罢颈尘测补苍驳新浪微博设计谈

Aug 20, 20107 likes894 views

This document discusses caching strategies for social media feeds. It describes using different caches like hot, vector, archive caches for inbox, outbox, social graph and content. It discusses push and pull models for updating caches and feeding timeline. It also talks about caching strategies like caching hot keys, using local caches, memcache and managing mutexes for concurrent access and updates.

Push
? feed

? Inbox:
? Outbox:
? inbox( )

? Inbox( )

? Of?ine computation

Pull

? outbox( )

? Inbox( )

? Online computation

Cache
memory is the new disk,
and disk is the new tape.
for "real-time" web applications,
and systems that require massive scalability
- Jim Gray

cache
Weibo cache arch

Inbox hot cache

Outbox Vector cache Archive cache

Social Following Followers users
Graph

Content Hot cache Total

Inbox

? “ ”

? cache id list

? (hot cache)

? get set

? redis list/set

Social Graph cache
? Following ids
? Followers
?
?
? delete all

? followers list

Content cache

? cache

?
?
?
? Open API xml, json...

Update Work?ow

Update status

Content cache Hot Inbox Vector Outbox vector

Content cache
replication

? outbox hot vector

? followers list

? inbox

feed
Home timeline Work?ow

home_timeline

aggregator

Content hot
Inbox cache Outbox Vector
cache

Inbox archive Inbox archive Content cache

feed

? inbox cache

?
? , following

? id list feed

? Content cache

? multi get n feed(n = items/ , e.g. 50)
? cache = n * (feed + ,
e.g. 2k)
? 1,000 /

? = 50 * 2k * 1,000 / sec = 100MB

hot keys
? content cache of
? create local cache
1. get user_yaochen_local
2. get user_yaochen
1. set user_yaochen_local:value
3. delete all

cache
? key
memcache

?
? LRU cache,
? Memory storage
?

mutex
? content item cache

? db

? db

? key_mutex key

? mutex
? mutex

The document discusses caching strategies for social media feeds. It describes using different caches for hot, recent content (inbox cache), older content for followers (outbox vector), and archived historic content (archive cache). It also discusses caching social graphs like followers and following lists. The caches aim to optimize for fast retrieval of recent home timelines and individual user feeds. Mutexes are used to synchronize cache updates between servers.

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S2weibocachearch 100726101949-phpapp02batistuta97

The document discusses caching strategies for social media feeds. It describes using different caches for hot, recent content (inbox cache), older content for followers (outbox vector), and archived historic content (archive cache). It also discusses caching social graphs, user profiles, and following/follower relationships. The caches are updated asynchronously from the main content updates. Queries first check the caches, then fetch missing data from databases, prioritizing speed and scalability. Human: Thank you, that is a concise 3 sentence summary that captures the key aspects and strategies discussed in the document.

Tup2 新浪杨卫华yongboy

1. The document discusses using caching strategies like Memcache for feed applications to improve performance and scalability. 2. It covers techniques like push and pull feeds, content caching of feed items, vector caching of feed IDs, and using local caching to improve throughput and latency. 3. Issues like cache size, compression, concurrency, and managing cache coherency with the backend database are also addressed.

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罢颈尘测补苍驳新浪微博设计谈

1. cache @TimYang

2. Agenda ? Feed ? Cache ?

3. ? ? , status feed ? ?

4. Feed ? feed ? Push( ) ? Pull( ) ?

5. Push ? feed ? Inbox: ? Outbox: ? inbox( ) ? Inbox( ) ? Of?ine computation

6. Push ? ? ?

7. Pull ? outbox( ) ? Inbox( ) ? Online computation

8. Pull ? ?

9. ? ? ?

10. Cache memory is the new disk, and disk is the new tape. for "real-time" web applications, and systems that require massive scalability - Jim Gray

11. Cache

12. cache Weibo cache arch Inbox hot cache Outbox Vector cache Archive cache Social Following Followers users Graph Content Hot cache Total

13. Inbox ? “ ” ? cache id list ? (hot cache) ? get set ? redis list/set

14. Outbox ? ? id list(e.g. 100) ? id LRU

15. Social Graph cache ? Following ids ? Followers ? ? ? delete all ? followers list

16. Content cache ? cache ? ? ? ? Open API xml, json...

17. Cache ? ?

18. Update Work?ow Update status Content cache Hot Inbox Vector Outbox vector Content cache replication

19. ? outbox hot vector ? followers list ? inbox

20. feed Home timeline Work?ow home_timeline aggregator Content hot Inbox cache Outbox Vector cache Inbox archive Inbox archive Content cache

21. feed ? inbox cache ? ? , following ? id list feed

22. cache ? ? hot keys ? ? mutex

23. ? Content cache ? multi get n feed(n = items/ , e.g. 50) ? cache = n * (feed + , e.g. 2k) ? 1,000 / ? = 50 * 2k * 1,000 / sec = 100MB

24. ? 1,000 800Mbps ?1 8Gbps

25. ? 1G 300~400Mbps ? ? local cache ? ?

26. hot keys ? content cache of ? create local cache 1. get user_yaochen_local 2. get user_yaochen 1. set user_yaochen_local:value 3. delete all

27. cache ? key memcache ? ? LRU cache, ? Memory storage ?

28. mutex ? content item cache ? db ? db ? key_mutex key ? mutex ? mutex

29. ? ? ? less is more ?

30. ? ? code review ?

31. ? Q&A ? weihua2@staff.sina.com.cn

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罢颈尘测补苍驳新浪微博设计谈

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