diff options
Diffstat (limited to 'synapse')
| -rw-r--r-- | synapse/storage/__init__.py | 87 |
1 files changed, 57 insertions, 30 deletions
diff --git a/synapse/storage/__init__.py b/synapse/storage/__init__.py index 70c6171404..0b4693041f 100644 --- a/synapse/storage/__init__.py +++ b/synapse/storage/__init__.py @@ -269,50 +269,77 @@ class DataStore(RoomMemberStore, RoomStore, * Users who have created their accounts more than 30 days * Where last seen at most 30 days ago * Where account creation and last_seen are > 30 days + + Returns counts globaly for a given user as well as breaking + by platform """ def _count_r30_users(txn): thirty_days_in_secs = 86400 * 30 now = int(self._clock.time_msec()) thirty_days_ago_in_secs = now - thirty_days_in_secs - # Are these filters sufficiently robust? - filters = { - "ALL": "", - "IOS": "^(Vector|Riot|Riot\.im)\/.* iOS", - "ANDROID": "^(Dalvik|Riot|Riot\.im)\/.* Android", - "ELECTRON": "Electron", - "WEB": "(Gecko|Mozilla)", - } + sql = """ + SELECT platform, COALESCE(count(*), 0) FROM ( + SELECT users.name, platform, users.creation_ts * 1000, MAX(uip.last_seen) + FROM users + INNER JOIN ( + SELECT + user_id, + last_seen, + CASE + WHEN user_agent LIKE '%Android%' THEN 'android' + WHEN user_agent LIKE '%iOS%' THEN 'ios' + WHEN user_agent LIKE '%Electron%' THEN 'electron' + WHEN user_agent LIKE '%Mozilla%' THEN 'web' + WHEN user_agent LIKE '%Gecko%' THEN 'web' + ELSE 'unknown' + END + AS platform + FROM user_ips + ) uip + ON users.name = uip.user_id + AND users.appservice_id is NULL + AND users.creation_ts < ? + AND uip.last_seen/1000 > ? + AND (uip.last_seen/1000) - users.creation_ts > 86400 * 30 + GROUP BY users.name, platform, users.creation_ts + ) u GROUP BY platform + """ + + results = {} + txn.execute(sql, (thirty_days_ago_in_secs, + thirty_days_ago_in_secs)) + rows = txn.fetchall() + for row in rows: + if row[0] is 'unknown': + pass + results[row[0]] = row[1] sql = """ SELECT COALESCE(count(*), 0) FROM ( - SELECT users.name, users.creation_ts * 1000, MAX(user_ips.last_seen) - FROM users, user_ips - WHERE users.name = user_ips.user_id + SELECT users.name, users.creation_ts * 1000, MAX(uip.last_seen) + FROM users + INNER JOIN ( + SELECT + user_id, + last_seen + FROM user_ips + ) uip + ON users.name = uip.user_id AND appservice_id is NULL AND users.creation_ts < ? - AND user_ips.last_seen/1000 > ? - AND (user_ips.last_seen/1000) - users.creation_ts > ? + AND uip.last_seen/1000 > ? + AND (uip.last_seen/1000) - users.creation_ts > 86400 * 30 + GROUP BY users.name, users.creation_ts + ) u """ - if isinstance(self.database_engine, PostgresEngine): - sql = sql + "AND user_ips.user_agent ~ ? " - sql = sql + "GROUP BY users.name, users.creation_ts ) u" + txn.execute(sql, (thirty_days_ago_in_secs, + thirty_days_ago_in_secs)) + + count, = txn.fetchone() + results['all'] = count - results = {} - if isinstance(self.database_engine, PostgresEngine): - for filter_name, user_agent_filter in filters.items(): - txn.execute(sql, (thirty_days_ago_in_secs, - thirty_days_ago_in_secs, - thirty_days_in_secs, - user_agent_filter)) - results[filter_name], = txn.fetchone() - - else: - txn.execute(sql, (thirty_days_ago_in_secs, - thirty_days_ago_in_secs, - thirty_days_in_secs)) - results["ALL"], = txn.fetchone() return results return self.runInteraction("count_r30_users", _count_r30_users) |