2024-09-04
iostat
OutputThe basic syntax of iostat
is simple:
iostat
Running this command without any arguments will display aggregate I/O statistics for all devices. The output might look like this (your numbers will differ):
Linux 5.15.0-76-generic (my-server) 10/26/2023 _x86_64_ (2 CPU)
avg-cpu: %user %nice %system %iowait %steal %idle
0.25 0.00 0.23 0.01 0.00 99.51
Device: rrqm/s wrqm/s r/s w/s rMB/s wMB/s avgrq-sz avgqu-sz await svctm %util
sda 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
Let’s break down some key columns:
sda
, sdb
, /dev/nvme0n1
).To monitor I/O performance over a period of time, use the -x
(extended statistics) and -t
(timestamp) options, along with the -I
option to include detailed information on the CPU usage:
iostat -x -t -I -d 1 5
This command will display extended statistics every second for 5 seconds. The -d
flag specifies that only disk devices should be displayed. This provides a more granular view of I/O activity, allowing you to identify short-lived spikes or sustained periods of high load.
If you’re only interested in the performance of a particular device, specify it as an argument:
iostat -x /dev/sda
This will only show detailed statistics for the /dev/sda
device.
Different I/O schedulers (e.g., cfq
, noop
, deadline
) impact performance differently. You can use iostat
in conjunction with other commands to investigate this. However, this involves deeper system administration concepts and requires more context specific investigation.
iostat
Results for TroubleshootingHigh values for avgqu-sz
, await
, and %util
suggest potential I/O bottlenecks. For example, if %util
is consistently near 100% for a specific device, it indicates that the disk is saturated and unable to keep up with the I/O requests. This might necessitate upgrading the disk, optimizing database queries, or investigating other performance issues within your application. Analyzing the r/s
and w/s
values, in conjunction with the average queue size and wait times, can help to pinpoint whether read or write operations are the limiting factor.
By carefully observing the output of iostat
and understanding its metrics, you can gain a better understanding of your system’s I/O performance and effectively address any bottlenecks impacting application performance and system responsiveness.