Why isn't PostgreSQL using index for this join query - postgresql

Question

explain (analyze) select
event_user_detail.*
from event_user_detail
inner join guest_list on event_user_detail.guest_list_id = guest_list.id
where
guest_list.event_id=2985739029
Results in the following query plan:
Gather (cost=1052.56..43408.58 rows=244 width=97) (actual time=66.570..67.810 rows=0 loops=1)
Workers Planned: 2
Workers Launched: 2
-> Nested Loop (cost=52.56..42384.18 rows=102 width=97) (actual time=57.183..57.183 rows=0 loops=3)
-> Parallel Seq Scan on guest_list (cost=0.00..13151.33 rows=5 width=8) (actual time=56.941..57.169 rows=2 loops=3)
Filter: (event_id = '2985739029'::bigint)
Rows Removed by Filter: 254489
-> Bitmap Heap Scan on event_user_detail (cost=52.56..5830.93 rows=1564 width=97) (actual time=0.007..0.007 rows=0 loops=5)
Recheck Cond: (guest_list_id = guest_list.id)
-> Bitmap Index Scan on idx_event_user_detail_guest_list_id (cost=0.00..52.17 rows=1564 width=0) (actual time=0.005..0.005 rows=0 loops=5)
Index Cond: (guest_list_id = guest_list.id)
Planning time: 0.252 ms
Execution time: 67.838 ms
Even tho there is an index on guest_list(event_id). Can someone explain why this is happening and if there is some way to fix it?
If I split this up in 2 queries, of which one is just to get the guest_list ids, and then do a simple in (...ids) then the query is super quick. I tried doing the same with a subquery, but I think the optimiser made it into a join.
-- ----------------------------
-- Table structure for guest_list
-- ----------------------------
DROP TABLE IF EXISTS "public"."guest_list";
CREATE TABLE "public"."guest_list" (
"id" int8 NOT NULL,
"creation_date" timestamp(6),
"last_modification_date" timestamp(6),
"uuid" uuid,
"deleted" bool NOT NULL,
"name" varchar(255) COLLATE "pg_catalog"."default",
"version" int4,
"event_id" int8,
"permanent_guest_list_id" int8,
"color" varchar(255) COLLATE "pg_catalog"."default"
)
;
-- ----------------------------
-- Indexes structure for table guest_list
-- ----------------------------
CREATE INDEX "idx_guest_list_event_id" ON "public"."guest_list" USING btree (
"event_id" "pg_catalog"."int8_ops" ASC NULLS LAST
);
CREATE INDEX "idx_guest_list_permanent_guest_list_id" ON "public"."guest_list" USING btree (
"permanent_guest_list_id" "pg_catalog"."int8_ops" ASC NULLS LAST
);
-- ----------------------------
-- Uniques structure for table guest_list
-- ----------------------------
ALTER TABLE "public"."guest_list" ADD CONSTRAINT "uk_o4sa0dw6lcdjv96gl2p96xwki" UNIQUE ("uuid");
-- ----------------------------
-- Primary Key structure for table guest_list
-- ----------------------------
ALTER TABLE "public"."guest_list" ADD CONSTRAINT "guest_list_pkey" PRIMARY KEY ("id");
-- ----------------------------
-- Foreign Keys structure for table guest_list
-- ----------------------------
ALTER TABLE "public"."guest_list" ADD CONSTRAINT "fk7tk6fxgyo4h7ykelb9c0pe5ap" FOREIGN KEY ("event_id") REFERENCES "public"."event" ("id") ON DELETE NO ACTION ON UPDATE NO ACTION;
ALTER TABLE "public"."guest_list" ADD CONSTRAINT "guest_list_permanent_guest_list_id_fkey" FOREIGN KEY ("permanent_guest_list_id") REFERENCES "public"."permanent_guest_list" ("id") ON DELETE NO ACTION ON UPDATE NO ACTION;
-- ----------------------------
-- Table structure for event_user_detail
-- ----------------------------
DROP TABLE IF EXISTS "public"."event_user_detail";
CREATE TABLE "public"."event_user_detail" (
"id" int8 NOT NULL,
"creation_date" timestamp(6),
"last_modification_date" timestamp(6),
"uuid" uuid,
"deleted" bool NOT NULL,
"name" varchar(255) COLLATE "pg_catalog"."default",
"value" text COLLATE "pg_catalog"."default",
"version" int4,
"event_id" int8,
"user_id" int8,
"guest_list_id" int8,
"reference_user_id" int8
)
;
-- ----------------------------
-- Indexes structure for table event_user_detail
-- ----------------------------
CREATE INDEX "idx_event_user_detail_deleted" ON "public"."event_user_detail" USING btree (
"deleted" "pg_catalog"."bool_ops" ASC NULLS LAST
);
CREATE INDEX "idx_event_user_detail_event_id" ON "public"."event_user_detail" USING btree (
"event_id" "pg_catalog"."int8_ops" ASC NULLS LAST
);
CREATE INDEX "idx_event_user_detail_guest_list_id" ON "public"."event_user_detail" USING btree (
"guest_list_id" "pg_catalog"."int8_ops" ASC NULLS LAST
);
CREATE INDEX "idx_event_user_detail_user_id" ON "public"."event_user_detail" USING btree (
"user_id" "pg_catalog"."int8_ops" ASC NULLS LAST
);
-- ----------------------------
-- Uniques structure for table event_user_detail
-- ----------------------------
ALTER TABLE "public"."event_user_detail" ADD CONSTRAINT "uk_orfh8fkwtk681af38a65everr" UNIQUE ("uuid");
-- ----------------------------
-- Primary Key structure for table event_user_detail
-- ----------------------------
ALTER TABLE "public"."event_user_detail" ADD CONSTRAINT "event_user_detail_pkey" PRIMARY KEY ("id");
-- ----------------------------
-- Foreign Keys structure for table event_user_detail
-- ----------------------------
ALTER TABLE "public"."event_user_detail" ADD CONSTRAINT "fk8bffonom9l1fgcanegl9nm641" FOREIGN KEY ("user_id") REFERENCES "public"."user" ("id") ON DELETE NO ACTION ON UPDATE NO ACTION;
ALTER TABLE "public"."event_user_detail" ADD CONSTRAINT "fk_event_user_detail_guest_list_id" FOREIGN KEY ("guest_list_id") REFERENCES "public"."guest_list" ("id") ON DELETE NO ACTION ON UPDATE NO ACTION;
ALTER TABLE "public"."event_user_detail" ADD CONSTRAINT "fk_event_user_detail_reference_user_id" FOREIGN KEY ("reference_user_id") REFERENCES "public"."user" ("id") ON DELETE NO ACTION ON UPDATE NO ACTION;
ALTER TABLE "public"."event_user_detail" ADD CONSTRAINT "fkisr2ccpapw537ntw4c0mlytcw" FOREIGN KEY ("event_id") REFERENCES "public"."event" ("id") ON DELETE NO ACTION ON UPDATE NO ACTION;

Answer 1

It vastly overestimates how many rows in event_user_detail it is going to find for each row in guest_list (probably because there is some row(s) in guest_list which does have a lot of entries in event_user_detail, just not the ones you are selecting here). The large number of rows it thinks it is going to find makes parallel query look attractive, but the way to get that parallel query is by using the seq scan on guest_list. So that is what it does.
You can disable parallel queries by setting max_parallel_workers_per_gather to 0. If you don't get much benefit from parallel query anyway, this may be a good "real" solution for you. If you do get a benefit from it and don't want to disable it, then you can at least do this just in the current session to see if my theory is correct.

Answer 2

I concur with jjanes' answer, but I want to suggest these additional experiments:
Try to ANALYZE event_user_detail; and see if that improves the estimate.
It could be that random_page_cost is set too high: it is designed for spinning disks and estimates index scans as comparatively expensive. If you lower that parameter, PostgreSQL will be more ready to use index scans.

Answer 3

You can do using CTE:
WITH guest AS (
SELECT id FROM guest_list WHERE event_id=2985739029 LIMIT 1
)
SELECT * FROM event_user_detail WHERE guest_list_id IN (SELECT id FROM guest)
CTE in older versions of postgresql runs like separate queries in one transactions and planned independently but doesn't send results from CTE to client.
You can read about them in the docs. Beware that this behaviour changed since 12 version of postgres and if you want to preserve old you should write it like:
WITH guest AS MATERIALIZED (
SELECT id FROM guest_list WHERE event_id=2985739029 LIMIT 1
)
SELECT * FROM event_user_detail WHERE guest_list_id IN (SELECT id FROM guest)
Also they are very useful to avoid deadlocks in updates:
WITH to_update AS (
SELECT * FROM my_table WHERE condition
ORDER BY id ASC FOR UPDATE
)
UPDATE my_table SET ... WHERE condition;
This would make all rows lock in certain order which prevents deadlocks which possible with plain update queries (e.g. both queries need to modify ids 1 and 2, and with this CTE there cannot be that first lock 1 and wait 2 while second lock 2 and wait for 1).