关于“Serverless Data Processing with Dataflow - Using Dataflow SQL for Batch Analytics (Java)”的评价
评论
Dhananjay P. · 评论about 1 year之前
Rupesh P. · 评论about 1 year之前
Marcelo C. · 评论about 1 year之前
José R. · 评论about 1 year之前
ide-url does not work, rendering the lab completely useless
Emre O. · 评论about 1 year之前
Peter T. · 评论about 1 year之前
Mayuri Raosaheb H. · 评论about 1 year之前
Anas R. · 评论about 1 year之前
Great !
Eric A. · 评论about 1 year之前
CHIA H. · 评论about 1 year之前
Very confusing
Olufemi Opeyemi O. · 评论about 1 year之前
Rakesh R. · 评论about 1 year之前
Javier V. · 评论about 1 year之前
Julie M. · 评论about 1 year之前
Robert-Andrei S. · 评论about 1 year之前
Łukasz S. · 评论about 1 year之前
faraz k. · 评论about 1 year之前
Mahesh B. · 评论over 1 year之前
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. · 评论over 1 year之前
Leontinus Y. · 评论over 1 year之前
Leontinus Y. · 评论over 1 year之前
Quentin A. · 评论over 1 year之前
Quentin A. · 评论over 1 year之前
Javier V. · 评论over 1 year之前
a
Kirat M. · 评论over 1 year之前
我们无法确保发布的评价来自已购买或已使用产品的消费者。评价未经 Google 核实。