PostgreSQL as a Schemaless Database.

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2250 1500 750 0 Disk Footprint in Megabytes Data Index Relational hstore hstore (GiST) hstore (GIN) XML JSON MongoDB
Observations. • GIN indexes are really big on disk. • PostgreSQL’s relational data storage is very efficient. • None of these records are TOAST-able. • MongoDB certain likes its disk space. • padding factor was 1, so it wasn’t that.
Page 1 and 2: PostgreSQL as a Schemaless Database
Page 3 and 4: What’s on the menu? • What is a
Page 5 and 6: Schematic. • A schema is a fixed
Page 7 and 8: We are not amused. • Culturally,
Page 9 and 10: What is schemaless data? • Schema
Page 11 and 12: XML It seemed like a good idea at t
Page 13 and 14: XML, your dad’s document language
Page 15 and 16: XML Support in PostgreSQL. • Buil
Page 17 and 18: hstore The hidden gem of contrib/
Page 19 and 20: hstore functions • Lots and lots
Page 21 and 22: JSON All the cool kids are doing it
Page 23 and 24: JSON, the new hotness • The de fa
Page 25 and 26: JSON Indexing. • Expression index
Page 27 and 28: PL/V8 ProTips • Use the static V8
Page 29 and 30: CREATE OR REPLACE FUNCTION get_json
Page 31 and 32: But but but… • PostgreSQL was n
Page 33 and 34: Schemaless Shootout! • A very bas
Page 35 and 36: Timing Harness. • Scripts written
Page 37 and 38: Indexing Philosophy • For relatio
Page 39 and 40: The Sophisticated Database Tuning P
Page 41 and 42: 6000 4500 3000 1500 0 Records/Secon
Page 43: Next Test: Disk Footprint. • Fina
Page 47 and 48: 400 300 200 100 0 Fetch Time in Mil
Page 51 and 52: Next Test: Query on Name • For a
Page 55 and 56: Observations. • GiST and GIN acce
Page 57 and 58: Some Conclusions. • PostgreSQL do
Page 59 and 60: Flame Bait! • MongoDB doesn’t s
Page 61: Thank you! thebuild.com @xof

PostgreSQL as a Schemaless Database.

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