无法获取应用程序默认凭据。在本地运行

问题描述 投票：2回答：1

现在我正在尝试下面的示例，以从DataFlow的GCP Pub / Sub检索数据。

https://codelabs.developers.google.com/codelabs/cpb101-bigquery-dataflow-streaming/index.html?index=..%2F..%2Fnext17#5

import java.io.FileInputStream;
import java.io.FileNotFoundException;
import java.io.IOException;
import java.time.Instant;
import java.util.ArrayList;
import java.util.List;

import avro.shaded.com.google.common.collect.Lists;
import com.google.auth.oauth2.GoogleCredentials;
import org.apache.beam.runners.dataflow.options.DataflowPipelineOptions;
import org.apache.beam.sdk.Pipeline;
import org.apache.beam.sdk.io.gcp.bigquery.BigQueryIO;
import org.apache.beam.sdk.io.gcp.pubsub.PubsubIO;
import org.apache.beam.sdk.options.Default;
import org.apache.beam.sdk.options.Description;
import org.apache.beam.sdk.options.PipelineOptionsFactory;
import org.apache.beam.sdk.transforms.DoFn;
import org.apache.beam.sdk.transforms.ParDo;
import org.apache.beam.sdk.transforms.Sum;
import org.apache.beam.sdk.transforms.windowing.SlidingWindows;
import org.apache.beam.sdk.transforms.windowing.Window;
import org.joda.time.Duration;

import com.google.api.services.bigquery.model.TableFieldSchema;
import com.google.api.services.bigquery.model.TableRow;
import com.google.api.services.bigquery.model.TableSchema;

public class StreamDemoConsumer {

    public static interface MyOptions extends DataflowPipelineOptions {
        @Description("Output BigQuery table <project_id>:<dataset_id>.<table_id>")
        @Default.String("coexon-seoul-dev:ledger_data_set.ledger_data2")
        String getOutput();

        void setOutput(String s);

        @Description("Input topic")
        @Default.String("projects/coexon-seoul-dev/topics/trading")
        String getInput();

        void setInput(String s);
    }

    @SuppressWarnings("serial")
    public static void main(String[] args) throws IOException {

        MyOptions options = PipelineOptionsFactory.fromArgs(args).withValidation().as(MyOptions.class);

        options.setStreaming(true);
        Pipeline p = Pipeline.create(options);


        String topic = options.getInput();
        String output = options.getOutput();

        // Build the table schema for the output table.
        List<TableFieldSchema> fields = new ArrayList<>();
        fields.add(new TableFieldSchema().setName("timestamp").setType("TIMESTAMP"));
        fields.add(new TableFieldSchema().setName("num_words").setType("INTEGER"));
        TableSchema schema = new TableSchema().setFields(fields);

        p //
                .apply("GetMessages", PubsubIO.readStrings().fromTopic(topic)) //
                .apply("window",
                        Window.into(SlidingWindows//
                                .of(Duration.standardMinutes(2))//
                                .every(Duration.standardSeconds(30)))) //
                .apply("WordsPerLine", ParDo.of(new DoFn<String, Integer>() {
                    @ProcessElement
                    public void processElement(ProcessContext c) throws Exception {
                        String line = c.element();
                        c.output(line.split(" ").length);
                    }
                }))//
                .apply("WordsInTimeWindow", Sum.integersGlobally().withoutDefaults()) //
                .apply("ToBQRow", ParDo.of(new DoFn<Integer, TableRow>() {
                    @ProcessElement
                    public void processElement(ProcessContext c) throws Exception {
                        TableRow row = new TableRow();
                        row.set("timestamp", Instant.now().toString());
                        row.set("num_words", c.element());
                        c.output(row);
                    }
                })) //
                .apply(BigQueryIO.writeTableRows().to(output)//
                        .withSchema(schema)//
                        .withWriteDisposition(BigQueryIO.Write.WriteDisposition.WRITE_APPEND)
                        .withCreateDisposition(BigQueryIO.Write.CreateDisposition.CREATE_IF_NEEDED));

        p.run();
    }
}

我使用以下命令运行此代码。

sh run_oncloud4.sh coexon-seoul-dev ledgerbucket

然后代码运行良好

如下所示的run_oncloud4.sh

#!/bin/bash

if [ "$#" -ne 2 ]; then
   echo "Usage:   ./run_oncloud.sh project-name  bucket-name"
   echo "Example: ./run_oncloud.sh cloud-training-demos  cloud-training-demos"
   exit
fi

PROJECT=$1
BUCKET=$2
MAIN=com.google.cloud.training.dataanalyst.javahelp.StreamDemoConsumer

echo "project=$PROJECT  bucket=$BUCKET  main=$MAIN"

export PATH=/usr/lib/jvm/java-8-openjdk-amd64/bin/:$PATH
mvn compile -e exec:java \
 -Dexec.mainClass=$MAIN \
      -Dexec.args="--project=$PROJECT \
      --stagingLocation=gs://$BUCKET/staging/ \
      --tempLocation=gs://$BUCKET/staging/ \
      --output=$PROJECT:demos.streamdemo \
      --input=projects/$PROJECT/topics/streamdemo \
      --runner=DataflowRunner"

但是我像下面那样运行uppercode

sh run_locally.sh com.google.cloud.training.dataanalyst.javahelp.StreamDemoConsumer

然后无法获得应用程序默认凭据错误消息。

SLF4J：无法加载类“ org.slf4j.impl.StaticLoggerBinder”。SLF4J：默认为无操作（NOP）记录器实现SLF4J：有关更多详细信息，请参见http://www.slf4j.org/codes.html#StaticLoggerBinder。线程“主”中的异常java.lang.RuntimeException：无法获取应用程序默认凭据。有关如何指定凭据的详细信息，请参见https://developers.google.com/accounts/docs/application-default-credentials。此版本的SDK依赖于gcloud核心组件版本2015.02.05或更高版本，才能通过gcloud auth从当前授权的用户获取凭据。在org.apache.beam.sdk.extensions.gcp.auth.NullCredentialInitializer.throwNullCredentialException（NullCredentialInitializer.java:60）在org.apache.beam.sdk.extensions.gcp.auth.NullCredentialInitializer $ NullCredentialHttpUnsuccessfulResponseHandler.handleResponse（NullCredentialInitializer.java:53）处在com.google.cloud.hadoop.util.ChainingHttpRequestInitializer $ 3.handleResponse（ChainingHttpRequestInitializer.java:111）在com.google.api.client.http.HttpRequest.execute（HttpRequest.java:1015）com.google.api.client.googleapis.services.AbstractGoogleClientRequest.executeUnparsed（AbstractGoogleClientRequest.java:419）com.google.api.client.googleapis.services.AbstractGoogleClientRequest.executeUnparsed（AbstractGoogleClientRequest.java:352）com.google.api.client.googleapis.services.AbstractGoogleClientRequest.execute（AbstractGoogleClientRequest.java:469）在org.apache.beam.sdk.io.gcp.bigquery.BigQueryServicesImpl.executeWithRetries（BigQueryServicesImpl.java:854）在org.apache.beam.sdk.io.gcp.bigquery.BigQueryServicesImpl $ DatasetServiceImpl.getDataset（BigQueryServicesImpl.java:554）在org.apache.beam.sdk.io.gcp.bigquery.BigQueryHelpers.verifyDatasetPresence（BigQueryHelpers.java:196）在org.apache.beam.sdk.io.gcp.bigquery.BigQueryIO $ Write.validate（BigQueryIO.java:1486）在org.apache.beam.sdk.Pipeline $ ValidateVisitor.enterCompositeTransform（Pipeline.java:640）在org.apache.beam.sdk.runners.TransformHierarchy $ Node.visit（TransformHierarchy.java:656）在org.apache.beam.sdk.runners.TransformHierarchy $ Node.visit（TransformHierarchy.java:660）位于org.apache.beam.sdk.runners.TransformHierarchy $ Node.access $ 600（TransformHierarchy.java:311）在org.apache.beam.sdk.runners.TransformHierarchy.visit（TransformHierarchy.java:245）在org.apache.beam.sdk.Pipeline.traverseTopologically（Pipeline.java:458）在org.apache.beam.sdk.Pipeline.validate（Pipeline.java:575）在org.apache.beam.sdk.Pipeline.run（Pipeline.java:310）在org.apache.beam.sdk.Pipeline.run（Pipeline.java:297）在com.google.cloud.training.dataanalyst.javahelp.StreamDemoConsumer.main（StreamDemoConsumer.java:115）

以退出代码1完成的过程

run_locally.sh

#!/bin/bash

if [ "$#" -ne 1 ]; then
   echo "Usage:   ./run_locally.sh mainclass-basename"
   echo "Example: ./run_oncloud.sh Grep"
   exit
fi

MAIN=com.google.cloud.training.dataanalyst.javahelp.$1

export PATH=/usr/lib/jvm/java-8-openjdk-amd64/bin/:$PATH
mvn compile -e exec:java -Dexec.mainClass=$MAIN

我已设置凭据

echo ${GOOGLE_APPLICATION_CREDENTIALS}

/ Users / mattheu / coexon-seoul-dev-898d91a66539.json

但是发生授权错误。

我该如何解决这个问题？

java google-cloud-platform google-cloud-pubsub dataflow
1个回答
0
投票
我经历了类似的事情，以下步骤对我有用：

  1. 在笔记本电脑上安装Google Cloud SDK。此处的说明：https://cloud.google.com/sdk/install

  2. 关闭您的命令行，然后重新打开。

  3. 运行gcloud init并按照说明进行操作，其中包括将SDK绑定到您的GCP帐户和项目。

  4. 按照说明手动设置服务帐户（https://cloud.google.com/docs/authentication/production#obtaining_and_providing_service_account_credentials_manually）。您只需要按照“手动获取和提供服务帐户凭据”下的说明进行操作。基本上，您将使用服务帐户信息将文件保存到计算机，该文件将用于您要执行的工作。

  5. 在您的外壳程序配置文件中（在以Catalina开头的macOS上，此文件为~/.zshenv），添加行export GOOGLE_APPLICATION_CREDENTIALS="/path/to/the/file/you/saved/in/step/4"

  6. 关闭并重新打开外壳，您应该一切顺利。

我有点不确定是否需要设置SDK（第1-3步），但还是要进行设置还是一件好事。

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