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Wait what? Postgresql
can do that!
http://bit.ly/ato19crunchy
Steven Pousty
CrunchyData
@TheSteve0
Agenda
Focus is DEMOS!
We will do a few slides and then it’s all show and tell (sorry no milk and cookies)
1. JSON(B)
2. Full Text Search
3. Spatial in the database
4. R in PostgreSQL (PL/R) (demo only) or containers or Functions
Rules
1. Ask Questions
2. Have Fun!
THE Main Point
PostgreSQL is
the 80% in the
80/20 rule
Always start with PostgreSQL then, if
and when you need more, look to other
solutions.
- Mark Twain
Working Environment
https://learn.crunchydata.com
Each environment lasts an hour
Today using PostgreSQL 11
JSON(B)
1. Don’t bother with JSON - which is just basically a text field - go with JSONB
2. Don’t bother with HSTORE - key/value pairs is just a single level JSON
3. With PostgreSQL 12 we now have the SQL spec for JSONPath
4. You DON’T need Mongo
https://www.postgresql.org/docs/11/datatype-json.html
https://www.postgresql.org/docs/11/functions-json.html
Free-text search
1. We are not talking about ngrams or LIKE/ILIKE
2. This is a full text engine like Lucene
3. Documentation is rough on this one
https://www.postgresql.org/docs/11/textsearch.html
https://www.postgresql.eu/events/pgconfeu2018/sessions/session/2116/slides/1
37/pgconf.eu-2018-fts.pdf
You will need this debugging section -
https://www.postgresql.org/docs/11/textsearch-debugging.html
PostGIS
1. Spatial Data and operations natively in the database
2. The Gold standard for geospatial
3. Much much more than closest starbuck
https://postgis.net/
R in PostgreSQL
1. R is huge (and beautiful) language for statistics and data analysis - it’s a whole
other programming language to learn
2. Same as any other language extension, like PL/Python or PL/Java
3. Clear Boundaries - Infinite Possibilities
https://github.com/postgres-plr/plr
Big Take Homes
1. This is fun
2. This is powerful
3. We just scratched the surface
4. You can mix and match any of the things we work with
START WITH
POSTGRESQL
Fin
http://bit.ly/ato19crunchy
Steven Pousty
CrunchyData
@TheSteve0

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Wait what? Postgresql can do that?

  • 1. Wait what? Postgresql can do that! http://bit.ly/ato19crunchy Steven Pousty CrunchyData @TheSteve0
  • 2. Agenda Focus is DEMOS! We will do a few slides and then it’s all show and tell (sorry no milk and cookies) 1. JSON(B) 2. Full Text Search 3. Spatial in the database 4. R in PostgreSQL (PL/R) (demo only) or containers or Functions
  • 5. PostgreSQL is the 80% in the 80/20 rule
  • 6. Always start with PostgreSQL then, if and when you need more, look to other solutions. - Mark Twain
  • 8. JSON(B) 1. Don’t bother with JSON - which is just basically a text field - go with JSONB 2. Don’t bother with HSTORE - key/value pairs is just a single level JSON 3. With PostgreSQL 12 we now have the SQL spec for JSONPath 4. You DON’T need Mongo https://www.postgresql.org/docs/11/datatype-json.html https://www.postgresql.org/docs/11/functions-json.html
  • 9. Free-text search 1. We are not talking about ngrams or LIKE/ILIKE 2. This is a full text engine like Lucene 3. Documentation is rough on this one https://www.postgresql.org/docs/11/textsearch.html https://www.postgresql.eu/events/pgconfeu2018/sessions/session/2116/slides/1 37/pgconf.eu-2018-fts.pdf You will need this debugging section - https://www.postgresql.org/docs/11/textsearch-debugging.html
  • 10. PostGIS 1. Spatial Data and operations natively in the database 2. The Gold standard for geospatial 3. Much much more than closest starbuck https://postgis.net/
  • 11. R in PostgreSQL 1. R is huge (and beautiful) language for statistics and data analysis - it’s a whole other programming language to learn 2. Same as any other language extension, like PL/Python or PL/Java 3. Clear Boundaries - Infinite Possibilities https://github.com/postgres-plr/plr
  • 12. Big Take Homes 1. This is fun 2. This is powerful 3. We just scratched the surface 4. You can mix and match any of the things we work with