统计信息准确性校验【绽放吧！GaussDB(DWS)云原生数仓】

   当前OLAP数据库查询性能对客户起着至关重要的作用，而查询性能的好坏之一在于统计信息的准确性，本文针对统计信息的准确性给出校验方法，供大家参考。

一：创建基表并收集统计信息

1，创建基表导入数据

drop table if exists tmptable;
create table  tmptable(
i_int int,
i_text text
);

insert into tmptable values(generate_series(1,10),'testabc');
insert into tmptable values(generate_series(1,10),'testbcd');
insert into tmptable values(generate_series(10,20),'testbcd');
insert into tmptable values(generate_series(10,20),'testcde');

2，创建表达式统计信息

create  STATISTICS s1 on  btrim(i_text,'test') from tmptable;

3，表analyze

analyze tmptable;

4,查看统计信息

     表reltuples

     select reltuples,relpages from pg_class where relname='tmptable' ;

   列统计信息

   select tablename,n_distinct,most_common_vals,most_common_freqs from pg_stats where tablename='tmptable';

  表达式统计信息

   select tablename,statistics_name,expr, n_distinct,most_common_vals, most_common_freqs   from pg_stats_ext_exprs where tablename='tmptable';

二：校验统计信息方式如下：

1，校验列的distinct

--------------------------------------------------列的distinct 估算值校验--------------------------------------------------

create or replace  function test_distinct(in tablename1 text,in attname1 text)
returns table(a_distinct numeric,e_distinct numeric,percent numeric)
as $$ 
declare
 a numeric;
 b numeric;
 sql_1 text;
BEGIN
sql_1:='select n_distinct from pg_stats where tablename = '''|| tablename1 || ''' and attname ='''|| attname1 || ''';';
EXECUTE IMMEDIATE sql_1 into e_distinct;
sql_1:='select count(distinct '||attname1||') from '||tablename1;
EXECUTE IMMEDIATE sql_1 into a;
sql_1:='select count(*) from '||tablename1||' where  '||attname1||' is not null ';
EXECUTE IMMEDIATE sql_1 into  b ;
if e_distinct<0 then
a_distinct =a/b;
ELSE
a_distinct=a;
end if;
percent=a_distinct/e_distinct;
return query select a_distinct,e_distinct,percent;
end;
$$
LANGUAGE plpgsql;

--参数：表名，列名
--返回 ：真实值，估算值，准确率（越接近1表示越准确）
select test_distinct('tmptable','i_int');

2，校验mcf值估算

--------------------------------------mcf值估算校验---------------------------------- 

3，表达式统计信息distinct值估算

-------------------------表达式统计信息distinct准确性计算-------------------------------

create or replace  function test_exp_distinct(in tablename1 text,in statistics_name1 text)
returns table(a_distinct numeric,e_distinct numeric,percent numeric)
as $$ 
declare
 a numeric;
 b numeric;
 sql_1 text;
 expr1 text;
 expr2 text;
BEGIN
expr2:='select expr  from pg_stats_ext_exprs where tablename='''|| tablename1 || ''' and statistics_name ='''|| statistics_name1 || ''' ;';
EXECUTE IMMEDIATE expr2 into expr1;
sql_1:='select n_distinct from pg_stats_ext_exprs where tablename = '''|| tablename1 || ''' and statistics_name ='''|| statistics_name1 || ''';';
EXECUTE IMMEDIATE sql_1 into e_distinct;
sql_1:='select count(distinct '||expr1||') from '||tablename1;
EXECUTE IMMEDIATE sql_1 into a;
sql_1:='select count(*) from '||tablename1||' where  '||expr1||' is not null ';
EXECUTE IMMEDIATE sql_1 into  b ;
if e_distinct<0 then
a_distinct =a/b;
ELSE
a_distinct=a;
end if;
percent=a_distinct/e_distinct;
return query select a_distinct,e_distinct,percent;
end;
$$
LANGUAGE plpgsql;

 
--参数：表名，表达式统计信息名
--出参，实际值，估算值，准确率（越接近1表示越准确）
select test_exp_distinct('tmptable','s1');

4，校验表达式统计信息mcf估算

 我正在参加【有奖征文 第27期】绽放吧！GaussDB(DWS)云原生数仓！https://bbs.huaweicloud.com/blogs/412962