Return-Path: Received: (majordomo@vger.kernel.org) by vger.kernel.org via listexpand id S932438AbWESQMS (ORCPT ); Fri, 19 May 2006 12:12:18 -0400 Received: (majordomo@vger.kernel.org) by vger.kernel.org id S932437AbWESQMR (ORCPT ); Fri, 19 May 2006 12:12:17 -0400 Received: from mtagate1.de.ibm.com ([195.212.29.150]:3861 "EHLO mtagate1.de.ibm.com") by vger.kernel.org with ESMTP id S932436AbWESQMP (ORCPT ); Fri, 19 May 2006 12:12:15 -0400 Subject: [Patch 4/6] statistics infrastructure - documentation From: Martin Peschke To: Andrew Morton Cc: "linux-kernel@vger.kernel.org" Content-Type: text/plain Date: Fri, 19 May 2006 18:12:12 +0200 Message-Id: <1148055132.2974.17.camel@dyn-9-152-230-71.boeblingen.de.ibm.com> Mime-Version: 1.0 X-Mailer: Evolution 2.2.3 (2.2.3-4.fc4) Content-Transfer-Encoding: 7bit Sender: linux-kernel-owner@vger.kernel.org X-Mailing-List: linux-kernel@vger.kernel.org Content-Length: 25629 Lines: 773 documentation for developers and users Signed-off-by: Martin Peschke --- 00-INDEX | 2 statistics.txt | 741 +++++++++++++++++++++++++++++++++++++++++++++++++++++++++ 2 files changed, 743 insertions(+) diff -Nurp a/Documentation/00-INDEX b/Documentation/00-INDEX --- a/Documentation/00-INDEX 2006-03-20 06:53:29.000000000 +0100 +++ b/Documentation/00-INDEX 2006-05-19 16:02:09.000000000 +0200 @@ -264,6 +264,8 @@ stable_kernel_rules.txt - rules and procedures for the -stable kernel releases. stallion.txt - info on using the Stallion multiport serial driver. +statistics.txt + - info on statistics infrastructure available for drivers and others svga.txt - short guide on selecting video modes at boot via VGA BIOS. sx.txt diff -Nurp a/Documentation/statistics.txt b/Documentation/statistics.txt --- a/Documentation/statistics.txt 1970-01-01 01:00:00.000000000 +0100 +++ b/Documentation/statistics.txt 2006-05-19 16:23:32.000000000 +0200 @@ -0,0 +1,741 @@ + + Statistics infrastructure + +0. Which problems is it meant to solve? +1. Concepts +2. Performance +3. Modes of data processing +4. User interface +5. Programming interface +6. Possible future enhancements and known bugs +7. Contact + + + + + 0. Which problems is it meant to solve? + +This common code layer implements statistics in a device driver independent +and architecture independent way. It minimizes the effort by providing a simple +programming interface. Added benefit is a generic user interface. + + + + + 1. Concepts + + Overview + +The following figure depicts how the statistics infrastructure +fits into the global picture, and how it interacts with both exploiting +kernel code as well as users. + + USER : KERNEL + : + user statistics programming + interface infrastructure interface exploiter + : +------------------+ : +-----------------+ + : | process data and | : | collect and | + "data" : | provide output | (X, Y) | report data | + <====================| to user |<==============| as (X, Y) pairs | + file : | ^ | : | | + : | ^ | : | | + : | ^ | : | | + : | ^ | : | create/discard | + "definition" : | display settings | : | statistics, | + <===================>| and accept |<==============| provide default | + file : | changed settings | : | settings | + : +------------------+ : +-----------------+ + : : + +Actual semantics of the data that feeds a statistic is unimportant when it +comes to data processing. All that matters is how the user wants the data to +be presented (counters, histograms, and so on). That's a job that can be +be done by a generic layer without intervention by the device driver +which is the actual source of statistics data. + + + The role of the statistics infrastructure + +It is the statistic infrastructure's task to accept or drop, accumulate, +compute and store, as well as display statistics data according to the +current settings. + + + The role of exploiters + +It is the exploiter's (e.g. device driver's) responsibility to feed the +statistics infrastructure with sampled data for the statistics maintained by the +statistics infrastructure on behalf of the exploiter. + +It would be nice of any exploiter to provide a default configuration for each +statistic that most likely works best for general purpose use. + + + The role of users + +It is the user's freedom to configure how accumulation, computation and +display of data are done, according to their needs. + + + The form of reported data + +Exploiters report data in the form of (X, Y) value pairs with X being +a quantity for the main characteristic of the statistic, like a request size +or request latency, and with Y being a qualifier for that characteristic, +i.e. the occurrence of a particular X-value. + +Thus, the Y-part can be seen as an optimisation that allows exploiters +to report a bunch of similar measurements in one call (see statistic_add()). +For the programmer's convenience, Y can be omitted when it would be always 1 +(see statistic_inc()). + + + How data is reported + +There are two methods how such data can be provided to the statistics +infrastructure, a push interface and a pull interface. Each statistic +is either a pull-type or push-type statistic as determined by the exploiter. + +The push-interface is suitable for data feeds that report incremental updates +to statistics, and where actual accumulation can be left to the statistics +infrastructure. New measurements usually trigger pushing data. +(see statistics_add() and statistic_inc()) + +The pull-interface is suitable for data that already comes in an aggregated +form, like hardware measurement data or counters already maintained and +used by exploiters for other purposes. Reading statistics data from files +triggers an optional callback of the exploiter, which can update pull-type +statistics then (see statistic_set()). + + + How data is processed + +(X, Y) pairs can be processed in different ways by the statistics +infrastructure, according to the current settings applicable to a +particular statistic. + +For example, X might be used to distinguish certain buckets (see histogram). +Minimum, average and maximum X values might be determined (see utilisation). +Y might be summed up (see counter, for example). + +See below for a reference of processing options. + +Please note that the statistics infrastructure does not care about the +actual semantics of (X, Y), and that it just adheres to abstract rules +describing what to do with (X, Y) pairs for certain settings. +It is up to the user to interpret processed data, to add semantics +back to it, and to choose settings and, therewith, data processing modes +according to their needs. + + + How statistics are organised + +Statistics are grouped within "interfaces" (debugfs entries) by exploiters, +in order to reflect collections of related statistics of an entity, +which is also quite efficient with regard to memory use. + + statistics infrastructure + | + +----- statistic interface + | | + | +----- statistic + | | (comprising definition and data) + | | + | +----- statistic + | | + | +----- statistic + | | + | : + | + | + +----- statistic interface + | | + | +----- statistic + | | + : : + +The user interface, the programming interface and the internal data +structures are organised like this. + + + Why debugfs for now + +While sysfs comes with a refined structure reflecting almost everything +in the system, it is (by design) not good at representing large and variable +amounts of data, that is, more than one value per file. As for statistics, +we could make good use of the former, but not of the latter. + +For example, the same statistic might work as a single counter, or as a +histogram comprising a variable (user-defined) number of buckets, or as an +adaptable list of buckets for sparse concrete values, etc. Whatever the result +looks like should be left to the individual modes of data processing. +In order to reduce all kinds of data processing and their output to a common +denominator, an output format along the following lines is suggested and +has been implemented: + + latency_write <=0 0 \ + latency_write <=1 13 | + latency_write <=2 13 | + latency_write <=4 56 | + latency_write <=8 144 | + latency_write <=16 184 | a histogran with + latency_write <=32 181 > 13 buckets + latency_write <=64 74 | + latency_write <=128 271 | + latency_write <=256 0 | + latency_write <=512 33 | + latency_write <=1024 0 | + latency_write >1024 0 / + latency_read <=0 0 \ + ... > another histogram + latency_read >1024 0 / + size_write missed 0x0 \ + size_write 0x1000 143 | + size_write 0xc000 42 | + size_write 0x10000 14 | an adaptable list + size_write 0xf000 13 > with a growing number of buckets + size_write 0x1e000 12 | (up to a defined limit only) + size_write 0x14000 12 | + ... | + size_write 0x9000 1 / + queue_used_depth 970 1 18.122 32 > num min avg max for a queue + +Such output can grow as needed in debugfs files. It is human-readable and +could be parsed and postprocessed by simple scripts that are aware of what the +output of the various data processing modes looks like. + + + State machine + +Each statistic has a state that should be initialised by exploiters. +Users probably want to adjust this state, e.g. enable +data gathering. Defined states and transitions are: + + state=unconfigured (mode of data processing has not yet been defined) + A + | + | + V + state=released (mode of data processing has been defined, but memory + A required for data gathering has not yet been allocated + | - would be a good default setup provided by exploiters) + | + V + state=off (all memory required for the defined mode of data + A processing has been allocated, but data gathering is + | currently disabled - data available to users, though) + | + V + state=on (data gathering is enabled and being done according to + the currently defined processing mode - data available + to users) + +How to alter states is explained in the user interface section of this document. + + + + + 2. Performance + + + Some preliminary numbers + +FIXME + + Per-CPU data + +Measurements reported by exploiters are accumulated into per-CPU data areas +in order to avoid the introduction of serialisation during the +execution of statistic_add(). Locking of per-CPU data is done by disabling +preemption and interrupts per CPU for the short time of a statistic update. + +Per-CPU data is not used if a statistic doesn't collect incremental data, +i.e. if is only updated using statistic_set(). + + + Path length of statistic_add() & friends + +Some flexibility and functionality are achieved on the expense of slightly +increased path length. + +A function pointer is used to implement different data processing modes +users can choose from. + +Individual data processing modes might come with their particular knobs, +e.g. resolution or precision. That means that the statistics infrastructure +has to retrieve some values required for calculation at run time. + + + Memory footprint + +Because the statistics code uses per-CPU data, it observes CPU hot-(un)plug +events and allocates and releases per-CPU data as sparingly as possible. + +The differentiation of: + +- struct statistic (any data required for gathering data for a statistic), +- struct statistic_info (description of a class of statistics), +- struct statistic_discipline (description of a data processing mode), and +- struct statistic_interface (user interface for a collection of statistics) + +means avoidance of storing redundant data per statistic. Struct statistic +can be kept quite small. + + + Disabling statistics + +Data gathering can be turned off (by default or by users), which reduces +statistic_add() to a check. + + + Kernel configuration option + +CONFIG_STATISTICS can be used to include or exclude statistics during the +kernel build process. + + + + + 3. Modes of data processing + +So far, available are: + + + type=counter_inc + +A counter sums up all Y-values of (X, Y) data pairs reported, regardless of the +X-part. + +For example, a (request size, occurrence)-statistic would yield the +total of requests observed. + + + type=counter_prod + +A counter sums up all X*Y with X and Y belonging to the same (X, Y). + +For example, a (request size, occurrence)-statistic would yield the +total of bytes transfered. + + + type=utilisation + +Provides a set of values comprising: +- the sum of all Y-values, +- the minimum X +- the average X +- the maximum X + +This appears to be a useful fill level indicator for queues etc. + +For example, a (request size, occurrence)-statistic would yield a very +basic statement about the traffic pattern, with information about the range +of request sizes observed. + + + type=histogram_lin + +Comprises a set of counters, with each counter summing up all those Y-values +reported for an assigned range or interval of X-values. All intervals of +X-values are equal. + +Additional required parameters include: +- entries (number of buckets, at least 2 required) +- range_min (first bucket stands for <=range_min) +- base_interval (interval size each bucket covers) + +For example, a (request size, occurrence)-statistic would yield a histogram +of observed request sizes, with the same precision for small, medium and +large request sizes. + + + type=histogram_log2 + +Similar to type=histogram_lin, except that the intervals double +from bucket to bucket. That is, the histogram loses in precision for +larger X-values. + + + type=sparse + +This one is similar to other histograms, with the exception that it provides +buckets for discrete X-values instead of ranges of X-values. Since it +utilises a list instead of an array, it is suited for compiling histogram-like +results for rather few, sparse X-values which users want to measure +separately. + +Additional required parameters include: +- entries (list is capped at this number of entries) + +For example, a (request size, occurrence)-statistic would yield the +occurrences of all request sizes. Since it records precise sizes, +it can also show the odd one out, which might be problematic; who knows... + + + Other + +The statistic infrastructure has been designed to make the addition +of more ways of data processing easy (see struct statistic_discipline). + +For example, two more types had been implemented which are not included +in the source code: + +- A "raw" type statistic which provides a record of (X, Y)-pairs. + Nice for verification and debugging purposes. + +- An enhancement of other basic types, like "counter" or "utilisation" + by the dimension time, which provides a time-tagged history of their + results for successive periods of time. + For example, a (request size, occurrence)-statistic could yield the + transfer rate over time, like bytes per second. + + + + + 4. User interface + + Locating statistics + +The statistics infrastructure's user interface is in the +/sys/kernel/debug/statistics directory, assuming debugfs has been mounted at +/sys/kernel/debug. The "statistics" directory holds interface subdirectories +created on the behalf of exploiters, for example: + + drwxr-xr-x 2 root root 0 Jul 28 02:16 zfcp-0.0.50d4 + +An interface subdirectory contains two files, a data and a definition file: + + -r-------- 1 root root 0 Jul 28 02:16 data + -rw------- 1 root root 0 Jul 28 02:16 definition + + + The "definition" file + +The statistics infrastructure processes reported data according to the +settings in the definition file, particularly the type attribute. You +can change some statistic attributes and thereby change how data is +processed. + +Some of the attributes shown are common to all statistics, others only apply +to specific statistic type of data processing (see there for description). +Some attributes can be changed by users, others are read-only. All timestamps +are in the style of printk-timestamps. + + + Common statistic attributes + + Attribute Changeable Comment + + name No The device driver provides the name that + defines a statistic. + + units No Units defines what the device driver reports + as (X, Y) pair. + + state Yes Valid assignments are + on, off, released, unconfigured. + Note: Transition from unconfigured requires + the specification of type and all + additional attributes for that type. + + type Yes The attribute determines the way sampled data + is processed and displayed. See corresponding + section in this document for valid assignements. + + data No The age of sampled data, that is, the time + since last reset. + + started No The last time the statistic was started. + Depends on the state attribute. + + stopped No The last time the statistic was stopped. + Depends on the state attribute. + + + Changing statistics + +Here are some commented examples. This is how we start off: + + [scsi-0:0:0:0]# head -n 1 definition + name=issued_write state=off units=bytes/request type=sparse entries=256 + data=[7283835.951603] started=[7283835.951604] stopped=[7283856.502492] + +Let's get rid of any data and setup for this particular statistic: + + [scsi-0:0:0:0]# echo name=issued_write state=unconfigured > definition; + head -n 1 definition + name=issued_write state=unconfigured units=bytes/request + +Redefine the statistic without enabling data gathering: + + [scsi-0:0:0:0]# echo name=issued_write type=utilisation > definition; + head -n 1 definition + name=issued_write state=released units=bytes/request type=utilisation + +Enable data gathering: + + [scsi-0:0:0:0]# echo name=issued_write state=on > definition; + head -n 1 definition + name=issued_write state=on units=bytes/request type=utilisation + data=[7284319.773163] started=[7284319.773170] stopped=[7283856.502492] + +Discard data without changing any settings (note the time stamps): + + [scsi-0:0:0:0]# echo name=issued_write data=reset > definition; + head -n 1 definition + name=issued_write state=on units=bytes/request type=utilisation + data=[7284495.638893] started=[7284495.638894] stopped=[7284495.638844] + +Change statistic back to defaults as provided by device driver: +(Note this discards all data.) + + [scsi-0:0:0:0]# echo name=issued_write defaults > definition; + head -n 1 definition + name=issued_write state=on units=bytes/request type=sparse entries=256 + data=[7284603.624271] started=[7284603.624273] stopped=[7284603.624199] + +Change a type specific attribute - here, reduce maximum list size: +(Note this discards all data.) + + [scsi-0:0:0:0]# echo name=issued_write entries=16 > definition; + head -n 1 definition + name=issued_write state=on units=bytes/request type=sparse entries=16 + data=[7285008.933757] started=[7285008.933758] stopped=[7285008.933699] + +Turn data gathering off and release all resources allocated: + + [scsi-0:0:0:0]# echo name=issued_write state=released > definition; + head -n 1 definition + name=issued_write state=released units=bytes/request type=sparse entries=256 + +One can either write the entire line describing a statistic, including +read-only attributes (which are ignored by the statistics infrastructure, as +is any junk). Or one may modify single attributes, assuming this results +in a valid configuration. + +This simplifies the procedures (copy, paste to command line, +modify command line, echo attributes from command line into definition file) +and (cat to file, modify file content, cat file back into definition file). + +Some operations can be done in an atomic fashion for all statistics grouped +within the scope of an interface. Simply omit the name= attribute: + + echo state=on > definition + + echo data=reset > definition + + echo defaults > definition + + + Reading statistic output from the "data" file + +The "data" file contains the output of all statistics available through a +particular interface. File content comes in ASCII. Depending on the type of a +statistic, the output for a statistic consists of a single line or a bunch +of lines. Each line delivers one value or one result of a statistic and +consists of several strings separated by spaces. The beginning of each line +is tagged with the name of the statistic the line belongs to. The rest of +a line is statistic-type specific. The content of a "data" might look like +this: + + foo 0x1000 4 + foo 0x2000 1 + foo 0x5000 2 + bar 961 1 42.000 128 + + + Output formats of different statistic types + + Statistic Type Output Format Number of Lines + + counter_inc 1 + + counter_prod 1 + + utilisation 1 + + sparse <= entries + ... + + histogram_lin "<=" number of + histogram_log2 ... intervals as + ">" determined by + base_interval, + entries and + range_min + +For sample output please see above. + + + + + 5. Programming interface + +The programming interface can be retrieved from the kernel-doc-style comments +available for all interface functions. Programming examples can be found in +drivers/scsi and drivers/s390/scsi. + + + Creating statistics + +Assuming one wants to embed an array of statistics into a structure +representing some entity, the following members need to be added: + + struct my_entity { + ... + struct statistic_interface stat_int; + struct statistic stat[N]; + } + +stat is an array of N statistics of various sorts. + +Since one might want to create several instances of struct my_entity +each coming with its own set of statistics (stat[N]) setup using the +same template, provisions for such a template have been made as part of the +programming interface. An array of struct statistic_info complements an +array of struct statistic. + + struct statistic_info[] { + { "refund", "cent", "bottle", 0, "type=counter_prod" }, + { "fill_level", "millilitre", "bottle", 1, "type=utilisation" }, + ... + } my_entity_stat_info; + +An enum that helps addressing individual statistics of an array comes in handy: + + enum my_entitiy_stat_num { + MY_ENTITY_STAT_REFUND, + MY_ENTITY_STAT_FILL, + ... + N + }; + +Now, here is how to tie the knot for statistics and templates: + + { + struct my_entity *one; + ... + + /* required */ + one->stat_int.stat = one->stat; + one->stat_int.info = my_entity_stat_info; + one->stat_int.number = N; + + /* Optional callback triggers update of MY_ENTITY_STAT_FILL + when user reads statistic data from file */ + one->stat_int.pull = my_entity_pull_fn; + one->stat_int.pull_private = one; + + retval = statistic_create(&one->stat_int, "bottled_stats"); + /* now we can report statistics data */ + ... + } + + + Reporting statistics data + +Add statistic_add*() or statistic_inc*() calls where appropriate for +reporting statistics data. Data to be reported through these functions has the +form of (X, Y) as explained above: + + { + struct my_entity *one; + ... + + statistic_add(&one->stat, MY_ENTITY_STAT_REFUND, pennies, bottles); + ... + } + +Which is equivalent to: + + { + struct my_entity *one; + int i; + ... + + for (i = 0; i < bottles; i++) + statistic_inc(&one->stat, MY_ENTITY_STAT_REFUND, pennies); + ... + } + +Of course, this example is not optimal. It tries to show how statistic_add() and +statistic_inc() compare. Sometimes statistic_inc() might be just what you need. + +If there is a bunch of statistics to be updated in one go, consider these +flavours of statistic_add() which require the exploiter to lock per-CPU data +in one go for improved performance: + + { + struct my_entity *one; + unsigned long flags; + ... + + local_irq_save(flags); + statistic_inc_nolock(&one->stat, MY_ENTITY_STAT_X, x); + statistic_inc_nolock(&one->stat, MY_ENTITY_STAT_Y, y); + statistic_add_nolock(&one->stat, MY_ENTITY_STAT_Z, z, number); + ... + local_irq_restore(flags); + } + +The above examples show statistics that feed on incremental updates that +get accumulated by the statistics infrastructure on top of data already +gathered by the statistics infrastructure. +That is why statistic_add() or statistic_inc() respectively are used. + +There might be statistics that come as total numbers, e.g. because they feed +on counters already maintained by the exploiter or some hardware feature. +These numbers can be exported through the statistics infrastructure along +with any other statistic. In this case, use statistic_set() to report data. +Usually it is sufficient to do so when the user opens the corresponding +file to read statistic data. This will trigger the optional callback function +to be executed. Place statistic_set() calls there. In the same context calling +statistic_add() or statistic_inc() for other statistics that feed on +incremental data works as well, in case that's needed: + + my_entity_stat_pull_fn(void *__one) + { + struct my_entity *one = __one; + ... + + statistic_set(&one->stat, MY_ENTITY_STAT_FILL, one->fill, 1); + ... + } + + + Removing statistics + +The function statistic_remove() cleans up an entire interface with +all statistics attached: + + { + struct my_entity *one; + ... + + /* by this time we must have ceased reporting statistics data */ + retval = statistic_remove(&one->stat_int); + ... + } + + + Adding a another data processing mode + +There is a statistics infrastructure internal programmimg interface that +allows to add other data processing modes fairly easily. +Please see kernel-doc description of struct statistics_discipline. + + + + + 6. Possible future enhancements / known bugs + +There are several possible enhancements and optimizations documented +at the head of lib/statistic.c, where I keep track of bugs as well. + + + + + 7. Contact + +See MAINTAINERS file. - To unsubscribe from this list: send the line "unsubscribe linux-kernel" in the body of a message to majordomo@vger.kernel.org More majordomo info at http://vger.kernel.org/majordomo-info.html Please read the FAQ at http://www.tux.org/lkml/