Events are collected by means of instrumentation added to the server source code. Instruments time events, which is how the Performance Schema provides an idea of how long events take. It is also possible to configure instruments not to collect timing information. This section discusses the available timers and their characteristics, and how timing values are represented in events.
Two Performance Schema tables provide timer information:
Timers vary in precision and amount of overhead. To see what
timers are available and their characteristics, check the
SELECT * FROM performance_timers;+-------------+-----------------+------------------+----------------+ | TIMER_NAME | TIMER_FREQUENCY | TIMER_RESOLUTION | TIMER_OVERHEAD | +-------------+-----------------+------------------+----------------+ | CYCLE | 2389029850 | 1 | 72 | | NANOSECOND | 1000000000 | 1 | 112 | | MICROSECOND | 1000000 | 1 | 136 | | MILLISECOND | 1036 | 1 | 168 | | TICK | 105 | 1 | 2416 | +-------------+-----------------+------------------+----------------+
The columns have these meanings:
TIMER_NAME column shows the names
of the available timers.
to the timer that is based on the CPU (processor) cycle
counter. The timers in
setup_timers that you can
use are those that do not have
in the other columns. If the values associated with a
given timer name are
NULL, that timer
is not supported on your platform.
TIMER_FREQUENCY indicates the number
of timer units per second. For a cycle timer, the
frequency is generally related to the CPU speed. The
value shown was obtained on a system with a 2.4GHz
processor. The other timers are based on fixed fractions
of seconds. For
TICK, the frequency
may vary by platform (for example, some use 100
ticks/second, others 1000 ticks/second).
TIMER_RESOLUTION indicates the number
of timer units by which timer values increase at a time.
If a timer has a resolution of 10, its value increases
by 10 each time.
TIMER_OVERHEAD is the minimal number
of cycles of overhead to obtain one timing with the
given timer. The overhead per event is twice the value
displayed because the timer is invoked at the beginning
and end of the event.
To see which timers are in effect or to change timers,
SELECT * FROM setup_timers;+-----------+-------------+ | NAME | TIMER_NAME | +-----------+-------------+ | idle | MICROSECOND | | wait | CYCLE | | stage | NANOSECOND | | statement | NANOSECOND | +-----------+-------------+ mysql>
UPDATE setup_timers SET TIMER_NAME = 'MICROSECOND'->
WHERE NAME = 'idle';mysql>
SELECT * FROM setup_timers;+-----------+-------------+ | NAME | TIMER_NAME | +-----------+-------------+ | idle | MICROSECOND | | wait | CYCLE | | stage | NANOSECOND | | statement | NANOSECOND | +-----------+-------------+
By default, the Performance Schema uses the best timer available for each instrument type, but you can select a different one.
To time wait events, the most important criterion is to
reduce overhead, at the possible expense of the timer
accuracy, so using the
CYCLE timer is the
The time a statement (or stage) takes to execute is in
general orders of magnitude larger than the time it takes to
execute a single wait. To time statements, the most
important criterion is to have an accurate measure, which is
not affected by changes in processor frequency, so using a
timer which is not based on cycles is the best. The default
timer for statements is
extra “overhead” compared to the
CYCLE timer is not significant, because
the overhead caused by calling a timer twice (once when the
statement starts, once when it ends) is orders of magnitude
less compared to the CPU time used to execute the statement
itself. Using the
CYCLE timer has no
benefit here, only drawbacks.
The precision offered by the cycle counter depends on
processor speed. If the processor runs at 1 GHz (one billion
cycles/second) or higher, the cycle counter delivers
sub-nanosecond precision. Using the cycle counter is much
cheaper than getting the actual time of day. For example,
gettimeofday() function can
take hundreds of cycles, which is an unacceptable overhead
for data gathering that may occur thousands or millions of
times per second.
Cycle counters also have disadvantages:
End users expect to see timings in wall-clock units, such as fractions of a second. Converting from cycles to fractions of seconds can be expensive. For this reason, the conversion is a quick and fairly rough multiplication operation.
Processor cycle rate might change, such as when a laptop goes into power-saving mode or when a CPU slows down to reduce heat generation. If a processor's cycle rate fluctuates, conversion from cycles to real-time units is subject to error.
Cycle counters might be unreliable or unavailable
depending on the processor or the operating system. For
example, on Pentiums, the instruction is
RDTSC (an assembly-language rather
than a C instruction) and it is theoretically possible
for the operating system to prevent user-mode programs
from using it.
Some processor details related to out-of-order execution or multiprocessor synchronization might cause the counter to seem fast or slow by up to 1000 cycles.
Currently, MySQL works with cycle counters on x386 (Windows, OS X, Linux, Solaris, and other Unix flavors), PowerPC, and IA-64.
Rows in Performance Schema tables that store current events
and historical events have three columns to represent timing
TIMER_END indicate when an event started
and finished, and
setup_instruments table has
ENABLED column to indicate the
instruments for which to collect events. The table also has
TIMED column to indicate which
instruments are timed. If an instrument is not enabled, it
produces no events. If an enabled instrument is not timed,
events produced by the instrument have
NULL for the
TIMER_WAIT timer values. This in turn
causes those values to be ignored when calculating the sum,
minimum, maximum, and average time values in summary tables.
Internally, times within events are stored in units given by the timer in effect when event timing begins. For display when events are retrieved from Performance Schema tables, times are shown in picoseconds (trillionths of a second) to normalize them to a standard unit, regardless of which timer is selected.
Modifications to the
setup_timers table affect
monitoring immediately. Events already in progress may use
the original timer for the begin time and the new timer for
the end time. To avoid unpredictable results after you make
timer changes, use
TABLE to reset Performance Schema statistics.
The timer baseline (“time zero”) occurs at
Performance Schema initialization during server startup.
TIMER_END values in events represent
picoseconds since the baseline.
TIMER_WAIT values are durations in
Picosecond values in events are approximate. Their accuracy
is subject to the usual forms of error associated with
conversion from one unit to another. If the
CYCLE timer is used and the processor
rate varies, there might be drift. For these reasons, it is
not reasonable to look at the
value for an event as an accurate measure of time elapsed
since server startup. On the other hand, it is reasonable to
TIMER_WAIT values in
BY clauses to order events by start time or
The choice of picoseconds in events rather than a value such
as microseconds has a performance basis. One implementation
goal was to show results in a uniform time unit, regardless
of the timer. In an ideal world this time unit would look
like a wall-clock unit and be reasonably precise; in other
words, microseconds. But to convert cycles or nanoseconds to
microseconds, it would be necessary to perform a division
for every instrumentation. Division is expensive on many
platforms. Multiplication is not expensive, so that is what
is used. Therefore, the time unit is an integer multiple of
the highest possible
value, using a multiplier large enough to ensure that there
is no major precision loss. The result is that the time unit
is “picoseconds.” This precision is spurious,
but the decision enables overhead to be minimized.
Before MySQL 5.6.26, while a wait, stage, or statement event
is executing, the respective current-event tables display
the event with
TIMER_START populated, but
TIMER_WAIT set to
events_waits_current events_stages_current events_statements_current
As of MySQL 5.6.26, current-event timing provides more information. To make it possible to determine how how long a not-yet-completed event has been running, the timer columns are set as follows:
TIMER_START is populated (unchanged
from previous behavior)
TIMER_END is populated with the
current timer value
TIMER_WAIT is populated with the time
elapsed so far (
Events that have not yet completed have an
END_EVENT_ID value of
NULL. To assess time elapsed so far for
an event, use the
Therefore, to identify events that have not yet completed
and have taken longer than
picoseconds thus far, monitoring applications can use this
expression in queries:
WHERE END_EVENT_ID IS NULL AND TIMER_WAIT >
Event identification as just described assumes that the
corresponding instruments have
TIMED set to
and that the relevent consumers are enabled.