Help needed in writing a query

Hi all,
Following is the structure of my table.
Data
Key Number
Id Number
Value varchar2(100)
activity_name varchar2(100)
Creation_Date Date
Eval_Point varchar2(100)
In the above table Id is the primary key.
The column eval_point holds only two types of entries 'activation' or 'completion'
The activity_name column holds the name of the activity.
The sample entries in the table are as follows
Key Value activity_name Creation_Date Id Eval_Point
260002 XXX assign_1 2007-09-21 16:58:41.920000 951 activation
260002     XXX assign_1 2007-09-21 16:58:43.392000 953     completion
260002     XXX assign_2 2007-09-21 16:59:03.732000 956     activation
260002     XXX assign_2 2007-09-21 16:59:04.112000 954     completion
260002     XXX assign_3 2007-09-21 16:59:24.331000     958     activation
260002     XXX assign_3 2007-09-21 16:59:24.421000     957     completion
i need to write a query which gives me data in the following format
value id start_date end_date
XXX YYY 2007-09-21 16:58:41.920000 2007-09-21 16:58:43.392000
where start_date is the creation date of the 'activation' and end_date is the creation_date of 'completion'.
Can somebody help?
-thanks
lavanya

hello all,
I would like to re frame my question.
this is the output of the base query
select id,instance_key,sensor_target,activity_sensor,creation_date,eval_point from bpel_variable_sensor_values where instance_key=260002;
953     260002     Assign_1     952     2007-09-21 16:58:43.392000     completion
951     260002     Assign_1     952     2007-09-21 16:58:41.920000     activation
956     260002     Assign_2     955     2007-09-21 16:59:03.732000     activation
954     260002     Assign_2     955     2007-09-21 16:59:04.112000     completion
958     260002     Assign_3     959     2007-09-21 16:59:24.331000     activation
957     260002     Assign_3     959     2007-09-21 16:59:24.421000     completion
962     260002     Assign_4     960     2007-09-21 16:59:44.741000     completion
961     260002     Assign_4     960     2007-09-21 16:59:44.640000     activation
964     260002     Assign_5     965     2007-09-21 17:00:05.290000     completion
963     260002     Assign_5     965     2007-09-21 17:00:04.950000     activation
I am trying out this query
select a.instance_key,a.creation_date,b.creation_date,a.id
from bpel_variable_sensor_values a, bpel_variable_sensor_values b
where a.instance_key=b.instance_key
and a.instance_key=260002
and a.eval_point='activation'
and b.eval_point='completion'
and i am getting 25 entries i.e a cartesian product of a.creation_date
260002     2007-09-21 16:58:41.920000     2007-09-21 16:58:43.392000     951
260002     2007-09-21 16:58:41.920000     2007-09-21 16:59:04.112000     951
260002     2007-09-21 16:58:41.920000     2007-09-21 16:59:24.421000     951
260002     2007-09-21 16:58:41.920000     2007-09-21 16:59:44.741000     951
260002     2007-09-21 16:58:41.920000     2007-09-21 17:00:05.290000     951
260002     2007-09-21 16:59:03.732000     2007-09-21 16:58:43.392000     956
260002     2007-09-21 16:59:03.732000     2007-09-21 16:59:04.112000     956
260002     2007-09-21 16:59:03.732000     2007-09-21 16:59:24.421000     956
260002     2007-09-21 16:59:03.732000     2007-09-21 16:59:44.741000     956
260002     2007-09-21 16:59:03.732000     2007-09-21 17:00:05.290000     956
260002     2007-09-21 16:59:24.331000     2007-09-21 16:58:43.392000     958
260002     2007-09-21 16:59:24.331000     2007-09-21 16:59:04.112000     958
260002     2007-09-21 16:59:24.331000     2007-09-21 16:59:24.421000     958
260002     2007-09-21 16:59:24.331000     2007-09-21 16:59:44.741000     958
260002     2007-09-21 16:59:24.331000     2007-09-21 17:00:05.290000     958
260002     2007-09-21 16:59:44.640000     2007-09-21 16:58:43.392000     961
260002     2007-09-21 16:59:44.640000     2007-09-21 16:59:04.112000     961
260002     2007-09-21 16:59:44.640000     2007-09-21 16:59:24.421000     961
260002     2007-09-21 16:59:44.640000     2007-09-21 16:59:44.741000     961
260002     2007-09-21 16:59:44.640000     2007-09-21 17:00:05.290000     961
260002     2007-09-21 17:00:04.950000     2007-09-21 16:58:43.392000     963
260002     2007-09-21 17:00:04.950000     2007-09-21 16:59:04.112000     963
260002     2007-09-21 17:00:04.950000     2007-09-21 16:59:24.421000     963
260002     2007-09-21 17:00:04.950000     2007-09-21 16:59:44.741000     963
260002     2007-09-21 17:00:04.950000     2007-09-21 17:00:05.290000     963
can soembody help me to reduce these to 5 rows.

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    2 - filter( NOT EXISTS (SELECT /*+ */ 0 FROM "TBL_BDA_AGENCY_RESP_REP" "T" WHERE "T"."AGENCY_ID"=:B1
    AND "T"."ISS_GRP_ID"=TO_NUMBER('%')))
    3 - access("I"."ISS_GRP_ID"="J"."ISS_GRP_ID"(+))
    4 - access("SYS_ALIAS_1"."ISS_GRP_ID"="I"."ISS_GRP_ID"(+))
    5 - filter("K"."ATTRIBUTE_VALUE" IS NOT NULL AND "K"."ATTRIBUTE_VALUE" LIKE '%')
    8 - filter(NVL("SYS_ALIAS_1"."RESP_USR_ID",'0') LIKE '%' OR NVL("SYS_ALIAS_1"."RESP_USR_ID",'0')='k')
    10 - filter(NVL("G"."OFFICE_ID",0)=TO_NUMBER('%'))
    13 - access("L"."PROFILE_TYPE_ID"="B"."PROFILE_TYPE_ID")
    14 - filter(UPPER("B"."PROFILE_NM") LIKE '%' AND (TO_CHAR(NVL("B"."PROFILE_ID",0)) LIKE '%' OR
    NVL("B"."PROFILE_ID",0)=TO_NUMBER('a')))
    15 - filter("L"."APPLICATION_CD"='BDA')
    16 - access("B"."PROFILE_ID"="F"."AGENCY_ID"(+))
    18 - access("G"."OFFICE_ID"(+)="F"."OFFICE_ID")
    20 - access("B"."PROFILE_ID"="SYS_ALIAS_1"."AGENCY_ID"(+))
    22 - access("H"."USERID"(+)="SYS_ALIAS_1"."RESP_USR_ID")
    23 - access("K"."ENTITY_ID"='PROFILE.'||TO_CHAR("B"."PROFILE_ID"))
    26 - filter("T"."ISS_GRP_ID"=TO_NUMBER('%'))
    27 - access("T"."AGENCY_ID"=:B1)
    Note: cpu costing is off
    57 rows selected.
    Elapsed: 00:00:01.08
    Please help me.
    Aashish S.

    Hello Eric,
    Here is the code:
    SELECT DISTINCT
    K.ATTRIBUTE_VALUE AGENCY_ID,
    B.PROFILE_NM ,
    NVL(G.OFFICE_DESC,'--') OFFICE_DESC,
    f.OFFICE_ID,
    B.PROFILE_ID,
    '%' ROLE,
    '%' LAYOUT,
    case
    WHEN 'flagB' = '%' THEN
    NVL(J.ISS_GRP_DESC,'BILLING')
    WHEN 'flagO' = '%' THEN
    NVL(J.ISS_GRP_DESC,'ORDERING')
    WHEN 'flag' = '%' THEN
    NVL(J.ISS_GRP_DESC,'BILLING/ORDERING')
    else
    NVL(J.ISS_GRP_DESC,' ')
    END ISS_GRP_DESC,
    DECODE(NVL(H.USERID,' ') ,' ','--','&lt;a sbcuid_in=' || H.USERID || ' target=NEW &gt;'||H.FIRSTNAME || ' ' || H.LASTNAME ||
    '( ' || H.USERID || ' )&lt;/a&gt;' ) USER_NAME
    from
    PROFILE_PORTAL B ,
    TBL_BDA_AGENCY_RESP_REP C ,
    TBL_BDA_AGENCY_OFFICE F,
    TBL_BDA_OFFICE G,
    USERS_PORTAL H,
    TBL_BDA_USR_ISS_GRP I ,
    TBL_BDA_ISS_GROUP J,
    ATTRIBUTE_VALUES_PORTAL K,
    PROFILE_TYPE_PORTAL L
    WHERE
    B.PROFILE_ID = F.AGENCY_ID (+)
    AND B.PROFILE_ID = C.AGENCY_ID (+)
    AND G.OFFICE_ID (+)= F.OFFICE_ID
    AND H.USERID (+)= C.RESP_USR_ID
    AND C.ISS_GRP_ID = I.ISS_GRP_ID (+)
    AND I.ISS_GRP_ID = J.ISS_GRP_ID(+)
    AND 'PROFILE.'||B.PROFILE_ID = K.ENTITY_ID(+)
    AND K.ATTRIBUTE_VALUE IS NOT NULL
    AND L.PROFILE_TYPE_ID = B.PROFILE_TYPE_ID
    AND L.APPLICATION_CD='BDA'
    AND NOT EXISTS
    (SELECT agency_id
    FROM TBL_BDA_AGENCY_RESP_REP t
    WHERE t.ISS_GRP_ID IN (1)
    AND t.AGENCY_ID = C.AGENCY_ID)
    AND K.ATTRIBUTE_VALUE LIKE '%'
    AND UPPER(B.PROFILE_NM) LIKE UPPER('%')
    AND (to_char(NVL(B.PROFILE_ID,0))
    LIKE '%'
    OR NVL(B.PROFILE_ID,0) IN (1))
    AND NVL(G.OFFICE_ID,0) IN (1)
    AND (to_char(NVL(C.RESP_USR_ID,'0'))
    LIKE '%'
    OR NVL(C.RESP_USR_ID,'0') IN ('%'))
    ORDER BY PROFILE_NM
    This is the Query and the query takes some mins. to run in prod environment.
    From the Query plan ,I am not able to get any idea for optimization.
    Now,Can you tell me which steps I need to follow to run it faster and which all modifications should be made?
    Thanks.
    Aashish S.

  • Help needed in writing a function.

    I am using Oracle 11g and SQL plus. I am a complete newbie, so I need some help here in writing a function. I guess my question is more about writing the trigonometric functions within the function.
    latA, longA latB, longB // these are the four input parameters,
    theta = longA - longB
    distX = sin( latA * PI / 180) * sin ( latB * PI /180) + cos ( latA * PI/180) * cos ( latB * PI/180) * cos ( theta * PI / 180)
    distY = acos(distX) // this is arc cosine
    distZ = distY * 180 / PI // PI refers to the mathematical PI
    distP = distZ * 60 * 1.1515; // this value should be returned. Of course the intermediate variable names don't matter.
    Please help. Thanks.

    CREATE OR REPLACE FUNCTION fucntion_name(latA IN NUMBER, longA IN NUMBER, latB IN NUMBER, longB IN NUMBER) RETURN NUMBER
    IS
    pi      CONSTANT NUMBER:=3.14159;
    theta NUMBER;
    distX  NUMBER;
    distY  NUMBER;
    distZ  NUMBER;
    distP  NUMBER;
    BEGIN
    theta :=longA - longB;
    distX :=sin( latA * PI /180) * sin ( latB * PI /180) + cos ( latA * PI/180) * cos ( latB * PI/180) * cos ( theta * PI / 180);
    distY :=acos(distX); --this is arc cosine
    distZ :=distY * 180/PI;  --PI refers to the mathematical PI
    distP :=distZ * 60 * 1.1515; --this value should be returned. Of course the intermediate variable names don't matter.
    RETURN distP;
    END;Edited by: Ora on May 3, 2011 11:46 PM

  • Help needed in framing SQL query.

    Hi,
    I have table having following schema:
    PRODUCT_ID         INT
    DATE                   DATETIME
    ITEMS_SOLD         INT
    This table contains data for a week (sunday to saturday). I want to write an SQL query to get (filter out) PRODUCT_ID of products which has same no. of ITEMS_SOLD for all 7 days. Also for given PRODUCT_ID I need to find the longest period of successive days where the no. of ITEMS_SOLD is same for all days in this period. Eg.(PRODUCT_ID 23 was sold as following along the week in no. of units sold: 4,6,6,6,6,7,4 .So the longest period is *4 days* from Monday to Thursday.) The first condition is special case of second condition where no. of days is 7.
    Any help to get the SQL query will be appreciated.
    Thanks,
    Akshay.

    PRODUCT_ID      DATE           ITEMS_SOLD
    1          10/10/2011     3
    1          11/10/2011     3
    1          12/10/2011     3
    1          13/10/2011     3
    1           16/10/2011     5
    2          10/10/2011     4
    2           11/10/2011     4
    2          12/10/2011     4
    2          13/10/2011     4
    2           14/10/2011     4
    2          15/10/2011     4
    2          16/10/2011     4
    Output:
    PRODUCT_ID ITEMS_SOLD NO_OF_DAYS
    1          3                4     
    2          4               7
    Explanation of results:
    The table to be queried contains data for 1 week: from 10/10/2011(Sunday) to 16/10/2011(Saturday). Now, product with PRODUCT_ID '1' was sold on dates 10,11,12,13,16. Out of these 5 days 3 units were sold on 4 successive days (from 10-13). So output should be like :
    PRODUCT_ID ITEMS_SOLD NO_OF_DAYS
    1          3               4     
    as longest period of successive days is 4 where same no. of units were sold i.e 3 units (other period is of 1 day on 16th ).
    For PRODUCT_ID 2 we have only one period of 7 days where 4 units were sold each day. So we output :
    PRODUCT_ID ITEMS_SOLD NO_OF_DAYS
    2           4               7
    Other case where same PRODUCT_ID have different units sold on each day should be ignored.
    I hope that clarifies the problem more. Let me know in case I have missed out anything which should have been mentioned.
    -Akshay.

  • Help needed on writing a SQL query

    Here is my table that shows records of 3 ORDER_ID (10, 20 and 30). All I need to do is, pick the first record of each order_id and check the event_id, if the event_id is same for the next record, ignore it, else show it and ignore rest all records for that order_id. This way my query output will show only two records for each ORDER_ID. Query should produce records that are in BOLD in the sample data. (Database - 11g)
    Thanks for your help in advance
    ORDER_ID     EVENT_ID     EVNT_DATE     STATE_CODE
    *10     16937555     20100212     COMPLETE*
    10     16937555     20100212     ACTIVE
    *10     16308004     20100129     OCCURRED*
    10     16131904     20100125     ACTIVE
    10     16270684     20100128     OCCURRED
    10     14899116     20091213     ACTIVE
    10     16085672     20100123     COMPLETE
    10     16085673     20100123     OCCURRED
    10     14899119     20100123     COMPLETE
    10     14899120     20100123     COMPLETE
    *20     17134164     20100223     COMPLETE*
    20     17134164     20100223     ACTIVE
    20     17134164     20100223     STARTED
    *20     15479131     20100105     OCCURRED*
    20     15478409     20100105     OCCURRED
    20     15478408     20100105     ACTIVE
    20     15119404     20100105     COMPLETE
    20     14346123     20091129     ACTIVE
    20     15467821     20100104     OCCURRED
    20     14346125     20091216     COMPLETE
    20     14346126     20091215     COMPLETE
    20     14346126     20091214     COMPLETE
    *30     18814670     20100412     COMPLETE*
    30     18814670     20100412     ACTIVE
    *30     18029509     20100320     OCCURRED*
    30     16853720     20100211     ACTIVE
    30     17965764     20100319     OCCURRED
    30     16386708     20100211     COMPLETE
    30     16804451     20100211     OCCURRED
    30     15977897     20100121     ACTIVE
    Edited by: sarvan on Aug 12, 2011 7:16 AM

    try this [Not fully tested]
    SQL> select * from v$version;
    BANNER
    Oracle Database 11g Enterprise Edition Release 11.2.0.2.0 - 64bit Production
    PL/SQL Release 11.2.0.2.0 - Production
    CORE    11.2.0.2.0      Production
    TNS for Linux: Version 11.2.0.2.0 - Production
    NLSRTL Version 11.2.0.2.0 - Production
    Elapsed: 00:00:00.00
    SQL> SELECT *
      2    FROM (SELECT order_id, event_id, evnt_date, state_code, next_evntid,
      3                 ROW_NUMBER () OVER (PARTITION BY event_id ORDER BY NULL)
      4                                                                       AS rownm
      5            FROM (WITH t AS
      6                       (SELECT 10 AS order_id, 16937555 AS event_id,
      7                               20100212 AS evnt_date, 'COMPLETE' AS state_code
      8                          FROM DUAL
      9                        UNION ALL
    10                        SELECT 10, 16937555, 20100212, 'ACTIVE'
    11                          FROM DUAL
    12                        UNION ALL
    13                        SELECT 10, 16308004, 20100129, 'OCCURRED'
    14                          FROM DUAL
    15                        UNION ALL
    16                        SELECT 10, 16131904, 20100125, 'ACTIVE'
    17                          FROM DUAL
    18                        UNION ALL
    19                        SELECT 10, 16270684, 20100128, 'OCCURRED'
    20                          FROM DUAL
    21                        UNION ALL
    22                        SELECT 20, 17134164, 20100223, 'COMPLETE'
    23                          FROM DUAL
    24                        UNION ALL
    25                        SELECT 20, 17134164, 20100223, 'ACTIVE'
    26                          FROM DUAL
    27                        UNION ALL
    28                        SELECT 20, 17134164, 20100223, 'STARTED'
    29                          FROM DUAL
    30                        UNION ALL
    31                        SELECT 20, 15479131, 20100105, 'OCCURRED'
    32                          FROM DUAL)  -- End of test data
    33                  SELECT order_id, event_id, evnt_date, state_code,
    34                         LEAD (event_id, 1, 0) OVER (PARTITION BY order_id ORDER BY NULL)
    35                                                                 AS next_evntid
    36                    FROM t)
    37           WHERE event_id = next_evntid)
    38   WHERE rownm <= 2
    39  /
      ORDER_ID   EVENT_ID  EVNT_DATE STATE_CO NEXT_EVNTID      ROWNM
            10   16937555   20100212 COMPLETE    16937555          1
            20   17134164   20100223 COMPLETE    17134164          1
            20   17134164   20100223 ACTIVE      17134164          2
    Elapsed: 00:00:00.00
    SQL> PS - You should seriously think about ordering the data before you do this kind off operations.
    Edited by: Sri on Aug 12, 2011 9:12 AM

  • Need help in re-writing a query

    SELECT DDQ.DS_PRS_ID,TO_CHAR(DDQ.DEACTIVATE_DT,'DD-MON-YYYY HH24:MI'),
    TO_CHAR(SYSDATE+NVL(L.GMT_OFFSET,0)/24,'DD-MON-YYYY HH24:MI'),
    PCWI.PRS_ID,mcr_pkg_hra_person_name.get_tc_full_name(PCWI.prs_last_nm,
    PCWI.prs_first_nm,PCWI.prs_middle_init,PCWI.prs_pref_nm,
    PCWI.ROLE_TYPE_CD),TO_CHAR(PCWI.termn_dt,'DD-MON-YYYY HH24:MI'),
    MOF.OFFER_STATUS_CD, TO_CHAR(NVL(MOF.ADJ_START_DT,START_DT),'DD-MON-YYYY HH24:MI'),
    TO_CHAR(OFFER_STATUS_DT, 'DD-MON-YYYY HH24:MI') /* Added by Ashwin for Radar 3160778 */
    FROM MER_OFFER_FORM MOF, LOC L, PRS_CUR_WORK_INFO PCWI, DS_DEACTIVATE_QUEUE DDQ
    WHERE DDQ.DS_PRS_ID > 0
    AND PCWI.DS_PRS_ID = DDQ.DS_PRS_ID
    AND L.LOC_CD = PCWI.LOC_CD
    AND MOF.DS_PRS_ID(+) = PCWI.DS_PRS_ID;
    The above gives the following output.
    4519     29-NOV-2006 23:59     18-DEC-2007 19:33     14626     Larson, Marianne     29-NOV-2006 00:00     10     01-SEP-2007 00:00     03-DEC-2007 15:41
    4519     29-NOV-2006 23:59     18-DEC-2007 19:33     14626     Larson, Marianne     29-NOV-2006 00:00     10     11-MAR-1998 00:00     19-MAR-1998 16:51
    130516250     26-JAN-2007 23:59     C429219     18-DEC-2007 19:39     *GIROUX, DAVID A.          10     19-AUG-2006 00:00     15-AUG-2006 15:45
    130516250     26-JAN-2007 23:59     C429219     18-DEC-2007 19:39     *GIROUX, DAVID A.          10     11-JUN-2006 00:00     09-JUN-2006 15:27
    I want to select distinct DDQ.DS_PRS_ID and minmum OFFER_STATUS_DT among the duplicate DDQ.DS_PRS_ID.
    I somehow want to avoid duplicate DDQ.DS_PRS_ID here (Distinct clause does not work. And we cant remove outer join condition from the above query).
    Could you please suggest me the query for this?
    Regards,
    Chandra Bhushan Bakshi

    Can you not just do something like
    SELECT ddq.ds_prs_id, TO_CHAR (ddq.deactivate_dt, 'DD-MON-YYYY HH24:MI'),
           TO_CHAR (SYSDATE + NVL (l.gmt_offset, 0) / 24, 'DD-MON-YYYY HH24:MI'),
           pcwi.prs_id,
           mcr_pkg_hra_person_name.get_tc_full_name (pcwi.prs_last_nm,
                                                     pcwi.prs_first_nm,
                                                     pcwi.prs_middle_init,
                                                     pcwi.prs_pref_nm,
                                                     pcwi.role_type_cd
           TO_CHAR (pcwi.termn_dt, 'DD-MON-YYYY HH24:MI'), mof.offer_status_cd,
           TO_CHAR (NVL (mof.adj_start_dt, start_dt), 'DD-MON-YYYY HH24:MI'),
           TO_CHAR (offer_status_dt, 'DD-MON-YYYY HH24:MI')
      FROM mer_offer_form mof,
           loc l,
           prs_cur_work_info pcwi,
           ds_deactivate_queue ddq
    WHERE ddq.ds_prs_id > 0
       AND pcwi.ds_prs_id = ddq.ds_prs_id
       AND l.loc_cd = pcwi.loc_cd
       AND mof.ds_prs_id(+) = pcwi.ds_prs_id
       AND mof.offer_status_dt(+) = (select min(offer_status_dt)
                                     from mer_offer_form mof2
                                     where ds_prs_id = ddq.ds_prs_id)

  • Help needed in tuning this query

    This is the SQL i would like to tune for performace...
    The table structure is given below.
    The table has about 2 million rows.
    From the second day onwards only around 10% of records will be between Load_Start_Time and Load_End_Time. Among these around 50% will have THAMES_URN_WITH_ROLE_SUFFIX as 'TP%'. At present there are unique and primary key indexes on THAMES_URN_WITH_ROLE_SUFFIX .
    I'm sure that we need a b-tree index on STG_UPDATE_DATE_TIME as it is the column with good selectivity.
    I'm primarily concerned about the substr, instr and reverese on THAMES_URN_WITH_ROLE_SUFFIX.
    Also pls. let me know if the order of predicates is right.
    Thanks in advance.
    SELECT TPD_STG_TL_SF_LEGAL_OWNER.THAMES_URN, TPD_STG_TL_SF_LEGAL_OWNER.UPDATE_SOURCE, TPD_STG_TL_SF_LEGAL_OWNER.SOURCE_EXTRACT_DATE_TIME, TPD_STG_TL_SF_LEGAL_OWNER.LEGAL_OWNERSHIP_ISSUE_IND, TPD_STG_TL_SF_LEGAL_OWNER.CONTACTABLE_INDICATOR, TPD_STG_TL_SF_LEGAL_OWNER.ADMIN_CONTROL_INDICATOR, TPD_STG_TL_SF_LEGAL_OWNER.BANKRUPTCY_INDICATOR, TPD_STG_TL_SF_LEGAL_OWNER.ASSIGNED_INDICATOR, TPD_STG_TL_SF_LEGAL_OWNER.IN_TRUST_INDICATOR, TPD_STG_TL_SF_LEGAL_OWNER.DIVORCE_CASE_INDICATOR, TPD_STG_TL_SF_LEGAL_OWNER.POA_COP_INDICATOR, TPD_STG_TL_SF_LEGAL_OWNER.CLEANSING_STATUS, TPD_STG_TL_SF_LEGAL_OWNER.CATEGORY
    FROM
    TPD_STG_TL_SF_LEGAL_OWNER
    WHERE
    ((TPD_STG_TL_SF_LEGAL_OWNER.STG_UPDATE_DATE_TIME > '$$Load_Start_Time'
    AND
    TPD_STG_TL_SF_LEGAL_OWNER.STG_UPDATE_DATE_TIME <= '$$Load_End_Time')
    OR
    (TPD_STG_TL_SF_LEGAL_OWNER.TPDB_PROCESSED_IDENTIFIER != 'Y') )
    AND
    SUBSTR(TPD_STG_TL_SF_LEGAL_OWNER.THAMES_URN_WITH_ROLE_SUFFIX,1,2)='TP'
    AND
    SUBSTR(REVERSE( TPD_STG_TL_SF_LEGAL_OWNER.THAMES_URN_WITH_ROLE_SUFFIX),INSTR(REVERSE( TPD_STG_TL_SF_LEGAL_OWNER.THAMES_URN_WITH_ROLE_SUFFIX),'-',1)-1,1)!='S'
    ========================================
    CREATE TABLE TPD_STG_TL_SF_LEGAL_OWNER
    THAMES_URN VARCHAR2(35 BYTE) NOT NULL,
    UPDATE_SOURCE VARCHAR2(3 BYTE),
    SOURCE_EXTRACT_DATE_TIME DATE,
    LEGAL_OWNERSHIP_ISSUE_IND CHAR(1 BYTE),
    CONTACTABLE_INDICATOR CHAR(1 BYTE),
    ADMIN_CONTROL_INDICATOR CHAR(1 BYTE),
    BANKRUPTCY_INDICATOR CHAR(1 BYTE),
    ASSIGNED_INDICATOR CHAR(1 BYTE),
    IN_TRUST_INDICATOR CHAR(1 BYTE),
    DIVORCE_CASE_INDICATOR CHAR(1 BYTE),
    POA_COP_INDICATOR CHAR(1 BYTE),
    THAMES_URN_WITH_ROLE_SUFFIX VARCHAR2(39 BYTE),
    THAMES_LEGAL_OWNERSHIP_IND CHAR(1 BYTE),
    PRODUCT_HOLDING_ROLE_TYPE VARCHAR2(21 BYTE),
    OWNERSHIP_SPLIT_PERCENTAGE NUMBER(3),
    SOURCE_SYSTEM VARCHAR2(3 BYTE),
    TITLE VARCHAR2(50 BYTE),
    FIRST_NAME VARCHAR2(50 BYTE),
    MIDDLE_INITIAL VARCHAR2(50 BYTE),
    SURNAME VARCHAR2(50 BYTE),
    GENDER CHAR(1 BYTE),
    BIRTH_DATE DATE,
    DEATH_INDICATOR CHAR(1 BYTE),
    DEATH_RECORD_DATE DATE,
    NATIONAL_INSURANCE_NUMBER VARCHAR2(9 BYTE),
    GONE_AWAY_INDICATOR CHAR(1 BYTE),
    ADDRESS_LINE_1 VARCHAR2(50 BYTE),
    ADDRESS_LINE_2 VARCHAR2(50 BYTE),
    ADDRESS_LINE_3 VARCHAR2(50 BYTE),
    ADDRESS_LINE_4 VARCHAR2(50 BYTE),
    ADDRESS_LINE_5 VARCHAR2(50 BYTE),
    POST_CODE VARCHAR2(12 BYTE),
    COUNTRY VARCHAR2(50 BYTE),
    OVERSEAS_ADDRESS_INDICATOR CHAR(1 BYTE),
    ORGANISATION_NAME VARCHAR2(50 BYTE),
    TPDB_PROCESSED_IDENTIFIER CHAR(2 BYTE),
    CLEANSING_STATUS VARCHAR2(30 BYTE),
    CATEGORY VARCHAR2(50 BYTE),
    SCHEME_NAME VARCHAR2(50 BYTE),
    STG_CREATE_DATE_TIME DATE,
    STG_UPDATE_DATE_TIME DATE,
    LAST_UPDATED_DATE_TIME DATE
    TABLESPACE TPDBS01A_DATA
    PCTUSED 0
    PCTFREE 10
    INITRANS 1
    MAXTRANS 255
    STORAGE (
    INITIAL 128K
    NEXT 128K
    MINEXTENTS 1
    MAXEXTENTS 2147483645
    PCTINCREASE 0
    BUFFER_POOL DEFAULT
    LOGGING
    NOCOMPRESS
    NOCACHE
    NOPARALLEL
    MONITORING;
    CREATE UNIQUE INDEX TPD_STG_TL_SF_LEGAL_OWNER_PK ON TPD_STG_TL_SF_LEGAL_OWNER
    (THAMES_URN_WITH_ROLE_SUFFIX)
    LOGGING
    TABLESPACE TPDBS01A_DATA
    PCTFREE 10
    INITRANS 2
    MAXTRANS 255
    STORAGE (
    INITIAL 128K
    NEXT 128K
    MINEXTENTS 1
    MAXEXTENTS 2147483645
    PCTINCREASE 0
    BUFFER_POOL DEFAULT
    NOPARALLEL;
    ALTER TABLE TPD_STG_TL_SF_LEGAL_OWNER ADD (
    CONSTRAINT TPD_STG_TL_SF_LEGAL_OWNER_PK
    PRIMARY KEY
    (THAMES_URN_WITH_ROLE_SUFFIX)
    USING INDEX
    TABLESPACE TPDBS01A_DATA
    PCTFREE 10
    INITRANS 2
    MAXTRANS 255
    STORAGE (
    INITIAL 128K
    NEXT 128K
    MINEXTENTS 1
    MAXEXTENTS 2147483645
    PCTINCREASE 0
    ));

    > If indexes don't help, is the only way to gain REAL
    performance gain on this type of query is to
    partition the table
    If a Full Table Scan on a table takes "too long" (and
    this is purely subjective - "too long" is different
    for every problem) and indexes can't help, and we
    need <100% of the rows, and if partitioning will give
    us the performance we desire, is it OK do it ? Also
    would STG_UPDATE_DATE_TIME be the best column to do a
    index partion ?
    For this type of query, partitioning on STG_UPDATE_DATE_TIME would be good.
    However, partitioning is not done just for one query. It has to fit in your total design. For example, if you are also doing queries with a predicate like <column with a local unique index but not the partition key> = <constant>, it would have to visit all partitions instead of just one, and those queries would take much longer to execute. You can make the index global, but there all kind of maintenance issues with that. In short: be careful about partitioning and think it through first.
    > But is it a good option to partition tables with
    total no. of rows between 2 million and 5 million ? I
    thought partitioning is better done for tables > 20
    million.
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