【问题标题】:Join large table with small table in postgres with index在带有索引的 postgres 中加入带有小表的大表
【发布时间】:2014-09-19 08:03:14
【问题描述】:

我们有一个包含 9600 万笔抵押贷款的数据库。在这个数据库中,我们有贷款发起时的原始房价。我们想用一个非常简单的房价指数来更新这些房价,我们从互联网上提取为 csv,我将它导入到与抵押贷款相同的数据库中的一个表中。我已经能够加入表格,但速度很慢。我想我没有正确使用索引......这就是表格的样子: 抵押贷款:

CREATE TABLE mydb.mortgageloans
(
  pkrmbloan bigint NOT NULL,
  fkdeal bigint NOT NULL,
  edcode character varying(50) NOT NULL,
  poolcutoffdate character varying(50) NOT NULL,
  recno integer NOT NULL,
  submissiontimestamp timestamp without time zone NOT NULL,
  col1 character varying(10),
  col2 character varying(100),
  country character varying(10),
  col......
  col199 character varying(25)
CONSTRAINT rmb_loan_pkey PRIMARY KEY (pkrmbloan),
  CONSTRAINT fk_rmbloan2deal FOREIGN KEY (fkdeal)
      REFERENCES mydb_data.deal (pkdeal) MATCH SIMPLE
      ON UPDATE NO ACTION ON DELETE CASCADE
)
WITH (
  OIDS=FALSE
);
ALTER TABLE mydb.mortgageloans
  OWNER TO mydb_admin;
GRANT ALL ON TABLE mydb.mortgageloans TO mydb_admin;
GRANT SELECT ON TABLE mydb.mortgageloans TO mydb_addon;

CREATE INDEX idx_rmbloan_edcode_poolcod
  ON mydb.mortgageloans
  USING btree
  (edcode COLLATE pg_catalog."default", poolcutoffdate COLLATE pg_catalog."default");

CREATE INDEX idx_rmbloan_fkdeal
  ON mydb.mortgageloans
  USING btree
  (fkdeal);

CREATE INDEX idx_rmbloan_recno
  ON mydb.mortgageloans
  USING btree
  (recno);

我自己导入的房价指数表。

CREATE TABLE mydb.hpi
(
  period character varying(100),
  au character varying(100),
  be character varying(100),
  ca character varying(100),
  ch character varying(100),
  de character varying(100),
  dk character varying(100),
  es character varying(100),
  fi character varying(100),
  fr character varying(100),
  uk character varying(100),
  ie character varying(100),
  it character varying(100),
  jp character varying(100),
  nl character varying(100),
  no character varying(100),
  nz character varying(100),
  us character varying(100),
  pt character varying(100)
)
WITH (
  OIDS=FALSE
);
ALTER TABLE mydb.hpi
  OWNER TO mydb_admin;

以及根据贷款发起日期(col55)添加原始房价指数的查询

ALTER TABLE mydb.mortgageloans ADD COLUMN OriginalHPI varchar(130);
UPDATE mydb.mortgageloans set OriginalHPI = test.rv
FROM
(
select 
CASE
            WHEN a.country = 'NL'::text THEN c.nl::numeric
            WHEN a.country = 'BE'::text THEN c.be::numeric
            WHEN a.country = 'ES'::text THEN c.es::numeric
            WHEN a.country = 'FR'::text THEN c.fr::numeric
            WHEN a.country = 'IT'::text THEN c.IT::numeric
            WHEN a.country = 'DE'::text THEN c.de::numeric
            WHEN a.country = 'IE'::text THEN c.ie::numeric
            else NULL::numeric
            END AS rv,
 ,a.pkrmbloan
FROM mydb.mortgageloans a
LEFT JOIN mydb_data.hpi c on a.col55 = c.Period
)
 as test
 where test.pkrmbloan = mydb.mortgageloans.pkrmbloan

任何帮助将不胜感激!

最好的问候,

提姆

编辑:添加解释输出

  • 使用略有不同的数据库名称,想先进行匿名化

实际查询:

EXPLAIN
UPDATE edp_data.rmb_loan set OriginalHPI = test.rv
FROM
(
select 
CASE
            WHEN "substring"(a.edcode::text, 5, 2)::text = 'NL'::text THEN c.nl::numeric
            WHEN "substring"(a.edcode::text, 5, 2)::text = 'BE'::text THEN c.be::numeric
            WHEN "substring"(a.edcode::text, 5, 2)::text = 'ES'::text THEN c.es::numeric
            WHEN "substring"(a.edcode::text, 5, 2)::text = 'FR'::text THEN c.fr::numeric
            WHEN "substring"(a.edcode::text, 5, 2)::text = 'IT'::text THEN c.IT::numeric
            WHEN "substring"(a.edcode::text, 5, 2)::text = 'DE'::text THEN c.de::numeric
            WHEN "substring"(a.edcode::text, 5, 2)::text = 'IE'::text THEN c.ie::numeric
            else 12::numeric
            END AS rv,
 a.pkrmbloan, a.fkdeal
FROM edp_data.rmb_loan a
LEFT JOIN edp_data.hpi c on a.ar55 = c.period
)
 as test
 where test.pkrmbloan = edp_data.rmb_loan.pkrmbloan and test.fkdeal = edp_data.rmb_loan.fkdeal;

输出

"Update on rmb_loan  (cost=22.11..60667621.09 rows=342266 width=4090)"
"  ->  Hash Left Join  (cost=22.11..60667621.09 rows=342266 width=4090)"
"        Hash Cond: ((a.ar55)::text = (c.period)::text)"
"        ->  Merge Join  (cost=0.00..60635941.00 rows=341941 width=4049)"
"              Merge Cond: (rmb_loan.pkrmbloan = a.pkrmbloan)"
"              Join Filter: (rmb_loan.fkdeal = a.fkdeal)"
"              ->  Index Scan using rmb_loan_pkey on rmb_loan  (cost=0.00..28746023.33 rows=179651105 width=4014)"
"              ->  Index Scan using rmb_loan_pkey on rmb_loan a  (cost=0.00..28746023.33 rows=179651105 width=51)"
"        ->  Hash  (cost=15.38..15.38 rows=538 width=56)"
"              ->  Seq Scan on hpi c  (cost=0.00..15.38 rows=538 width=56)"

【问题讨论】:

  • 请使用查询的EXPLAIN 输出更新问题。
  • 我做到了,谢谢你的建议:)
  • 我不明白为什么 mydb.mortgageloans 需要在该查询中出现两次,它只是在主键上连接到自身。您可以将 EXPLAIN 扩展为 EXPLAIN (ANALYZE, VERBOSE, BUFFERS) 吗?

标签: postgresql join indexing


【解决方案1】:

我认为您令人困惑的from 子句源于您希望列默认为12 的事实。为避免这种情况,只需在添加列时声明默认值

alter table mydb.mortgageloans
add column OriginalHPI varchar(130) default '12';

update edp_data.rmb_loan a
set OriginalHPI = (
    case substring(a.edcode::text, 5, 2)
        when 'NL' then c.nl
        when 'BE' then c.be
        when 'ES' then c.es
        when 'FR' then c.fr
        when 'IT' then c.IT
        when 'DE' then c.de
        when 'IE' then c.ie
        else 12
    end)::numeric
from edp_data.hpi c
where a.ar55 = c.period

为什么要将case 结果转换为numeric 只是为了将其保存在varchar 列中?

【讨论】:

  • 数据库中的所有列都是varchar(来自另一家公司),所以我想我也需要将它保存为varchar。现在我发现这没有意义。谢谢。我们在抵押贷款表上有一个主键,我可以尝试用它来提高速度吗?现在 9600 万行需要 9 个小时……但也许这正是你得到这么多行和一个连接的结果。谢谢!
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