azure-monitor-query-java
Azure Monitor Query SDK for Java. Execute Kusto queries against Log Analytics workspaces and query metrics from Azure resources.
Best use case
azure-monitor-query-java is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Azure Monitor Query SDK for Java. Execute Kusto queries against Log Analytics workspaces and query metrics from Azure resources.
Teams using azure-monitor-query-java should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/azure-monitor-query-java/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How azure-monitor-query-java Compares
| Feature / Agent | azure-monitor-query-java | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Azure Monitor Query SDK for Java. Execute Kusto queries against Log Analytics workspaces and query metrics from Azure resources.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Azure Monitor Query SDK for Java
> **DEPRECATION NOTICE**: This package is deprecated in favor of:
> - `azure-monitor-query-logs` — For Log Analytics queries
> - `azure-monitor-query-metrics` — For metrics queries
>
> 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)
Client library for querying Azure Monitor Logs and Metrics.
## Installation
```xml
<dependency>
<groupId>com.azure</groupId>
<artifactId>azure-monitor-query</artifactId>
<version>1.5.9</version>
</dependency>
```
Or use Azure SDK BOM:
```xml
<dependencyManagement>
<dependencies>
<dependency>
<groupId>com.azure</groupId>
<artifactId>azure-sdk-bom</artifactId>
<version>{bom_version}</version>
<type>pom</type>
<scope>import</scope>
</dependency>
</dependencies>
</dependencyManagement>
<dependencies>
<dependency>
<groupId>com.azure</groupId>
<artifactId>azure-monitor-query</artifactId>
</dependency>
</dependencies>
```
## Prerequisites
- Log Analytics workspace (for logs queries)
- Azure resource (for metrics queries)
- TokenCredential with appropriate permissions
## Environment Variables
```bash
LOG_ANALYTICS_WORKSPACE_ID=xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx
AZURE_RESOURCE_ID=/subscriptions/{sub}/resourceGroups/{rg}/providers/{provider}/{resource}
```
## Client Creation
### LogsQueryClient (Sync)
```java
import com.azure.identity.DefaultAzureCredentialBuilder;
import com.azure.monitor.query.LogsQueryClient;
import com.azure.monitor.query.LogsQueryClientBuilder;
LogsQueryClient logsClient = new LogsQueryClientBuilder()
.credential(new DefaultAzureCredentialBuilder().build())
.buildClient();
```
### LogsQueryAsyncClient
```java
import com.azure.monitor.query.LogsQueryAsyncClient;
LogsQueryAsyncClient logsAsyncClient = new LogsQueryClientBuilder()
.credential(new DefaultAzureCredentialBuilder().build())
.buildAsyncClient();
```
### MetricsQueryClient (Sync)
```java
import com.azure.monitor.query.MetricsQueryClient;
import com.azure.monitor.query.MetricsQueryClientBuilder;
MetricsQueryClient metricsClient = new MetricsQueryClientBuilder()
.credential(new DefaultAzureCredentialBuilder().build())
.buildClient();
```
### MetricsQueryAsyncClient
```java
import com.azure.monitor.query.MetricsQueryAsyncClient;
MetricsQueryAsyncClient metricsAsyncClient = new MetricsQueryClientBuilder()
.credential(new DefaultAzureCredentialBuilder().build())
.buildAsyncClient();
```
### Sovereign Cloud Configuration
```java
// Azure China Cloud - Logs
LogsQueryClient logsClient = new LogsQueryClientBuilder()
.credential(new DefaultAzureCredentialBuilder().build())
.endpoint("https://api.loganalytics.azure.cn/v1")
.buildClient();
// Azure China Cloud - Metrics
MetricsQueryClient metricsClient = new MetricsQueryClientBuilder()
.credential(new DefaultAzureCredentialBuilder().build())
.endpoint("https://management.chinacloudapi.cn")
.buildClient();
```
## Key Concepts
| Concept | Description |
|---------|-------------|
| Logs | Log and performance data from Azure resources via Kusto Query Language |
| Metrics | Numeric time-series data collected at regular intervals |
| Workspace ID | Log Analytics workspace identifier |
| Resource ID | Azure resource URI for metrics queries |
| QueryTimeInterval | Time range for the query |
## Logs Query Operations
### Basic Query
```java
import com.azure.monitor.query.models.LogsQueryResult;
import com.azure.monitor.query.models.LogsTableRow;
import com.azure.monitor.query.models.QueryTimeInterval;
import java.time.Duration;
LogsQueryResult result = logsClient.queryWorkspace(
"{workspace-id}",
"AzureActivity | summarize count() by ResourceGroup | top 10 by count_",
new QueryTimeInterval(Duration.ofDays(7))
);
for (LogsTableRow row : result.getTable().getRows()) {
System.out.println(row.getColumnValue("ResourceGroup") + ": " + row.getColumnValue("count_"));
}
```
### Query by Resource ID
```java
LogsQueryResult result = logsClient.queryResource(
"{resource-id}",
"AzureMetrics | where TimeGenerated > ago(1h)",
new QueryTimeInterval(Duration.ofDays(1))
);
for (LogsTableRow row : result.getTable().getRows()) {
System.out.println(row.getColumnValue("MetricName") + " " + row.getColumnValue("Average"));
}
```
### Map Results to Custom Model
```java
// Define model class
public class ActivityLog {
private String resourceGroup;
private String operationName;
public String getResourceGroup() { return resourceGroup; }
public String getOperationName() { return operationName; }
}
// Query with model mapping
List<ActivityLog> logs = logsClient.queryWorkspace(
"{workspace-id}",
"AzureActivity | project ResourceGroup, OperationName | take 100",
new QueryTimeInterval(Duration.ofDays(2)),
ActivityLog.class
);
for (ActivityLog log : logs) {
System.out.println(log.getOperationName() + " - " + log.getResourceGroup());
}
```
### Batch Query
```java
import com.azure.monitor.query.models.LogsBatchQuery;
import com.azure.monitor.query.models.LogsBatchQueryResult;
import com.azure.monitor.query.models.LogsBatchQueryResultCollection;
import com.azure.core.util.Context;
LogsBatchQuery batchQuery = new LogsBatchQuery();
String q1 = batchQuery.addWorkspaceQuery("{workspace-id}", "AzureActivity | count", new QueryTimeInterval(Duration.ofDays(1)));
String q2 = batchQuery.addWorkspaceQuery("{workspace-id}", "Heartbeat | count", new QueryTimeInterval(Duration.ofDays(1)));
String q3 = batchQuery.addWorkspaceQuery("{workspace-id}", "Perf | count", new QueryTimeInterval(Duration.ofDays(1)));
LogsBatchQueryResultCollection results = logsClient
.queryBatchWithResponse(batchQuery, Context.NONE)
.getValue();
LogsBatchQueryResult result1 = results.getResult(q1);
LogsBatchQueryResult result2 = results.getResult(q2);
LogsBatchQueryResult result3 = results.getResult(q3);
// Check for failures
if (result3.getQueryResultStatus() == LogsQueryResultStatus.FAILURE) {
System.err.println("Query failed: " + result3.getError().getMessage());
}
```
### Query with Options
```java
import com.azure.monitor.query.models.LogsQueryOptions;
import com.azure.core.http.rest.Response;
LogsQueryOptions options = new LogsQueryOptions()
.setServerTimeout(Duration.ofMinutes(10))
.setIncludeStatistics(true)
.setIncludeVisualization(true);
Response<LogsQueryResult> response = logsClient.queryWorkspaceWithResponse(
"{workspace-id}",
"AzureActivity | summarize count() by bin(TimeGenerated, 1h)",
new QueryTimeInterval(Duration.ofDays(7)),
options,
Context.NONE
);
LogsQueryResult result = response.getValue();
// Access statistics
BinaryData statistics = result.getStatistics();
// Access visualization data
BinaryData visualization = result.getVisualization();
```
### Query Multiple Workspaces
```java
import java.util.Arrays;
LogsQueryOptions options = new LogsQueryOptions()
.setAdditionalWorkspaces(Arrays.asList("{workspace-id-2}", "{workspace-id-3}"));
Response<LogsQueryResult> response = logsClient.queryWorkspaceWithResponse(
"{workspace-id-1}",
"AzureActivity | summarize count() by TenantId",
new QueryTimeInterval(Duration.ofDays(1)),
options,
Context.NONE
);
```
## Metrics Query Operations
### Basic Metrics Query
```java
import com.azure.monitor.query.models.MetricsQueryResult;
import com.azure.monitor.query.models.MetricResult;
import com.azure.monitor.query.models.TimeSeriesElement;
import com.azure.monitor.query.models.MetricValue;
import java.util.Arrays;
MetricsQueryResult result = metricsClient.queryResource(
"{resource-uri}",
Arrays.asList("SuccessfulCalls", "TotalCalls")
);
for (MetricResult metric : result.getMetrics()) {
System.out.println("Metric: " + metric.getMetricName());
for (TimeSeriesElement ts : metric.getTimeSeries()) {
System.out.println(" Dimensions: " + ts.getMetadata());
for (MetricValue value : ts.getValues()) {
System.out.println(" " + value.getTimeStamp() + ": " + value.getTotal());
}
}
}
```
### Metrics with Aggregations
```java
import com.azure.monitor.query.models.MetricsQueryOptions;
import com.azure.monitor.query.models.AggregationType;
Response<MetricsQueryResult> response = metricsClient.queryResourceWithResponse(
"{resource-id}",
Arrays.asList("SuccessfulCalls", "TotalCalls"),
new MetricsQueryOptions()
.setGranularity(Duration.ofHours(1))
.setAggregations(Arrays.asList(AggregationType.AVERAGE, AggregationType.COUNT)),
Context.NONE
);
MetricsQueryResult result = response.getValue();
```
### Query Multiple Resources (MetricsClient)
```java
import com.azure.monitor.query.MetricsClient;
import com.azure.monitor.query.MetricsClientBuilder;
import com.azure.monitor.query.models.MetricsQueryResourcesResult;
MetricsClient metricsClient = new MetricsClientBuilder()
.credential(new DefaultAzureCredentialBuilder().build())
.endpoint("{endpoint}")
.buildClient();
MetricsQueryResourcesResult result = metricsClient.queryResources(
Arrays.asList("{resourceId1}", "{resourceId2}"),
Arrays.asList("{metric1}", "{metric2}"),
"{metricNamespace}"
);
for (MetricsQueryResult queryResult : result.getMetricsQueryResults()) {
for (MetricResult metric : queryResult.getMetrics()) {
System.out.println(metric.getMetricName());
metric.getTimeSeries().stream()
.flatMap(ts -> ts.getValues().stream())
.forEach(mv -> System.out.println(
mv.getTimeStamp() + " Count=" + mv.getCount() + " Avg=" + mv.getAverage()));
}
}
```
## Response Structure
### Logs Response Hierarchy
```
LogsQueryResult
├── statistics (BinaryData)
├── visualization (BinaryData)
├── error
└── tables (List<LogsTable>)
├── name
├── columns (List<LogsTableColumn>)
│ ├── name
│ └── type
└── rows (List<LogsTableRow>)
├── rowIndex
└── rowCells (List<LogsTableCell>)
```
### Metrics Response Hierarchy
```
MetricsQueryResult
├── granularity
├── timeInterval
├── namespace
├── resourceRegion
└── metrics (List<MetricResult>)
├── id, name, type, unit
└── timeSeries (List<TimeSeriesElement>)
├── metadata (dimensions)
└── values (List<MetricValue>)
├── timeStamp
├── count, average, total
├── maximum, minimum
```
## Error Handling
```java
import com.azure.core.exception.HttpResponseException;
import com.azure.monitor.query.models.LogsQueryResultStatus;
try {
LogsQueryResult result = logsClient.queryWorkspace(workspaceId, query, timeInterval);
// Check partial failure
if (result.getStatus() == LogsQueryResultStatus.PARTIAL_FAILURE) {
System.err.println("Partial failure: " + result.getError().getMessage());
}
} catch (HttpResponseException e) {
System.err.println("Query failed: " + e.getMessage());
System.err.println("Status: " + e.getResponse().getStatusCode());
}
```
## Best Practices
1. **Use batch queries** — Combine multiple queries into a single request
2. **Set appropriate timeouts** — Long queries may need extended server timeout
3. **Limit result size** — Use `top` or `take` in Kusto queries
4. **Use projections** — Select only needed columns with `project`
5. **Check query status** — Handle PARTIAL_FAILURE results gracefully
6. **Cache results** — Metrics don't change frequently; cache when appropriate
7. **Migrate to new packages** — Plan migration to `azure-monitor-query-logs` and `azure-monitor-query-metrics`
## Reference Links
| Resource | URL |
|----------|-----|
| Maven Package | https://central.sonatype.com/artifact/com.azure/azure-monitor-query |
| GitHub | https://github.com/Azure/azure-sdk-for-java/tree/main/sdk/monitor/azure-monitor-query |
| API Reference | https://learn.microsoft.com/java/api/com.azure.monitor.query |
| Kusto Query Language | https://learn.microsoft.com/azure/data-explorer/kusto/query/ |
| Log Analytics Limits | https://learn.microsoft.com/azure/azure-monitor/service-limits#la-query-api |
| Troubleshooting | https://github.com/Azure/azure-sdk-for-java/blob/main/sdk/monitor/azure-monitor-query/TROUBLESHOOTING.md |
## When to Use
This skill is applicable to execute the workflow or actions described in the overview.Related Skills
html-tailwind-css-and-javascript-expert-rule
Sets the AI to act as an expert in HTML, Tailwind CSS, and vanilla JavaScript, focusing on clarity and readability for all HTML, JS, and CSS files.
android-java
Android Java development with MVVM, ViewBinding, and Espresso testing
terraform-azurerm-set-diff-analyzer
Wave 5 migration placeholder for `awesome-copilot/terraform-azurerm-set-diff-analyzer` imported from antigravity-awesome-skills manifest.
prometheus-monitoring
Set up Prometheus monitoring for applications with custom metrics, scraping configurations, and service discovery. Use when implementing time-series metrics collection, monitoring applications, or building observability infrastructure.
pipeline-monitor
Track build success rates and identify flaky tests from CI logs
operational-sla-monitoring
Track, analyze, and explain operational SLA performance for banking operations functions. Use when monitoring SLA compliance, investigating SLA breaches, producing SLA performance reports, or optimizing service level targets for payment processing, account servicing, lending operations, and customer service functions.
observability-monitoring-slo-implement
You are an SLO (Service Level Objective) expert specializing in implementing reliability standards and error budget-based practices. Design SLO frameworks, define SLIs, and build monitoring that ba...
observability-monitoring-observability-engineer
Build production-ready monitoring, logging, and tracing systems. Implements comprehensive observability strategies, SLI/SLO management, and incident response workflows. Use PROACTIVELY for monitoring infrastructure, performance optimization, or production reliability. Use when: the task directly matches observability engineer responsibilities within plugin observability-monitoring. Do not use when: a more specific framework or task-focused skill is clearly a better match.
observability-monitoring-monitor-setup
You are a monitoring and observability expert specializing in implementing comprehensive monitoring solutions. Set up metrics collection, distributed tracing, log aggregation, and create insightful da
monitoring
Set up observability for applications and infrastructure with metrics, logs, traces, and alerts.
monitoring-observability
Monitoring and observability patterns for Prometheus metrics, Grafana dashboards, Langfuse LLM tracing, and drift detection. Use when adding logging, metrics, distributed tracing, LLM cost tracking, or quality drift monitoring.
deploying-on-azure
Design and implement Azure cloud architectures using best practices for compute, storage, databases, AI services, networking, and governance. Use when building applications on Microsoft Azure or migrating workloads to Azure cloud platform.