NoSQL solutions
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MongoDB and Redis are popular NoSQL alternatives to SQL databases. MongoDB is a document-oriented database that does not require a predefined schema and allows embedding documents. It supports features like sharding, replication, and indexing. Redis is an in-memory key-value store that persists data to disk. It supports data structures like strings, hashes, lists and sets. Both databases are commonly used for caching, queues, and other use cases where flexibility and performance are important.
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- 2. Then...
- 3. ...and now *This thing weighs less than 50g
- 4. Meaning of NoSQL 1970 = We have no SQL 1980 = Know SQL 2000 = No SQL! 2005 = Not only SQL 2014 = No, SQL (slide adapted from @markmadsen)
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- 8. Characteristics - continued ● Primary and Secondary Indexes ● JavaScript for UDF ● MapReduce ● Capped Collections ● Aggregation Framework since 2.2 ● Ad-hoc Query Support
- 9. Caveats
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- 11. Generic performance tips ● Write-Concerns ● Shard early ● Fixed (or at least bounded) record size => better write performance ● Use short attribute names (reduces index & data size, OFC!) ● EXT4 or XFS
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- 13. Use Cases ● Logs ● Location Data (Mongo has built in Geospatial ops) ● Account and User Profiles ● Messaging ● (complex) Config Data ● http://www.mongodb.com/who-uses-mongodb (hint: Expedia, Business Insider, The Weather Channel, Foursquare, eBay)
- 14. Redis
- 15. Redis ● Salvatore Sanfilippo (@antirez) ● Started in 2009 ● Key-Value Store ● 11th most used DBMS & most used KV Store* (next KVS memcached - 19th) ● Sponsored by Pivotal (spinoff EMC/VMware) * According to db-engines.com as of Oct 2014
- 16. Characteristics ● Holds all data in memory, persists on disk ● Data Models ○ Strings/Blobs/Bit-Maps (not really Bitmaps) ○ Hashtables ○ Linked Lists ○ Sets ○ Sorted Sets ● HyperLogLog (+2.8.9 - trade accuracy for memory) ● Master Slave Replication ● High Availability (through Sentinel)
- 17. Characteristics - continued ● Redis Cluster in works (not production ready yet) - sharding ○ asynchronous replication ○ does not guarantee strong consistency (may ‘forget’ writes) ● AOF sync - default 2s ● Does not support secondary indexes ● Pub/Sub mode since 2.0 ● Key expiry ● Server scripting with Lua
- 18. IRL ● virtualized server 4G RAM, 1vCPU ● +50k get/set per second (redis-benchmark) ● only 128 queries out of 1165550375 over 10ms (0.00001%) ○ uptime_in_days:439 ○ used_memory_human:424.09M ○ used_memory_peak_human:834.94M ○ total_connections_received:1352935 ○ db0:keys=610884,expires=355397
- 19. Generic performance tips ● Use short key names (reduces data size, OFC!) ● You can create secondary indexes (but you have to maintain them, e.g. using SET) ● You can have ad-hoc queries (actually is query) : using SORT
- 20. Use Cases ● Cache ● IPSS/IPC ● Queue mechanisms (see e.g. Resque) ● Log/Task buffers ● Statistics and aggregation datastore ● (anywhere you use memcached) ● http://redis.io/topics/whos-using-redis (hint: Twitter, GitHub, Snapchat, StackOverflow a.o.)
- 21. Recap One size does NOT fit all!
- 22. Further reading ● Must read: http://blog.andreamostosi.name/big- data/ (almost exhaustive list of all things NoSQL and BigData)