如果您有bash 4.2或更高版本可用，以下内容可能对您有用。它使用关联数组存储任务名称及其“代码”，以及任务名称及其pid。我还内置了一个简单的速率限制方法，如果你的任务消耗了大量CPU或I/O时间，你想限制并发任务的数量，这个方法可能会派上用场。

脚本在第一个循环中启动所有任务，在第二个循环中使用结果。

对于简单的情况，这有点过分，但它允许非常简洁的东西。例如，可以将每个任务的错误消息存储在另一个关联数组中，并在一切都解决后打印它们。

#! /bin/bash

main () {
    local -A pids=()
    local -A tasks=([task1]="echo 1"
                    [task2]="echo 2"
                    [task3]="echo 3"
                    [task4]="false"
                    [task5]="echo 5"
                    [task6]="false")
    local max_concurrent_tasks=2

    for key in "${!tasks[@]}"; do
        while [ $(jobs 2>&1 | grep -c Running) -ge "$max_concurrent_tasks" ]; do
            sleep 1 # gnu sleep allows floating point here...
        done
        ${tasks[$key]} &
        pids+=(["$key"]="$!")
    done

    errors=0
    for key in "${!tasks[@]}"; do
        pid=${pids[$key]}
        local cur_ret=0
        if [ -z "$pid" ]; then
            echo "No Job ID known for the $key process" # should never happen
            cur_ret=1
        else
            wait $pid
            cur_ret=$?
        fi
        if [ "$cur_ret" -ne 0 ]; then
            errors=$(($errors + 1))
            echo "$key (${tasks[$key]}) failed."
        fi
    done

    return $errors
}

main

下面的代码将等待所有计算的完成，并在任何doccalculation失败时返回退出状态1。

#!/bin/bash
for i in $(seq 0 9); do
   (doCalculations $i >&2 & wait %1; echo $?) &
done | grep -qv 0 && exit 1

为了将此并行化…

for i in $(whatever_list) ; do
   do_something $i
done

翻译成这样…

for i in $(whatever_list) ; do echo $i ; done | ## execute in parallel...
   (
   export -f do_something ## export functions (if needed)
   export PATH ## export any variables that are required
   xargs -I{} --max-procs 0 bash -c ' ## process in batches...
      {
      echo "processing {}" ## optional
      do_something {}
      }' 
   )

If an error occurs in one process, it won't interrupt the other processes, but it will result in a non-zero exit code from the sequence as a whole. Exporting functions and variables may or may not be necessary, in any particular case. You can set --max-procs based on how much parallelism you want (0 means "all at once"). GNU Parallel offers some additional features when used in place of xargs -- but it isn't always installed by default. The for loop isn't strictly necessary in this example since echo $i is basically just regenerating the output of $(whatever_list). I just think the use of the for keyword makes it a little easier to see what is going on. Bash string handling can be confusing -- I have found that using single quotes works best for wrapping non-trivial scripts. You can easily interrupt the entire operation (using ^C or similar), unlike the the more direct approach to Bash parallelism.

下面是一个简化的工作示例……

for i in {0..5} ; do echo $i ; done |xargs -I{} --max-procs 2 bash -c '
   {
   echo sleep {}
   sleep 2s
   }'

如果你安装了GNU Parallel，你可以这样做:

# If doCalculations is a function
export -f doCalculations
seq 0 9 | parallel doCalculations {}

GNU Parallel会给你退出代码:

0 -所有作业运行无错误。 1-253 -部分作业失败。退出状态给出了失败作业的数量 254—超过253个作业失败。 255 -其他错误。

观看介绍视频了解更多信息:http://pi.dk/1

从Bash 5.1开始，由于引入了wait -p，有了一种很好的等待和处理多个后台作业结果的新方法:

#!/usr/bin/env bash

# Spawn background jobs
for ((i=0; i < 10; i++)); do
    secs=$((RANDOM % 10)); code=$((RANDOM % 256))
    (sleep ${secs}; exit ${code}) &
    echo "Started background job (pid: $!, sleep: ${secs}, code: ${code})"
done

# Wait for background jobs, print individual results, determine overall result
result=0
while true; do
    wait -n -p pid; code=$?
    [[ -z "${pid}" ]] && break
    echo "Background job ${pid} finished with code ${code}"
    (( ${code} != 0 )) && result=1
done

# Return overall result
exit ${result}

我需要这个，但目标进程不是当前shell的子进程，在这种情况下，等待$PID不起作用。我确实找到了以下替代方案:

while [ -e /proc/$PID ]; do sleep 0.1 ; done

这依赖于procfs的存在，它可能不可用(例如Mac不提供它)。所以对于可移植性，你可以用这个代替:

while ps -p $PID >/dev/null ; do sleep 0.1 ; done