適用於 JavaScript 的 Azure 監視器 OpenTelemetry 匯出工具用戶端連結庫 - 1.0.0-beta.29 版
開始
此匯出工具套件假設您的應用程式已使用 OpenTelemetry SDK 來檢測
安裝套件
npm install @azure/monitor-opentelemetry-exporter
目前支持的環境
如需詳細資訊,請參閱我們的 支持原則。
警告: 此 SDK 僅適用於 Node.js 環境。 針對瀏覽器環境使用 Application Insights JavaScript SDK。
先決條件
分散式追蹤
將匯出工具新增至您現有的 OpenTelemetry 追蹤提供者 (NodeTracerProvider
/ BasicTracerProvider
)
import { AzureMonitorTraceExporter } from "@azure/monitor-opentelemetry-exporter";
import { NodeTracerProvider, BatchSpanProcessor } from "@opentelemetry/sdk-trace-node";
import { Resource } from "@opentelemetry/resources";
import { ATTR_SERVICE_NAME } from "@opentelemetry/semantic-conventions";
// Create an exporter instance
const exporter = new AzureMonitorTraceExporter({
connectionString: "<connection string>",
});
// Create and configure the Node Tracer provider
const tracerProvider = new NodeTracerProvider({
resource: new Resource({
[ATTR_SERVICE_NAME]: "basic-service",
}),
spanProcessors: [
new BatchSpanProcessor(exporter, {
exportTimeoutMillis: 15000,
maxQueueSize: 1000,
}),
],
});
// Register Tracer Provider as global
tracerProvider.register();
指標
將匯出工具新增至您現有的 OpenTelemetry 計量提供者(MeterProvider
)
import { AzureMonitorMetricExporter } from "@azure/monitor-opentelemetry-exporter";
import { PeriodicExportingMetricReader, MeterProvider } from "@opentelemetry/sdk-metrics";
import { metrics } from "@opentelemetry/api";
// Add the exporter into the MetricReader and register it with the MeterProvider
const exporter = new AzureMonitorMetricExporter({
connectionString: "<connection string>",
});
const metricReaderOptions = {
exporter: exporter,
};
const metricReader = new PeriodicExportingMetricReader(metricReaderOptions);
const meterProvider = new MeterProvider({
readers: [metricReader],
});
// Register Meter Provider as global
metrics.setGlobalMeterProvider(meterProvider);
原木
將記錄匯出工具新增至您現有的 OpenTelemetry Logger 提供者 (LoggerProvider
)
import { AzureMonitorLogExporter } from "@azure/monitor-opentelemetry-exporter";
import { BatchLogRecordProcessor, LoggerProvider } from "@opentelemetry/sdk-logs";
import { logs } from "@opentelemetry/api-logs";
// Add the Log exporter into the logRecordProcessor and register it with the LoggerProvider
const exporter = new AzureMonitorLogExporter({
connectionString: "<connection string>",
});
const logRecordProcessor = new BatchLogRecordProcessor(exporter);
const loggerProvider = new LoggerProvider();
loggerProvider.addLogRecordProcessor(logRecordProcessor);
// Register logger Provider as global
logs.setGlobalLoggerProvider(loggerProvider);
採樣
您可以啟用取樣來限制您收到的遙測記錄數量。 若要在 Application Insights 中啟用正確的取樣,請使用 ApplicationInsightsSampler
,如下所示。
import { ApplicationInsightsSampler } from "@azure/monitor-opentelemetry-exporter";
import { NodeTracerProvider } from "@opentelemetry/sdk-trace-node";
import { Resource } from "@opentelemetry/resources";
import { ATTR_SERVICE_NAME } from "@opentelemetry/semantic-conventions";
// Sampler expects a sample rate of between 0 and 1 inclusive
// A rate of 0.75 means approximately 75 % of your traces will be sent
const aiSampler = new ApplicationInsightsSampler(0.75);
const provider = new NodeTracerProvider({
sampler: aiSampler,
resource: new Resource({
[ATTR_SERVICE_NAME]: "basic-service",
}),
});
provider.register();
例子
如需幾個冠軍案例的完整範例,請參閱 samples/
資料夾。
重要概念
如需 OpenTelemetry 專案的詳細資訊,請檢閱 OpenTelemetry 規格。
故障排除
啟用偵錯記錄
您可以變更提供者的記錄層級來啟用偵錯記錄。
import { NodeTracerProvider } from "@opentelemetry/sdk-trace-node";
import { diag, DiagConsoleLogger, DiagLogLevel } from "@opentelemetry/api";
const provider = new NodeTracerProvider();
diag.setLogger(new DiagConsoleLogger(), DiagLogLevel.ALL);
provider.register();
伐木
啟用 Azure 記錄也有助於找出有關失敗的實用資訊。 若要查看 HTTP 要求和回應的記錄,請將 AZURE_LOG_LEVEL
環境變數設定為 info
。 或者,您可以在運行時間啟用記錄,方法是在 setLogLevel
中呼叫 @azure/logger
:
import { setLogLevel } from "@azure/logger";
setLogLevel("info");
如需如何啟用記錄的詳細指示,請參閱
後續步驟
此導出工具會與 OpenTelemetry JS搭配使用。
外掛程式登錄
若要查看您正在使用的連結庫是否已建立外掛程式,請參閱 OpenTelemetry Registry。
如果您無法在登錄中連結庫,請放心地在 opentelemetry-js-contrib
建議新的外掛程式要求。
貢獻
如果您想要參與此連結庫,請閱讀 參與指南,以深入瞭解如何建置和測試程序代碼。