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    1.0.0-beta.3 • Public • Published

    Azure Monitor Workspace query client library for JavaScript

    Azure Monitor is a comprehensive solution for collecting, analyzing, and acting on telemetry from your cloud and on-premises environments.

    Use the client library for Azure Monitor to:

    Source code | Package (NPM) | API reference documentation| Product documentation Samples

    Getting started

    Install the package

    npm install @azure/monitor-query

    Currently supported environments

    See our support policy for more details.


    Create an Azure Monitor resource

    You can use the Azure Portal or the Azure CLI to create an Azure Monitor resource.


    Authenticate the client

    LogsQueryClient and MetricsQueryClient authenticate using a service principal.

    Authenticating with a service principal

    Authentication via service principal is done by:

    • Creating a credential using the @azure/identity package.
    • Setting appropriate RBAC rules on your Azure Monitor resource. More information on Azure Monitor roles can be found here.

    Using DefaultAzureCredential

    const { DefaultAzureCredential } = require("@azure/identity");
    const { LogsQueryClient, MetricsQueryClient } = require("@azure/monitor-query");
    const credential = new DefaultAzureCredential();
    const logsQueryClient = new LogsQueryClient(credential);
    // or
    const metricsQueryClient = new MetricsQueryClient(credential);

    More information about @azure/identity can be found here

    Key concepts

    The LogsQueryClient allows you to query logs, using the Kusto query language. This data can be queried in the portal using tables like AppEvents, AppDependencies and others.

    The MetricsQueryClient allows you to query metrics.


    Querying logs

    The LogsQueryClient can be used to query a Monitor workspace using the Kusto Query language.

    const { LogsQueryClient } = require("@azure/monitor-query");
    const { DefaultAzureCredential } = require("@azure/identity");
    const azureLogAnalyticsWorkspaceId = "<the Workspace Id for your Azure Log Analytics resource>";
    const logsQueryClient = new LogsQueryClient(new DefaultAzureCredential());
    async function run() {
      const kustoQuery = "AppEvents | limit 1";
      const result = await logsQueryClient.queryLogs(azureLogAnalyticsWorkspaceId, kustoQuery);
      const tablesFromResult = result.tables;
      if (tablesFromResult == null) {
        console.log(`No results for query '${kustoQuery}'`);
      console.log(`Results for query '${kustoQuery}'`);
      for (const table of tablesFromResult) {
        const columnHeaderString = table.columns
          .map((column) => `${}(${column.type}) `)
          .join("| ");
        console.log("| " + columnHeaderString);
        for (const row of table.rows) {
          const columnValuesString = => `'${columnValue}' `).join("| ");
          console.log("| " + columnValuesString);
    run().catch((err) => console.log("ERROR:", err));

    For more samples see here: samples.



    Enabling logging may help uncover useful information about failures. In order to see a log of HTTP requests and responses, set the AZURE_LOG_LEVEL environment variable to info. Alternatively, logging can be enabled at runtime by calling setLogLevel in the @azure/logger:

    import { setLogLevel } from "@azure/logger";

    For more detailed instructions on how to enable logs, you can look at the @azure/logger package docs.

    Next steps

    The following samples show you the various ways you can query your Log Analytics workspace:

    More in-depth examples can be found in the samples folder on GitHub.


    If you'd like to contribute to this library, please read the contributing guide to learn more about how to build and test the code.

    This module's tests are a mixture of live and unit tests, which require you to have an Azure Monitor instance. To execute the tests you'll need to run:

    1. rush update
    2. rush build -t @azure/monitor-query
    3. cd into sdk/monitor/monitor-query
    4. Copy the sample.env file to .env
    5. Open the .env file in an editor and fill in the values.
    6. npm run test.

    View our tests folder for more details.

    Related projects



    npm i @azure/[email protected]





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    • southpolesteve
    • christopheranderson
    • azure-sdk