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本篇內容主要講解“PostgreSQL 中不同數據類型對查詢性能的影響有哪些”，感興趣的朋友不妨來看看。本文介紹的方法操作簡單快捷，實用性強。下面就讓丸趣 TV 小編來帶大家學習“PostgreSQL 中不同數據類型對查詢性能的影響有哪些”吧!
容量
數據列占用空間大小
[local]:5432 pg12@testdb=# SELECT pg_column_size(SMALLINT 1),pg_column_size(INT4 1), pg_column_size(NUMERIC(6,0) 1 ),pg_column_size(FLOAT 1
pg_column_size | pg_column_size | pg_column_size | pg_column_size
----------------+----------------+----------------+----------------
2 | 4 | 8 | 8創建數據表，0 和 1 的數據值各插入 100w 行，查看數據表的占用空間大小。
numeric
[local]:5432 pg12@testdb=# create table t_numeric(id numeric);
CREATE TABLE
[local]:5432 pg12@testdb=#
[local]:5432 pg12@testdb=# insert into t_numeric select 0 from generate_series(1,1000000);
INSERT 0 1000000
[local]:5432 pg12@testdb=# insert into t_numeric select 1 from generate_series(1,1000000);
INSERT 0 1000000
[local]:5432 pg12@testdb=# select pg_size_pretty(pg_relation_size( t_numeric
pg_size_pretty
----------------
69 MB
(1 row)float
[local]:5432 pg12@testdb=# create table t_float(id int);
CREATE TABLE
[local]:5432 pg12@testdb=#
[local]:5432 pg12@testdb=# insert into t_float select 0 from generate_series(1,1000000);
INSERT 0 1000000
[local]:5432 pg12@testdb=# insert into t_float select 1 from generate_series(1,1000000);
INSERT 0 1000000
[local]:5432 pg12@testdb=#
[local]:5432 pg12@testdb=# select pg_size_pretty(pg_relation_size( t_float
pg_size_pretty
----------------
69 MB
(1 row)
[local]:5432 pg12@testdb=#int
[local]:5432 pg12@testdb=# create table t_int(id int);
CREATE TABLE
[local]:5432 pg12@testdb=#
[local]:5432 pg12@testdb=# insert into t_int select 0 from generate_series(1,1000000);
INSERT 0 1000000
[local]:5432 pg12@testdb=# insert into t_int select 1 from generate_series(1,1000000);
INSERT 0 1000000
[local]:5432 pg12@testdb=# select pg_size_pretty(pg_relation_size( t_int
pg_size_pretty
----------------
69 MB
(1 row)smallint
[local]:5432 pg12@testdb=# create table t_smallint(id smallint);
CREATE TABLE
[local]:5432 pg12@testdb=#
[local]:5432 pg12@testdb=# insert into t_smallint select 0 from generate_series(1,1000000);
INSERT 0 1000000
[local]:5432 pg12@testdb=# insert into t_smallint select 1 from generate_series(1,1000000);
INSERT 0 1000000
[local]:5432 pg12@testdb=#
[local]:5432 pg12@testdb=# select pg_size_pretty(pg_relation_size( t_smallint
pg_size_pretty
----------------
69 MB
(1 row)boolean
[local]:5432 pg12@testdb=# create table t_bool(id boolean);
CREATE TABLE
[local]:5432 pg12@testdb=# insert into t_bool select 0::boolean from generate_series(1,1000000);
INSERT 0 1000000
[local]:5432 pg12@testdb=# insert into t_bool select 1::boolean from generate_series(1,1000000);
INSERT 0 1000000
[local]:5432 pg12@testdb=#
[local]:5432 pg12@testdb=# select pg_size_pretty(pg_relation_size( t_bool
pg_size_pretty
----------------
69 MB
(1 row)可以看到，四種數據類型占用的空間都是 69 MB。
查詢性能
不加條件，全表掃描
-- 禁用并行
[local]:5432 pg12@testdb=# SET max_parallel_workers_per_gather = 0;
[local]:5432 pg12@testdb=# explain (analyze,verbose,buffers) select count(*) from t_numeric;
QUERY PLAN
----------------------------------------------------------------------------------------------------------------------------------
Aggregate (cost=33850.00..33850.01 rows=1 width=8) (actual time=478.196..478.196 rows=1 loops=1)
Output: count(*)
Buffers: shared hit=8850
- Seq Scan on public.t_numeric (cost=0.00..28850.00 rows=2000000 width=0) (actual time=0.053..255.949 rows=2000000 loops=1)
Output: id
Buffers: shared hit=8850
Planning Time: 0.716 ms
Execution Time: 478.280 ms
(8 rows)
[local]:5432 pg12@testdb=# explain (analyze,verbose,buffers) select count(*) from t_float;
QUERY PLAN
--------------------------------------------------------------------------------------------------------------------------------
Aggregate (cost=33850.00..33850.01 rows=1 width=8) (actual time=421.919..421.919 rows=1 loops=1)
Output: count(*)
Buffers: shared hit=8850
- Seq Scan on public.t_float (cost=0.00..28850.00 rows=2000000 width=0) (actual time=0.010..222.624 rows=2000000 loops=1)
Output: id
Buffers: shared hit=8850
Planning Time: 0.231 ms
Execution Time: 421.948 ms
(8 rows)
[local]:5432 pg12@testdb=# explain (analyze,verbose,buffers) select count(*) from t_int;
QUERY PLAN
------------------------------------------------------------------------------------------------------------------------------
Aggregate (cost=33850.00..33850.01 rows=1 width=8) (actual time=440.328..440.328 rows=1 loops=1)
Output: count(*)
Buffers: shared hit=8850
- Seq Scan on public.t_int (cost=0.00..28850.00 rows=2000000 width=0) (actual time=0.011..236.078 rows=2000000 loops=1)
Output: id
Buffers: shared hit=8850
Planning Time: 0.208 ms
Execution Time: 440.359 ms
(8 rows)
[local]:5432 pg12@testdb=# explain (analyze,verbose,buffers) select count(*) from t_smallint;
QUERY PLAN
-----------------------------------------------------------------------------------------------------------------------------------
Aggregate (cost=33850.00..33850.01 rows=1 width=8) (actual time=439.007..439.007 rows=1 loops=1)
Output: count(*)
Buffers: shared hit=8850
- Seq Scan on public.t_smallint (cost=0.00..28850.00 rows=2000000 width=0) (actual time=0.043..232.069 rows=2000000 loops=1)
Output: id
Buffers: shared hit=8850
Planning Time: 0.553 ms
Execution Time: 439.081 ms
(8 rows)
[local]:5432 pg12@testdb=# explain (analyze,verbose,buffers) select count(*) from t_bool;
QUERY PLAN
-------------------------------------------------------------------------------------------------------------------------------
Aggregate (cost=33850.00..33850.01 rows=1 width=8) (actual time=430.800..430.800 rows=1 loops=1)
Output: count(*)
Buffers: shared hit=8850
- Seq Scan on public.t_bool (cost=0.00..28850.00 rows=2000000 width=0) (actual time=0.010..230.333 rows=2000000 loops=1)
Output: id
Buffers: shared hit=8850
Planning Time: 0.224 ms
Execution Time: 430.831 ms
(8 rows)
[local]:5432 pg12@testdb=#不帶條件全表掃描，時間相差不大，執行時長最大的是 numeric 類型。
添加查詢條件，全表掃描
[local]:5432 pg12@testdb=# explain (analyze,verbose,buffers) select count(*) from t_numeric where id = 0 ::numeric;
lain (analyze,verbose,buffers) select count(*) from t_bool where id = 0::boolean;
QUERY PLAN
----------------------------------------------------------------------------------------------------------------------------------
Aggregate (cost=36358.67..36358.68 rows=1 width=8) (actual time=723.356..723.357 rows=1 loops=1)
Output: count(*)
Buffers: shared hit=8850
- Seq Scan on public.t_numeric (cost=0.00..33850.00 rows=1003467 width=0) (actual time=0.057..610.907 rows=1000000 loops=1)
Output: id
Filter: (t_numeric.id = 0 ::numeric)
Rows Removed by Filter: 1000000
Buffers: shared hit=8850
Planning Time: 1.901 ms
Execution Time: 723.449 ms
(10 rows)
[local]:5432 pg12@testdb=# explain (analyze,verbose,buffers) select count(*) from t_float where id = 0 ::numeric;
QUERY PLAN
------------------------------------------------------------------------------------------------------------------------------
Aggregate (cost=38875.00..38875.01 rows=1 width=8) (actual time=827.686..827.687 rows=1 loops=1)
Output: count(*)
Buffers: shared hit=8850
- Seq Scan on public.t_float (cost=0.00..38850.00 rows=10000 width=0) (actual time=0.015..725.737 rows=1000000 loops=1)
Output: id
Filter: ((t_float.id)::numeric = 0 ::numeric)
Rows Removed by Filter: 1000000
Buffers: shared hit=8850
Planning Time: 0.234 ms
Execution Time: 827.720 ms
(10 rows)
[local]:5432 pg12@testdb=# explain (analyze,verbose,buffers) select count(*) from t_int where id = 0;
QUERY PLAN
-----------------------------------------------------------------------------------------------------------------------------
Aggregate (cost=36329.50..36329.51 rows=1 width=8) (actual time=434.067..434.067 rows=1 loops=1)
Output: count(*)
Buffers: shared hit=8850
- Seq Scan on public.t_int (cost=0.00..33850.00 rows=991800 width=0) (actual time=0.014..333.883 rows=1000000 loops=1)
Output: id
Filter: (t_int.id = 0)
Rows Removed by Filter: 1000000
Buffers: shared hit=8850
Planning Time: 0.295 ms
Execution Time: 434.101 ms
(10 rows)
[local]:5432 pg12@testdb=# explain (analyze,verbose,buffers) select count(*) from t_smallint where id = 0;
QUERY PLAN
-----------------------------------------------------------------------------------------------------------------------------------
Aggregate (cost=36354.50..36354.51 rows=1 width=8) (actual time=486.466..486.466 rows=1 loops=1)
Output: count(*)
Buffers: shared hit=8850
- Seq Scan on public.t_smallint (cost=0.00..33850.00 rows=1001800 width=0) (actual time=0.053..368.184 rows=1000000 loops=1)
Output: id
Filter: (t_smallint.id = 0)
Rows Removed by Filter: 1000000
Buffers: shared hit=8850
Planning Time: 1.396 ms
Execution Time: 486.554 ms
(10 rows)
[local]:5432 pg12@testdb=# explain (analyze,verbose,buffers) select count(*) from t_bool where id = 0::boolean;
QUERY PLAN
-------------------------------------------------------------------------------------------------------------------------------
Aggregate (cost=31356.67..31356.68 rows=1 width=8) (actual time=416.510..416.510 rows=1 loops=1)
Output: count(*)
Buffers: shared hit=8850
- Seq Scan on public.t_bool (cost=0.00..28850.00 rows=1002667 width=0) (actual time=0.014..316.188 rows=1000000 loops=1)
Output: id
Filter: (NOT t_bool.id)
Rows Removed by Filter: 1000000
Buffers: shared hit=8850
Planning Time: 0.261 ms
Execution Time: 416.551 ms
(10 rows)
[local]:5432 pg12@testdb=#存在查詢條件的情況下，由于解析表達式的代價不同（bool int numeric float），因此時間相差較大，時長最大的是 float 類型，時間接近 bool 類型的 2 倍。
創建索引，全索引掃描
禁用全表掃描，使用全索引掃描
[local]:5432 pg12@testdb=# explain (analyze,verbose,buffers) select count(*) from t_numeric where id = 0 ::numeric;
QUERY PLAN
----------------------------------------------------------------------------------------------------------------------------------------------------------------
Aggregate (cost=35541.77..35541.78 rows=1 width=8) (actual time=594.984..594.984 rows=1 loops=1)
Output: count(*)
Buffers: shared hit=7160
- Index Only Scan using idx_t_numeric_id on public.t_numeric (cost=0.43..33033.10 rows=1003467 width=0) (actual time=0.269..482.525 rows=1000000 loops=1)
Output: id
Index Cond: (t_numeric.id = 0 ::numeric)
Heap Fetches: 1000000
Buffers: shared hit=7160
Planning Time: 1.392 ms
Execution Time: 595.253 ms
(10 rows)
[local]:5432 pg12@testdb=# explain (analyze,verbose,buffers) select count(*) from t_float where id = 0 ::numeric;
QUERY PLAN
-----------------------------------------------------------------------------------------------------------------------------------------------------------
Aggregate (cost=70854.43..70854.44 rows=1 width=8) (actual time=1337.093..1337.094 rows=1 loops=1)
Output: count(*)
Buffers: shared hit=14317
- Index Only Scan using idx_t_float_id on public.t_float (cost=0.43..70829.43 rows=10000 width=0) (actual time=0.037..1233.730 rows=1000000 loops=1)
Output: id
Filter: ((t_float.id)::numeric = 0 ::numeric)
Rows Removed by Filter: 1000000
Heap Fetches: 2000000
Buffers: shared hit=14317
Planning Time: 0.293 ms
Execution Time: 1337.168 ms
(11 rows)
[local]:5432 pg12@testdb=# explain (analyze,verbose,buffers) select count(*) from t_int where id = 0;
QUERY PLAN
-------------------------------------------------------------------------------------------------------------------------------------------------------
Aggregate (cost=35128.43..35128.44 rows=1 width=8) (actual time=526.942..526.943 rows=1 loops=1)
Output: count(*)
Buffers: shared hit=7160
- Index Only Scan using idx_t_int_id on public.t_int (cost=0.43..32648.93 rows=991800 width=0) (actual time=0.035..414.797 rows=1000000 loops=1)
Output: id
Index Cond: (t_int.id = 0)
Heap Fetches: 1000000
Buffers: shared hit=7160
Planning Time: 0.245 ms
Execution Time: 526.979 ms
(10 rows)
[local]:5432 pg12@testdb=# explain (analyze,verbose,buffers) select count(*) from t_smallint where id = 0;
QUERY PLAN
------------------------------------------------------------------------------------------------------------------------------------------------------------------
Aggregate (cost=35480.43..35480.44 rows=1 width=8) (actual time=551.394..551.394 rows=1 loops=1)
Output: count(*)
Buffers: shared hit=4428 read=2735
- Index Only Scan using idx_t_smallint_id on public.t_smallint (cost=0.43..32975.93 rows=1001800 width=0) (actual time=0.459..438.992 rows=1000000 loops=1)
Output: id
Index Cond: (t_smallint.id = 0)
Heap Fetches: 1000000
Buffers: shared hit=4428 read=2735
Planning Time: 1.889 ms
Execution Time: 551.499 ms
(10 rows)
[local]:5432 pg12@testdb=# explain (analyze,verbose,buffers) select count(*) from t_bool where id = 0::boolean;
QUERY PLAN
----------------------------------------------------------------------------------------------------------------------------------------------------------
Aggregate (cost=35513.77..35513.78 rows=1 width=8) (actual time=497.886..497.886 rows=1 loops=1)
Output: count(*)
Buffers: shared hit=7160
- Index Only Scan using idx_t_bool_id on public.t_bool (cost=0.43..33007.10 rows=1002667 width=0) (actual time=0.035..393.653 rows=1000000 loops=1)
Output: id
Index Cond: (t_bool.id = false)
Heap Fetches: 1000000
Buffers: shared hit=7160
Planning Time: 0.250 ms
Execution Time: 497.922 ms
(10 rows)
[local]:5432 pg12@testdb=#走全索引掃描，執行時長最長的仍是 float 類型，其他三種類型則相差不大，numeric 的性能相較全表掃描有明顯提升（595ms vs 723ms）。
壓力測試
使用 pgbench 進行壓力測試，numeric/float/int 三種類型，各插入 100w 數據
drop table t_big_numeric;
create table t_big_numeric(id numeric);
insert into t_big_numeric select 0 from generate_series(1,1000000);
drop table t_big_float;
create table t_big_float(id int);
insert into t_big_float select 0 from generate_series(1,1000000);
drop table t_big_int;
create table t_big_int(id int);
insert into t_big_int select 0 from generate_series(1,1000000);測試結果
[pg12@localhost test]$ pgbench -C -f ./select_numeric.sql --time=120 --client=8 --jobs=2 -d testdb
transaction type: ./select_numeric.sql
scaling factor: 1
query mode: simple
number of clients: 8
number of threads: 2
duration: 120 s
number of transactions actually processed: 1254
latency average = 768.659 ms
tps = 10.407739 (including connections establishing)
tps = 10.906626 (excluding connections establishing)
[pg12@localhost test]$
[pg12@localhost test]$ pgbench -C -f ./select_float.sql --time=120 --client=8 --jobs=2 -d testdb
transaction type: ./select_float.sql
scaling factor: 1
query mode: simple
number of clients: 8
number of threads: 2
duration: 120 s
number of transactions actually processed: 2167
latency average = 444.006 ms
tps = 18.017778 (including connections establishing)
tps = 19.461350 (excluding connections establishing)
[pg12@localhost test]$ cat select_float.sql
\set id random(1,1000000)
select * from t_big_float where id = :id;
[pg12@localhost test]$
[pg12@localhost test]$ pgbench -C -f ./select_int.sql --time=120 --client=8 --jobs=2 -d testdb
transaction type: ./select_int.sql
scaling factor: 1
query mode: simple
number of clients: 8
number of threads: 2
duration: 120 s
number of transactions actually processed: 2184
latency average = 440.271 ms
tps = 18.170626 (including connections establishing)
tps = 19.658996 (excluding connections establishing)
[pg12@localhost test]$到此，相信大家對“PostgreSQL 中不同數據類型對查詢性能的影響有哪些”有了更深的了解，不妨來實際操作一番吧！這里是丸趣 TV 網站，更多相關內容可以進入相關頻道進行查詢，關注我們，繼續學習！
正文完
