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+#!/bin/sh
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+set -x
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+
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+source /root/anaconda3/bin/activate py37
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+
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+export SPARK_HOME=/opt/apps/SPARK2/spark-2.4.8-hadoop3.2-1.0.8
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+export PATH=$SPARK_HOME/bin:$PATH
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+export HADOOP_CONF_DIR=/etc/taihao-apps/hadoop-conf
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+export JAVA_HOME=/usr/lib/jvm/java-1.8.0
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+
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+# nohup sh handle_rov.sh > "$(date +%Y%m%d_%H%M%S)_handle_rov.log" 2>&1 &
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+
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+# 原始数据table name
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+table='alg_recsys_sample_all'
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+today="$(date +%Y%m%d)"
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+today_early_3="$(date -d '3 days ago' +%Y%m%d)"
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+#table='alg_recsys_sample_all_test'
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+# 处理分区配置 推荐数据间隔一天生产，所以5日0点使用3日0-23点数据生产new模型数据
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+begin_early_2_Str="$(date -d '2 days ago' +%Y%m%d)"
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+end_early_2_Str="$(date -d '2 days ago' +%Y%m%d)"
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+beginHhStr=00
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+endHhStr=23
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+max_hour=05
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+max_minute=00
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+# 各节点产出hdfs文件绝对路径
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+# 源数据文件
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+originDataPath=/dw/recommend/model/41_recsys_sample_data/
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+# 特征值
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+valueDataPath=/dw/recommend/model/14_feature_data/
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+# 特征分桶
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+bucketDataPath=/dw/recommend/model/43_recsys_train_data/
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+# 模型数据路径
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+MODEL_PATH=/root/joe/recommend-emr-dataprocess/model
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+# 预测路径
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+PREDICT_PATH=/root/joe/recommend-emr-dataprocess/predict
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+# 历史线上正在使用的模型数据路径
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+LAST_MODEL_HOME=/root/joe/model_online
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+# 模型数据文件前缀
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+model_name=model_nba8
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+# fm模型
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+FM_HOME=/root/sunmingze/alphaFM/bin
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+# hadoop
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+HADOOP=/opt/apps/HADOOP-COMMON/hadoop-common-current/bin/hadoop
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+OSS_PATH=oss://art-recommend.oss-cn-hangzhou.aliyuncs.com/zhangbo/
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+
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+
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+echo "$(date +%Y-%m-%d_%H-%M-%S)----------step2------------根据特征分桶生产重打分特征数据"
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+/opt/apps/SPARK2/spark-2.4.8-hadoop3.2-1.0.8/bin/spark-class2 org.apache.spark.deploy.SparkSubmit \
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+--class com.aliyun.odps.spark.examples.makedata_recsys.makedata_recsys_43_bucketData_20240709 \
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+--master yarn --driver-memory 2G --executor-memory 4G --executor-cores 1 --num-executors 16 \
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+../target/spark-examples-1.0.0-SNAPSHOT-shaded.jar \
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+readPath:${originDataPath} \
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+savePath:${bucketDataPath} \
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+beginStr:20240716 endStr:20240722 repartition:500 \
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+filterNames:XXXXXXXXX \
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+fileName:20240609_bucket_314.txt \
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+whatLabel:is_return whatApps:0,4,21,17
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+if [ $? -ne 0 ]; then
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+ echo "Spark特征分桶处理任务执行失败"
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+ /root/anaconda3/bin/python monitor_util.py --level error --msg "荐模型数据更新 \n【任务名称】:step3训练数据产出\n【是否成功】:error\n【信息】:Spark特征分桶处理任务执行失败"
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+ exit 1
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+else
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+ echo "spark特征分桶处理执行成功"
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+fi
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+
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Joe