Invia le metriche SDK alla console utilizzando il AWS SDK for Java 2.x - AWS SDK for Java 2.x

Le traduzioni sono generate tramite traduzione automatica. In caso di conflitto tra il contenuto di una traduzione e la versione originale in Inglese, quest'ultima prevarrà.

Invia le metriche SDK alla console utilizzando il AWS SDK for Java 2.x

L'LoggingMetricPublisherimplementazione invia le metriche direttamente nella console o nei file di registro dell'applicazione. Questo approccio è ideale per lo sviluppo, il debug e la comprensione dei parametri raccolti dall'SDK senza richiedere servizi esterni come Amazon. CloudWatch

A differenza di CloudWatchMetricPublisher andEmfMetricLoggingPublisher, LoggingMetricPublisher fornisce un output immediato senza ritardi o dipendenze esterne. Ciò lo rende perfetto per lo sviluppo locale e gli scenari di risoluzione dei problemi.

Quando usare LoggingMetricPublisher

Da utilizzare LoggingMetricPublisher quando è necessario:

  • Raccolta di metriche di debug durante lo sviluppo

  • Scopri quali metriche raccoglie l'SDK per le tue operazioni

  • Risolvi i problemi di prestazioni a livello locale

  • Testa la raccolta di metriche senza dipendenze da servizi esterni

  • Visualizza immediatamente le metriche nella tua console o nei file di registro

Nota

LoggingMetricPublishernon è consigliato per ambienti di produzione in cui sono necessarie funzionalità persistenti di analisi e archiviazione delle metriche.

Configura la registrazione da console per le metriche

Per visualizzare l'LoggingMetricPublisheroutput, configura il framework di registrazione per visualizzare INFO i messaggi di livello. La seguente log4j2.xml configurazione assicura che le metriche vengano visualizzate nella console:

<?xml version="1.0" encoding="UTF-8"?> <Configuration status="WARN"> <Appenders> <Console name="ConsoleAppender" target="SYSTEM_OUT"> <PatternLayout pattern="%d{HH:mm:ss.SSS} [%t] %-5level %logger{36} - %msg%n"/> </Console> </Appenders> <Loggers> <Root level="INFO"> <AppenderRef ref="ConsoleAppender"/> </Root> <!-- Ensure LoggingMetricPublisher output appears. --> <Logger name="software.amazon.awssdk.metrics.LoggingMetricPublisher" level="INFO" /> </Loggers> </Configuration>

Questa configurazione indirizza l'SDK a inviare le metriche alla console a livello. INFO La configurazione del LoggingMetricPublisher logger assicura che l'output metrico venga visualizzato anche se il logger root utilizza un livello superiore come o. WARN ERROR

Abilita le metriche della console per un client di servizio

L'esempio seguente mostra come creare LoggingMetricPublisher e utilizzare un client Amazon Simple Storage Service:

import software.amazon.awssdk.metrics.LoggingMetricPublisher; import software.amazon.awssdk.metrics.MetricPublisher; import software.amazon.awssdk.regions.Region; import software.amazon.awssdk.services.s3.S3Client; // Create a LoggingMetricPublisher with default settings. MetricPublisher metricPublisher = LoggingMetricPublisher.create(); // Add the publisher to your service client. S3Client s3Client = S3Client.builder() .region(Region.US_EAST_1) .overrideConfiguration(config -> config.addMetricPublisher(metricPublisher)) .build(); // Make requests - metrics will appear in your console. s3Client.listBuckets(); // Clean up resources. metricPublisher.close(); s3Client.close();

Scegli il formato di output metrico

LoggingMetricPublishersupporta due formati di output:

  • Formato PLAIN (predefinito): restituisce le metriche come voci compatte a riga singola

  • Formato PRETTY: emette le metriche in un formato multilinea leggibile dall'uomo

L'esempio seguente mostra come utilizzare il formato PRETTY per facilitare la lettura durante lo sviluppo:

import org.slf4j.event.Level; import software.amazon.awssdk.metrics.LoggingMetricPublisher; // Create a LoggingMetricPublisher with PRETTY format. MetricPublisher prettyMetricPublisher = LoggingMetricPublisher.create( Level.INFO, LoggingMetricPublisher.Format.PRETTY ); // Use with your service client. S3Client s3Client = S3Client.builder() .region(Region.US_EAST_1) .overrideConfiguration(config -> config.addMetricPublisher(prettyMetricPublisher)) .build();

Esempio completo

L'esempio seguente dimostra l'utilizzo LoggingMetricPublisher in due modi:

  • A livello di cliente del servizio

  • Per una singola richiesta

import org.slf4j.Logger; import org.slf4j.LoggerFactory; import org.slf4j.event.Level; import software.amazon.awssdk.metrics.LoggingMetricPublisher; import software.amazon.awssdk.metrics.MetricPublisher; import software.amazon.awssdk.regions.Region; import software.amazon.awssdk.services.s3.S3Client; import software.amazon.awssdk.services.s3.model.ListBucketsRequest; import software.amazon.awssdk.services.s3.model.ListBucketsResponse; /** * Demonstrates how to use LoggingMetricPublisher with AWS S3 SDK for Java 2.x. * <p> * This demo focuses on the S3 listBuckets operation to show how metrics are collected * and logged to the console for development and debugging purposes. * <p> * LoggingMetricPublisher is ideal for: * - Development and debugging * - Console output for troubleshooting * - Understanding what metrics are being collected * - Testing metric collection without external dependencies */ public class S3LoggingMetricPublisherDemo { private static final Logger logger = LoggerFactory.getLogger(S3LoggingMetricPublisherDemo.class); public static void main(String[] args) { S3LoggingMetricPublisherDemo demo = new S3LoggingMetricPublisherDemo(); demo.demonstrateUsage(); } /** * Demonstrates basic usage with S3Client and metrics enabled at the client level. */ private void demonstrateUsage() { // Create a LoggingMetricPublisher with default settings. The SDK logs metrics as text in a single line. // The default settings are equivalent to using `LoggingMetricPublisher.Format.PLAIN`. MetricPublisher metricPublisher = LoggingMetricPublisher.create(); // Create an S3 client with metrics enabled. try (S3Client s3Client = S3Client.builder() .region(Region.US_EAST_1) .overrideConfiguration(config -> config.addMetricPublisher(metricPublisher)) .build()) { // Make the listBuckets request - metrics will be logged to console. ListBucketsResponse response = s3Client.listBuckets(ListBucketsRequest.builder().build()); // The next block shows the using a different LoggingMetricPublisher with a `PRETTY` format. // Since the metric publisher is added to the request using the `overrideConfiguration`, this formatting // applies only to the one request. try { s3Client.listBuckets(ListBucketsRequest.builder() .overrideConfiguration(config -> config .addMetricPublisher(LoggingMetricPublisher.create( Level.INFO, LoggingMetricPublisher.Format.PRETTY))) .build()); } catch (Exception e) { logger.info("Request failed with metrics logged: {}", e.getMessage()); } logger.info("Found {} buckets in your AWS account.", response.buckets().size()); } catch (Exception e) { logger.error("Error during S3 operation: {}", e.getMessage()); logger.info("Note: This is expected if AWS credentials are not configured."); } // Close the metric publisher to flush any remaining metrics. metricPublisher.close(); } }

Il codice registra quanto segue nella console:

INFO LoggingMetricPublisher - Metrics published: MetricCollection(name=ApiCall, metrics=[MetricRecord(metric=MarshallingDuration, value=PT0.005409792S), MetricRecord(metric=RetryCount, value=0), MetricRecord(metric=ApiCallSuccessful, value=true), MetricRecord(metric=OperationName, value=ListBuckets), MetricRecord(metric=EndpointResolveDuration, value=PT0.000068S), MetricRecord(metric=ApiCallDuration, value=PT0.163802958S), MetricRecord(metric=CredentialsFetchDuration, value=PT0.145686542S), MetricRecord(metric=ServiceEndpoint, value=https://s3.amazonaws.com), MetricRecord(metric=ServiceId, value=S3)], children=[MetricCollection(name=ApiCallAttempt, metrics=[MetricRecord(metric=TimeToFirstByte, value=PT0.138816S), MetricRecord(metric=SigningDuration, value=PT0.007803459S), MetricRecord(metric=ReadThroughput, value=165153.96002660287), MetricRecord(metric=ServiceCallDuration, value=PT0.138816S), MetricRecord(metric=AwsExtendedRequestId, value=e13Swj3uwn0qP1Oz+m7II5OGq7jf8xxT8H18iDfRBCQmDg+gU4ek91Xrsl8XxRLROlIzCAPQtsQF0DAAWOb8ntuKCzX2AJdj), MetricRecord(metric=HttpStatusCode, value=200), MetricRecord(metric=BackoffDelayDuration, value=PT0S), MetricRecord(metric=TimeToLastByte, value=PT0.148915667S), MetricRecord(metric=AwsRequestId, value=78AW9BM7SWR6YMGB)], children=[MetricCollection(name=HttpClient, metrics=[MetricRecord(metric=MaxConcurrency, value=50), MetricRecord(metric=AvailableConcurrency, value=0), MetricRecord(metric=LeasedConcurrency, value=1), MetricRecord(metric=ConcurrencyAcquireDuration, value=PT0.002623S), MetricRecord(metric=PendingConcurrencyAcquires, value=0), MetricRecord(metric=HttpClientName, value=Apache)], children=[])])]) INFO LoggingMetricPublisher - [4e6f2bb5] ApiCall INFO LoggingMetricPublisher - [4e6f2bb5] ┌──────────────────────────────────────────┐ INFO LoggingMetricPublisher - [4e6f2bb5] │ MarshallingDuration=PT0.000063S │ INFO LoggingMetricPublisher - [4e6f2bb5] │ RetryCount=0 │ INFO LoggingMetricPublisher - [4e6f2bb5] │ ApiCallSuccessful=true │ INFO LoggingMetricPublisher - [4e6f2bb5] │ OperationName=ListBuckets │ INFO LoggingMetricPublisher - [4e6f2bb5] │ EndpointResolveDuration=PT0.000024375S │ INFO LoggingMetricPublisher - [4e6f2bb5] │ ApiCallDuration=PT0.018463083S │ INFO LoggingMetricPublisher - [4e6f2bb5] │ CredentialsFetchDuration=PT0.000022334S │ INFO LoggingMetricPublisher - [4e6f2bb5] │ ServiceEndpoint=https://s3.amazonaws.com │ INFO LoggingMetricPublisher - [4e6f2bb5] │ ServiceId=S3 │ INFO LoggingMetricPublisher - [4e6f2bb5] └──────────────────────────────────────────┘ INFO LoggingMetricPublisher - [4e6f2bb5] ApiCallAttempt INFO LoggingMetricPublisher - [4e6f2bb5] ┌───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┐ INFO LoggingMetricPublisher - [4e6f2bb5] │ TimeToFirstByte=PT0.0165575S │ INFO LoggingMetricPublisher - [4e6f2bb5] │ SigningDuration=PT0.000301125S │ INFO LoggingMetricPublisher - [4e6f2bb5] │ ReadThroughput=1195591.792850103 │ INFO LoggingMetricPublisher - [4e6f2bb5] │ ServiceCallDuration=PT0.0165575S │ INFO LoggingMetricPublisher - [4e6f2bb5] │ AwsExtendedRequestId=3QI1eenRuokdszWqZBmBMDUmko6FlSmHkM+CUMNMeLor7gJml4D4lv6QXUZ1zWoTgG+tHbr6yo2vHdz4h1P8PDovvtMFRCeB │ INFO LoggingMetricPublisher - [4e6f2bb5] │ HttpStatusCode=200 │ INFO LoggingMetricPublisher - [4e6f2bb5] │ BackoffDelayDuration=PT0S │ INFO LoggingMetricPublisher - [4e6f2bb5] │ TimeToLastByte=PT0.017952625S │ INFO LoggingMetricPublisher - [4e6f2bb5] │ AwsRequestId=78AVFAF795AAWAXH │ INFO LoggingMetricPublisher - [4e6f2bb5] └───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┘ INFO LoggingMetricPublisher - [4e6f2bb5] HttpClient INFO LoggingMetricPublisher - [4e6f2bb5] ┌───────────────────────────────────────┐ INFO LoggingMetricPublisher - [4e6f2bb5] │ MaxConcurrency=50 │ INFO LoggingMetricPublisher - [4e6f2bb5] │ AvailableConcurrency=0 │ INFO LoggingMetricPublisher - [4e6f2bb5] │ LeasedConcurrency=1 │ INFO LoggingMetricPublisher - [4e6f2bb5] │ ConcurrencyAcquireDuration=PT0.00004S │ INFO LoggingMetricPublisher - [4e6f2bb5] │ PendingConcurrencyAcquires=0 │ INFO LoggingMetricPublisher - [4e6f2bb5] │ HttpClientName=Apache │ INFO LoggingMetricPublisher - [4e6f2bb5] └───────────────────────────────────────┘ INFO S3LoggingMetricPublisherDemo - Found 6 buckets in your AWS account.

File Maven pom.xml

<?xml version="1.0" encoding="UTF-8"?> <project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd"> <modelVersion>4.0.0</modelVersion> <groupId>com.example</groupId> <artifactId>s3-logging-metric-publisher-demo</artifactId> <version>1.0.0</version> <packaging>jar</packaging> <name>AWS S3 LoggingMetricPublisher Demo</name> <description>Demonstrates how to use LoggingMetricPublisher with AWS S3 SDK for Java 2.x</description> <properties> <maven.compiler.source>17</maven.compiler.source> <maven.compiler.target>17</maven.compiler.target> <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding> <aws.java.sdk.version>2.31.66</aws.java.sdk.version> <log4j.version>2.24.3</log4j.version> </properties> <dependencyManagement> <dependencies> <!-- AWS SDK BOM for dependency management --> <dependency> <groupId>software.amazon.awssdk</groupId> <artifactId>bom</artifactId> <version>${aws.java.sdk.version}</version> <type>pom</type> <scope>import</scope> </dependency> <!-- Log4j BOM for logging dependency management --> <dependency> <groupId>org.apache.logging.log4j</groupId> <artifactId>log4j-bom</artifactId> <version>${log4j.version}</version> <type>pom</type> <scope>import</scope> </dependency> </dependencies> </dependencyManagement> <dependencies> <!-- AWS S3 SDK for demonstration --> <dependency> <groupId>software.amazon.awssdk</groupId> <artifactId>s3</artifactId> </dependency> <!-- Log4j2 SLF4J implementation --> <dependency> <groupId>org.apache.logging.log4j</groupId> <artifactId>log4j-slf4j2-impl</artifactId> </dependency> <!-- Log4j2 Core --> <dependency> <groupId>org.apache.logging.log4j</groupId> <artifactId>log4j-core</artifactId> </dependency> </dependencies> <build> <plugins> <plugin> <groupId>org.apache.maven.plugins</groupId> <artifactId>maven-compiler-plugin</artifactId> <version>3.13.0</version> <configuration> <source>17</source> <target>17</target> </configuration> </plugin> </plugins> </build> </project>

Log4j2.xmlfile di configurazione

<?xml version="1.0" encoding="UTF-8"?> <Configuration status="WARN"> <Appenders> <Console name="ConsoleAppender" target="SYSTEM_OUT"> <PatternLayout pattern="%d{HH:mm:ss.SSS} [%t] %-5level %logger{36} - %msg%n"/> </Console> </Appenders> <Loggers> <Root level="INFO"> <AppenderRef ref="ConsoleAppender"/> </Root> <!-- Ensure LoggingMetricPublisher output appears. --> <Logger name="software.amazon.awssdk.metrics.LoggingMetricPublisher" level="INFO"/> </Loggers> </Configuration>

Le metriche includono informazioni sulla tempistica, dettagli del servizio, nomi delle operazioni e codici di stato HTTP che consentono di comprendere i modelli di utilizzo delle AWS API dell'applicazione.

Passaggi successivi

Dopo l'utilizzo LoggingMetricPublisher per lo sviluppo e il debug, considera queste opzioni per gli ambienti di produzione:

  • Per le applicazioni a lunga durata, utilizzalo CloudWatchMetricPublisherper inviare metriche ad Amazon CloudWatch per analisi e avvisi

  • Per quanto riguarda AWS Lambda le funzioni, utilizza per EmfMetricLoggingPublisherpubblicare le metriche in formato Embedded Metric CloudWatch