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azure-monitor-query-java

Azure Monitor Query SDK for Java. Execute Kusto queries against Log Analytics workspaces and query metrics from Azure resources.

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Azure Monitor Query SDK for Java. Execute Kusto queries against Log Analytics workspaces and query metrics from Azure resources.

最后校验2026-05-27
来源平台GitHub
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  • 让 AI 在特定场景下按统一规范执行。
  • 为团队或个人工作流提供可复制的任务说明。

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输出:按 Skill 说明生成的文档、代码、检查结果、计划、建议或操作步骤。

示例任务

  • 使用 azure-monitor-query-java 帮我处理当前任务,并说明执行前需要确认的输入。
  • 根据 azure-monitor-query-java 的说明,给我一个安全的使用步骤清单。

安装方式

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  3. 如需在线查看原始内容,可打开 GitHub 的 SKILL.md

在线原始地址:azure-monitor-query-java/SKILL.md

风险边界

使用前请检查权限、外部依赖和要处理的数据类型。不要把密码、密钥、身份信息或敏感客户资料交给未经确认的 Skill。

SKILL.md 文档介绍

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 | 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
AZURE_RESOURCE_ID=/subscriptions/{sub}/resourceGroups/{rg}/providers/{provider}/{resource}

Client Creation

LogsQueryClient (Sync)

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

import com.azure.monitor.query.LogsQueryAsyncClient;

LogsQueryAsyncClient logsAsyncClient = new LogsQueryClientBuilder()
    .credential(new DefaultAzureCredentialBuilder().build())
    .buildAsyncClient();

MetricsQueryClient (Sync)

import com.azure.monitor.query.MetricsQueryClient;
import com.azure.monitor.query.MetricsQueryClientBuilder;

MetricsQueryClient metricsClient = new MetricsQueryClientBuilder()
    .credential(new DefaultAzureCredentialBuilder().build())
    .buildClient();

MetricsQueryAsyncClient

import com.azure.monitor.query.MetricsQueryAsyncClient;

MetricsQueryAsyncClient metricsAsyncClient = new MetricsQueryClientBuilder()
    .credential(new DefaultAzureCredentialBuilder().build())
    .buildAsyncClient();

Sovereign Cloud Configuration

// 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

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().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

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.

Limitations

  • Use this skill only when the task clearly matches the scope described above.
  • Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
  • Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
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