Everything on monitor is upside down

All icons are upside down. Tool bar is at the top. Mouse pointer is upside down and when you move it up, it goes down and visa versa.

SLT1, welcome to the forum.
You should try pressing the Shift key+Alt+down arrow key.  This should rotate the screen to its normal position.
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  • Response time of query utterly upside down because of small where clause change

    Hello,
    I'm wondering why a small change on a where clause in a query has a dramatic impact on its response time.
    Here is the query, with its plan and a few details:
    select * from (
    SELECT xyz_id, time_oper, ...
         FROM (SELECT 
                        d.xyz_id xyz_id,
                        TO_CHAR (di.time_operation, 'DD/MM/YYYY') time_oper,
                        di.time_operation time_operation,
                        UPPER (d.delivery_name || ' ' || d.delivery_firstname) custname,
                        d.ticket_language ticket_language, d.payed,
                        dsum.delivery_mode delivery_mode,
                        d.station_delivery station_delivery,
                        d.total_price total_price, d.crm_cust_id custid,
                        d.bene_cust_id person_id, d.xyz_num, dpe.ers_pnr ers_pnr,
                        d.delivery_name,
                        TO_CHAR (dsum.first_travel_date, 'DD/MM/YYYY') first_traveldate,
                        d.crm_company custtype, UPPER (d.client_name) partyname,
                        getremark(d.xyz_num) remark,
                        d.client_app, di.work_unit, di.account_unit,
                        di.distrib_code,
                        UPPER (d.crm_name || ' ' || d.crm_firstname) crm_custname,
                       getspecialproduct(di.xyz_id) specialproduct
                   FROM xyz d, xyz_info di, xyz_pnr_ers dpe, xyz_summary dsum
                  WHERE d.cancel_state = 'N'
                 -- AND d.payed = 'N'
                    AND dsum.delivery_mode NOT IN ('DD')
                    AND dsum.payment_method NOT IN ('AC', 'AG')
                    AND d.xyz_blocked IS NULL
                    AND di.xyz_id = d.xyz_id
                    AND di.operation = 'CREATE'
                    AND dpe.xyz_id(+) = d.xyz_id
                    AND EXISTS (SELECT 1
                                  FROM xyz_ticket dt
                                 WHERE dt.xyz_id = d.xyz_id)
                    AND dsum.xyz_id = di.xyz_id
               ORDER BY di.time_operation DESC)
        WHERE ROWNUM < 1002
    ) view
    WHERE view.DISTRIB_CODE in ('NS') AND view.TIME_OPERATION > TO_DATE('20/5/2013', 'dd/MM/yyyy')
    plan with "d.payed = 'N'" (no rows, *extremely* slow):
    | Id  | Operation                          | Name             | Rows  | Bytes | Cost (%CPU)| Time     |
    |   0 | SELECT STATEMENT                   |                  |  1001 |  4166K| 39354   (1)| 00:02:59 |
    |*  1 |  VIEW                              |                  |  1001 |  4166K| 39354   (1)| 00:02:59 |
    |*  2 |   COUNT STOPKEY                    |                  |       |       |            |          |
    |   3 |    VIEW                            |                  |  1001 |  4166K| 39354   (1)| 00:02:59 |
    |   4 |     NESTED LOOPS OUTER             |                  |  1001 |   130K| 39354   (1)| 00:02:59 |
    |   5 |      NESTED LOOPS SEMI             |                  |   970 |   111K| 36747   (1)| 00:02:47 |
    |   6 |       NESTED LOOPS                 |                  |   970 |   104K| 34803   (1)| 00:02:39 |
    |   7 |        NESTED LOOPS                |                  |   970 | 54320 | 32857   (1)| 00:02:30 |
    |*  8 |         TABLE ACCESS BY INDEX ROWID| XYZ_INFO         |    19M|   704M| 28886   (1)| 00:02:12 |
    |   9 |          INDEX FULL SCAN DESCENDING| DNIN_IDX_NI5     | 36967 |       |   296   (2)| 00:00:02 |
    |* 10 |         TABLE ACCESS BY INDEX ROWID| XYZ_SUMMARY      |     1 |    19 |     2   (0)| 00:00:01 |
    |* 11 |          INDEX UNIQUE SCAN         | SB11_DSMM_XYZ_UK |     1 |       |     1   (0)| 00:00:01 |
    |* 12 |        TABLE ACCESS BY INDEX ROWID | XYZ              |     1 |    54 |     2   (0)| 00:00:01 |
    |* 13 |         INDEX UNIQUE SCAN          | XYZ_PK           |     1 |       |     1   (0)| 00:00:01 |
    |* 14 |       INDEX RANGE SCAN             | DNTI_NI1         |    32M|   249M|     2   (0)| 00:00:01 |
    |  15 |      TABLE ACCESS BY INDEX ROWID   | XYZ_PNR_ERS      |     1 |    15 |     4   (0)| 00:00:01 |
    |* 16 |       INDEX RANGE SCAN             | DNPE_XYZ         |     1 |       |     2   (0)| 00:00:01 |
    Predicate Information (identified by operation id):
      1 - filter("DISTRIB_CODE"='NS' AND "TIME_OPERATION">TO_DATE(' 2013-05-20', 'syyyy-mm-dd'))
      2 - filter(ROWNUM<1002)
      8 - filter("DI"."OPERATION"='CREATE')
    10 - filter("DSUM"."DELIVERY_MODE"<>'DD' AND "DSUM"."PAYMENT_METHOD"<>'AC' AND "DSUM"."PAYMENT_METHOD"<>'AG')
    11 - access("DSUM"."XYZ_ID"="DI"."XYZ_ID")
    12 - filter("D"."PAYED"='N' AND "D"."XYZ_BLOCKED" IS NULL AND "D"."CANCEL_STATE"='N')
                  ^^^^^^^^^^^^^^
    13 - access("DI"."XYZ_ID"="D"."XYZ_ID")
    14 - access("DT"."XYZ_ID"="D"."XYZ_ID")
    16 - access("DPE"."XYZ_ID"(+)="D"."XYZ_ID")
    plan with "d.payed = 'N'" (+/- 450 rows, less than two minutes):
    | Id  | Operation                          | Name             | Rows  | Bytes | Cost (%CPU)| Time     |
    |   0 | SELECT STATEMENT                   |                  |  1001 |  4166K| 58604   (1)| 00:04:27 |
    |*  1 |  VIEW                              |                  |  1001 |  4166K| 58604   (1)| 00:04:27 |
    |*  2 |   COUNT STOPKEY                    |                  |       |       |            |          |
    |   3 |    VIEW                            |                  |  1002 |  4170K| 58604   (1)| 00:04:27 |
    |   4 |     NESTED LOOPS OUTER             |                  |  1002 |   130K| 58604   (1)| 00:04:27 |
    |   5 |      NESTED LOOPS SEMI             |                  |  1002 |   115K| 55911   (1)| 00:04:14 |
    |   6 |       NESTED LOOPS                 |                  |  1476 |   158K| 52952   (1)| 00:04:01 |
    |   7 |        NESTED LOOPS                |                  |  1476 | 82656 | 49992   (1)| 00:03:48 |
    |*  8 |         TABLE ACCESS BY INDEX ROWID| XYZ_INFO         |    19M|   704M| 43948   (1)| 00:03:20 |
    |   9 |          INDEX FULL SCAN DESCENDING| DNIN_IDX_NI5     | 56244 |       |   449   (1)| 00:00:03 |
    |* 10 |         TABLE ACCESS BY INDEX ROWID| XYZ_SUMMARY      |     1 |    19 |     2   (0)| 00:00:01 |
    |* 11 |          INDEX UNIQUE SCAN         | AAAA_DSMM_XYZ_UK |     1 |       |     1   (0)| 00:00:01 |
    |* 12 |        TABLE ACCESS BY INDEX ROWID | XYZ              |     1 |    54 |     2   (0)| 00:00:01 |
    |* 13 |         INDEX UNIQUE SCAN          | XYZ_PK           |     1 |       |     1   (0)| 00:00:01 |
    |* 14 |       INDEX RANGE SCAN             | DNTI_NI1         |    22M|   168M|     2   (0)| 00:00:01 |
    |  15 |      TABLE ACCESS BY INDEX ROWID   | XYZ_PNR_ERS      |     1 |    15 |     4   (0)| 00:00:01 |
    |* 16 |       INDEX RANGE SCAN             | DNPE_XYZ         |     1 |       |     2   (0)| 00:00:01 |
    Predicate Information (identified by operation id):
       1 - filter("DISTRIB_CODE"='NS' AND "TIME_OPERATION">TO_DATE(' 2013-05-20', 'syyyy-mm-dd'))
       2 - filter(ROWNUM<1002)
       8 - filter("DI"."OPERATION"='CREATE')
      10 - filter("DSUM"."DELIVERY_MODE"<>'DD' AND "DSUM"."PAYMENT_METHOD"<>'AC' AND "DSUM"."PAYMENT_METHOD"<>'AG')
      11 - access("DSUM"."XYZ_ID"="DI"."XYZ_ID")
      12 - filter("D"."XYZ_BLOCKED" IS NULL AND "D"."CANCEL_STATE"='N')
      13 - access("DI"."XYZ_ID"="D"."XYZ_ID")
      14 - access("DT"."XYZ_ID"="D"."XYZ_ID")
      16 - access("DPE"."XYZ_ID"(+)="D"."XYZ_ID")
    XYZ.PAYED values breakdown:
    P   COUNT(1)
    Y   12202716
    N    9430207
    tables nb of records:
    TABLE_NAME           NUM_ROWS
    XYZ                  21606776
    XYZ_INFO            186301951
    XYZ_PNR_ERS           9716471
    XYZ_SUMMARY          21616607
    Everything that comes inside the "select * from(...) view" parentheses is defined in a view. We've noticed that the line "AND d.payed = 'N'" (commented above) is the guilty clause: the query takes one or two seconds to return between 400 and 500 rows if this line is removed, when included in the query, the response time then switches to *hours* -sic !- but then the result set is empty (no rows returned). The plan is exactly the same whether this "d.payed = 'N'" is added or removed, I mean the nb of steps, access paths, join order etc., only the rows/bytes/cost columns values change, as you can see.
    We've found no other way of solving this perf issue but by taking out this "d.payed = 'N'" condition and setting it outside the view along with view.DISTRIB_CODE and view.TIME_OPERATION.
    But we would like to understand why such a small change on the XYZ.PAYED column turns everything upside down that much, and we'd like to be able to tell the optimizer to perform this check on payed = 'N' by itself in the end, just like we did, through the use of a hint if possible...
    Anybody ever encountered such a behaviour before ? Do you have any advice regarding the use of a hint to reach the same response time as that we've got by setting the payed = N condition outside of the view definition ??
    Thanks a lot in advance.
    Regards,
    Seb

    I am really sorry I couldn't get back earlier to this forum...
    Thanks to you all for your answers.
    First I'd just like to correct a small mistake I made, when writing
    "the query takes one or two seconds": I meant one or 2 *minutes*. Sorry.
    > What table/columns are indexed by "DNTI_NI1"?
    aaaa.dnti_ni1 is an index ON aaaa.xyz_ticket(xyz_id, ticket_status)
    > And what are the indexes on xyz table?
    Too many:
    XYZ_ARCHIV_STATE_IND           ARCHIVE_STATE
    XYZ_BENE_CUST_ID_IND           BENE_CUST_ID
    XYZ_BENE_TTL_IND               BENE_TTL
    XYZ_CANCEL_STATE_IND           CANCEL_STATE
    XYZ_CLIENT_APP_NI              CLIENT_APP
    XYZ_CRM_CUST_ID_IND            CRM_CUST_ID
    XYZ_DELIVE_MODE_IND            DELIVERY_MODE
    XYZ_DELIV_BLOCK_IND            DELIVERY_BLOCKED
    XYZ_DELIV_STATE_IND            DELIVERY_STATE
    XYZ_XYZ_BLOCKED                XYZ_BLOCKED
    XYZ_FIRST_TRAVELDATE_IND       FIRST_TRAVELDATE
    XYZ_MASTER_XYZ_IND             MASTER_XYZ_ID
    XYZ_ORG_ID_NI                  ORG_ID
    XYZ_PAYMT_STATE_IND            PAYMENT_STATE
    XYZ_PK                         XYZ_ID
    XYZ_TO_PO_IDX                  TO_PO
    XYZ_UK                         XYZ_NUM
    For ex. XYZ_CANCEL_STATE_IND on CANCEL_STATE seems superfluous to me, as the column may only contain Y or N (or be null)...
    > Have you traced both cases to compare statistics? What differences did it reveal?
    Yes but it only shows more of *everything* (more tables blocks accessed, the same
    for indexes blocks, for almost all objects involved) for the slowest query !
    Greping WAIT on the two trc files made for every statement and counting the
    object IDs access show that the quicker query requires much less I/Os; the
    slowest one overall needs much more blocks to be read (except for the indexes
    DNSG_NI1 or DNPE_XYZ for example). Below I replaced obj# with the table/index
    name, the first column is the figure showing how many times the object was
    accessed in the 10053 file (I ctrl-C'ed my second execution ofr course, the
    figures should be much higher !!):
    [login.hostname] ? grep WAIT OM-quick.trc|...|sort|uniq -c
        335 XYZ_SUMMARY
      20816 AAAA_DSMM_XYZ_UK (index on xyz_summary.xyz_id)
        192 XYZ
       4804 XYZ_INFO
        246 XYZ_SEGMENT
          6 XYZ_REMARKS
         63 XYZ_PNR_ERS
        719 XYZ_PK           (index on xyz.xyz_id)
       2182 DNIN_IDX_NI5     (index on xyz.xyz_id)
        877 DNSG_NI1         (index on xyz_segment.xyz_id, segment_status)
        980 DNTI_NI1         (index on xyz_ticket.xyz_id, ticket_status)
        850 DNPE_XYZ         (index on xyz_pnr_ers.xyz_id)
    [login.hostname] ? grep WAIT OM-slow.trc|...|sort|uniq -c
       1733 XYZ_SUMMARY
      38225 AAAA_DSMM_XYZ_UK  (index on xyz_summary.xyz_id)
       4359 XYZ
      12536 XYZ_INFO
         65 XYZ_SEGMENT
         17 XYZ_REMARKS
         20 XYZ_PNR_ERS
       8598 XYZ_PK
       7406 DNIN_IDX_NI5
         29 DNSG_NI1
       2475 DNTI_NI1
         27 DNPE_XYZ
    The overwhelmingly dominant wait event is by far 'db file sequential read':
    [login.hostname] ? grep WAIT OM-*elect.txt|cut -d"'" -f2|sort |uniq -c
         36 SQL*Net message from client
         38 SQL*Net message to client
    107647 db file sequential read
          1 latch free
          1 latch: object queue header operation
          3 latch: session allocation
    > It will be worth knowing the estimations...
    It show the same plan with a higher cost when PAYED = N is added:
    SQL> select * from sb11.dnr d
      2* where d.dnr_blocked IS NULL and d.cancel_state = 'N'
    SQL> /
    | Id  | Operation                   | Name                 | Rows  | Bytes | Cost (%CPU)| Time     |
    |   0 | SELECT STATEMENT            |                      |  1002 |   166K|    40   (3)| 00:00:01 |
    |*  1 |  TABLE ACCESS BY INDEX ROWID| XYZ                  |  1002 |   166K|    40   (3)| 00:00:01 |
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