The CMYK values change between FH and Photoshop

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  Hi all
  
  My colleague posted a similar question a few days before. Happened because of some bad index. But now we are in a strange situation.
  
  DB:
  

  SQL> select * from v$version;
  
  BANNER
  ----------------------------------------------------------------
  Oracle Database 10g Enterprise Edition Release 10.2.0.1.0 - Prod
  PL/SQL Release 10.2.0.1.0 - Production
  CORE    10.2.0.1.0      Production
  TNS for 32-bit Windows: Version 10.2.0.1.0 - Production
  NLSRTL Version 10.2.0.1.0 - Production

  We use the query below and was working fine until 13.
  

  SQL> explain plan for
    2  SELECT *
    3    FROM gacc_dtl_v1  acc,
    4         gcus_dtl_v1  cus,
    5         gtxn_dtl_v1  txn
    6   WHERE txn.customer_id = cus.customer_number(+)
    7   AND txn.batch_id = cus.batch_id(+)
    8   AND txn.account_number = acc.id
    9   AND acc.batch_id = '130609'
   10   AND cus.batch_id(+) = '130609'
   11   AND txn.batch_id = '130609' AND cus.target IN ('30');
  
  Explained.
  
  SQL> select * from table(dbms_xplan.display);
  
  PLAN_TABLE_OUTPUT
  -------------------------------------------------------------------------------------------------------------
  Plan hash value: 566819363
  
  -------------------------------------------------------------------------------------------------------------
  | Id  | Operation                     | Name                | Rows  | Bytes |TempSpc| Cost (%CPU)| Time     |
  -------------------------------------------------------------------------------------------------------------
  |   0 | SELECT STATEMENT              |                     |     1 |   947 |       | 16963   (1)| 00:03:24 |
  |   1 |  NESTED LOOPS                 |                     |     1 |   947 |       | 16963   (1)| 00:03:24 |
  |*  2 |   HASH JOIN                   |                     |    41 | 26322 |  9136K| 16799   (1)| 00:03:22 |
  |*  3 |    TABLE ACCESS BY INDEX ROWID| GTXN_DTL_V1         | 31055 |  8764K|       |  2430   (1)| 00:00:30 |
  |*  4 |     INDEX RANGE SCAN          | GTXN_V1_BATCHID_NDX | 60524 |       |       |   156   (2)| 00:00:02 |
  |*  5 |    TABLE ACCESS BY INDEX ROWID| GCUS_DTL_V1         |   176K|    59M|       | 10869   (1)| 00:02:11 |
  |*  6 |     INDEX RANGE SCAN          | IDX_CUS2_V1         |   198K|       |       |   527   (2)| 00:00:07 |
  |   7 |   TABLE ACCESS BY INDEX ROWID | GACC_DTL_V1         |     1 |   305 |       |     4   (0)| 00:00:01 |
  |*  8 |    INDEX RANGE SCAN           | GACC_DTL_V1_IDX     |     1 |       |       |     3   (0)| 00:00:01 |
  -------------------------------------------------------------------------------------------------------------
  
  Predicate Information (identified by operation id):
  ---------------------------------------------------
  
     2 - access("TXN"."CUSTOMER_ID"="CUS"."CUSTOMER_NUMBER" AND "TXN"."BATCH_ID"="CUS"."BATCH_ID")
     3 - filter("TXN"."CUSTOMER_ID" IS NOT NULL)
     4 - access("TXN"."BATCH_ID"='130609')
     5 - filter("CUS"."TARGET"='30')
     6 - access("CUS"."BATCH_ID"='130609')
     8 - access("TXN"."ACCOUNT_NUMBER"="ACC"."ID" AND "ACC"."BATCH_ID"='130609')
         filter(SUBSTR("TXN"."ACCOUNT_NUMBER",1,3)=SUBSTR("ACC"."ID",1,3))
  
  26 rows selected.

  It shows a hash join and nested with cost 16963 loops and gives the result in 2-3 seconds. It gives the same plan to explain even now if we use batch_id = '130609'
  
  Now all of a sudden from yesterday it gives different explain the plan below. Only difference in the query below is the value of batch_id

  SQL> explain plan for
    2  SELECT *
    3    FROM gacc_dtl_v1  acc,
    4         gcus_dtl_v1  cus,
    5         gtxn_dtl_v1  txn
    6   WHERE txn.customer_id = cus.customer_number(+)
    7   AND txn.batch_id = cus.batch_id(+)
    8   AND txn.account_number = acc.id
    9   AND acc.batch_id = '150609'
   10   AND cus.batch_id(+) = '150609'
   11   AND txn.batch_id = '150609' AND cus.target IN ('30');
  
  Explained.
  
  SQL> select * from table(dbms_xplan.display);
  
  PLAN_TABLE_OUTPUT
  ------------------------------------------------------------------------------------------------------------
  Plan hash value: 773603995
  
  --------------------------------------------------------------------------------------------------------
  | Id  | Operation                     | Name                   | Rows  | Bytes | Cost (%CPU)| Time     |
  --------------------------------------------------------------------------------------------------------
  |   0 | SELECT STATEMENT              |                        |     1 |   947 |    77   (0)| 00:00:01 |
  |   1 |  NESTED LOOPS                 |                        |     1 |   947 |    77   (0)| 00:00:01 |
  |   2 |   NESTED LOOPS                |                        |     1 |   594 |    73   (0)| 00:00:01 |
  |   3 |    TABLE ACCESS BY INDEX ROWID| GACC_DTL_V1            |     1 |   305 |     4   (0)| 00:00:01 |
  |*  4 |     INDEX RANGE SCAN          | GACC_DTL_BATCH_ID_INDX |     1 |       |     3   (0)| 00:00:01 |
  |*  5 |    TABLE ACCESS BY INDEX ROWID| GTXN_DTL_V1            |     1 |   289 |    69   (0)| 00:00:01 |
  |*  6 |     INDEX RANGE SCAN          | IDX_TXN2_V1            |   125 |       |    12   (0)| 00:00:01 |
  |*  7 |   TABLE ACCESS BY INDEX ROWID | GCUS_DTL_V1            |     1 |   353 |     4   (0)| 00:00:01 |
  |*  8 |    INDEX RANGE SCAN           | IDX_CUS3_V1            |     1 |       |     3   (0)| 00:00:01 |
  --------------------------------------------------------------------------------------------------------
  
  Predicate Information (identified by operation id):
  ---------------------------------------------------
  
     4 - access("ACC"."BATCH_ID"='150609')
     5 - filter("TXN"."CUSTOMER_ID" IS NOT NULL AND "TXN"."BATCH_ID"='150609')
     6 - access("TXN"."ACCOUNT_NUMBER"="ACC"."ID")
         filter(SUBSTR("TXN"."ACCOUNT_NUMBER",1,3)=SUBSTR("ACC"."ID",1,3))
     7 - filter("CUS"."TARGET"='30')
     8 - access("CUS"."BATCH_ID"='150609' AND "TXN"."CUSTOMER_ID"="CUS"."CUSTOMER_NUMBER")
         filter("TXN"."BATCH_ID"="CUS"."BATCH_ID")
  
  26 rows selected.

  It shows two loops nested with cost 77, but works for hours. Very very slow.. No idea what's going on...
  

   select i.table_name,i.index_name,index_type,c.column_name,c.column_position,e.column_expression
     from all_indexes i, all_ind_columns c,all_ind_expressions e
     where c.index_name = i.index_name
     and e.index_name(+) = i.index_name
     and i.table_name in ('GCUS_DTL_V1','GACC_DTL_V1','GTXN_DTL_V')
     order by 1,2,4
  
  TABLE_NAME     INDEX_NAME          INDEX_TYPE          COLUMN_NAME     COLUMN_POSITION     COLUMN_EXPRESSION
  --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
  GACC_DTL_V1     GACC_DTL_BATCH_ID_INDX     NORMAL               BATCH_ID          1     
  GACC_DTL_V1     GACC_DTL_V1_IDX          NORMAL               BATCH_ID          2     
  GACC_DTL_V1     GACC_DTL_V1_IDX          NORMAL               ID               1     
  GACC_DTL_V1     GACC_DTL_V1_IDX2     FUNCTION-BASED NORMAL     SYS_NC00101$          1     SUBSTR("ID",1,3)
  GACC_DTL_V1     IDX_ACC1_V1          NORMAL               CATEGORY          1     
  GACC_DTL_V1     IDX_ACC3_V1          FUNCTION-BASED NORMAL     SYS_NC00099$          1     "CUSTOMER_NUMBER"||'.'||"LIMIT_REF"
  GACC_DTL_V1     IDX_ACC4_V1          FUNCTION-BASED NORMAL     SYS_NC00100$          1     "CUSTOMER_NUMBER"||'.000'||"LIMIT_REF"
  GACC_DTL_V1     IDX_ACC5_V1          NORMAL               POSTING_RESTRICT     1     
  GACC_DTL_V1     IDX_CUS5_V1          NORMAL               CUSTOMER_NUMBER          1     
  GACC_DTL_V1     IDX_CUS6_V1          NORMAL               LIMIT_REF          1     
  GCUS_DTL_V1     GCUS_DTL_V1_IDX1     NORMAL               CUSTOMER_NUMBER          1     
  GCUS_DTL_V1     IDX_CUS2_V1          NORMAL               BATCH_ID          1     
  GCUS_DTL_V1     IDX_CUS3_V1          NORMAL               BATCH_ID          1     
  GCUS_DTL_V1     IDX_CUS3_V1          NORMAL               CUSTOMER_NUMBER          2     
  GCUS_DTL_V1     IDX_CUS3_V1          NORMAL               INDUSTRY          4     
  GCUS_DTL_V1     IDX_CUS3_V1          NORMAL               SECTOR               3     
  GCUS_DTL_V1     IDX_CUS4_V1          FUNCTION-BASED NORMAL     SYS_NC00078$          1     SUBSTR("DATE_STAMP",1,6)

  We are also do not understand why the filter (SUBSTR ("TXN". ""»(, 1, 3) ACCOUNT_NUMBER = SUBSTR ("VAC". " ID", 1, 3)) is used in both queries.
  
  All tables are analyzed today.
  
  Please share your thoughts on this.
  
  Thanks in advance,
  Jac

  Jac says:

  L     H     NUM_BUCKETS     LAST_ANALYZED     SAMPLE_SIZE     HISTOGRAM
  ------------------------------------------------------------------------------------------------------------------------------------------------
  010109     311208     235     13/Jun/2009     5,343     FREQUENCY
  

  You have a histogram of frequencies on the BATCH_ID column missing at least 2 values according to your index statistics (235 buckets vs 237 separate keys).

  If the value that you use in the query is missing then this could be the explanation for the estimation of cardinality bad (since you're on pre - 10.2.0.4. In 10.2.0.4 that this behavior changes).

  The size of the sample of 5 300 lines is also very low, given the 57,000,000 lines according to the index statistics.

  You have two options (which can be combined):

  -Increase the size of the sample using a parameter explicitly estimate_percent, for example at least 10 percent

  exec DBMS_STATS. GATHER_TABLE_STATS (null, 'GACC_DTL_V1', estimate_percent-online 10, method_opt => 'FOR COLUMNS SIZE 254 BATCH_ID,' waterfall-online fake)

  -Get rid of the histogram

  exec DBMS_STATS. GATHER_TABLE_STATS (null, 'GACC_DTL_V1', method_opt-online 'FOR BATCH_ID COLUMNS SIZE 1', cascade-online fake)

  Note: Is there a particular reason why you store numbers in varchar columns? This might be the reason why Oracle believes that it must generate a histogram using the AUTO SIZE option.

  I tend to promote to remove from the histogram, but you must first verify the data if the BATCH_ID values are spread out and the histogram is reasonable:

  select
          batch_id
        , count(*)
  from
          gacc_dtl_v1
  group by
          batch_id;
  

  No constarints are at the DB level. All are processed Application level.

  Have you checked this in DBA/ALL/USER_CONSTRAINTS?

  It's also a good idea to have constraints at the level of the DB. It keeps your data consistent and quite often helps the optimizer. It allows even 10.2 and later to make things like the elimination of a join table that can make a huge difference in performance.

  Kind regards
  Randolf

  Oracle related blog stuff:
  http://Oracle-Randolf.blogspot.com/

  SQLTools ++ for Oracle (Open source Oracle GUI for Windows):
  http://www.sqltools-plusplus.org:7676 /.
  http://sourceforge.NET/projects/SQLT-pp/

  Published by: Randolf Geist on June 16, 2009 11:48

  Comment added constraints

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