• 对PostgreSQL Merge Join 的理解


    开始

    伪代码:

    http://momjian.us/main/writings/pgsql/optimizer.pdf
    
    sort(outer);            
    sort(inner);            
    i = 0;            
    j = 0;            
    save_j = 0;            
    while (i < length(outer))            
    {            
        if (outer[i] == inner[j])        
            output(outer[i], inner[j]);    
                
                
        if (outer[i] <= inner[j] && j < length(inner))        
        {        
            j++;    
            if (outer[i] < inner[j])    
                save_j = j;
        }        
        else        
        {        
            i++;    
            j = save_j;    
        }        
    }            

    上述描述中,可以把两列排序好的数组看成 由大到小排列。

     Merge Join 先要对各表各自排序,然后从各自的排序表中抽取数据,到另一个排序表中做匹配。
    通常来讲,能够使用merge join的地方,hash join 更快。

    验证:

    postgres=# EXPLAIN SELECT relname,nspname FROM pg_class join
            pg_namespace ON (pg_class.relnamespace = pg_namespace.oid);
                                   QUERY PLAN                                
    -------------------------------------------------------------------------
     Hash Join  (cost=1.14..16.02 rows=290 width=128)
       Hash Cond: (pg_class.relnamespace = pg_namespace.oid)
       ->  Seq Scan on pg_class  (cost=0.00..10.90 rows=290 width=68)
       ->  Hash  (cost=1.06..1.06 rows=6 width=68)
             ->  Seq Scan on pg_namespace  (cost=0.00..1.06 rows=6 width=68)
    (5 rows)
    
    postgres=# 
    
    
    
    postgres=# set session enable_hashjoin=false;
    SET
    postgres=# EXPLAIN SELECT relname,nspname FROM pg_class join
            pg_namespace ON (pg_class.relnamespace = pg_namespace.oid);
                                   QUERY PLAN                                
    -------------------------------------------------------------------------
     Merge Join  (cost=23.90..28.28 rows=290 width=128)
       Merge Cond: (pg_namespace.oid = pg_class.relnamespace)
       ->  Sort  (cost=1.14..1.15 rows=6 width=68)
             Sort Key: pg_namespace.oid
             ->  Seq Scan on pg_namespace  (cost=0.00..1.06 rows=6 width=68)
       ->  Sort  (cost=22.76..23.49 rows=290 width=68)
             Sort Key: pg_class.relnamespace
             ->  Seq Scan on pg_class  (cost=0.00..10.90 rows=290 width=68)
    (8 rows)
    
    postgres=# 

    [作者:技术者高健@博客园  mail: luckyjackgao@gmail.com ]

    改了 join 的顺序 对 结果也没有影响。

    postgres=# EXPLAIN SELECT relname,nspname FROM pg_namespace join
            pg_class ON (pg_class.relnamespace = pg_namespace.oid);
                                   QUERY PLAN                                
    -------------------------------------------------------------------------
     Merge Join  (cost=23.90..28.28 rows=290 width=128)
       Merge Cond: (pg_namespace.oid = pg_class.relnamespace)
       ->  Sort  (cost=1.14..1.15 rows=6 width=68)
             Sort Key: pg_namespace.oid
             ->  Seq Scan on pg_namespace  (cost=0.00..1.06 rows=6 width=68)
       ->  Sort  (cost=22.76..23.49 rows=290 width=68)
             Sort Key: pg_class.relnamespace
             ->  Seq Scan on pg_class  (cost=0.00..10.90 rows=290 width=68)
    (8 rows)
    
    postgres=# 
    postgres=# EXPLAIN SELECT relname,nspname FROM pg_namespace,
            pg_class where (pg_class.relnamespace = pg_namespace.oid);
                                   QUERY PLAN                                
    -------------------------------------------------------------------------
     Merge Join  (cost=23.90..28.28 rows=290 width=128)
       Merge Cond: (pg_namespace.oid = pg_class.relnamespace)
       ->  Sort  (cost=1.14..1.15 rows=6 width=68)
             Sort Key: pg_namespace.oid
             ->  Seq Scan on pg_namespace  (cost=0.00..1.06 rows=6 width=68)
       ->  Sort  (cost=22.76..23.49 rows=290 width=68)
             Sort Key: pg_class.relnamespace
             ->  Seq Scan on pg_class  (cost=0.00..10.90 rows=290 width=68)
    (8 rows)
    
    postgres=# 

    结束

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  • 原文地址:https://www.cnblogs.com/gaojian/p/2760677.html
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