我有一个脚本，大约需要读取 150 万行并处理这些行并在 cvs 文件中打印输出。该脚本当前需要 8-9 个小时以上才能处理 25 万行。是否可以减少时间？
###### Start Reading Line by Line When IMSI is available ##########################
IFS=$'\n' # new field separator, the end of line
for line in `cat temp_req`
do
#printf "Line: "$line
#printf "\n=============================================================================================\n"
### MSISDN , IMSI , Circle ID #####
MSISDN=`echo $line | grep svc_result | sed -e 's,.*<msid type="MSISDN" enc="ASC">\([^<]*\)</msid>.*,\1,g' | grep -v xml`
IMSI=`echo $line | grep svc_result | sed -e 's,.*<imsi>\([^<]*\)</imsi>.*,\1,g' | grep -v xml`
###### Check IMSI is Blank or Not #############
if [ ! -z $IMSI ];then
CIRCLE=`echo ${IMSI:0:5}`
CIRCLE_NAME=`cat mapping | grep $CIRCLE | awk -F' ' '{print $1}'`
############## Getting Details By Circle One ######################################################
if [ ! -z $CIRCLE ] && [ $CIRCLE = 40496 ] ## HR If start
then
### Check Request Status ###
LAT=`echo $line | grep svc_result | sed -e 's,.*<X>\([^<]*\)</X>.*,\1,g' | grep -v xml`
if [ "x$LAT" = "x" ]
then
### Get Error Status , Time , NDC, MSC, Additional Info ####
TIME=`echo $line | grep -i svc_result | awk -F'[][]' '{print $2}'`
ERROR_CODE=`echo $line | grep svc_result | awk -F '=' '{print $7}' | awk -F '>' '{print $1}' | tr -s '"' ' ' | awk -F' ' '{print $1}'`
ERROR_DESC=`echo $line | grep svc_result | awk -F '=' '{print $7}' | awk -F '>' '{print $2}' | awk -F'<' '{print $1}'`
NDC=`echo $line | grep svc_result | sed -e 's,.*<ndc>\([^<]*\)</ndc>.*,\1,g' | grep -v xml`
MSC_NO=`echo $line | grep svc_result | sed -e 's,.*<vmscno>\([^<]*\)</vmscno>.*,\1,g' | grep -v xml`
ADD_INFO=`echo $line | grep svc_result | sed -e 's,.*<add_info>\([^<]*\)</add_info>.*,\1,g' | grep -v xml | awk -F';' '{print $2}'`
############## Validate MSC GT and ADD Info Parameter ##############
if [ '91$MSC_NO' = '91' ];then
MSC_NO="0"
fi
if [ 'x$ADD_INFO' = 'x' ];then
ADD_INFO=`echo $line | grep svc_result | sed -e 's,.*<add_info>\([^<]*\)</add_info>.*,\1,g' | grep -v xml | awk -F';' '{print $1}'`
fi
################# Finished Validation #################
######################## Create Error Report ###########
if [ ERROR$ERROR_CODE = ERROR1 ];then
HR_ERROR1=`expr $HR_ERROR1 + 1`;HR_FAILED_COUNT=`expr $HR_FAILED_COUNT + 1`
elif [ ERROR$ERROR_CODE = ERROR2 ];then
HR_ERROR2=`expr $HR_ERROR2 + 1`;HR_FAILED_COUNT=`expr $HR_FAILED_COUNT + 1`
elif [ ERROR$ERROR_CODE = ERROR3 ];then
HR_ERROR3=`expr $HR_ERROR3 + 1`;HR_FAILED_COUNT=`expr $HR_FAILED_COUNT + 1`
elif [ ERROR$ERROR_CODE = ERROR4 ];then
HR_ERROR4=`expr $HR_ERROR4 + 1`;HR_FAILED_COUNT=`expr $HR_FAILED_COUNT + 1`
elif [ ERROR$ERROR_CODE = ERROR5 ];then
HR_ERROR5=`expr $HR_ERROR5 + 1`;HR_FAILED_COUNT=`expr $HR_FAILED_COUNT + 1`
elif [ ERROR$ERROR_CODE = ERROR6 ];then
HR_ERROR6=`expr $HR_ERROR6 + 1`;HR_FAILED_COUNT=`expr $HR_FAILED_COUNT + 1`
elif [ ERROR$ERROR_CODE = ERROR202 ];then
HR_ERROR202=`expr $HR_ERROR202 + 1`;HR_FAILED_COUNT=`expr $HR_FAILED_COUNT + 1`
elif [ ERROR$ERROR_CODE = ERROR203 ];then
HR_ERROR203=`expr $HR_ERROR203 + 1`;HR_FAILED_COUNT=`expr $HR_FAILED_COUNT + 1`
elif [ ERROR$ERROR_CODE = ERROR501 ];then
HR_ERROR501=`expr $HR_ERROR501 + 1`;HR_FAILED_COUNT=`expr $HR_FAILED_COUNT + 1`
fi
else
#print $SUCCESS_COUNT
HR_SUCCESS_COUNT=`expr $HR_SUCCESS_COUNT + 1`
fi
fi
done