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analytics: Add subgroup column to analytics tables.

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This is a major change to the analytics schema, and is the first step in a
number of refactorings and performance improvements. For instance, it allows

* Grouping sets of similar CountStats in the *Count tables. For instance,
  active{_humans,_bots} will now have the same property, but have different
  subgroup values.

* Combining queries that differ only in their value on 1 filter clause, so
  that we make fewer passes through the zerver tables. For instance, instead
  of running a query for each of messages_sent_to_public_streams and
  messages_sent_to_private_streams, we can now run a single query with a
  group by on Stream.invite_only, and store the group by value in the
  subgroup column.
This commit is contained in:
umkay
2016-10-25 15:41:57 -07:00
committed by Tim Abbott
parent f98e605840
commit 610e92b94e
4 changed files with 83 additions and 39 deletions
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68
analytics/lib/counts.py
View File

@@ -8,7 +8,7 @@ from analytics.models import InstallationCount, RealmCount, \
from zerver.models import Realm, UserProfile, Message, Stream, models
from zerver.lib.timestamp import floor_to_day
from typing import Any, Optional, Type
from typing import Any, Optional, Type, Tuple
from six import text_type
import logging
@@ -36,12 +36,13 @@ class CountStat(object):
# Allowed intervals are HOUR, DAY, and, GAUGE
GAUGE = 'gauge'
def __init__(self, property, zerver_count_query, filter_args, frequency, is_gauge):
# type: (text_type, ZerverCountQuery, Dict[str, bool], str, bool) -> None
def __init__(self, property, zerver_count_query, filter_args, group_by, frequency, is_gauge):
# type: (text_type, ZerverCountQuery, Dict[str, bool], Optional[Tuple[models.Model, str]], str, bool) -> None
self.property = property
self.zerver_count_query = zerver_count_query
# might have to do something different for bitfields
self.filter_args = filter_args
self.group_by = group_by
if frequency not in self.FREQUENCIES:
raise ValueError("Unknown frequency: %s" % (frequency,))
self.frequency = frequency
@@ -120,9 +121,10 @@ def do_aggregate_to_summary_table(stat, end_time, interval):
if analytics_table in (UserCount, StreamCount):
realmcount_query = """
INSERT INTO analytics_realmcount
(realm_id, value, property, end_time, interval)
(realm_id, value, property, subgroup, end_time, interval)
SELECT
zerver_realm.id, COALESCE(sum(%(analytics_table)s.value), 0), '%(property)s', %%(end_time)s, '%(interval)s'
zerver_realm.id, COALESCE(sum(%(analytics_table)s.value), 0), '%(property)s',
%(analytics_table)s.subgroup, %%(end_time)s, '%(interval)s'
FROM zerver_realm
LEFT JOIN %(analytics_table)s
ON
@@ -132,11 +134,10 @@ def do_aggregate_to_summary_table(stat, end_time, interval):
%(analytics_table)s.end_time = %%(end_time)s AND
%(analytics_table)s.interval = '%(interval)s'
)
GROUP BY zerver_realm.id
GROUP BY zerver_realm.id, %(analytics_table)s.subgroup
""" % {'analytics_table' : analytics_table._meta.db_table,
'property' : stat.property,
'interval' : interval}
start = time.time()
cursor.execute(realmcount_query, {'end_time': end_time})
end = time.time()
@@ -145,19 +146,18 @@ def do_aggregate_to_summary_table(stat, end_time, interval):
# Aggregate into InstallationCount
installationcount_query = """
INSERT INTO analytics_installationcount
(value, property, end_time, interval)
(value, property, subgroup, end_time, interval)
SELECT
COALESCE(sum(value), 0), '%(property)s', %%(end_time)s, '%(interval)s'
COALESCE(sum(value), 0), '%(property)s', analytics_realmcount.subgroup, %%(end_time)s, '%(interval)s'
FROM analytics_realmcount
WHERE
(
property = '%(property)s' AND
end_time = %%(end_time)s AND
interval = '%(interval)s'
)
) GROUP BY analytics_realmcount.subgroup
""" % {'property': stat.property,
'interval': interval}
start = time.time()
cursor.execute(installationcount_query, {'end_time': end_time})
end = time.time()
@@ -170,13 +170,22 @@ def do_pull_from_zerver(stat, start_time, end_time, interval):
zerver_table = stat.zerver_count_query.zerver_table._meta.db_table # type: ignore
join_args = ' '.join('AND %s.%s = %s' % (zerver_table, key, value) \
for key, value in stat.filter_args.items())
if stat.group_by is None:
subgroup = 'NULL'
group_by_clause = ''
else:
subgroup = '%s.%s' % (stat.group_by[0]._meta.db_table, stat.group_by[1])
group_by_clause = ', ' + subgroup
# We do string replacement here because passing join_args as a param
# may result in problems when running cursor.execute; we do
# the string formatting prior so that cursor.execute runs it as sql
query_ = stat.zerver_count_query.query % {'zerver_table' : zerver_table,
'property' : stat.property,
'interval' : interval,
'join_args' : join_args}
'join_args' : join_args,
'subgroup': subgroup,
'group_by_clause': group_by_clause}
cursor = connection.cursor()
start = time.time()
cursor.execute(query_, {'time_start': start_time, 'time_end': end_time})
@@ -186,9 +195,9 @@ def do_pull_from_zerver(stat, start_time, end_time, interval):
count_user_by_realm_query = """
INSERT INTO analytics_realmcount
(realm_id, value, property, end_time, interval)
(realm_id, value, property, subgroup, end_time, interval)
SELECT
zerver_realm.id, count(%(zerver_table)s),'%(property)s', %%(time_end)s, '%(interval)s'
zerver_realm.id, count(%(zerver_table)s),'%(property)s', %(subgroup)s, %%(time_end)s, '%(interval)s'
FROM zerver_realm
LEFT JOIN zerver_userprofile
ON
@@ -200,16 +209,16 @@ count_user_by_realm_query = """
)
WHERE
zerver_realm.date_created < %%(time_end)s
GROUP BY zerver_realm.id
GROUP BY zerver_realm.id %(group_by_clause)s
"""
zerver_count_user_by_realm = ZerverCountQuery(UserProfile, RealmCount, count_user_by_realm_query)
# currently .sender_id is only Message specific thing
count_message_by_user_query = """
INSERT INTO analytics_usercount
(user_id, realm_id, value, property, end_time, interval)
(user_id, realm_id, value, property, subgroup, end_time, interval)
SELECT
zerver_userprofile.id, zerver_userprofile.realm_id, count(*), '%(property)s', %%(time_end)s, '%(interval)s'
zerver_userprofile.id, zerver_userprofile.realm_id, count(*), '%(property)s', %(subgroup)s, %%(time_end)s, '%(interval)s'
FROM zerver_userprofile
JOIN zerver_message
ON
@@ -221,15 +230,15 @@ count_message_by_user_query = """
)
WHERE
zerver_userprofile.date_joined < %%(time_end)s
GROUP BY zerver_userprofile.id
GROUP BY zerver_userprofile.id %(group_by_clause)s
"""
zerver_count_message_by_user = ZerverCountQuery(Message, UserCount, count_message_by_user_query)
count_message_by_stream_query = """
INSERT INTO analytics_streamcount
(stream_id, realm_id, value, property, end_time, interval)
(stream_id, realm_id, value, property, subgroup, end_time, interval)
SELECT
zerver_stream.id, zerver_stream.realm_id, count(*), '%(property)s', %%(time_end)s, '%(interval)s'
zerver_stream.id, zerver_stream.realm_id, count(*), '%(property)s', %(subgroup)s, %%(time_end)s, '%(interval)s'
FROM zerver_stream
INNER JOIN zerver_recipient
ON
@@ -246,15 +255,15 @@ count_message_by_stream_query = """
zerver_stream.date_created < %%(time_end)s
%(join_args)s
)
GROUP BY zerver_stream.id
GROUP BY zerver_stream.id %(group_by_clause)s
"""
zerver_count_message_by_stream = ZerverCountQuery(Message, StreamCount, count_message_by_stream_query)
count_stream_by_realm_query = """
INSERT INTO analytics_realmcount
(realm_id, value, property, end_time, interval)
(realm_id, value, property, subgroup, end_time, interval)
SELECT
zerver_realm.id, count(*), '%(property)s', %%(time_end)s, '%(interval)s'
zerver_realm.id, count(*), '%(property)s', %(subgroup)s, %%(time_end)s, '%(interval)s'
FROM zerver_realm
LEFT JOIN zerver_stream
ON
@@ -266,13 +275,14 @@ count_stream_by_realm_query = """
)
WHERE
zerver_realm.date_created < %%(time_end)s
GROUP BY zerver_realm.id
GROUP BY zerver_realm.id %(group_by_clause)s
"""
zerver_count_stream_by_realm = ZerverCountQuery(Stream, RealmCount, count_stream_by_realm_query)
COUNT_STATS = {
'active_humans': CountStat('active_humans', zerver_count_user_by_realm,
{'is_bot': False, 'is_active': True}, CountStat.DAY, True),
'active_bots': CountStat('active_bots', zerver_count_user_by_realm,
{'is_bot': True, 'is_active': True}, CountStat.DAY, True),
'messages_sent': CountStat('messages_sent', zerver_count_message_by_user, {}, CountStat.HOUR, False)}
'active_users_by_is_bot': CountStat('active_users_by_is_bot', zerver_count_user_by_realm,
{'is_active': True}, (UserProfile, 'is_bot'), CountStat.DAY, True),
'messages_sent': CountStat('messages_sent', zerver_count_message_by_user, {}, None,
CountStat.HOUR, False),
'messages_sent_by_is_bot': CountStat('messages_sent_by_is_bot', zerver_count_message_by_user, {}, (UserProfile, 'is_bot'),
CountStat.DAY, False)}

34
analytics/migrations/0004_add_subgroup.py Normal file
View File

@@ -0,0 +1,34 @@
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('analytics', '0003_fillstate'),
]
operations = [
migrations.AddField(
model_name='installationcount',
name='subgroup',
field=models.CharField(max_length=16, null=True),
),
migrations.AddField(
model_name='realmcount',
name='subgroup',
field=models.CharField(max_length=16, null=True),
),
migrations.AddField(
model_name='streamcount',
name='subgroup',
field=models.CharField(max_length=16, null=True),
),
migrations.AddField(
model_name='usercount',
name='subgroup',
field=models.CharField(max_length=16, null=True),
),
]

1
analytics/models.py
View File

@@ -52,6 +52,7 @@ class BaseCount(ModelReprMixin, models.Model):
# the order of the columns in the migration to make sure they
# match how you'd like the table to be arranged.
property = models.CharField(max_length=40) # type: text_type
subgroup = models.CharField(max_length=16, null=True) # type: text_type
end_time = models.DateTimeField() # type: datetime.datetime
interval = models.CharField(max_length=20) # type: text_type
value = models.BigIntegerField() # type: int

19
analytics/tests/test_counts.py
View File

@@ -25,7 +25,7 @@ class AnalyticsTestCase(TestCase):
TIME_LAST_HOUR = TIME_ZERO - HOUR
count_stat = CountStat('test stat', ZerverCountQuery(Recipient, UserCount, 'select 0'),
{}, CountStat.HOUR, False)
{}, None, CountStat.HOUR, False)
def setUp(self):
# type: () -> None
@@ -90,7 +90,7 @@ class TestUpdateAnalyticsCounts(AnalyticsTestCase):
# might change if we refactor count_query
stat = CountStat('test_stat_write', zerver_count_stream_by_realm,
{'invite_only': False}, CountStat.HOUR, False)
{'invite_only': False}, None, CountStat.HOUR, False)
# add some stuff to zerver_*
self.create_stream(name='stream1')
@@ -105,7 +105,7 @@ class TestUpdateAnalyticsCounts(AnalyticsTestCase):
def test_update_analytics_tables(self):
# type: () -> None
stat = CountStat('test_messages_sent', zerver_count_message_by_user, {}, CountStat.HOUR, False)
stat = CountStat('test_messages_sent', zerver_count_message_by_user, {}, None, CountStat.HOUR, False)
user1 = self.create_user('email1')
user2 = self.create_user('email2')
@@ -167,7 +167,7 @@ class TestProcessCountStat(AnalyticsTestCase):
# test users added in last hour
def test_add_new_users(self):
# type: () -> None
stat = CountStat('add_new_user_test', zerver_count_user_by_realm, {}, CountStat.HOUR, False)
stat = CountStat('add_new_user_test', zerver_count_user_by_realm, {}, None, CountStat.HOUR, False)
# add new users to realm in last hour
self.create_user('email1')
@@ -185,7 +185,7 @@ class TestProcessCountStat(AnalyticsTestCase):
def test_count_before_realm_creation(self):
# type: () -> None
stat = CountStat('test_active_humans', zerver_count_user_by_realm,
{'is_bot': False, 'is_active': True}, CountStat.HOUR, False)
{'is_bot': False, 'is_active': True}, None, CountStat.HOUR, False)
realm = Realm.objects.create(domain='domain', name='name', date_created=self.TIME_ZERO)
self.create_user('email', realm=realm)
@@ -198,7 +198,7 @@ class TestProcessCountStat(AnalyticsTestCase):
# type: () -> None
# test that rows with empty counts are returned if realm exists
stat = CountStat('test_active_humans', zerver_count_user_by_realm,
{'is_bot': False, 'is_active': True}, CountStat.HOUR, False)
{'is_bot': False, 'is_active': True}, None, CountStat.HOUR, False)
do_fill_count_stat_at_hour(stat, self.TIME_ZERO)
self.assertCountEquals(RealmCount, 'test_active_humans', 0)
@@ -216,7 +216,7 @@ class TestAggregates(AnalyticsTestCase):
class TestXByYQueries(AnalyticsTestCase):
def test_message_to_stream_aggregation(self):
# type: () -> None
stat = CountStat('test_messages_to_stream', zerver_count_message_by_stream, {}, CountStat.HOUR, False)
stat = CountStat('test_messages_to_stream', zerver_count_message_by_stream, {}, None, CountStat.HOUR, False)
# write some messages
user = self.create_user('email')
@@ -236,12 +236,11 @@ class TestCountStats(AnalyticsTestCase):
def test_human_and_bot_count_by_realm(self):
# type: () -> None
stats = [
CountStat('test_active_humans', zerver_count_user_by_realm, {'is_bot': False, 'is_active': True},
CountStat('test_active_humans', zerver_count_user_by_realm, {'is_bot': False, 'is_active': True}, None,
CountStat.HOUR, False),
CountStat('test_active_bots', zerver_count_user_by_realm, {'is_bot': True, 'is_active': True},
CountStat('test_active_bots', zerver_count_user_by_realm, {'is_bot': True, 'is_active': True}, None,
CountStat.HOUR, False)]
# TODO these dates should probably be explicit, since the default args for the commands are timezone.now() dependent.
self.create_user('email1-bot', is_bot=True)
self.create_user('email2-bot', is_bot=True)
self.create_user('email3-human', is_bot=False)