openGauss学习笔记-274 openGauss性能调优-实际调优案例03-建立合适的索引274.1 现象描述274.2 优化分析

openGauss学习笔记-274 openGauss性能调优-实际调优案例03-建立合适的索引

274.1 现象描述

查询与销售部所有员工的信息：

SELECT staff_id,first_name,last_name,employment_id,state_name,city 
FROM staffs,sections,states,places 
WHERE sections.section_name='Sales' 
AND staffs.section_id = sections.section_id 
AND sections.place_id = places.place_id 
AND places.state_id = states.state_id 
ORDER BY staff_id;

274.2 优化分析

在优化前，没有创建places.place_id和states.state_id索引，执行计划如下：

QUERY PLAN
---------------------------------------------------------------------------------------------------
 Sort  (cost=129.74..131.18 rows=576 width=136)
 Sort Key: staffs.staff_id
 ->  Hash Join  (cost=70.54..103.33 rows=576 width=136)
 Hash Cond: (states.state_id = places.state_id)
 ->  Seq Scan on states  (cost=0.00..22.38 rows=1238 width=36)
 ->  Hash  (cost=69.38..69.38 rows=93 width=108)
 ->  Hash Join  (cost=42.41..69.38 rows=93 width=108)
 Hash Cond: (places.place_id = sections.place_id)
 ->  Seq Scan on places  (cost=0.00..21.67 rows=1167 width=40)
 ->  Hash  (cost=42.21..42.21 rows=16 width=76)
 ->  Hash Join  (cost=24.66..42.21 rows=16 width=76)
 Hash Cond: (staffs.section_id = sections.section_id)
 ->  Seq Scan on staffs  (cost=0.00..15.37 rows=537 width=76)
 ->  Hash  (cost=24.59..24.59 rows=6 width=8)
 ->  Seq Scan on sections  (cost=0.00..24.59 rows=6 width=8)
 Filter: (section_name = 'Sales'::text)
(16 rows)

建议在places.place_id和states.state_id列上建立2个索引，执行计划如下：

QUERY PLAN
-----------------------------------------------------------------------------------------------------------
 Sort  (cost=119.76..121.20 rows=576 width=136)
 Sort Key: staffs.staff_id
 ->  Hash Join  (cost=70.14..93.35 rows=576 width=136)
 Hash Cond: (staffs.section_id = sections.section_id)
 ->  Seq Scan on staffs  (cost=0.00..15.37 rows=537 width=76)
 ->  Hash  (cost=67.43..67.43 rows=217 width=68)
 ->  Nested Loop  (cost=24.66..67.43 rows=217 width=68)
 ->  Hash Join  (cost=24.66..51.06 rows=35 width=40)
 Hash Cond: (places.place_id = sections.place_id)
 ->  Seq Scan on places  (cost=0.00..21.67 rows=1167 width=40)
 ->  Hash  (cost=24.59..24.59 rows=6 width=8)
 ->  Seq Scan on sections  (cost=0.00..24.59 rows=6 width=8)
 Filter: (section_name = 'Sales'::text)
 ->  Index Scan using states_state_id_idx on states  (cost=0.00..0.41 rows=6 width=36)
 Index Cond: (state_id = places.state_id)
(15 rows)

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