• PostgreSQL和PPAS的分区表及多种条件下的性能体现一


    因某项目测了PPAS和PostgreSQL的分区表在where条件里按分区键、函数、子查询等11中不同情况时的性能体现,两者基本一致,只有在in关键字和to_number函数的情况下不同,in关键字在PPAS中只扫描对应的子表,Postgres里做全表扫描;to_number函数在PostgreSQL中是没有的,因此报错,因为PPAS有兼容oracle引擎,所以没问题,走相应子表扫描。
    相同的情况有:
    按分区列值查询,只查询对应分区表
    按分区列值做范围查询,只查询对应分区表
    按分区列值和其它列查询,只查询对应分区表
    按分区列值查询,值有显式类型转换,只查询对应分区表
    按分区列值查询,值和列类型不同,值有隐式类型转换,只查询对应分区表
    按分区列值查询,列要做隐式类型转换,走全表扫描
    按分区列值查询,值使用了函数,走分区表索引扫描
    按分区列值查询,值使用了子查询,用等号走全表扫描
    按分区列值 更新,走分区表索引扫描
    按分区列值 删除,走分区表索引扫描
    具体情况见下面:

    下面是pg中的过程

    1 创建分区表
    1.1 主表/子表继承
    create table test (id integer primary key, name varchar(32));

    CREATE TABLE t1_1000(LIKE test INCLUDING all) INHERITS(test);
    CREATE TABLE t1001_2000(LIKE test INCLUDING all) INHERITS(test);
    CREATE TABLE t2001_3000(LIKE test INCLUDING all) INHERITS(test);
    CREATE TABLE t_other(LIKE test INCLUDING all) INHERITS(test);

    ALTER TABLE t1_1000 ADD CONSTRAINT t1_1000_check CHECK (id >= 1 and id <1001);
    ALTER TABLE t1001_2000 ADD CONSTRAINT t1_1000_check CHECK (id >= 1001 and id <2001);
    ALTER TABLE t2001_3000 ADD CONSTRAINT t1_1000_check CHECK (id >= 2001 and id <3001);
    ALTER TABLE t_other ADD CONSTRAINT t_other CHECK (id <= 0 or id >=3001);


    1.2 定义触发器函数

    CREATE OR REPLACE FUNCTION test_insert_trigger()
    RETURNS TRIGGER AS $$
    BEGIN
        IF   ( NEW.id >= 1 and NEW.id<1001) THEN
            INSERT INTO t1_1000 VALUES (NEW.*);
        ELSeIF ( NEW.id >= 1001  and NEW.id<2001) THEN
            INSERT INTO t1001_2000 VALUES (NEW.*);
         ELSeIF ( NEW.id >= 2001  and NEW.id<3001) THEN
            INSERT INTO t2001_3000 VALUES (NEW.*);
        ELSE
            INSERT INTO t_other VALUES (NEW.*);
        END IF;
        RETURN NULL;
    END;
    $$ LANGUAGE plpgsql;

    CREATE OR REPLACE FUNCTION test_delete_trigger()
    RETURNS TRIGGER AS $$
    BEGIN
        IF    ( old.id >= 1 and old.id<1001 ) THEN
            DELETE FROM t1_1000 WHERE id=old.id;
        ELSIF ( old.id >= 1001 and old.id<2001) THEN
            DELETE FROM t1001_2000 WHERE id=old.id;
        ELSIF ( old.id >= 2001 and old.id<3001 ) THEN
            DELETE FROM t2001_3000 WHERE id=old.id;
        ELSE
            DELETE FROM t_other WHERE id=old.id;
        END IF;
        RETURN NULL;
    END;
    $$ LANGUAGE plpgsql;


    1.3 加触发器
    CREATE TRIGGER insert_test_trigger
        BEFORE INSERT ON test
        FOR EACH ROW EXECUTE PROCEDURE test_insert_trigger();

    CREATE TRIGGER delete_test_trigger
        BEFORE DELETE ON test
        FOR EACH ROW EXECUTE PROCEDURE test_delete_trigger();


    2
    给表中插入值时自动根据ID值插入到分区表中
    beigang=# INSERT INTO test(id, name)VALUES (6, 'ertr');
    INSERT 0 0
    beigang=#

    beigang=# select * from test;
     id | name
    ----+------
      6 | ertr
    (1 row)

    beigang=#
    beigang=# select count(*) from only test;
     count
    -------
         0
    (1 row)

    beigang=# select count(*) from only t1_1000;
     count
    -------
         1
    (1 row)
                                      ^
    beigang=#
    beigang=# select count(*) from only t1001_2000;
     count
    -------
         0
    (1 row)

    beigang=#

    3
    从父表中删除该值
    beigang=# delete from test where id=6;
    DELETE 1
    beigang=#
    beigang=# select count(*) from only t1_1000;
     count
    -------
         0
    (1 row)

    4
    批量插入值
    beigang=# insert into test select generate_series(1,2600),'abc';
    INSERT 0 0
    beigang=#
    beigang=# select count(*) from test;
     count
    -------
      2600
    (1 row)

    beigang=# select count(*) from only test;
     count
    -------
         0
    (1 row)

    beigang=# select count(*) from only t2001_3000;
     count
    -------
       600
    (1 row)


    5
    查询

    5.1
    按分区列值查询,只查询对应分区表
    beigang=# explain select * from test where id=200;
                                             QUERY PLAN                                         
    ---------------------------------------------------------------------------------------------
     Result  (cost=0.00..8.27 rows=2 width=47)
       ->  Append  (cost=0.00..8.27 rows=2 width=47)
             ->  Seq Scan on test  (cost=0.00..0.00 rows=1 width=86)
                   Filter: (id = 200)
             ->  Index Scan using t1_1000_pkey on t1_1000 test  (cost=0.00..8.27 rows=1 width=8)
                   Index Cond: (id = 200)
    (6 rows)


    5.2
    按分区列值做范围查询,只查询对应分区表
    beigang=# explain select * from test where id<200 and id>100;
                                               QUERY PLAN                                          
    ------------------------------------------------------------------------------------------------
     Result  (cost=0.00..10.25 rows=101 width=9)
       ->  Append  (cost=0.00..10.25 rows=101 width=9)
             ->  Seq Scan on test  (cost=0.00..0.00 rows=1 width=86)
                   Filter: ((id < 200) AND (id > 100))
             ->  Index Scan using t1_1000_pkey on t1_1000 test  (cost=0.00..10.25 rows=100 width=8)
                   Index Cond: ((id < 200) AND (id > 100))
    (6 rows)


    beigang=# explain select * from test where id<700 and id>100;
                                    QUERY PLAN                                
    ---------------------------------------------------------------------------
     Result  (cost=0.00..20.00 rows=601 width=8)
       ->  Append  (cost=0.00..20.00 rows=601 width=8)
             ->  Seq Scan on test  (cost=0.00..0.00 rows=1 width=86)
                   Filter: ((id < 700) AND (id > 100))
             ->  Seq Scan on t1_1000 test  (cost=0.00..20.00 rows=600 width=8)
                   Filter: ((id < 700) AND (id > 100))
    (6 rows)

    beigang=#
    beigang=# explain select * from test where id<1100 and id>900;
                                                  QUERY PLAN                                             
    ------------------------------------------------------------------------------------------------------
     Result  (cost=0.00..20.50 rows=201 width=8)
       ->  Append  (cost=0.00..20.50 rows=201 width=8)
             ->  Seq Scan on test  (cost=0.00..0.00 rows=1 width=86)
                   Filter: ((id < 1100) AND (id > 900))
             ->  Index Scan using t1_1000_pkey on t1_1000 test  (cost=0.00..10.25 rows=100 width=8)
                   Index Cond: ((id < 1100) AND (id > 900))
             ->  Index Scan using t1001_2000_pkey on t1001_2000 test  (cost=0.00..10.25 rows=100 width=8)
                   Index Cond: ((id < 1100) AND (id > 900))
    (8 rows)


    5.3
    按分区列值和其它列查询,只查询对应分区表
    beigang=# explain select * from test where id=300 and name='ccc';
                                             QUERY PLAN                                         
    ---------------------------------------------------------------------------------------------
     Result  (cost=0.00..8.27 rows=2 width=47)
       ->  Append  (cost=0.00..8.27 rows=2 width=47)
             ->  Seq Scan on test  (cost=0.00..0.00 rows=1 width=86)
                   Filter: ((id = 300) AND ((name)::text = 'ccc'::text))
             ->  Index Scan using t1_1000_pkey on t1_1000 test  (cost=0.00..8.27 rows=1 width=8)
                   Index Cond: (id = 300)
                   Filter: ((name)::text = 'ccc'::text)
    (7 rows)


    5.4
    按分区列值查询,值有显式类型转换,只查询对应分区表
    beigang=# explain select * from test where id='5'::int;
                                                  QUERY PLAN                                              
    -------------------------------------------------------------------------------------------------------
     Result  (cost=0.00..5.27 rows=2 width=47)
       ->  Append  (cost=0.00..5.27 rows=2 width=47)
             ->  Seq Scan on test  (cost=0.00..0.00 rows=1 width=86)
                   Filter: (id = 5)
             ->  Index Scan using test_t1_1000_pkey on test_t1_1000 test  (cost=0.00..5.27 rows=1 width=8)
                   Index Cond: (id = 5)
    (6 rows)

    5.5
    按分区列值查询,值和列类型不同,值有隐式类型转换,只查询对应分区表
    beigang=# explain select * from test where id='5';
                                                  QUERY PLAN                                              
    -------------------------------------------------------------------------------------------------------
     Result  (cost=0.00..5.27 rows=2 width=47)
       ->  Append  (cost=0.00..5.27 rows=2 width=47)
             ->  Seq Scan on test  (cost=0.00..0.00 rows=1 width=86)
                   Filter: (id = 5)
             ->  Index Scan using test_t1_1000_pkey on test_t1_1000 test  (cost=0.00..5.27 rows=1 width=8)
                   Index Cond: (id = 5)
    (6 rows)


    5.6
    按分区列值查询,列要做隐式类型转换,走全表扫描
    beigang=# explain select * from test where id || name ='5abc';
                                     QUERY PLAN                                
    ----------------------------------------------------------------------------
     Result  (cost=0.00..89.00 rows=18 width=30)
       ->  Append  (cost=0.00..89.00 rows=18 width=30)
             ->  Seq Scan on test  (cost=0.00..0.00 rows=1 width=86)
                   Filter: (((id)::text || (name)::text) = '5abc'::text)
             ->  Seq Scan on t1_1000 test  (cost=0.00..25.00 rows=5 width=8)
                   Filter: (((id)::text || (name)::text) = '5abc'::text)
             ->  Seq Scan on t1001_2000 test  (cost=0.00..25.00 rows=5 width=8)
                   Filter: (((id)::text || (name)::text) = '5abc'::text)
             ->  Seq Scan on t2001_3000 test  (cost=0.00..15.00 rows=3 width=8)
                   Filter: (((id)::text || (name)::text) = '5abc'::text)
             ->  Seq Scan on t_other test  (cost=0.00..24.00 rows=4 width=86)
                   Filter: (((id)::text || (name)::text) = '5abc'::text)
    (12 rows)


    5.7
    按分区列值查询,值使用了函数,pg没有to_number函数,报错
    beigang=# explain select * from test where id=to_number('1');
    ERROR:  function to_number(unknown) does not exist
    LINE 1: explain select * from test where id=to_number('1');
                                                ^
    HINT:  No function matches the given name and argument types. You might need to add explicit type casts.


    5.8
    按分区列值查询,值使用了函数,走分区表索引扫描
    beigang=# explain select * from test where id=cast('1' as int);
                                                  QUERY PLAN                                              
    -------------------------------------------------------------------------------------------------------
     Result  (cost=0.00..5.27 rows=2 width=47)
       ->  Append  (cost=0.00..5.27 rows=2 width=47)
             ->  Seq Scan on test  (cost=0.00..0.00 rows=1 width=86)
                   Filter: (id = 1)
             ->  Index Scan using test_t1_1000_pkey on test_t1_1000 test  (cost=0.00..5.27 rows=1 width=8)
                   Index Cond: (id = 1)
    (6 rows)

    beigang=#

    5.9
    按分区列值查询,值使用了子查询,用等号走全表扫描,用in走分区表索引扫描
    beigang=# explain select * from test where id in(select 1 );
                                                QUERY PLAN                                            
    ---------------------------------------------------------------------------------------------------
     Nested Loop  (cost=0.02..41.43 rows=1650 width=25)
       Join Filter: (public.test.id = (1))
       ->  HashAggregate  (cost=0.02..0.03 rows=1 width=4)
             ->  Result  (cost=0.00..0.01 rows=1 width=0)
       ->  Append  (cost=0.00..41.34 rows=5 width=39)
             ->  Index Scan using test_pkey on test  (cost=0.00..8.27 rows=1 width=86)
                   Index Cond: (id = (1))
             ->  Index Scan using t1_1000_pkey on t1_1000 test  (cost=0.00..8.27 rows=1 width=8)
                   Index Cond: (id = (1))
             ->  Index Scan using t1001_2000_pkey on t1001_2000 test  (cost=0.00..8.27 rows=1 width=8)
                   Index Cond: (id = (1))
             ->  Index Scan using t2001_3000_pkey on t2001_3000 test  (cost=0.00..8.27 rows=1 width=8)
                   Index Cond: (id = (1))
             ->  Index Scan using t_other_pkey on t_other test  (cost=0.00..8.27 rows=1 width=86)
                   Index Cond: (id = (1))
    (15 rows)


    beigang=# explain select * from test where id =(select 1 );
                                                QUERY PLAN                                            
    ---------------------------------------------------------------------------------------------------
     Result  (cost=0.01..33.08 rows=5 width=39)
       InitPlan 1 (returns $0)
         ->  Result  (cost=0.00..0.01 rows=1 width=0)
       ->  Append  (cost=0.00..33.07 rows=5 width=39)
             ->  Seq Scan on test  (cost=0.00..0.00 rows=1 width=86)
                   Filter: (id = $0)
             ->  Index Scan using t1_1000_pkey on t1_1000 test  (cost=0.00..8.27 rows=1 width=8)
                   Index Cond: (id = $0)
             ->  Index Scan using t1001_2000_pkey on t1001_2000 test  (cost=0.00..8.27 rows=1 width=8)
                   Index Cond: (id = $0)
             ->  Index Scan using t2001_3000_pkey on t2001_3000 test  (cost=0.00..8.27 rows=1 width=8)
                   Index Cond: (id = $0)
             ->  Index Scan using t_other_pkey on t_other test  (cost=0.00..8.27 rows=1 width=86)
                   Index Cond: (id = $0)
    (14 rows)


    5.10
    按分区列值 更新,走分区表索引扫描
    beigang=# explain update test set name = 'bbb' where id=99;
                                           QUERY PLAN                                      
    ----------------------------------------------------------------------------------------
     Update on test  (cost=0.00..8.27 rows=2 width=10)
       ->  Seq Scan on test  (cost=0.00..0.00 rows=1 width=10)
             Filter: (id = 99)
       ->  Index Scan using t1_1000_pkey on t1_1000 test  (cost=0.00..8.27 rows=1 width=10)
             Index Cond: (id = 99)
    (5 rows)

    5.11
    按分区列值 删除,走分区表索引扫描
    beigang=# explain delete from test where id=99;
                                          QUERY PLAN                                      
    ---------------------------------------------------------------------------------------
     Delete on test  (cost=0.00..8.27 rows=2 width=6)
       ->  Seq Scan on test  (cost=0.00..0.00 rows=1 width=6)
             Filter: (id = 99)
       ->  Index Scan using t1_1000_pkey on t1_1000 test  (cost=0.00..8.27 rows=1 width=6)
             Index Cond: (id = 99)
    (5 rows)


    -----------------

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  • 原文地址:https://www.cnblogs.com/dyllove98/p/3127574.html
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