有应用人员反映某套Linux上的11.2.0.1数据库系统中出现了UNION ALL后返回的结果集不正确的问题,我们具体分析下出现问题的其中一条语句:
SELECT MTL_SECONDARY_INVENTORIES.SECONDARY_INVENTORY_NAME, MTL_SECONDARY_INVENTORIES.ORGANIZATION_ID, MTL_SECONDARY_INVENTORIES.DESCRIPTION, MTL_SECONDARY_INVENTORIES.AVAILABILITY_TYPE, MTL_SECONDARY_INVENTORIES.MATERIAL_ACCOUNT, MTL_SECONDARY_INVENTORIES.MATERIAL_OVERHEAD_ACCOUNT, MTL_SECONDARY_INVENTORIES.RESOURCE_ACCOUNT, MTL_SECONDARY_INVENTORIES.OVERHEAD_ACCOUNT, MTL_SECONDARY_INVENTORIES.OUTSIDE_PROCESSING_ACCOUNT, MTL_SECONDARY_INVENTORIES.ASSET_INVENTORY, MTL_SECONDARY_INVENTORIES.EXPENSE_ACCOUNT, MTL_SECONDARY_INVENTORIES.ENCUMBRANCE_ACCOUNT, MTL_SECONDARY_INVENTORIES.ATTRIBUTE3, MTL_SECONDARY_INVENTORIES.ATTRIBUTE5, WORKFLOW_START_TIMES.WORKFLOW_START_TIME FROM REPEMEAERP.MTL_SECONDARY_INVENTORIES, REPEMEAERP.WORKFLOW_START_TIMES WHERE MTL_SECONDARY_INVENTORIES.DW_UPDATE_DT > TO_DATE('01/01/1900 00:00:00', 'MM/DD/YYYY HH24:MI:SS') AND MTL_SECONDARY_INVENTORIES.DW_UPDATE_DT <= WORKFLOW_START_TIMES.WORKFLOW_START_TIME AND WORKFLOW_START_TIMES.WORKFLOW_NAME = LTRIM(RTRIM('w_int_FreqBatch_EMEA')) /*以上是QUERY A*/ UNION ALL /*以下是QUERY B*/ SELECT DISTINCT 'WORKORDERS', MTL_SECONDARY_INVENTORIES.ORGANIZATION_ID, 'WORK ORDERS WITH WIP AS CATEGORY VALUE', 1, 0, 0, 0, 0, 0, 1, 0, 0, 'MOI', '0', WORKFLOW_START_TIMES.WORKFLOW_START_TIME FROM REPEMEAERP.MTL_SECONDARY_INVENTORIES, EIMMAINT.WORKFLOW_START_TIMES WHERE MTL_SECONDARY_INVENTORIES.DW_UPDATE_DT > TO_DATE('01/01/1900 00:00:00', 'MM/DD/YYYY HH24:MI:SS') AND MTL_SECONDARY_INVENTORIES.DW_UPDATE_DT <= WORKFLOW_START_TIMES.WORKFLOW_START_TIME AND WORKFLOW_START_TIMES.WORKFLOW_NAME = LTRIM(RTRIM('w_int_FreqBatch_EMEA')) / 138 rows selected.
以上查询语句中,QUERY A部分(也就是UNION ALL之前的SELECT语句)单独查询时返回返回69条记录,QUERY B部分单独查询时返回15记录,UNION ALL后返回的结果却是138条记录,而非84条记录。实际上这套系统也是最近才从10g迁移到11gr2上,之前在10g中同样的应用没有出过类似的问题,可以猜测是11g中新引入的某种特性存在可能引发wrong result的Bug。
具体思路虽然有了,但仍无法确定问题的关键所在;我们来看看该SQL的执行计划:
----------------------------------------------------------------------------------------------------------------- | Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time | ----------------------------------------------------------------------------------------------------------------- | 0 | SELECT STATEMENT | | 7 | 2443 | 52 (0)| 00:00:01 | | 1 | NESTED LOOPS | | 7 | 2443 | 52 (0)| 00:00:01 | |* 2 | TABLE ACCESS FULL | WORKFLOW_START_TIMES | 1 | 29 | 48 (0)| 00:00:01 | | 3 | VIEW | VW_JF_SET$9BAED2EA | 1 | 320 | 4 (0)| 00:00:01 | | 4 | UNION ALL PUSHED PREDICATE | | | | | | |* 5 | FILTER | | | | | | | 6 | TABLE ACCESS BY INDEX ROWID| MTL_SECONDARY_INVENTORIES | 3 | 336 | 2 (0)| 00:00:01 | |* 7 | INDEX RANGE SCAN | IDX_MTL_SECONDARY_INVENTORIES | 1 | | 1 (0)| 00:00:01 | |* 8 | FILTER | | | | | | | 9 | TABLE ACCESS BY INDEX ROWID| MTL_SECONDARY_INVENTORIES | 3 | 36 | 2 (0)| 00:00:01 | |* 10 | INDEX RANGE SCAN | IDX_MTL_SECONDARY_INVENTORIES | 1 | | 1 (0)| 00:00:01 | ----------------------------------------------------------------------------------------------------------------- Predicate Information (identified by operation id): --------------------------------------------------- 2 - filter("WORKFLOW_START_TIMES"."WORKFLOW_NAME"='w_int_FreqBatch_EMEA') 5 - filter(TO_DATE(' 1900-01-01 00:00:00', 'syyyy-mm-dd hh24:mi:ss')<"WORKFLOW_START_TIMES"."WORKFLOW_START_TIME") 7 - access("MTL_SECONDARY_INVENTORIES"."DW_UPDATE_DT">TO_DATE(' 1900-01-01 00:00:00', 'syyyy-mm-dd hh24:mi:ss') AND "MTL_SECONDARY_INVENTORIES"."DW_UPDATE_DT"<="WORKFLOW_START_TIMES"."WORKFLOW_START_TIME" ) 8 - filter(TO_DATE(' 1900-01-01 00:00:00', 'syyyy-mm-dd hh24:mi:ss')<"WORKFLOW_START_TIMES"."WORKFLOW_START_TIME") 10 - access("MTL_SECONDARY_INVENTORIES"."DW_UPDATE_DT">TO_DATE(' 1900-01-01 00:00:00', 'syyyy-mm-dd hh24:mi:ss') AND "MTL_SECONDARY_INVENTORIES"."DW_UPDATE_DT"<="WORKFLOW_START_TIMES"."WORKFLOW_START_TIME" )
你可能从以上执行计划中发现了两处十分陌生的字眼:UNION ALL PUSHED PREDICATE和VW_JF_SET$。它们是什么!?
先来说说JF,JF是join factorization的缩写,你可以把它翻译作链接因式分解,如果你学过离散数学或者数据库原理的话,那么这种在11.2.0.1中最新推出的基于成本的变换操作对你来说并不陌生。用公式的样式来表达大概是下面这样:
YYA,YYB和YYC是3个关联的数据对象亦或者是3个关联的结果集; (YYA JOIN YYB) UNION [ALL] (YYA JOIN YYC) 可以转换成为: YYA JOIN (YYB UNION [ALL] YYC)
这样做YYA部分只需要读取一次,还可以少做一次JOIN,听上去是挺不错的吧!
下面我们来看一个Oracle使用join factorization的十分简单的实例:
SQL> select * from v$version; BANNER -------------------------------------------------------------------------------- Oracle Database 11g Enterprise Edition Release 11.2.0.1.0 - 64bit Production PL/SQL Release 11.2.0.1.0 - Production CORE 11.2.0.1.0 Production TNS for Linux: Version 11.2.0.1.0 - Production NLSRTL Version 11.2.0.1.0 - Production SQL> drop table yya; drop table yya * ERROR at line 1: ORA-00942: table or view does not exist SQL> drop table yyb; drop table yyb * ERROR at line 1: ORA-00942: table or view does not exist SQL> create table yya as select rownum id1,rownum id2,rownum id3 from dual connect by level<=20000; Table created. SQL> create table yyb as select rownum id1,rownum id2,rownum id3 from dual connect by level<=20000; Table created. SQL> explain plan for 2 select * from yya ,yyb where yya.id1=yyb.id1 3 union all 4 select * from yya, yyb where yya.id1=yyb.id1; Explained. SQL> set linesize 100 pagesize 1400; SQL> select * from table(dbms_xplan.display); PLAN_TABLE_OUTPUT ---------------------------------------------------------------------------------------------------- Plan hash value: 744914999 ------------------------------------------------------------------------------------------- | Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time | ------------------------------------------------------------------------------------------- | 0 | SELECT STATEMENT | | 40000 | 2500K| 49 (3)| 00:00:01 | |* 1 | HASH JOIN | | 40000 | 2500K| 49 (3)| 00:00:01 | | 2 | TABLE ACCESS FULL | YYA | 20000 | 234K| 16 (0)| 00:00:01 | | 3 | VIEW | VW_JF_SET$6E3F6682 | 40000 | 2031K| 32 (0)| 00:00:01 | | 4 | UNION-ALL | | | | | | | 5 | TABLE ACCESS FULL| YYB | 20000 | 761K| 16 (0)| 00:00:01 | | 6 | TABLE ACCESS FULL| YYB | 20000 | 761K| 16 (0)| 00:00:01 | ------------------------------------------------------------------------------------------- Predicate Information (identified by operation id): --------------------------------------------------- 1 - access("YYA"."ID1"="ITEM_1") /*执行计划中出现了VW_JF_SET$F22B2A93,Oracle选择了使用join factorization,该执行计划总成本49*/ SQL> alter session set "_optimizer_join_factorization"=false; Session altered. /*隐藏参数_optimizer_join_factorization决定了优化器是否可以选用join factorization,现在我们禁用它*/ SQL> explain plan for 2 select * from yya join yyb on yya.id1=yyb.id1 3 union all 4 select * from yya join yyb on yya.id1=yyb.id1; Explained. SQL> select * from table(dbms_xplan.display); PLAN_TABLE_OUTPUT ---------------------------------------------------------------------------------------------------- Plan hash value: 3439541885 ---------------------------------------------------------------------------- | Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time | ---------------------------------------------------------------------------- | 0 | SELECT STATEMENT | | 40000 | 1992K| 66 (52)| 00:00:01 | | 1 | UNION-ALL | | | | | | |* 2 | HASH JOIN | | 20000 | 996K| 33 (4)| 00:00:01 | | 3 | TABLE ACCESS FULL| YYA | 20000 | 234K| 16 (0)| 00:00:01 | | 4 | TABLE ACCESS FULL| YYB | 20000 | 761K| 16 (0)| 00:00:01 | |* 5 | HASH JOIN | | 20000 | 996K| 33 (4)| 00:00:01 | | 6 | TABLE ACCESS FULL| YYA | 20000 | 234K| 16 (0)| 00:00:01 | | 7 | TABLE ACCESS FULL| YYB | 20000 | 761K| 16 (0)| 00:00:01 | ---------------------------------------------------------------------------- Predicate Information (identified by operation id): --------------------------------------------------- 2 - access("YYA"."ID1"="YYB"."ID1") 5 - access("YYA"."ID1"="YYB"."ID1") /*禁用链接因式分解后,Oracle使用了常规的"笨办法",成本上升到66*/ /*有趣的是下面的测试*/ SQL> alter session set "_optimizer_join_factorization"=true; Session altered. SQL> create table yyc as select * from yyb; Table created. SQL> explain plan for 2 select * from yya,yyc where yya.id1=yyc.id1 3 union all 4 select * from yya,yyb where yya.id1=yyb.id1; Explained. SQL> select * from table(dbms_xplan.display); PLAN_TABLE_OUTPUT ---------------------------------------------------------------------------------------------------- Plan hash value: 4240055274 ---------------------------------------------------------------------------- | Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time | ---------------------------------------------------------------------------- | 0 | SELECT STATEMENT | | 40000 | 1992K| 66 (52)| 00:00:01 | | 1 | UNION-ALL | | | | | | |* 2 | HASH JOIN | | 20000 | 996K| 33 (4)| 00:00:01 | | 3 | TABLE ACCESS FULL| YYA | 20000 | 234K| 16 (0)| 00:00:01 | | 4 | TABLE ACCESS FULL| YYC | 20000 | 761K| 16 (0)| 00:00:01 | |* 5 | HASH JOIN | | 20000 | 996K| 33 (4)| 00:00:01 | | 6 | TABLE ACCESS FULL| YYA | 20000 | 234K| 16 (0)| 00:00:01 | | 7 | TABLE ACCESS FULL| YYB | 20000 | 761K| 16 (0)| 00:00:01 | ---------------------------------------------------------------------------- Predicate Information (identified by operation id): --------------------------------------------------- 2 - access("YYA"."ID1"="YYC"."ID1") 5 - access("YYA"."ID1"="YYB"."ID1") /*confused,Oracle有什么理由在这里反而不用join factorization了呢?看起来短期内join factorization的实际应用还有待"商榷" */ /*10053事件能解释这一问题吗?*/ SQL> alter system flush shared_pool; System altered. SQL> oradebug setmypid; Statement processed. SQL> oradebug event 10053 trace name context forever,level 1; Statement processed. SQL> explain plan for 2 select * from yya join yyb on yya.id1=yyb.id1 3 union all 4 select * from yya join yyc on yya.id1=yyc.id1; Explained. SQL> oradebug event 10053 trace name context off; Statement processed. SQL> oradebug tracefile_name; /home/maclean/app/maclean/diag/rdbms/prod/PROD/trace/PROD_ora_7907.trc view /home/maclean/app/maclean/diag/rdbms/prod/PROD/trace/PROD_ora_7907.trc *********************************** Cost-Based Join Factorization *********************************** Join-Factorization on query block SET$1 (#1) JF: Using search type: exhaustive JF: Generate basic transformation units Validating JF unit: (branch: {2, 3} table: {YYA, YYA}) rejected: join predicates do not match JF: Generate transformation units from basic units JF: No state generated. /*优化器认为其链接谓词不符合使用join factorization的条件,JF题案被驳回,"悬案"!*/
join factorization是很棒的新技术,这点没错,但新技术往往又是horrible(可怕的),最近我常用这个词。我们的问题是不是这个新来的引起的呢?通过join factorization关键字检索MOS,可以发现一个今年(2010)3月出现的Bug 9504322,quote:
Hdr: 9504322 11.2.0.1 RDBMS 11.2.0.1 QRY OPTIMIZER PRODID-5 PORTID-226
Abstract: WRONG RESULTS WITH UNION_ALL AND INLINE VIEWS*** 03/24/10 05:38 am ***
PROBLEM:
--------
Wrong results on 11.2 for queries of type:SELECT * FROM
(
SELECT ... FROM view, table WHERE ...
UNION ALL
SELECT ... FROM view, table WHERE NOT ...
);DIAGNOSTIC ANALYSIS:
--------------------
Problem seen between 10.2.0.4 and 11.2.0.1.
If we remove the use of inline view the correct results are returned.WORKAROUND:
-----------
N/ARELATED BUGS:
-------------REPRODUCIBILITY:
----------------
It is reproducing on generic 11.2.0.1
呵呵,似乎有点眉目了,不过实践是检验真理的唯一标准:
SQL> alter session set "_optimizer_join_factorization"=true; Session altered. SELECT MTL_SECONDARY_INVENTORIES.SECONDARY_INVENTORY_NAME, MTL_SECONDARY_INVENTORIES.ORGANIZATION_ID, MTL_SECONDARY_INVENTORIES.DESCRIPTION, MTL_SECONDARY_INVENTORIES.AVAILABILITY_TYPE, MTL_SECONDARY_INVENTORIES.MATERIAL_ACCOUNT, MTL_SECONDARY_INVENTORIES.MATERIAL_OVERHEAD_ACCOUNT, MTL_SECONDARY_INVENTORIES.RESOURCE_ACCOUNT, MTL_SECONDARY_INVENTORIES.OVERHEAD_ACCOUNT, MTL_SECONDARY_INVENTORIES.OUTSIDE_PROCESSING_ACCOUNT, MTL_SECONDARY_INVENTORIES.ASSET_INVENTORY, MTL_SECONDARY_INVENTORIES.EXPENSE_ACCOUNT, MTL_SECONDARY_INVENTORIES.ENCUMBRANCE_ACCOUNT, MTL_SECONDARY_INVENTORIES.ATTRIBUTE3, MTL_SECONDARY_INVENTORIES.ATTRIBUTE5, WORKFLOW_START_TIMES.WORKFLOW_START_TIME FROM REPEMEAERP.MTL_SECONDARY_INVENTORIES, REPEMEAERP.WORKFLOW_START_TIMES WHERE MTL_SECONDARY_INVENTORIES.DW_UPDATE_DT > TO_DATE('01/01/1900 00:00:00', 'MM/DD/YYYY HH24:MI:SS') AND MTL_SECONDARY_INVENTORIES.DW_UPDATE_DT <= WORKFLOW_START_TIMES.WORKFLOW_START_TIME AND WORKFLOW_START_TIMES.WORKFLOW_NAME = LTRIM(RTRIM('w_int_FreqBatch_EMEA')) /*以上是QUERY A*/ UNION ALL /*以下是QUERY B*/ SELECT DISTINCT 'WORKORDERS', MTL_SECONDARY_INVENTORIES.ORGANIZATION_ID, 'WORK ORDERS WITH WIP AS CATEGORY VALUE', 1, 0, 0, 0, 0, 0, 1, 0, 0, 'MOI', '0', WORKFLOW_START_TIMES.WORKFLOW_START_TIME FROM REPEMEAERP.MTL_SECONDARY_INVENTORIES, EIMMAINT.WORKFLOW_START_TIMES WHERE MTL_SECONDARY_INVENTORIES.DW_UPDATE_DT > TO_DATE('01/01/1900 00:00:00', 'MM/DD/YYYY HH24:MI:SS') AND MTL_SECONDARY_INVENTORIES.DW_UPDATE_DT <= WORKFLOW_START_TIMES.WORKFLOW_START_TIME AND WORKFLOW_START_TIMES.WORKFLOW_NAME = LTRIM(RTRIM('w_int_FreqBatch_EMEA')) / 138 rows selected.
结果和我们猜想的大相径庭,join factorization并非罪魁,找不到终点让我们回到原点。
至此UNION ALL PUSHED PREDICATE有了极大的嫌疑,什么是PUSH PREDICATE?我把它叫做谓词前推,这玩样最早出现在10g上,但一直问题多多!它到底是何种OPERATION呢?让我们来看看下面的例子:
SQL> select * from v$version; BANNER -------------------------------------------------------------------------------- Oracle Database 11g Enterprise Edition Release 11.2.0.1.0 - 64bit Production PL/SQL Release 11.2.0.1.0 - Production CORE 11.2.0.1.0 Production TNS for Linux: Version 11.2.0.1.0 - Production NLSRTL Version 11.2.0.1.0 - Production SQL> create table youyus (t1 int,t2 varchar2(20)); Table created. SQL> alter table youyus add primary key(t1); Table altered. SQL> explain plan for 2 select * 3 from youyus 4 union all 5 select * from youyus; Explained. /*在之后的语句中将用到这个子查询*/ SQL> select * from table(dbms_xplan.display); PLAN_TABLE_OUTPUT ---------------------------------------------------------------------------------------------------- Plan hash value: 1959159425 ----------------------------------------------------------------------------- | Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time | ----------------------------------------------------------------------------- | 0 | SELECT STATEMENT | | 2 | 50 | 4 (50)| 00:00:01 | | 1 | UNION-ALL | | | | | | | 2 | TABLE ACCESS FULL| YOUYUS | 1 | 25 | 2 (0)| 00:00:01 | | 3 | TABLE ACCESS FULL| YOUYUS | 1 | 25 | 2 (0)| 00:00:01 | ----------------------------------------------------------------------------- /*在之后的语句中将用到这个子查询,这里它的"原始"执行计划十分简单*/ SQL> explain plan for 2 select v2.t1, v2.t2 3 from (select t1 from youyus where rownum=1) v1, 4 (select * 5 from youyus 6 union all 7 select * from youyus) v2 8 where v1.t1 = v2.t1; Explained. SQL> select * from table(dbms_xplan.display); PLAN_TABLE_OUTPUT ---------------------------------------------------------------------------------------------------- Plan hash value: 2456530141 ----------------------------------------------------------------------------------------------- | Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time | ----------------------------------------------------------------------------------------------- | 0 | SELECT STATEMENT | | 1 | 27 | 1 (0)| 00:00:01 | | 1 | NESTED LOOPS | | 1 | 27 | 1 (0)| 00:00:01 | | 2 | VIEW | | 1 | 13 | 1 (0)| 00:00:01 | |* 3 | COUNT STOPKEY | | | | | | | 4 | INDEX FULL SCAN | SYS_C0010819 | 1 | 13 | 1 (0)| 00:00:01 | | 5 | VIEW | | 1 | 14 | 0 (0)| 00:00:01 | | 6 | UNION ALL PUSHED PREDICATE | | | | | | | 7 | TABLE ACCESS BY INDEX ROWID| YOUYUS | 1 | 25 | 0 (0)| 00:00:01 | |* 8 | INDEX UNIQUE SCAN | SYS_C0010819 | 1 | | 0 (0)| 00:00:01 | | 9 | TABLE ACCESS BY INDEX ROWID| YOUYUS | 1 | 25 | 0 (0)| 00:00:01 | |* 10 | INDEX UNIQUE SCAN | SYS_C0010819 | 1 | | 0 (0)| 00:00:01 | ----------------------------------------------------------------------------------------------- Predicate Information (identified by operation id): --------------------------------------------------- 3 - filter(ROWNUM=1) 8 - access("YOUYUS"."T1"="V1"."T1") 10 - access("YOUYUS"."T1"="V1"."T1") /* PUSHED PREDICATE将谓词逻辑前推到UNION ALL的子查询中,其优势在于可以避免全表扫描,利用索引*/ SQL> set linesize 100 pagesize 1400; SQL> SQL> explain plan for 2 select /*+ no_push_pred(v2) */ v2.t1, v2.t2 3 from (select t1 from youyus where rownum=1) v1, 4 (select * 5 from youyus 6 union all 7 select * from youyus) v2 8 where v1.t1 = v2.t1; Explained. SQL> select * from table(dbms_xplan.display); PLAN_TABLE_OUTPUT ---------------------------------------------------------------------------------------------------- Plan hash value: 2769827061 ------------------------------------------------------------------------------------- | Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time | ------------------------------------------------------------------------------------- | 0 | SELECT STATEMENT | | 1 | 38 | 6 (17)| 00:00:01 | |* 1 | HASH JOIN | | 1 | 38 | 6 (17)| 00:00:01 | | 2 | VIEW | | 1 | 13 | 1 (0)| 00:00:01 | |* 3 | COUNT STOPKEY | | | | | | | 4 | INDEX FULL SCAN | SYS_C0010819 | 1 | 13 | 1 (0)| 00:00:01 | | 5 | VIEW | | 2 | 50 | 4 (0)| 00:00:01 | | 6 | UNION-ALL | | | | | | | 7 | TABLE ACCESS FULL| YOUYUS | 1 | 25 | 2 (0)| 00:00:01 | | 8 | TABLE ACCESS FULL| YOUYUS | 1 | 25 | 2 (0)| 00:00:01 | ------------------------------------------------------------------------------------- Predicate Information (identified by operation id): --------------------------------------------------- 1 - access("V1"."T1"="V2"."T1") 3 - filter(ROWNUM=1) /*no_push_pred hint让Oracle 放弃使用PUSHED PREDICATE,使用常规UNION-ALL操作后,子查询执行计划回归成全表扫描,整个计划成本上升*/
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Hdr: 7497640 10.2.0.3 RDBMS 10.2.0.3 PARTITIONING PRODID-5 PORTID-23
Abstract: WRONG RESULTS WITH ‘UNION ALL PUSHED PREDICATE’
PROBLEM:
——–
SELECT stmt against table and view which includes UNION ALL
returns wrong results.
The execution plan includs ‘UNION ALL PUSHED PREDICATE’.
DIAGNOSTIC ANALYSIS:
——————–
::: Wrong results case :::
SQL> SELECT v1.col01, COUNT(*)
FROM v1,t2
WHERE ( t2.col02 = v1.col05 and t2.col01 between v1.col10 and v1.col11 )
AND ((v1.col01 between ’03’ AND ’05’) AND t2.col01 = ‘200805’ )
GROUP BY v1.col01;
2 3 4 5
no rows selected
PLAN_TABLE_OUTPUT
——————————————————————
Plan hash value: 2832951603
——————————————————————
| Id | Operation | Name | Rows |
——————————————————————
| 0 | SELECT STATEMENT | | 1043 |
| 1 | HASH GROUP BY | | 1043 |
| 2 | NESTED LOOPS | | 1043 |
|* 3 | TABLE ACCESS FULL | T2 | 4 |
| 4 | VIEW | V1 | 1 |
| 5 | UNION ALL PUSHED PREDICATE | | |
| 6 | PARTITION RANGE ITERATOR | | 901 |
| 7 | PARTITION LIST SINGLE | | 901 |
|* 8 | TABLE ACCESS BY LOCAL INDEX ROWID| T1 | 901 |
|* 9 | INDEX RANGE SCAN | I_T1_6 | 427 |
| 10 | PARTITION RANGE ITERATOR | | 369 |
| 11 | PARTITION LIST SINGLE | | 369 |
|* 12 | TABLE ACCESS BY LOCAL INDEX ROWID| T3 | 369 |
|* 13 | INDEX RANGE SCAN | I_T3_6 | 292 |
——————————————————————
Predicate Information (identified by operation id):
—————————————————
3 – filter(“T2”.”COL01″=’200805′)
8 – filter(“COL01″=”T2”.”COL01″ AND “COL10″=”T2”.”COL01″ AND “COL10″=’200805′)
12 – filter(“COL01″=”T2”.”COL01″ AND “COL10″=”T2”.”COL01″ AND “COL10″=’200805′)
::: Correct results case :::
SQL> alter session set “_push_join_union_view” = false;
Session altered.
SQL> SELECT v1.col01, COUNT(*)
FROM v1,t2
WHERE ( t2.col02 = v1.col05 and t2.col01 between v1.col10 and v1.col11 )
AND ((v1.col01 between ’03’ AND ’05’) AND t2.col01 = ‘200805’ )
GROUP BY v1.col01;
2 3 4 5
CO COUNT(*)
— ———-
04 450000
03 450000
05 450000
PLAN_TABLE_OUTPUT
—————————————————–
Plan hash value: 2214234359
—————————————————–
| Id | Operation | Name | Rows |
—————————————————–
| 0 | SELECT STATEMENT | | 1043 |
| 1 | HASH GROUP BY | | 1043 |
|* 2 | HASH JOIN | | 1043 |
|* 3 | TABLE ACCESS FULL | T2 | 4 |
| 4 | VIEW | V1 | 1820K|
| 5 | UNION-ALL | | |
| 6 | PARTITION RANGE ITERATOR| | 1081K|
| 7 | PARTITION LIST ALL | | 1081K|
|* 8 | TABLE ACCESS FULL | T1 | 1081K|
| 9 | PARTITION RANGE ITERATOR| | 738K|
| 10 | PARTITION LIST ALL | | 738K|
|* 11 | TABLE ACCESS FULL | T3 | 738K|
—————————————————–
Predicate Information (identified by operation id):
—————————————————
2 – access(“T2″.”COL02″=”V1”.”COL05″)
filter(“T2″.”COL01″>=”V1”.”COL10″ AND “T2”.”COL01″<="V1"."COL11")
3 – filter("T2"."COL01"='200805')
8 – filter("COL01"<='05' AND "COL10"=’200805′)
11 – filter(“COL01″<='05' AND "COL10"=’200805′)
WORKAROUND:
———–
set any of the following hidden parameters
“_push_join_union_view” = false
“_optimizer_push_pred_cost_based” = false
“_optimizer_cost_based_transformation” = off
the following parameters don’t help this problem.
“_push_join_predicate” = false
“_pre_rewrite_push_pred” = false
“_spr_push_pred_refspr” = false
“_push_join_union_view2” = false
“_complex_view_merging” = false
RELATED BUGS:
————-
none
REPRODUCIBILITY:
—————-
Rep? Platform RDBMS Ver.
——- ———————————— ———-
Y(100%) 23 – Sun Solaris SPARC (64-bit) 10.2.0.3.0
Y(100%) 46 – Linux x86 10.2.0.3.0
Y(100%) 46 – Linux x86 10.2.0.4.0
Y(100%) 46 – Linux x86 11.1.0.7.0
TEST CASE:
———-
STACK TRACE:
————
none
SUPPORTING INFORMATION:
———————–
24 HOUR CONTACT INFORMATION FOR P1 BUGS:
—————————————-
none
DIAL-IN INFORMATION:
——————–
none
IMPACT DATE:
————
RELEASE NOTES:
]]Wrong results when union all pushed pred and partition pruning
REDISCOVERY INFORMATION:
Yes (Till 9i)
WORKAROUND:
No (merged to main branch)
Rediscovery Information:
1. Wrong results
2. Pushed join predicate missing from the final plan
3. column in join pred part of partition or sub-partition key
Workaround:
Disable JPPD
Release Notes:
]]Wrong results union all pushed pred and partition pruning.
Hdr: 2786409 9.2.0.2.0 RDBMS 9.2.0.2.0 QRY OPTIMIZER PRODID-5 PORTID-23
Abstract: INCORRECT RESULTS WITH PUSH PREDICATE WITH INLINE VIEW
PROBLEM:
——–
When trying to run a select query taken out of the plsql code generated by
Oracle Warehouse Builder 9i, a lot more rows(thousands) were returned than
expected.
After adding hint, no_push_pred to the query, the correct number of rows were
returned.
The same query ran fine with or without the hint in 8.1.7.
DIAGNOSTIC ANALYSIS:
——————–
I was able to reproduce problem on 9.2.0.2.0 – 64bit
V920U6 database located on
[rmtdcsol1]/u02/home/usupport/srmills/2758327.995>
OS user usupport
Oracle scott/tiger
With the hint /*+ no_push_pred */ the result set is 250 rows.
If set optimizer mode to rule also get 250 rows.
When the hint is removed the result set is in the thousands and
default of PUSH_JOIN_PREDICATE =true
WORKAROUND:
———–
Add hint /*+ no_push_pred */
or could set at instance level.
However, this is true by default on 9.2 and should work without intervention.
RELATED BUGS:
————-
REPRODUCIBILITY:
—————-
Reproducible on solaris 64 bit 9.2.0.2
TEST CASE:
———-
Files uploaded for test case.
test.sql contains the sql query
Export file expdat.dmp containing tables for test.
STACK TRACE:
————
SUPPORTING INFORMATION:
———————–
24 HOUR CONTACT INFORMATION FOR P1 BUGS:
—————————————-
DIAL-IN INFORMATION:
——————–
IMPACT DATE:
————
Uploaded test files to ess30
export is user level export.
rdbms/src/server/optim/vwsubq/vop.c
tkmain_0/tkoq/sql/tkoqbug.sql
tkmain_0/tkoq/log/tkoqbug.log
Rediscovery Information: incorrect answer disappears when predicates are not
pushed
Workaround: use no_push_pred hint
Release Notes: none
]]
Hdr: 6972343 10.2.0.4 RDBMS 10.2.0.4 QRY OPTIMIZER PRODID-5 PORTID-226
Abstract: WRONG RESULT WITH PUSH PREDICATE AND “_OPTIMIZER_COST_BASED_TRANSFORMATION”
Product: RDBMS (10.2.0.4.0) Rdbms: 10.2.0.4.0
Platform: Linux x86-64 (226) (SLES9)
PROBLEM:
——–
1. Clear description of the problem encountered:
wrong results query when push predicate and
“_optimizer_cost_based_transformation”
is set when using no statistics or analyze statistics
2. Pertinent configuration information (MTS/OPS/distributed/etc)
na
3. Indication of the frequency and predictability of the problem
reproduces
4. Sequence of events leading to the problem
run testcase
DIAGNOSTIC ANALYSIS:
——————–
Uploaded
ll.sql is testcase
right result is 1 row, wrong result is multiple rows
v10204_ora_23911_10046.trc has right and wrong result
out10204.trc is tkprof version of v10204_ora_23911_10046.trc
no statistics gives wrong result
analyze gives wrong result ( is depreciated )
=> dbms_stats gives correct result
WORKAROUND:
———–
set alter session set “_optimizer_cost_based_transformation” =off;
generates right result
RELATED BUGS:
————-
none found
REPRODUCIBILITY:
—————-
every time for
1. State if the problem is reproducible; indicate where and predictability
YES reproduce 10.2.0.4
Solaris Operating System (SPARC 64-bit) (23) (8)
Linux x86-64 (226) (SLES9)
2. List the versions in which the problem has reproduced
10.2.0.4
11.1.0.6
3. List any versions in which the problem has not reproduced
9.2.0.8
10.2.0.3
TEST CASE:
———-
ll.sql
STACK TRACE:
————
SUPPORTING INFORMATION:
———————–
24 HOUR CONTACT INFORMATION FOR P1 BUGS:
—————————————-
DIAL-IN INFORMATION:
——————–
IMPACT DATE:
————
RELEASE NOTES:
REDISCOVERY INFORMATION:
Wrong results with join predicate pushdown and transitive predicate generation.
If the wrong result goes away when you disable JPPD (set “_optimizer_push_pre
d_cost_based” to false) OR you set _optimizer_enhanced_filter_push to false, th
en this may be the bug.
WORKAROUND:
Disable join predicate pushdown.
这个case最后通过apply patch 9035438解决了:
Bug 9035438 Wrong Results with UNION ALL and DISTINCT in the branches
The content was last updated on: 28-JUL-2010
Click here for details of each of the sections below.
Affects:
Product (Component) Oracle Server (Rdbms)
Range of versions believed to be affected Versions >= 11.2.0.1 but BELOW 11.2.0.2
Versions confirmed as being affected
* 11.2.0.1
Platforms affected Generic (all / most platforms affected)
Fixed:
This issue is fixed in
* 11.2.0.2 (Server Patch Set)
* 11.2.0.1 Patch 1 on Windows Platforms
Symptoms:
Related To:
* Wrong Results
* Optimizer
* _optimizer_join_factorization
* Optimizer Feature JF
Description
Wrong Results (less rows) are possible on UNION ALL queries that have
DISTINCT in some of the branches.
This fix prevents “Join Factoring” on the branches with DISTINCT.
Workaround
_optimizer_join_factorization=false