我正在尝试编写一个.sh文件，同时运行许多程序
我试过了
prog1
prog2
但是它会运行prog1，然后等待prog1结束，然后启动prog2……
那么如何并行运行呢?
#!/bin/bash
prog1 & 2> .errorprog1.log; prog2 & 2> .errorprog2.log
将错误重定向到单独的日志。
有一个非常有用的程序调用nohup。
nohup - run a command immune to hangups, with output to a non-tty
使用GNU Parallel http://www.gnu.org/software/parallel/，它就像:
(echo prog1; echo prog2) | parallel
或者如果你喜欢:
parallel ::: prog1 prog2
了解更多:
观看介绍视频快速介绍: https://www.youtube.com/playlist?list=PL284C9FF2488BC6D1 浏览教程(man parallel_tutorial)。您的命令行 会因此爱你的。 阅读:Ole Tange, GNU Parallel 2018 (Ole Tange, 2018)。
如何:
prog1 & prog2 && fg
这将:
prog1开始。 将其发送到后台，但继续打印其输出。 启动prog2，并将其放在前台，因此可以使用ctrl-c关闭它。 当你关闭prog2时，你将返回到prog1的前台，所以你也可以用ctrl-c关闭它。
我最近遇到了类似的情况，我需要同时运行多个程序，将它们的输出重定向到独立的日志文件中，然后等待它们完成，最后我得到了这样的结果:
#!/bin/bash
# Add the full path processes to run to the array
PROCESSES_TO_RUN=("/home/joao/Code/test/prog_1/prog1" \
"/home/joao/Code/test/prog_2/prog2")
# You can keep adding processes to the array...
for i in ${PROCESSES_TO_RUN[@]}; do
${i%/*}/./${i##*/} > ${i}.log 2>&1 &
# ${i%/*} -> Get folder name until the /
# ${i##*/} -> Get the filename after the /
done
# Wait for the processes to finish
wait
来源:http://joaoperibeiro.com/execute-multiple-programs-and-redirect-their-outputs-linux/
你可以使用wait:
some_command &
P1=$!
other_command &
P2=$!
wait $P1 $P2
它将后台程序pid分配给变量($!是最后启动进程的PID)，然后wait命令等待它们。这很好，因为如果您终止了脚本，它也会终止进程!
下面是我为了并行运行最多n个进程而使用的函数(示例中n=4):
max_children=4
function parallel {
local time1=$(date +"%H:%M:%S")
local time2=""
# for the sake of the example, I'm using $2 as a description, you may be interested in other description
echo "starting $2 ($time1)..."
"$@" && time2=$(date +"%H:%M:%S") && echo "finishing $2 ($time1 -- $time2)..." &
local my_pid=$$
local children=$(ps -eo ppid | grep -w $my_pid | wc -w)
children=$((children-1))
if [[ $children -ge $max_children ]]; then
wait -n
fi
}
parallel sleep 5
parallel sleep 6
parallel sleep 7
parallel sleep 8
parallel sleep 9
wait
如果max_children被设置为核数，该函数将尝试避免空闲核。
xargs -P <n>允许并行运行<n个>命令。
虽然-P是一个非标准选项，但是GNU (Linux)和macOS/BSD实现都支持它。
示例如下:
最多同时运行3个命令， 只有在先前启动的进程终止时才启动附加命令。
time xargs -P 3 -I {} sh -c 'eval "$1"' - {} <<'EOF'
sleep 1; echo 1
sleep 2; echo 2
sleep 3; echo 3
echo 4
EOF
输出如下所示:
1 # output from 1st command
4 # output from *last* command, which started as soon as the count dropped below 3
2 # output from 2nd command
3 # output from 3rd command
real 0m3.012s
user 0m0.011s
sys 0m0.008s
计时显示这些命令是并行运行的(最后一个命令仅在最初3个命令中的第一个命令终止后启动，但执行得非常快)。
xargs命令本身在所有命令完成之前不会返回，但是您可以在后台执行它，使用控制操作符&终止它，然后使用内置的wait等待整个xargs命令完成。
{
xargs -P 3 -I {} sh -c 'eval "$1"' - {} <<'EOF'
sleep 1; echo 1
sleep 2; echo 2
sleep 3; echo 3
echo 4
EOF
} &
# Script execution continues here while `xargs` is running
# in the background.
echo "Waiting for commands to finish..."
# Wait for `xargs` to finish, via special variable $!, which contains
# the PID of the most recently started background process.
wait $!
注意:
BSD/macOS xargs要求您显式地指定并行运行的命令的数量，而GNU xargs允许您指定-P 0以并行运行尽可能多的命令。 并行运行的进程的输出在生成时到达，因此它将不可预测地交错。 正如Ole的回答中所提到的(大多数平台都不是标准的)，GNU并行在每个进程的基础上方便地序列化(分组)输出，并提供了许多更高级的特性。
进程生成管理器
Sure, technically these are processes, and this program should really be called a process spawning manager, but this is only due to the way that BASH works when it forks using the ampersand, it uses the fork() or perhaps clone() system call which clones into a separate memory space, rather than something like pthread_create() which would share memory. If BASH supported the latter, each "sequence of execution" would operate just the same and could be termed to be traditional threads whilst gaining a more efficient memory footprint. Functionally however it works the same, though a bit more difficult since GLOBAL variables are not available in each worker clone hence the use of the inter-process communication file and the rudimentary flock semaphore to manage critical sections. Forking from BASH of course is the basic answer here but I feel as if people know that but are really looking to manage what is spawned rather than just fork it and forget it. This demonstrates a way to manage up to 200 instances of forked processes all accessing a single resource. Clearly this is overkill but I enjoyed writing it so I kept on. Increase the size of your terminal accordingly. I hope you find this useful.
ME=$(basename $0)
IPC="/tmp/$ME.ipc" #interprocess communication file (global thread accounting stats)
DBG=/tmp/$ME.log
echo 0 > $IPC #initalize counter
F1=thread
SPAWNED=0
COMPLETE=0
SPAWN=1000 #number of jobs to process
SPEEDFACTOR=1 #dynamically compensates for execution time
THREADLIMIT=50 #maximum concurrent threads
TPS=1 #threads per second delay
THREADCOUNT=0 #number of running threads
SCALE="scale=5" #controls bc's precision
START=$(date +%s) #whence we began
MAXTHREADDUR=6 #maximum thread life span - demo mode
LOWER=$[$THREADLIMIT*100*90/10000] #90% worker utilization threshold
UPPER=$[$THREADLIMIT*100*95/10000] #95% worker utilization threshold
DELTA=10 #initial percent speed change
threadspeed() #dynamically adjust spawn rate based on worker utilization
{
#vaguely assumes thread execution average will be consistent
THREADCOUNT=$(threadcount)
if [ $THREADCOUNT -ge $LOWER ] && [ $THREADCOUNT -le $UPPER ] ;then
echo SPEED HOLD >> $DBG
return
elif [ $THREADCOUNT -lt $LOWER ] ;then
#if maxthread is free speed up
SPEEDFACTOR=$(echo "$SCALE;$SPEEDFACTOR*(1-($DELTA/100))"|bc)
echo SPEED UP $DELTA%>> $DBG
elif [ $THREADCOUNT -gt $UPPER ];then
#if maxthread is active then slow down
SPEEDFACTOR=$(echo "$SCALE;$SPEEDFACTOR*(1+($DELTA/100))"|bc)
DELTA=1 #begin fine grain control
echo SLOW DOWN $DELTA%>> $DBG
fi
echo SPEEDFACTOR $SPEEDFACTOR >> $DBG
#average thread duration (total elapsed time / number of threads completed)
#if threads completed is zero (less than 100), default to maxdelay/2 maxthreads
COMPLETE=$(cat $IPC)
if [ -z $COMPLETE ];then
echo BAD IPC READ ============================================== >> $DBG
return
fi
#echo Threads COMPLETE $COMPLETE >> $DBG
if [ $COMPLETE -lt 100 ];then
AVGTHREAD=$(echo "$SCALE;$MAXTHREADDUR/2"|bc)
else
ELAPSED=$[$(date +%s)-$START]
#echo Elapsed Time $ELAPSED >> $DBG
AVGTHREAD=$(echo "$SCALE;$ELAPSED/$COMPLETE*$THREADLIMIT"|bc)
fi
echo AVGTHREAD Duration is $AVGTHREAD >> $DBG
#calculate timing to achieve spawning each workers fast enough
# to utilize threadlimit - average time it takes to complete one thread / max number of threads
TPS=$(echo "$SCALE;($AVGTHREAD/$THREADLIMIT)*$SPEEDFACTOR"|bc)
#TPS=$(echo "$SCALE;$AVGTHREAD/$THREADLIMIT"|bc) # maintains pretty good
#echo TPS $TPS >> $DBG
}
function plot()
{
echo -en \\033[${2}\;${1}H
if [ -n "$3" ];then
if [[ $4 = "good" ]];then
echo -en "\\033[1;32m"
elif [[ $4 = "warn" ]];then
echo -en "\\033[1;33m"
elif [[ $4 = "fail" ]];then
echo -en "\\033[1;31m"
elif [[ $4 = "crit" ]];then
echo -en "\\033[1;31;4m"
fi
fi
echo -n "$3"
echo -en "\\033[0;39m"
}
trackthread() #displays thread status
{
WORKERID=$1
THREADID=$2
ACTION=$3 #setactive | setfree | update
AGE=$4
TS=$(date +%s)
COL=$[(($WORKERID-1)/50)*40]
ROW=$[(($WORKERID-1)%50)+1]
case $ACTION in
"setactive" )
touch /tmp/$ME.$F1$WORKERID #redundant - see main loop
#echo created file $ME.$F1$WORKERID >> $DBG
plot $COL $ROW "Worker$WORKERID: ACTIVE-TID:$THREADID INIT " good
;;
"update" )
plot $COL $ROW "Worker$WORKERID: ACTIVE-TID:$THREADID AGE:$AGE" warn
;;
"setfree" )
plot $COL $ROW "Worker$WORKERID: FREE " fail
rm /tmp/$ME.$F1$WORKERID
;;
* )
;;
esac
}
getfreeworkerid()
{
for i in $(seq 1 $[$THREADLIMIT+1])
do
if [ ! -e /tmp/$ME.$F1$i ];then
#echo "getfreeworkerid returned $i" >> $DBG
break
fi
done
if [ $i -eq $[$THREADLIMIT+1] ];then
#echo "no free threads" >> $DBG
echo 0
#exit
else
echo $i
fi
}
updateIPC()
{
COMPLETE=$(cat $IPC) #read IPC
COMPLETE=$[$COMPLETE+1] #increment IPC
echo $COMPLETE > $IPC #write back to IPC
}
worker()
{
WORKERID=$1
THREADID=$2
#echo "new worker WORKERID:$WORKERID THREADID:$THREADID" >> $DBG
#accessing common terminal requires critical blocking section
(flock -x -w 10 201
trackthread $WORKERID $THREADID setactive
)201>/tmp/$ME.lock
let "RND = $RANDOM % $MAXTHREADDUR +1"
for s in $(seq 1 $RND) #simulate random lifespan
do
sleep 1;
(flock -x -w 10 201
trackthread $WORKERID $THREADID update $s
)201>/tmp/$ME.lock
done
(flock -x -w 10 201
trackthread $WORKERID $THREADID setfree
)201>/tmp/$ME.lock
(flock -x -w 10 201
updateIPC
)201>/tmp/$ME.lock
}
threadcount()
{
TC=$(ls /tmp/$ME.$F1* 2> /dev/null | wc -l)
#echo threadcount is $TC >> $DBG
THREADCOUNT=$TC
echo $TC
}
status()
{
#summary status line
COMPLETE=$(cat $IPC)
plot 1 $[$THREADLIMIT+2] "WORKERS $(threadcount)/$THREADLIMIT SPAWNED $SPAWNED/$SPAWN COMPLETE $COMPLETE/$SPAWN SF=$SPEEDFACTOR TIMING=$TPS"
echo -en '\033[K' #clear to end of line
}
function main()
{
while [ $SPAWNED -lt $SPAWN ]
do
while [ $(threadcount) -lt $THREADLIMIT ] && [ $SPAWNED -lt $SPAWN ]
do
WID=$(getfreeworkerid)
worker $WID $SPAWNED &
touch /tmp/$ME.$F1$WID #if this loops faster than file creation in the worker thread it steps on itself, thread tracking is best in main loop
SPAWNED=$[$SPAWNED+1]
(flock -x -w 10 201
status
)201>/tmp/$ME.lock
sleep $TPS
if ((! $[$SPAWNED%100]));then
#rethink thread timing every 100 threads
threadspeed
fi
done
sleep $TPS
done
while [ "$(threadcount)" -gt 0 ]
do
(flock -x -w 10 201
status
)201>/tmp/$ME.lock
sleep 1;
done
status
}
clear
threadspeed
main
wait
status
echo
使用bashj (https://sourceforge.net/projects/bashj/)，您不仅可以运行多个进程(其他人建议的方式)，还可以在一个JVM中运行多个线程，这些线程由您的脚本控制。当然，这需要java JDK。线程比进程消耗更少的资源。
下面是一个工作代码:
#!/usr/bin/bashj
#!java
public static int cnt=0;
private static void loop() {u.p("java says cnt= "+(cnt++));u.sleep(1.0);}
public static void startThread()
{(new Thread(() -> {while (true) {loop();}})).start();}
#!bashj
j.startThread()
while [ j.cnt -lt 4 ]
do
echo "bash views cnt=" j.cnt
sleep 0.5
done
如果你想用ctrl-c轻松地运行和杀死多个进程，这是我最喜欢的方法:在一个(…)subshell中生成多个后台进程，并捕获SIGINT来执行kill 0，这将杀死subshell组中生成的所有内容:
(trap 'kill 0' SIGINT; prog1 & prog2 & prog3)
你可以有复杂的进程执行结构，所有的事情都可以用一个ctrl-c来结束(只要确保最后一个进程是在前台运行的，也就是说，在prog1.3之后不要包含&):
(trap 'kill 0' SIGINT; prog1.1 && prog1.2 & (prog2.1 | prog2.2 || prog2.3) & prog1.3)
如果最后一个命令可能会提前退出，而您希望保持其他所有命令的运行，则添加wait作为最后一个命令。在下面的例子中，sleep 2会先退出，在sleep 4结束之前杀死它;添加wait可以让两者都运行到完成:
(trap 'kill 0' SIGINT; sleep 4 & sleep 2 & wait)
你的脚本应该是这样的:
prog1 &
prog2 &
.
.
progn &
wait
progn+1 &
progn+2 &
.
.
假设你的系统一次可以处理n个任务。使用wait一次只运行n个作业。
如果你是:
在Mac上使用iTerm 想要启动各种长期打开的进程，直到按Ctrl+C 希望能够轻松地看到每个进程的输出 希望能够轻松地使用Ctrl+C停止特定进程
如果你的用例更多的是应用监控/管理，一种选择是编写终端本身的脚本。
例如，我最近做了以下事情。当然，它是特定于Mac的，特定于iTerm的，并且依赖于已弃用的Apple Script API (iTerm有一个更新的Python选项)。它没有赢得任何优雅奖，但完成了任务。
#!/bin/sh
root_path="~/root-path"
auth_api_script="$root_path/auth-path/auth-script.sh"
admin_api_proj="$root_path/admin-path/admin.csproj"
agent_proj="$root_path/agent-path/agent.csproj"
dashboard_path="$root_path/dashboard-web"
osascript <<THEEND
tell application "iTerm"
set newWindow to (create window with default profile)
tell current session of newWindow
set name to "Auth API"
write text "pushd $root_path && $auth_api_script"
end tell
tell newWindow
set newTab to (create tab with default profile)
tell current session of newTab
set name to "Admin API"
write text "dotnet run --debug -p $admin_api_proj"
end tell
end tell
tell newWindow
set newTab to (create tab with default profile)
tell current session of newTab
set name to "Agent"
write text "dotnet run --debug -p $agent_proj"
end tell
end tell
tell newWindow
set newTab to (create tab with default profile)
tell current session of newTab
set name to "Dashboard"
write text "pushd $dashboard_path; ng serve -o"
end tell
end tell
end tell
THEEND
这对我来说非常有用(在这里找到):
sh -c 'command1 & command2 & command3 & wait'
它混合输出每个命令的所有日志(这是我想要的)，并使用ctrl+c杀死所有日志。
如果您有一个GUI终端，您可以为希望并行运行的每个进程生成一个新的选项卡终端实例。
这样做的好处是，每个程序都在自己的选项卡中运行，它可以独立于其他运行的程序进行交互和管理。
例如，在Ubuntu 20.04上:
gnome-terminal --tab -- bash -c 'prog1'
gnome-terminal --tab -- bash -c 'prog2'
要按顺序运行某些程序或其他命令，可以添加;
gnome-terminal --tab -- bash -c 'prog1_1; prog1_2'
gnome-terminal --tab -- bash -c 'prog2'
我发现对于某些程序，终端在启动之前就关闭了。对于这些程序，我将终端命令与;等待或;睡眠1
gnome-terminal --tab -- bash -c 'prog1; wait'
对于Mac OS，你必须为你正在使用的终端找到一个等效的命令——我没有在Mac OS上测试，因为我没有Mac。
由于某些原因，我不能使用等待，我想出了这个解决方案:
# create a hashmap of the tasks name -> its command
declare -A tasks=(
["Sleep 3 seconds"]="sleep 3"
["Check network"]="ping imdb.com"
["List dir"]="ls -la"
)
# execute each task in the background, redirecting their output to a custom file descriptor
fd=10
for task in "${!tasks[@]}"; do
script="${tasks[${task}]}"
eval "exec $fd< <(${script} 2>&1 || (echo $task failed with exit code \${?}! && touch tasks_failed))"
((fd+=1))
done
# print the outputs of the tasks and wait for them to finish
fd=10
for task in "${!tasks[@]}"; do
cat <&$fd
((fd+=1))
done
# determine the exit status
# by checking whether the file "tasks_failed" has been created
if [ -e tasks_failed ]; then
echo "Task(s) failed!"
exit 1
else
echo "All tasks finished without an error!"
exit 0
fi
这里有很多有趣的答案，但我从这个答案中获得了灵感，并将一个简单的脚本组合在一起，并行运行多个进程，并在完成后处理结果。你可以在以下要点中找到它:
#!/usr/bin/env bash
# inspired by https://stackoverflow.com/a/29535256/2860309
pids=""
failures=0
function my_process() {
seconds_to_sleep=$1
exit_code=$2
sleep "$seconds_to_sleep"
return "$exit_code"
}
(my_process 1 0) &
pid=$!
pids+=" ${pid}"
echo "${pid}: 1 second to success"
(my_process 1 1) &
pid=$!
pids+=" ${pid}"
echo "${pid}: 1 second to failure"
(my_process 2 0) &
pid=$!
pids+=" ${pid}"
echo "${pid}: 2 seconds to success"
(my_process 2 1) &
pid=$!
pids+=" ${pid}"
echo "${pid}: 2 seconds to failure"
echo "..."
for pid in $pids; do
if wait "$pid"; then
echo "Process $pid succeeded"
else
echo "Process $pid failed"
failures=$((failures+1))
fi
done
echo
echo "${failures} failures detected"
结果是:
86400: 1 second to success
86401: 1 second to failure
86402: 2 seconds to success
86404: 2 seconds to failure
...
Process 86400 succeeded
Process 86401 failed
Process 86402 succeeded
Process 86404 failed
2 failures detected
