6 +1,6 @@
# Microsoft SQL Server big data cluster Extension for Azure Data Studio
# Microsoft SQL Server Big Data Cluster Extension for Azure Data Studio
Welcome to Microsoft SQL Server big data cluster Extension for Azure Data Studio!
Welcome to Microsoft SQL Server Big Data Cluster Extension for Azure Data Studio!
## Code of Conduct

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extensions/big-data-cluster/package.nls.json
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@@ -1,6 +1,6 @@
{
"description": "Support for managing SQL Server big data clusters",
"text.sqlServerBigDataClusters": "SQL Server big data clusters",
"description": "Support for managing SQL Server Big Data Clusters",
"text.sqlServerBigDataClusters": "SQL Server Big Data Clusters",
"command.addController.title": "Connect to Controller",
"command.deleteController.title" : "Delete",
"command.refreshController.title" : "Refresh",

2
extensions/big-data-cluster/src/bigDataCluster/tree/addControllerNode.ts
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@@ -17,7 +17,7 @@ export class AddControllerNode extends TreeNode {
private readonly nodeType: string;
constructor() {
super(localize('textBigDataClusterControllerWithDots', "Add SQL Server big data cluster controller..."));
super(localize('textBigDataClusterControllerWithDots', "Add SQL Server Big Data Cluster controller..."));
this.nodeType = BdcItemType.addController;
}

8
extensions/mssql/notebooks/TSG/cluster-status.ipynb
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@@ -45,7 +45,7 @@
"|Tools|Description|Installation|\n",
"|---|---|---|\n",
"|kubectl | Command-line tool for monitoring the underlying Kubernetes cluster | [Installation](https://kubernetes.io/docs/tasks/tools/install-kubectl/#install-kubectl-binary-using-native-package-management) |\n",
"|azdata | Command-line tool for installing and managing a big data cluster |[Installation](https://docs.microsoft.com/en-us/sql/big-data-cluster/deploy-install-azdata?view=sqlallproducts-allversions) |\n",
"|azdata | Command-line tool for installing and managing a Big Data Cluster |[Installation](https://docs.microsoft.com/en-us/sql/big-data-cluster/deploy-install-azdata?view=sqlallproducts-allversions) |\n",
"|Pandas Package | Python package for data manipulation | Will be installed by the notebook if not present |\n",
"\n",
"\n",
@@ -123,7 +123,7 @@
"- **Type** the login info\r\n",
"- **Press** enter.\r\n",
"\r\n",
"If your cluster is missing a configuration file, you will be asked to provide your controller endpoint. (Format: **https://00.00.00.000:00000**) You can find the controller endpoint from the big data cluster dashboard in the Service Endpoints table. The endpoint is listed as **Cluster Management Service.**\r\n",
"If your cluster is missing a configuration file, you will be asked to provide your controller endpoint. (Format: **https://00.00.00.000:00000**) You can find the controller endpoint from the Big Data Cluster dashboard in the Service Endpoints table. The endpoint is listed as **Cluster Management Service.**\r\n",
""
],
"metadata": {}
@@ -154,7 +154,7 @@
"print('***********')\n",
"\n",
"!azdata logout\n",
"# Login in to your big data cluster \n",
"# Login in to your Big Data Cluster \n",
"cmd = f'azdata login -n {cluster_name} -u {controller_username} -a yes'\n",
"print(\"Start \" + cmd)\n",
"os.environ['CONTROLLER_USERNAME'] = controller_username\n",
@@ -244,7 +244,7 @@
" mydata = HTML(df.to_html(render_links=True))\n",
" display(mydata)\n",
" \n",
"# Display status of big data cluster\n",
"# Display status of Big Data Cluster\n",
"results = !azdata bdc status show -o json\n",
"show_results(results)"
],

4
extensions/mssql/package.nls.json
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@@ -17,8 +17,8 @@
"notebook.command.new": "New Notebook",
"notebook.command.open": "Open Notebook",
"tab.bigDataClusterDescription": "Tasks and information about your SQL Server big data cluster",
"title.bigDataCluster": "SQL Server big data cluster",
"tab.bigDataClusterDescription": "Tasks and information about your SQL Server Big Data Cluster",
"title.bigDataCluster": "SQL Server Big Data Cluster",
"title.submitSparkJob": "Submit Spark Job",
"title.newSparkJob": "New Spark Job",
"title.openSparkHistory": "View Spark History",

2
extensions/mssql/src/localizedConstants.ts
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@@ -46,4 +46,4 @@ export function sparkJobSubmissionYarnUIMessage(yarnUIURL: string): string { ret
export function sparkJobSubmissionSparkHistoryLinkMessage(sparkHistoryLink: string): string { return localize('sparkJobSubmission_SparkHistoryLinkMessage', 'Spark History Url: {0} ', sparkHistoryLink); }
export function sparkJobSubmissionGetApplicationIdFailed(err: string): string { return localize('sparkJobSubmission_GetApplicationIdFailed', 'Get Application Id Failed. {0}', err); }
export function sparkJobSubmissionLocalFileNotExisted(path: string): string { return localize('sparkJobSubmission_LocalFileNotExisted', 'Local file {0} does not existed. ', path); }
export const sparkJobSubmissionNoSqlBigDataClusterFound = localize('sparkJobSubmission_NoSqlBigDataClusterFound', 'No Sql Server big data cluster found.');
export const sparkJobSubmissionNoSqlBigDataClusterFound = localize('sparkJobSubmission_NoSqlBigDataClusterFound', 'No SQL Server Big Data Cluster found.');

4
extensions/mssql/src/sparkFeature/dialog/dialogCommands.ts
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@@ -77,7 +77,7 @@ export class OpenSparkJobSubmissionDialogCommand extends Command {
selectedHost = await vscode.window.showQuickPick(displayList, {
placeHolder:
localize('sparkJobSubmission_PleaseSelectSqlWithCluster',
"Please select SQL Server with big data cluster.")
"Please select SQL Server with Big Data Cluster.")
});
if (selectedHost === selectConnectionMsg) {
showConnectionDialog = true;
@@ -107,7 +107,7 @@ export class OpenSparkJobSubmissionDialogCommand extends Command {
let sqlClusterConnection = await SqlClusterLookUp.getSqlClusterConnection(sqlConnection);
if (!sqlClusterConnection) {
throw new Error(localize('errorNotSqlBigDataCluster', "The selected server does not belong to a SQL Server big data cluster"));
throw new Error(localize('errorNotSqlBigDataCluster', "The selected server does not belong to a SQL Server Big Data Cluster"));
}
return new SqlClusterConnection(sqlClusterConnection);

2
extensions/notebook/src/jupyter/jupyterSessionManager.ts
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@@ -246,7 +246,7 @@ export class JupyterSession implements nb.ISession {
if (connection.providerName === SQL_PROVIDER) {
let clusterEndpoint: utils.IEndpoint = await this.getClusterEndpoint(connection.id, KNOX_ENDPOINT_GATEWAY);
if (!clusterEndpoint) {
return Promise.reject(new Error(localize('connectionNotValid', "Spark kernels require a connection to a SQL Server big data cluster master instance.")));
return Promise.reject(new Error(localize('connectionNotValid', "Spark kernels require a connection to a SQL Server Big Data Cluster master instance.")));
}
let hostAndPort = utils.getHostAndPortFromEndpoint(clusterEndpoint.endpoint);
connection.options[KNOX_ENDPOINT_SERVER] = hostAndPort.host;

2
extensions/resource-deployment/src/services/tools/azdataTool.ts
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@@ -22,7 +22,7 @@ export class AzdataTool extends ToolBase {
}
get description(): string {
return localize('resourceDeployment.AzdataDescription', "A command-line utility written in Python that enables cluster administrators to bootstrap and manage the big data cluster via REST APIs");
return localize('resourceDeployment.AzdataDescription', "A command-line utility written in Python that enables cluster administrators to bootstrap and manage the Big Data Cluster via REST APIs");
}
get type(): ToolType {