小编Gar*_*ett的帖子

使用大 IN 优化 Postgres 查询

此查询获取您关注的人创建的帖子列表。您可以关注无限数量的人,但大多数人关注 < 1000 人。

使用这种查询方式,明显的优化是缓存"Post"id,但不幸的是我现在没有时间这样做。

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 …
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postgresql performance index optimization postgresql-performance

51
推荐指数
2
解决办法
7万
查看次数

如何使用反连接加速查询

我有一个包含 2 个反连接(UserEmails = 1M+ 行Subscriptions = <100k 行)、2 个条件和一个排序的查询。我为2个条件+排序创建了索引,这将查询速度提高了50%。两个反连接都有索引。但是,查询太慢(生产时 4 秒)。

这是查询:

SELECT
    "Users"."firstName",
    "Users"."lastName",
    "Users"."email",
    "Users"."id"
FROM
    "Users"
WHERE
    NOT EXISTS (
        SELECT
            1
        FROM
            "UserEmails"
        WHERE
            "UserEmails"."userId" = "Users". ID
    )
AND NOT EXISTS (
    SELECT
        1
    FROM
        "Subscriptions"
    WHERE
        "Subscriptions"."userId" = "Users". ID
)
AND "isEmailVerified" = TRUE
AND "emailUnsubscribeDate" IS NULL
ORDER BY
    "Users"."createdAt" DESC
LIMIT 100
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这是解释:

Limit  (cost=1.28..177.77 rows=100 width=49) (actual time=6171.121..6171.850 rows=100 loops=1)
  ->  Nested Loop Anti Join …
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postgresql performance index join query-performance

9
推荐指数
2
解决办法
8658
查看次数