按日期范围划分PostgreSQL扫描所有分区

时间:2019-04-11 14:10:54

标签: postgresql database-partitioning postgresql-11

我每个月都有一个分区的表(时间戳列)。

查询数据时,解释说明当我使用日期函数构造日期时,正在查询所有分区,而当我使用硬编码日期时,只会扫描目标分区。

所以当这样查询时:

SELECT * FROM vw_comments 
      WHERE created >= '2019-4-1'
        AND created <= '2019-4-30'
limit 100;

它仅扫描1个分区(1个月,很好!) 但是为了使其更具动态性,我传入了类似的内容(简化)

SELECT * FROM vw_comments 
      WHERE created >= (date_trunc('month', now()))::timestamp
        AND created <= (date_trunc('month', now() + interval '1 month') - interval '1 day') ::timestamp
limit 100;

上述日期方法中的日期与第一个查询的日期完全相同,但EXPLAIN显示所有分区均被扫描。

如何使其工作?

编辑:添加表定义并说明

应@a_horse_with_no_name的要求,我添加了实际表并进行了说明。这样做之后,我发现了更多的东西:进行联接时,动态日期不起作用。因此,在下面的查询中省略“用户”表可以使动态日期起作用。

CREATE TABLE public.comments
(
    comment_id integer NOT NULL GENERATED BY DEFAULT AS IDENTITY ( INCREMENT 1 START 1 MINVALUE 1 MAXVALUE 2147483647 CACHE 1 ),
    comment_id integer NOT NULL GENERATED BY DEFAULT AS IDENTITY,
    from_user_id integer NOT NULL,
    fk_topic_id integer NOT NULL,
    comment_text text COLLATE pg_catalog."default",
    parent_comment_id integer,
    created timestamp without time zone NOT NULL,
    comment_type integer NOT NULL DEFAULT 0,
    CONSTRAINT comments_pkey PRIMARY KEY (comment_id, created)
) PARTITION BY RANGE (created) 
WITH (
    OIDS = FALSE
)
TABLESPACE pg_default;

ALTER TABLE public.comments
    OWNER to soichat;

CREATE INDEX ix_comments_comment_id
    ON public.comments USING btree
    (comment_id DESC)
    TABLESPACE pg_default;

CREATE INDEX ix_comments_created
    ON public.comments USING btree
    (created DESC)
    TABLESPACE pg_default;

CREATE INDEX ix_comments_fk_topic_id
    ON public.comments USING btree
    (fk_topic_id)
    TABLESPACE pg_default;

CREATE INDEX ix_comments_from_user_id
    ON public.comments USING btree
    (from_user_id)
    TABLESPACE pg_default;

CREATE INDEX ix_comments_parent_comment_id
    ON public.comments USING btree
    (parent_comment_id)
    TABLESPACE pg_default;

-- Partitions SQL

CREATE TABLE public.comments_2019_2 PARTITION OF public.ix_comments_parent_comment_id
    FOR VALUES FROM ('2019-02-01 00:00:00') TO ('2019-03-01 00:00:00');

CREATE TABLE public.comments_2019_3 PARTITION OF public.ix_comments_parent_comment_id
    FOR VALUES FROM ('2019-03-01 00:00:00') TO ('2019-04-01 00:00:00');

CREATE TABLE public.comments_2019_4 PARTITION OF public.ix_comments_parent_comment_id
    FOR VALUES FROM ('2019-04-01 00:00:00') TO ('2019-05-01 00:00:00');

CREATE TABLE public.comments_2019_5 PARTITION OF public.ix_comments_parent_comment_id
    FOR VALUES FROM ('2019-05-01 00:00:00') TO ('2019-06-01 00:00:00');

查询:

explain (analyse, buffers)
 SELECT comments.comment_id,
    comments.from_user_id,
    comments.fk_topic_id,
    comments.comment_text,
    comments.parent_comment_id,
    comments.created,
    users.user_name,
    users.picture_path
   FROM comments
     LEFT JOIN users ON comments.from_user_id = users.user_id
    WHERE comments.created >= (date_trunc('month', now()))::timestamp
        AND comments.created <= (date_trunc('month', now() + interval '1 month') - interval '1 day') ::timestamp
limit 100;

explain (analyze, buffers)

Limit  (cost=1.20..11.93 rows=100 width=126) (actual time=1.441..1.865 rows=100 loops=1)
  Buffers: shared hit=499
  ->  Merge Left Join  (cost=1.20..753901.07 rows=7028011 width=126) (actual time=1.440..1.778 rows=100 loops=1)
        Merge Cond: (comments_2019_2.from_user_id = users.user_id)
        Buffers: shared hit=499
        ->  Merge Append  (cost=0.92..665812.08 rows=7028011 width=51) (actual time=0.017..0.259 rows=100 loops=1)
              Sort Key: comments_2019_2.from_user_id
              Buffers: shared hit=15
              ->  Index Scan using comments_2019_2_from_user_id_idx on comments_2019_2  (cost=0.15..58.95 rows=5 width=56) (actual time=0.002..0.003 rows=0 loops=1)
                    Filter: ((created >= (date_trunc('month'::text, now()))::timestamp without time zone) AND (created <= ((date_trunc('month'::text, (now() + '1 mon'::interval)) - '1 day'::interval))::timestamp without time zone))
                    Buffers: shared hit=1
              ->  Index Scan using comments_2019_3_from_user_id_idx on comments_2019_3  (cost=0.15..9790.24 rows=1 width=51) (actual time=0.002..0.003 rows=0 loops=1)
                    Filter: ((created >= (date_trunc('month'::text, now()))::timestamp without time zone) AND (created <= ((date_trunc('month'::text, (now() + '1 mon'::interval)) - '1 day'::interval))::timestamp without time zone))
                    Buffers: shared hit=1
              ->  Index Scan using comments_2019_4_from_user_id_idx on comments_2019_4  (cost=0.43..550483.74 rows=7028000 width=51) (actual time=0.010..0.162 rows=100 loops=1)
                    Filter: ((created >= (date_trunc('month'::text, now()))::timestamp without time zone) AND (created <= ((date_trunc('month'::text, (now() + '1 mon'::interval)) - '1 day'::interval))::timestamp without time zone))
                    Buffers: shared hit=12
              ->  Index Scan using comments_2019_5_from_user_id_idx on comments_2019_5  (cost=0.15..58.95 rows=5 width=56) (actual time=0.001..0.002 rows=0 loops=1)
                    Filter: ((created >= (date_trunc('month'::text, now()))::timestamp without time zone) AND (created <= ((date_trunc('month'::text, (now() + '1 mon'::interval)) - '1 day'::interval))::timestamp without time zone))
                    Buffers: shared hit=1
        ->  Index Scan using pk_users on users  (cost=0.28..234.83 rows=1606 width=79) (actual time=0.005..0.870 rows=1395 loops=1)
              Buffers: shared hit=484
Planning Time: 0.360 ms
Execution Time: 1.942 ms

1 个答案:

答案 0 :(得分:1)

找到了一个不错的答案here

因为计划者无法知道now()在运行时将产生什么时间,所以它会选择安全选项并扫描所有分区。因为我不想为每个分区配置新功能,所以我去了一个创建日期的不可变函数:

new Date(1993,8,1,0,0,0,0)

所以现在而不是使用now(),我只将这个函数用于事务中日期不更改的函数:

CREATE FUNCTION now_immutable()
  RETURNS timestamp AS
$func$
SELECT now() AT TIME ZONE current_setting('TimeZone')
$func$  LANGUAGE sql IMMUTABLE;

我还创建了另一个方便的函数,可从代码months_back调用:

explain (analyse, buffers)
 SELECT comments.comment_id,
    comments.from_user_id,
    comments.fk_topic_id,
    comments.comment_text,
    comments.parent_comment_id,
    comments.created,
    users.user_name,
    users.picture_path
   FROM comments
     LEFT JOIN users ON comments.from_user_id = users.user_id
    WHERE comments.created >= (date_trunc('month', now_immutable()))
        AND comments.created <= (date_trunc('month', now_immutable() + interval '1 month') - interval '1 day') 
limit 100;

当每月进行分区时,这很方便,因为如果您知道第一个注释是3个月前,而您只能调用months_back(3),而postgres将仅搜索3个分区,则传递0将为您提供本月的开始。 / p>

希望这对某人有帮助。