Hi Matthew,
thank you for query response.
There is no particular reason for using GIST instead of GIN. We only recently discovered pg_trgm so we are new to this. What I read is that GIN can be faster then GIST but it really depends on query and on amount of data. Nevertheless, both index are by magnitude order slower then btree index, right? I tried simple query on our production server (explain analyze select * from navdata.point where identifier like 'LOWW') where I am 100% sure there is SSD and we have random_page_cost = 1, and query itself takes 43 ms. That is not much of the difference compared to test server.
What interest me, is whenever PG is aware of different costs for different index types. Given that there is also index on guid which is used on relationship, in our case it is always better to use that index and filter, then to use both indexes and BitmapAnd.
Regarding test server, I believe that it is a SSD, but I will get confirmation for this. I tried changing random_page_cost on test server from 2.0 to 1.0 (that should be right value for SSD, right?) and also to 4.0 and I get same results.
Regards
Sasa Vilic
On 20 June 2018 at 15:29, Matthew Hall <mhall@xxxxxxxxxxxxxxx> wrote:
Is there a reason you used GIST on your pg_trgm indices and not GIN? In my tests and previous posts on here, it nearly always performs worse. Also, did you make sure if it's really SSD and set the random_page_cost accordingly?Matthew HallHi everyone,
we have a new query that performs badly with specific input parameters. We
get worst performance when input data is most restrictive. I have partially
identified a problem: it always happens when index scan is done in inner loop
and index type is pg_trgm. We also noticed that for simple query
(
select * from point where identifier = 'LOWW' vs
select * from point where identifier LIKE 'LOWW'
)
the difference between btree index and pg_trgm index can be quite high:
0.009 ms vs 32.0 ms.
What I would like to know is whenever query planner is aware that some index
types are more expensive the the others and whenever it can take that into
account?
I will describe background first, then give you query and its analysis for
different parameters and in the end I will write about all required information
regarding setup (Postgres version, Schema, metadata, hardware, etc.)
I would like to know whenever this is a bug in query planner or not and what
could we do about it.
############################################################ ####################
# Background
############################################################ ####################
We have a database with navigational data for civil aviation.
Current query is working on two tables: point and route.Point represents a navigational point on Earth and route describes a routebetween two points.
Query that we have finds all routes between two set of points. A set is adynamically/loosely defined by pattern given by the user input. So for exampleif user wants to find all routes between international airports in Austriatoward London Heathrow, he or she would use 'LOW%' as :from_point_identifierand 'EGLL' as :to_point_identifier. Please keep in mind that is a simple case,and that user is allowed to define search term any way he/she see it fit,
i.e. '%OW%', 'EG%'.
SELECT
r.*
FROM navdata.route r
INNER JOIN navdata.point op ON r.frompointguid = op.guid
INNER JOIN navdata.point dp ON r.topointguid = dp.guid
WHERE
r.routeidentifier ILIKE :route_identifier
AND tsrange(r.startvalid, r.endvalid) @> :validity :: TIMESTAMP
AND (NOT :use_sources :: BOOLEAN OR r.source = ANY (:sources :: VARCHAR []))
AND CONCAT(op.identifier, '') ILIKE :from_point_identifier
AND op.type = ANY (:point_types :: VARCHAR [])
AND tsrange(op.startvalid, op.endvalid) @> :validity :: TIMESTAMP
AND dp.identifier ILIKE :to_point_identifier :: VARCHAR
AND dp.type = ANY (:point_types :: VARCHAR [])
AND tsrange(dp.startvalid, dp.endvalid) @> :validity :: TIMESTAMP
ORDER BY r.routeidentifier
LIMIT 1000Most of the tables we have follows this layout principle:* uid - is primary key* guid - is globally unique key (i.e. London Heathrow could for examplechange it identifier EGLL, but our internal guid will stay same)* startvalid, endvalid - defines for which period is entry valid. Entires withsame guid should not have overlapping validity.We don't use foreign keys for two reasons:* We need to do live migration without downtime. Creating a foreign key onhuge dataset could take quite some time* Relationship between entities are defined based on guid and not on uid (primary key).############################################################ ####################
# Query analysis
############################################################ ####################
------------------------------------------------------------ --------------------
# Case 1 : We search for all outgoing routes from Vienna International Airport
------------------------------------------------------------ --------------------
EXPLAIN (ANALYZE, COSTS, VERBOSE, BUFFERS)
SELECT
r.*
FROM navdata.route r
INNER JOIN navdata.point op ON r.frompointguid = op.guid
INNER JOIN navdata.point dp ON r.topointguid = dp.guid
WHERE
r.routeidentifier ILIKE '%'
AND tsrange(r.startvalid, r.endvalid) @> now() :: TIMESTAMP
AND (NOT false :: BOOLEAN OR r.source = ANY (ARRAY[] :: VARCHAR []))
AND op.identifier ILIKE '%LOWW%'
AND op.type = ANY (ARRAY['PA'] :: VARCHAR [])
AND tsrange(op.startvalid, op.endvalid) @> now() :: TIMESTAMP
AND dp.identifier ILIKE '%' :: VARCHAR
AND dp.type = ANY (ARRAY['PA'] :: VARCHAR [])
AND tsrange(dp.startvalid, dp.endvalid) @> now() :: TIMESTAMP
ORDER BY r.routeidentifier
LIMIT 1000
Limit (cost=666.58..666.58 rows=1 width=349) (actual time=358.466..359.688 rows=1000 loops=1)
Output: r.uid, r.routeidentifier, r.frompointguid, r.topointguid, r.sidguid, r.starguid, r.routeinformation, r.routetype, r.startvalid, r.endvalid, r.revisionuid, r.source, r.fufi, r.grounddistance_excl_sidstar, r.from_first, r.dep_airports, r.dst_airports, r.tag, r.expanded_route_string, r.route_geometry
Buffers: shared hit=29786 read=1
-> Sort (cost=666.58..666.58 rows=1 width=349) (actual time=358.464..358.942 rows=1000 loops=1)
Output: r.uid, r.routeidentifier, r.frompointguid, r.topointguid, r.sidguid, r.starguid, r.routeinformation, r.routetype, r.startvalid, r.endvalid, r.revisionuid, r.source, r.fufi, r.grounddistance_excl_sidstar, r.from_first, r.dep_airports, r.dst_airports, r.tag, r.expanded_route_string, r.route_geometry
Sort Key: r.routeidentifier
Sort Method: quicksort Memory: 582kB
Buffers: shared hit=29786 read=1
-> Nested Loop (cost=149.94..666.57 rows=1 width=349) (actual time=291.681..356.261 rows=1540 loops=1)
Output: r.uid, r.routeidentifier, r.frompointguid, r.topointguid, r.sidguid, r.starguid, r.routeinformation, r.routetype, r.startvalid, r.endvalid, r.revisionuid, r.source, r.fufi, r.grounddistance_excl_sidstar, r.from_first, r.dep_airports, r.dst_airports, r.tag, r.expanded_route_string, r.route_geometry
Buffers: shared hit=29786 read=1
-> Nested Loop (cost=149.51..653.92 rows=1 width=349) (actual time=291.652..300.076 rows=1546 loops=1)
Output: r.uid, r.routeidentifier, r.frompointguid, r.topointguid, r.sidguid, r.starguid, r.routeinformation, r.routetype, r.startvalid, r.endvalid, r.revisionuid, r.source, r.fufi, r.grounddistance_excl_sidstar, r.from_first, r.dep_airports, r.dst_airports, r.tag, r.expanded_route_string, r.route_geometry
Buffers: shared hit=13331 read=1
-> Bitmap Heap Scan on navdata.point op (cost=5.75..358.28 rows=2 width=16) (actual time=95.933..96.155 rows=1 loops=1)
Output: op.uid, op.guid, op.airportguid, op.identifier, op.icaocode, op.name, op.type, op.coordinates, op.fir, op.navaidfrequency, op.elevation, op.magneticvariance, op.startvalid, op.endvalid, op.revisionuid, op.source, op.leveltype
Recheck Cond: ((op.identifier)::text ~~* '%LOWW%'::text)
Filter: (((op.type)::text = ANY ('{PA}'::text[])) AND (tsrange(op.startvalid, op.endvalid) @> (now())::timestamp without time zone))
Rows Removed by Filter: 50
Heap Blocks: exact=51
Buffers: shared hit=4974 read=1
-> Bitmap Index Scan on idx_point_08 (cost=0.00..5.75 rows=178 width=0) (actual time=95.871..95.871 rows=51 loops=1)
Index Cond: ((op.identifier)::text ~~* '%LOWW%'::text)
Buffers: shared hit=4924
-> Bitmap Heap Scan on navdata.route r (cost=143.77..147.80 rows=2 width=349) (actual time=195.711..202.308 rows=1546 loops=1)
Output: r.uid, r.routeidentifier, r.frompointguid, r.topointguid, r.sidguid, r.starguid, r.routeinformation, r.routetype, r.startvalid, r.endvalid, r.revisionuid, r.source, r.fufi, r.grounddistance_excl_sidstar, r.from_first, r.dep_airports, r.dst_airports, r.tag, r.expanded_route_string, r.route_geometry
Recheck Cond: ((r.frompointguid = op.guid) AND (tsrange(r.startvalid, r.endvalid) @> (now())::timestamp without time zone))
Filter: ((r.routeidentifier)::text ~~* '%'::text)
Heap Blocks: exact=1231
Buffers: shared hit=8357
-> BitmapAnd (cost=143.77..143.77 rows=2 width=0) (actual time=195.501..195.501 rows=0 loops=1)
Buffers: shared hit=7126
-> Bitmap Index Scan on idx_route_02 (cost=0.00..6.85 rows=324 width=0) (actual time=0.707..0.707 rows=4295 loops=1)
Index Cond: (r.frompointguid = op.guid)
Buffers: shared hit=21
-> Bitmap Index Scan on idx_route_07 (cost=0.00..135.49 rows=4693 width=0) (actual time=193.881..193.881 rows=579054 loops=1)
Index Cond: (tsrange(r.startvalid, r.endvalid) @> (now())::timestamp without time zone)
Buffers: shared hit=7105
-> Index Scan using cidx_point on navdata.point dp (cost=0.43..12.63 rows=1 width=16) (actual time=0.009..0.034 rows=1 loops=1546)
Output: dp.uid, dp.guid, dp.airportguid, dp.identifier, dp.icaocode, dp.name, dp.type, dp.coordinates, dp.fir, dp.navaidfrequency, dp.elevation, dp.magneticvariance, dp.startvalid, dp.endvalid, dp.revisionuid, dp.source, dp.leveltype
Index Cond: (dp.guid = r.topointguid)
Filter: (((dp.type)::text = ANY ('{PA}'::text[])) AND ((dp.identifier)::text ~~* '%'::text) AND (tsrange(dp.startvalid, dp.endvalid) @> (now())::timestamp without time zone))
Rows Removed by Filter: 7
Buffers: shared hit=16455
Planning time: 4.603 ms
Execution time: 360.180 ms
* 360 ms. That is quite fine for our standards. *
------------------------------------------------------------ --------------------
# Case 2 : We search for all routes between Vienna International Airport and
London Heathrow (here is where trouble begins)
------------------------------------------------------------ --------------------
EXPLAIN (ANALYZE, COSTS, VERBOSE, BUFFERS)
SELECT
r.*
FROM navdata.route r
INNER JOIN navdata.point op ON r.frompointguid = op.guid
INNER JOIN navdata.point dp ON r.topointguid = dp.guid
WHERE
r.routeidentifier ILIKE '%'
AND tsrange(r.startvalid, r.endvalid) @> now() :: TIMESTAMP
AND (NOT false :: BOOLEAN OR r.source = ANY (ARRAY[] :: VARCHAR []))
AND op.identifier ILIKE '%LOWW%'
AND op.type = ANY (ARRAY['PA'] :: VARCHAR [])
AND tsrange(op.startvalid, op.endvalid) @> now() :: TIMESTAMP
AND dp.identifier ILIKE '%EGLL%' :: VARCHAR
AND dp.type = ANY (ARRAY['PA'] :: VARCHAR [])
AND tsrange(dp.startvalid, dp.endvalid) @> now() :: TIMESTAMP
ORDER BY r.routeidentifier
LIMIT 1000
Limit (cost=659.57..659.58 rows=1 width=349) (actual time=223118.664..223118.714 rows=36 loops=1)
Output: r.uid, r.routeidentifier, r.frompointguid, r.topointguid, r.sidguid, r.starguid, r.routeinformation, r.routetype, r.startvalid, r.endvalid, r.revisionuid, r.source, r.fufi, r.grounddistance_excl_sidstar, r.from_first, r.dep_airports, r.dst_airports, r.tag, r.expanded_route_string, r.route_geometry
Buffers: shared hit=12033194
-> Sort (cost=659.57..659.58 rows=1 width=349) (actual time=223118.661..223118.681 rows=36 loops=1)
Output: r.uid, r.routeidentifier, r.frompointguid, r.topointguid, r.sidguid, r.starguid, r.routeinformation, r.routetype, r.startvalid, r.endvalid, r.revisionuid, r.source, r.fufi, r.grounddistance_excl_sidstar, r.from_first, r.dep_airports, r.dst_airports, r.tag, r.expanded_route_string, r.route_geometry
Sort Key: r.routeidentifier
Sort Method: quicksort Memory: 35kB
Buffers: shared hit=12033194
-> Nested Loop (cost=157.35..659.56 rows=1 width=349) (actual time=4290.975..223118.490 rows=36 loops=1)
Output: r.uid, r.routeidentifier, r.frompointguid, r.topointguid, r.sidguid, r.starguid, r.routeinformation, r.routetype, r.startvalid, r.endvalid, r.revisionuid, r.source, r.fufi, r.grounddistance_excl_sidstar, r.from_first, r.dep_airports, r.dst_airports, r.tag, r.expanded_route_string, r.route_geometry
Buffers: shared hit=12033194
-> Nested Loop (cost=149.32..649.49 rows=1 width=349) (actual time=319.717..367.139 rows=2439 loops=1)
Output: r.uid, r.routeidentifier, r.frompointguid, r.topointguid, r.sidguid, r.starguid, r.routeinformation, r.routetype, r.startvalid, r.endvalid, r.revisionuid, r.source, r.fufi, r.grounddistance_excl_sidstar, r.from_first, r.dep_airports, r.dst_airports, r.tag, r.expanded_route_string, r.route_geometry
Buffers: shared hit=15788
-> Bitmap Heap Scan on navdata.point dp (cost=5.75..358.28 rows=2 width=16) (actual time=124.922..125.008 rows=1 loops=1)
Output: dp.uid, dp.guid, dp.airportguid, dp.identifier, dp.icaocode, dp.name, dp.type, dp.coordinates, dp.fir, dp.navaidfrequency, dp.elevation, dp.magneticvariance, dp.startvalid, dp.endvalid, dp.revisionuid, dp.source, dp.leveltype
Recheck Cond: ((dp.identifier)::text ~~* '%EGLL%'::text)
Filter: (((dp.type)::text = ANY ('{PA}'::text[])) AND (tsrange(dp.startvalid, dp.endvalid) @> (now())::timestamp without time zone))
Rows Removed by Filter: 6
Heap Blocks: exact=7
Buffers: shared hit=6786
-> Bitmap Index Scan on idx_point_08 (cost=0.00..5.75 rows=178 width=0) (actual time=124.882..124.882 rows=7 loops=1)
Index Cond: ((dp.identifier)::text ~~* '%EGLL%'::text)
Buffers: shared hit=6779
-> Bitmap Heap Scan on navdata.route r (cost=143.57..145.60 rows=1 width=349) (actual time=194.785..237.128 rows=2439 loops=1)
Output: r.uid, r.routeidentifier, r.frompointguid, r.topointguid, r.sidguid, r.starguid, r.routeinformation, r.routetype, r.startvalid, r.endvalid, r.revisionuid, r.source, r.fufi, r.grounddistance_excl_sidstar, r.from_first, r.dep_airports, r.dst_airports, r.tag, r.expanded_route_string, r.route_geometry
Recheck Cond: ((r.topointguid = dp.guid) AND (tsrange(r.startvalid, r.endvalid) @> (now())::timestamp without time zone))
Filter: ((r.routeidentifier)::text ~~* '%'::text)
Heap Blocks: exact=1834
Buffers: shared hit=9002
-> BitmapAnd (cost=143.57..143.57 rows=1 width=0) (actual time=194.460..194.460 rows=0 loops=1)
Buffers: shared hit=7168
-> Bitmap Index Scan on idx_route_03 (cost=0.00..6.66 rows=298 width=0) (actual time=2.326..2.326 rows=15148 loops=1)
Index Cond: (r.topointguid = dp.guid)
Buffers: shared hit=63
-> Bitmap Index Scan on idx_route_07 (cost=0.00..135.49 rows=4693 width=0) (actual time=190.001..190.001 rows=579054 loops=1)
Index Cond: (tsrange(r.startvalid, r.endvalid) @> (now())::timestamp without time zone)
Buffers: shared hit=7105
-> Bitmap Heap Scan on navdata.point op (cost=8.03..10.06 rows=1 width=16) (actual time=91.321..91.321 rows=0 loops=2439)
Output: op.uid, op.guid, op.airportguid, op.identifier, op.icaocode, op.name, op.type, op.coordinates, op.fir, op.navaidfrequency, op.elevation, op.magneticvariance, op.startvalid, op.endvalid, op.revisionuid, op.source, op.leveltype
Recheck Cond: ((op.guid = r.frompointguid) AND ((op.identifier)::text ~~* '%LOWW%'::text))
Filter: (((op.type)::text = ANY ('{PA}'::text[])) AND (tsrange(op.startvalid, op.endvalid) @> (now())::timestamp without time zone))
Rows Removed by Filter: 0
Heap Blocks: exact=252
Buffers: shared hit=12017406
-> BitmapAnd (cost=8.03..8.03 rows=1 width=0) (actual time=91.315..91.315 rows=0 loops=2439)
Buffers: shared hit=12017154
-> Bitmap Index Scan on cidx_point (cost=0.00..2.04 rows=6 width=0) (actual time=0.017..0.017 rows=8 loops=2439)
Index Cond: (op.guid = r.frompointguid)
Buffers: shared hit=7518
-> Bitmap Index Scan on idx_point_08 (cost=0.00..5.75 rows=178 width=0) (actual time=91.288..91.288 rows=51 loops=2439)
Index Cond: ((op.identifier)::text ~~* '%LOWW%'::text)
Buffers: shared hit=12009636
Planning time: 5.162 ms
Execution time: 223118.858 ms* Please pay attention to index scan on idx_point_08. It takes on average 91 msand it is executed 2439 times = 221949 ms. That is where we spend most of thetime. *
------------------------------------------------------------ --------------------
# Case 3 : We again search for all routes between Vienna International Airport
and London Heathrow, but this time I use CONCAT(op.identifier, '') as
optimization fence.
------------------------------------------------------------ --------------------
EXPLAIN (ANALYZE, COSTS, VERBOSE, BUFFERS)
SELECT
r.*
FROM navdata.route r
INNER JOIN navdata.point op ON r.frompointguid = op.guid
INNER JOIN navdata.point dp ON r.topointguid = dp.guid
WHERE
r.routeidentifier ILIKE '%'
AND tsrange(r.startvalid, r.endvalid) @> now() :: TIMESTAMP
AND (NOT false :: BOOLEAN OR r.source = ANY (ARRAY[] :: VARCHAR []))
AND CONCAT(op.identifier, '') ILIKE '%LOWW%'
AND op.type = ANY (ARRAY['PA'] :: VARCHAR [])
AND tsrange(op.startvalid, op.endvalid) @> now() :: TIMESTAMP
AND dp.identifier ILIKE '%EGLL%' :: VARCHAR
AND dp.type = ANY (ARRAY['PA'] :: VARCHAR [])
AND tsrange(dp.startvalid, dp.endvalid) @> now() :: TIMESTAMP
ORDER BY r.routeidentifier
LIMIT 1000
Limit (cost=662.16..662.17 rows=1 width=349) (actual time=411.756..411.808 rows=36 loops=1)
Output: r.uid, r.routeidentifier, r.frompointguid, r.topointguid, r.sidguid, r.starguid, r.routeinformation, r.routetype, r.startvalid, r.endvalid, r.revisionuid, r.source, r.fufi, r.grounddistance_excl_sidstar, r.from_first, r.dep_airports, r.dst_airports, r.tag, r.expanded_route_string, r.route_geometry
Buffers: shared hit=43025
-> Sort (cost=662.16..662.17 rows=1 width=349) (actual time=411.755..411.776 rows=36 loops=1)
Output: r.uid, r.routeidentifier, r.frompointguid, r.topointguid, r.sidguid, r.starguid, r.routeinformation, r.routetype, r.startvalid, r.endvalid, r.revisionuid, r.source, r.fufi, r.grounddistance_excl_sidstar, r.from_first, r.dep_airports, r.dst_airports, r.tag, r.expanded_route_string, r.route_geometry
Sort Key: r.routeidentifier
Sort Method: quicksort Memory: 35kB
Buffers: shared hit=43025
-> Nested Loop (cost=149.75..662.15 rows=1 width=349) (actual time=316.518..411.656 rows=36 loops=1)
Output: r.uid, r.routeidentifier, r.frompointguid, r.topointguid, r.sidguid, r.starguid, r.routeinformation, r.routetype, r.startvalid, r.endvalid, r.revisionuid, r.source, r.fufi, r.grounddistance_excl_sidstar, r.from_first, r.dep_airports, r.dst_airports, r.tag, r.expanded_route_string, r.route_geometry
Buffers: shared hit=43025
-> Nested Loop (cost=149.32..649.49 rows=1 width=349) (actual time=314.704..326.873 rows=2439 loops=1)
Output: r.uid, r.routeidentifier, r.frompointguid, r.topointguid, r.sidguid, r.starguid, r.routeinformation, r.routetype, r.startvalid, r.endvalid, r.revisionuid, r.source, r.fufi, r.grounddistance_excl_sidstar, r.from_first, r.dep_airports, r.dst_airports, r.tag, r.expanded_route_string, r.route_geometry
Buffers: shared hit=15788
-> Bitmap Heap Scan on navdata.point dp (cost=5.75..358.28 rows=2 width=16) (actual time=123.267..123.310 rows=1 loops=1)
Output: dp.uid, dp.guid, dp.airportguid, dp.identifier, dp.icaocode, dp.name, dp.type, dp.coordinates, dp.fir, dp.navaidfrequency, dp.elevation, dp.magneticvariance, dp.startvalid, dp.endvalid, dp.revisionuid, dp.source, dp.leveltype
Recheck Cond: ((dp.identifier)::text ~~* '%EGLL%'::text)
Filter: (((dp.type)::text = ANY ('{PA}'::text[])) AND (tsrange(dp.startvalid, dp.endvalid) @> (now())::timestamp without time zone))
Rows Removed by Filter: 6
Heap Blocks: exact=7
Buffers: shared hit=6786
-> Bitmap Index Scan on idx_point_08 (cost=0.00..5.75 rows=178 width=0) (actual time=123.232..123.232 rows=7 loops=1)
Index Cond: ((dp.identifier)::text ~~* '%EGLL%'::text)
Buffers: shared hit=6779
-> Bitmap Heap Scan on navdata.route r (cost=143.57..145.60 rows=1 width=349) (actual time=191.429..201.176 rows=2439 loops=1)
Output: r.uid, r.routeidentifier, r.frompointguid, r.topointguid, r.sidguid, r.starguid, r.routeinformation, r.routetype, r.startvalid, r.endvalid, r.revisionuid, r.source, r.fufi, r.grounddistance_excl_sidstar, r.from_first, r.dep_airports, r.dst_airports, r.tag, r.expanded_route_string, r.route_geometry
Recheck Cond: ((r.topointguid = dp.guid) AND (tsrange(r.startvalid, r.endvalid) @> (now())::timestamp without time zone))
Filter: ((r.routeidentifier)::text ~~* '%'::text)
Heap Blocks: exact=1834
Buffers: shared hit=9002
-> BitmapAnd (cost=143.57..143.57 rows=1 width=0) (actual time=191.097..191.097 rows=0 loops=1)
Buffers: shared hit=7168
-> Bitmap Index Scan on idx_route_03 (cost=0.00..6.66 rows=298 width=0) (actual time=2.349..2.349 rows=15148 loops=1)
Index Cond: (r.topointguid = dp.guid)
Buffers: shared hit=63
-> Bitmap Index Scan on idx_route_07 (cost=0.00..135.49 rows=4693 width=0) (actual time=186.640..186.640 rows=579054 loops=1)
Index Cond: (tsrange(r.startvalid, r.endvalid) @> (now())::timestamp without time zone)
Buffers: shared hit=7105
-> Index Scan using cidx_point on navdata.point op (cost=0.43..12.65 rows=1 width=16) (actual time=0.033..0.033 rows=0 loops=2439)
Output: op.uid, op.guid, op.airportguid, op.identifier, op.icaocode, op.name, op.type, op.coordinates, op.fir, op.navaidfrequency, op.elevation, op.magneticvariance, op.startvalid, op.endvalid, op.revisionuid, op.source, op.leveltype
Index Cond: (op.guid = r.frompointguid)
Filter: (((op.type)::text = ANY ('{PA}'::text[])) AND (concat(op.identifier, '') ~~* '%LOWW%'::text) AND (tsrange(op.startvalid, op.endvalid) @> (now())::timestamp without time zone))
Rows Removed by Filter: 8
Buffers: shared hit=27237
Planning time: 3.381 ms
Execution time: 411.944 ms
* We are back into acceptable margin. *
############################################################ ####################
# Postgres version
############################################################ ####################
PostgreSQL 9.6.9 on x86_64-pc-linux-gnu (Ubuntu 9.6.9-2.pgdg16.04+1), compiled by gcc (Ubuntu 5.4.0-6ubuntu1~16.04.9) 5.4.0 20160609, 64-bit
############################################################ ####################
# Schema
############################################################ #################### Currently, our tables are heavily indexed due to refactoring process and need towork with old and new version of software. Once we are finished, lot ofindexes shell be removed.
CREATE TABLE navdata.point (
uid uuid NOT NULL,
guid uuid NULL,
airportguid uuid NULL,
identifier varchar(5) NULL,
icaocode varchar(2) NULL,
"name" varchar(255) NULL,
"type" varchar(2) NULL,
coordinates geography NULL,
fir varchar(5) NULL,
navaidfrequency float8 NULL,
elevation float8 NULL,
magneticvariance float8 NULL,
startvalid timestamp NULL,
endvalid timestamp NULL,
revisionuid uuid NULL,
"source" varchar(4) NULL,
leveltype varchar(1) NULL,
CONSTRAINT point_pkey PRIMARY KEY (uid)
)
WITH (
OIDS=FALSE
) ;
CREATE INDEX cidx_point ON navdata.point USING btree (guid) ;
CREATE INDEX idx_point_01 ON navdata.point USING btree (identifier, guid) ;
CREATE INDEX idx_point_03 ON navdata.point USING btree (identifier) ;
CREATE INDEX idx_point_04 ON navdata.point USING gist (coordinates) WHERE (airportguid IS NULL) ;
CREATE INDEX idx_point_05 ON navdata.point USING btree (identifier text_pattern_ops) ;
CREATE INDEX idx_point_06 ON navdata.point USING btree (airportguid) ;
CREATE INDEX idx_point_07 ON navdata.point USING gist (coordinates) ;
CREATE INDEX idx_point_08 ON navdata.point USING gist (identifier gist_trgm_ops) ;
CREATE INDEX idx_point_09 ON navdata.point USING btree (type) ;
CREATE INDEX idx_point_10 ON navdata.point USING gist (name gist_trgm_ops) ;
CREATE INDEX idx_point_11 ON navdata.point USING btree (type, identifier text_pattern_ops) ;
CREATE INDEX idx_point_12 ON navdata.point USING gist (upper((identifier)::text) gist_trgm_ops) ;
CREATE INDEX idx_point_13 ON navdata.point USING gist (upper((name)::text) gist_trgm_ops) ;
CREATE INDEX idx_point_tmp ON navdata.point USING btree (leveltype) ;
CREATE INDEX point_validity_idx ON navdata.point USING gist (tsrange(startvalid, endvalid)) ;
CREATE TABLE navdata.route (
uid uuid NOT NULL,
routeidentifier varchar(3) NULL,
frompointguid uuid NULL,
topointguid uuid NULL,
sidguid uuid NULL,
starguid uuid NULL,
routeinformation varchar NULL,
routetype varchar(5) NULL,
startvalid timestamp NULL,
endvalid timestamp NULL,
revisionuid uuid NULL,
"source" varchar(4) NULL,
fufi uuid NULL,
grounddistance_excl_sidstar float8 NULL,
from_first bool NULL,
dep_airports varchar NULL,
dst_airports varchar NULL,
tag varchar NULL,
expanded_route_string varchar NULL,
route_geometry geometry NULL,
CONSTRAINT route_pkey PRIMARY KEY (uid)
)
WITH (
OIDS=FALSE
) ;
CREATE INDEX idx_route_01 ON navdata.route USING btree (uid) ;
CREATE INDEX idx_route_02 ON navdata.route USING btree (frompointguid) ;
CREATE INDEX idx_route_03 ON navdata.route USING btree (topointguid) ;
CREATE INDEX idx_route_04 ON navdata.route USING btree (fufi) ;
CREATE INDEX idx_route_05 ON navdata.route USING btree (source, routeidentifier, startvalid, endvalid) ;
CREATE INDEX idx_route_06 ON navdata.route USING gist (routeinformation gist_trgm_ops) ;
CREATE INDEX idx_route_07 ON navdata.route USING gist (tsrange(startvalid, endvalid)) ;
CREATE INDEX idx_route_09 ON navdata.route USING gist (routeidentifier gist_trgm_ops) ;
############################################################ ####################
# Table metadata
############################################################ ####################
relname |relpages |reltuples |relallvisible |relkind |relnatts |relhassubclass |reloptions |pg_table_size |
--------|---------|----------|--------------|--------|------ ---|---------------|---------- -|--------------|
route |36600 |938573 |36595 |r |22 |false |NULL |299941888 |
point |95241 |2156454 |95241 |r |17 |false |NULL |780460032 |
############################################################ ####################
# History
############################################################ ####################
This is a new query, because data layer is being refactored.
############################################################ ####################
# Hardware
############################################################ ####################
Postgres is running on virtual machine.
* CPU: 8 cores assigned
processor : 7
vendor_id : AuthenticAMD
cpu family : 21
model : 2
model name : AMD Opteron(tm) Processor 6380
stepping : 0
microcode : 0xffffffff
cpu MHz : 2500.020
cache size : 2048 KB
physical id : 0
siblings : 8
core id : 7
cpu cores : 8
apicid : 7
initial apicid : 7
fpu : yes
fpu_exception : yes
cpuid level : 13
wp : yes
flags : fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ht syscall nx mmxext fxsr_opt lm rep_good nopl extd_apicid pni pclmulqdq ssse3 fma cx16 sse4_1 sse4_2 popcnt aes xsave avx f16c hypervisor lahf_lm cmp_legacy cr8_legacy abm sse4a misalignsse 3dnowprefetch osvw xop fma4 vmmcall bmi1 arat
bugs : fxsave_leak sysret_ss_attrs
bogomips : 4998.98
TLB size : 1536 4K pages
clflush size : 64
cache_alignment : 64
address sizes : 42 bits physical, 48 bits virtual
power management:
* Memory: 32 GB
* Disk: Should be ssd, but unfortunattely I don't know which model.
############################################################ ####################
# bonnie++
############################################################ ####################
Using uid:111, gid:118.
format_version,bonnie_version,name,concurrency,seed,file_ size,io_chunk_size,putc,putc_ cpu,put_block,put_block_cpu, rewrite,rewrite_cpu,getc,getc_ cpu,get_block,get_block_cpu, seeks,seeks_cpu,num_files,max_ size,min_size,num_dirs,file_ chunk_size,seq_create,seq_ create_cpu,seq_stat,seq_stat_ cpu,seq_del,seq_del_cpu,ran_ create,ran_create_cpu,ran_ stat,ran_stat_cpu,ran_del,ran_ del_cpu,putc_latency,put_ block_latency,rewrite_latency, getc_latency,get_block_ latency,seeks_latency,seq_ create_latency,seq_stat_ latency,seq_del_latency,ran_ create_latency,ran_stat_ latency,ran_del_latency
Writing intelligently...done
Rewriting...done
Reading intelligently...done
start 'em...done...done...done...done...done...
1.97,1.97,v6565testdb01,1,1529491960,63G,,,,133872,20, 96641,17,,,469654,41,+++++,+++ ,,,,,,,,,,,,,,,,,,,2117ms, 2935ms,,270ms,4760us,,,,,,
Writing intelligently...done
Rewriting...done
Reading intelligently...done
start 'em...done...done...done...done...done...
1.97,1.97,v6565testdb01,1,1529491960,63G,,,,190192,26, 143595,23,,,457357,37,+++++,++ +,,,,,,,,,,,,,,,,,,,595ms, 2201ms,,284ms,6110us,,,,,,
Writing intelligently...done
Rewriting...done
Reading intelligently...done
start 'em...done...done...done...done...done...
1.97,1.97,v6565testdb01,1,1529491960,63G,,,,542936,81, 153952,25,,,446369,37,+++++,++ +,,,,,,,,,,,,,,,,,,,347ms, 3678ms,,101ms,5632us,,,,,,
Writing intelligently...done
Rewriting...done
Reading intelligently...done
start 'em...done...done...done...done...done...
1.97,1.97,v6565testdb01,1,1529491960,63G,,,,244155,33, 157543,26,,,441115,38,16111, 495,,,,,,,,,,,,,,,,,,,638ms, 2667ms,,195ms,9068us,,,,,,
############################################################ ####################
# Maintenance Setup
############################################################ ####################
Autovacuum: yes
############################################################ ####################
# postgresql.conf
############################################################ ####################
max_connections = 4096 # (change requires restart)
shared_buffers = 8GB # (change requires restart)
huge_pages = try # on, off, or try
work_mem = 4MB # min 64kB
maintenance_work_mem = 2GB # min 1MB
dynamic_shared_memory_type = posix # the default is the first option
shared_preload_libraries = 'pg_stat_statements'
pg_stat_statements.max = 10000
pg_stat_statements.track = all
wal_level = replica # minimal, replica, or logical
wal_buffers = 16MB
max_wal_size = 2GB
min_wal_size = 1GB
checkpoint_completion_target = 0.7
max_wal_senders = 4 # max number of walsender processes
random_page_cost = 2.0
effective_cache_size = 24GB
default_statistics_target = 100 # range 1-10000
############################################################ ####################
# Statistics
############################################################ ####################
frac_mcv |tablename |attname |n_distinct |n_mcv |n_hist |
--------------|----------|----------------------------|----- --------|------|-------|
|route |uid |-1 | |101 |
0.969699979 |route |routeidentifier |78 |2 |76 |
0.44780004 |route |frompointguid |2899 |100 |101 |
0.441700101 |route |topointguid |3154 |100 |101 |
0.0368666835 |route |sidguid |2254 |100 |101 |
0.0418333709 |route |starguid |3182 |100 |101 |
0.0515667647 |route |routeinformation |-0.335044593 |100 |101 |
0.0528000034 |route |routetype |3 |3 | |
0.755399942 |route |startvalid |810 |100 |101 |
0.962899983 |route |endvalid |22 |3 |19 |
0.00513333362 |route |revisionuid |-0.809282064 |2 |101 |
0.97906667 |route |source |52 |4 |48 |
|route |fufi |0 | | |
0.00923334155 |route |grounddistance_excl_sidstar |-0.552667081 |100 |101 |
0.0505000018 |route |from_first |2 |2 | |
0.0376333408 |route |dep_airports |326 |52 |101 |
0.0367666557 |route |dst_airports |388 |57 |101 |
|point |uid |-1 | |101 |
0.00185333542 |point |guid |-0.164169937 |100 |101 |
0.0573133379 |point |airportguid |23575 |100 |101 |
0.175699964 |point |identifier |209296 |1000 |1001 |
0.754063368 |point |icaocode |254 |41 |101 |
0.00352332788 |point |name |37853 |100 |101 |
0.999230027 |point |type |11 |6 |5 |
|point |coordinates |-1 | | |
0.607223332 |point |fir |281 |62 |101 |
0.0247033276 |point |navaidfrequency |744 |100 |101 |
0.0320866667 |point |elevation |14013 |100 |101 |
0.0011433335 |point |magneticvariance |-0.587834716 |100 |101 |
0.978270054 |point |startvalid |35 |12 |23 |
0.978176594 |point |endvalid |30 |11 |19 |
0.978123426 |point |revisionuid |62 |12 |50 |
0.99999994 |point |source |3 |3 | |
0.777056634 |point |leveltype |7 |7 | |############################################################ #################### I am looking forward to your suggestions.Thanks in advance!Sasa Vilic
