recommend-emr-dataprocess/profile_scripts/gender/make_predict_sample.sh

#!/bin/bash

feature_file=""
year=""
if(($#==2))
then
    feature_file=$1
    year=$2
else
    exit -1
fi

set -x
export SPARK_HOME=/opt/apps/SPARK2/spark-2.4.8-hadoop3.2-1.0.8
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

# params
readPath=/dw/recommend/model/user_profile/data/
suffix="y,8,4,0,e,a,c,k,o,w,g,s,u,q,i,m"
whatLabel=gender
class="0"
minCnt=10
savePath=/dw/recommend/model/user_profile/gender/sample/predict/

# 1 生产数据
/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_recsys_r_rate.makedata_profile_gender_sample_20251114 \
--master yarn --driver-memory 4G --executor-memory 6G --executor-cores 1 --num-executors 8 \
--conf spark.yarn.executor.memoryoverhead=2048 \
--files ${feature_file} \
/mnt/disk1/jch/recommend-emr-dataprocess/target/spark-examples-1.0.0-SNAPSHOT-jar-with-dependencies.jar \
readPath:${readPath} \
year:${year} \
suffix:${suffix} \
whatLabel:${whatLabel} \
class:${class} \
featureFile:${feature_file} \
minCnt:${minCnt} \
repartition:32 \
savePath:${savePath} \