Shell脚本 | 性能测试之内存

性能测试中，内存是一个不可或缺的方面。比如说在跑 Monkey 的过程中，如何准确持续的获取到内存数据就显得尤为重要。

今天分享一个脚本，可以在给定时间内持续监控内存，最后输出成一份 CSV 文件，通过 Excel 的插入图表功能可以形成一副内存走势图。

脚本中最关键的两个步骤如下，其余看代码吧（注释很详细）：

1. 通过 adb 命令获取内存文件
2. 通过 Python 脚本解析内存文件，取出其中的 "TOTAL" 值
   
   

run.sh

#!/usr/bin/env bash
# Description: 获取内存TOTAL值
# How to use: sh +x run.sh <package_name> <time>
# 新建输出文件夹
function init_data() {
    if [[ ! -d ${OUTPUT} ]];then
        mkdir -p ${OUTPUT}
    fi
    touch ${MEMINFO_FILE}
}
# 将日期追加入MEMINFO_FILE
# 将内存信息追加入MEMINFO_FILE
function dump_memory_info() {
    echo "TIME FLAG:"  `date "+%Y-%m-%d %H:%M:%S"` >> ${1}
    adb shell dumpsys meminfo ${2} >> ${1}
}
# 每隔一分钟拉取一次内存信息
function start_monitor() {
    for((i=1;i<=${1};i++));
    do
        dump_memory_info ${2} ${3}
        sleep 60
    done
}
# 处理"TOTAL:"格式的内存文件
# 调用report脚本，传入参数MEMINFO_FILE
# 将logs/csv/t_u.csv文件拷贝并重命名为MEMINFO_CSV_FILE
# 删除"logs"文件夹，减少硬盘空间占用
function report_with_colon() {
    sh +x report.sh ${1}
    cp -p logs/csv/t_u.csv ${2}
    rm -r logs
}
# 处理"TOTAL"格式的内存文件
function report_without_colon() {
    sh +x report_no_colon.sh ${1}
    cp -p logs/csv/t_u.csv ${2}
    rm -r logs
}
# 调用report脚本，输出csv文件
function report_memory_info() {
    TOTAL_TIME=$(cat ${1} | grep "TOTAL:" -c)
    if [[ ${TOTAL_TIME} != 0 ]]; then
        report_with_colon ${1} ${2}
    else
        report_without_colon ${1} ${2}
    fi
}
# 运行脚本时传入的第一个参数：包名
PACKAGE_NAME=$1
# 第二个参数：运行时间（分钟）
TIME=$2
# 绝对路径
WORKSPACE=`pwd`
# 输出文件夹
OUTPUT=${WORKSPACE}/output_memory
# 内存文件
MEMINFO_FILE=${OUTPUT}/meminfo.txt
MEMINFO_CSV_FILE=${OUTPUT}/meminfo.csv
# 删除"output_memory"，避免数据混淆
if [[ -d "output_memory" ]]; then
    rm -r output_memory
fi
# 开始调用方法
init_data
start_monitor ${TIME} ${MEMINFO_FILE} ${PACKAGE_NAME}
report_memory_info ${MEMINFO_FILE}  ${MEMINFO_CSV_FILE}

report.sh

#!/usr/bin/env bash
# Description: 提取meminfo.txt中的TOTAl值并输出到CSV文件（适用于'TOTAL:'格式的内存文件）
# 根据dumpsys meminfo后的文件中不同的标签， 设定文件名
# 因为标签诸如'.ttf mmap'等， 中间有空格， 不适合直接做文件名
getMemFileName()
{
  local tag=$1
  case ${tag} in
    "Native")
    fileName="native_meminfo.txt"
      ;;
    "Dalvik")
    fileName="dalvik_meminfo.txt"
      ;;
    "Cursor")
    fileName="cursor_meminfo.txt"
      ;;
    "Other dev")
    fileName="otherdev_meminfo.txt"
      ;;
    "Ashmem")
    fileName="ashmem_meminfo.txt"
      ;;
    ".so mmap")
    fileName="so_meminfo.txt"
      ;;
    ".jar mmap")
    fileName="jar_meminfo.txt"
      ;;
    ".apk mmap")
    fileName="apk_meminfo.txt"
      ;;
    ".ttf mmap")
    fileName="ttf_meminfo.txt"
      ;;
    ".dex mmap")
    fileName="dex_meminfo.txt"
      ;;
    "Other mmap")
    fileName="other_meminfo.txt"
      ;;
    "Unknown")
    fileName="unknown_meminfo.txt"
      ;;
    "TOTAL:")
    fileName="total_meminfo.txt"
      ;;
  *)
      ;;
  esac
  echo ${fileName}
}
# 解析MonkeyTest完成后的meminfo.txt
# 按列读取， 1， 2， 3， 4， 5列分别对应：Pss, SharedDirty, PrivateDirty, HeapSize, HeapFree
splitMeminfo()
{
  local fileName=$1
  # 删除VALUE字符串中以分隔符“.”匹配的右边字符，保留左边字符。${VALUE%.*}
  local folderName=${fileName%.*}
  mkdir logs/${folderName}
  awk '{print $1}' logs/${fileName} > logs/${folderName}/Pss
  awk '{print $2}' logs/${fileName} > logs/${folderName}/SharedDirty
  awk '{print $3}' logs/${fileName} > logs/${folderName}/PrivateDirty
  awk '{print $4}' logs/${fileName} > logs/${folderName}/HeapSize
  awk '{print $5}' logs/${fileName} > logs/${folderName}/HeapFree
}
# 将MonkeyTest完成后的meminfo.txt中的tag去掉
# 如： PSS 234 222 333 555 0 -> 234 222 333 555 0
# 原因：统一成５列数据，　方便'splitMeminfo'按列读取数据
removeTag()
{
  local fileName=$1
  local tag=$2
  case ${tag} in
    "Native")
    # 删除第一列，然后输出到logs/native.txt
    awk '{$1="";print}' ${fileName} > logs/native.txt
    splitMeminfo native.txt
      ;;
    "Dalvik")
    awk '{$1="";print}' ${fileName} > logs/dalvik.txt
    splitMeminfo dalvik.txt
      ;;
    "Cursor")
    awk '{$1="";print}' ${fileName} > logs/cursor.txt
    splitMeminfo cursor.txt
      ;;
    "Other dev")
    awk '{$1=""; $2="";print}' ${fileName} > logs/otherdev.txt
    splitMeminfo otherdev.txt
      ;;
    "Ashmem")
    awk '{$1="";print}' ${fileName}  > logs/ashmem.txt
    splitMeminfo ashmem.txt
      ;;
    ".so mmap")
    awk '{$1=""; $2="";print}' ${fileName} > logs/sommap.txt
    splitMeminfo sommap.txt
      ;;
    ".jar mmap")
    awk '{$1=""; $2="";print}' ${fileName} > logs/jarmmap.txt
    splitMeminfo jarmmap.txt
      ;;
    ".apk mmap")
    awk '{$1=""; $2="";print}' ${fileName} > logs/apkmmap.txt
    splitMeminfo apkmmap.txt
      ;;
    ".ttf mmap")
    awk '{$1=""; $2="";print}' ${fileName} > logs/ttfmmap.txt
    splitMeminfo ttfmmap.txt
      ;;
    ".dex mmap")
    awk '{$1="";$2="";print}' ${fileName} > logs/dexmmap.txt
    splitMeminfo dexmmap.txt
      ;;
    "Other mmap")
    awk '{$1="";$2="";print}' ${fileName} > logs/othermmap.txt
    splitMeminfo othermmap.txt
      ;;
    "Unknown")
    awk '{$1="";print}' ${fileName}  > logs/unknown.txt
    splitMeminfo unknown.txt
      ;;
    "TOTAL:")
    awk '{$1="";print}' ${fileName}  > logs/total.txt
    splitMeminfo total.txt
      ;;
  *)
      ;;
  esac
}
# 生成.csv文件，　方便网页中用js读取，　并传值給HighCharts
# 将splitMeminfo中生成的多个文件，　列转行
# 格式：Pss, 234,333,444,556,444......
getCSVFile()
{
  mkdir logs/csv
  local meminfo_Files=("Pss" "SharedDirty" "PrivateDirty" "HeapSize" "HeapFree")
    # 数组长度
  local count=${#meminfo_Files[@]}
  for((i=0;i<$count;i++))
  do
    local item=${meminfo_Files[$i]}
    echo "Categories" >> logs/csv/${item}.csv
    for data in `find ./ -name "${item}"`
    do
        # 删除VALUE字符串中以分隔符“.”匹配的右边字符，保留左边字符。${VALUE%.*}
        seriesName=${data%/*}
        # 删除VALUE字符串中以分隔符“.”匹配的左边字符，保留右边字符。${VALUE##*.}
        seriesName=${seriesName##*/}
      csvline=${seriesName}
      for line in `cat ${data}`
      do
        csvline=${csvline},${line}
      done
      echo ${csvline} >> logs/csv/${item}.csv
      sed -i '' "s/,//g" logs/csv/${item}.csv
    done
  done
}
# 第一列的所有参数
MEMINFO_ARGS=("Native" "Dalvik" "Cursor" "Other dev"  "Ashmem" ".so mmap" ".jar mmap" ".apk mmap" ".ttf mmap" ".dex mmap" "Other mmap" "Unknown" "TOTAL:")
# 从run.sh传入的参数
MEMINFO_File=${1}
# MEMINFO_ARGS的长度(length)
count=${#MEMINFO_ARGS[@]}
# 创建logs/, 用以存放日志
mkdir logs
# 解析日志
for((i=0;i<$count;i++));
do
  # 调用getMemFileName方法，传入参数MEMINFO_ARGS，返回文件名
  fileName=`getMemFileName "${MEMINFO_ARGS[$i]}"`
  # 输出包含${MEMINFO_ARGS[$i]}的行
  awk /"${MEMINFO_ARGS[$i]}"/'{print}' ${MEMINFO_File} > logs/${fileName}
  removeTag logs/${fileName} "${MEMINFO_ARGS[$i]}"
done
# 将分析过的日志转换成csv文件
getCSVFile
# 将时间取出来放到logs/time文件中
grep 'TIME FLAG:' ${MEMINFO_File} > logs/logtime
cat logs/logtime | while read line
do
  echo ${line#*:} >> logs/time
done
# 处理完所有行，输出行数
line_count=`awk 'END{print NR}' logs/total/Pss`
# 提取时间和TOTAL值，输出到t_u.csv文件
echo "Time,TOTAL" > logs/csv/t_u.csv
for ((j=1;j<=${line_count};j++));
do
  total_mem=`tail -n ${j} logs/total/Pss | head -n 1`
  time_mem=`tail -n ${j} logs/time | head -n 1`
  echo "${time_mem},${total_mem}" >> logs/csv/t_u_bk.csv
done
line_count=`awk 'END{print NR}' logs/csv/t_u_bk.csv`
for ((k=1;k<=${line_count};k++));
do
  total_line=`tail -n ${k} logs/csv/t_u_bk.csv | head -n 1`
    echo "$total_line" >> logs/csv/t_u.csv
done

注意：

部分手机获取到的内存文件会同时包含 "TOTAL" 和 "TOTAL:" 字段，通过替换 report.sh 脚本中的 "TOTAL" 进行区分即可

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