High CPU utilization but low load average
Solution 1:
On Linux at least, the load average and CPU utilization are actually two different things. Load average is a measurement of how many tasks are waiting in a kernel run queue (not just CPU time but also disk activity) over a period of time. CPU utilization is a measure of how busy the CPU is right now. The most load that a single CPU thread pegged at 100% for one minute can "contribute" to the 1 minute load average is 1. A 4 core CPU with hyperthreading (8 virtual cores) all at 100% for 1 minute would contribute 8 to the 1 minute load average.
Often times these two numbers have patterns that correlate to each other, but you can't think of them as the same. You can have a high load with nearly 0% CPU utilization (such as when you have a lot of IO data stuck in a wait state) and you can have a load of 1 and 100% CPU, when you have a single threaded process running full tilt. Also for short periods of time you can see the CPU at close to 100% but the load is still below 1 because the average metrics haven't "caught up" yet.
I've seen a server have a load of over 15,000 (yes really that's not a typo) and a CPU % of close to 0%. It happened because a Samba share was having issues and lots and lots of clients started getting stuck in an IO wait state. Chances are if you are seeing a regular high load number with no corresponding CPU activity, you are having a storage problem of some kind. On virtual machines this can also mean that there are other VMs heavily competing for storage resources on the same VM host.
High load is also not necessarily a bad thing, most of the time it just means the system is being utilized to it's fullest capacity or maybe is beyond it's capability to keep up (if the load number is higher than the number of processor cores). At a place I used to be a sysadmin, they had someone who watched the load average on their primary system closer than Nagios did. When the load was high, they would call me 24/7 faster than you could say SMTP. Most of the time nothing was actually wrong, but they associated the load number with something being wrong and watched it like a hawk. After checking, my response was usually that the system was just doing it's job. Of course this was the same place where the load got up over 15000 (not the same server though) so sometimes it does mean something is wrong. You have to consider the purpose of your system. If it's a workhorse, then expect the load to be naturally high.
Solution 2:
Load is a very deceptive number. Take it with a grain of salt.
If you spawn many tasks in very quick succession which complete very quickly, the number of processes in the run queue is too small to register the load for them (the kernel counts load once every five seconds).
Consider this example, on my host which has 8 logical cores, this python script will register a large CPU usage in top (about 85%), yet hardly any load.
import os, sys
while True:
for j in range(8):
parent = os.fork()
if not parent:
n = 0
for i in range(10000):
n += 1
sys.exit(0)
for j in range(8):
os.wait()
Another implementation, this one avoids wait in groups of 8 (which would skew the test). Here the parent always attempts to keep the number of children at the number of active CPUs such it will be much busier than the first method and hopefully more accurate.
/* Compile with flags -O0 */
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <unistd.h>
#include <err.h>
#include <errno.h>
#include <sys/signal.h>
#include <sys/types.h>
#include <sys/wait.h>
#define ITERATIONS 50000
int maxchild = 0;
volatile int numspawned = 0;
void childhandle(
int signal)
{
int stat;
/* Handle all exited children, until none are left to handle */
while (waitpid(-1, &stat, WNOHANG) > 0) {
numspawned--;
}
}
/* Stupid task for our children to do */
void do_task(
void)
{
int i,j;
for (i=0; i < ITERATIONS; i++)
j++;
exit(0);
}
int main() {
pid_t pid;
struct sigaction act;
sigset_t sigs, old;
maxchild = sysconf(_SC_NPROCESSORS_ONLN);
/* Setup child handler */
memset(&act, 0, sizeof(act));
act.sa_handler = childhandle;
if (sigaction(SIGCHLD, &act, NULL) < 0)
err(EXIT_FAILURE, "sigaction");
/* Defer the sigchild signal */
sigemptyset(&sigs);
sigaddset(&sigs, SIGCHLD);
if (sigprocmask(SIG_BLOCK, &sigs, &old) < 0)
err(EXIT_FAILURE, "sigprocmask");
/* Create processes, where our maxchild value is not met */
while (1) {
while (numspawned < maxchild) {
pid = fork();
if (pid < 0)
err(EXIT_FAILURE, "fork");
else if (pid == 0) /* child process */
do_task();
else /* parent */
numspawned++;
}
/* Atomically unblocks signal, handler then picks it up, reblocks on finish */
if (sigsuspend(&old) < 0 && errno != EINTR)
err(EXIT_FAILURE, "sigsuspend");
}
}
The reason for this behaviour is the algorithm spends more time creating child processes than it does running the actual task (counting to 10000). Tasks not yet created cannot count towards the 'runnable' state, yet will take up %sys on CPU time as they are spawned.
So, the answer could really be in your case that whatever work is being done spawns large numbers of tasks in quick succession (threads, or processes).
Solution 3:
If the load average doesn't increase much then it just means that your hardware specs and the nature of the tasks to be processed result in a good overall throughput, avoiding them to be piled up in the task queue for some time.
If there was a contention phenomenom because for instance the average task complexity is too high or task average processing time takes too many CPU cycles, then yes, load average would increase.
UPDATE :
It may not be clear in my original answer, so I'm clarifying now :
The exact formula of load average calculation is : loadvg = tasks running + tasks waiting (for cores) + tasks blocked.
You can definately have a good throughput and get close to a load average of 24 but without penalty on tasks processing time. On the other hand you can also have 2-4 periodic tasks not completing quickly enough, then you will see the number of task waiting (for CPU cycles) growing and you will eventually reach a high load average. Another thing that can happen is having tasks running outstanding synchronous I/O operations then blocking a core, lowering the throughput and making the waiting task queue growing (in that case you may see the iowait metric changing)
Solution 4:
While Matthew Ife's answer was very helpful and led us in the right direction, it was not exactly the what caused the behavior in our case. In our case we have a multi threaded Java application that uses thread pooling, why no work is done creating the actual tasks.
However, the actual work the threads do is short lived and includes IO waits or synchornization waits. As Matthew mentions in his answer, the load average is sampled by the OS, thus short lived tasks can be missed.
I made a Java program that reproduced the behavior. The following Java class generates a CPU utilization of 28% (650% stacked) on one of our servers. While doing this, the load average is about 1.3. The key here is the sleep() inside the thread, without it the load calculation is correct.
import java.util.concurrent.ArrayBlockingQueue;
import java.util.concurrent.ThreadPoolExecutor;
import java.util.concurrent.TimeUnit;
public class MultiThreadLoad {
private ThreadPoolExecutor e = new ThreadPoolExecutor(200, 200, 0l, TimeUnit.SECONDS,
new ArrayBlockingQueue<Runnable>(1000), new ThreadPoolExecutor.CallerRunsPolicy());
public void load() {
while (true) {
e.execute(new Runnable() {
@Override
public void run() {
sleep100Ms();
for (long i = 0; i < 5000000l; i++)
;
}
private void sleep100Ms() {
try {
Thread.sleep(100);
} catch (InterruptedException e) {
throw new RuntimeException(e);
}
}
});
}
}
public static void main(String[] args) {
new MultiThreadLoad().load();
}
}
To summarize, the theory is that the threads in our applications idle a lot and then perform short-lived work, why the tasks are not correctly sampled by the load average calculation.
Solution 5:
Load average includes tasks that are blocked on disk IO, so you can easily have zero cpu utilization and a load average of 10 just by having 10 tasks all trying to read from a very slow disk. Thus it is common for a busy server to start thrashing the disk and all of the seeking causes lots of blocked tasks, driving up the load average, while cpu usage drops, since all of the tasks are blocked on the disk.