Serverless Data Processing with Dataflow - Using Dataflow SQL for Batch Analytics (Java) Reviews
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Serverless Data Processing with Dataflow - Using Dataflow SQL for Batch Analytics (Java) Reviews

3684 reviews

levi a. · Reviewed أكثر من سنة ago

levi a. · Reviewed أكثر من سنة ago

Looks the steps are not in order. Something is missing to complete the lab

Kishore C. · Reviewed أكثر من سنة ago

JAQUELINE R. · Reviewed أكثر من سنة ago

Looks the steps are not in order. Something is missing to complete this lab

Kishore C. · Reviewed أكثر من سنة ago

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Bryan G. · Reviewed أكثر من سنة ago

# 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}"

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