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
mysql> SELECT * FROM performance_schema.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 | +-------------+-----------------+------------------+----------------+
If the values associated with a given timer name are
NULL, that timer is not supported on your
platform. The rows that do not contain
indicate which timers you can use in
The columns have these meanings:
TIMER_NAMEcolumn shows the names of the available timers.
CYCLErefers to the timer that is based on the CPU (processor) cycle counter. The timers in
setup_timersthat you can use are those that do not have
NULLin the other columns. If the values associated with a given timer name are
NULL, that timer is not supported on your platform.
TIMER_FREQUENCYindicates 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_RESOLUTIONindicates 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_OVERHEADis 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, access
mysql> SELECT * FROM performance_schema.setup_timers; +-------------+-------------+ | NAME | TIMER_NAME | +-------------+-------------+ | idle | MICROSECOND | | wait | CYCLE | | stage | NANOSECOND | | statement | NANOSECOND | | transaction | NANOSECOND | +-------------+-------------+ mysql> UPDATE performance_schema.setup_timers SET TIMER_NAME = 'MICROSECOND' WHERE NAME = 'idle'; mysql> SELECT * FROM performance_schema.setup_timers; +-------------+-------------+ | NAME | TIMER_NAME | +-------------+-------------+ | idle | MICROSECOND | | wait | CYCLE | | stage | NANOSECOND | | statement | NANOSECOND | | transaction | 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
CYCLE timer is the best.
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
NANOSECOND. The 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, the
gettimeofday() function can take
hundreds of cycles, which is an unacceptable overhead for data
gathering that may occur thousands or millions of times per
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.
MySQL works with cycle counters on x386 (Windows, macOS, 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 a
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 aggregate
time values in summary tables (sum, minimum, maximum, and
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
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
TRUNCATE 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.
values are durations in picoseconds.
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
timer is used and the processor rate varies, there might be
drift. For these reasons, it is not reasonable to look at the
TIMER_START value for an event as an
accurate measure of time elapsed since server startup. On the
other hand, it is reasonable to use
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
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.
While a wait, stage, statement, or transaction event is executing, the respective current-event tables display current-event timing information:
events_waits_current events_stages_current events_statements_current events_transactions_current
To make it possible to determine how long a not-yet-completed event has been running, the timer columns are set as follows:
TIMER_ENDis populated with the current timer value.
TIMER_WAITis 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 > N
Event identification as just described assumes that the
corresponding instruments have
TIMED set to
that the relevant consumers are enabled.