def test_trace_file(self):
# Get path to trace_processor_shell and construct TraceProcessor
tp = TraceProcessor(file_path=os.path.join(
os.environ["ROOT_DIR"], 'test', 'data',
'example_android_trace_30s.pb'),
bin_path=os.environ["SHELL_PATH"])
qr_iterator = tp.query('select * from slice limit 10')
dur_result = [
178646, 119740, 58073, 155000, 173177, 20209377, 3589167, 90104,
275312, 65313
]
for num, row in enumerate(qr_iterator):
self.assertEqual(row.type, 'internal_slice')
self.assertEqual(row.dur, dur_result[num])
# Test the batching logic by issuing a large query and ensuring we receive
# all rows, not just a truncated subset.
qr_iterator = tp.query('select count(*) as cnt from slice')
expected_count = next(qr_iterator).cnt
self.assertGreater(expected_count, 0)
qr_iterator = tp.query('select * from slice')
count = sum(1 for _ in qr_iterator)
self.assertEqual(count, expected_count)
tp.close()
def main():
# Parse arguments passed from command line
parser = argparse.ArgumentParser()
parser.add_argument(
"-a",
"--address",
help=
"Address at which trace_processor is being run, e.g. localhost:9001",
type=str)
parser.add_argument("-b",
"--binary",
help="Absolute path to a trace processor binary",
type=str)
parser.add_argument("-f",
"--file",
help="Absolute path to trace",
type=str)
args = parser.parse_args()
# Pass arguments into api to construct the trace processor and load the trace
if args.address is None and args.file is None:
raise Exception("You must specify an address or a file path to trace")
elif args.address is None:
tp = TraceProcessor(file_path=args.file, bin_path=args.binary)
elif args.file is None:
tp = TraceProcessor(addr=args.address)
else:
tp = TraceProcessor(addr=args.address,
file_path=args.file,
bin_path=args.binary)
# Iterate through QueryResultIterator
res_it = tp.query('select * from slice limit 10')
for row in res_it:
print(row.name)
# Convert QueryResultIterator into a pandas dataframe + iterate. This yields
# the same results as the function above.
try:
res_df = tp.query('select * from slice limit 10').as_pandas()
for index, row in res_df.iterrows():
print(row['name'])
except Exception:
pass
# Call another function on the loaded trace
am_metrics = tp.metric(['android_mem'])
tp.close()
def main():
# Parse arguments passed from command line
parser = argparse.ArgumentParser()
parser.add_argument(
"-a",
"--address",
help="Address at which trace_processor is being run, e.g. localhost:9001",
type=str)
parser.add_argument("-f", "--file", help="Absolute path to trace", type=str)
args = parser.parse_args()
# Pass arguments into api to construct the trace processor and load the trace
if args.address == None and args.file == None:
raise Exception("You must specify an address or a file path to trace")
elif args.address == None:
tp = TraceProcessor(file_path=args.file)
elif args.file == None:
tp = TraceProcessor(uri=args.address)
else:
tp = TraceProcessor(uri=args.address, file_path=args.file)
# Call functions on the loaded trace
res_it = tp.query('select * from slice limit 10')
for row in res_it:
print(row.name)
am_metrics = tp.metric(['android_mem'])
tp.close()
def test_trace_file(self):
# Get path to trace_processor_shell and construct TraceProcessor
tp = TraceProcessor(file_path=os.path.join(
os.environ["ROOT_DIR"], 'test', 'data',
'example_android_trace_30s.pb'),
bin_path=os.environ["SHELL_PATH"])
qr_iterator = tp.query('select * from slice limit 10')
dur_result = [
178646, 119740, 58073, 155000, 173177, 20209377, 3589167, 90104,
275312, 65313
]
for num, row in enumerate(qr_iterator):
self.assertEqual(row.type, 'internal_slice')
self.assertEqual(row.dur, dur_result[num])
tp.close()
from trace_processor.api import TraceProcessor # pip install trace_processor
import os
path = 'test_data/android/trace/trace.pftrace'
if os.path.isfile(path):
tp = TraceProcessor(file_path=path)
qr_it = tp.query('SELECT ts, dur, name FROM slice')
for row in qr_it:
print(row.ts, row.dur, row.name)
