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mirror_zfs/cmd/zpool_influxdb/README.md
Richard Elling e9527d44e6
Add zpool_influxdb command 
A zpool_influxdb command is introduced to ease the collection
of zpool statistics into the InfluxDB time-series database.
Examples are given on how to integrate with the telegraf
statistics aggregator, a companion to influxdb.

Finally, a grafana dashboard template is included to show
how pool latency distributions can be visualized in a
ZFS + telegraf + influxdb  + grafana environment.

Reviewed-by: Brian Behlendorf <behlendorf1@llnl.gov>
Reviewed-by: Ryan Moeller <ryan@iXsystems.com>
Signed-off-by: Richard Elling <Richard.Elling@RichardElling.com>
Closes #10786
2020-10-09 09:29:21 -07:00

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# Influxdb Metrics for ZFS Pools
The _zpool_influxdb_ program produces
[influxdb](https://github.com/influxdata/influxdb) line protocol
compatible metrics from zpools. In the UNIX tradition, _zpool_influxdb_
does one thing: read statistics from a pool and print them to
stdout. In many ways, this is a metrics-friendly output of
statistics normally observed via the `zpool` command.
## Usage
When run without arguments, _zpool_influxdb_ runs once, reading data
from all imported pools, and prints to stdout.
```shell
zpool_influxdb [options] [poolname]
```
If no poolname is specified, then all pools are sampled.
| option | short option | description |
|---|---|---|
| --execd | -e | For use with telegraf's `execd` plugin. When [enter] is pressed, the pools are sampled. To exit, use [ctrl+D] |
| --no-histogram | -n | Do not print histogram information |
| --signed-int | -i | Use signed integer data type (default=unsigned) |
| --sum-histogram-buckets | -s | Sum histogram bucket values |
| --tags key=value[,key=value...] | -t | Add tags to data points. No tag sanity checking is performed. |
| --help | -h | Print a short usage message |
#### Histogram Bucket Values
The histogram data collected by ZFS is stored as independent bucket values.
This works well out-of-the-box with an influxdb data source and grafana's
heatmap visualization. The influxdb query for a grafana heatmap
visualization looks like:
```
field(disk_read) last() non_negative_derivative(1s)
```
Another method for storing histogram data sums the values for lower-value
buckets. For example, a latency bucket tagged "le=10" includes the values
in the bucket "le=1".
This method is often used for prometheus histograms.
The `zpool_influxdb --sum-histogram-buckets` option presents the data from ZFS
as summed values.
## Measurements
The following measurements are collected:
| measurement | description | zpool equivalent |
|---|---|---|
| zpool_stats | general size and data | zpool list |
| zpool_scan_stats | scrub, rebuild, and resilver statistics (omitted if no scan has been requested) | zpool status |
| zpool_vdev_stats | per-vdev statistics | zpool iostat -q |
| zpool_io_size | per-vdev I/O size histogram | zpool iostat -r |
| zpool_latency | per-vdev I/O latency histogram | zpool iostat -w |
| zpool_vdev_queue | per-vdev instantaneous queue depth | zpool iostat -q |
### zpool_stats Description
zpool_stats contains top-level summary statistics for the pool.
Performance counters measure the I/Os to the pool's devices.
#### zpool_stats Tags
| label | description |
|---|---|
| name | pool name |
| path | for leaf vdevs, the pathname |
| state | pool state, as shown by _zpool status_ |
| vdev | vdev name (root = entire pool) |
#### zpool_stats Fields
| field | units | description |
|---|---|---|
| alloc | bytes | allocated space |
| free | bytes | unallocated space |
| size | bytes | total pool size |
| read_bytes | bytes | bytes read since pool import |
| read_errors | count | number of read errors |
| read_ops | count | number of read operations |
| write_bytes | bytes | bytes written since pool import |
| write_errors | count | number of write errors |
| write_ops | count | number of write operations |
### zpool_scan_stats Description
Once a pool has been scrubbed, resilvered, or rebuilt, the zpool_scan_stats
contain information about the status and performance of the operation.
Otherwise, the zpool_scan_stats do not exist in the kernel, and therefore
cannot be reported by this collector.
#### zpool_scan_stats Tags
| label | description |
|---|---|
| name | pool name |
| function | name of the scan function running or recently completed |
| state | scan state, as shown by _zpool status_ |
#### zpool_scan_stats Fields
| field | units | description |
|---|---|---|
| errors | count | number of errors encountered by scan |
| examined | bytes | total data examined during scan |
| to_examine | bytes | prediction of total bytes to be scanned |
| pass_examined | bytes | data examined during current scan pass |
| issued | bytes | size of I/Os issued to disks |
| pass_issued | bytes | size of I/Os issued to disks for current pass |
| processed | bytes | data reconstructed during scan |
| to_process | bytes | total bytes to be repaired |
| rate | bytes/sec | examination rate |
| start_ts | epoch timestamp | start timestamp for scan |
| pause_ts | epoch timestamp | timestamp for a scan pause request |
| end_ts | epoch timestamp | completion timestamp for scan |
| paused_t | seconds | elapsed time while paused |
| remaining_t | seconds | estimate of time remaining for scan |
### zpool_vdev_stats Description
The ZFS I/O (ZIO) scheduler uses five queues to schedule I/Os to each vdev.
These queues are further divided into active and pending states.
An I/O is pending prior to being issued to the vdev. An active
I/O has been issued to the vdev. The scheduler and its tunable
parameters are described at the
[ZFS documentation for ZIO Scheduler]
(https://openzfs.github.io/openzfs-docs/Performance%20and%20Tuning/ZIO%20Scheduler.html)
The ZIO scheduler reports the queue depths as gauges where the value
represents an instantaneous snapshot of the queue depth at
the sample time. Therefore, it is not unusual to see all zeroes
for an idle pool.
#### zpool_vdev_stats Tags
| label | description |
|---|---|
| name | pool name |
| vdev | vdev name (root = entire pool) |
#### zpool_vdev_stats Fields
| field | units | description |
|---|---|---|
| sync_r_active_queue | entries | synchronous read active queue depth |
| sync_w_active_queue | entries | synchronous write active queue depth |
| async_r_active_queue | entries | asynchronous read active queue depth |
| async_w_active_queue | entries | asynchronous write active queue depth |
| async_scrub_active_queue | entries | asynchronous scrub active queue depth |
| sync_r_pend_queue | entries | synchronous read pending queue depth |
| sync_w_pend_queue | entries | synchronous write pending queue depth |
| async_r_pend_queue | entries | asynchronous read pending queue depth |
| async_w_pend_queue | entries | asynchronous write pending queue depth |
| async_scrub_pend_queue | entries | asynchronous scrub pending queue depth |
### zpool_latency Histogram
ZFS tracks the latency of each I/O in the ZIO pipeline. This latency can
be useful for observing latency-related issues that are not easily observed
using the averaged latency statistics.
The histogram fields show cumulative values from lowest to highest.
The largest bucket is tagged "le=+Inf", representing the total count
of I/Os by type and vdev.
#### zpool_latency Histogram Tags
| label | description |
|---|---|
| le | bucket for histogram, latency is less than or equal to bucket value in seconds |
| name | pool name |
| path | for leaf vdevs, the device path name, otherwise omitted |
| vdev | vdev name (root = entire pool) |
#### zpool_latency Histogram Fields
| field | units | description |
|---|---|---|
| total_read | operations | read operations of all types |
| total_write | operations | write operations of all types |
| disk_read | operations | disk read operations |
| disk_write | operations | disk write operations |
| sync_read | operations | ZIO sync reads |
| sync_write | operations | ZIO sync writes |
| async_read | operations | ZIO async reads|
| async_write | operations | ZIO async writes |
| scrub | operations | ZIO scrub/scan reads |
| trim | operations | ZIO trim (aka unmap) writes |
### zpool_io_size Histogram
ZFS tracks I/O throughout the ZIO pipeline. The size of each I/O is used
to create a histogram of the size by I/O type and vdev. For example, a
4KiB write to mirrored pool will show a 4KiB write to the top-level vdev
(root) and a 4KiB write to each of the mirror leaf vdevs.
The ZIO pipeline can aggregate I/O operations. For example, a contiguous
series of writes can be aggregated into a single, larger I/O to the leaf
vdev. The independent I/O operations reflect the logical operations and
the aggregated I/O operations reflect the physical operations.
The histogram fields show cumulative values from lowest to highest.
The largest bucket is tagged "le=+Inf", representing the total count
of I/Os by type and vdev.
Note: trim I/Os can be larger than 16MiB, but the larger sizes are
accounted in the 16MiB bucket.
#### zpool_io_size Histogram Tags
| label | description |
|---|---|
| le | bucket for histogram, I/O size is less than or equal to bucket value in bytes |
| name | pool name |
| path | for leaf vdevs, the device path name, otherwise omitted |
| vdev | vdev name (root = entire pool) |
#### zpool_io_size Histogram Fields
| field | units | description |
|---|---|---|
| sync_read_ind | blocks | independent sync reads |
| sync_write_ind | blocks | independent sync writes |
| async_read_ind | blocks | independent async reads |
| async_write_ind | blocks | independent async writes |
| scrub_read_ind | blocks | independent scrub/scan reads |
| trim_write_ind | blocks | independent trim (aka unmap) writes |
| sync_read_agg | blocks | aggregated sync reads |
| sync_write_agg | blocks | aggregated sync writes |
| async_read_agg | blocks | aggregated async reads |
| async_write_agg | blocks | aggregated async writes |
| scrub_read_agg | blocks | aggregated scrub/scan reads |
| trim_write_agg | blocks | aggregated trim (aka unmap) writes |
#### About unsigned integers
Telegraf v1.6.2 and later support unsigned 64-bit integers which more
closely matches the uint64_t values used by ZFS. By default, zpool_influxdb
uses ZFS' uint64_t values and influxdb line protocol unsigned integer type.
If you are using old telegraf or influxdb where unsigned integers are not
available, use the `--signed-int` option.
## Using _zpool_influxdb_
The simplest method is to use the execd input agent in telegraf. For older
versions of telegraf which lack execd, the exec input agent can be used.
For convenience, one of the sample config files below can be placed in the
telegraf config-directory (often /etc/telegraf/telegraf.d). Telegraf can
be restarted to read the config-directory files.
### Example telegraf execd configuration
```toml
# # Read metrics from zpool_influxdb
[[inputs.execd]]
# ## default installation location for zpool_influxdb command
command = ["/usr/bin/zpool_influxdb", "--execd"]
## Define how the process is signaled on each collection interval.
## Valid values are:
## "none" : Do not signal anything. (Recommended for service inputs)
## The process must output metrics by itself.
## "STDIN" : Send a newline on STDIN. (Recommended for gather inputs)
## "SIGHUP" : Send a HUP signal. Not available on Windows. (not recommended)
## "SIGUSR1" : Send a USR1 signal. Not available on Windows.
## "SIGUSR2" : Send a USR2 signal. Not available on Windows.
signal = "STDIN"
## Delay before the process is restarted after an unexpected termination
restart_delay = "10s"
## Data format to consume.
## Each data format has its own unique set of configuration options, read
## more about them here:
## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
data_format = "influx"
```
### Example telegraf exec configuration
```toml
# # Read metrics from zpool_influxdb
[[inputs.exec]]
# ## default installation location for zpool_influxdb command
commands = ["/usr/bin/zpool_influxdb"]
data_format = "influx"
```
## Caveat Emptor
* Like the _zpool_ command, _zpool_influxdb_ takes a reader
lock on spa_config for each imported pool. If this lock blocks,
then the command will also block indefinitely and might be
unkillable. This is not a normal condition, but can occur if
there are bugs in the kernel modules.
For this reason, care should be taken:
* avoid spawning many of these commands hoping that one might
finish
* avoid frequent updates or short sample time
intervals, because the locks can interfere with the performance
of other instances of _zpool_ or _zpool_influxdb_
## Other collectors
There are a few other collectors for zpool statistics roaming around
the Internet. Many attempt to screen-scrape `zpool` output in various
ways. The screen-scrape method works poorly for `zpool` output because
of its human-friendly nature. Also, they suffer from the same caveats
as this implementation. This implementation is optimized for directly
collecting the metrics and is much more efficient than the screen-scrapers.
## Feedback Encouraged
Pull requests and issues are greatly appreciated at
https://github.com/openzfs/zfs
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