Why the 2d graphics score is much lower than the 3d

upper graphical desktop score is significantly lower than any other partition on the windows experience index. The index is just a waste of time or is there a reason for this 1 score to be much lower

upper graphical desktop score is significantly lower than any other partition on the windows experience index. The index is just a waste of time or is there a reason for this 1 score to be much lower

The score is less on your computer because your video (graphics) card was obviously designed for its 3D graphics was paramount while 2D was a secondary function.  (You have a game system).

What specific video card do you have?

Tags: Windows

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    DETAILS
    I've reproduced the entire scenario via SQL scripts to create and populate the tables against which I can then run the queries. I've deliberately padded table so that the length of the average line of data generated is similar to that of the actual data. In this way the statistics should be similar on the number of blocks and so forth.

    System - uname - a
    Linux mysystem.localdomain 2.6.32-300.25.1.el5uek #1 SMP Tue May 15 19:55:52 EDT 2012 i686 i686 i386 GNU/Linux
    Database - v$ version
    Oracle Database 10g Enterprise Edition Release 10.2.0.5.0 - Prod
    PL/SQL Release 10.2.0.5.0 - Production
    CORE    10.2.0.5.0      Production
    TNS for Linux: Version 10.2.0.5.0 - Production
    NLSRTL Version 10.2.0.5.0 - Production
    Original query (complete table below details):
    SELECT 
        episode.episode_id , episode.cross_ref_id , episode.date_required , 
        product.number_required , 
        request.site_id 
    FROM episode 
    LEFT JOIN REQUEST on episode.cross_ref_id = request.cross_ref_id 
         JOIN product ON episode.episode_id = product.episode_id 
    LEFT JOIN product_sub_type ON product.prod_sub_type_id = product_sub_type.prod_sub_type_id 
    WHERE (
            episode.department_id = 2
        and product.status = 'I'
          ) 
    ORDER BY episode.date_required
    ;
    Execution of display_cursor after the execution plan:
    SQL_ID  5ckbvabcmqzw7, child number 0
    -------------------------------------
    SELECT     episode.episode_id , episode.cross_ref_id , episode.date_required ,
    product.number_required ,     request.site_id FROM episode LEFT JOIN REQUEST on
    episode.cross_ref_id = request.cross_ref_id      JOIN product ON episode.episode_id =
    product.episode_id LEFT JOIN product_sub_type ON product.prod_sub_type_id =
    product_sub_type.prod_sub_type_id WHERE (         episode.department_id = 2 and
    product.status = 'I'       ) ORDER BY episode.date_required
    
    Plan hash value: 3976293091
    
    -----------------------------------------------------------------------------------------------------
    | Id  | Operation             | Name                | Rows  | Bytes |TempSpc| Cost (%CPU)| Time     |
    -----------------------------------------------------------------------------------------------------
    |   0 | SELECT STATEMENT      |                     |       |       |       | 35357 (100)|          |
    |   1 |  SORT ORDER BY        |                     | 33333 |  1920K|  2232K| 35357   (1)| 00:07:05 |
    |   2 |   NESTED LOOPS OUTER  |                     | 33333 |  1920K|       | 34879   (1)| 00:06:59 |
    |*  3 |    HASH JOIN OUTER    |                     | 33333 |  1822K|  1728K| 34878   (1)| 00:06:59 |
    |*  4 |     HASH JOIN         |                     | 33333 |  1334K|       |   894   (1)| 00:00:11 |
    |*  5 |      TABLE ACCESS FULL| PRODUCT             | 33333 |   423K|       |   103   (1)| 00:00:02 |
    |*  6 |      TABLE ACCESS FULL| EPISODE             |   299K|  8198K|       |   788   (1)| 00:00:10 |
    |   7 |     TABLE ACCESS FULL | REQUEST             |  3989K|    57M|       | 28772   (1)| 00:05:46 |
    |*  8 |    INDEX UNIQUE SCAN  | PK_PRODUCT_SUB_TYPE |     1 |     3 |       |  0   (0)|          |
    -----------------------------------------------------------------------------------------------------
    
    Predicate Information (identified by operation id):
    ---------------------------------------------------
       3 - access("EPISODE"."CROSS_REF_ID"="REQUEST"."CROSS_REF_ID")
       4 - access("EPISODE"."EPISODE_ID"="PRODUCT"."EPISODE_ID")
       5 - filter("PRODUCT"."STATUS"='I')
       6 - filter("EPISODE"."DEPARTMENT_ID"=2)
       8 - access("PRODUCT"."PROD_SUB_TYPE_ID"="PRODUCT_SUB_TYPE"."PROD_SUB_TYPE_ID")
    Updated the Query:
    SELECT 
        episode.episode_id , episode.cross_ref_id , episode.date_required , 
        product.number_required , 
        request.site_id 
    FROM episode 
    LEFT JOIN REQUEST on episode.cross_ref_id = request.cross_ref_id 
         JOIN product ON episode.episode_id = product.episode_id 
    WHERE (
            episode.department_id = 2
        and product.status = 'I'
          ) 
    ORDER BY episode.date_required
    ;
    Execution of display_cursor after the execution plan:
    SQL_ID  gbs74rgupupxz, child number 0
    -------------------------------------
    SELECT     episode.episode_id , episode.cross_ref_id , episode.date_required ,
    product.number_required ,     request.site_id FROM episode LEFT JOIN REQUEST on
    episode.cross_ref_id = request.cross_ref_id      JOIN product ON episode.episode_id =
    product.episode_id WHERE (         episode.department_id = 2     and product.status =
    'I'       ) ORDER BY episode.date_required
    
    Plan hash value: 4250628916
    
    ----------------------------------------------------------------------------------------------
    | Id  | Operation              | Name        | Rows  | Bytes |TempSpc| Cost (%CPU)| Time     |
    ----------------------------------------------------------------------------------------------
    |   0 | SELECT STATEMENT       |             |       |       |       | 10515 (100)|          |
    |   1 |  SORT ORDER BY         |             | 33333 |  1725K|  2112K| 10515   (1)| 00:02:07 |
    |*  2 |   HASH JOIN OUTER      |             | 33333 |  1725K|  1632K| 10077   (1)| 00:02:01 |
    |*  3 |    HASH JOIN           |             | 33333 |  1236K|       |   894   (1)| 00:00:11 |
    |*  4 |     TABLE ACCESS FULL  | PRODUCT     | 33333 |   325K|       |   103   (1)| 00:00:02 |
    |*  5 |     TABLE ACCESS FULL  | EPISODE     |   299K|  8198K|       |   788   (1)| 00:00:10 |
    |   6 |    INDEX FAST FULL SCAN| IX4_REQUEST |  3989K|    57M|       |  3976   (1)| 00:00:48 |
    ----------------------------------------------------------------------------------------------
    
    Predicate Information (identified by operation id):
    ---------------------------------------------------
       2 - access("EPISODE"."CROSS_REF_ID"="REQUEST"."CROSS_REF_ID")
       3 - access("EPISODE"."EPISODE_ID"="PRODUCT"."EPISODE_ID")
       4 - filter("PRODUCT"."STATUS"='I')
       5 - filter("EPISODE"."DEPARTMENT_ID"=2)
    Creating the table and Population:
    1 create tables
    2. load data
    3 create indexes
    4. collection of statistics
    --
    -- Main table
    --
    create table episode (
    episode_id number (*,0),
    department_id number (*,0),
    date_required date,
    cross_ref_id varchar2 (11),
    padding varchar2 (80),
    constraint pk_episode primary key (episode_id)
    ) ;
    --
    -- Product tables
    --
    create table product_type (
    prod_type_id number (*,0),
    code varchar2 (10),
    binary_field number (*,0),
    padding varchar2 (80),
    constraint pk_product_type primary key (prod_type_id)
    ) ;
    --
    create table product_sub_type (
    prod_sub_type_id number (*,0),
    sub_type_name varchar2 (20),
    units varchar2 (20),
    padding varchar2 (80),
    constraint pk_product_sub_type primary key (prod_sub_type_id)
    ) ;
    --
    create table product (
    product_id number (*,0),
    prod_type_id number (*,0),
    prod_sub_type_id number (*,0),
    episode_id number (*,0),
    status varchar2 (1),
    number_required number (*,0),
    padding varchar2 (80),
    constraint pk_product primary key (product_id),
    constraint nn_product_episode check (episode_id is not null) 
    ) ;
    alter table product add constraint fk_product 
    foreign key (episode_id) references episode (episode_id) ;
    alter table product add constraint fk_product_type 
    foreign key (prod_type_id) references product_type (prod_type_id) ;
    alter table product add constraint fk_prod_sub_type
    foreign key (prod_sub_type_id) references product_sub_type (prod_sub_type_id) ;
    --
    -- Requests
    --
    create table request (
    request_id number (*,0),
    department_id number (*,0),
    site_id number (*,0),
    cross_ref_id varchar2 (11),
    padding varchar2 (80),
    padding2 varchar2 (80),
    constraint pk_request primary key (request_id),
    constraint nn_request_department check (department_id is not null),
    constraint nn_request_site_id check (site_id is not null)
    ) ;
    --
    -- Activity & Users
    --
    create table activity (
    activity_id number (*,0),
    user_id number (*,0),
    episode_id number (*,0),
    request_id number (*,0), -- always NULL!
    padding varchar2 (80),
    constraint pk_activity primary key (activity_id)
    ) ;
    alter table activity add constraint fk_activity_episode
    foreign key (episode_id) references episode (episode_id) ;
    alter table activity add constraint fk_activity_request
    foreign key (request_id) references request (request_id) ;
    --
    create table app_users (
    user_id number (*,0),
    user_name varchar2 (20),
    start_date date,
    padding varchar2 (80),
    constraint pk_users primary key (user_id)
    ) ;
    
    prompt Loading episode ...
    --
    insert into episode
    with generator as 
    (select rownum r
              from (select rownum r from dual connect by rownum <= 1000) a,
                   (select rownum r from dual connect by rownum <= 1000) b,
                   (select rownum r from dual connect by rownum <= 1000) c
             where rownum <= 1000000
           ) 
    select r, 2,
        sysdate + mod (r, 14),
        to_char (r, '0000000000'),
        'ABCDEFGHIJKLMNOPQRSTUVWXYZ' || to_char (r, '000000')
      from generator g
    where g.r <= 300000
    /
    commit ;
    --
    prompt Loading product_type ...
    --
    insert into product_type
    with generator as 
    (select rownum r
              from (select rownum r from dual connect by rownum <= 1000) a,
                   (select rownum r from dual connect by rownum <= 1000) b,
                   (select rownum r from dual connect by rownum <= 1000) c
             where rownum <= 1000000
           ) 
    select r, 
           to_char (r, '000000000'),
           mod (r, 2),
           'ABCDEFGHIJKLMNOPQRST' || to_char (r, '000000')
      from generator g
    where g.r <= 12
    /
    commit ;
    --
    prompt Loading product_sub_type ...
    --
    insert into product_sub_type
    with generator as 
    (select rownum r
              from (select rownum r from dual connect by rownum <= 1000) a,
                   (select rownum r from dual connect by rownum <= 1000) b,
                   (select rownum r from dual connect by rownum <= 1000) c
             where rownum <= 1000000
           ) 
    select r, 
           to_char (r, '000000'),
           to_char (mod (r, 3), '000000'),
           'ABCDE' || to_char (r, '000000')
      from generator g
    where g.r <= 15
    /
    commit ;
    --
    prompt Loading product ...
    --
    -- product_id prod_type_id prod_sub_type_id episode_id padding 
    insert into product
    with generator as 
    (select rownum r
              from (select rownum r from dual connect by rownum <= 1000) a,
                   (select rownum r from dual connect by rownum <= 1000) b,
                   (select rownum r from dual connect by rownum <= 1000) c
             where rownum <= 1000000
           ) 
    select r, mod (r, 12) + 1, mod (r, 15) + 1, mod (r, 300000) + 1,
           decode (mod (r, 3), 0, 'I', 1, 'C', 2, 'X', 'U'),
           dbms_random.value (1, 100), NULL
      from generator g
    where g.r <= 100000
    /
    commit ;
    --
    prompt Loading request ...
    --
    -- request_id department_id site_id cross_ref_id varchar2 (11) padding 
    insert into request
    with generator as 
    (select rownum r
              from (select rownum r from dual connect by rownum <= 1000) a,
                   (select rownum r from dual connect by rownum <= 1000) b,
                   (select rownum r from dual connect by rownum <= 1000) c
             where rownum <= 10000000
           ) 
    select r, mod (r, 4) + 1, 1, to_char (r, '0000000000'),
    'ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz01234567890123456789' || to_char (r, '000000'),
    'ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789012345678' || to_char (r, '000000')
      from generator g
    where g.r <= 4000000
    /
    commit ;
    --
    prompt Loading activity ...
    --
    -- activity activity_id user_id episode_id request_id (NULL) padding 
    insert into activity
    with generator as 
    (select rownum r
              from (select rownum r from dual connect by rownum <= 1000) a,
                   (select rownum r from dual connect by rownum <= 1000) b,
                   (select rownum r from dual connect by rownum <= 1000) c
             where rownum <= 10000000
           ) 
    select r, mod (r, 50) + 1, mod (r, 300000) + 1, NULL, NULL
      from generator g
    where g.r <= 100000
    /
    commit ;
    --
    prompt Loading app_users ...
    --
    -- app_users user_id user_name start_date padding 
    insert into app_users
    with generator as 
    (select rownum r
              from (select rownum r from dual connect by rownum <= 1000) a,
                   (select rownum r from dual connect by rownum <= 1000) b,
                   (select rownum r from dual connect by rownum <= 1000) c
             where rownum <= 10000000
           ) 
    select r, 
           'User_' || to_char (r, '000000'),
           sysdate - mod (r, 30),
           'ABCDEFGHIJKLMNOPQRSTUVWXYZ' || to_char (r, '000000')
      from generator g
    where g.r <= 1000
    /
    commit ;
    --
    
    prompt Episode (1)
    create index ix1_episode_cross_ref on episode (cross_ref_id) ;
    --
    prompt Product (2)
    create index ix1_product_episode on product (episode_id) ;
    create index ix2_product_type on product (prod_type_id) ;
    --
    prompt Request (4)
    create index ix1_request_site on request (site_id) ;
    create index ix2_request_dept on request (department_id) ;
    create index ix3_request_cross_ref on request (cross_ref_id) ;
    -- The extra index on the referenced columns!!
    create index ix4_request on request (cross_ref_id, site_id) ;
    --
    prompt Activity (2)
    create index ix1_activity_episode on activity (episode_id) ;
    create index ix2_activity_request on activity (request_id) ;
    --
    prompt Users (1)
    create unique index ix1_users_name on app_users (user_name) ;
    --
    prompt Gather statistics on schema ...
    --
    exec dbms_stats.gather_schema_stats ('JB')
    10053 sections - original query
    ***************************************
    SINGLE TABLE ACCESS PATH
      -----------------------------------------
      BEGIN Single Table Cardinality Estimation
      -----------------------------------------
      Table: REQUEST  Alias: REQUEST
        Card: Original: 3994236  Rounded: 3994236  Computed: 3994236.00  Non Adjusted: 3994236.00
      -----------------------------------------
      END   Single Table Cardinality Estimation
      -----------------------------------------
      Access Path: TableScan
        Cost:  28806.24  Resp: 28806.24  Degree: 0
          Cost_io: 28738.00  Cost_cpu: 1594402830
          Resp_io: 28738.00  Resp_cpu: 1594402830
    ******** Begin index join costing ********
      ****** trying bitmap/domain indexes ******
      Access Path: index (FullScan)
        Index: PK_REQUEST
        resc_io: 7865.00  resc_cpu: 855378926
        ix_sel: 1  ix_sel_with_filters: 1
        Cost: 7901.61  Resp: 7901.61  Degree: 0
      Access Path: index (FullScan)
        Index: PK_REQUEST
        resc_io: 7865.00  resc_cpu: 855378926
        ix_sel: 1  ix_sel_with_filters: 1
        Cost: 7901.61  Resp: 7901.61  Degree: 0
      ****** finished trying bitmap/domain indexes ******
    ******** End index join costing ********
      Best:: AccessPath: TableScan
             Cost: 28806.24  Degree: 1  Resp: 28806.24  Card: 3994236.00  Bytes: 0
    ***************************************
    10053 - updated the Query
    ***************************************
    SINGLE TABLE ACCESS PATH
      -----------------------------------------
      BEGIN Single Table Cardinality Estimation
      -----------------------------------------
      Table: REQUEST  Alias: REQUEST
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      -----------------------------------------
      END   Single Table Cardinality Estimation
      -----------------------------------------
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        ix_sel: 0.0000e+00  ix_sel_with_filters: 1
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          Resp_io: 3927.00  Resp_cpu: 583211030
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        ix_sel: 1  ix_sel_with_filters: 1
        Cost: 14533.66  Resp: 14533.66  Degree: 1
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        Cost: 14533.66  Resp: 14533.66  Degree: 0
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        resc_io: 14495.00  resc_cpu: 903225273
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    ***************************************

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