Quickly figure out the MAX of the LOWER-bound of a TSTZRANGE column










0















On Postgres 9.6 is there a way to optimize the following query on a TSTZRANGE col?



SELECT MAX(LOWER(date_range)) FROM tbl;


which takes ~5 seconds on a 26M rows table.



I've tried adding an expression index:



CREATE INDEX tbl_expr_idx ON tbl((LOWER(date_range)) timestamptz_ops);


But that does not seem to get used:



Aggregate (cost=775505.00..775505.01 rows=1 width=8)
-> Seq Scan on tbl (cost=0.00..644984.00 rows=26104200 width=22)









share|improve this question






















  • Do you have an index on date_range? If yes you could try: select lower(date_range) from tbl order by date_range desc limit 1 - not sure how that works out with overlapping ranges though

    – a_horse_with_no_name
    Nov 13 '18 at 11:27












  • @a_horse_with_no_name — yup, a GIST one. That does also result in a sequential scan of the table, however.

    – salient
    Nov 13 '18 at 11:39











  • I find that hard to believe. What if you SET enable_seqscan = off before the query? Can you come up with a complete reproducible test case?

    – Laurenz Albe
    Nov 13 '18 at 11:43











  • With a regular btree Index Postgres uses an "Index Scan Backwards" for me: explain.depesz.com/s/89kC (5 million rows)

    – a_horse_with_no_name
    Nov 13 '18 at 11:46











  • Hm. When I run with SET enable_seqscan = off it uses another composite index that consists of two other columns — which ends up slower.

    – salient
    Nov 13 '18 at 11:48















0















On Postgres 9.6 is there a way to optimize the following query on a TSTZRANGE col?



SELECT MAX(LOWER(date_range)) FROM tbl;


which takes ~5 seconds on a 26M rows table.



I've tried adding an expression index:



CREATE INDEX tbl_expr_idx ON tbl((LOWER(date_range)) timestamptz_ops);


But that does not seem to get used:



Aggregate (cost=775505.00..775505.01 rows=1 width=8)
-> Seq Scan on tbl (cost=0.00..644984.00 rows=26104200 width=22)









share|improve this question






















  • Do you have an index on date_range? If yes you could try: select lower(date_range) from tbl order by date_range desc limit 1 - not sure how that works out with overlapping ranges though

    – a_horse_with_no_name
    Nov 13 '18 at 11:27












  • @a_horse_with_no_name — yup, a GIST one. That does also result in a sequential scan of the table, however.

    – salient
    Nov 13 '18 at 11:39











  • I find that hard to believe. What if you SET enable_seqscan = off before the query? Can you come up with a complete reproducible test case?

    – Laurenz Albe
    Nov 13 '18 at 11:43











  • With a regular btree Index Postgres uses an "Index Scan Backwards" for me: explain.depesz.com/s/89kC (5 million rows)

    – a_horse_with_no_name
    Nov 13 '18 at 11:46











  • Hm. When I run with SET enable_seqscan = off it uses another composite index that consists of two other columns — which ends up slower.

    – salient
    Nov 13 '18 at 11:48













0












0








0








On Postgres 9.6 is there a way to optimize the following query on a TSTZRANGE col?



SELECT MAX(LOWER(date_range)) FROM tbl;


which takes ~5 seconds on a 26M rows table.



I've tried adding an expression index:



CREATE INDEX tbl_expr_idx ON tbl((LOWER(date_range)) timestamptz_ops);


But that does not seem to get used:



Aggregate (cost=775505.00..775505.01 rows=1 width=8)
-> Seq Scan on tbl (cost=0.00..644984.00 rows=26104200 width=22)









share|improve this question














On Postgres 9.6 is there a way to optimize the following query on a TSTZRANGE col?



SELECT MAX(LOWER(date_range)) FROM tbl;


which takes ~5 seconds on a 26M rows table.



I've tried adding an expression index:



CREATE INDEX tbl_expr_idx ON tbl((LOWER(date_range)) timestamptz_ops);


But that does not seem to get used:



Aggregate (cost=775505.00..775505.01 rows=1 width=8)
-> Seq Scan on tbl (cost=0.00..644984.00 rows=26104200 width=22)






postgresql






share|improve this question













share|improve this question











share|improve this question




share|improve this question










asked Nov 13 '18 at 11:20









salientsalient

774721




774721












  • Do you have an index on date_range? If yes you could try: select lower(date_range) from tbl order by date_range desc limit 1 - not sure how that works out with overlapping ranges though

    – a_horse_with_no_name
    Nov 13 '18 at 11:27












  • @a_horse_with_no_name — yup, a GIST one. That does also result in a sequential scan of the table, however.

    – salient
    Nov 13 '18 at 11:39











  • I find that hard to believe. What if you SET enable_seqscan = off before the query? Can you come up with a complete reproducible test case?

    – Laurenz Albe
    Nov 13 '18 at 11:43











  • With a regular btree Index Postgres uses an "Index Scan Backwards" for me: explain.depesz.com/s/89kC (5 million rows)

    – a_horse_with_no_name
    Nov 13 '18 at 11:46











  • Hm. When I run with SET enable_seqscan = off it uses another composite index that consists of two other columns — which ends up slower.

    – salient
    Nov 13 '18 at 11:48

















  • Do you have an index on date_range? If yes you could try: select lower(date_range) from tbl order by date_range desc limit 1 - not sure how that works out with overlapping ranges though

    – a_horse_with_no_name
    Nov 13 '18 at 11:27












  • @a_horse_with_no_name — yup, a GIST one. That does also result in a sequential scan of the table, however.

    – salient
    Nov 13 '18 at 11:39











  • I find that hard to believe. What if you SET enable_seqscan = off before the query? Can you come up with a complete reproducible test case?

    – Laurenz Albe
    Nov 13 '18 at 11:43











  • With a regular btree Index Postgres uses an "Index Scan Backwards" for me: explain.depesz.com/s/89kC (5 million rows)

    – a_horse_with_no_name
    Nov 13 '18 at 11:46











  • Hm. When I run with SET enable_seqscan = off it uses another composite index that consists of two other columns — which ends up slower.

    – salient
    Nov 13 '18 at 11:48
















Do you have an index on date_range? If yes you could try: select lower(date_range) from tbl order by date_range desc limit 1 - not sure how that works out with overlapping ranges though

– a_horse_with_no_name
Nov 13 '18 at 11:27






Do you have an index on date_range? If yes you could try: select lower(date_range) from tbl order by date_range desc limit 1 - not sure how that works out with overlapping ranges though

– a_horse_with_no_name
Nov 13 '18 at 11:27














@a_horse_with_no_name — yup, a GIST one. That does also result in a sequential scan of the table, however.

– salient
Nov 13 '18 at 11:39





@a_horse_with_no_name — yup, a GIST one. That does also result in a sequential scan of the table, however.

– salient
Nov 13 '18 at 11:39













I find that hard to believe. What if you SET enable_seqscan = off before the query? Can you come up with a complete reproducible test case?

– Laurenz Albe
Nov 13 '18 at 11:43





I find that hard to believe. What if you SET enable_seqscan = off before the query? Can you come up with a complete reproducible test case?

– Laurenz Albe
Nov 13 '18 at 11:43













With a regular btree Index Postgres uses an "Index Scan Backwards" for me: explain.depesz.com/s/89kC (5 million rows)

– a_horse_with_no_name
Nov 13 '18 at 11:46





With a regular btree Index Postgres uses an "Index Scan Backwards" for me: explain.depesz.com/s/89kC (5 million rows)

– a_horse_with_no_name
Nov 13 '18 at 11:46













Hm. When I run with SET enable_seqscan = off it uses another composite index that consists of two other columns — which ends up slower.

– salient
Nov 13 '18 at 11:48





Hm. When I run with SET enable_seqscan = off it uses another composite index that consists of two other columns — which ends up slower.

– salient
Nov 13 '18 at 11:48












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