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离线任务的稳定性

article 2025/2/23 13:53:14

数据同步底层脚本

日志追踪，关键字提取，任务失败重启策略

Mysql_to_hive.sh

#!/bin/bash


echo "mysql host is" $1
echo "mysql db is" $2
echo "mysql table is" $3
echo "mysql username is" $4
echo "mysql passwd is" $5
echo "hive db is" $6
echo "hive table prefix is" $7
echo "format is" $8
echo "create_time is" $9
echo "update_time is" ${10}
echo "query_begin_date is" ${11}
echo "query_end_date is" ${12}
echo "hive_tables is" ${13}
echo "condition is" ${14}
echo "dropCols is" ${15}


host=$1
db=$2
table=$3
username=$4
passwd=$5
hive_db=$6
hive_table_prefix=$7
format=$8
create_time=$9
update_time=${10}
dt=${11}
dt1=${12}
hive_tables=${13}
condition=${14}
dropCols=${15}




s=0
limit_cnts=10


f(){



s=$(($s+1))

echo "函数f被调用次数:$s"

if [ $s -gt $limit_cnts ]

then
        echo "the cycle times is gt $limit_cnts,exit"
        exit 1

fi


query_begin_date=${1}
query_end_date=${2}


WORK_DIR=$(cd "$(dirname "$0")";pwd)
echo "WORK_DIR:"${WORK_DIR}
LOG_PATH="${WORK_DIR}/log/${hive_db}/${query_end_date}"
echo "LOG_PATH:${LOG_PATH}"
mkdir -p ${LOG_PATH}
FILE_LOG="${LOG_PATH}/${table}_to_hive.log"
echo "FILE_LOG:${FILE_LOG}"

/opt/cloudera/parcels/SPARK2/bin/spark2-submit \
--class com.mingzhi.common.universal.common_mysql_to_hive \
--master yarn \
--deploy-mode client \
--driver-memory 2g \
--num-executors 3 \
--executor-memory 3G \
--executor-cores 3 \
--conf spark.default.parallelism=200 \
--conf spark.port.maxRetries=1000 \
--conf spark.rpc.numRetries=1000000 \
--conf spark.sql.shuffle.partitions=10 \
--conf spark.dynamicAllocation.enabled=false \
--conf spark.rpc.askTimeout=3600 \
--conf spark.rpc.lookupTimeout=3600 \
--conf spark.network.timeout=3600 \
--conf spark.rpc.io.connectionTimeout=3600 \
/mnt/db_file/jars/common-1.0-SNAPSHOT-jar-with-dependencies.jar \
"$host" "$db" "$table" "$username" "$passwd" "$hive_db" "$hive_table_prefix" "$format" "$create_time" "$update_time" "$query_begin_date" "$query_end_date" "$hive_tables" "$condition" "$dropCols" 2>&1 | tee ${FILE_LOG}

while read -r line
do
  #echo "$line"
  error1="SparkContext has been shutdown"
  error2="Failed to send RPC"
  error3="java.nio.channels.ClosedChannelException"
  error4="Marking as slave lost"
  error5="org.apache.spark.SparkException"
  error6="Exception in thread"
  error7="SparkContext was shut down"
  error8="org.apache.spark.sql.AnalysisException"
  error9="java.util.concurrent.RejectedExecutionException"
  if [[ ${line} == *${error9}* || ${line} == *${error1}* || ${line} == *${error2}* || ${line} == *${error3}* || ${line} == *${error4}* || ${line} == *${error5}* || ${line} == *${error6}* || ${line} == *${error7}* || ${line} == *${error8}* ]]
  then
    echo "SPARK SQL EXECUTION FAILED ......AND JOB FAILED DATE IS 【${query_begin_date},${query_end_date}】......"
    #exit 1
	sleep 1m
     f "$query_begin_date" "$query_end_date"
  fi 
done < ${FILE_LOG}

}





interval_day=5
start_date=${dt}
end_date=${dt1}
while [[ $start_date < $end_date || $start_date = $end_date ]]
do
  query_begin_date=`date -d "$start_date" "+%Y-%m-%d"`
  query_end_date=`date -d "+${interval_day} day ${start_date}" +%Y-%m-%d`
  start_date=`date -d "+${interval_day} day +1 day ${start_date}" +%Y-%m-%d`
  if [[ $query_end_date > $end_date ]]
  then
  query_end_date=$end_date
  fi
  echo "【本次任务开始时间：$query_begin_date,本次任务结束时间：$query_end_date,下一次任务的开始时间：$start_date】"
  #开始执行spark任务
	sleep 1s
  f "$query_begin_date" "$query_end_date"
done

Hive_to_mysql.sh

#!/bin/bash


mysql_host=$1
from_db=$2
from_tables=$3
to_db=$4
to_tables=$5
username=$6
passwd=$7
dt=$8
dt1=$9
savemode=${10}
dropCols=${11}


echo "mysql host is $1"
echo "from_db is ${2}"
echo "from tables is $3"
echo "to_db is $4"
echo "to_tables is $5"
echo "username is $6"
echo "passwd is $7"
echo "dt is $8"
echo "dt1 is $9"
echo "savemode is ${10}"
echo "dropCols is ${11}"



if [ $8 ];
then
dt=$8
else

dt=`date -d "-1 day" +%F`

fi

if [ $9 ];
then
dt1=$9
else
dt1=`date -d "-1 day" +%F`
fi



if [ ${10} ];
then
savemode=${10}
else

savemode='OverWriteByDt'

fi


echo '==============================================================================='

echo "final dt is $dt"
echo "final dt1 is $dt1"
echo "final savemode is $savemode"
echo "final dropCols is $dropCols"



#/mnt/db_file/jars/common-1.0-SNAPSHOT-jar-with-dependencies_202201.jar "${mysql_host}" "${from_db}" "${from_tables}" "${to_db}" "${to_tables}" "$username" "${passwd}" "${dt}" "${dt1}" "${savemode}"


s=0
limit_cnts=10

f(){



s=$(($s+1))

echo "函数f被调用次数:$s"

if [ $s -gt $limit_cnts ]

then
        echo "the cycle times is gt $limit_cnts,exit"
        exit 1

fi

query_begin_date=${1}
query_end_date=${2}



WORK_DIR=$(cd "$(dirname "$0")";pwd)
echo "WORK_DIR:"${WORK_DIR}
LOG_PATH="${WORK_DIR}/log/${from_db}/${query_end_date}"
echo "LOG_PATH:${LOG_PATH}"
mkdir -p ${LOG_PATH}
FILE_LOG="${LOG_PATH}/${from_tables}_to_mysql.log"
echo "FILE_LOG:${FILE_LOG}"


/opt/cloudera/parcels/SPARK2/bin/spark2-submit \
--class com.mingzhi.common.universal.hive_to_mysql \
--master yarn \
--deploy-mode client \
--executor-memory 2G \
--num-executors 2 \
--executor-cores 4 \
--conf spark.dynamicAllocation.maxExecutors=3 \
--conf spark.driver.cores=4 \
--conf spark.driver.memory=2g \
/mnt/db_file/jars/common-1.0-SNAPSHOT-jar-with-dependencies.jar \
"${mysql_host}" "${from_db}" "${from_tables}" "${to_db}" "${to_tables}" "$username" "${passwd}" "${query_begin_date}" "${query_end_date}" "${savemode}" "${dropCols}" 2>&1 | tee ${FILE_LOG}



while read -r line
do
  #echo "$line"
  
  error1="SparkContext has been shutdown"
  error2="Failed to send RPC"
  error3="java.nio.channels.ClosedChannelException"
  error4="Deadlock found"
  error5="org.apache.spark.SparkException"
  error6="Exception in thread"
  error7="SparkContext was shut down"
  error8="org.apache.spark.sql.AnalysisException"
  if [[ ${line} == *${error1}* || ${line} == *${error2}* || ${line} == *${error3}* || ${line} == *${error4}* || ${line} == *${error5}* || ${line} == *${error6}* || ${line} == *${error7}* || ${line} == *${error8}* ]]
  then
    echo "SPARK SQL EXECUTION FAILED ......AND JOB FAILED DATE IS 【${query_begin_date},${query_end_date}】......"
    #exit 1
	sleep 1m
     f "$query_begin_date" "$query_end_date"
  fi 
done < ${FILE_LOG}

}


interval_day=4
start_date=${dt}
end_date=${dt1}

if [[ $start_date == "9999"* ]]
        then
		interval_day=0
fi

while [[ $start_date < $end_date || $start_date = $end_date ]]
do
  query_begin_date=`date -d "$start_date" "+%Y-%m-%d"`
  query_end_date=`date -d "+${interval_day} day ${start_date}" +%Y-%m-%d`
  start_date=`date -d "+${interval_day} day +1 day ${start_date}" +%Y-%m-%d`
  if [[ $query_end_date > $end_date ]]
  then
  query_end_date=$end_date
  fi
  echo "【本次任务开始时间：$query_begin_date,本次任务结束时间：$query_end_date,下一次任务的开始时间：$start_date】"
  #开始执行spark任务
    	if [[ $query_begin_date == "10000"* ]]
        then
		exit
	Fi
s=0
  f "$query_begin_date" "$query_end_date"
done

Es_to_hive.sh


[root@mz-hadoop-01 import]# cat /root/bin/es_to_hive.sh 

#!/bin/bash



echo "es_host is" $1
echo "es_indexes is" $2
echo "hive_db is" $3
echo "hive_tables is" $4
echo "create_time is" $5
echo "update_time is" $6
echo "dt is" $7
echo "dt1 is" $8
echo "format is $9"
echo partitions is ${10}



es_host=$1
es_indexes=$2
hive_db=$3
hive_tables=$4
create_time=$5
update_time=$6
dt=$7
dt1=$8
format=$9
partitions=${10}



cnts=0
cnts_limit=5

memory=1
memory_limit=4

f(){


cnts=$(($cnts+1))
memory=$(($memory+1))

if [ $memory -gt $memory_limit ]
then
		memory=$memory_limit
fi

echo "函数f被调用次数cnts:$cnts and memory is $memory G"

if [ $cnts -gt $cnts_limit ]
then
        echo "the cycle times is gt $cnts_limit,exit"
        exit 1
fi


query_begin_date=$1
query_end_date=$2


WORK_DIR=$(cd "$(dirname "$0")";pwd)
echo "WORK_DIR:"${WORK_DIR}
LOG_PATH="${WORK_DIR}/log/${hive_db}/${query_end_date}"
echo "LOG_PATH:${LOG_PATH}"
mkdir -p ${LOG_PATH}
FILE_LOG="${LOG_PATH}/${hive_tables}_to_hive.log"
echo "FILE_LOG:${FILE_LOG}"


/opt/cloudera/parcels/SPARK2/bin/spark2-submit \
--class com.mingzhi.common.universal.common_es_to_hive \
--master yarn \
--deploy-mode client \
--num-executors 2 \
--executor-memory ${memory}G \
--executor-cores 2 \
--conf spark.default.parallelism=200 \
--conf spark.port.maxRetries=300 \
/mnt/db_file/jars/common-1.0-SNAPSHOT-jar-with-dependencies.jar \
"$es_host" "$es_indexes" "$hive_db" "$hive_tables" "$create_time" "$update_time" "$query_begin_date" "$query_end_date" "$format" "$partitions" 2>&1 | tee ${FILE_LOG}



while read -r line
do
  #echo "$line"
  error1="SparkContext has been shutdown"
  error2="Failed to send RPC"
  error3="java.nio.channels.ClosedChannelException"
  error4="Marking as slave lost"
  error5="org.apache.spark.SparkException"
  error6="Exception in thread"
  error7="SparkContext was shut down"
  error8="org.apache.spark.sql.AnalysisException"
  error9="java.util.concurrent.RejectedExecutionException"
  error0="java.io.IOException"
  if [[ ${line} == *${error9}* || ${line} == *${error1}* || ${line} == *${error2}* || ${line} == *${error3}* || ${line} == *${error4}* || ${line} == *${error5}* || ${line} == *${error6}* || ${line} == *${error7}* || ${line} == *${error8}* || ${line} == *${error0}* ]]
  then
    echo "SPARK SQL EXECUTION FAILED ......AND JOB FAILED DATE IS 【${query_begin_date},${query_end_date}】......"
    #exit 1
	sleep 5s
     f "$query_begin_date" "$query_end_date"
  fi 
done < ${FILE_LOG}


}


interval_day=0
start_date=${dt}
end_date=${dt1}


while [[ $start_date < $end_date || $start_date = $end_date ]]
do
  query_begin_date=`date -d "$start_date" "+%Y-%m-%d"`
  query_end_date=`date -d "+${interval_day} day ${start_date}" +%Y-%m-%d`
  start_date=`date -d "+${interval_day} day +1 day ${start_date}" +%Y-%m-%d`
  if [[ $query_end_date > $end_date ]]
  then
  query_end_date=$end_date
  fi
  echo "【本次任务开始时间：$query_begin_date,本次任务结束时间：$query_end_date,下一次任务的开始时间：$start_date】"
  #开始执行spark任务

	cnts=0
  f "${query_begin_date}" "${query_end_date}"
done

数据同步业务脚本

Import

#!/bin/bash

source /root/bin/common_config/db_config.properties

if [ $1 ];
then
dt=$1
else

dt=`date -d "-1 day" +%F`

fi

if [ $2 ];
then
dt1=$2
else
dt1=`date -d "-1 day" +%F`
fi




/root/bin/mysql_to_hive.sh "$wfs_host" $wfs_db tbwork_order "$wfs_user" "$wfs_pwd" paascloud '' '' 'create_time' 'update_time' $dt $dt1

[root@mz-hadoop-01 import]# cat wfs_order_list_index.sh 
#!/bin/bash

source /root/bin/common_config/es_config.properties




if [ $1 ];
then
dt=$1
else

dt=`date -d "-1 day" +%F`

fi

if [ $2 ];
then
dt1=$2
else
dt1=`date -d "-1 day" +%F`
fi
 

year=${dt:0:4}


cur_day=`date -d "-1 day" +%F`
cur_year=${cur_day:0:4}



echo "year is ${year} and cur_year is ${cur_year}"



#if [ ${year} == '2023' ];
if [ ${year} == ${cur_year} ];
then
port=9200
else
port=9500
fi


echo "port is ${port}"



/root/bin/es_to_hive.sh "$wfs_es_host:${port}" wfs_order_list_index_${year} paascloud wfs_order_list_index "orderCreateTime" "orderUpdateTime" $dt $dt1 'parquet' 1

Export

有更新的导出

[root@mz-hadoop-01 tcm]# cat /mnt/db_file/tcm/hive_to_olap_4_tcm_parse.sh


#!/bin/bash


source /root/bin/common_config/db_config.properties



hive_table=$1
target_table=$2



if [ $3 ];
then
dt=$3
else
 
dt=`date -d "-1 day" +%F`
 
fi
 
if [ $4 ];
then
dt1=$4
else
dt1=`date -d "-1 day" +%F`
fi




echo "起始日期为$dt"
echo "结束日期为$dt1"


f(){

do_date=$1
echo "===函数执行日期为 $do_date==="


	/root/bin/hive_to_mysql.sh "$olap_host" tcm "$hive_table" "$olap_db" "$target_table" "$olap_user" "$olap_pwd" $1 $1


}


  if [[ $dt == $dt1 ]]
  then
    echo "dt = dt1......"


for i in `/mnt/db_file/tcm/get_changed_dt.sh $dt`
do

echo "同步变化的日期======================>$i"


	f $i
done




else

echo "batch process..."


start_day=$dt
end_day=$dt1
dt=$start_day
while [[ $dt < `date -d "+1 day $end_day" +%Y-%m-%d` ]]
do
        echo "批处理===>"$dt
        f $dt
   dt=`date -d "+1 day $dt" +%Y-%m-%d`
done



  fi

无更新的导出
直接导出


[root@mz-hadoop-01 export]# cat wfs_ads_order_material_stats_to_olap.sh 


source /root/bin/common_config/db_config.properties



echo "olap_host is :${olap_host}"


if [ $1 ];
then
dt=$1
else

dt=`date -d "-1 day" +%F`

fi


echo "dt:$dt"


if [ $2 ];
then
dt1=$2
else

dt1=`date -d "-1 day" +%F`

fi

/root/bin/hive_to_mysql.sh "${olap_host}" paascloud wfs_ads_order_material_stats mz_olap wfs_ads_order_material_stats $olap_user $olap_pwd ${dt} ${dt1}

spark通用计算任务

#!/bin/bash

if [ $1 ];
then
className=$1
else

echo "need className"
exit

fi
 
 
if [ $2 ];
then
jarPath=$2
else

echo "need jarPath"
exit

fi
 

if [ $3 ];
then
dt=$3
else
 
dt=`date -d "-1 day" +%F`
 
fi
 
if [ $4 ];
then
dt1=$4
else
dt1=`date -d "-1 day" +%F`
fi 


echo "起始日期:$dt,结束日期:$dt1"

f(){


query_begin_date=${1}
query_end_date=${2}



WORK_DIR=$(cd "$(dirname "$0")";pwd)
echo "WORK_DIR:"${WORK_DIR}
LOG_PATH="${WORK_DIR}/log/${query_end_date}"
echo "LOG_PATH:${LOG_PATH}"
mkdir -p ${LOG_PATH}
FILE_LOG="${LOG_PATH}/$className.log"
echo "FILE_LOG:${FILE_LOG}"


/opt/cloudera/parcels/SPARK2/bin/spark2-submit \
--class $className \
--master yarn \
--deploy-mode client \
--driver-memory 4g \
--num-executors 2 \
--executor-memory 4G \
--executor-cores 4 \
--conf spark.driver.cores=5 \
--conf spark.port.maxRetries=1000 \
--conf spark.rpc.numRetries=1000000 \
--conf spark.sql.shuffle.partitions=3 \
--conf spark.dynamicAllocation.enabled=false \
--conf spark.rpc.askTimeout=3600 \
--conf spark.rpc.lookupTimeout=3600 \
--conf spark.network.timeout=3600 \
--conf spark.rpc.io.connectionTimeout=3600 \
--conf spark.default.parallelism=50 \
$jarPath \
$query_begin_date $query_begin_date 2>&1 | tee ${FILE_LOG}


while read -r line
do
  #echo "$line"
  error1="SparkContext has been shutdown"
  error2="Failed to send RPC"
  error3="java.nio.channels.ClosedChannelException"
  error4="Marking as slave lost"
  error5="org.apache.spark.SparkException"
  error6="Exception in thread"
  error7="SparkContext was shut down"
  error8="org.apache.spark.sql.AnalysisException"
  if [[ ${line} == *${error1}* || ${line} == *${error2}* || ${line} == *${error3}* || ${line} == *${error4}* || ${line} == *${error5}* || ${line} == *${error6}* || ${line} == *${error7}* || ${line} == *${error8}* ]]
  then
    echo "SPARK SQL EXECUTION FAILED ......AND JOB FAILED DATE IS 【${query_begin_date},${query_end_date}】......"
    #exit 1
	sleep 10s
     f "$query_begin_date" "$query_end_date"
  fi 
done < ${FILE_LOG}

}

interval_day=0
start_date=${dt}
end_date=${dt1}
while [[ $start_date < $end_date || $start_date = $end_date ]]
do
  query_begin_date=`date -d "$start_date" "+%Y-%m-%d"`
  query_end_date=`date -d "+${interval_day} day ${start_date}" +%Y-%m-%d`
  start_date=`date -d "+${interval_day} day +1 day ${start_date}" +%Y-%m-%d`
  if [[ $query_end_date > $end_date ]]
  then
  query_end_date=$end_date
  fi
  echo "【本次任务开始时间：$query_begin_date,本次任务结束时间：$query_end_date,下一次任务的开始时间：$start_date】"
  #开始执行spark任务
  f "$query_begin_date" "$query_end_date"
done

Spark业务计算任务

spark_job_4_wfs.sh


#!/bin/bash

if [ $1 ];
then
className=$1
else

echo "need className"
exit

fi
 
 

if [ $2 ];
then
dt=$2
else
 
dt=`date -d "-1 day" +%F`
 
fi
 
if [ $3 ];
then
dt1=$3
else
dt1=`date -d "-1 day" +%F`
fi 

sh /root/bin/spark_job.sh $className /mnt/db_file/wfs/jar/wfs-1.0-SNAPSHOT-jar-with-dependencies.jar $dt $dt1

dwd_order_info_abi.sh


[root@mz-hadoop-01 dwd]# cat dwd_order_info_abi.sh 
#!/bin/bash



if [ $1 ];
then
dt=$1
else
 
dt=`date -d "-1 day" +%F`
 
fi
 
if [ $2 ];
then
dt1=$2
else
dt1=`date -d "-1 day" +%F`
fi
 
echo "起始日期:$dt,结束日期:$dt1"


/mnt/db_file/wfs/spark_job_4_wfs.sh com.mingzhi.wfs.dwd.dwd_order_info_abi $dt $dt1

Hive计算任务

#!/bin/bash
db=paascloud
hive=/opt/cloudera/parcels/CDH-5.16.2-1.cdh5.16.2.p0.8/bin/hive


if [ $1 ];
then
dt=$1
else
 
dt=`date -d "-1 day" +%F`
 
fi
 
if [ $2 ];
then
dt1=$2
else
dt1=`date -d "-1 day" +%F`
fi
 
echo "起始日期:$dt,结束日期:$dt1"

f(){

do_date=$1
echo "===函数日期为 $do_date==="
sql="
use $db;

set hive.exec.dynamic.partition.mode=nonstrict;

add jar /mnt/db_file/wfs/jar/udf-1.4.3-SNAPSHOT-jar-with-dependencies.jar;
create temporary function str_distinct as 'com.mingzhi.StringDistinct';

insert overwrite table ads_order_overall_cube partition(dt)
select
corcode_f3,max(sort_f3),
corcode_f2,max(sort_f2),
corcode_f1,max(sort_f1),
orderlargertype,
--ordersecondtype,
--orderthirdlytype,
orderSource,
orderStatus,
count(1) as cnts,

str_distinct(concat_ws(',',collect_set(deal_user_ids))) as all_persons,
if(str_distinct(concat_ws(',',collect_set(deal_user_ids)))='' ,0, size(split(str_distinct(concat_ws(',',collect_set(deal_user_ids))),','))) as all_person_cnts,

--regexp_replace(regexp_replace(regexp_replace(lpad(bin(cast(grouping_id() as bigint)),5,'0'),"0","x"),"1","0"),"x","1") as dim
reverse(lpad(bin(cast(GROUPING__ID as bigint)),6,'0')) as dim
,'$do_date'
from 

dwd_order_info_abi where dt='$do_date'
group by 
corcode_f3,
corcode_f2,
corcode_f1,
orderlargertype,
--ordersecondtype,
--orderthirdlytype,
orderSource,
orderStatus
grouping sets(corcode_f2,corcode_f1,(corcode_f2,orderlargertype),(corcode_f2,orderlargertype,orderSource,orderStatus),(corcode_f1,orderlargertype),(corcode_f1,orderlargertype,orderSource,orderStatus)  )
;
"

# 获取当前目录
WORK_DIR=$(cd "$(dirname "$0")";pwd)

LOG_PATH="$WORK_DIR/log/$do_date"
mkdir -p $LOG_PATH
FILE_NAME="ads_order_overall_cube"
#*****************************************************************************


$hive -e "$sql" 2>&1 | tee $LOG_PATH/${FILE_NAME}.log

while read -r line
do
  echo "$line"
  error="FAILED"
  if [[ $line == *$error* ]]
  then
    echo "HIVE JOB EXECUTION FAILED AND DATE IS 【${do_date}】......"
    #exit 1
    f ${do_date}
  fi 
done < ${LOG_PATH}/${FILE_NAME}.log

}


start_day=$dt
end_day=$dt1
dt=$start_day
while [[ $dt < `date -d "+1 day $end_day" +%Y-%m-%d` ]]
do

#for i in `/mnt/db_file/wfs/get_changed_dt.sh $dt`
for i in `cat /mnt/db_file/wfs/log/$dt/get_changed_dt_result`
do
        echo ===================执行变化的日期:$i ===========================
	f $i
done

   dt=`date -d "+1 day $dt" +%Y-%m-%d`
done

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