关于“Serverless Data Processing with Dataflow - Using Dataflow SQL for Batch Analytics (Java)”的评价

Matias H. · 已于 about 1 year前审核

Dhananjay P. · 已于 about 1 year前审核

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Dhananjay P. · 已于 about 1 year前审核

Rupesh P. · 已于 about 1 year前审核

Marcelo C. · 已于 about 1 year前审核

José R. · 已于 about 1 year前审核

ide-url does not work, rendering the lab completely useless

Emre O. · 已于 about 1 year前审核

Peter T. · 已于 about 1 year前审核

Mayuri Raosaheb H. · 已于 about 1 year前审核

Anas R. · 已于 about 1 year前审核

Great !

Eric A. · 已于 about 1 year前审核

CHIA H. · 已于 about 1 year前审核

Very confusing

Olufemi Opeyemi O. · 已于 about 1 year前审核

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Javier V. · 已于 about 1 year前审核

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faraz k. · 已于 over 1 year前审核

Mahesh B. · 已于 over 1 year前审核

The import org.apache.beam.sdk.extensions.sql cannot be resolvedJava(268435846) -------------- # Set up environment variables export PROJECT_ID=$(gcloud config get-value project) export REGION='us-central1' export BUCKET=gs://${PROJECT_ID} export PIPELINE_FOLDER=${BUCKET} export MAIN_CLASS_NAME=com.mypackage.pipeline.BatchMinuteTrafficSQLPipeline export RUNNER=DataflowRunner export INPUT_PATH=${PIPELINE_FOLDER}/events.json export TABLE_NAME=${PROJECT_ID}:logs.minute_traffic cd $BASE_DIR mvn compile exec:java \ -Dexec.mainClass=${MAIN_CLASS_NAME} \ -Dexec.cleanupDaemonThreads=false \ -Dexec.args=" \ --project=${PROJECT_ID} \ --region=${REGION} \ --stagingLocation=${PIPELINE_FOLDER}/staging \ --tempLocation=${PIPELINE_FOLDER}/temp \ --runner=${RUNNER} \ --inputPath=${INPUT_PATH} \ --tableName=${TABLE_NAME}"

Andres Felipe G. · 已于 over 1 year前审核

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Leontinus Y. · 已于 over 1 year前审核

Quentin A. · 已于 over 1 year前审核