Merlin Moncure wrote:
hmm, try pushing the union into a subquery...this is better style
because it's kind of ambiguous if the ordering will apply before/after
the union.

Seems to be a little slower. There's a new "subquery scan" step.

    explain analyze
    select    q.when_happened from (
    select    when_stopped as when_happened,
              1 as order_hint
    from      transaction t
    where     '2005-10-25 15:00:00' <= when_stopped
      and     when_stopped <= '2005-10-26 10:00:00'
    union all
    select    when_stopped as when_happened,
              2 as order_hint
    from      transaction t
    where     '2005-10-25 15:00:00' <= when_stopped
      and     when_stopped <= '2005-10-26 10:00:00'
    ) q order by  when_happened, order_hint;


QUERY PLAN
---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Sort (cost=713013.96..721751.25 rows=3494916 width=12) (actual time=34392.264..37237.148 rows=3364006 loops=1)
   Sort Key: when_happened, order_hint
-> Subquery Scan q (cost=0.00..229474.11 rows=3494916 width=12) (actual time=0.194..20283.452 rows=3364006 loops=1) -> Append (cost=0.00..194524.95 rows=3494916 width=8) (actual time=0.191..14967.632 rows=3364006 loops=1) -> Subquery Scan "*SELECT* 1" (cost=0.00..97262.48 rows=1747458 width=8) (actual time=0.189..5535.139 rows=1682003 loops=1) -> Index Scan using transaction_stopped on "transaction" t (cost=0.00..79787.90 rows=1747458 width=8) (actual time=0.186..3097.268 rows=1682003 loops=1) Index Cond: (('2005-10-25 15:00:00'::timestamp without time zone <= when_stopped) AND (when_stopped <= '2005-10-26 10:00:00'::timestamp without time zone)) -> Subquery Scan "*SELECT* 2" (cost=0.00..97262.48 rows=1747458 width=8) (actual time=0.173..5625.155 rows=1682003 loops=1) -> Index Scan using transaction_stopped on "transaction" t (cost=0.00..79787.90 rows=1747458 width=8) (actual time=0.169..3146.714 rows=1682003 loops=1) Index Cond: (('2005-10-25 15:00:00'::timestamp without time zone <= when_stopped) AND (when_stopped <= '2005-10-26 10:00:00'::timestamp without time zone))
 Total runtime: 39775.225 ms
(11 rows)

question: why do you want to flatten the table...is it not easier to
work with as records?

For most things, yes. But I'm making a bunch of different graphs from these data, and a few of them are much easier with events. The best example is my concurrency graph. Whenever there's a start event, it goes up one. Whenever there's a stop event, it goes down one. It's completely trivial once you have it separated into events.

Thanks,
Scott

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