推荐模型自动化更新-特征分桶数据生产

qiaojialiang/handle_rov.sh

@@ -20,9 +20,9 @@ bucketDataPath=/dw/recommend/model/16_train_data/
 # shellcheck disable=SC2039
 source /root/anaconda3/bin/activate py37
 # shellcheck disable=SC2154
-echo "----------step1------------开始校验是否生产完数据，分区信息：beginHhStr:${begin_early_2_Str}${beginHhStr},endHhStr:${end_early_2_Str}${endHhStr}"
+echo "----------step1------------开始校验是否生产完数据，分区信息：beginStr:${begin_early_2_Str}${beginHhStr},endStr:${end_early_2_Str}${endHhStr}"
 while true; do
-  python_return_code=$(python /root/joe/recommend-emr-dataprocess/qiaojialiang/checkHiveDataUtil.py --table ${table} --beginHhStr ${begin_early_2_Str}${beginHhStr} --endHhStr ${end_early_2_Str}${endHhStr})
+  python_return_code=$(python /root/joe/recommend-emr-dataprocess/qiaojialiang/checkHiveDataUtil.py --table ${table} --beginStr ${begin_early_2_Str}${beginHhStr} --endStr ${end_early_2_Str}${endHhStr})
   echo "python 返回值：${python_return_code}"
   if [ $python_return_code -eq 0 ]; then
     echo "Python程序返回0，校验存在数据，退出循环。"