Performance of query in report..

Question

Hi All,
We have the below SQL which is taking 6-8 hrs to execute. Of which 'analysis_results_details' is huge table with 329 million records, its "IOT - TOP" [index oraganised] table.
Can you please suggest some idea how to improve the performance of the query... Apologies if the format is correct tried my best
DB details :- 10g (10.1.0.5.0) - 64 bit.
SELECT   CASE
            WHEN UPPER (a.NAME) LIKE 'PCSUM%UK%RUNOFF%'
               THEN 'UK/Ireland'
            ELSE ctr.region
         END AS region_name,
         t.reinsurance_treatment_desc AS reinsurance_treatment,
         CASE
            WHEN UPPER (a.NAME) LIKE 'PCSUM%UK%RUNOFF%'
               THEN 'UK Runoff'
            ELSE rlc.country_code
         END AS country_code,       
         ars.currency_code, rln.management_line_of_business AS aog_line,
         rln.reserving_class, rln.reserving_line, rln.reserving_line_id,
        CASE
            WHEN UPPER (a.NAME) NOT LIKE 'PCSUMM%'
               THEN ''
            ELSE CASE
            WHEN UPPER (a.NAME) LIKE 'PCSUMM1 %'
               THEN 'Attritional'
            WHEN UPPER (a.NAME) LIKE 'PCSUMM2 %'
               THEN 'Large Loss'
            WHEN UPPER (a.NAME) LIKE 'PCSUMM4 %'
               THEN 'Total'
            ELSE 'Cat'
         END
         END AS claim_type,
        CASE
            WHEN MOD (ard.exposure_period, 100) IN (1, 2, 3)
               THEN TO_DATE
                      (TO_CHAR (TRUNC (ard.exposure_period / 100)) || '0101',
                       'yyyymmdd'
            WHEN MOD (ard.exposure_period, 100) IN (4, 5, 6)
               THEN TO_DATE (   TO_CHAR (TRUNC (ard.exposure_period / 100))
                             || '0401',
                             'yyyymmdd'
            WHEN MOD (ard.exposure_period, 100) IN (7, 8, 9)
               THEN TO_DATE (   TO_CHAR (TRUNC (ard.exposure_period / 100))
                             || '0701',
                             'yyyymmdd'
            WHEN MOD (ard.exposure_period, 100) IN (10, 11, 12)
               THEN TO_DATE (   TO_CHAR (TRUNC (ard.exposure_period / 100))
                             || '1001',
                             'yyyymmdd'
         END AS origin_date,
        CASE
            WHEN MOD (ard.evaluation_period, 100) IN
                                               (1, 2, 3)
               THEN TO_DATE
                      (TO_CHAR (TRUNC (ard.evaluation_period / 100)) || '0331',
                       'yyyymmdd'
            WHEN MOD (ard.evaluation_period, 100) IN (4, 5, 6)
               THEN TO_DATE (   TO_CHAR (TRUNC (ard.evaluation_period / 100))
                             || '0630',
                             'yyyymmdd'
            WHEN MOD (ard.evaluation_period, 100) IN (7, 8, 9)
               THEN TO_DATE (   TO_CHAR (TRUNC (ard.evaluation_period / 100))
                             || '0930',
                             'yyyymmdd'
            WHEN MOD (ard.evaluation_period, 100) IN (10, 11, 12)
               THEN TO_DATE (   TO_CHAR (TRUNC (ard.evaluation_period / 100))
                             || '1231',
                             'yyyymmdd'
         END AS development_date,
         SUM (DECODE (ars.data_type_id, 1, NVL (ard.VALUE, 0), 0)
             ) AS earned_premium,
         SUM (DECODE (ars.data_type_id, 12, NVL (ard.VALUE, 0), 0)
             ) AS paid_losses_and_alae,
         SUM (DECODE (ars.data_type_id, 27, NVL (ard.VALUE, 0), 0)
             ) AS total_incurred_losses_inc_alae,
         SUM (DECODE (ars.data_type_id, 6, NVL (ard.VALUE, 0), 0)
             ) AS paid_loss_total,
         SUM (DECODE (ars.data_type_id, 9, NVL (ard.VALUE, 0), 0)
             ) AS alae_total,
         SUM (DECODE (ars.data_type_id, 13, NVL (ard.VALUE, 0), 0)
             ) AS case_os_total,
         SUM (DECODE (ars.data_type_id, 3, NVL (ard.VALUE, 0), 0)
             ) AS written_premium,                       
         SUM (DECODE (ars.data_type_id, 33, NVL (ard.VALUE, 0), 0)
             ) AS total_claim_counts,                 
         SUM (DECODE (ars.data_type_id, 31, NVL (ard.VALUE, 0), 0)
             ) AS open_claim_counts,                 
         SUM (DECODE (ars.data_type_id, 32, NVL (ard.VALUE, 0), 0)
             ) AS closed_claim_counts,               
         SUM (DECODE (ars.data_type_id, 21, NVL (ard.VALUE, 0), 0)
             ) AS total_case_inc_loss,                     
         SYSDATE AS export_date
    FROM res_line_country rlc,
         res_line_names rln,
         risk_history.analysis_results_criteria arc,
         (SELECT   al.analysis_id,
                   MAX (al.lob_type_id) AS lob_type_id
              FROM analysis_lobs al
          GROUP BY analysis_id) al_types,
         analyses a,
         treatments t,
         risk_history.analysis_lobs al,
         analysis_results_summary ars,
         analysis_results_details ard,
         countries_to_regions ctr,
                  --Created Seperate Table to materialize the inline view - VM
         country_to_bu_map ctbm
   WHERE rlc.lob_value = rln.lob_value
     AND rlc.lob_value = arc.lob_value
     AND al_types.lob_type_id = rln.lob_type_id
     AND a.analysis_id = al_types.analysis_id
     AND a.analysis_id = arc.analysis_id
     AND a.analysis_id = t.analysis_id
     AND al.analysis_id = arc.analysis_id
     AND arc.lob_value = al.lob_value
     AND arc.analysis_criteria_id = ars.analysis_criteria_id
     AND ars.analysis_results_id = ard.analysis_results_id
     AND ctr.country_code = rlc.country_code
     AND ctbm.business_unit = arc.business_unit
     AND rlc.country_code = ctbm.country_code
     AND a.run_frequency !=2
     AND ars.is_non_zero_triangle = 'Y'   
     AND ars.data_type_id IN (1, 12, 27, 6, 9, 13, 3, 33, 31, 32, 21)
     AND NOT UPPER (a.NAME) LIKE 'PCSUMM88%'
     AND arc.lob_value NOT IN  ('ALL', 'SEL') -- get data only for the actual reserving lines
     AND al_types.lob_type_id IN (2, 4)
     AND arc.management_unit != 'SEL'
     AND arc.business_unit NOT IN  ('ALL', 'SEL')
     AND arc.rcc = 'ALL'                    
GROUP BY CASE
            WHEN UPPER (a.NAME) LIKE 'PCSUM%UK%RUNOFF%'
               THEN 'UK/Ireland'
            ELSE ctr.region
         END,
         t.reinsurance_treatment_desc,
         CASE
            WHEN UPPER (a.NAME) LIKE 'PCSUM%UK%RUNOFF%'
               THEN 'UK Runoff'
            ELSE rlc.country_code
         END,
         ars.currency_code,
         rln.management_line_of_business,
         rln.reserving_class,
         rln.reserving_line,
         rln.reserving_line_id,
         CASE
            WHEN UPPER (a.NAME) NOT LIKE 'PCSUMM%'
               THEN ''
            ELSE CASE
            WHEN UPPER (a.NAME) LIKE 'PCSUMM1 %'
               THEN 'Attritional'
            WHEN UPPER (a.NAME) LIKE 'PCSUMM2 %'
               THEN 'Large Loss'
            WHEN UPPER (a.NAME) LIKE 'PCSUMM4 %'
               THEN 'Total'
            ELSE 'Cat'
         END
         END,
         CASE
            WHEN MOD (ard.exposure_period, 100) IN (1, 2, 3)
               THEN TO_DATE (   TO_CHAR (TRUNC (ard.exposure_period / 100))
                             || '0101',
                             'yyyymmdd'
            WHEN MOD (ard.exposure_period, 100) IN (4, 5, 6)
               THEN TO_DATE (   TO_CHAR (TRUNC (ard.exposure_period / 100))
                             || '0401',
                             'yyyymmdd'
            WHEN MOD (ard.exposure_period, 100) IN (7, 8, 9)
               THEN TO_DATE (   TO_CHAR (TRUNC (ard.exposure_period / 100))
                             || '0701',
                             'yyyymmdd'
            WHEN MOD (ard.exposure_period, 100) IN (10, 11, 12)
               THEN TO_DATE (   TO_CHAR (TRUNC (ard.exposure_period / 100))
                             || '1001',
                             'yyyymmdd'
         END,                                             
         CASE
            WHEN MOD (ard.evaluation_period, 100) IN (1, 2, 3)
               THEN TO_DATE (   TO_CHAR (TRUNC (ard.evaluation_period / 100))
                             || '0331',
                             'yyyymmdd'
            WHEN MOD (ard.evaluation_period, 100) IN (4, 5, 6)
               THEN TO_DATE (   TO_CHAR (TRUNC (ard.evaluation_period / 100))
                             || '0630',
                             'yyyymmdd'
            WHEN MOD (ard.evaluation_period, 100) IN (7, 8, 9)
               THEN TO_DATE (   TO_CHAR (TRUNC (ard.evaluation_period / 100))
                             || '0930',
                             'yyyymmdd'
            WHEN MOD (ard.evaluation_period, 100) IN (10, 11, 12)
               THEN TO_DATE (   TO_CHAR (TRUNC (ard.evaluation_period / 100))
                             || '1231',
                             'yyyymmdd') END,SYSDATE
  HAVING (   SUM (DECODE (ars.data_type_id, 1, NVL (ard.VALUE, 0), 0)) <> 0
          OR SUM (DECODE (ars.data_type_id, 12, NVL (ard.VALUE, 0), 0)) <>0
          OR SUM (DECODE (ars.data_type_id, 27, NVL (ard.VALUE, 0), 0)) <>0
          OR SUM (DECODE (ars.data_type_id, 6, NVL (ard.VALUE, 0), 0)) <> 0
          OR SUM (DECODE (ars.data_type_id, 9, NVL (ard.VALUE, 0), 0)) <> 0
          OR SUM (DECODE (ars.data_type_id, 13, NVL (ard.VALUE, 0), 0)) <> 0
          OR SUM (DECODE (ars.data_type_id, 3, NVL (ard.VALUE, 0), 0)) <>0
          OR SUM (DECODE (ars.data_type_id, 33, NVL (ard.VALUE, 0), 0)) <>0
          OR SUM (DECODE (ars.data_type_id, 31, NVL (ard.VALUE, 0), 0)) <>0
          OR SUM (DECODE (ars.data_type_id, 32, NVL (ard.VALUE, 0), 0)) <>0
          OR SUM (DECODE (ars.data_type_id, 21, NVL (ard.VALUE, 0), 0)) <> 0 )
Below is the EXPLAIN PLAN for it
PLAN_TABLE_OUTPUT
Plan hash value: 771711397
| Id  | Operation                                | Name                         | Rows  | Bytes | Cost (%CPU)| Time     |
|   0 | SELECT STATEMENT                         |                              |     1 |   256 |   356   (5)| 00:00:03 |
|*  1 |  FILTER                                  |                              |       |       |            |          |
|   2 |   SORT GROUP BY                          |                              |     1 |   256 |   356   (5)| 00:00:03 |
|   3 |    NESTED LOOPS                          |                              |     1 |   256 |   355   (4)| 00:00:03 |
|   4 |     NESTED LOOPS                         |                              |     1 |   234 |   355   (4)| 00:00:03 |
|   5 |      NESTED LOOPS                        |                              |     1 |   217 |   355   (4)| 00:00:03 |
|   6 |       NESTED LOOPS                       |                              |     2 |   318 |   355   (5)| 00:00:03 |
|   7 |        NESTED LOOPS                      |                              |     1 |   139 |   142  (10)| 00:00:02 |
|   8 |         NESTED LOOPS                     |                              |     1 |   131 |   142  (10)| 00:00:02 |
|   9 |          NESTED LOOPS                    |                              |     1 |   121 |   141  (10)| 00:00:02 |
|* 10 |           HASH JOIN                      |                              |     1 |   111 |   140  (10)| 00:00:02 |
|* 11 |            TABLE ACCESS BY INDEX ROWID   | ANALYSES                     |     1 |    43 |     0   (0)| 00:00:01 |
|  12 |             NESTED LOOPS                 |                              |     1 |    94 |   115   (8)| 00:00:01 |
|  13 |              NESTED LOOPS                |                              |     1 |    51 |   115   (8)| 00:00:01 |
|* 14 |               TABLE ACCESS FULL          | ANALYSIS_RESULTS_SUMMARY     |     1 |    22 |   114   (8)| 00:00:01 |
|* 15 |               TABLE ACCESS BY INDEX ROWID| ANALYSIS_RESULTS_CRITERIA    |     1 |    29 |     1   (0)| 00:00:01 |
|* 16 |                INDEX UNIQUE SCAN         | ANALYSIS_RESULTS_CRITERIA_PK |     1 |       |     0   (0)| 00:00:01 |
|* 17 |              INDEX RANGE SCAN            | ANALYSES_PK                  |     1 |       |     0   (0)| 00:00:01 |
|  18 |            VIEW                          |                              |    14 |   238 |    24  (13)| 00:00:01 |
|* 19 |             FILTER                       |                              |       |       |            |          |
|  20 |              SORT GROUP BY               |                              |    14 |    98 |    24  (13)| 00:00:01 |
|  21 |               TABLE ACCESS FULL          | ANALYSIS_LOBS                | 22909 |   156K|    21   (0)| 00:00:01 |
|* 22 |           INDEX RANGE SCAN               | ANALYSIS_LOBS_PK             |     1 |    10 |     1   (0)| 00:00:01 |
|* 23 |          INDEX FULL SCAN                 | COUNTRY_TO_BU_MAP_PK         |     1 |    10 |     1   (0)| 00:00:01 |
|* 24 |         INDEX UNIQUE SCAN                | RES_LINE_COUNTRY_PK          |     1 |     8 |     0   (0)| 00:00:01 |
|* 25 |        INDEX RANGE SCAN                  | ANALYSIS_RESULTS_DETAILS_PK  | 59280 |  1157K|   213   (1)| 00:00:02 |
|* 26 |       TABLE ACCESS BY INDEX ROWID        | RES_LINE_NAMES               |     1 |    58 |     1   (0)| 00:00:01 |
|* 27 |        INDEX UNIQUE SCAN                 | RES_LINE_NAME_PK             |     1 |       |     0   (0)| 00:00:01 |
|  28 |      TABLE ACCESS BY INDEX ROWID         | COUNTRIES_TO_REGIONS         |     1 |    17 |     0   (0)| 00:00:01 |
|* 29 |       INDEX UNIQUE SCAN                  | COUNTRIES_TO_REG_PK          |     1 |       |     0   (0)| 00:00:01 |
|  30 |     TABLE ACCESS BY INDEX ROWID          | TREATMENTS                   |     1 |    22 |     0   (0)| 00:00:01 |
|* 31 |      INDEX UNIQUE SCAN                   | PK_ANALYSIS_ID               |     1 |       |     0   (0)| 00:00:01 |
Predicate Information (identified by operation id):
   1 - filter(SUM(DECODE("ARS"."DATA_TYPE_ID",1,NVL("ARD"."VALUE",0),0))<>0 OR
              SUM(DECODE("ARS"."DATA_TYPE_ID",12,NVL("ARD"."VALUE",0),0))<>0 OR
              SUM(DECODE("ARS"."DATA_TYPE_ID",27,NVL("ARD"."VALUE",0),0))<>0 OR
              SUM(DECODE("ARS"."DATA_TYPE_ID",6,NVL("ARD"."VALUE",0),0))<>0 OR
              SUM(DECODE("ARS"."DATA_TYPE_ID",9,NVL("ARD"."VALUE",0),0))<>0 OR
              SUM(DECODE("ARS"."DATA_TYPE_ID",13,NVL("ARD"."VALUE",0),0))<>0 OR
              SUM(DECODE("ARS"."DATA_TYPE_ID",3,NVL("ARD"."VALUE",0),0))<>0 OR
              SUM(DECODE("ARS"."DATA_TYPE_ID",33,NVL("ARD"."VALUE",0),0))<>0 OR
              SUM(DECODE("ARS"."DATA_TYPE_ID",31,NVL("ARD"."VALUE",0),0))<>0 OR
              SUM(DECODE("ARS"."DATA_TYPE_ID",32,NVL("ARD"."VALUE",0),0))<>0 OR
              SUM(DECODE("ARS"."DATA_TYPE_ID",21,NVL("ARD"."VALUE",0),0))<>0)
  10 - access("A"."ANALYSIS_ID"="AL_TYPES"."ANALYSIS_ID")
  11 - filter("A"."RUN_FREQUENCY"<>2 AND UPPER("A"."NAME") NOT LIKE 'PCSUMM88%')
  14 - filter("ARS"."IS_NON_ZERO_TRIANGLE"='Y' AND ("ARS"."DATA_TYPE_ID"=1 OR "ARS"."DATA_TYPE_ID"=3 OR
              "ARS"."DATA_TYPE_ID"=6 OR "ARS"."DATA_TYPE_ID"=9 OR "ARS"."DATA_TYPE_ID"=12 OR "ARS"."DATA_TYPE_ID"=13 OR
              "ARS"."DATA_TYPE_ID"=21 OR "ARS"."DATA_TYPE_ID"=27 OR "ARS"."DATA_TYPE_ID"=31 OR "ARS"."DATA_TYPE_ID"=32 OR
              "ARS"."DATA_TYPE_ID"=33))
  15 - filter("ARC"."BUSINESS_UNIT"<>'ALL' AND "ARC"."BUSINESS_UNIT"<>'SEL' AND "ARC"."LOB_VALUE"<>'SEL' AND
              "ARC"."MANAGEMENT_UNIT"<>'SEL' AND "ARC"."LOB_VALUE"<>'ALL' AND "ARC"."RCC"='ALL')
  16 - access("ARC"."ANALYSIS_CRITERIA_ID"="ARS"."ANALYSIS_CRITERIA_ID")
  17 - access("A"."ANALYSIS_ID"="ARC"."ANALYSIS_ID")
  19 - filter(MAX("AL"."LOB_TYPE_ID")=2 OR MAX("AL"."LOB_TYPE_ID")=4)
  22 - access("AL"."ANALYSIS_ID"="ARC"."ANALYSIS_ID" AND "ARC"."LOB_VALUE"="AL"."LOB_VALUE")
       filter("AL"."LOB_VALUE"<>'ALL' AND "AL"."LOB_VALUE"<>'SEL' AND "ARC"."LOB_VALUE"="AL"."LOB_VALUE")
  23 - access("CTBM"."BUSINESS_UNIT"="ARC"."BUSINESS_UNIT")
       filter("CTBM"."BUSINESS_UNIT"<>'ALL' AND "CTBM"."BUSINESS_UNIT"<>'SEL' AND
              "CTBM"."BUSINESS_UNIT"="ARC"."BUSINESS_UNIT")
  24 - access("RLC"."LOB_VALUE"="ARC"."LOB_VALUE" AND "RLC"."COUNTRY_CODE"="CTBM"."COUNTRY_CODE")
       filter("RLC"."LOB_VALUE"<>'ALL' AND "RLC"."LOB_VALUE"<>'SEL')
  25 - access("ARS"."ANALYSIS_RESULTS_ID"="ARD"."ANALYSIS_RESULTS_ID")
  26 - filter((TO_NUMBER("RLN"."LOB_TYPE_ID")=4 OR TO_NUMBER("RLN"."LOB_TYPE_ID")=2) AND
              "AL_TYPES"."LOB_TYPE_ID"=TO_NUMBER("RLN"."LOB_TYPE_ID"))
  27 - access("RLN"."LOB_VALUE"=TO_NUMBER("RLC"."LOB_VALUE"))
  29 - access("CTR"."COUNTRY_CODE"="RLC"."COUNTRY_CODE")
  31 - access("A"."ANALYSIS_ID"="T"."ANALYSIS_ID")Regards,
Sundeep K
Edited by: kangula on Jan 21, 2011 4:34 PM
Edited by: kangula on Jan 21, 2011 4:36 PM

Answer 1

Hi Boneist,
I have checked query and it doesnt change much... execution time is same.
Hi Charles,
I have tried using the hint /*+ GATHER_PLAN_STATISTICS */ as below, the query is still executing. Its taking more than 4 hrs... Is there any other way i can get these..
set serveroutput off
SELECT  /*+ GATHER_PLAN_STATISTICS */ CASE
            WHEN UPPER (a.NAME) LIKE 'PCSUM%UK%RUNOFF%'
               THEN 'UK/Ireland'
            ELSE ctr.region
         END AS region_name,
         t.reinsurance_treatment_desc AS reinsurance_treatment,
         CASE
            WHEN UPPER (a.NAME) LIKE 'PCSUM%UK%RUNOFF%'Will let u know if i get these. In mean time have added new where clause [highlighted below] in query and it took 35 mins to execute. Please find it below along with plan.
explain plan for
SELECT  CASE
            WHEN UPPER (a.NAME) LIKE 'PCSUM%UK%RUNOFF%'
               THEN 'UK/Ireland'
            ELSE ctr.region
         END AS region_name,
         t.reinsurance_treatment_desc AS reinsurance_treatment,
         CASE
            WHEN UPPER (a.NAME) LIKE 'PCSUM%UK%RUNOFF%'
               THEN 'UK Runoff'
            ELSE rlc.country_code
         END AS country_code,       
         ars.currency_code, rln.management_line_of_business AS aog_line,
         rln.reserving_class, rln.reserving_line, rln.reserving_line_id,
        CASE
            WHEN UPPER (a.NAME) NOT LIKE 'PCSUMM%'
               THEN ''
            ELSE CASE
            WHEN UPPER (a.NAME) LIKE 'PCSUMM1 %'
               THEN 'Attritional'
            WHEN UPPER (a.NAME) LIKE 'PCSUMM2 %'
               THEN 'Large Loss'
            WHEN UPPER (a.NAME) LIKE 'PCSUMM4 %'
               THEN 'Total'
            ELSE 'Cat'
         END
         END AS claim_type,
        CASE
            WHEN MOD (ard.exposure_period, 100) IN (1, 2, 3)
               THEN TO_DATE
                      (TO_CHAR (TRUNC (ard.exposure_period / 100)) || '0101',
                       'yyyymmdd'
            WHEN MOD (ard.exposure_period, 100) IN (4, 5, 6)
               THEN TO_DATE (   TO_CHAR (TRUNC (ard.exposure_period / 100))
                             || '0401',
                             'yyyymmdd'
            WHEN MOD (ard.exposure_period, 100) IN (7, 8, 9)
               THEN TO_DATE (   TO_CHAR (TRUNC (ard.exposure_period / 100))
                             || '0701',
                             'yyyymmdd'
            WHEN MOD (ard.exposure_period, 100) IN (10, 11, 12)
               THEN TO_DATE (   TO_CHAR (TRUNC (ard.exposure_period / 100))
                             || '1001',
                             'yyyymmdd'
         END AS origin_date,
        CASE
            WHEN MOD (ard.evaluation_period, 100) IN
                                               (1, 2, 3)
               THEN TO_DATE
                      (TO_CHAR (TRUNC (ard.evaluation_period / 100)) || '0331',
                       'yyyymmdd'
            WHEN MOD (ard.evaluation_period, 100) IN (4, 5, 6)
               THEN TO_DATE (   TO_CHAR (TRUNC (ard.evaluation_period / 100))
                             || '0630',
                             'yyyymmdd'
            WHEN MOD (ard.evaluation_period, 100) IN (7, 8, 9)
               THEN TO_DATE (   TO_CHAR (TRUNC (ard.evaluation_period / 100))
                             || '0930',
                             'yyyymmdd'
            WHEN MOD (ard.evaluation_period, 100) IN (10, 11, 12)
               THEN TO_DATE (   TO_CHAR (TRUNC (ard.evaluation_period / 100))
                             || '1231',
                             'yyyymmdd'
         END AS development_date,
         SUM (DECODE (ars.data_type_id, 1, NVL (ard.VALUE, 0), 0)
             ) AS earned_premium,
         SUM (DECODE (ars.data_type_id, 12, NVL (ard.VALUE, 0), 0)
             ) AS paid_losses_and_alae,
         SUM (DECODE (ars.data_type_id, 27, NVL (ard.VALUE, 0), 0)
             ) AS total_incurred_losses_inc_alae,
         SUM (DECODE (ars.data_type_id, 6, NVL (ard.VALUE, 0), 0)
             ) AS paid_loss_total,
         SUM (DECODE (ars.data_type_id, 9, NVL (ard.VALUE, 0), 0)
             ) AS alae_total,
         SUM (DECODE (ars.data_type_id, 13, NVL (ard.VALUE, 0), 0)
             ) AS case_os_total,
         SUM (DECODE (ars.data_type_id, 3, NVL (ard.VALUE, 0), 0)
             ) AS written_premium,                       
         SUM (DECODE (ars.data_type_id, 33, NVL (ard.VALUE, 0), 0)
             ) AS total_claim_counts,                 
         SUM (DECODE (ars.data_type_id, 31, NVL (ard.VALUE, 0), 0)
             ) AS open_claim_counts,                 
         SUM (DECODE (ars.data_type_id, 32, NVL (ard.VALUE, 0), 0)
             ) AS closed_claim_counts,               
         SUM (DECODE (ars.data_type_id, 21, NVL (ard.VALUE, 0), 0)
             ) AS total_case_inc_loss,                     
         SYSDATE AS export_date
    FROM res_line_country rlc,
         res_line_names rln,
         risk_history.analysis_results_criteria arc,
         (SELECT   al.analysis_id,
                   MAX (al.lob_type_id) AS lob_type_id
              FROM analysis_lobs al
          GROUP BY analysis_id) al_types,
         analyses a,
         treatments t,
         risk_history.analysis_lobs al,
         analysis_results_summary ars,
         analysis_results_details ard,
         countries_to_regions ctr,
                  --Created Seperate Table to materialize the inline view - VM
         country_to_bu_map ctbm
   WHERE rlc.lob_value = rln.lob_value
     AND rlc.lob_value = arc.lob_value
     AND al_types.lob_type_id = rln.lob_type_id
     AND a.analysis_id = al_types.analysis_id
     AND a.analysis_id = arc.analysis_id
     AND a.analysis_id = t.analysis_id
     AND al.analysis_id = arc.analysis_id
     AND arc.lob_value = al.lob_value
     AND arc.analysis_criteria_id = ars.analysis_criteria_id
     AND ars.analysis_results_id = ard.analysis_results_id
     AND ctr.country_code = rlc.country_code
     AND ctbm.business_unit = arc.business_unit
     AND rlc.country_code = ctbm.country_code
     AND a.run_frequency !=2
     AND ars.is_non_zero_triangle = 'Y'   
     AND ars.data_type_id IN (1, 12, 27, 6, 9, 13, 3, 33, 31, 32, 21)
     AND NOT UPPER (a.NAME) LIKE 'PCSUMM88%'
     AND arc.lob_value NOT IN  ('ALL', 'SEL') -- get data only for the actual reserving lines
     AND al_types.lob_type_id IN (2, 4)
     AND arc.management_unit != 'SEL'
     AND arc.business_unit NOT IN  ('ALL', 'SEL')
     AND arc.rcc = 'ALL' 
     +*AND ard.VALUE <>0*+         
GROUP BY CASE
            WHEN UPPER (a.NAME) LIKE 'PCSUM%UK%RUNOFF%'
               THEN 'UK/Ireland'
            ELSE ctr.region
         END,
         t.reinsurance_treatment_desc,
         CASE
            WHEN UPPER (a.NAME) LIKE 'PCSUM%UK%RUNOFF%'
               THEN 'UK Runoff'
            ELSE rlc.country_code
         END,
         ars.currency_code,
         rln.management_line_of_business,
         rln.reserving_class,
         rln.reserving_line,
         rln.reserving_line_id,
         CASE
            WHEN UPPER (a.NAME) NOT LIKE 'PCSUMM%'
               THEN ''
            ELSE CASE
            WHEN UPPER (a.NAME) LIKE 'PCSUMM1 %'
               THEN 'Attritional'
            WHEN UPPER (a.NAME) LIKE 'PCSUMM2 %'
               THEN 'Large Loss'
            WHEN UPPER (a.NAME) LIKE 'PCSUMM4 %'
               THEN 'Total'
            ELSE 'Cat'
         END
         END,
         CASE
            WHEN MOD (ard.exposure_period, 100) IN (1, 2, 3)
               THEN TO_DATE (   TO_CHAR (TRUNC (ard.exposure_period / 100))
                             || '0101',
                             'yyyymmdd'
            WHEN MOD (ard.exposure_period, 100) IN (4, 5, 6)
               THEN TO_DATE (   TO_CHAR (TRUNC (ard.exposure_period / 100))
                             || '0401',
                             'yyyymmdd'
            WHEN MOD (ard.exposure_period, 100) IN (7, 8, 9)
               THEN TO_DATE (   TO_CHAR (TRUNC (ard.exposure_period / 100))
                             || '0701',
                             'yyyymmdd'
            WHEN MOD (ard.exposure_period, 100) IN (10, 11, 12)
               THEN TO_DATE (   TO_CHAR (TRUNC (ard.exposure_period / 100))
                             || '1001',
                             'yyyymmdd'
         END,
         CASE
            WHEN MOD (ard.evaluation_period, 100) IN (1, 2, 3)
               THEN TO_DATE (   TO_CHAR (TRUNC (ard.evaluation_period / 100))
                             || '0331',
                             'yyyymmdd'
            WHEN MOD (ard.evaluation_period, 100) IN (4, 5, 6)
               THEN TO_DATE (   TO_CHAR (TRUNC (ard.evaluation_period / 100))
                             || '0630',
                             'yyyymmdd'
            WHEN MOD (ard.evaluation_period, 100) IN (7, 8, 9)
               THEN TO_DATE (   TO_CHAR (TRUNC (ard.evaluation_period / 100))
                             || '0930',
                             'yyyymmdd'
            WHEN MOD (ard.evaluation_period, 100) IN (10, 11, 12)
               THEN TO_DATE (   TO_CHAR (TRUNC (ard.evaluation_period / 100))
                             || '1231',
                             'yyyymmdd') END,SYSDATE
HAVING   (SUM (DECODE (ars.data_type_id, 1, NVL (ard.VALUE, 0), 
                                      12, NVL (ard.VALUE, 0),
                                      27, NVL (ard.VALUE, 0),
                                       6, NVL (ard.VALUE, 0),
                                       9, NVL (ard.VALUE, 0),
                                      13, NVL (ard.VALUE, 0),
                                       3, NVL (ard.VALUE, 0),
                                      33, NVL (ard.VALUE, 0),
                                      31, NVL (ard.VALUE, 0),
                                      32, NVL (ard.VALUE, 0),
                                      21, NVL (ard.VALUE, 0), 0)) != 0 );
select * from table (dbms_xplan.DISPLAY)
PLAN_TABLE_OUTPUT
Plan hash value: 2043043506
| Id  | Operation                                | Name                         | Rows  | Bytes | Cost (%CPU)| Time     |
|   0 | SELECT STATEMENT                         |                              |     1 |   256 |   355   (5)| 00:00:03 |
|*  1 |  FILTER                                  |                              |       |       |            |          |
|   2 |   SORT GROUP BY                          |                              |     1 |   256 |   355   (5)| 00:00:03 |
|   3 |    NESTED LOOPS                          |                              |     1 |   256 |   354   (4)| 00:00:03 |
|   4 |     NESTED LOOPS                         |                              |     1 |   198 |   354   (5)| 00:00:03 |
|   5 |      NESTED LOOPS                        |                              |     1 |   188 |   354   (5)| 00:00:03 |
|   6 |       NESTED LOOPS                       |                              |     1 |   166 |   354   (5)| 00:00:03 |
|   7 |        NESTED LOOPS                      |                              |     1 |   149 |   354   (5)| 00:00:03 |
|   8 |         NESTED LOOPS                     |                              |     1 |   129 |   141  (10)| 00:00:02 |
|   9 |          NESTED LOOPS                    |                              |     1 |   121 |   141  (10)| 00:00:02 |
|* 10 |           HASH JOIN                      |                              |     1 |   111 |   140  (10)| 00:00:02 |
|* 11 |            TABLE ACCESS BY INDEX ROWID   | ANALYSES                     |     1 |    43 |     0   (0)| 00:00:01 |
|  12 |             NESTED LOOPS                 |                              |     1 |    94 |   115   (8)| 00:00:01 |
|  13 |              NESTED LOOPS                |                              |     1 |    51 |   115   (8)| 00:00:01 |
|* 14 |               TABLE ACCESS FULL          | ANALYSIS_RESULTS_SUMMARY     |     1 |    22 |   114   (8)| 00:00:01 |
|* 15 |               TABLE ACCESS BY INDEX ROWID| ANALYSIS_RESULTS_CRITERIA    |     1 |    29 |     1   (0)| 00:00:01 |
|* 16 |                INDEX UNIQUE SCAN         | ANALYSIS_RESULTS_CRITERIA_PK |     1 |       |     0   (0)| 00:00:01 |
|* 17 |              INDEX RANGE SCAN            | ANALYSES_PK                  |     1 |       |     0   (0)| 00:00:01 |
|  18 |            VIEW                          |                              |    14 |   238 |    24  (13)| 00:00:01 |
|* 19 |             FILTER                       |                              |       |       |            |          |
|  20 |              SORT GROUP BY               |                              |    14 |    98 |    24  (13)| 00:00:01 |
|  21 |               TABLE ACCESS FULL          | ANALYSIS_LOBS                | 22909 |   156K|    21   (0)| 00:00:01 |
|* 22 |           INDEX FULL SCAN                | COUNTRY_TO_BU_MAP_PK         |     1 |    10 |     1   (0)| 00:00:01 |
|* 23 |          INDEX UNIQUE SCAN               | RES_LINE_COUNTRY_PK          |     1 |     8 |     0   (0)| 00:00:01 |
|* 24 |         INDEX RANGE SCAN                 | ANALYSIS_RESULTS_DETAILS_PK  |  2964 | 59280 |   213   (1)| 00:00:02 |
|  25 |        TABLE ACCESS BY INDEX ROWID       | COUNTRIES_TO_REGIONS         |     1 |    17 |     0   (0)| 00:00:01 |
|* 26 |         INDEX UNIQUE SCAN                | COUNTRIES_TO_REG_PK          |     1 |       |     0   (0)| 00:00:01 |
|  27 |       TABLE ACCESS BY INDEX ROWID        | TREATMENTS                   |     1 |    22 |     0   (0)| 00:00:01 |
|* 28 |        INDEX UNIQUE SCAN                 | PK_ANALYSIS_ID               |     1 |       |     0   (0)| 00:00:01 |
|* 29 |      INDEX RANGE SCAN                    | ANALYSIS_LOBS_PK             |     1 |    10 |     1   (0)| 00:00:01 |
|* 30 |     TABLE ACCESS BY INDEX ROWID          | RES_LINE_NAMES               |     1 |    58 |     1   (0)| 00:00:01 |
|* 31 |      INDEX UNIQUE SCAN                   | RES_LINE_NAME_PK             |     1 |       |     0   (0)| 00:00:01 |
Predicate Information (identified by operation id):
   1 - filter(SUM(DECODE("ARS"."DATA_TYPE_ID",1,NVL("ARD"."VALUE",0),12,NVL("ARD"."VALUE",0),27,NVL("ARD"."VALUE"
              ,0),6,NVL("ARD"."VALUE",0),9,NVL("ARD"."VALUE",0),13,NVL("ARD"."VALUE",0),3,NVL("ARD"."VALUE",0),33,NVL("ARD"."VA
              LUE",0),31,NVL("ARD"."VALUE",0),32,NVL("ARD"."VALUE",0),21,NVL("ARD"."VALUE",0),0))<>0)
  10 - access("A"."ANALYSIS_ID"="AL_TYPES"."ANALYSIS_ID")
  11 - filter("A"."RUN_FREQUENCY"<>2 AND UPPER("A"."NAME") NOT LIKE 'PCSUMM88%')
  14 - filter("ARS"."IS_NON_ZERO_TRIANGLE"='Y' AND ("ARS"."DATA_TYPE_ID"=1 OR "ARS"."DATA_TYPE_ID"=3 OR
              "ARS"."DATA_TYPE_ID"=6 OR "ARS"."DATA_TYPE_ID"=9 OR "ARS"."DATA_TYPE_ID"=12 OR "ARS"."DATA_TYPE_ID"=13 OR
              "ARS"."DATA_TYPE_ID"=21 OR "ARS"."DATA_TYPE_ID"=27 OR "ARS"."DATA_TYPE_ID"=31 OR "ARS"."DATA_TYPE_ID"=32 OR
              "ARS"."DATA_TYPE_ID"=33))
  15 - filter("ARC"."BUSINESS_UNIT"<>'ALL' AND "ARC"."BUSINESS_UNIT"<>'SEL' AND "ARC"."LOB_VALUE"<>'SEL' AND
              "ARC"."MANAGEMENT_UNIT"<>'SEL' AND "ARC"."LOB_VALUE"<>'ALL' AND "ARC"."RCC"='ALL')
  16 - access("ARC"."ANALYSIS_CRITERIA_ID"="ARS"."ANALYSIS_CRITERIA_ID")
  17 - access("A"."ANALYSIS_ID"="ARC"."ANALYSIS_ID")
  19 - filter(MAX("AL"."LOB_TYPE_ID")=2 OR MAX("AL"."LOB_TYPE_ID")=4)
  22 - access("CTBM"."BUSINESS_UNIT"="ARC"."BUSINESS_UNIT")
       filter("CTBM"."BUSINESS_UNIT"<>'ALL' AND "CTBM"."BUSINESS_UNIT"<>'SEL' AND
              "CTBM"."BUSINESS_UNIT"="ARC"."BUSINESS_UNIT")
  23 - access("RLC"."LOB_VALUE"="ARC"."LOB_VALUE" AND "RLC"."COUNTRY_CODE"="CTBM"."COUNTRY_CODE")
       filter("RLC"."LOB_VALUE"<>'ALL' AND "RLC"."LOB_VALUE"<>'SEL')
  24 - access("ARS"."ANALYSIS_RESULTS_ID"="ARD"."ANALYSIS_RESULTS_ID")
       filter("ARD"."VALUE"<>0)
  26 - access("CTR"."COUNTRY_CODE"="RLC"."COUNTRY_CODE")
  28 - access("A"."ANALYSIS_ID"="T"."ANALYSIS_ID")
  29 - access("AL"."ANALYSIS_ID"="ARC"."ANALYSIS_ID" AND "ARC"."LOB_VALUE"="AL"."LOB_VALUE")
       filter("AL"."LOB_VALUE"<>'ALL' AND "AL"."LOB_VALUE"<>'SEL' AND "ARC"."LOB_VALUE"="AL"."LOB_VALUE")
  30 - filter((TO_NUMBER("RLN"."LOB_TYPE_ID")=4 OR TO_NUMBER("RLN"."LOB_TYPE_ID")=2) AND
              "AL_TYPES"."LOB_TYPE_ID"=TO_NUMBER("RLN"."LOB_TYPE_ID"))
  31 - access("RLN"."LOB_VALUE"=TO_NUMBER("RLC"."LOB_VALUE"))Kindly let me know how to go forward with this.
Regards,
Sunny