diff options
Diffstat (limited to 'synapse')
| -rwxr-xr-x | synapse/app/homeserver.py | 19 | ||||
| -rw-r--r-- | synapse/storage/__init__.py | 54 |
2 files changed, 30 insertions, 43 deletions
diff --git a/synapse/app/homeserver.py b/synapse/app/homeserver.py index f785a7a22b..bfc79a5e81 100755 --- a/synapse/app/homeserver.py +++ b/synapse/app/homeserver.py @@ -17,6 +17,7 @@ import gc import logging import os import sys +import datetime import synapse import synapse.config.logger @@ -475,9 +476,24 @@ def run(hs): " changes across releases." ) + # def recurring_user_daily_visit_stats(): + def generate_user_daily_visit_stats(): hs.get_datastore().generate_user_daily_visits() + # Since user daily stats are bucketed at midnight UTC, + # and user_ips.last_seen can be updated at any time, it is important to call + # generate_user_daily_visit_stats immediately prior to the day end. Assuming + # an hourly cadence, the simplist way is to allign all calls to the hour + # end + end_of_hour = datetime.datetime.now().replace(microsecond=0, second=0, minute=0) \ + + datetime.timedelta(hours=1) \ + - datetime.timedelta(seconds=10) # Ensure method fires before day transistion + + time_to_next_hour = end_of_hour - datetime.datetime.now() + clock.call_later(time_to_next_hour.seconds, + clock.looping_call(generate_user_daily_visit_stats, 60 * 60 * 1000)) + if hs.config.report_stats: logger.info("Scheduling stats reporting for 3 hour intervals") clock.looping_call(phone_stats_home, 3 * 60 * 60 * 1000) @@ -490,9 +506,6 @@ def run(hs): # be quite busy the first few minutes clock.call_later(5 * 60, phone_stats_home) - clock.looping_call(generate_user_daily_visit_stats, 10 * 60 * 1000) - clock.call_later(5 * 60, generate_user_daily_visit_stats) - if hs.config.daemonize and hs.config.print_pidfile: print (hs.config.pid_file) diff --git a/synapse/storage/__init__.py b/synapse/storage/__init__.py index b51cf70336..6949876c13 100644 --- a/synapse/storage/__init__.py +++ b/synapse/storage/__init__.py @@ -353,48 +353,22 @@ class DataStore(RoomMemberStore, RoomStore, Generates daily visit data for use in cohort/ retention analysis """ def _generate_user_daily_visits(txn): - logger.info("Calling _generate_user_daily_visits") - # determine timestamp of previous days - yesterday = datetime.datetime.utcnow() - datetime.timedelta(days=1) - yesterday_start = datetime.datetime(yesterday.year, yesterday.month, - yesterday.day, tzinfo=tz.tzutc()) - yesterday_start_time = int(time.mktime(yesterday_start.timetuple())) * 1000 - - # Check that this job has not already been completed - sql = """ - SELECT timestamp - FROM user_daily_visits - ORDER by timestamp desc limit 1 - """ - txn.execute(sql) - row = txn.fetchone() - - # Bail if the most recent time is yesterday - if row and row[0] == yesterday_start_time: - return - - # Not specificying an upper bound means that if the update is run at - # 10 mins past midnight and the user is active during a 30 min session - # that the user is still included in the previous days stats - # This does mean that if the update is run hours late, then it is possible - # to overstate the cohort, but this seems a reasonable trade off - # The alternative is to insert on every request - but prefer to avoid - # for performance reasons - sql = """ - SELECT user_id, device_id - FROM user_ips - WHERE last_seen > ? - """ - txn.execute(sql, (yesterday_start_time,)) - user_visits = txn.fetchall() + # determine timestamp of the day start + now = datetime.datetime.utcnow() + today_start = datetime.datetime(now.year, now.month, + now.day, tzinfo=tz.tzutc()) + today_start_time = int(time.mktime(today_start.timetuple())) * 1000 + logger.info(today_start_time) sql = """ - INSERT INTO user_daily_visits (user_id, device_id, timestamp) - VALUES (?, ?, ?) - """ - - for visit in user_visits: - txn.execute(sql, (visit + (yesterday_start_time,))) + INSERT INTO user_daily_visits (user_id, device_id, timestamp) + SELECT user_id, device_id, ? + FROM user_ips AS u + LEFT JOIN user_daily_visits USING (user_id, device_id) + WHERE last_seen > ? AND timestamp IS NULL + GROUP BY user_id, device_id; + """ + txn.execute(sql, (today_start_time, today_start_time)) return self.runInteraction("generate_user_daily_visits", _generate_user_daily_visits) |