尽管子查询中存在 ORA-904,但 UPDATE 工作正常(但真的非常慢)

UPDATE works OK (but really, really slow) despite ORA-904 in subquery

我有一个 UPDATE 语句,在 WHERE 中有一个子查询来查找重复项。子查询有错误,当 运行 查询子查询本身时会显示,但当 运行 在 UPDATE 语句中显示错误时,不会显示任何错误,并且 DML 运行 正常(但非常慢)。

查看 table 设置:

CREATE TABLE RAW_table
(
  ERROR_LEVEL      NUMBER(3),
  RAW_DATA_ROW_ID  INTEGER,
  ATTRIBUTE_1      VARCHAR2(4000 BYTE)
)
;

INSERT INTO RAW_table VALUES (0,    2,  '509NTQD9Q868');
INSERT INTO RAW_table VALUES (0,    2,  '509NTQD9Q868');
INSERT INTO RAW_table VALUES (0,    2,  '509NTQD9Q868');
INSERT INTO RAW_table VALUES (0,    3,  '509NTVS9Q863');
INSERT INTO RAW_table VALUES (0,    3,  '509NTVS9Q863');
INSERT INTO RAW_table VALUES (0,    3,  '509NTVS9Q863');

COMMIT;

错误查询为:

SELECT UPPER(ATTRIBUTE_1), rid
  FROM ( SELECT UPPER(ATTRIBUTE_1)
              , ROWID AS rid
              , ROW_NUMBER() OVER ( PARTITION BY UPPER (ATTRIBUTE_1) ORDER BY RAW_DATA_ROW_ID) AS RN
           FROM RAW_table
       )
 WHERE RN > 1;

当运行时给出ORA-00904: "ATTRIBUTE_1": invalid identifier

但是,以下在 WHERE 语句中使用上述查询(从第 4 行开始)的 DML 工作正常:

set timing on

UPDATE RAW_table
   SET ERROR_LEVEL   = 4
 WHERE (UPPER (ATTRIBUTE_1), ROWID) 
       IN (SELECT UPPER (ATTRIBUTE_1), rid
           FROM (SELECT UPPER (ATTRIBUTE_1), ROWID AS rid
                     , ROW_NUMBER() OVER ( PARTITION BY UPPER (ATTRIBUTE_1) ORDER BY RAW_DATA_ROW_ID) AS RN
                  FROM RAW_table
                )
           WHERE RN > 1
          )
;

4 rows updated.
Elapsed: 00:00:00.36

为什么?为什么?为什么?

我预计更新也会因 ORA-00904: "ATTRIBUTE_1": invalid identifier 而失败。 为什么它没有失败?

然而,真正的问题是不是更新实际上有效,而是它工作得非常慢。

当我将子查询更正为不触发 ORA-00904: "ATTRIBUTE_1": invalid identifier 时:

UPDATE RAW_table
   SET ERROR_LEVEL   = 4
 WHERE (UPPER (ATTRIBUTE_1), ROWID) 
        IN (SELECT checked_column, rid
           FROM (SELECT UPPER (ATTRIBUTE_1) AS checked_column, ROWID AS rid
                     , ROW_NUMBER() OVER ( PARTITION BY UPPER (ATTRIBUTE_1) ORDER BY RAW_DATA_ROW_ID) AS RN
                  FROM RAW_table
                )
           WHERE RN > 1
          )
;

在 11.000 行的测试数据集上查询加速近 400 倍:

SELECT COUNT(*) FROM RAW_table;

  COUNT(*)
----------
     11004
1 row selected.

更正查询:

1005 rows updated.
Elapsed: 00:00:00.28

使用 ORA-904 查询:

1005 rows updated.
Elapsed: 00:01:48.40

我没有耐心等到 71.000 行测试结束:

SELECT COUNT(*) FROM RAW_table;
  COUNT(*)
----------
     71475
1 row selected.

Corrected query
11004 rows updated.
Elapsed: 00:00:00.60

Query with ORA-904

30 分钟后取消...

使用 ORA-904 解释查询计划:

UPDATE STATEMENT  ALL_ROWS     Cost: **2 544 985 615**  Bytes: 8 464 752  Cardinality: 4 176  
     7 UPDATE RAW_TABLE 
          6 FILTER  
               1 TABLE ACCESS FULL TABLE RAW_TABLE Cost: 54  Bytes: 169 282 878  Cardinality: 83 514  
               5 VIEW  Cost: 30 486  Bytes: 2 087 850  Cardinality: 83 514  
                    4 WINDOW SORT  Cost: 30 486  Bytes: 169 282 878  Cardinality: 83 514  
                         3 FILTER  
                              2 TABLE ACCESS FULL TABLE RAW_TABLE Cost: 54  Bytes: 169 282 878  Cardinality: 83 514  

解释更正查询的计划:

UPDATE STATEMENT  ALL_ROWS     Cost: **36 637**  Bytes: 3 374 235  Cardinality: 835  
     7 UPDATE RAW_TABLE 
          6 HASH JOIN RIGHT SEMI  Cost: 36 637  Bytes: 3 374 235  Cardinality: 835  
               4 VIEW VIEW SYS.VW_NSO_1 Cost: 30 486  Bytes: 168 197 196  Cardinality: 83 514  
                    3 VIEW  Cost: 30 486  Bytes: 169 282 878  Cardinality: 83 514  
                         2 WINDOW SORT  Cost: 30 486  Bytes: 169 282 878  Cardinality: 83 514  
                              1 TABLE ACCESS FULL TABLE RAW_TABLE Cost: 54  Bytes: 169 282 878  Cardinality: 83 514  
               5 TABLE ACCESS FULL TABLE RAW_TABLE Cost: 54  Bytes: 169 282 878  Cardinality: 83 514  

经过分析 table 成本计划是一样的。 使用 ORA-904 解释查询计划:

UPDATE STATEMENT  ALL_ROWS     Cost: **29 381 690**  Bytes: 38  Cardinality: 2
     7 UPDATE RAW_TABLE
          6 FILTER
               1 TABLE ACCESS FULL TABLE RAW_TABLE Cost: 54  Bytes: 1 358 025  Cardinality: 71 475
               5 VIEW  Cost: 427  Bytes: 1 786 875  Cardinality: 71 475
                    4 WINDOW SORT  Cost: 427  Bytes: 1 358 025  Cardinality: 71 475
                         3 FILTER
                              2 TABLE ACCESS FULL TABLE RAW_TABLE Cost: 54  Bytes: 1 358 025  Cardinality: 71 475

解释更正查询的计划:

UPDATE STATEMENT  ALL_ROWS     Cost: **3 123**  Bytes: 1 453 595  Cardinality: 715
     7 UPDATE RAW_TABLE
          6 HASH JOIN SEMI  Cost: 3 123  Bytes: 1 453 595  Cardinality: 715
               5 VIEW VIEW SYS.VW_NSO_1 Cost: 427  Bytes: 143 950 650  Cardinality: 71 475
                    4 VIEW  Cost: 427  Bytes: 144 879 825  Cardinality: 71 475
                         3 WINDOW SORT  Cost: 427  Bytes: 1 358 025  Cardinality: 71 475
                              2 TABLE ACCESS FULL TABLE RAW_TABLE Cost: 54  Bytes: 1 358 025  Cardinality: 71 475
               1 TABLE ACCESS FULL TABLE RAW_TABLE Cost: 54  Bytes: 1 358 025  Cardinality: 71 475

解释计划成本说明了一切,但为什么会有如此大的不同?

在 table 上计算统计数据后,我刚刚再次触发了 71.000 行测试,但它已经 运行ning 几分钟了...

这一切都在 Oracle Database 12c Enterprise Edition Release 12.1.0.2.0 - 64 位上。

SELECT UPPER(ATTRIBUTE_1), rid
  FROM ( SELECT UPPER(ATTRIBUTE_1) ATTRIBUTE_1
              , ROWID AS rid
              , ROW_NUMBER() OVER ( PARTITION BY UPPER (ATTRIBUTE_1) ORDER BY RAW_DATA_ROW_ID) AS RN
           FROM RAW_table
       )
 WHERE RN > 1

这就是别名非常非常有用的原因。

查询中

UPDATE RAW_table
   SET ERROR_LEVEL   = 4
 WHERE (UPPER (ATTRIBUTE_1), ROWID) 
       IN (SELECT UPPER (ATTRIBUTE_1), rid
           FROM (SELECT UPPER (ATTRIBUTE_1), ROWID AS rid
                     , ROW_NUMBER() OVER ( PARTITION BY UPPER (ATTRIBUTE_1) 
                                               ORDER BY RAW_DATA_ROW_ID) AS RN
                  FROM RAW_table
                )
           WHERE RN > 1
          )

SELECT UPPER (ATTRIBUTE_1) 是有效的,因为它可以解析为对 table 的引用,而不是对 FROM 中的 table 的引用。使用别名,该查询等同于

UPDATE RAW_table dest
   SET dest.ERROR_LEVEL   = 4
 WHERE (UPPER (dest.ATTRIBUTE_1), ROWID) 
       IN (SELECT UPPER (dest.ATTRIBUTE_1), src.rid
           FROM (SELECT UPPER (rt.ATTRIBUTE_1), rt.ROWID AS rid
                     , ROW_NUMBER() OVER ( PARTITION BY UPPER (rt.ATTRIBUTE_1) 
                                               ORDER BY rt.RAW_DATA_ROW_ID) AS RN
                  FROM RAW_table rt
                ) src
           WHERE src.rid > 1
          )

当然,如果您是这样写的,那么很明显您引用的是 dest.attribute_1 而不是 src.attribute_1。这(以及许多其他原因)就是为什么为您的列添加别名是个好主意——它清楚地表明您打算引用哪个对象,并在预期引用无效时抛出错误,而不是潜在地将其解析为您没有解析的内容打算。

您的 SELECT 失败,因为子查询中没有名为 ATTRIBUTE_1 的列。您需要分配名称:

SELECT UPPER(ATTRIBUTE_1), rid
  FROM ( SELECT UPPER(ATTRIBUTE_1) as ATTRIBUTE_1, 
                ROWID AS rid,
                ROW_NUMBER() OVER (PARTITION BY UPPER(ATTRIBUTE_1) ORDER BY RAW_DATA_ROW_ID) AS RN
         FROM RAW_table
       )
 WHERE RN > 1;

UPDATE 不会产生错误,因为它从外部查询中提取值:

UPDATE RAW_table
-------^
|   SET ERROR_LEVEL   = 4
| WHERE (UPPER (ATTRIBUTE_1), ROWID) IN 
|         (SELECT checked_column, rid
|          FROM (SELECT UPPER(ATTRIBUTE_1) AS checked_column, ROWID AS rid,
------------------------------^  This is interpreted as RAW_table.ATTRIBUTE_1
                        ROW_NUMBER() OVER (PARTITION BY UPPER(ATTRIBUTE_1) ORDER BY RAW_DATA_ROW_ID) AS RN
                 FROM RAW_table
                )
           WHERE RN > 1
          )

这种相关性可能不是您想要的,这也是我建议列名 总是 限定的原因之一(即包含 table 别名)。

也许这些版本更快(至少它们更紧凑):

UPDATE RAW_table
SET ERROR_LEVEL = 4
WHERE ROWID <>ALL (SELECT MIN(ROWID) FROM RAW_table GROUP BY UPPER(ATTRIBUTE_1));


UPDATE RAW_table
SET ERROR_LEVEL = 4
WHERE ROWID <>ALL (SELECT FIRST_VALUE(ROWID) OVER (PARTITION BY UPPER(ATTRIBUTE_1) ORDER BY RAW_DATA_ROW_ID) FROM RAW_table);

请注意,<>ALL 等同于 NOT IN - 使用 <>ALL 只是我个人的偏好。