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

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

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。

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!

你可以试试ppss(废弃)。PPSS非常强大——你甚至可以创建一个迷你集群。 如果您有一批令人尴尬的并行处理要做，xargs -P也很有用。