4.38 Obtaining Runtime Statistics

statistics(+Key, -Value)
Unify system statistics determined by Key with Value. The possible keys are given in the table 6. This predicate supports additional keys for compatibility reasons. These keys are described in table 7.

Native keys (times as float in seconds)
agcNumber of atom garbage collections performed
agc_gainedNumber of atoms removed
agc_timeTime spent in atom garbage collections
process_cputime(User) CPU time since Prolog was started in seconds
cputime(User) CPU time since thread was started in seconds
inferencesTotal number of passes via the call and redo ports since Prolog was started
heapusedBytes of heap in use by Prolog (0 if not maintained)
heap_gcNumber of heap garbage collections performed. Only provided if SWI-Prolog is configured with Boehm-GC. See also garbage_collect_heap/0.
c_stackSystem (C-) stack limit. 0 if not known.
stackTotal memory in use for stacks in all threads
localAllocated size of the local stack in bytes
localusedNumber of bytes in use on the local stack
locallimitSize to which the local stack is allowed to grow
local_shiftsNumber of local-stack expansions
globalAllocated size of the global stack in bytes
globalusedNumber of bytes in use on the global stack
globallimitSize to which the global stack is allowed to grow
global_shiftsNumber of global-stack expansions
trailAllocated size of the trail stack in bytes
trailusedNumber of bytes in use on the trail stack
traillimitSize to which the trail stack is allowed to grow
trail_shiftsNumber of trail-stack expansions
shift_timeTime spent in stack-shifts
atomsTotal number of defined atoms
functorsTotal number of defined name/arity pairs
clausesTotal number of clauses in the program
modulesTotal number of defined modules
codesTotal size of (virtual) executable code in words
threadsMT-version: number of active threads
threads_createdMT-version: number of created threads
thread_cputimeMT-version: seconds CPU time used by finished threads. Supported on Windows-NT and later, Linux and possibly a few more. Verify it gives plausible results before using.
Table 6 : Keys for statistics/2. Space is expressed in bytes. Time is expressed in seconds, represented as a floating point number.

Compatibility keys (times in milliseconds)
runtime[ CPU time, CPU time since last ] (milliseconds, excluding time spent in garbage collection)
system_time[ System CPU time, System CPU time since last ] (milliseconds)
real_time[ Wall time, Wall time since last ] (integer seconds. See get_time/1)
walltime[ Wall time since start, Wall time since last] (milliseconds, SICStus compatibility)
memory[ Total unshared data, free memory ] (Uses getrusage() if available, otherwise incomplete own statistics.)
stacks[ global use, local use ]
program[ heap, 0 ]
global_stack[ global use, global free ]
local_stack[ local use, local free ]
trail[ trail use, trail free ]
garbage_collection[ number of GC, bytes gained, time spent, bytes left ] The last column is a SWI-Prolog extension. It contains the sum of the memory left after each collection, which can be divided by the count to find the average working set size after GC. Use [Count, Gained, Time|_] for compatiblity.
stack_shifts[ global shifts, local shifts, time spent ]
atoms[ number, memory use, 0 ]
atom_garbage_collection[ number of AGC, bytes gained, time spent ]
coreSame as memory
Table 7 : Compatibility keys for statistics/2. Time is expressed in milliseconds.
statistics
Display a table of system statistics on the current output stream.
time(:Goal)
Execute Goal just like call/1 and print time used, number of logical inferences and the average number of lips (logical inferences per second). Note that SWI-Prolog counts the actual executed number of inferences rather than the number of passes through the call and redo ports of the theoretical 4-port model. If Goal is non-deterministic, print statistics for each solution, where the reported values are relative to the previous answer.