更新时间:2024-07-02 GMT+08:00
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REWRITE HINT

提示可以与SELECT语句一起提供,用于使用指定的物化视图重写查询,这将优化查询,并有助于更快地执行它们。必须在查询开始时给出提示。目前支持两种类型的提示,如下所示:

  • NOREWRITE

    不会进行查询重写。格式为:/*+ NOREWRITE */

  • REWRITE(materialized_view_name ..)

    查询将使用提到的物化视图名称重写。可以提供多个物化视图名称,以空格分隔。物化视图名称应为完全限定名称。

    格式为:/*+ REWRITE(mv1 mv2 ..) */

示例

  • 强制按原SQL执行,不对SQL进行查询重写
    /*+ NOREWRITE */ SELECT c1,c2 FROM table;
  • 使用指定物化视图进行查询重写
    SET SESSION materialized_view_rewrite_enabled=true;  --启用物化视图查询改写能力
    CREATE TABLE t1 (id int, c1 varchar);
    INSERT INTO t1 VALUES (1,'abc'), (2,'abc2'), (3,'abc3'), (4,'abc4'), (5,'abc5'),(6,'abc6');
    CREATE TABLE t2 (id1 int, c1 varchar);
    INSERT INTO t2 VALUES (1,'abc'), (2,'abc2'), (3,'abc3'), (4,'abc4'), (5,'abc5'),(6,'abc6');
    -- 创建查询SQL的物化视图,并对SQL包含的子查询也分别创建物化视图
    CREATE MATERIALIZED VIEW mv.tpcds.test7 AS SELECT a.id,b.c1 FROM (SELECT id FROM t1 WHERE id>5) as a,(SELECT id1,c1 FROM t2 WHERE id1>4) AS b WHERE a.id = b.id1;
    CREATE MATERIALIZED VIEW mv.tpcds.test6a AS SELECT id FROM t1 WHERE id>5;
    CREATE MATERIALIZED VIEW mv.tpcds.test6b AS SELECT id1,c1 FROM t2 WHERE id1>4;
    -- 指定使用子查询的物化视图进行查询重写
    EXPLAIN /*+ REWRITE(mv.tpcds.test6a mv.tpcds.test6b) */ SELECT a.id,b.c1 FROM (SELECT id FROM t1 WHERE id>5) AS a,(SELECT id1,c1 FROM t2 WHERE id1>4) AS b WHERE a.id = b.id1;
                                                             Query Plan                                                          
    -----------------------------------------------------------------------------------------------------------------------------
     Output[id, c1]                                                                                                              
     │   Layout: [id:integer, c1:varchar]                                                                                        
     │   Estimates: {rows: ? (?), cpu: ?, memory: ?, network: ?}                                                                 
     └─ RemoteExchange[GATHER]                                                                                                   
        │   Layout: [id:integer, c1:varchar]                                                                                     
        │   Estimates: {rows: ? (?), cpu: ?, memory: ?, network: ?}                                                              
        └─ InnerJoin[("id" = "id1")][$hashvalue, $hashvalue_22]                                                                  
           │   Layout: [id:integer, c1:varchar]                                                                                  
           │   Estimates: {rows: ? (?), cpu: ?, memory: ?, network: ?}                                                           
           │   Distribution: PARTITIONED                                                                                         
           ├─ RemoteExchange[REPARTITION][$hashvalue]                                                                            
           │  │   Layout: [id:integer, $hashvalue:bigint]                                                                        
           │  │   Estimates: {rows: ? (?), cpu: ?, memory: 0B, network: ?}                                                       
           │  └─ ScanProject[table = hive:tpcds:test6a]                                                                          
           │         Layout: [id:integer, $hashvalue_21:bigint]                                                                  
           │         Estimates: {rows: ? (?), cpu: ?, memory: 0B, network: 0B}/{rows: ? (?), cpu: ?, memory: 0B, network: 0B}    
           │         $hashvalue_21 := combine_hash(BIGINT 0, COALESCE($operator$hash_code(id), BIGINT 0))                        
           │         id := id:int:0:REGULAR                                                                                      
           └─ LocalExchange[HASH][$hashvalue_22] ("id1")                                                                         
              │   Layout: [id1:integer, c1:varchar, $hashvalue_22:bigint]                                                        
              │   Estimates: {rows: ? (?), cpu: ?, memory: 0B, network: ?}                                                       
              └─ RemoteExchange[REPARTITION][$hashvalue_23]                                                                      
                 │   Layout: [id1:integer, c1:varchar, $hashvalue_23:bigint]                                                     
                 │   Estimates: {rows: ? (?), cpu: ?, memory: 0B, network: ?}                                                    
                 └─ ScanProject[table = hive:tpcds:test6b]                                                                       
                        Layout: [id1:integer, c1:varchar, $hashvalue_24:bigint]                                                  
                        Estimates: {rows: ? (?), cpu: ?, memory: 0B, network: 0B}/{rows: ? (?), cpu: ?, memory: 0B, network: 0B} 
                        $hashvalue_24 := combine_hash(BIGINT 0, COALESCE($operator$hash_code(id1), BIGINT 0))                    
                        id1 := id1:int:0:REGULAR                                                                                 
                        c1 := c1:string:1:REGULAR                                                                                
    
    (1 row)
    
    -- 指定查询SQL整体对应的物化视图进行查询重写
    EXPLAIN SELECT a.id,b.c1 FROM (SELECT id FROM t1 WHERE id>5) AS a,(SELECT id1,c1 FROM t2 WHERE id1>4) AS b WHERE a.id = b.id1;
                                 Query Plan                              
    ---------------------------------------------------------------------
     Output[id, c1]                                                      
     │   Layout: [id:integer, c1:varchar]                                
     │   Estimates: {rows: ? (?), cpu: ?, memory: 0B, network: ?}        
     └─ RemoteExchange[GATHER]                                           
        │   Layout: [id:integer, c1:varchar]                             
        │   Estimates: {rows: ? (?), cpu: ?, memory: 0B, network: ?}     
        └─ TableScan[table = hive:tpcds:test7]                           
               Layout: [id:integer, c1:varchar]                          
               Estimates: {rows: ? (?), cpu: ?, memory: 0B, network: 0B} 
               id := id:int:0:REGULAR                                    
               c1 := c1:string:1:REGULAR                                 
    
    (1 row)

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