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Optimize FixReblogsInFeeds migration (#5538)

We have changed how we store reblogs in the redis for bigint IDs. This process is done by 1) scan all entries in users feed, and 2) re-store reblogs by 3 write commands.

However, this operation is really slow for large instances. e.g. 1hrs on friends.nico (w/ 50k users). So I have tried below tweaks.

* It checked non-reblogs by `entry[0] == entry[1]`, but this condition won't work because `entry[0]` is String while `entry[1]` is Float. Changing `entry[0].to_i == entry[1]` seems work.
  -> about 4-20x faster (feed with less reblogs will be faster)
* Write operations can be batched by pipeline
  -> about 6x faster
* Wrap operation by Lua script and execute by EVALSHA command. This really reduces packets between Ruby and Redis.
  -> about 3x faster

I've taken Lua script way, though doing other optimizations may be enough.
This commit is contained in:
unarist 2017-10-27 23:10:22 +09:00 committed by Eugen Rochko
parent 22da775a85
commit 0129f5eada

View file

@ -3,48 +3,62 @@ class FixReblogsInFeeds < ActiveRecord::Migration[5.1]
redis = Redis.current
fm = FeedManager.instance
# Old scheme:
# Each user's feed zset had a series of score:value entries,
# where "regular" statuses had the same score and value (their
# ID). Reblogs had a score of the reblogging status' ID, and a
# value of the reblogged status' ID.
# New scheme:
# The feed contains only entries with the same score and value.
# Reblogs result in the reblogging status being added to the
# feed, with an entry in a reblog tracking zset (where the score
# is once again set to the reblogging status' ID, and the value
# is set to the reblogged status' ID). This is safe for Redis'
# float coersion because in this reblog tracking zset, we only
# need the rebloggging status' ID to be able to stop tracking
# entries after they have gotten too far down the feed, which
# does not require an exact value.
# This process reads all feeds and writes 3 times for each reblogs.
# So we use Lua script to avoid overhead between Ruby and Redis.
script = <<-LUA
local timeline_key = KEYS[1]
local reblog_key = KEYS[2]
-- So, first, we iterate over the user's feed to find any reblogs.
local items = redis.call('zrange', timeline_key, 0, -1, 'withscores')
for i = 1, #items, 2 do
local reblogged_id = items[i]
local reblogging_id = items[i + 1]
if (reblogged_id ~= reblogging_id) then
-- The score and value don't match, so this is a reblog.
-- (note that we're transitioning from IDs < 53 bits so we
-- don't have to worry about the loss of precision)
-- Remove the old entry
redis.call('zrem', timeline_key, reblogged_id)
-- Add a new one for the reblogging status
redis.call('zadd', timeline_key, reblogging_id, reblogging_id)
-- Track the fact that this was a reblog
redis.call('zadd', reblog_key, reblogging_id, reblogged_id)
end
end
LUA
script_hash = redis.script(:load, script)
# find_each is batched on the database side.
User.includes(:account).find_each do |user|
account = user.account
# Old scheme:
# Each user's feed zset had a series of score:value entries,
# where "regular" statuses had the same score and value (their
# ID). Reblogs had a score of the reblogging status' ID, and a
# value of the reblogged status' ID.
# New scheme:
# The feed contains only entries with the same score and value.
# Reblogs result in the reblogging status being added to the
# feed, with an entry in a reblog tracking zset (where the score
# is once again set to the reblogging status' ID, and the value
# is set to the reblogged status' ID). This is safe for Redis'
# float coersion because in this reblog tracking zset, we only
# need the rebloggging status' ID to be able to stop tracking
# entries after they have gotten too far down the feed, which
# does not require an exact value.
# So, first, we iterate over the user's feed to find any reblogs.
timeline_key = fm.key(:home, account.id)
reblog_key = fm.key(:home, account.id, 'reblogs')
redis.zrange(timeline_key, 0, -1, with_scores: true).each do |entry|
next if entry[0] == entry[1]
# The score and value don't match, so this is a reblog.
# (note that we're transitioning from IDs < 53 bits so we
# don't have to worry about the loss of precision)
reblogged_id, reblogging_id = entry
# Remove the old entry
redis.zrem(timeline_key, reblogged_id)
# Add a new one for the reblogging status
redis.zadd(timeline_key, reblogging_id, reblogging_id)
# Track the fact that this was a reblog
redis.zadd(reblog_key, reblogging_id, reblogged_id)
end
redis.evalsha(script_hash, [timeline_key, reblog_key])
end
end