Postgresql表膨胀率计算
一、简介
PostgreSQL自带了pgstattuple模块,可用于精确计算表的膨胀率。譬如这里的tuple_percent字段就是元组实际字节占关系总大小的百分比,用1减去该值即为膨胀率。
二、示例一
#插入1000W数据
postgres=#
insert
into
t
select
id,id
from
generate_series(1,10000000)
as
id;
INSERT
0 10000000
#表膨胀系数为0.097
postgres=#
select
*, 1.0 - tuple_len::
numeric
/ table_len
as
bloat
from
pgstattuple(
't'
);
table_len | tuple_count | tuple_len | tuple_percent | dead_tuple_count | dead_tuple_len | dead_tuple_percent | free_space | free_percent | bloat
-----------+-------------+-----------+---------------+------------------+----------------+--------------------+------------+--------------+------------------------
442818560 | 10000001 | 400000040 | 90.33 | 0 | 0 | 0 | 1304976 | 0.29 | 0.09669540499838127833
(1 row)
#占用54055个page
postgres=#
select
*
from
pg_relpages(
't'
);
pg_relpages
-------------
54055
(1 row)
#删除数据
postgres=#
delete
from
t
where
id<>10000000;
DELETE
9999999
#仍然占用54055个page
postgres=#
select
*
from
pg_relpages(
't'
);
pg_relpages
-------------
54055
(1 row)
#膨胀率已经为0.999999
postgres=#
select
*, 1.0 - tuple_len::
numeric
/ table_len
as
bloat
from
pgstattuple(
't'
);
table_len | tuple_count | tuple_len | tuple_percent | dead_tuple_count | dead_tuple_len | dead_tuple_percent | free_space | free_percent | bloat
-----------+-------------+-----------+---------------+------------------+----------------+--------------------+------------+--------------+----------------------------
442818560 | 2 | 80 | 0 | 9999999 | 399999960 | 90.33 | 1304976 | 0.29 | 0.999999819339099065766349
#vacuum表
postgres=# vacuum (verbose,
full
,analyze) t;
INFO: vacuuming
"public.t"
INFO:
"t"
: found 5372225 removable, 2 nonremovable row versions
in
54055 pages
DETAIL: 0 dead row versions cannot be removed yet.
CPU:
user
: 0.89 s, system: 0.00 s, elapsed: 0.89 s.
INFO: analyzing
"public.t"
INFO:
"t"
: scanned 1
of
1 pages, containing 2 live
rows
and
0 dead
rows
; 2
rows
in
sample, 2 estimated total
rows
VACUUM
三、示例二
pg索引膨胀问题---重建索引
\di+ 索引名查看索引大小
发现数据库中很多表的索引大小超过数据大小。由于频繁更新就会带来索引膨胀。
对于大的索引可以采用重建的方式解决。以下两种方法推荐第一种。
方法一:停止应用(这个操作会锁表),重建索引(注:重建完索引名称不变)
sql:reindex index 索引名称
reindex table 表名
方法二:在线建新索引,再把旧索引删除
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