#!/usr/bin/env bash

source ../../dmp_env.sh
source ././../../ga_rawdata_analysis/common/tools.sh

echo "job  begin!!!"

dt_today=$(date -d "$ScheduleTime tomorrow" +"%Y%m%d")
dt_three_days_ago=$(date -d "$ScheduleTime tomorrow" +"%Y%m%d")
dt_slash_today=$(date -d "$ScheduleTime tomorrow" +"%Y/%m/%d")
update=$(date -d "$ScheduleTime tomorrow" +"%Y-%m-%d")

dt_oneday_ago=$(date -d "$ScheduleTime" +"%Y/%m/%d")
hour="04"

IMEIMD5_REQUEST_INPUT_PATH="${ALIPAY_LAHUO_DAILY_PATH}/${dt_oneday_ago}/imeimd5_request_data/${hour}"

IMEIMD5_RESPONSE_INPUT_PATH="${ALIPAY_LAHUO_DAILY_TMP_PATH}/${dt_slash_today}/imeimd5/${hour}"

OUTPUT01="${ALIPAY_ACTIVATION_DAILY_PATH}/${dt_slash_today}/${hour}/alipay_activation"

OUTPUT02="${ALIPAY_ACQUISITION_DAILY_PATH}/${dt_slash_today}/${hour}/alipay_acquisition"

check_await "${IMEIMD5_RESPONSE_INPUT_PATH}/_SUCCESS"

hadoop fs -rm -r "${OUTPUT01}"
hadoop fs -rm -r "${OUTPUT02}"

spark-submit --class mobvista.dmp.datasource.taobao.AlipayTmpDataToDmp \
 --conf spark.network.timeout=720s \
 --conf spark.default.parallelism=2000 \
 --conf spark.sql.shuffle.partitions=2000 \
 --conf spark.sql.broadcastTimeout=1200 \
 --conf spark.yarn.executor.memoryOverhead=4096 \
 --conf spark.sql.autoBroadcastJoinThreshold=31457280 \
 --files ${HIVE_SITE_PATH} \
 --master yarn --deploy-mode cluster  --executor-memory 8g --driver-memory 4g  --executor-cores 4  --num-executors 40 \
 ../../${JAR}  -imeiRequestInput ${IMEIMD5_REQUEST_INPUT_PATH}  -imeiResponseInput ${IMEIMD5_RESPONSE_INPUT_PATH} \
  -output01 ${OUTPUT01}  -output02 ${OUTPUT02}


if [ $? -ne 0 ];then
  exit 255
fi


mount_partition "etl_alipay_activation_daily" "dt='${dt_today}', hh='${hour}', business='alipay_activation'" "${OUTPUT01}"

mount_partition "etl_alipay_acquisition_daily" "dt='${dt_today}', hh='${hour}', business='alipay_acquisition'" "${OUTPUT02}"


if [ $? -ne 0 ];then
  exit 255
fi

#ACTIVATIONOUTPUT="${ALIPAY_ACTIVATION_DAILY_PATH}/${dt_slash_today}/alipay_activation_deduplication"
#ACQUISITIONOUTPUT="${ALIPAY_ACQUISITION_DAILY_PATH}/${dt_slash_today}/alipay_acquisition_deduplication"
#
#spark-submit --class mobvista.dmp.datasource.taobao.AlipayLaHuoFourDaysDataDeduplication \
# --conf spark.network.timeout=720s \
# --conf spark.default.parallelism=2000 \
# --conf spark.sql.shuffle.partitions=2000 \
# --conf spark.sql.broadcastTimeout=1200 \
# --conf spark.yarn.executor.memoryOverhead=4096 \
# --conf spark.sql.autoBroadcastJoinThreshold=31457280 \
# --files ${HIVE_SITE_PATH} \
# --master yarn --deploy-mode cluster  --executor-memory 8g --driver-memory 4g  --executor-cores 4  --num-executors 40 \
# ../../${JAR}  -dt_today ${dt_today}  -dt_three_days_ago ${dt_three_days_ago} \
#  -ActivationOutput ${ACTIVATIONOUTPUT}  -AcquisitionOutput ${ACQUISITIONOUTPUT}
#
#if [ $? -ne 0 ];then
#  exit 255
#fi
#
#mount_partition "etl_alipay_activation_daily" "dt='${dt_today}', business='alipay_activation_deduplication'" "${ACTIVATIONOUTPUT}"
#mount_partition "etl_alipay_acquisition_daily" "dt='${dt_today}', business='alipay_acquisition_deduplication'" "${ACQUISITIONOUTPUT}"

#if [ $? -ne 0 ];then
#  exit 255
#fi
#
#HIVE_CMD=$(hive_func)
#
#$HIVE_CMD	-v  -hivevar  dt_today ${dt_today}     -f	alipay_lahuo_data_to_dmp.sql


if [ $? -ne 0 ];then
  exit 255
fi

#hadoop fs -touchz "${ALIPAY_ACTIVATION_DAILY_PATH}/${dt_slash_today}/_SUCCESS"
hadoop fs -touchz "${ALIPAY_ACQUISITION_DAILY_PATH}/${dt_slash_today}/${hour}/_SUCCESS"
hadoop fs -touchz "${ALIPAY_ACQUISITION_DAILY_PATH}/${dt_slash_today}/_SUCCESS"

echo "good job"

