feat: Add Official Microsoft & Gemini Skills (845+ Total)
🚀 Impact Significantly expands the capabilities of **Antigravity Awesome Skills** by integrating official skill collections from **Microsoft** and **Google Gemini**. This update increases the total skill count to **845+**, making the library even more comprehensive for AI coding assistants. ✨ Key Changes 1. New Official Skills - **Microsoft Skills**: Added a massive collection of official skills from [microsoft/skills](https://github.com/microsoft/skills). - Includes Azure, .NET, Python, TypeScript, and Semantic Kernel skills. - Preserves the original directory structure under `skills/official/microsoft/`. - Includes plugin skills from the `.github/plugins` directory. - **Gemini Skills**: Added official Gemini API development skills under `skills/gemini-api-dev/`. 2. New Scripts & Tooling - **`scripts/sync_microsoft_skills.py`**: A robust synchronization script that: - Clones the official Microsoft repository. - Preserves the original directory heirarchy. - Handles symlinks and plugin locations. - Generates attribution metadata. - **`scripts/tests/inspect_microsoft_repo.py`**: Debug tool to inspect the remote repository structure. - **`scripts/tests/test_comprehensive_coverage.py`**: Verification script to ensure 100% of skills are captured during sync. 3. Core Improvements - **`scripts/generate_index.py`**: Enhanced frontmatter parsing to safely handle unquoted values containing `@` symbols and commas (fixing issues with some Microsoft skill descriptions). - **`package.json`**: Added `sync:microsoft` and `sync:all-official` scripts for easy maintenance. 4. Documentation - Updated `README.md` to reflect the new skill counts (845+) and added Microsoft/Gemini to the provider list. - Updated `CATALOG.md` and `skills_index.json` with the new skills. 🧪 Verification - Ran `scripts/tests/test_comprehensive_coverage.py` to verify all Microsoft skills are detected. - Validated `generate_index.py` fixes by successfully indexing the new skills.
This commit is contained in:
Ahmed Rehan
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skills/official/microsoft/java/monitoring/query/SKILL.md
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skills/official/microsoft/java/monitoring/query/SKILL.md
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---
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name: azure-monitor-query-java
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description: |
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Azure Monitor Query SDK for Java. Execute Kusto queries against Log Analytics workspaces and query metrics from Azure resources.
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Triggers: "LogsQueryClient java", "MetricsQueryClient java", "kusto query java", "log analytics java", "azure monitor query java".
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Note: This package is deprecated. Migrate to azure-monitor-query-logs and azure-monitor-query-metrics.
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package: com.azure:azure-monitor-query
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---
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# Azure Monitor Query SDK for Java
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> **DEPRECATION NOTICE**: This package is deprecated in favor of:
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> - `azure-monitor-query-logs` — For Log Analytics queries
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> - `azure-monitor-query-metrics` — For metrics queries
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>
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> See migration guides: [Logs Migration](https://github.com/Azure/azure-sdk-for-java/blob/main/sdk/monitor/azure-monitor-query-logs/migration-guide.md) | [Metrics Migration](https://github.com/Azure/azure-sdk-for-java/blob/main/sdk/monitor/azure-monitor-query-metrics/migration-guide.md)
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Client library for querying Azure Monitor Logs and Metrics.
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## Installation
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```xml
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<dependency>
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<groupId>com.azure</groupId>
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<artifactId>azure-monitor-query</artifactId>
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<version>1.5.9</version>
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</dependency>
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```
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Or use Azure SDK BOM:
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```xml
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<dependencyManagement>
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<dependencies>
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<dependency>
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<groupId>com.azure</groupId>
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<artifactId>azure-sdk-bom</artifactId>
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<version>{bom_version}</version>
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<type>pom</type>
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<scope>import</scope>
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</dependency>
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</dependencies>
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</dependencyManagement>
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<dependencies>
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<dependency>
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<groupId>com.azure</groupId>
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<artifactId>azure-monitor-query</artifactId>
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</dependency>
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</dependencies>
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```
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## Prerequisites
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- Log Analytics workspace (for logs queries)
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- Azure resource (for metrics queries)
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- TokenCredential with appropriate permissions
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## Environment Variables
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```bash
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LOG_ANALYTICS_WORKSPACE_ID=xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx
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AZURE_RESOURCE_ID=/subscriptions/{sub}/resourceGroups/{rg}/providers/{provider}/{resource}
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```
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## Client Creation
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### LogsQueryClient (Sync)
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```java
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import com.azure.identity.DefaultAzureCredentialBuilder;
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import com.azure.monitor.query.LogsQueryClient;
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import com.azure.monitor.query.LogsQueryClientBuilder;
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LogsQueryClient logsClient = new LogsQueryClientBuilder()
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.credential(new DefaultAzureCredentialBuilder().build())
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.buildClient();
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```
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### LogsQueryAsyncClient
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```java
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import com.azure.monitor.query.LogsQueryAsyncClient;
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LogsQueryAsyncClient logsAsyncClient = new LogsQueryClientBuilder()
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.credential(new DefaultAzureCredentialBuilder().build())
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.buildAsyncClient();
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```
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### MetricsQueryClient (Sync)
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```java
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import com.azure.monitor.query.MetricsQueryClient;
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import com.azure.monitor.query.MetricsQueryClientBuilder;
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MetricsQueryClient metricsClient = new MetricsQueryClientBuilder()
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.credential(new DefaultAzureCredentialBuilder().build())
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.buildClient();
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```
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### MetricsQueryAsyncClient
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```java
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import com.azure.monitor.query.MetricsQueryAsyncClient;
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MetricsQueryAsyncClient metricsAsyncClient = new MetricsQueryClientBuilder()
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.credential(new DefaultAzureCredentialBuilder().build())
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.buildAsyncClient();
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```
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### Sovereign Cloud Configuration
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```java
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// Azure China Cloud - Logs
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LogsQueryClient logsClient = new LogsQueryClientBuilder()
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.credential(new DefaultAzureCredentialBuilder().build())
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.endpoint("https://api.loganalytics.azure.cn/v1")
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.buildClient();
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// Azure China Cloud - Metrics
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MetricsQueryClient metricsClient = new MetricsQueryClientBuilder()
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.credential(new DefaultAzureCredentialBuilder().build())
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.endpoint("https://management.chinacloudapi.cn")
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.buildClient();
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```
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## Key Concepts
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| Concept | Description |
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|---------|-------------|
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| Logs | Log and performance data from Azure resources via Kusto Query Language |
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| Metrics | Numeric time-series data collected at regular intervals |
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| Workspace ID | Log Analytics workspace identifier |
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| Resource ID | Azure resource URI for metrics queries |
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| QueryTimeInterval | Time range for the query |
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## Logs Query Operations
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### Basic Query
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```java
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import com.azure.monitor.query.models.LogsQueryResult;
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import com.azure.monitor.query.models.LogsTableRow;
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import com.azure.monitor.query.models.QueryTimeInterval;
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import java.time.Duration;
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LogsQueryResult result = logsClient.queryWorkspace(
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"{workspace-id}",
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"AzureActivity | summarize count() by ResourceGroup | top 10 by count_",
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new QueryTimeInterval(Duration.ofDays(7))
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);
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for (LogsTableRow row : result.getTable().getRows()) {
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System.out.println(row.getColumnValue("ResourceGroup") + ": " + row.getColumnValue("count_"));
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}
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```
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### Query by Resource ID
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```java
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LogsQueryResult result = logsClient.queryResource(
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"{resource-id}",
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"AzureMetrics | where TimeGenerated > ago(1h)",
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new QueryTimeInterval(Duration.ofDays(1))
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);
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for (LogsTableRow row : result.getTable().getRows()) {
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System.out.println(row.getColumnValue("MetricName") + " " + row.getColumnValue("Average"));
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}
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```
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### Map Results to Custom Model
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```java
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// Define model class
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public class ActivityLog {
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private String resourceGroup;
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private String operationName;
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public String getResourceGroup() { return resourceGroup; }
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public String getOperationName() { return operationName; }
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}
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// Query with model mapping
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List<ActivityLog> logs = logsClient.queryWorkspace(
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"{workspace-id}",
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"AzureActivity | project ResourceGroup, OperationName | take 100",
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new QueryTimeInterval(Duration.ofDays(2)),
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ActivityLog.class
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);
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for (ActivityLog log : logs) {
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System.out.println(log.getOperationName() + " - " + log.getResourceGroup());
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}
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```
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### Batch Query
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```java
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import com.azure.monitor.query.models.LogsBatchQuery;
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import com.azure.monitor.query.models.LogsBatchQueryResult;
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import com.azure.monitor.query.models.LogsBatchQueryResultCollection;
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import com.azure.core.util.Context;
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LogsBatchQuery batchQuery = new LogsBatchQuery();
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String q1 = batchQuery.addWorkspaceQuery("{workspace-id}", "AzureActivity | count", new QueryTimeInterval(Duration.ofDays(1)));
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String q2 = batchQuery.addWorkspaceQuery("{workspace-id}", "Heartbeat | count", new QueryTimeInterval(Duration.ofDays(1)));
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String q3 = batchQuery.addWorkspaceQuery("{workspace-id}", "Perf | count", new QueryTimeInterval(Duration.ofDays(1)));
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LogsBatchQueryResultCollection results = logsClient
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.queryBatchWithResponse(batchQuery, Context.NONE)
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.getValue();
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LogsBatchQueryResult result1 = results.getResult(q1);
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LogsBatchQueryResult result2 = results.getResult(q2);
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LogsBatchQueryResult result3 = results.getResult(q3);
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// Check for failures
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if (result3.getQueryResultStatus() == LogsQueryResultStatus.FAILURE) {
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System.err.println("Query failed: " + result3.getError().getMessage());
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}
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```
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### Query with Options
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```java
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import com.azure.monitor.query.models.LogsQueryOptions;
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import com.azure.core.http.rest.Response;
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LogsQueryOptions options = new LogsQueryOptions()
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.setServerTimeout(Duration.ofMinutes(10))
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.setIncludeStatistics(true)
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.setIncludeVisualization(true);
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Response<LogsQueryResult> response = logsClient.queryWorkspaceWithResponse(
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"{workspace-id}",
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"AzureActivity | summarize count() by bin(TimeGenerated, 1h)",
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new QueryTimeInterval(Duration.ofDays(7)),
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options,
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Context.NONE
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);
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LogsQueryResult result = response.getValue();
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// Access statistics
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BinaryData statistics = result.getStatistics();
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// Access visualization data
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BinaryData visualization = result.getVisualization();
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```
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### Query Multiple Workspaces
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```java
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import java.util.Arrays;
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LogsQueryOptions options = new LogsQueryOptions()
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.setAdditionalWorkspaces(Arrays.asList("{workspace-id-2}", "{workspace-id-3}"));
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Response<LogsQueryResult> response = logsClient.queryWorkspaceWithResponse(
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"{workspace-id-1}",
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"AzureActivity | summarize count() by TenantId",
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new QueryTimeInterval(Duration.ofDays(1)),
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options,
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Context.NONE
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);
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```
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## Metrics Query Operations
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### Basic Metrics Query
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```java
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import com.azure.monitor.query.models.MetricsQueryResult;
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import com.azure.monitor.query.models.MetricResult;
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import com.azure.monitor.query.models.TimeSeriesElement;
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import com.azure.monitor.query.models.MetricValue;
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import java.util.Arrays;
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MetricsQueryResult result = metricsClient.queryResource(
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"{resource-uri}",
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Arrays.asList("SuccessfulCalls", "TotalCalls")
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);
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for (MetricResult metric : result.getMetrics()) {
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System.out.println("Metric: " + metric.getMetricName());
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for (TimeSeriesElement ts : metric.getTimeSeries()) {
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System.out.println(" Dimensions: " + ts.getMetadata());
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for (MetricValue value : ts.getValues()) {
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System.out.println(" " + value.getTimeStamp() + ": " + value.getTotal());
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}
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}
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}
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```
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### Metrics with Aggregations
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```java
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import com.azure.monitor.query.models.MetricsQueryOptions;
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import com.azure.monitor.query.models.AggregationType;
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Response<MetricsQueryResult> response = metricsClient.queryResourceWithResponse(
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"{resource-id}",
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Arrays.asList("SuccessfulCalls", "TotalCalls"),
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new MetricsQueryOptions()
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.setGranularity(Duration.ofHours(1))
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.setAggregations(Arrays.asList(AggregationType.AVERAGE, AggregationType.COUNT)),
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Context.NONE
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);
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MetricsQueryResult result = response.getValue();
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```
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### Query Multiple Resources (MetricsClient)
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```java
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import com.azure.monitor.query.MetricsClient;
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import com.azure.monitor.query.MetricsClientBuilder;
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import com.azure.monitor.query.models.MetricsQueryResourcesResult;
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MetricsClient metricsClient = new MetricsClientBuilder()
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.credential(new DefaultAzureCredentialBuilder().build())
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.endpoint("{endpoint}")
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.buildClient();
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MetricsQueryResourcesResult result = metricsClient.queryResources(
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Arrays.asList("{resourceId1}", "{resourceId2}"),
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Arrays.asList("{metric1}", "{metric2}"),
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"{metricNamespace}"
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);
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for (MetricsQueryResult queryResult : result.getMetricsQueryResults()) {
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for (MetricResult metric : queryResult.getMetrics()) {
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System.out.println(metric.getMetricName());
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metric.getTimeSeries().stream()
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.flatMap(ts -> ts.getValues().stream())
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.forEach(mv -> System.out.println(
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mv.getTimeStamp() + " Count=" + mv.getCount() + " Avg=" + mv.getAverage()));
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}
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}
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```
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## Response Structure
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### Logs Response Hierarchy
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```
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LogsQueryResult
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├── statistics (BinaryData)
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├── visualization (BinaryData)
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├── error
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└── tables (List<LogsTable>)
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├── name
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├── columns (List<LogsTableColumn>)
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│ ├── name
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│ └── type
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└── rows (List<LogsTableRow>)
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├── rowIndex
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└── rowCells (List<LogsTableCell>)
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```
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### Metrics Response Hierarchy
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```
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MetricsQueryResult
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├── granularity
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├── timeInterval
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├── namespace
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├── resourceRegion
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└── metrics (List<MetricResult>)
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├── id, name, type, unit
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└── timeSeries (List<TimeSeriesElement>)
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├── metadata (dimensions)
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└── values (List<MetricValue>)
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├── timeStamp
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├── count, average, total
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├── maximum, minimum
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```
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## Error Handling
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```java
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import com.azure.core.exception.HttpResponseException;
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import com.azure.monitor.query.models.LogsQueryResultStatus;
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try {
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LogsQueryResult result = logsClient.queryWorkspace(workspaceId, query, timeInterval);
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// Check partial failure
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if (result.getStatus() == LogsQueryResultStatus.PARTIAL_FAILURE) {
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System.err.println("Partial failure: " + result.getError().getMessage());
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}
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} catch (HttpResponseException e) {
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System.err.println("Query failed: " + e.getMessage());
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System.err.println("Status: " + e.getResponse().getStatusCode());
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}
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```
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## Best Practices
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1. **Use batch queries** — Combine multiple queries into a single request
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2. **Set appropriate timeouts** — Long queries may need extended server timeout
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3. **Limit result size** — Use `top` or `take` in Kusto queries
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4. **Use projections** — Select only needed columns with `project`
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5. **Check query status** — Handle PARTIAL_FAILURE results gracefully
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6. **Cache results** — Metrics don't change frequently; cache when appropriate
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7. **Migrate to new packages** — Plan migration to `azure-monitor-query-logs` and `azure-monitor-query-metrics`
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## Reference Links
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| Resource | URL |
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|----------|-----|
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| Maven Package | https://central.sonatype.com/artifact/com.azure/azure-monitor-query |
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| GitHub | https://github.com/Azure/azure-sdk-for-java/tree/main/sdk/monitor/azure-monitor-query |
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| API Reference | https://learn.microsoft.com/java/api/com.azure.monitor.query |
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| Kusto Query Language | https://learn.microsoft.com/azure/data-explorer/kusto/query/ |
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| Log Analytics Limits | https://learn.microsoft.com/azure/azure-monitor/service-limits#la-query-api |
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| Troubleshooting | https://github.com/Azure/azure-sdk-for-java/blob/main/sdk/monitor/azure-monitor-query/TROUBLESHOOTING.md |
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Reference in New Issue
Block a user