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@@ -1,8 +1,39 @@
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#!/bin/sh
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set -ex
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-HADOOP="/opt/apps/HADOOP-COMMON/hadoop-common-current/bin/hadoop"
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-FM_TRAIN="/root/sunmingze/alphaFM/bin/fm_train"
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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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echo "$(date +%Y-%m-%d_%H-%M-%S)----------step2------------根据特征分桶生产重打分特征数据20240717"
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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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Joe