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				@@ -68,14 +68,49 @@ done 
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				 # 1 生产原始数据 
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				 echo "$(date +%Y-%m-%d_%H-%M-%S)----------step1------------开始根据${table}生产原始数据" 
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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_41_originData_20240709 \ 
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				+#--master yarn --driver-memory 1G --executor-memory 2G --executor-cores 1 --num-executors 16 \ 
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				+#../target/spark-examples-1.0.0-SNAPSHOT-shaded.jar \ 
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				+#tablePart:64 repartition:32 \ 
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				+#beginStr:${begin_early_2_Str}${beginHhStr} endStr:${end_early_2_Str}${endHhStr} \ 
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				+#savePath:${originDataPath} \ 
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				+#table:${table} 
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				+#if [ $? -ne 0 ]; then 
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				+#   echo "Spark原始样本生产任务执行失败" 
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				+#   /root/anaconda3/bin/python monitor_util.py --level error --msg "荐模型数据更新 \n【任务名称】:step1根据${table}生产原始数据\n【是否成功】:error\n【信息】:Spark原始样本生产任务执行失败" 
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				+#   exit 1 
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				+#else 
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				+#   echo "spark原始样本生产执行成功" 
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				+#fi 
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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_41_originData_20240709 \ 
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				+--master yarn --driver-memory 1G --executor-memory 2G --executor-cores 1 --num-executors 16 \ 
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				+../target/spark-examples-1.0.0-SNAPSHOT-shaded.jar \ 
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				+tablePart:64 repartition:32 \ 
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				+beginStr:${begin_early_2_Str}00 endStr:${end_early_2_Str}08 \ 
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				+savePath:${originDataPath} \ 
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				+table:${table} & 
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				+ 
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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_41_originData_20240709 \ 
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				 --master yarn --driver-memory 1G --executor-memory 2G --executor-cores 1 --num-executors 16 \ 
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				 ../target/spark-examples-1.0.0-SNAPSHOT-shaded.jar \ 
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				 tablePart:64 repartition:32 \ 
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				-beginStr:${begin_early_2_Str}${beginHhStr} endStr:${end_early_2_Str}${endHhStr} \ 
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				+beginStr:${begin_early_2_Str}09 endStr:${end_early_2_Str}18 \ 
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				 savePath:${originDataPath} \ 
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				-table:${table} 
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				+table:${table} & 
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				+ 
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				+/opt/apps/SPARK2/spark-2.4.8-hadoop3.2-1.0.8/bin/spark-class2 org.apache.spark.deploy.SparkSubmit \ 
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				+--class com.aliyun.odps.spark.examples.makedata_recsys.makedata_recsys_41_originData_20240709 \ 
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				+--master yarn --driver-memory 1G --executor-memory 2G --executor-cores 1 --num-executors 16 \ 
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				+../target/spark-examples-1.0.0-SNAPSHOT-shaded.jar \ 
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				+tablePart:64 repartition:32 \ 
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				+beginStr:${begin_early_2_Str}19 endStr:${end_early_2_Str}23 \ 
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				+savePath:${originDataPath} \ 
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				+table:${table} & 
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				+ 
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				+wait 
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				 if [ $? -ne 0 ]; then 
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				    echo "Spark原始样本生产任务执行失败" 
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				    /root/anaconda3/bin/python monitor_util.py --level error --msg "荐模型数据更新 \n【任务名称】:step1根据${table}生产原始数据\n【是否成功】:error\n【信息】:Spark原始样本生产任务执行失败" 
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				@@ -84,7 +119,7 @@ else 
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				    echo "spark原始样本生产执行成功" 
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				 fi 
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				-# 3 特征分桶 
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				+# 2 特征分桶 
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				 echo "$(date +%Y-%m-%d_%H-%M-%S)----------step2------------根据特征分桶生产重打分特征数据" 
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				 /opt/apps/SPARK2/spark-2.4.8-hadoop3.2-1.0.8/bin/spark-class2 org.apache.spark.deploy.SparkSubmit \ 
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				 --class com.aliyun.odps.spark.examples.makedata_recsys.makedata_recsys_43_bucketData_20240709 \ 
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				@@ -104,61 +139,8 @@ else 
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				    echo "spark特征分桶处理执行成功" 
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				 fi 
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				-# 1 生产原始数据 
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				-#echo "$(date +%Y-%m-%d_%H-%M-%S)----------step1------------开始根据${table}生产原始数据" 
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				-#/opt/apps/SPARK2/spark-2.4.8-hadoop3.2-1.0.8/bin/spark-class2 org.apache.spark.deploy.SparkSubmit \ 
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				-#--class com.aliyun.odps.spark.examples.makedata_qiao.makedata_13_originData_20240705 \ 
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				-#--master yarn --driver-memory 1G --executor-memory 2G --executor-cores 1 --num-executors 16 \ 
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				-#../target/spark-examples-1.0.0-SNAPSHOT-shaded.jar \ 
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				-#tablePart:64 repartition:32 \ 
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				-#beginStr:${begin_early_2_Str}${beginHhStr} endStr:${end_early_2_Str}${endHhStr} \ 
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				-#savePath:${originDataPath} \ 
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				-#table:${table} 
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				-#if [ $? -ne 0 ]; then 
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				-#   echo "Spark原始样本生产任务执行失败" 
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				-#   /root/anaconda3/bin/python monitor_util.py --level error --msg "荐模型数据更新 \n【任务名称】:step1根据${table}生产原始数据\n【是否成功】:error\n【信息】:Spark原始样本生产任务执行失败" 
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				-#   exit 1 
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				-#else 
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				-#   echo "spark原始样本生产执行成功" 
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				-#fi 
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				- 
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				- 
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				-# 2 特征值拼接 
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				-#echo "$(date +%Y-%m-%d_%H-%M-%S)----------step2------------开始特征值拼接" 
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				-#/opt/apps/SPARK2/spark-2.4.8-hadoop3.2-1.0.8/bin/spark-class2 org.apache.spark.deploy.SparkSubmit \ 
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				-#--class com.aliyun.odps.spark.examples.makedata_qiao.makedata_14_valueData_20240705 \ 
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				-#--master yarn --driver-memory 1G --executor-memory 3G --executor-cores 1 --num-executors 32 \ 
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				-#../target/spark-examples-1.0.0-SNAPSHOT-shaded.jar \ 
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				-#readPath:${originDataPath} \ 
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				-#savePath:${valueDataPath} \ 
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				-#beginStr:${begin_early_2_Str} endStr:${end_early_2_Str} repartition:1000 
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				-#if [ $? -ne 0 ]; then 
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				-#   echo "Spark特征值拼接处理任务执行失败" 
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				-#   /root/anaconda3/bin/python monitor_util.py --level error --msg "荐模型数据更新 \n【任务名称】:step2特征值拼接\n【是否成功】:error\n【信息】:Spark特征值拼接处理任务执行失败" 
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				-#   exit 1 
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				-#else 
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				-#   echo "spark特征值拼接处理执行成功" 
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				-#fi 
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				- 
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				-# 3 特征分桶 
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				-#echo "$(date +%Y-%m-%d_%H-%M-%S)----------step3------------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_qiao.makedata_16_bucketData_20240705 \ 
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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:${valueDataPath} \ 
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				-#savePath:${bucketDataPath} \ 
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				-#beginStr:${begin_early_2_Str} endStr:${end_early_2_Str} repartition:1000 
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				-#if [ $? -ne 0 ]; then 
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				-#   echo "Spark特征分桶处理任务执行失败" 
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				-#   /root/anaconda3/bin/python monitor_util.py --level error --msg "荐模型数据更新 \n【任务名称】:step3训练数据产出\n【是否成功】:error\n【信息】:Spark特征分桶处理任务执行失败" 
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				-#   exit 1 
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				-#else 
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				-#   echo "spark特征分桶处理执行成功" 
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				-#fi 
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				- 
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				-# 4 对比AUC 前置对比3日模型数据 与 线上模型数据效果对比,如果3日模型优于线上,更新线上模型 
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				+# 3 对比AUC 前置对比3日模型数据 与 线上模型数据效果对比,如果3日模型优于线上,更新线上模型 
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				 echo "$(date +%Y-%m-%d_%H-%M-%S)----------step3------------开始对比,新:${MODEL_PATH}/${model_name}_${today_early_3}.txt,与线上online模型数据auc效果" 
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				 $HADOOP fs -text ${bucketDataPath}/${begin_early_2_Str}/* | ${FM_HOME}/fm_predict -m ${LAST_MODEL_HOME}/model_online.txt -dim 8 -core 8 -out ${PREDICT_PATH}/${model_name}_${today}_online.txt 
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				 if [ $? -ne 0 ]; then 
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				@@ -235,7 +217,7 @@ else 
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				   fi 
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				 fi 
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				-# 5 模型训练 
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				+# 4 模型训练 
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				 echo "$(date +%Y-%m-%d_%H-%M-%S)----------step4------------开始模型训练,增量训练:${MODEL_PATH}/${model_name}_${today_early_3}.txt" 
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				 #$HADOOP fs -text ${bucketDataPath}/${begin_early_2_Str}/* | ${FM_HOME}/fm_train -m ${MODEL_PATH}/${model_name}_${begin_early_2_Str}.txt -dim 1,1,8 -im ${LAST_MODEL_HOME}/model_online.txt -core 8 
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				 $HADOOP fs -text ${bucketDataPath}/${begin_early_2_Str}/* | ${FM_HOME}/fm_train -m ${MODEL_PATH}/${model_name}_${begin_early_2_Str}.txt -dim 1,1,8 -im ${MODEL_PATH}/${model_name}_${today_early_3}.txt -core 8 
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