recommend-emr-dataprocess/ad/test_32.sh

#!/bin/sh
set -x

export PATH=$SPARK_HOME/bin:$PATH
export HADOOP_CONF_DIR=/etc/taihao-apps/hadoop-conf
export JAVA_HOME=/usr/lib/jvm/java-1.8.0
export SPARK_HOME=/opt/apps/SPARK2/spark-2.4.8-hadoop3.2-1.0.8


sh_path=$(dirname $0)
source ${sh_path}/00_common.sh

source /root/anaconda3/bin/activate py37



make_32() {
  local step_start_time=$(date +%s)

  /opt/apps/SPARK2/spark-2.4.8-hadoop3.2-1.0.8/bin/spark-class2 org.apache.spark.deploy.SparkSubmit \
    --class com.aliyun.odps.spark.examples.makedata_ad.v20240718.makedata_ad_32_bucket_20250110 \
    --master yarn --driver-memory 1G --executor-memory 2G --executor-cores 1 --num-executors 16 \
    ./target/spark-examples-1.0.0-SNAPSHOT-shaded.jar \
    readPath:/dw/recommend/model/31_ad_sample_data_dev_20250623/*/* \
    savePath:/dw/recommend/model/32_bucket_data_dev_20250623 \
    fileName:ad_bucket_707.txt \
    local task1=$!
    wait ${task1}
    local task1_return_code=$?

}

make_32