#!/bin/bash

source ../dmp_env.sh

region=$1
today=${ScheduleTime:-$2}

datetime=$(date +"%Y/%m/%d %H" -d "1 hour ago $today")
date=${datetime:0:10}
hour=${datetime:11:2}

date_path="${date}/${region}/${hour}"

INPUT_DSP_PATH="s3://mob-emr-test/dataplatform/DataWareHouse/data/dev/etl_dsp_request_hour/${date_path}"
INPUT_ADN_PATH="s3://mob-emr-test/dataplatform/DataWareHouse/data/dev/etl_adn_sdk_request_hour/${date_path}"

before_date_path=$(date +"%Y/%m/%d" -d "2 days ago $today")

INPUT_APP_TAG="s3://mob-emr-test/dataplatform/data/dwh/app_tag_id"

LOG_TIME=$(date +"%Y%m%d" -d "1 days ago $today")

INPUT_APP_TAG_PATH=$(get_recently_dir "${INPUT_APP_TAG}" "${LOG_TIME}" "")

check_await "${INPUT_DSP_PATH}/_SUCCESS"

sleep 60

host="ip-172-31-20-35.ec2.internal"
cluster="cluster_1st"
database="dwh"
table="realtime_service_hour"


if [[ ${region} == "cn" ]]; then
    parallelism=10
    partition=10
    executors=5
else
    parallelism=1000
    partition=1000
    executors=20
fi

spark-submit --class mobvista.dmp.clickhouse.realtime.MergeEtlHourToCK \
     --name "MergeEtlHourToCK_${date}_${hour}_${region}" \
     --conf spark.sql.shuffle.partitions=${partition} \
     --conf spark.default.parallelism=${parallelism} \
     --conf spark.kryoserializer.buffer.max=512m \
     --conf spark.kryoserializer.buffer=64m \
     --conf spark.sql.files.maxPartitionBytes=268435456 \
     --conf spark.driver.extraJavaOptions="-XX:+UseG1GC" \
     --conf spark.executor.extraJavaOptions="-XX:+UseG1GC" \
     --master yarn --deploy-mode cluster --executor-memory 6g --driver-memory 6g  --executor-cores 2  --num-executors ${executors} \
     ../${JAR} -date ${date} -host ${host} -cluster ${cluster} -database ${database} -table ${table} \
     --input_dsp ${INPUT_DSP_PATH} --input_adn ${INPUT_ADN_PATH} --region ${region} --hour ${hour} --app_tag_input ${INPUT_APP_TAG_PATH}

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