इस क्वेरी को आपके द्वारा अनुसरण किए गए लोगों द्वारा बनाई गई पोस्ट की सूची मिलती है। आप असीमित संख्या में लोगों का अनुसरण कर सकते हैं, लेकिन अधिकांश लोग <1000 अन्य का अनुसरण करते हैं।
क्वेरी की इस शैली के साथ, स्पष्ट अनुकूलन "Post"आईडी को कैश करना होगा , लेकिन दुर्भाग्य से मेरे पास अभी उस समय के लिए समय नहीं है।
EXPLAIN ANALYZE SELECT
"Post"."id",
"Post"."actionId",
"Post"."commentCount",
...
FROM
"Posts" AS "Post"
INNER JOIN "Users" AS "user" ON "Post"."userId" = "user"."id"
LEFT OUTER JOIN "ActivityLogs" AS "activityLog" ON "Post"."activityLogId" = "activityLog"."id"
LEFT OUTER JOIN "WeightLogs" AS "weightLog" ON "Post"."weightLogId" = "weightLog"."id"
LEFT OUTER JOIN "Workouts" AS "workout" ON "Post"."workoutId" = "workout"."id"
LEFT OUTER JOIN "WorkoutLogs" AS "workoutLog" ON "Post"."workoutLogId" = "workoutLog"."id"
LEFT OUTER JOIN "Workouts" AS "workoutLog.workout" ON "workoutLog"."workoutId" = "workoutLog.workout"."id"
WHERE
"Post"."userId" IN (
201486,
1825186,
998608,
340844,
271909,
308218,
341986,
216893,
1917226,
... -- many more
)
AND "Post"."private" IS NULL
ORDER BY
"Post"."createdAt" DESC
LIMIT 10;पैदावार:
Limit (cost=3.01..4555.20 rows=10 width=2601) (actual time=7923.011..7973.138 rows=10 loops=1)
-> Nested Loop Left Join (cost=3.01..9019264.02 rows=19813 width=2601) (actual time=7923.010..7973.133 rows=10 loops=1)
-> Nested Loop Left Join (cost=2.58..8935617.96 rows=19813 width=2376) (actual time=7922.995..7973.063 rows=10 loops=1)
-> Nested Loop Left Join (cost=2.15..8821537.89 rows=19813 width=2315) (actual time=7922.984..7961.868 rows=10 loops=1)
-> Nested Loop Left Join (cost=1.71..8700662.11 rows=19813 width=2090) (actual time=7922.981..7961.846 rows=10 loops=1)
-> Nested Loop Left Join (cost=1.29..8610743.68 rows=19813 width=2021) (actual time=7922.977..7961.816 rows=10 loops=1)
-> Nested Loop (cost=0.86..8498351.81 rows=19813 width=1964) (actual time=7922.972..7960.723 rows=10 loops=1)
-> Index Scan using posts_createdat_public_index on "Posts" "Post" (cost=0.43..8366309.39 rows=20327 width=261) (actual time=7922.869..7960.509 rows=10 loops=1)
Filter: ("userId" = ANY ('{201486,1825186,998608,340844,271909,308218,341986,216893,1917226, ... many more ...}'::integer[]))
Rows Removed by Filter: 218360
-> Index Scan using "Users_pkey" on "Users" "user" (cost=0.43..6.49 rows=1 width=1703) (actual time=0.005..0.006 rows=1 loops=10)
Index Cond: (id = "Post"."userId")
-> Index Scan using "ActivityLogs_pkey" on "ActivityLogs" "activityLog" (cost=0.43..5.66 rows=1 width=57) (actual time=0.107..0.107 rows=0 loops=10)
Index Cond: ("Post"."activityLogId" = id)
-> Index Scan using "WeightLogs_pkey" on "WeightLogs" "weightLog" (cost=0.42..4.53 rows=1 width=69) (actual time=0.001..0.001 rows=0 loops=10)
Index Cond: ("Post"."weightLogId" = id)
-> Index Scan using "Workouts_pkey" on "Workouts" workout (cost=0.43..6.09 rows=1 width=225) (actual time=0.001..0.001 rows=0 loops=10)
Index Cond: ("Post"."workoutId" = id)
-> Index Scan using "WorkoutLogs_pkey" on "WorkoutLogs" "workoutLog" (cost=0.43..5.75 rows=1 width=61) (actual time=1.118..1.118 rows=0 loops=10)
Index Cond: ("Post"."workoutLogId" = id)
-> Index Scan using "Workouts_pkey" on "Workouts" "workoutLog.workout" (cost=0.43..4.21 rows=1 width=225) (actual time=0.004..0.004 rows=0 loops=10)
Index Cond: ("workoutLog"."workoutId" = id)
Total runtime: 7974.524 msयह समय के लिए कैसे अनुकूलित किया जा सकता है?
मेरे पास निम्नलिखित प्रासंगिक सूचकांक हैं:
-- Gets used
CREATE INDEX "posts_createdat_public_index" ON "public"."Posts" USING btree("createdAt" DESC) WHERE "private" IS null;
-- Don't get used
CREATE INDEX "posts_userid_fk_index" ON "public"."Posts" USING btree("userId");
CREATE INDEX "posts_following_index" ON "public"."Posts" USING btree("userId", "createdAt" DESC) WHERE "private" IS null;शायद इसके लिए एक बड़े आंशिक समग्र सूचकांक की आवश्यकता होती है createdAtऔर userIdकहाँ private IS NULL?