Last active
September 29, 2016 17:53
-
-
Save chutten/a2633a869932d6ccdbc00645a3727941 to your computer and use it in GitHub Desktop.
release_spinners_frequencies
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
# coding: utf-8 | |
# ### Egregious Spinners on Release 49 and their Frequencies of Occurence | |
# In[1]: | |
import ujson as json | |
import matplotlib.pyplot as plt | |
import pandas as pd | |
import numpy as np | |
import plotly.plotly as py | |
from plotly.graph_objs import * | |
import IPython | |
from moztelemetry import get_pings, get_pings_properties, get_one_ping_per_client, get_clients_history, get_records | |
get_ipython().magic(u'pylab inline') | |
IPython.core.pylabtools.figsize(16, 7) | |
# In[2]: | |
sc.defaultParallelism | |
# In[5]: | |
pings = get_pings(sc, app="Firefox", channel="release", build_id=("20160916101415", "20160922113459"), submission_date="20160928", fraction=1) | |
# In[6]: | |
pings.count() | |
# In[7]: | |
subset = get_pings_properties(pings, ["clientId", | |
"environment/system/os/name", | |
"environment/system/memoryMB", | |
"environment/system/cpu/speedMHz", | |
"environment/addons/activeAddons", | |
"payload/histograms/GC_MAX_PAUSE_MS", | |
"payload/histograms/CYCLE_COLLECTOR_MAX_PAUSE", | |
"payload/histograms/FX_TAB_SWITCH_SPINNER_VISIBLE_LONG_MS"], with_processes=True) | |
# In[8]: | |
acceptable_addons = set([ | |
"e10srollout@mozilla.org", | |
"firefox@getpocket.com", | |
"webcompat@mozilla.org", | |
]) | |
def no_addons(p): | |
return p["environment/addons/activeAddons"] is None or len(p["environment/addons/activeAddons"]) == 0 or len(set(p["environment/addons/activeAddons"].keys()) | acceptable_addons) == len(acceptable_addons) | |
acceptable = subset.filter(no_addons) | |
# In[9]: | |
subset = acceptable | |
# In[10]: | |
ping_count = subset.count() | |
ping_count | |
# In[11]: | |
spinning_pings = subset.filter(lambda p: p["payload/histograms/FX_TAB_SWITCH_SPINNER_VISIBLE_LONG_MS"] is not None) | |
spinning_pings.count() | |
# In[12]: | |
client_count = get_one_ping_per_client(subset).count() | |
client_count | |
# In[13]: | |
spinning_clients_count = get_one_ping_per_client(spinning_pings).count() | |
spinning_clients_count | |
# In[14]: | |
hgram = "payload/histograms/FX_TAB_SWITCH_SPINNER_VISIBLE_LONG_MS" | |
def has_longish_spinner(p): | |
if p[hgram] is None: | |
return False | |
for bucket, count in p[hgram].iteritems(): | |
if bucket > 1000 and count > 0: | |
return True | |
return False | |
longish_spinning_pings = spinning_pings.filter(has_longish_spinner) | |
longish_spinning_pings.count() | |
# In[15]: | |
longish_spinning_clients = get_one_ping_per_client(longish_spinning_pings) | |
longish_spinning_clients.count() | |
# #### Check frequencies of spinners per client, per bucket | |
# In[16]: | |
client_spinner_freq = spinning_pings .flatMap(lambda p: [((p["clientId"], bucket), p[hgram][bucket]) for bucket in p[hgram].keys()]) .reduceByKey(lambda a,b: a+b) | |
# In[17]: | |
limit = 50 | |
for bucket in spinning_pings.take(1)[0][hgram].keys(): | |
bucket_client_spinner_freq = client_spinner_freq .filter(lambda x: x[0][1] == bucket) .map(lambda x: x[1] if x[1] < limit else limit) # cap to a max of `limit` spinners | |
bucket_spinner_series = pd.Series(bucket_client_spinner_freq.collect()) | |
bucket_spinner_series.hist(bins=limit, log=True, width=1) | |
plt.xlim(0, limit) | |
plt.title("Spinners of length %d" % bucket) | |
plt.xlabel("Number of spinners ( %d total )" % bucket_spinner_series.sum()) | |
plt.ylabel("Number of clients") | |
plt.show() | |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment