Ubuntu Manpage: pmseries - display information about performance metric timeseries

NAME

       pmseries - display information about performance metric timeseries

SYNOPSIS

       pmseries  [-adFiIlLmMnqsStvV?]   [-c  config] [-g pattern] [-h host] [-p port] [-w window]
       [-Z timezone] [query | labels ... | series ... | source ... ]

DESCRIPTION

pmseries displays various types of information about performance metrics available through
the scalable timeseries facilities of the Performance Co-Pilot (PCP) and the Redis
distributed data store.

By default pmseries communicates with a local redis-server(1), however the -h and -p
options can be used to specify an alternate Redis instance. If this instance is a node of
a Redis cluster, all other instances in the cluster will be discovered and used
automatically.

pmseries runs in several different modes - either querying timeseries identifiers,
metadata or values (already stored in Redis), or manually loading timeseries into Redis.
The latter mode is generally only used for loading previously collected (inactive)
archives, since pmproxy(1) automatically performs this function for "live" (actively
growing) local pmlogger(1) instances, when running in its default time series mode. See
the TIMESERIES LOADING section below and the -L option for further details.

Without command line options specifying otherwise, pmseries will issue a timeseries query
to find matching timeseries and values. All timeseries are identified using a unique
SHA-1 hash which is always displayed in a 40-hexdigit human readable form. These hashes
are formed using the metadata associated with every metric.

Importantly, this includes all metric metadata (labels, names, descriptors). Metric
labels in particular are (as far as possible) unique for every machine - on Linux for
example the labels associated with every metric include the unique /etc/machine-id, the
hostname, domainname, and other automatically generated machine labels, as well as any
administrator-defined labels from /etc/pcp/labels. These labels can be reported with
pminfo(1) and the pmcd.labels metric.

See pmLookupLabels(3), pmLookupInDom(3), pmLookupName(3) and pmLookupDesc(3) for detailed
information about metric labels and other metric metadata used in each timeseries
identifier hash calculation.

The timeseries identifiers provide a higher level (and machine independent) identifier
than the traditional PCP performance metric identifiers (pmID), instance domain
identifiers (pmInDom) and metric names. See PCPIntro(1) for more details about these
traditional identifiers. However, pmseries uses timeseries identifiers in much the same
way that pminfo(1) uses the lower level indom, metric identifiers and metric names.

The default mode of pmseries operation (i.e. with no command line options) depends on the
arguments it is presented. If all non-option arguments appear to be timeseries
identifiers (in 40 hex digit form) pmseries will report metadata for these timeseries -
refer to the -a option for details. Otherwise, the parameters will be treated as a
timeseries query.

TIMESERIES QUERIES

       Query expressions are formed using the pmseries query language described below, but can be
       as simple as a metric name.

       The following is an example of querying timeseries from all hosts that match a metric name
       pattern (globbed):

         $ pmseries kernel.all.cpu*
         1d7b0bb3f6aec0f49c54f5210885464a53629b60
         379db729afd63fb9eff436625bd6c55a7adc5cfd
         3dd3b45bb05f96636043e5d58b52b441ce542285
         [...]
         ed2bf325ff6dc7589ec966698e5404b67252306a
         dcb2a032a308b5717bf605ba8f8737e9c6e1ed19

       To identify timeseries expression operands, the query language uses the general syntax:

         [metric.name] '{metadata qualifiers}' '[time specification]'

       The metric.name component restricts the timeseries query to any matching PCP  metric  name
       (the  list of metric names for a PCP archive or live host is reported by pminfo(1) with no
       arguments beyond --host or --archive).  The pmseries syntax extends on that of pminfo  and
       allows  for  glob(7)  based  pattern matching within the metric name.  The above describes
       operands available as the leaves of pmseries expressions,  which  may  include  functions,
       arithmetic  operators  and  other features.  See the EXPRESSIONS section below for further
       details.

METADATA QUALIFIERS AND METADATA OPERATORS

       Metadata qualifiers are enclosed by ``curly'' braces ({}), and further restrict the  query
       results  to  timeseries  operands  with various metadata properties.  These qualifiers are
       based on metric or instance names, and metric label values,  and  take  the  general  form
       metadata.name OPERATOR value, such as:

         instance.name == "cpu0"
         metric.name != "kernel.all.pswitch"

       When using label names, the metadata qualifier is optional and can be dropped, such as:

         label.hostname == "www.acme.com"
         hostname == "www.acme.com"

       For metric and instance names only the string operators apply, but for metric label values
       all operators are available.  The set of available operators is:

   Boolean operators
       All string (label, metrics and instances) and numeric (label) values  can  be  tested  for
       equality ("==") or inequality ("!=").

   String operators
       Strings  can  be  subject to pattern matching in the form of glob matching ("~~"), regular
       expression matching ("=~"), and regular expression non-matching ("!~").  The ":"  operator
       is equivalent to "~~" - i.e., glob matching.

   Relational operators (numeric label values only)
       Numeric  label values can be subject to the less than ("<"), greater than (">"), less than
       or equal ("<="), greater  than  or  equal  (">="),  equal  ("==")  and  not  equal  ("!=")
       operators.

   Logical operators
       Multiple metadata qualifiers can be combined with the logical operators for AND ("&&") and
       OR ("||") as in many programming languages.  The comma (",") character  is  equivalent  to
       logical AND ("&&").

TIME SPECIFICATION

       The  final  (optional)  component  of  a  query allows the user to specify a specific time
       window of interest.  Any time specification will result in values being returned  for  all
       matching timeseries only for the time window specified.

       The  specification is ``square'' bracket ([]) enclosed, and consists of one or more comma-
       separated components.  Each component specifies some aspect related to  time,  taking  the
       general form: keyword: value, such as:

         samples:10

   Sample count
       The  number  of  samples to return, specified via either the samples or (equivalent) count
       keyword.  The value provided must be a positive integer.  If no end time is explicitly set
       (see ``Time window'' later) then the most recent samples will be returned.

   Sample interval
       An interval between successive samples can be requested using the interval or (equivalent)
       delta keyword.  The value provided should be either a numeric or string value that will be
       parsed by pmParseInterval(3), such as 5 (seconds) or 2min (minutes).

   Time window
       Start  and  end  times, and alignments, affecting the returned values.  The keywords match
       the parameters to the pmParseTimeWindow(3) function which will be used to parse them,  and
       are: start or (equivalent) begin, finish or (equivalent) end, align and offset.

   Time zones
       The  resulting  timestamps  can be returned having been evaluated for a specific timezone,
       using the timezone or hostzone keywords.  The  value  associated  with  timezone  will  be
       interpreted  by  pmNewZone(3).   A true or false value should be associated with hostzone,
       and when set to true this has the same effect as described by pmNewContextZone(3).

EXPRESSIONS

As described above, operands are the leaves of a query expression tree.

[metric.name] '{metadata qualifiers}' '[time specification]'
Note in most of the query expression examples below, the metadata qualifiers have been
omitted for brevity. In all cases, multiple time series may qualify, particularly for the
hostname label.

In the simple case, a query expression consists of a single operand and may just be a
metric name. In the more general case, a query expression is either an operand or the
argument to a function, or two operands in a binary arithmetic or logical expression.
Most functions take a single argument (an expression), though some require additional
arguments, e.g. rescale.

operand | expr operator expr | func(expr[, arg])

This grammar shows expressions may be nested, e.g. using the addition (+) operator as an
example,

func1(func2(expr))
func1(expr) + func2(expr)
expr + func(expr)
func(expr) + expr
expr + expr

Rules governing compatibility of operands in an expression generally depend on the
function and/or operators and are described below individually. An important rule is that
if any time windows are specified, then all operands must cover the same number of
samples, though the time windows may differ individually. If no time windows or sample
counts are given, then pmseries will return a series identifier (SID) instead of a series
of timestamps and values. This SID may be used in subsequent /series/values?series=SID
RESTAPI calls, along with a specific time window.

Arithmetic Operators
pmseries support addition, subtraction, division and multiplication on each value in the
time series of a binary pair of operands. No unary or ternary operators are supported
(yet). In all cases, the instance domain and the number of samples of time series
operands must be the same. The metadata (units and dimensions) must also be compatible.
Depending on the function, the result will usually have the same instance domain and
(unless noted otherwise), the same units as the operands. The metadata dimensions (space,
time, count) of the result may differ (see below).

Expression operands may have different qualifiers, e.g. you can perform binary arithmetic
on metrics qualified by different labels (such as hostname), or metric names. For
example, to add the two most recent samples of the process context switch (pswitch)
counter metric for hosts node88 and node89, and then perform rate conversion:

$ pmseries 'rate(kernel.all.pswitch{hostname:node88}[count:2] +
kernel.all.pswitch{hostname:node89}[count:2])'
1cf1a85d5978640ef94c68264d3ae8866cc11f7c
[Tue Nov 10 14:39:48.771868000 2020] 71.257509 8e0a59304eb99237b89593a3e839b5bb8b9a9924

Note the resulting time series of values has one less sample than the expression operand
passed to the rate function.

Other rules for arithmetic expressions:

1. if both operands have the semantics of a counter, then only addition and subtraction
are allowed

2. if the left operand is a counter and the right operand is not, then only multiplication
or division are allowed

3. if the left operand is not a counter and the right operand is a counter, then only
multiplication is allowed.

4. addition and subtraction - the dimensions of the result are the same as the dimensions
of the operands.

5. multiplication - the dimensions of the result are the sum of the dimensions of the
operands.

6. division - the dimensions of the result are the difference of the dimensions of the
operands.

Functions
Expression functions operate on vectors of time series values, and may be nested with
other functions or expressions as described above. When an operand has multiple
instances, there will generally be one result for each series of instances. For example,
the result for

$ pmseries 'min_sample(kernel.all.load[count:100])'

will be the smallest value of the 100 most recent samples, treating each of the three load
average instances as a separate time series. As an example, for the two most recent
samples for each of the three instances of the load average metric:

$ pmseries 'kernel.all.load[count:2]'
726a325c4c1ba4339ecffcdebd240f441ea77848
[Tue Nov 10 11:52:30.833379000 2020] 1.100000e+00 a7c96e5e2e0431a12279756d11590fa9fed8f306
[Tue Nov 10 11:52:30.833379000 2020] 9.900000e-01 ee9b506935fd0976a893dc27242926f49326b9a1
[Tue Nov 10 11:52:30.833379000 2020] 1.070000e+00 d5e1c360d13064c461169091997e1e8be7488133
[Tue Nov 10 11:52:20.827134000 2020] 1.120000e+00 a7c96e5e2e0431a12279756d11590fa9fed8f306
[Tue Nov 10 11:52:20.827134000 2020] 9.900000e-01 ee9b506935fd0976a893dc27242926f49326b9a1
[Tue Nov 10 11:52:20.827134000 2020] 1.070000e+00 d5e1c360d13064c461169091997e1e8be7488133

Using the min_sample function :

$ pmseries 'min_sample(kernel.all.load[count:2])'
11b965bc5f9598034ed9139fb3a78c6c0b7065ba
[Tue Nov 10 11:52:30.833379000 2020] 1.100000e+00 a7c96e5e2e0431a12279756d11590fa9fed8f306
[Tue Nov 10 11:52:30.833379000 2020] 9.900000e-01 ee9b506935fd0976a893dc27242926f49326b9a1
[Tue Nov 10 11:52:30.833379000 2020] 1.070000e+00 d5e1c360d13064c461169091997e1e8be7488133

For singular metrics (with no instance domain), a single value will result, e.g. for the
five most recent samples of the context switching metric:

$ pmseries 'kernel.all.pswitch[count:5]'
d7832c4fba33bcc980b1a1b614e0508043288480
[Tue Nov 10 12:44:59.380666000 2020] 460774294
[Tue Nov 10 12:44:49.382070000 2020] 460747232
[Tue Nov 10 12:44:39.378545000 2020] 460722370
[Tue Nov 10 12:44:29.379029000 2020] 460697388
[Tue Nov 10 12:44:19.379096000 2020] 460657412

$ pmseries 'min_sample(kernel.all.pswitch[count:5])'
1b6e92fb5bc012372f54452734dd03f0f131fa06
[Tue Nov 10 12:44:19.379096000 2020] 460657412 d7832c4fba33bcc980b1a1b614e0508043288480

Some pmseries functions provide operations across both time and instances domain. For
example, max_inst(expr) finds the maximum value across instances while max_sample(expr)
finds the maximum value across time.

Future versions of pmseries may provide functions that perform aggregation, interpolation,
filtering or transforms in other ways.

Function Reference
max_inst(expr) the maximum value in the time series for each instance of expr. For
backwards compatibility, the synonym max is equivalent to max_inst.

max_sample(expr) the maximum value in the time series for each sample of expr across time.

min_inst(expr) the minimum value in the time series for each instance of expr. For
backwards compatibility, the synonym min is equivalent to min_inst.

min_sample(expr) the minimum value in the time series for each sample of expr across time.

sum_inst(expr) sum of the values in the time series for each instance of expr. For
backwards compatibility, the synonym sum is equivalent to sum_inst.

sum_sample(expr) sum of the values in the time series for each sample of expr across time.

avg_inst(expr) average of the values in the time series for each instance of expr. For
backwards compatibility, the synonym avg is equivalent to avg_inst.

avg_sample(expr) average of the values in the time series for each sample of expr across
time.

rate(expr) the rate with respect to time of each sample. The given expr must have counter
semantics and the result will have instant semantics (the time dimension reduced by one).
In addition, the result will have one less sample than the operand - this is because the
first sample cannot be rate converted (two samples are required).

rescale(expr,scale) rescale the values in the time series for each instance of expr to
scale (units). Note that expr should have instant or discrete semantics (not counter -
rate conversion should be done first if needed). The time, space and count dimensions
between expr and scale must be compatible. Example: rate convert the read throughput
counter for each disk instance and then rescale to mbytes per second. Note the native
units of disk.dev.read_bytes is a counter of kbytes read from each device instance since
boot.

$ pmseries 'rescale(rate(disk.dev.read_bytes[count:4]), "mbytes/s")'

abs(expr) the absolute value of each value in the time series for each instance of expr.
This has no effect if the type of expr is unsigned.

floor(expr) rounded down to the nearest integer value of the time series for each instance
of expr.

round(expr) rounded up or down to the nearest integer for each value in the time series
for each instance of expr.

log(expr) logarithm of the values in the time series for each instance of expr

sqrt(expr) square root of the values in the time series for each instance of expr

stdev_inst(expr) standard deviation of the values in the time series for each instance of
expr.

stdev_sample(expr) standard deviation of the values in the time series for each sample of
expr across time.

topk_inst(expr,k) the top k values in the time series for each instance of expr.

topk_sample(expr,k) the top k values in the time series for each sample of expr across
time.

nth_percentile_inst(expr,percentile_value) the nth percentile of the values in the time
series for each instance of expr. Note that percentile_value has value in the range 0 to
100.

nth_percentile_sample(expr,percentile_value) the nth percentile of the values in the time
series for each sample of expr across time. Note that percentile_value has value in the
range 0 to 100.

Compatibility
All operands in an expression must have the same number of samples, but not necessarily
the same time window. e.g. you could subtract some metric time series from today from that
of yesterday by giving different time windows and different metrics or qualifiers,
ensuring the same number of samples are given as the operands.

Operands in an expression must either all have a time window, or none. If no operands
have a time window, then instead of a series of time stamps and values, the result will be
a time series identifier (SID) that may be passed to the /series/values?series=SID REST
API function, along with a time window. For further details, see PMWEBAPI(3).

If the semantics of both operands in an arithmetic expression are not counter (i.e.
PM_SEM_INSTANT or PM_SEM_DISCRETE) then the result will have semantics PM_SEM_INSTANT
unless both operands are PM_SEM_DISCRETE in which case the result is also PM_SEM_DISCRETE.

TIMESERIES METADATA

Using command line options, pmseries can be requested to provide metadata (metric names,
instance names, labels, descriptors) associated with either individual timeseries or a
group of timeseries, for example:

$ pmseries -a dcb2a032a308b5717bf605ba8f8737e9c6e1ed19

dcb2a032a308b5717bf605ba8f8737e9c6e1ed19
PMID: 60.0.21
Data Type: 64-bit unsigned int InDom: PM_INDOM_NULL 0xffffffff
Semantics: counter Units: millisec
Source: f5ca7481da8c038325d15612bb1c6473ce1ef16f
Metric: kernel.all.cpu.nice
labels {"agent":"linux","domainname":"localdomain",\
"groupid":1000,"hostname":"shard",\
"latitude":-25.28496,"longitude":152.87886,\
"machineid":"295b16e3b6074cc8bdbda8bf96f6930a",\
"userid":1000}

The complete set of pmseries metadata reporting options are:

-a, --all
Convenience option to report all metadata for the given timeseries, equivalent to
-deilms.

-d, --desc
Metric descriptions detailing the PMID, data type, data semantics, units, scale and
associated instance domain. This option has a direct pminfo(1) equivalent.

-F, --fast
Query or load series metadata only, not values.

-g pattern, --glob=pattern
Provide a glob(7) pattern to restrict the report provided by the -i, -l, -m, and -S.

-i, --instances
Metric descriptions detailing the PMID, data type, data semantics, units, scale and
associated instance domain.

-I, --fullindom
Print the InDom in verbose mode. This option has a direct pminfo(1) equivalent.

-l, --labels
Print label sets associated with metrics and instances. Labels are optional metric
metadata described in detail in pmLookupLabels(3). This option has a direct
pminfo(1) equivalent.

-m, --metrics
Print metric names.

-M, --fullpmid
Print the PMID in verbose mode. This option has a direct pminfo(1) equivalent.

-n, --names
Print comma-separated label names only (not values) for the labels associated with
metrics and instances.

-s, --series
Print timeseries identifiers associated with metrics, instances and sources. These
unique identifiers are calculated from intrinsic (non-optional) labels and other
metric metadata associated with each PMAPI context (sources), metrics and instances.
Archive, local context or pmcd(1) connections for the same host all produce the same
source identifier. This option has a direct pminfo(1) equivalent. See also
pmLookupLabels(3) and the -l/--labels option.

TIMESERIES SOURCES

       A  source  is  a  unique identifier (represented externally as a 40-byte hexadecimal SHA-1
       hash) that represents both the live  host  and/or  archives  from  which  each  timeseries
       originated.  The context for a source identifier (obtained with -s) can be reported with:

       -S, --sources
            Print  names  for  timeseries  sources.   These  names  are either hostnames or fully
            qualified archive paths.

       It is important to note that live and archived sources can  and  will  generate  the  same
       SHA-1  source  identifier  hash, provided that the context labels remain the same for that
       host (labels are stored in PCP archives and can also be fetched live from pmcd(1)).

TIMESERIES LOADING

       Timeseries metadata and data are loaded either automatically by  a  local  pmproxy(1),  or
       manually using a specially crafted pmseries query and the -L/--load option:

         $ pmseries --load "{source.path: \"$PCP_LOG_DIR/pmlogger/acme\"}"
         pmseries: [Info] processed 2275 archive records from [...]

       This  query  must  specify  a  source  archive  path,  but can also restrict the import to
       specific timeseries (using metric names, labels, etc) and to a specific time window  using
       the time specification component of the query language.

       As a convenience, if the argument to load is a valid file path as determined by access(2),
       then a short-hand form can be used:

         $ pmseries --load $PCP_LOG_DIR/pmlogger/acme.0

OPTIONS

The available command line options, in addition to timeseries metadata and sources options
described above, are:

-c config, --config=config
Specify the config file to use.

-h host, --host=host
Connect Redis server at host, rather than the one the localhost.

-L, --load
Load timeseries metadata and data into the Redis cluster.

-p port, --port=port
Connect Redis server at port, rather than the default 6379.

-q, --query
Perform a timeseries query. This is the default action.

-t, --times
Report time stamps numerically (in milliseconds) instead of the default human
readable form.

-v, --values
Report all of the known values for given label name(s), or report values for the
given series identifiers.

-w, --window
Provide a time specification that will be applied to values being returned when
returning values via use of series identifiers (i.e. when not using a query string).
The time specification uses the same square-bracket enclosed form described earlier
in the ``TIME SPECIFICATION'' section.

-V, --version
Display version number and exit.

-Z timezone, --timezone=timezone
Use timezone for the date and time. Timezone is in the format of the environment
variable TZ as described in environ(7).

-?, --help
Display usage message and exit.

EXAMPLES

       The  following  sample  query  shows  several  fundamental  aspects  of the pmseries query
       language:

         $ pmseries 'kernel.all.load{hostname:"toium"}[count:2]'

         eb713a9cf472f775aa59ae90c43cd7f960f7870f
             [Thu Nov 14 05:57:06.082861000 2019] 1.0e-01 b84040ffccd54f839b65140cf139bab51cbbcf62
             [Thu Nov 14 05:57:06.082861000 2019] 6.8e-01 a60b5b3bf25e71071c41934fa4d7d251f765f30c
             [Thu Nov 14 05:57:06.082861000 2019] 6.4e-01 e1974a062375e6e62370ffadf5b0650dad739480
             [Thu Nov 14 05:57:16.091546000 2019] 1.6e-01 b84040ffccd54f839b65140cf139bab51cbbcf62
             [Thu Nov 14 05:57:16.091546000 2019] 6.7e-01 a60b5b3bf25e71071c41934fa4d7d251f765f30c
             [Thu Nov 14 05:57:16.091546000 2019] 6.4e-01 e1974a062375e6e62370ffadf5b0650dad739480

       This query returns the two most recent values for all  instances  of  the  kernel.all.load
       metric  with  a  label.hostname  matching  the regular expression "toium".  This is a set-
       valued metric (i.e., a metric with an ``instance domain'' which in this case  consists  of
       three  instances: 1, 5 and 15 minute averages).  The first column returned is a timestamp,
       then a floating point value, and finally  an  instance  identifier  timeseries  hash  (two
       values  returned  for  three instances, so six rows are returned).  The metadata for these
       timeseries can then be further examined:

         $ pmseries -a eb713a9cf472f775aa59ae90c43cd7f960f7870f

         eb713a9cf472f775aa59ae90c43cd7f960f7870f
             PMID: 60.2.0
             Data Type: float  InDom: 60.2 0xf000002
             Semantics: instant  Units: none
             Source: 0e89c1192db79326900d82131c31399524f0b3ee
             Metric: kernel.all.load
             inst [1 or "1 minute"] series b84040ffccd54f839b65140cf139bab51cbbcf62
             inst [5 or "5 minute"] series a60b5b3bf25e71071c41934fa4d7d251f765f30c
             inst [15 or "15 minute"] series e1974a062375e6e62370ffadf5b0650dad739480
             inst [1 or "1 minute"] labels {"agent":"linux","hostname":"toium"}
             inst [5 or "5 minute"] labels {"agent":"linux","hostname":"toium"}
             inst [15 or "15 minute"] labels {"agent":"linux","hostname":"toium"}

PCP ENVIRONMENT

       Environment variables with the prefix PCP_ are used to parameterize the file and directory
       names used by PCP.  On each installation, the file /etc/pcp.conf contains the local values
       for these variables.  The $PCP_CONF  variable  may  be  used  to  specify  an  alternative
       configuration file, as described in pcp.conf(5).

       For environment variables affecting PCP tools, see pmGetOptions(3).