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Retroactive Analytics With
Distributed PostgreSQL
Dan Robinson
Heap
● Heap: web/iOS analytics that
captures everything
● Heap: web/iOS analytics that
captures everything
● Making this interactive is hard!
app_id user_id properties HSTORE events HSTORE[]
12345 102756 email=>’coolguy@mail.com’, ab_test_grp=>’A’ ...
12345 300732 ab_test_grp=>’B’ ...
67890 628537 ...
49964 368868 utm_campaign=>’social’ ...
app_id user_id properties HSTORE events HSTORE[]
12345 102756 email=>’coolguy@mail.com’,
ab_test_grp=>’A’
...
12345 300732 ab_test_grp=>’B’ ...
67890 628537 ...
49964 368868 utm_campaign=>’social’ ...
app_id user_i
d
properties HSTORE events HSTORE[]
75632 257186 ... ...
75632 120554 ... ...
app_id user_i
d
properties
HSTORE
events HSTORE[]
…
…
users_001
users_002
users
app_id user_id properties HSTORE events HSTORE[]
12345 102756 email=>’coolguy@mail.com’,
ab_test_grp=>’A’
...
12345 300732 ab_test_grp=>’B’ ...
67890 628537 ...
49964 368868 utm_campaign=>’social’ ...
…
…
users_001
users_002
users
app_id user_i
d
properties HSTORE events HSTORE[]
75632 257186 ... ...
75632 120554 ... ...
SELECT COUNT(*)
FROM users
WHERE app_id = 12345
GROUP BY events[1]->'path'
users_001
users
SELECT COUNT(*)
FROM users
WHERE app_id = 12345
GROUP BY events[1]->'path'
SELECT COUNT(*)
FROM users_001
WHERE app_id = 12345
GROUP BY events[1]->'path'
● Denormalized → fast, no joins.
● Subqueries are just postgres.
● Add UDFs for more expressiveness.
funnel_events(events hstore[], pattern_array text[]) RETURNS int[]
-- Returns an array with 1s corresponding to steps completed
-- in the funnel, 0s in the other positions
funnel_events(events hstore[], pattern_array text[]) RETURNS int[]
-- Returns an array with 1s corresponding to steps completed
-- in the funnel, 0s in the other positions
SELECT sum(
funnel_events(
events,
ARRAY['"path"=>"/","object"=>"pageview"',
'"type"=>"submit","hierarchy"=>like "%@form;#signup;%"']
)
) AS "funnel_results"
FROM users
WHERE app_id = 12345
● Denormalized schema. (No joins.)
● CitusDB to distribute queries.
● Express any analysis with UDFs.
Questions?

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SFPUG Lightning Talk

  • 1. Retroactive Analytics With Distributed PostgreSQL Dan Robinson Heap
  • 2. ● Heap: web/iOS analytics that captures everything
  • 3.
  • 4.
  • 5.
  • 6.
  • 7. ● Heap: web/iOS analytics that captures everything ● Making this interactive is hard!
  • 8. app_id user_id properties HSTORE events HSTORE[] 12345 102756 email=>’coolguy@mail.com’, ab_test_grp=>’A’ ... 12345 300732 ab_test_grp=>’B’ ... 67890 628537 ... 49964 368868 utm_campaign=>’social’ ...
  • 9. app_id user_id properties HSTORE events HSTORE[] 12345 102756 email=>’coolguy@mail.com’, ab_test_grp=>’A’ ... 12345 300732 ab_test_grp=>’B’ ... 67890 628537 ... 49964 368868 utm_campaign=>’social’ ... app_id user_i d properties HSTORE events HSTORE[] 75632 257186 ... ... 75632 120554 ... ... app_id user_i d properties HSTORE events HSTORE[] … … users_001 users_002 users
  • 10. app_id user_id properties HSTORE events HSTORE[] 12345 102756 email=>’coolguy@mail.com’, ab_test_grp=>’A’ ... 12345 300732 ab_test_grp=>’B’ ... 67890 628537 ... 49964 368868 utm_campaign=>’social’ ... … … users_001 users_002 users app_id user_i d properties HSTORE events HSTORE[] 75632 257186 ... ... 75632 120554 ... ... SELECT COUNT(*) FROM users WHERE app_id = 12345 GROUP BY events[1]->'path'
  • 11. users_001 users SELECT COUNT(*) FROM users WHERE app_id = 12345 GROUP BY events[1]->'path' SELECT COUNT(*) FROM users_001 WHERE app_id = 12345 GROUP BY events[1]->'path'
  • 12. ● Denormalized → fast, no joins. ● Subqueries are just postgres. ● Add UDFs for more expressiveness.
  • 13. funnel_events(events hstore[], pattern_array text[]) RETURNS int[] -- Returns an array with 1s corresponding to steps completed -- in the funnel, 0s in the other positions
  • 14. funnel_events(events hstore[], pattern_array text[]) RETURNS int[] -- Returns an array with 1s corresponding to steps completed -- in the funnel, 0s in the other positions SELECT sum( funnel_events( events, ARRAY['"path"=>"/","object"=>"pageview"', '"type"=>"submit","hierarchy"=>like "%@form;#signup;%"'] ) ) AS "funnel_results" FROM users WHERE app_id = 12345
  • 15. ● Denormalized schema. (No joins.) ● CitusDB to distribute queries. ● Express any analysis with UDFs.