hey folks
I have a simple query over a fairly simple query here, that scans for max date in a table that's fairly hudge (300M rows). there's index on that field that's being used, but for whatever reason, it takes ages. Ideas ?
select date_trunc('day', max(data)) into dt from staticstats where processed = false
explain analyze:
QUERY PLAN
---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Result (cost=3.89..3.90 rows=1 width=0) (actual time=2558459.883..2558459.884 rows=1 loops=1)
InitPlan
-> Limit (cost=0.00..3.89 rows=1 width=8) (actual time=2558362.751..2558362.753 rows=1 loops=1)
-> Index Scan Backward using sstats_date_idx on staticstats (cost=0.00..1566198296.88 rows=402561795 width=8) (actual time=2558362.747..2558362.747 rows=1 loops=1)
Filter: ((data IS NOT NULL) AND (NOT processed))
Total runtime: 2558540.800 ms
(6 rows)
Time: 2558545.012 ms
one thing I am amazed by, is the filter data is not null, well - take a look at the schema here:
staty=> \d+ staticstats
Table "public.staticstats"
Column | Type | Modifiers | Description
-----------+--------------------------------+------------------------------------------------------+-------------
data | timestamp(0) without time zone | not null |
size | integer | not null default 0 |
proto | integer | not null |
macfrom | integer | not null |
macto | integer | not null |
processed | boolean | not null default false |
id | bigint | not null default nextval('sstatic_id_seq'::regclass) |
Indexes:
"blah123s" PRIMARY KEY, btree (macto, data, proto, macfrom)
"sstats_id_idx" UNIQUE, btree (id)
"sstats_date_idx" btree (data)
"staticstat_processed_idxs" btree (processed)
Foreign-key constraints:
"staty_fk1s" FOREIGN KEY (macfrom) REFERENCES macs(id)
"staty_fks" FOREIGN KEY (macto) REFERENCES macs(id)
Has OIDs: no
it takes ms if there's somethign that's been recently added to that table. The table itself is vacuumed/analyzed quite often, and more or less clustered by sstats_date_idx - althrough in that instance, I wasn't able to recluster it - because there's not enough disc space (only 45GB free, and for whatever reason - even tho the table is only about 25GB in size - postgresql requires more than 40GB of space to recluster it).
any hints please ?
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