discourse/app/models/user_stat.rb

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# frozen_string_literal: true
class UserStat < ActiveRecord::Base
belongs_to :user
after_save :trigger_badges
self.ignored_columns = ["topic_reply_count"] # TODO: Remove when 20240212034010_drop_deprecated_columns has been promoted to pre-deploy
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def self.ensure_consistency!(last_seen = 1.hour.ago)
reset_bounce_scores
update_distinct_badge_count
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update_view_counts(last_seen)
update_first_unread(last_seen)
update_first_unread_pm(last_seen)
end
UPDATE_UNREAD_MINUTES_AGO = 10
UPDATE_UNREAD_USERS_LIMIT = 10_000
def self.update_first_unread_pm(last_seen, limit: UPDATE_UNREAD_USERS_LIMIT)
DB.exec(
<<~SQL,
UPDATE user_stats us
SET first_unread_pm_at = COALESCE(Z.min_date, :now)
FROM (
SELECT
u1.id user_id,
X.min_date
FROM users u1
LEFT JOIN (
SELECT
tau.user_id,
MIN(t.updated_at) min_date
FROM topic_allowed_users tau
INNER JOIN topics t ON t.id = tau.topic_id
INNER JOIN users u ON u.id = tau.user_id
LEFT JOIN topic_users tu ON t.id = tu.topic_id AND tu.user_id = tau.user_id
#{SiteSetting.whispers_allowed_groups_map.any? ? "LEFT JOIN group_users gu ON gu.group_id IN (:whisperers_group_ids) AND gu.user_id = u.id" : ""}
WHERE t.deleted_at IS NULL
AND t.archetype = :archetype
AND tu.last_read_post_number < CASE
WHEN u.admin OR u.moderator #{SiteSetting.whispers_allowed_groups_map.any? ? "OR gu.id IS NOT NULL" : ""}
THEN t.highest_staff_post_number
ELSE t.highest_post_number
END
AND (COALESCE(tu.notification_level, 1) >= 2)
AND tau.user_id IN (
SELECT id
FROM users
WHERE last_seen_at IS NOT NULL
AND last_seen_at > :last_seen
ORDER BY last_seen_at DESC
LIMIT :limit
)
GROUP BY tau.user_id
) AS X ON X.user_id = u1.id
WHERE u1.id IN (
SELECT id
FROM users
WHERE last_seen_at IS NOT NULL
AND last_seen_at > :last_seen
ORDER BY last_seen_at DESC
LIMIT :limit
)
) AS Z
WHERE us.user_id = Z.user_id
SQL
archetype: Archetype.private_message,
now: UPDATE_UNREAD_MINUTES_AGO.minutes.ago,
last_seen: last_seen,
limit: limit,
whisperers_group_ids: SiteSetting.whispers_allowed_groups_map,
)
end
def self.update_first_unread(last_seen, limit: UPDATE_UNREAD_USERS_LIMIT)
DB.exec(<<~SQL, min_date: last_seen, limit: limit, now: UPDATE_UNREAD_MINUTES_AGO.minutes.ago)
UPDATE user_stats us
SET first_unread_at = COALESCE(Y.min_date, :now)
FROM (
SELECT u1.id user_id,
X.min min_date
FROM users u1
LEFT JOIN
(SELECT u.id AS user_id,
min(topics.updated_at) min
FROM users u
LEFT JOIN topic_users tu ON tu.user_id = u.id
LEFT JOIN topics ON tu.topic_id = topics.id
JOIN user_stats AS us ON us.user_id = u.id
JOIN user_options AS uo ON uo.user_id = u.id
JOIN categories c ON c.id = topics.category_id
WHERE u.id IN (
SELECT id
FROM users
WHERE last_seen_at IS NOT NULL
AND last_seen_at > :min_date
ORDER BY last_seen_at DESC
LIMIT :limit
)
AND topics.archetype <> 'private_message'
AND (("topics"."deleted_at" IS NULL
AND tu.last_read_post_number < CASE
WHEN u.admin
OR u.moderator THEN topics.highest_staff_post_number
ELSE topics.highest_post_number
END
AND COALESCE(tu.notification_level, 1) >= 2)
OR (1=0))
AND (topics.visible
OR u.admin
OR u.moderator)
AND topics.deleted_at IS NULL
AND (NOT c.read_restricted
OR u.admin
OR category_id IN
(SELECT c2.id
FROM categories c2
JOIN category_groups cg ON cg.category_id = c2.id
JOIN group_users gu ON gu.user_id = u.id
AND cg.group_id = gu.group_id
WHERE c2.read_restricted ))
AND NOT EXISTS
(SELECT 1
FROM category_users cu
WHERE last_read_post_number IS NULL
AND cu.user_id = u.id
AND cu.category_id = topics.category_id
AND cu.notification_level = 0)
GROUP BY u.id,
u.username) AS X ON X.user_id = u1.id
WHERE u1.id IN
(
SELECT id
FROM users
WHERE last_seen_at IS NOT NULL
AND last_seen_at > :min_date
ORDER BY last_seen_at DESC
LIMIT :limit
)
) Y
WHERE Y.user_id = us.user_id
SQL
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end
def self.reset_bounce_scores
UserStat
.where("reset_bounce_score_after < now()")
.where("bounce_score > 0")
.update_all(bounce_score: 0)
end
# Updates the denormalized view counts for all users
def self.update_view_counts(last_seen = 1.hour.ago)
# NOTE: we only update the counts for users we have seen in the last hour
# this avoids a very expensive query that may run on the entire user base
# we also ensure we only touch the table if data changes
# Update denormalized topics_entered
DB.exec(<<~SQL, seen_at: last_seen)
UPDATE user_stats SET topics_entered = X.c
FROM
(SELECT v.user_id, COUNT(topic_id) AS c
FROM topic_views AS v
WHERE v.user_id IN (
SELECT u1.id FROM users u1 where u1.last_seen_at > :seen_at
)
GROUP BY v.user_id) AS X
WHERE
X.user_id = user_stats.user_id AND
X.c <> topics_entered
SQL
# Update denormalized posts_read_count
DB.exec(<<~SQL, seen_at: last_seen)
FIX: improve performance of UserStat.ensure_consistency (#21044) Optimize `UserStatpost_read_count` calculation. In addition, tests were updated to fail when code is not evaluated. Creation of PostTiming was updating `post_read_count`. Count it has to be reset to ensure that ensure_consitency correctly calculates result. Extracting users seen in the last hour to separate Common Table Expression reduces the amount of processed rows. Before ``` Update on user_stats (cost=267492.07..270822.95 rows=2900 width=174) (actual time=12606.121..12606.127 rows=0 loops=1) -> Hash Join (cost=267492.07..270822.95 rows=2900 width=174) (actual time=12561.814..12603.689 rows=10 loops=1) Hash Cond: (user_stats.user_id = x.user_id) Join Filter: (x.c <> user_stats.posts_read_count) Rows Removed by Join Filter: 67 -> Seq Scan on user_stats (cost=0.00..3125.34 rows=75534 width=134) (actual time=0.014..39.173 rows=75534 loops=1) -> Hash (cost=267455.80..267455.80 rows=2901 width=48) (actual time=12558.613..12558.617 rows=77 loops=1) Buckets: 4096 Batches: 1 Memory Usage: 39kB -> Subquery Scan on x (cost=267376.03..267455.80 rows=2901 width=48) (actual time=12168.601..12558.572 rows=77 loops=1) -> GroupAggregate (cost=267376.03..267426.79 rows=2901 width=12) (actual time=12168.595..12558.525 rows=77 loops=1) Group Key: pt.user_id -> Sort (cost=267376.03..267383.28 rows=2901 width=4) (actual time=12100.490..12352.106 rows=2072830 loops=1) Sort Key: pt.user_id Sort Method: external merge Disk: 28488kB -> Nested Loop (cost=1.28..267209.18 rows=2901 width=4) (actual time=0.040..11528.680 rows=2072830 loops=1) -> Nested Loop (cost=0.86..261390.02 rows=13159 width=8) (actual time=0.030..3492.887 rows=3581648 loops=1) -> Index Scan using index_users_on_last_seen_at on users u (cost=0.42..89.71 rows=28 width=4) (actual time=0.010..0.201 rows=78 loops=1) Index Cond: (last_seen_at > '2023-04-11 00:22:49.555537'::timestamp without time zone) -> Index Scan using index_post_timings_on_user_id on post_timings pt (cost=0.44..9287.60 rows=4455 width=8) (actual time=0.081..38.542 rows=45919 loops=78) Index Cond: (user_id = u.id) -> Index Scan using forum_threads_pkey on topics t (cost=0.42..0.44 rows=1 width=4) (actual time=0.002..0.002 rows=1 loops=3581648) Index Cond: (id = pt.topic_id) Filter: ((deleted_at IS NULL) AND ((archetype)::text = 'regular'::text)) Rows Removed by Filter: 0 Planning Time: 0.692 ms Execution Time: 12612.587 ms ``` After ``` Update on user_stats (cost=9473.60..12804.30 rows=2828 width=174) (actual time=677.724..677.729 rows=0 loops=1) -> Hash Join (cost=9473.60..12804.30 rows=2828 width=174) (actual time=672.536..677.706 rows=1 loops=1) Hash Cond: (user_stats.user_id = x.user_id) Join Filter: (x.c <> user_stats.posts_read_count) Rows Removed by Join Filter: 54 -> Seq Scan on user_stats (cost=0.00..3125.34 rows=75534 width=134) (actual time=0.012..23.977 rows=75534 loops=1) -> Hash (cost=9438.24..9438.24 rows=2829 width=48) (actual time=647.818..647.822 rows=55 loops=1) Buckets: 4096 Batches: 1 Memory Usage: 37kB -> Subquery Scan on x (cost=9381.66..9438.24 rows=2829 width=48) (actual time=647.409..647.805 rows=55 loops=1) -> HashAggregate (cost=9381.66..9409.95 rows=2829 width=12) (actual time=647.403..647.786 rows=55 loops=1) Group Key: pt.user_id Batches: 1 Memory Usage: 121kB -> Nested Loop (cost=1.86..9367.51 rows=2829 width=4) (actual time=0.056..625.245 rows=120022 loops=1) -> Nested Loop (cost=1.44..3692.96 rows=12832 width=8) (actual time=0.047..171.754 rows=217440 loops=1) -> Nested Loop (cost=1.00..254.63 rows=25 width=12) (actual time=0.030..1.407 rows=56 loops=1) Join Filter: (u.id = user_stats_1.user_id) -> Nested Loop (cost=0.71..243.08 rows=25 width=8) (actual time=0.018..1.207 rows=87 loops=1) -> Index Scan using index_users_on_last_seen_at on users u (cost=0.42..86.71 rows=27 width=4) (actual time=0.009..0.156 rows=87 loops=1) Index Cond: (last_seen_at > '2023-04-11 00:47:07.437568'::timestamp without time zone) -> Index Only Scan using user_stats_pkey on user_stats us (cost=0.29..5.79 rows=1 width=4) (actual time=0.011..0.011 rows=1 loops=87) Index Cond: (user_id = u.id) Heap Fetches: 87 -> Index Scan using user_stats_pkey on user_stats user_stats_1 (cost=0.29..0.45 rows=1 width=4) (actual time=0.002..0.002 rows=1 loops=87) Index Cond: (user_id = us.user_id) Filter: (posts_read_count < 10000) Rows Removed by Filter: 0 -> Index Scan using index_post_timings_on_user_id on post_timings pt (cost=0.44..92.98 rows=4455 width=8) (actual time=0.036..2.492 rows=3883 loops=56) Index Cond: (user_id = user_stats_1.user_id) -> Index Scan using forum_threads_pkey on topics t (cost=0.42..0.44 rows=1 width=4) (actual time=0.002..0.002 rows=1 loops=217440) Index Cond: (id = pt.topic_id) Filter: ((deleted_at IS NULL) AND ((archetype)::text = 'regular'::text)) Rows Removed by Filter: 0 Planning Time: 1.406 ms Execution Time: 677.817 ms ```
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WITH filtered_users AS (
SELECT id FROM users u
JOIN user_stats ON user_id = u.id
WHERE last_seen_at > :seen_at
AND posts_read_count < 10000
)
UPDATE user_stats SET posts_read_count = X.c
FIX: improve performance of UserStat.ensure_consistency (#21044) Optimize `UserStatpost_read_count` calculation. In addition, tests were updated to fail when code is not evaluated. Creation of PostTiming was updating `post_read_count`. Count it has to be reset to ensure that ensure_consitency correctly calculates result. Extracting users seen in the last hour to separate Common Table Expression reduces the amount of processed rows. Before ``` Update on user_stats (cost=267492.07..270822.95 rows=2900 width=174) (actual time=12606.121..12606.127 rows=0 loops=1) -> Hash Join (cost=267492.07..270822.95 rows=2900 width=174) (actual time=12561.814..12603.689 rows=10 loops=1) Hash Cond: (user_stats.user_id = x.user_id) Join Filter: (x.c <> user_stats.posts_read_count) Rows Removed by Join Filter: 67 -> Seq Scan on user_stats (cost=0.00..3125.34 rows=75534 width=134) (actual time=0.014..39.173 rows=75534 loops=1) -> Hash (cost=267455.80..267455.80 rows=2901 width=48) (actual time=12558.613..12558.617 rows=77 loops=1) Buckets: 4096 Batches: 1 Memory Usage: 39kB -> Subquery Scan on x (cost=267376.03..267455.80 rows=2901 width=48) (actual time=12168.601..12558.572 rows=77 loops=1) -> GroupAggregate (cost=267376.03..267426.79 rows=2901 width=12) (actual time=12168.595..12558.525 rows=77 loops=1) Group Key: pt.user_id -> Sort (cost=267376.03..267383.28 rows=2901 width=4) (actual time=12100.490..12352.106 rows=2072830 loops=1) Sort Key: pt.user_id Sort Method: external merge Disk: 28488kB -> Nested Loop (cost=1.28..267209.18 rows=2901 width=4) (actual time=0.040..11528.680 rows=2072830 loops=1) -> Nested Loop (cost=0.86..261390.02 rows=13159 width=8) (actual time=0.030..3492.887 rows=3581648 loops=1) -> Index Scan using index_users_on_last_seen_at on users u (cost=0.42..89.71 rows=28 width=4) (actual time=0.010..0.201 rows=78 loops=1) Index Cond: (last_seen_at > '2023-04-11 00:22:49.555537'::timestamp without time zone) -> Index Scan using index_post_timings_on_user_id on post_timings pt (cost=0.44..9287.60 rows=4455 width=8) (actual time=0.081..38.542 rows=45919 loops=78) Index Cond: (user_id = u.id) -> Index Scan using forum_threads_pkey on topics t (cost=0.42..0.44 rows=1 width=4) (actual time=0.002..0.002 rows=1 loops=3581648) Index Cond: (id = pt.topic_id) Filter: ((deleted_at IS NULL) AND ((archetype)::text = 'regular'::text)) Rows Removed by Filter: 0 Planning Time: 0.692 ms Execution Time: 12612.587 ms ``` After ``` Update on user_stats (cost=9473.60..12804.30 rows=2828 width=174) (actual time=677.724..677.729 rows=0 loops=1) -> Hash Join (cost=9473.60..12804.30 rows=2828 width=174) (actual time=672.536..677.706 rows=1 loops=1) Hash Cond: (user_stats.user_id = x.user_id) Join Filter: (x.c <> user_stats.posts_read_count) Rows Removed by Join Filter: 54 -> Seq Scan on user_stats (cost=0.00..3125.34 rows=75534 width=134) (actual time=0.012..23.977 rows=75534 loops=1) -> Hash (cost=9438.24..9438.24 rows=2829 width=48) (actual time=647.818..647.822 rows=55 loops=1) Buckets: 4096 Batches: 1 Memory Usage: 37kB -> Subquery Scan on x (cost=9381.66..9438.24 rows=2829 width=48) (actual time=647.409..647.805 rows=55 loops=1) -> HashAggregate (cost=9381.66..9409.95 rows=2829 width=12) (actual time=647.403..647.786 rows=55 loops=1) Group Key: pt.user_id Batches: 1 Memory Usage: 121kB -> Nested Loop (cost=1.86..9367.51 rows=2829 width=4) (actual time=0.056..625.245 rows=120022 loops=1) -> Nested Loop (cost=1.44..3692.96 rows=12832 width=8) (actual time=0.047..171.754 rows=217440 loops=1) -> Nested Loop (cost=1.00..254.63 rows=25 width=12) (actual time=0.030..1.407 rows=56 loops=1) Join Filter: (u.id = user_stats_1.user_id) -> Nested Loop (cost=0.71..243.08 rows=25 width=8) (actual time=0.018..1.207 rows=87 loops=1) -> Index Scan using index_users_on_last_seen_at on users u (cost=0.42..86.71 rows=27 width=4) (actual time=0.009..0.156 rows=87 loops=1) Index Cond: (last_seen_at > '2023-04-11 00:47:07.437568'::timestamp without time zone) -> Index Only Scan using user_stats_pkey on user_stats us (cost=0.29..5.79 rows=1 width=4) (actual time=0.011..0.011 rows=1 loops=87) Index Cond: (user_id = u.id) Heap Fetches: 87 -> Index Scan using user_stats_pkey on user_stats user_stats_1 (cost=0.29..0.45 rows=1 width=4) (actual time=0.002..0.002 rows=1 loops=87) Index Cond: (user_id = us.user_id) Filter: (posts_read_count < 10000) Rows Removed by Filter: 0 -> Index Scan using index_post_timings_on_user_id on post_timings pt (cost=0.44..92.98 rows=4455 width=8) (actual time=0.036..2.492 rows=3883 loops=56) Index Cond: (user_id = user_stats_1.user_id) -> Index Scan using forum_threads_pkey on topics t (cost=0.42..0.44 rows=1 width=4) (actual time=0.002..0.002 rows=1 loops=217440) Index Cond: (id = pt.topic_id) Filter: ((deleted_at IS NULL) AND ((archetype)::text = 'regular'::text)) Rows Removed by Filter: 0 Planning Time: 1.406 ms Execution Time: 677.817 ms ```
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FROM (SELECT pt.user_id, COUNT(*) as c
FROM filtered_users AS u
JOIN post_timings AS pt ON pt.user_id = u.id
JOIN topics t ON t.id = pt.topic_id
WHERE t.archetype = 'regular'
AND t.deleted_at IS NULL
GROUP BY pt.user_id
) AS X
WHERE X.user_id = user_stats.user_id
AND X.c <> posts_read_count
SQL
end
def self.update_distinct_badge_count(user_id = nil)
sql = <<~SQL
UPDATE user_stats
SET distinct_badge_count = x.distinct_badge_count
FROM (
SELECT users.id user_id, COUNT(distinct user_badges.badge_id) distinct_badge_count
FROM users
LEFT JOIN user_badges ON user_badges.user_id = users.id
AND (user_badges.badge_id IN (SELECT id FROM badges WHERE enabled))
GROUP BY users.id
) x
WHERE user_stats.user_id = x.user_id AND user_stats.distinct_badge_count <> x.distinct_badge_count
SQL
sql = sql + " AND user_stats.user_id = #{user_id.to_i}" if user_id
DB.exec sql
end
def update_distinct_badge_count
self.class.update_distinct_badge_count(self.user_id)
end
def self.update_draft_count(user_id = nil)
if user_id.present?
draft_count, has_topic_draft =
DB.query_single <<~SQL, user_id: user_id, new_topic: Draft::NEW_TOPIC
UPDATE user_stats
SET draft_count = (SELECT COUNT(*) FROM drafts WHERE user_id = :user_id)
WHERE user_id = :user_id
RETURNING draft_count, (SELECT 1 FROM drafts WHERE user_id = :user_id AND draft_key = :new_topic)
SQL
MessageBus.publish(
"/user-drafts/#{user_id}",
{ draft_count: draft_count, has_topic_draft: !!has_topic_draft },
user_ids: [user_id],
)
else
DB.exec <<~SQL
UPDATE user_stats
SET draft_count = new_user_stats.draft_count
FROM (SELECT user_stats.user_id, COUNT(drafts.id) draft_count
FROM user_stats
LEFT JOIN drafts ON user_stats.user_id = drafts.user_id
GROUP BY user_stats.user_id) new_user_stats
WHERE user_stats.user_id = new_user_stats.user_id
AND user_stats.draft_count <> new_user_stats.draft_count
SQL
end
end
# topic_reply_count is a count of posts in other users' topics
def calc_topic_reply_count!(start_time = nil)
sql = <<~SQL
SELECT COUNT(DISTINCT posts.topic_id) AS count
FROM posts
INNER JOIN topics ON topics.id = posts.topic_id
WHERE posts.user_id = ?
AND topics.user_id <> posts.user_id
AND posts.deleted_at IS NULL AND topics.deleted_at IS NULL
AND topics.archetype <> 'private_message'
#{start_time.nil? ? "" : "AND posts.created_at > ?"}
SQL
if start_time.nil?
DB.query_single(sql, self.user_id).first
else
DB.query_single(sql, self.user_id, start_time).first
end
end
def any_posts
user.posts.exists?
end
MAX_TIME_READ_DIFF = 100
# attempt to add total read time to user based on previous time this was called
def self.update_time_read!(id)
if last_seen = last_seen_cached(id)
diff = (Time.now.to_f - last_seen.to_f).round
if diff > 0 && diff < MAX_TIME_READ_DIFF
update_args = ["time_read = time_read + ?", diff]
UserStat.where(user_id: id).update_all(update_args)
UserVisit.where(user_id: id, visited_at: Time.zone.now.to_date).update_all(update_args)
end
end
cache_last_seen(id, Time.now.to_f)
end
def update_time_read!
UserStat.update_time_read!(id)
end
def reset_bounce_score!
update_columns(reset_bounce_score_after: nil, bounce_score: 0)
end
def self.last_seen_key(id)
# frozen
-"user-last-seen:#{id}"
end
def self.last_seen_cached(id)
Discourse.redis.get(last_seen_key(id))
end
def self.cache_last_seen(id, val)
Discourse.redis.setex(last_seen_key(id), MAX_TIME_READ_DIFF, val)
end
def update_pending_posts
update(pending_posts_count: user.pending_posts.count)
MessageBus.publish(
"/u/#{user.username_lower}/counters",
{ pending_posts_count: pending_posts_count },
user_ids: [user.id],
group_ids: [Group::AUTO_GROUPS[:staff]],
)
end
protected
def trigger_badges
BadgeGranter.queue_badge_grant(Badge::Trigger::UserChange, user: self.user)
end
end
# == Schema Information
#
# Table name: user_stats
#
# user_id :integer not null, primary key
# topics_entered :integer default(0), not null
# time_read :integer default(0), not null
# days_visited :integer default(0), not null
# posts_read_count :integer default(0), not null
# likes_given :integer default(0), not null
# likes_received :integer default(0), not null
# new_since :datetime not null
# read_faq :datetime
# first_post_created_at :datetime
# post_count :integer default(0), not null
# topic_count :integer default(0), not null
# bounce_score :float default(0.0), not null
# reset_bounce_score_after :datetime
2018-11-06 22:11:19 -05:00
# flags_agreed :integer default(0), not null
# flags_disagreed :integer default(0), not null
# flags_ignored :integer default(0), not null
2019-04-05 05:13:12 -04:00
# first_unread_at :datetime not null
# distinct_badge_count :integer default(0), not null
2020-10-27 14:12:33 -04:00
# first_unread_pm_at :datetime not null
# digest_attempted_at :datetime
# post_edits_count :integer
# draft_count :integer default(0), not null
# pending_posts_count :integer default(0), not null
#