normalise reaping query
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@ -7,6 +7,7 @@ class MonthlyActiveUsersStore(SQLBaseStore):
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def __init__(self, hs):
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super(MonthlyActiveUsersStore, self).__init__(None, hs)
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self._clock = hs.get_clock()
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self.max_mau_value = hs.config.max_mau_value
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def reap_monthly_active_users(self):
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"""
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@ -19,8 +20,42 @@ class MonthlyActiveUsersStore(SQLBaseStore):
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thirty_days_ago = (
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int(self._clock.time_msec()) - (1000 * 60 * 60 * 24 * 30)
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)
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sql = "DELETE FROM monthly_active_users WHERE timestamp < ?"
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txn.execute(sql, (thirty_days_ago,))
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# Query deletes the union of users that have either:
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# * not visited in the last 30 days
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# * exceeded the total max_mau_value threshold. Where there is
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# an excess, more recent users are favoured - this is to cover
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# the case where the limit has been step change reduced.
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#
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sql = """
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DELETE FROM monthly_active_users
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WHERE user_id
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IN (
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SELECT * FROM (
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SELECT monthly_active_users.user_id
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FROM monthly_active_users
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LEFT JOIN (
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SELECT user_id, max(last_seen) AS last_seen
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FROM user_ips
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GROUP BY user_id
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) AS uip ON uip.user_id=monthly_active_users.user_id
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ORDER BY uip.last_seen desc LIMIT -1 OFFSET ?
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)
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UNION
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SELECT * FROM (
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SELECT monthly_active_users.user_id
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FROM monthly_active_users
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LEFT JOIN (
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SELECT user_id, max(last_seen) AS last_seen
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FROM user_ips
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GROUP BY user_id
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) AS uip ON uip.user_id=monthly_active_users.user_id
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WHERE uip.last_seen < ?
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)
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)
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"""
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txn.execute(sql, (self.max_mau_value, thirty_days_ago,))
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return self.runInteraction("reap_monthly_active_users", _reap_users)
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@ -45,7 +80,7 @@ class MonthlyActiveUsersStore(SQLBaseStore):
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user_id (str): user to add/update
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"""
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return self._simple_insert(
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desc="upsert_monthly_active_user",
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desc="insert_monthly_active_user",
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table="monthly_active_users",
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values={
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"user_id": user_id,
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