On mið, 2006-12-13 at 11:51 +0100, Arnaud Lesauvage wrote:
> Hi list !
> I am running a query to update the boolean field of a table based on
> another table's fields.
> The query is (changed names for readability):
> UPDATE t1
> SET booleanfield = (t2.field1 IN ('some', 'other') AND t2.field2 = 'Y')
> FROM t2
> WHERE t1.uid = t2.uid
> t2.uid is the PRIMARY KEY.
> t2 only has ~1000 rows, so I think it fits fully in memory.
> t1 as ~2.000.000 rows.
> There is an index on t1.uid also.
> The explain (sorry, not explain analyze available yet) is :
> Hash Join (cost=112.75..307410.10 rows=2019448 width=357)
> Hash Cond: ("outer".uid= "inner".uid)
> -> Seq Scan on t1 (cost=0.00..261792.01 rows=2033001 width=340)
> -> Hash (cost=110.20..110.20 rows=1020 width=53)
> -> Seq Scan on t2 (cost=0.00..110.20 rows=1020 width=53)
> My query has been running for more than 1.5 hour now, and it is still running.
> Nothing else is running on the server.
> There are two multicolumn-indexes on this column (both are 3-columns indexes). One of them has a
> functional column (date_trunc('month', datefield)).
> Do you think the problem is with the indexes ?
I guess so. are you sure about the index on t1.uid?
what are the column definitions for t1.uid and t2.uid ?
are they the same ?
you should ba able to get a plan similar to:
Merge Join (cost=0.00..43.56 rows=1000 width=11)
Merge Cond: ("outer".uid = "inner".uid)
-> Index Scan using t1i on t1 (cost=0.00..38298.39 rows=2000035
-> Index Scan using t2i on t2 (cost=0.00..26.73 rows=1000 width=5)
what postgres version are you using ?
> The hardware is not great, but the database is on a RAID1 array, so its not bad either.
> I am surprised that it takes more than 3 seconds per row to be updated.
> Thanks for your opinion on this !
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