azure-monitor-query-java
Run Kusto queries against Log Analytics and fetch metrics using the Azure Monitor Query Java SDK.
Install
mkdir -p .claude/skills/azure-monitor-query-java && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/8522" && unzip -o skill.zip -d .claude/skills/azure-monitor-query-java && rm skill.zipInstalls to .claude/skills/azure-monitor-query-java
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Azure Monitor Query SDK for Java. Execute Kusto queries against Log Analytics workspaces and query metrics from Azure resources. Triggers: "LogsQueryClient java", "MetricsQueryClient java", "kusto query java", "log analytics java", "azure monitor query java". Note: This package is deprecated. Migrate to azure-monitor-query-logs and azure-monitor-query-metrics.Key capabilities
- →Execute Kusto queries against Log Analytics workspaces
- →Retrieve metrics from Azure resources
- →Perform batch queries for multiple workspaces
- →Map query results to custom Java models
- →Handle partial failures in query responses
How it works
The SDK provides client classes that authenticate via TokenCredential to send KQL queries to Azure Monitor endpoints and return structured result sets.
Inputs & outputs
When to use azure-monitor-query-java
- →Run Kusto queries to analyze system logs
- →Retrieve Azure resource metrics for reporting
- →Fetch log analytics data into Java applications
About this skill
Azure Monitor Query SDK for Java
DEPRECATION NOTICE: This package is deprecated in favor of:
azure-monitor-query-logs— For Log Analytics queriesazure-monitor-query-metrics— For metrics queriesSee migration guides: Logs Migration | Metrics Migration
Client library for querying Azure Monitor Logs and Metrics.
Installation
<dependency>
<groupId>com.azure</groupId>
<artifactId>azure-monitor-query</artifactId>
<version>1.5.9</version>
</dependency>
Or use Azure SDK BOM:
<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
LOG_ANALYTICS_WORKSPACE_ID=xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx # Required for Log Analytics workspace queries
AZURE_RESOURCE_ID=/subscriptions/{sub}/resourceGroups/{rg}/providers/{provider}/{resource} # Required for metrics queries against a resource
AZURE_TOKEN_CREDENTIALS=prod # Required only if DefaultAzureCredential is used in production
Client Creation
LogsQueryClient (Sync)
import com.azure.core.credential.TokenCredential;
import com.azure.identity.AzureIdentityEnvVars;
import com.azure.identity.DefaultAzureCredentialBuilder;
import com.azure.identity.ManagedIdentityCredentialBuilder;
import com.azure.monitor.query.LogsQueryClient;
import com.azure.monitor.query.LogsQueryClientBuilder;
// Local dev: DefaultAzureCredential. Production: set AZURE_TOKEN_CREDENTIALS=prod or AZURE_TOKEN_CREDENTIALS=<specific_credential>
TokenCredential credential = new DefaultAzureCredentialBuilder()
.requireEnvVars(AzureIdentityEnvVars.AZURE_TOKEN_CREDENTIALS)
.build();
// Or use a specific credential directly in production:
// See https://learn.microsoft.com/java/api/overview/azure/identity-readme?view=azure-java-stable#credential-classes
// TokenCredential credential = new ManagedIdentityCredentialBuilder().build();
LogsQueryClient logsClient = new LogsQueryClientBuilder()
.credential(credential)
.buildClient();
LogsQueryAsyncClient
import com.azure.monitor.query.LogsQueryAsyncClient;
LogsQueryAsyncClient logsAsyncClient = new LogsQueryClientBuilder()
.credential(credential)
.buildAsyncClient();
MetricsQueryClient (Sync)
import com.azure.monitor.query.MetricsQueryClient;
import com.azure.monitor.query.MetricsQueryClientBuilder;
MetricsQueryClient metricsClient = new MetricsQueryClientBuilder()
.credential(credential)
.buildClient();
MetricsQueryAsyncClient
import com.azure.monitor.query.MetricsQueryAsyncClient;
MetricsQueryAsyncClient metricsAsyncClient = new MetricsQueryClientBuilder()
.credential(credential)
.buildAsyncClient();
Sovereign Cloud Configuration
// Azure China Cloud - Logs
LogsQueryClient logsClient = new LogsQueryClientBuilder()
.credential(credential)
.endpoint("https://api.loganalytics.azure.cn/v1")
.buildClient();
// Azure China Cloud - Metrics
MetricsQueryClient metricsClient = new MetricsQueryClientBuilder()
.credential(credential)
.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
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
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
// 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
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
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
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
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
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)
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().b
---
*Content truncated.*
When not to use it
- →New development projects (use newer packages)
- →Scenarios requiring latest SDK features
Prerequisites
Limitations
- →Package is deprecated
- →Requires migration to newer specific packages
How it compares
It provides a programmatic Java interface for Azure Monitor data instead of manual REST API calls or portal-based querying.
Compared to similar skills
azure-monitor-query-java side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| azure-monitor-query-java (this skill) | 0 | 3mo | Review | Intermediate |
| neqsim-depressurization-mdmt | 0 | 1mo | Review | Advanced |
| common-technical-practices | 2 | 3mo | No flags | Intermediate |
| azure-ai-anomalydetector-java | 0 | 3mo | Review | Intermediate |
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