def test_flushing_in_thread(self):
dog = DogStatsApi()
dog.start(roll_up_interval=1,
flush_interval=1,
flush_in_greenlet=True,
api_key=API_KEY)
now = time.time()
dog.gauge('test.dogapi.greenlet.gauge.%s' % now, 3)
dog.increment('test.dogapi.greenlet.counter.%s' % now)
dog.increment('test.dogapi.greenlet.counter.%s' % now)
dog.histogram('test.dogapi.greenlet.histogram.%s' % now, 20)
dog.histogram('test.dogapi.greenlet.histogram.%s' % now, 30)
time.sleep(3)
assert 1 <= dog.flush_count <= 5
def test_flushing_in_thread(self):
dog = DogStatsApi()
dog.start(roll_up_interval=1,
flush_interval=1,
flush_in_greenlet=True,
api_key=API_KEY)
now = time.time()
dog.gauge('test.dogapi.greenlet.gauge.%s' % now , 3)
dog.increment('test.dogapi.greenlet.counter.%s' % now)
dog.increment('test.dogapi.greenlet.counter.%s' % now)
dog.histogram('test.dogapi.greenlet.histogram.%s' % now, 20)
dog.histogram('test.dogapi.greenlet.histogram.%s' % now, 30)
time.sleep(3)
assert 1 <= dog.flush_count <= 5
def measure_thousands_of_metrics():
dog = DogStatsApi()
dog.start(api_key='apikey_3', api_host="https://app.datad0g.com")
yappi.start()
@dog.timed('timed')
def timed():
pass
for i in range(100):
for j in range(1000):
name = j % 100
dog.gauge('gauge.%s' % name, j)
dog.increment('counter.%s' % name, j)
dog.histogram('histogram.%s' % name, j)
timed()
print('run %s' % i)
yappi.print_stats(sort_type=yappi.SORTTYPE_TSUB, sort_order=yappi.SORTORDER_DESC)
def measure_thousands_of_metrics():
dog = DogStatsApi()
dog.start(api_key='apikey_3', api_host="https://app.datad0g.com")
yappi.start()
@dog.timed('timed')
def timed():
pass
for i in range(100):
for j in range(1000):
name = j % 100
dog.gauge('gauge.%s' % name, j)
dog.increment('counter.%s' % name, j)
dog.histogram('histogram.%s' % name, j)
timed()
print('run %s' % i)
yappi.print_stats(sort_type=yappi.SORTTYPE_TSUB,
sort_order=yappi.SORTORDER_DESC)
def test_counter(self):
# Create some fake metrics.
dog = DogStatsApi()
dog.start(roll_up_interval=10, flush_in_thread=False)
reporter = dog.reporter = MemoryReporter()
dog.increment('test.counter.1', timestamp=1000.0)
dog.increment('test.counter.1', value=2, timestamp=1005.0)
dog.increment('test.counter.2', timestamp=1015.0)
dog.increment('test.counter.3', timestamp=1025.0)
dog.flush(1021.0)
# Assert they've been properly flushed.
metrics = self.sort_metrics(reporter.metrics)
nt.assert_equal(len(metrics), 2)
(first, second) = metrics
nt.assert_equal(first['metric'], 'test.counter.1')
nt.assert_equal(first['points'][0][0], 1000.0)
nt.assert_equal(first['points'][0][1], 3)
nt.assert_equal(second['metric'], 'test.counter.2')
# Flush again and make sure we're progressing.
reporter.metrics = []
dog.flush(1030.0)
nt.assert_equal(len(reporter.metrics), 1)
# Finally, make sure we've flushed all metrics.
reporter.metrics = []
dog.flush(1050.0)
nt.assert_equal(len(reporter.metrics), 0)
def test_host(self):
dog = DogStatsApi()
dog.start(roll_up_interval=10, flush_in_thread=False, host='default')
reporter = dog.reporter = MemoryReporter()
# Post the same metric with different tags.
dog.gauge('gauge', 12, timestamp=100.0, host='') # unset the host
dog.gauge('gauge', 10, timestamp=100.0)
dog.gauge('gauge', 15, timestamp=100.0, host='test')
dog.gauge('gauge', 15, timestamp=100.0, host='test')
dog.increment('counter', timestamp=100.0)
dog.increment('counter', timestamp=100.0)
dog.increment('counter', timestamp=100.0, host='test')
dog.increment('counter', timestamp=100.0, host='test', tags=['tag'])
dog.increment('counter', timestamp=100.0, host='test', tags=['tag'])
dog.flush(200.0)
metrics = self.sort_metrics(reporter.metrics)
nt.assert_equal(len(metrics), 6)
[c1, c2, c3, g1, g2, g3] = metrics
(nt.assert_equal(c['metric'], 'counter') for c in [c1, c2, c3])
nt.assert_equal(c1['host'], 'default')
nt.assert_equal(c1['tags'], None)
nt.assert_equal(c1['points'][0][1], 2)
nt.assert_equal(c2['host'], 'test')
nt.assert_equal(c2['tags'], None)
nt.assert_equal(c2['points'][0][1], 1)
nt.assert_equal(c3['host'], 'test')
nt.assert_equal(c3['tags'], ['tag'])
nt.assert_equal(c3['points'][0][1], 2)
(nt.assert_equal(g['metric'], 'gauge') for g in [g1, g2, g3])
nt.assert_equal(g1['host'], '')
nt.assert_equal(g1['points'][0][1], 12)
nt.assert_equal(g2['host'], 'default')
nt.assert_equal(g2['points'][0][1], 10)
nt.assert_equal(g3['host'], 'test')
nt.assert_equal(g3['points'][0][1], 15)
# Ensure histograms work as well.
@dog.timed('timed', host='test')
def test():
pass
test()
dog.histogram('timed', 20, timestamp=300.0, host='test')
reporter.metrics = []
dog.flush(400)
for metric in reporter.metrics:
assert metric['host'] == 'test'
def test_tags(self):
dog = DogStatsApi()
dog.start(roll_up_interval=10, flush_in_thread=False)
reporter = dog.reporter = MemoryReporter()
# Post the same metric with different tags.
dog.gauge('gauge', 10, timestamp=100.0)
dog.gauge('gauge', 15, timestamp=100.0, tags=['env:production', 'db'])
dog.gauge('gauge', 20, timestamp=100.0, tags=['env:staging'])
dog.increment('counter', timestamp=100.0)
dog.increment('counter',
timestamp=100.0,
tags=['env:production', 'db'])
dog.increment('counter', timestamp=100.0, tags=['env:staging'])
dog.flush(200.0)
metrics = self.sort_metrics(reporter.metrics)
nt.assert_equal(len(metrics), 6)
[c1, c2, c3, g1, g2, g3] = metrics
(nt.assert_equal(c['metric'], 'counter') for c in [c1, c2, c3])
nt.assert_equal(c1['tags'], None)
nt.assert_equal(c1['points'][0][1], 1)
nt.assert_equal(c2['tags'], ['env:production', 'db'])
nt.assert_equal(c2['points'][0][1], 1)
nt.assert_equal(c3['tags'], ['env:staging'])
nt.assert_equal(c3['points'][0][1], 1)
(nt.assert_equal(c['metric'], 'gauge') for c in [g1, g2, g3])
nt.assert_equal(g1['tags'], None)
nt.assert_equal(g1['points'][0][1], 10)
nt.assert_equal(g2['tags'], ['env:production', 'db'])
nt.assert_equal(g2['points'][0][1], 15)
nt.assert_equal(g3['tags'], ['env:staging'])
nt.assert_equal(g3['points'][0][1], 20)
# Ensure histograms work as well.
@dog.timed('timed', tags=['version:1'])
def test():
pass
test()
dog.histogram('timed', 20, timestamp=300.0, tags=['db', 'version:2'])
reporter.metrics = []
dog.flush(400)
for metric in reporter.metrics:
assert metric['tags'] # this is enough
def test_tags(self):
dog = DogStatsApi()
dog.start(roll_up_interval=10, flush_in_thread=False)
reporter = dog.reporter = MemoryReporter()
# Post the same metric with different tags.
dog.gauge('gauge', 10, timestamp=100.0)
dog.gauge('gauge', 15, timestamp=100.0, tags=['env:production', 'db'])
dog.gauge('gauge', 20, timestamp=100.0, tags=['env:staging'])
dog.increment('counter', timestamp=100.0)
dog.increment('counter', timestamp=100.0, tags=['env:production', 'db'])
dog.increment('counter', timestamp=100.0, tags=['env:staging'])
dog.flush(200.0)
metrics = self.sort_metrics(reporter.metrics)
nt.assert_equal(len(metrics), 6)
[c1, c2, c3, g1, g2, g3] = metrics
(nt.assert_equal(c['metric'], 'counter') for c in [c1, c2, c3])
nt.assert_equal(c1['tags'], None)
nt.assert_equal(c1['points'][0][1], 1)
nt.assert_equal(c2['tags'], ['env:production', 'db'])
nt.assert_equal(c2['points'][0][1], 1)
nt.assert_equal(c3['tags'], ['env:staging'])
nt.assert_equal(c3['points'][0][1], 1)
(nt.assert_equal(c['metric'], 'gauge') for c in [g1, g2, g3])
nt.assert_equal(g1['tags'], None)
nt.assert_equal(g1['points'][0][1], 10)
nt.assert_equal(g2['tags'], ['env:production', 'db'])
nt.assert_equal(g2['points'][0][1], 15)
nt.assert_equal(g3['tags'], ['env:staging'])
nt.assert_equal(g3['points'][0][1], 20)
# Ensure histograms work as well.
@dog.timed('timed', tags=['version:1'])
def test():
pass
test()
dog.histogram('timed', 20, timestamp=300.0, tags=['db', 'version:2'])
reporter.metrics = []
dog.flush(400)
for metric in reporter.metrics:
assert metric['tags'] # this is enough
