Joe 9 bulan lalu
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  1. 132 0
      qiaojialiang/data_0729.sh

+ 132 - 0
qiaojialiang/data_0729.sh

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+#!/bin/sh
+set -x
+
+source /root/anaconda3/bin/activate py37
+
+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
+
+#  nohup sh handle_rov.sh > "$(date +%Y%m%d_%H%M%S)_handle_rov.log" 2>&1 &
+
+# 原始数据table name
+table='alg_recsys_sample_all'
+today="$(date +%Y%m%d)"
+today_early_3="$(date -d '3 days ago' +%Y%m%d)"
+#table='alg_recsys_sample_all_test'
+# 处理分区配置 推荐数据间隔一天生产,所以5日0点使用3日0-23点数据生产new模型数据
+begin_early_2_Str="$(date -d '2 days ago' +%Y%m%d)"
+end_early_2_Str="$(date -d '2 days ago' +%Y%m%d)"
+beginHhStr=00
+endHhStr=23
+max_hour=05
+max_minute=00
+# 各节点产出hdfs文件绝对路径
+# 源数据文件
+originDataPath=/dw/recommend/model/41_recsys_sample_data/
+# 特征值
+valueDataPath=/dw/recommend/model/14_feature_data/
+# 特征分桶
+bucketDataPath=/dw/recommend/model/43_recsys_train_data/
+# 模型数据路径
+MODEL_PATH=/root/joe/recommend-emr-dataprocess/model
+# 预测路径
+PREDICT_PATH=/root/joe/recommend-emr-dataprocess/predict
+# 历史线上正在使用的模型数据路径
+LAST_MODEL_HOME=/root/joe/model_online
+# 模型数据文件前缀
+model_name=model_nba8
+# fm模型
+FM_HOME=/root/sunmingze/alphaFM/bin
+# hadoop
+HADOOP=/opt/apps/HADOOP-COMMON/hadoop-common-current/bin/hadoop
+OSS_PATH=oss://art-recommend.oss-cn-hangzhou.aliyuncs.com/zhangbo/
+#OSS_PATH=oss://art-recommend.oss-cn-hangzhou.aliyuncs.com/qiaojialiang/
+
+
+
+
+# 1 生产原始数据
+echo "$(date +%Y-%m-%d_%H-%M-%S)----------step1------------开始根据${table}生产原始数据"
+#/opt/apps/SPARK2/spark-2.4.8-hadoop3.2-1.0.8/bin/spark-class2 org.apache.spark.deploy.SparkSubmit \
+#--class com.aliyun.odps.spark.examples.makedata_recsys.makedata_recsys_41_originData_20240709 \
+#--master yarn --driver-memory 1G --executor-memory 2G --executor-cores 1 --num-executors 16 \
+#../target/spark-examples-1.0.0-SNAPSHOT-shaded.jar \
+#tablePart:64 repartition:32 \
+#beginStr:${begin_early_2_Str}${beginHhStr} endStr:${end_early_2_Str}${endHhStr} \
+#savePath:${originDataPath} \
+#table:${table}
+#if [ $? -ne 0 ]; then
+#   echo "Spark原始样本生产任务执行失败"
+#   /root/anaconda3/bin/python monitor_util.py --level error --msg "荐模型数据更新 \n【任务名称】:step1根据${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"
+#   exit 1
+#else
+#   echo "spark原始样本生产执行成功"
+#fi
+/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.makedata_recsys_41_originData_20240709 \
+--master yarn --driver-memory 1G --executor-memory 2G --executor-cores 1 --num-executors 16 \
+../target/spark-examples-1.0.0-SNAPSHOT-shaded.jar \
+tablePart:64 repartition:32 \
+beginStr:2024072700 endStr:2024072709 \
+savePath:${originDataPath} \
+table:${table} &
+
+/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.makedata_recsys_41_originData_20240709 \
+--master yarn --driver-memory 1G --executor-memory 2G --executor-cores 1 --num-executors 16 \
+../target/spark-examples-1.0.0-SNAPSHOT-shaded.jar \
+tablePart:64 repartition:32 \
+beginStr:2024072710 endStr:2024072715 \
+savePath:${originDataPath} \
+table:${table} &
+
+/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.makedata_recsys_41_originData_20240709 \
+--master yarn --driver-memory 1G --executor-memory 2G --executor-cores 1 --num-executors 16 \
+../target/spark-examples-1.0.0-SNAPSHOT-shaded.jar \
+tablePart:64 repartition:32 \
+beginStr:2024072716 endStr:2024072723 \
+savePath:${originDataPath} \
+table:${table} &
+
+wait
+if [ $? -ne 0 ]; then
+   echo "Spark原始样本生产任务执行失败"
+   /root/anaconda3/bin/python monitor_util.py --level error --msg "荐模型数据更新 \n【任务名称】:step1根据${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"
+   exit 1
+else
+   echo "spark原始样本生产执行成功"
+fi
+
+# 2 特征分桶
+echo "$(date +%Y-%m-%d_%H-%M-%S)----------step2------------根据特征分桶生产重打分特征数据"
+/opt/apps/SPARK2/spark-2.4.8-hadoop3.2-1.0.8/bin/spark-class2 org.apache.spark.deploy.SparkSubmit \
+--class com.aliyun.odps.spark.examples.makedata_recsys.makedata_recsys_43_bucketData_20240709 \
+--master yarn --driver-memory 2G --executor-memory 4G --executor-cores 1 --num-executors 16 \
+../target/spark-examples-1.0.0-SNAPSHOT-shaded.jar \
+readPath:${originDataPath} \
+savePath:${bucketDataPath} \
+beginStr:20240727 endStr:20240727 repartition:500 \
+filterNames:XXXXXXXXX \
+fileName:20240609_bucket_314.txt \
+whatLabel:is_return whatApps:0,4,21,17
+if [ $? -ne 0 ]; then
+   echo "Spark特征分桶处理任务执行失败"
+   /root/anaconda3/bin/python monitor_util.py --level error --msg "荐模型数据更新 \n【任务名称】:step3训练数据产出\n【是否成功】:error\n【信息】:Spark特征分桶处理任务执行失败"
+   exit 1
+else
+   echo "spark特征分桶处理执行成功"
+fi
+
+echo "$(date +%Y-%m-%d_%H-%M-%S)----------step4------------开始模型训练,增量训练:${MODEL_PATH}/${model_name}_${today_early_3}.txt"
+#$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 ${LAST_MODEL_HOME}/model_online.txt -core 8
+$HADOOP fs -text ${bucketDataPath}/20240727/* | ${FM_HOME}/fm_train -m ${MODEL_PATH}/${model_name}_20240727.txt -dim 1,1,8 -im /root/joe/model_online/model_online.txt -core 8
+if [ $? -ne 0 ]; then
+   echo "模型训练失败"
+   /root/anaconda3/bin/python monitor_util.py --level error --msg "荐模型数据更新 \n【任务名称】:step5模型训练\n【是否成功】:error\n【信息】:${bucketDataPath}/20240727训练失败"
+fi
+
+echo "$(date +%Y-%m-%d_%H-%M-%S)----------step5------------模型训练完成:${MODEL_PATH}/${model_name}_20240727.txt"
+