def _more_custom(trace: ProcessedTrace) -> None:
rows: List[Row] = []
for gc in trace.gcs:
if not gc.IsBackground:
continue
rows.append((Cell(gc.Number), Cell(str(gc.reason))))
handle_doc(single_table_document(Table(headers=("number", "reason"), rows=rows)))
def _custom2(trace: ProcessedTrace) -> None:
gen_to_suspension_datas: List[List[_SuspensionData]] = [[] for _ in range(3)]
for gc in trace.gcs:
if gc.PauseDurationMSec < 50:
continue
gen_to_suspension_datas[enum_value(gc.Generation)].append(
_SuspensionData(
PauseToStartMSec=gc.SuspendToGCStartMSec,
DurationMSec=gc.DurationMSec,
PauseDurationMSec=gc.PauseDurationMSec,
SuspendDurationMSec=gc.SuspendDurationMSec,
PromotedMB=gc.PromotedMB,
)
)
for gen in ALL_GC_GENS:
print(f"\n=== {gen.name} suspensions ===\n")
rows = []
for susp_data in sorted(
gen_to_suspension_datas[0], key=lambda sd: sd.DurationMSec, reverse=True
):
rows.append(
[
Cell(x)
for x in (
susp_data.PauseDurationMSec,
susp_data.DurationMSec,
# susp_data.PctPauseFromSuspend,
# susp_data.PauseToStartMSec,
susp_data.SuspendDurationMSec,
# susp_data.SuspensionPercent,
susp_data.PromotedMB,
susp_data.PromotedMBPerSec,
)
]
)
handle_doc(
single_table_document(
Table(
headers=(
"pause msec",
"duration msec",
# "pause %",
# "pause to start",
"suspend msec",
# "suspend %",
"promoted mb",
"promoted mb/sec",
),
rows=rows,
)
)
)
def _custom(trace: ProcessedTrace) -> None:
gen2_gcs = [gc for gc in trace.gcs if gc.IsGen2]
datas: List[_GCData] = []
for gc in gen2_gcs:
bytes_since_last_same_gen_gc = (unwrap(
get_bytes_allocated_since_last_gc(trace.gcs, trace.gcs.index(gc),
Gens.GenLargeObj))
if gc.IsGen2 else None)
datas.append(
_GCData(
Number=gc.Number,
MBSOHSinceLastGen2=bytes_to_mb(
unwrap(
get_bytes_allocated_since_last_gc(
trace.gcs, trace.gcs.index(gc), Gens.Gen2)))
if gc.IsGen2 else None,
MBLOHSinceLastGen2=bytes_to_mb(
non_null(bytes_since_last_same_gen_gc))
if gc.IsGen2 else None,
Gen2BudgetMB=gc.Gen2BudgetMB if gc.IsGen2 else None,
LOHBudgetMB=gc.LOHBudgetMB if gc.IsGen2 else None,
))
rows = []
for data in datas:
rows.append([
Cell(str(int(x))) if x is not None else Cell() for x in (
data.Number,
data.MBSOHSinceLastGen2,
data.MBLOHSinceLastGen2,
data.Gen2BudgetMB,
data.LOHBudgetMB,
)
])
g2_numbers = ", ".join(str(gc.Number) for gc in gen2_gcs)
gens = f"Gen2 numbers are: {g2_numbers}"
doc = single_table_document(
Table(
text=gens,
headers=(
"number",
"MB on SOH since last gen2",
"MB on LOH since last gen2",
"gen2 budget MB",
"loh budget MB",
),
rows=rows,
))
handle_doc(doc)
)
#%% show summary
show_summary(_TRACE)
#%% analyze-single
handle_doc(
analyze_single_for_processed_trace(
_TRACE,
print_events=False,
run_metrics=parse_run_metrics_arg(("important", )),
gc_where_filter=lambda gc: True,
sort_gcs_by=SortGCsBy(metric=parse_single_gc_metric_arg("Number"),
sort_reverse=False),
single_gc_metrics=parse_single_gc_metrics_arg(
("DurationMSec", "Generation", "Number", "StartMSec")),
single_heap_metrics=parse_single_heap_metrics_arg(("InMB", "OutMB")),
show_first_n_gcs=5,
show_last_n_gcs=None,
show_reasons=False,
))
#%% analyze-single-gc
handle_doc(
analyze_single_gc_for_processed_trace_file(
_TRACE,
gc_number=42,
single_gc_metrics=parse_single_gc_metrics_arg(
