def _export(self, with_line_str=True):
fields = [
'_id', 'datetime', 'operation', 'thread', 'namespace', 'nscanned',
'nreturned', 'duration', 'numYields', 'w', 'r'
]
if with_line_str:
fields.append('line_str')
first_row = True
result_str = ''
out_count = 0
for line_no, line in enumerate(self.args['logfile']):
logline = LogLine(line)
# only export lines that have a datetime and duration
if logline.datetime and logline.duration:
out_count += 1
# if too many lines include a line_str, the page won't load
if with_line_str and out_count > 10000:
print "Warning: more than 10,000 data points detected. Skipping actual log line strings for faster plotting."
return False
# write log line out as json
if not first_row:
# prepend comma and newline
result_str += ',\n'
else:
first_row = False
# hack to include _id for log lines from file
logline._id = line_no
result_str += logline.to_json(fields)
return result_str
def _export(self, with_line_str=True):
fields = ['_id', 'datetime', 'operation', 'thread', 'namespace', 'nscanned', 'nreturned', 'duration', 'numYields', 'w', 'r']
if with_line_str:
fields.append('line_str')
first_row = True
result_str = ''
out_count = 0
for line_no, line in enumerate(self.args['logfile']):
logline = LogLine(line)
# only export lines that have a datetime and duration
if logline.datetime and logline.duration:
out_count += 1
# if too many lines include a line_str, the page won't load
if with_line_str and out_count > 10000:
print "Warning: more than 10,000 data points detected. Skipping actual log line strings for faster plotting."
return False
# write log line out as json
if not first_row:
# prepend comma and newline
result_str += ',\n'
else:
first_row = False
# hack to include _id for log lines from file
logline._id = line_no
result_str += logline.to_json(fields)
return result_str
