dsp_req分区数据人群包临时产出s3，供产品使用

azkaban/dsp/tmp_extract_data_from_dsp_req.job

+type=command
+command=sh -x ./tmp_extract_data_from_dsp_req.sh
\ No newline at end of file

azkaban/dsp/tmp_extract_data_from_dsp_req.sh

+#!/bin/bash
+
+source ../dmp_env.sh
+
+ScheduleTime=${ScheduleTime:-$1}
+LOG_TIME=$(date -d "$ScheduleTime 1 days ago" "+%Y-%m-%d")
+dt=$(date -d "$ScheduleTime 1 days ago" "+%Y%m%d")
+date_path=$(date -d "$ScheduleTime 1 days ago" "+%Y/%m/%d")
+old_path=$(date -d "$ScheduleTime 2 days ago" "+%Y/%m/%d")
+
+rm_dt=$(date -d "$ScheduleTime  180 days ago" "+%Y%m%d")
+rm_dt_path=$(date -d "$ScheduleTime  180 days ago" "+%Y/%m/%d")
+
+
+Tmp_Extract_Data_From_DspReq_Path="s3://mob-emr-test/dataplatform/DataWareHouse/data/dwh/tmp/rtdmp_tmp_extract_data_from_dspReq_path"
+ETL_DSP_REQ_ETL_HOURS_INPUT_PATH="${ETL_DSP_REQ_ETL_HOURS}/$date_path/*/*"
+check_await "${ETL_DSP_REQ_ETL_HOURS}/$date_path/23/_SUCCESS"
+
+hadoop fs -rm -r ${Tmp_Extract_Data_From_DspReq_Path}
+
+spark-submit  --class mobvista.dmp.datasource.dsp.TmpExtractDataFromDspReq \
+ --conf spark.yarn.executor.memoryOverhead=3072 \
+ --conf spark.sql.shuffle.partitions=10000 \
+ --files ${HIVE_SITE_PATH} \
+ --master yarn --deploy-mode cluster --executor-memory 10g --driver-memory 6g  --executor-cores 4  --num-executors 100 \
+ ../${JAR} -input $ETL_DSP_REQ_ETL_HOURS_INPUT_PATH  \
+ -output ${Tmp_Extract_Data_From_DspReq_Path}  \
+ -coalesce 200   || exit 1
+
+
+
+