Awesome ! Thank you very much, that solved it :) . But, do you have any idea why this isn't enabled by default ? As a first time user for FDW I would assume that usage of remote estimates would be enabled by default because they would be more authoritative and more representative of access patterns. Correct ?
Best Regards, Mohammad On Sun, Oct 11, 2015 at 5:42 PM, desmodemone <desmodem...@gmail.com> wrote: > Hi Mohammad, > I think it's not enable > "use_remote_estimate" during the creation of the foreign table > > http://www.postgresql.org/docs/9.4/static/postgres-fdw.html > > use_remote_estimate > > This option, which can be specified for a foreign table or a foreign > server, controls whether postgres_fdw issues remote EXPLAIN commands to > obtain cost estimates. A setting for a foreign table overrides any setting > for its server, but only for that table. The default is false. > > > try it > > > Bye > > > 2015-10-11 10:05 GMT+02:00 Mohammad Habbab <moh.hab...@gmail.com>: > >> Hi there, >> >> If it's possible, I would really appreciate any hints or help on an issue >> I've been facing lately. >> I'm running two instance of Postgres locally: 9.4.4 (operational db) and >> 9.5beta1 (analytical db). I've already imported schema to analytical db and >> while doing the following query I find very different query plans being >> executed: >> >> Query: >> >> EXPLAIN ANALYZE VERBOSE SELECT >> o.id AS id, >> o.company_id AS company_id, >> o.created_at::date AS created_at, >> COALESCE(o.assignee_id, 0) AS assignee_id, >> (o.tax_treatment)::text AS tax_treatment, >> COALESCE(o.tax_override, 0) AS tax_override, >> COALESCE(o.stock_location_id, 0) AS stock_location_id, >> COALESCE(l.label, 'N/A')::text AS stock_location_name, >> COALESCE(sa.country, 'N/A')::text AS shipping_address_country, >> COALESCE(o.tags, ARRAY[]::text[]) AS tags >> FROM orders AS o >> INNER JOIN locations AS l ON l.id = o.stock_location_id >> INNER JOIN addresses AS sa ON sa.id = o.shipping_address_id >> WHERE o.account_id = <some_value> AND l.account_id = <another_value> >> LIMIT 10; >> >> >> Plan when I run it locally on operational db: >> >> Limit (cost=747.62..811.46 rows=1 width=76) (actual time=28.208..28.397 >> rows=10 loops=1) >> Output: o.id, o.company_id, ((o.created_at)::date), >> (COALESCE(o.assignee_id, 0)), ((o.tax_treatment)::text), >> (COALESCE(o.tax_override, 0::numeric)), (COALESCE(o.stock_location_id, 0)), >> ((COALESCE(l.label, 'N/A'::character varying))::text), >> ((COALESCE(sa.country, 'N/A'::character varying))::text), (COALESCE(o.tags, >> '{}'::character varying[])) >> -> Nested Loop (cost=747.62..811.46 rows=1 width=76) (actual >> time=28.208..28.395 rows=10 loops=1) >> Output: o.id, o.company_id, (o.created_at)::date, >> COALESCE(o.assignee_id, 0), (o.tax_treatment)::text, >> COALESCE(o.tax_override, 0::numeric), COALESCE(o.stock_location_id, 0), >> (COALESCE(l.label, 'N/A'::character varying))::text, (COALESCE(sa.country, >> 'N/A'::character varying))::text, COALESCE(o.tags, '{}'::character >> varying[]) >> -> Nested Loop (cost=747.19..807.15 rows=1 width=73) (actual >> time=28.164..28.211 rows=10 loops=1) >> Output: o.id, o.company_id, o.created_at, o.assignee_id, >> o.tax_treatment, o.tax_override, o.stock_location_id, o.tags, >> o.shipping_address_id, l.label >> -> Index Scan using index_locations_on_account_id on >> public.locations l (cost=0.29..8.31 rows=1 width=20) (actual >> time=0.025..0.025 rows=1 loops=1) >> Output: l.id, l.address1, l.address2, l.city, >> l.country, l.zip_code, l.suburb, l.state, l.label, l.status, l.latitude, >> l.longitude, l.created_at, l.updated_at, l.account_id, l.holds_stock >> Index Cond: (l.account_id = 18799) >> -> Bitmap Heap Scan on public.orders o (cost=746.90..798.71 >> rows=13 width=57) (actual time=28.133..28.176 rows=10 loops=1) >> Output: o.id, o.account_id, o.company_id, o.status, >> o.invoice_number, o.reference_number, o.due_at, o.issued_at, o.user_id, >> o.notes, o.created_at, o.updated_at, o.order_number, o.billing_address_id, >> o.shipping_address_id, o.payment_status, o.email, o.fulfillment_status, >> o.phone_number, o.assignee_id, o.tax_treatment, o.tax_override, >> o.tax_label_override, o.stock_location_id, o.currency_id, o.source, >> o.source_url, o.demo, o.invoice_status, o.ship_at, o.source_id, o.search, >> o.default_price_list_id, o.contact_id, o.return_status, o.tags, >> o.packed_status, o.returning_status, o.shippability_status, >> o.backordering_status >> Recheck Cond: ((o.stock_location_id = l.id) AND >> (o.account_id = 18799)) >> Heap Blocks: exact=7 >> -> BitmapAnd (cost=746.90..746.90 rows=13 width=0) >> (actual time=23.134..23.134 rows=0 loops=1) >> -> Bitmap Index Scan on >> index_orders_on_stock_location_id_manual (cost=0.00..18.02 rows=745 >> width=0) (actual time=9.282..9.282 rows=40317 loops=1) >> Index Cond: (o.stock_location_id = l.id) >> -> Bitmap Index Scan on >> index_orders_on_account_id (cost=0.00..718.94 rows=38735 width=0) (actual >> time=9.856..9.856 rows=40317 loops=1) >> Index Cond: (o.account_id = 18799) >> -> Index Scan using addresses_pkey on public.addresses sa >> (cost=0.43..4.30 rows=1 width=11) (actual time=0.015..0.016 rows=1 >> loops=10) >> Output: sa.id, sa.company_id, sa.address1, sa.city, >> sa.country, sa.zip_code, sa.created_at, sa.updated_at, sa.suburb, sa.state, >> sa.label, sa.status, sa.address2, sa.phone_number, sa.email, >> sa.company_name, sa.latitude, sa.longitude, sa.first_name, sa.last_name >> Index Cond: (sa.id = o.shipping_address_id) >> Planning time: 1.136 ms >> Execution time: 28.621 ms >> (23 rows) >> >> Plan when I run it from analytical db via FDW: >> >> Limit (cost=300.00..339.95 rows=1 width=1620) (actual >> time=7630.240..82368.326 rows=10 loops=1) >> Output: o.id, o.company_id, ((o.created_at)::date), >> (COALESCE(o.assignee_id, 0)), ((o.tax_treatment)::text), >> (COALESCE(o.tax_override, '0'::numeric)), (COALESCE(o.stock_location_id, >> 0)), ((COALESCE(l.label, 'N/A'::character varying)):: >> text), ((COALESCE(sa.country, 'N/A'::character varying))::text), >> (COALESCE(o.tags, '{}'::character varying[])) >> -> Nested Loop (cost=300.00..339.95 rows=1 width=1620) (actual >> time=7630.238..82368.314 rows=10 loops=1) >> Output: o.id, o.company_id, (o.created_at)::date, >> COALESCE(o.assignee_id, 0), (o.tax_treatment)::text, >> COALESCE(o.tax_override, '0'::numeric), COALESCE(o.stock_location_id, 0), >> (COALESCE(l.label, 'N/A'::character varying))::text, >> (COALESCE(sa.country, 'N/A'::character varying))::text, COALESCE(o.tags, >> '{}'::character varying[]) >> Join Filter: (o.shipping_address_id = sa.id) >> Rows Removed by Join Filter: 19227526 >> -> Nested Loop (cost=200.00..223.58 rows=1 width=1108) (actual >> time=69.758..69.812 rows=10 loops=1) >> Output: o.id, o.company_id, o.created_at, o.assignee_id, >> o.tax_treatment, o.tax_override, o.stock_location_id, o.tags, >> o.shipping_address_id, l.label >> Join Filter: (o.stock_location_id = l.id) >> Rows Removed by Join Filter: 18 >> -> Foreign Scan on remote.orders o (cost=100.00..111.67 >> rows=1 width=592) (actual time=68.009..68.014 rows=10 loops=1) >> Output: o.id, o.account_id, o.company_id, o.status, >> o.invoice_number, o.reference_number, o.due_at, o.issued_at, o.user_id, >> o.notes, o.created_at, o.updated_at, o.order_number, o.billing_address_id, >> o.shipping_address >> _id, o.payment_status, o.email, o.fulfillment_status, o.phone_number, >> o.assignee_id, o.tax_treatment, o.tax_override, o.tax_label_override, >> o.stock_location_id, o.currency_id, o.source, o.source_url, o.demo, >> o.invoice_status, o.ship_at, o >> .source_id, o.search, o.default_price_list_id, o.contact_id, >> o.return_status, o.tags, o.packed_status, o.returning_status, >> o.shippability_status, o.backordering_status >> Remote SQL: SELECT id, company_id, created_at, >> shipping_address_id, assignee_id, tax_treatment, tax_override, >> stock_location_id, tags FROM public.orders WHERE ((account_id = 18799)) >> -> Foreign Scan on remote.locations l >> (cost=100.00..111.90 rows=1 width=520) (actual time=0.174..0.174 rows=3 >> loops=10) >> Output: l.id, l.address1, l.address2, l.city, >> l.country, l.zip_code, l.suburb, l.state, l.label, l.status, l.latitude, >> l.longitude, l.created_at, l.updated_at, l.account_id, l.holds_stock >> Remote SQL: SELECT id, label FROM public.locations >> WHERE ((account_id = 18799)) >> -> Foreign Scan on remote.addresses sa (cost=100.00..114.50 >> rows=150 width=520) (actual time=0.634..8029.415 rows=1922754 loops=10) >> Output: sa.id, sa.company_id, sa.address1, sa.city, >> sa.country, sa.zip_code, sa.created_at, sa.updated_at, sa.suburb, sa.state, >> sa.label, sa.status, sa.address2, sa.phone_number, sa.email, >> sa.company_name, sa.latitude, sa.l >> ongitude, sa.first_name, sa.last_name >> Remote SQL: SELECT id, country FROM public.addresses >> Planning time: 0.209 ms >> Execution time: 82391.610 ms >> (21 rows) >> >> Time: 82393.211 ms >> >> What am I doing wrong ? really appreciate any guidance possible. Thank >> you very much for taking the time to helping me with this. >> >> Best Regards, >> Mohammad >> > > > > -- > Matteo Durighetto > > - - - - - - - - - - - - - - - - - - - - - - - > > Italian PostgreSQL User Group <http://www.itpug.org/index.it.html> > Italian Community for Geographic Free/Open-Source Software > <http://www.gfoss.it> > -- Mohammad Habbab Bangsar, KL, Malaysia Mobile No. +601111582144 Email: moh.hab...@gmail.com LinkedIn: https://www.linkedin.com/in/mohammadhabbab