为什么真空分析改变查询计划而分析没有？

Question

我想在Postgres中利用仅索引扫描的强大功能,并尝试使用一个表:

CREATE TABLE dest.contexts
(
  id integer NOT NULL,
  phrase_id integer NOT NULL,
  lang character varying(5) NOT NULL,
  ranking_value double precision,
  index_min integer,
  index_max integer,
  case_sensitive boolean,
  is_enabled boolean,
  is_to_sync boolean NOT NULL DEFAULT true
);

insert into dest.contexts select * from source.contexts;

alter table dest.contexts
  add constraint pk_contexts primary key (id, phrase_id, lang);

 CREATE INDEX idx_contexts_
  ON dest.contexts
  USING btree
  (id, is_enabled, lang, phrase_id, ranking_value, index_min, index_max, case_sensitive);

索引涵盖了我想在下一个查询中使用的所有列:

explain analyze
select ranking_value, index_min, index_max, case_sensitive
from dest.contexts
where id = 456 and is_enabled

我在创建后立即检查计划:

Bitmap Heap Scan on contexts  (cost=4.41..31.46 rows=12 width=17) (actual time=0.045..0.045 rows=0 loops=1)
  Recheck Cond: (id = 456)
  Filter: is_enabled
  ->  Bitmap Index Scan on idx_contexts_  (cost=0.00..4.40 rows=12 width=0) (actual time=0.038..0.038 rows=0 loops=1)
        Index Cond: ((id = 456) AND (is_enabled = true))
Planning time: 0.631 ms
Execution time: 0.093 ms

这很奇怪,但还行......

在几秒钟内,它变为另一个(autovacuum？)

Index Scan using pk_contexts on contexts  (cost=0.28..17.93 rows=6 width=17) (actual time=0.027..0.027 rows=0 loops=1)
  Index Cond: (id = 456)
  Filter: is_enabled
Planning time: 0.185 ms
Execution time: 0.070 ms

我尝试强制它使用仅索引扫描:

analyze dest.contexts

但它没有改变任何东西.然后我做

vacuum verbose analyze dest.contexts;

INFO:  vacuuming "dest.contexts"
INFO:  index "pk_contexts" now contains 4845 row versions in 21 pages
DETAIL:  0 index row versions were removed.
0 index pages have been deleted, 0 are currently reusable.
CPU 0.00s/0.00u sec elapsed 0.00 sec.
INFO:  index "idx_contexts_" now contains 4845 row versions in 37 pages
DETAIL:  0 index row versions were removed.
0 index pages have been deleted, 0 are currently reusable.
CPU 0.00s/0.00u sec elapsed 0.00 sec.
INFO:  "contexts": found 0 removable, 4845 nonremovable row versions in 41 out of 41 pages
DETAIL:  0 dead row versions cannot be removed yet.
There were 0 unused item pointers.
0 pages are entirely empty.
CPU 0.00s/0.00u sec elapsed 0.00 sec.
INFO:  analyzing "dest.contexts"
INFO:  "contexts": scanned 41 of 41 pages, containing 4845 live rows and 0 dead rows; 4845 rows in sample, 4845 estimated total rows

在这里,我终于得到了我想要的东西:

Index Only Scan using idx_contexts_ on contexts  (cost=0.28..4.40 rows=6 width=17) (actual time=0.014..0.014 rows=0 loops=1)
  Index Cond: ((id = 456) AND (is_enabled = true))
  Filter: is_enabled
  Heap Fetches: 0
Planning time: 0.247 ms
Execution time: 0.052 ms

所以这里是问题:

1. 为什么不analyze教它使用大的"全覆盖"指数？
2. 为什么这样vacuum analyze做？
3. 我的桌子从头开始用一个大插件填充.为什么vacuum要做任何事情？在我看来,那里没有任何真空吸尘器.

Answer 1

分析负责收集统计信息，分析对查询计划的选择和计划成本有影响。

索引不包含有关元组的可见性信息。因此，尽管 select 中的所有列都在索引中，但读取数据页和对结果集进行过滤也适用。如果所有元组在页面中可见，Postgres不需要额外的过滤操作。Postgres 使用可见性映射 (vm) 来实现这一点。

Vacuum 在回收死元组时使用并更新可见性图。因此，如果可能的话，vacuum 会更改查询计划以使用仅索引扫描。

https://www.postgresql.org/docs/9.6/static/sql-vacuum.html

https://www.postgresql.org/docs/9.6/static/storage-vm.html