without analytic function

Hello experts.

I have data similar to what follows below

create table t1
(
  id number(30),
  description varchar(4000)


);

insert into t1 values (1, 'zone');
insert into t1 values (2, 'small');


create table t2
(
   id number(30),
   place varchar(4000),
   info varchar(4000)

);

insert into t2 values (1, 'USA', 'Class U');
insert into t2 values (1, 'Mexico', 'Class M');
insert into t2 values (2, 'Germany', 'Class G');

I need help with something similar to what follows below without using any analytic function

Description of the ID info Place

1 box USA class U

Mexico 1 M class

2 small Germany class G

Any help is appreciated. Thank you

Hello

user13328581 wrote:

... I use an older version of oracle. Oracle 7.

Normally, your developers are older than your software.

You should be able to do what you want with a self-join on t2; a copy (d) should be displayed, and the other copy (c) contains all related values you need for comparison.

SELECT t2d.id

DECODE (t2d.place

MAX (t2c.place)

t1.description

) AS description

t2d.place

t2d.info

FROM t1

, t2 t2d - display

t2 t2c - compare

WHERE t1.id = t2d.id

AND t2d.id = t2c.id

GROUP BY t1.description

t2d.id

t2d.place

t2d.info

ORDER BY t2d.id

t2d.place DESC

;

Output:

ID DESCRIPTION PLACE INFO

---------- -------------------- -------------------- --------------------

1 box USA class U

Mexico 1 M class

2 small Germany class G

I've tested this in Oracle 11, but it should work in Oracle 7.

If this isn't the case, you may need to create a view.

Tags: Database

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    Hello

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    ORCL worm:
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    "CORE 11.2.0.2.0 Production."
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select sum(disclosed_cost_allocation.to_be_paid_amt) amt,
    substr(reference_data.ref_code,4,10) cd,
    to_char(external_order_status.status_updated_tmstp, 'DD-MON-YYYY HH24:MI:SS') tmstp,
    DISCLOSED_CLOSING_COST.DISCLOSED_CLOSING_COST_ID id
  FROM Deal.Fee_Mapping_Definition ,
    Deal.Fee_Index_Definition ,
    Deal.Fee_Closing_Cost_Item,
    Deal.Closing_Cost,
    Deal.Document_Generation_Request,
    deal.PRODUCT_REQUEST,
    deal.External_Order_Request,
    deal.External_Order_Status,
    deal. DISCLOSED_CLOSING_COST,
    deal.DISCLOSED_COST_ALLOCATION,
    deal.reference_data
  WHERE Fee_Mapping_Definition.Fee_Code                    = Fee_Index_Definition.Fee_Code
  AND Fee_Index_Definition.Fee_Index_Definition_Id         = Fee_Closing_Cost_Item.Fee_Index_Definition_Id
  AND Fee_Closing_Cost_Item.Closing_Cost_Id                = Closing_Cost.Closing_Cost_Id
  AND CLOSING_COST.PRODUCT_REQUEST_ID                      = Document_Generation_Request.Product_Request_Id
  AND closing_cost.product_request_id                      = product_request.product_request_id
  AND Product_Request.Deal_Id                              = External_Order_Request.Deal_Id
  AND external_order_request.external_order_request_id     = external_order_status.external_order_request_id
  AND external_order_request.external_order_request_id     = disclosed_closing_cost.external_order_request_id
  AND DISCLOSED_CLOSING_COST. DISCLOSED_CLOSING_COST_ID    = DISCLOSED_COST_ALLOCATION.DISCLOSED_CLOSING_COST_ID
  AND Fee_Index_Definition.Fee_Index_Definition_Id         = Disclosed_Closing_Cost.Fee_Index_Definition_Id
  AND Fee_Mapping_Definition.Document_Line_Series_Ref_Id   = Reference_Data.Reference_Data_Id
  AND Document_Generation_Request.Document_Package_Ref_Id IN (7392 ,2209 )
  AND External_Order_Status.Order_Status_Txt               = ('GenerationCompleted')
  AND Fee_Mapping_Definition.Document_Line_Series_Ref_Id  IN ( 7789, 7788,7596 )
  AND FEE_MAPPING_DEFINITION.DOCUMENT_TYPE_REF_ID          = 1099
  AND Document_Generation_Request.Product_Request_Id      IN
    (SELECT PRODUCT_REQUEST.PRODUCT_REQUEST_id
    FROM Deal.Disclosed_Cost_Allocation,
      Deal.Disclosed_Closing_Cost,
      DEAL.External_Order_Request,
      DEAL.PRODUCT_REQUEST,
      Deal.Scenario
    WHERE Disclosed_Cost_Allocation.Disclosed_Closing_Cost_Id = Disclosed_Closing_Cost.Disclosed_Closing_Cost_Id
    AND Disclosed_Closing_Cost.External_Order_Request_Id      = External_Order_Request.External_Order_Request_Id
    AND External_Order_Request.Deal_Id                        = Product_Request.Deal_Id
    AND product_request.scenario_id                           = scenario.scenario_id
    AND SCENARIO.SCENARIO_STATUS_TYPE_REF_ID                  = 7206
    AND product_request.servicing_loan_acct_num              IS NOT NULL
    AND product_request.servicing_loan_acct_num               = 0017498379
      --AND Disclosed_Cost_Allocation.Disclosed_Cost_Allocation_Id = 5095263
    )
  GROUP BY DISCLOSED_CLOSING_COST.DISCLOSED_CLOSING_COST_ID,
    External_Order_Status.Status_Updated_Tmstp,
    Reference_Data.Ref_Code,
    disclosed_cost_allocation.to_be_paid_amt
  order by 3 desc,
    1 DESC;

Result:
2000     1304-1399     28-JUL-2012 19:49:47     6880959
312     1302     28-JUL-2012 19:49:47     6880958
76     1303     28-JUL-2012 19:49:47     6880957
2000     1304-1399     28-JUL-2012 18:02:16     6880539
312     1302     28-JUL-2012 18:02:16     6880538
76     1303     28-JUL-2012 18:02:16     6880537


But, when I try to group the timestamp using analytical function,


select amt 
        ,cd 
        ,rank() over(partition by tmstp order by tmstp desc) rn 
from 
(select sum(disclosed_cost_allocation.to_be_paid_amt) amt,
    substr(reference_data.ref_code,4,10) cd,
    to_char(external_order_status.status_updated_tmstp, 'DD-MON-YYYY HH24:MI:SS') tmstp,
    DISCLOSED_CLOSING_COST.DISCLOSED_CLOSING_COST_ID id
  FROM Deal.Fee_Mapping_Definition ,
    Deal.Fee_Index_Definition ,
    Deal.Fee_Closing_Cost_Item,
    Deal.Closing_Cost,
    Deal.Document_Generation_Request,
    deal.PRODUCT_REQUEST,
    deal.External_Order_Request,
    deal.External_Order_Status,
    deal. DISCLOSED_CLOSING_COST,
    deal.DISCLOSED_COST_ALLOCATION,
    deal.reference_data
  WHERE Fee_Mapping_Definition.Fee_Code                    = Fee_Index_Definition.Fee_Code
  AND Fee_Index_Definition.Fee_Index_Definition_Id         = Fee_Closing_Cost_Item.Fee_Index_Definition_Id
  AND Fee_Closing_Cost_Item.Closing_Cost_Id                = Closing_Cost.Closing_Cost_Id
  AND CLOSING_COST.PRODUCT_REQUEST_ID                      = Document_Generation_Request.Product_Request_Id
  AND closing_cost.product_request_id                      = product_request.product_request_id
  AND Product_Request.Deal_Id                              = External_Order_Request.Deal_Id
  AND external_order_request.external_order_request_id     = external_order_status.external_order_request_id
  AND external_order_request.external_order_request_id     = disclosed_closing_cost.external_order_request_id
  AND DISCLOSED_CLOSING_COST. DISCLOSED_CLOSING_COST_ID    = DISCLOSED_COST_ALLOCATION.DISCLOSED_CLOSING_COST_ID
  AND Fee_Index_Definition.Fee_Index_Definition_Id         = Disclosed_Closing_Cost.Fee_Index_Definition_Id
  AND Fee_Mapping_Definition.Document_Line_Series_Ref_Id   = Reference_Data.Reference_Data_Id
  AND Document_Generation_Request.Document_Package_Ref_Id IN (7392 ,2209 )
  AND External_Order_Status.Order_Status_Txt               = ('GenerationCompleted')
  AND Fee_Mapping_Definition.Document_Line_Series_Ref_Id  IN ( 7789, 7788,7596 )
  AND FEE_MAPPING_DEFINITION.DOCUMENT_TYPE_REF_ID          = 1099
  AND Document_Generation_Request.Product_Request_Id      IN
    (SELECT PRODUCT_REQUEST.PRODUCT_REQUEST_id
    FROM Deal.Disclosed_Cost_Allocation,
      Deal.Disclosed_Closing_Cost,
      DEAL.External_Order_Request,
      DEAL.PRODUCT_REQUEST,
      Deal.Scenario
    WHERE Disclosed_Cost_Allocation.Disclosed_Closing_Cost_Id = Disclosed_Closing_Cost.Disclosed_Closing_Cost_Id
    AND Disclosed_Closing_Cost.External_Order_Request_Id      = External_Order_Request.External_Order_Request_Id
    AND External_Order_Request.Deal_Id                        = Product_Request.Deal_Id
    AND product_request.scenario_id                           = scenario.scenario_id
    AND SCENARIO.SCENARIO_STATUS_TYPE_REF_ID                  = 7206
    AND product_request.servicing_loan_acct_num              IS NOT NULL
    AND product_request.servicing_loan_acct_num               = 0017498379
      --AND Disclosed_Cost_Allocation.Disclosed_Cost_Allocation_Id = 5095263
    )
  GROUP BY DISCLOSED_CLOSING_COST.DISCLOSED_CLOSING_COST_ID,
    External_Order_Status.Status_Updated_Tmstp,
    Reference_Data.Ref_Code,
    disclosed_cost_allocation.to_be_paid_amt
  order by 3 desc,
    1 DESC);

Result:
312     1302            1
2000     1304-1399     1
76     1303            1
312     1302            1
2000     1304-1399     1
76     1303            1 


Required output:
312     1302            1
2000     1304-1399     1
76     1303            1
312     1302            2
2000     1304-1399     2
76     1303            2
    THX
    Rod.

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    My guess is that you want:

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    Always tell what version of Oracle you are using.
    See the FAQ forum {message identifier: = 9360002}

    Published by: Frank Kulash, August 1, 2012 13:20

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         1      71400 16-GEN-10
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         1     111000 13-GEN-10
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Selezionate 80 righe.

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  7  group by pid;

       PID MAX_7_DAYS DAY_7_DAY MAX_30_DAYS DAY_30_DA
---------- ---------- --------- ----------- ---------
         1      21000 13-FEB-10       99900 23-GEN-10
         2     276000 14-FEB-10     3176800 28-GEN-10

    Max
    http://oracleitalia.WordPress.com

    Published by: Massimo Ruocchio, February 18, 2010 21:03

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    http://oracleitalia.WordPress.com

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    SELECT      MIN (deptno) KEEP (DENSE_RANK FIRST ORDER BY sal)     AS dept_with_lowest_sal
FROM      scott.emp
;

    Note that you do not need a subquery.
    This can be modififed if, for example, you want the lowest Department with the sal for each job.

    But if your mission is to use an analytical function, that's what you have to do.

    but I have problem in group by. I can't use min() without group by.

    Of course, you can use MIN without GROUP BY. Almost all of the aggregate (including MIN) functions have analytical equivalents.
    However, in this issue, you don't need to. The best analytical approach RANK only, not use MIN. If you ORDER BY sal, the lines with rank = 1 will have the minimum wage.

    Select * from (min (sal) select min_salary, deptno, RANK() ON RN (ORDER BY sal CSA, CSA rownum) of the Group of emp by deptno) WHERE the RN< 20="" order="" by="">

    Try to select plain old sal instead of MIN (sal) and get reid of the GROUP BY clause.

    Add ROWNUM in the ORDER BY clause is to make RANK return the same result as ROW_NUMBER, every time that it is a tie for the sal, the output will still be distinct numbers. which line gets the lower number will be quite arbitrary, and not necessarily the same every time you run the query. For example, MARTIN and WARD have exactly the same salary, 1250. The query you posted would assign rn = 4 to one of them and rn = 5 to another. Who gets 4? It's a toss-up. It could be MARTIN the first time you try, and WARD the next. (In fact, in a very small table like scott.emp, it probably will be consistent, but always arbitrary.) If this is what you want, it would be clearer and simpler just to use ROW_NUMEBR instead of RANK.

  • More help with analytical functions

    I had great hellp here yesterday and I need once more today. I guess I'm still not able to get a solid understanding of analytical functions. So here's the problem:
    table with 3 collars:
    product_id (int), sale_date (to date), count_sold (int) - each file show that the number of items have been sold for the product at a given date.
    The query should return the 3 passes of the table AND a fourth column that contains the date with the best sales of the product. If there are two or more dates with equal sales, the last being is chosen.

    Is this possible using an analytical function appropriately and without using a subquery?

    example:
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    1, 01-01-2008, 10, 05/10/2008,.
    1, 2008-03-10, 20, 10/05/2008
    1, 10/04/2008, 25, 05/10/2008
    1, 10/05/2008, 25, 05/10/2008
    1, 01/06/2008, 22, 05/10/2008
    2, 05/12/2008, 12, 05/12/2008
    2, 06/01/2009, 10, 05/12/2008

    Thank you

    Hello

    Try this:

    SELECT     product_id
,     sale_date
,     count_sold
,     FIRST_VALUE (sale_date) OVER ( PARTITION BY  product_id
                               ORDER BY          count_sold          DESC
                           ,               sale_date          DESC
                         )      AS high_sales_date
FROM     table_x;

    If you would post INSERT statements for your data, then I could test it.

    Focus issue: Why use FIRST_VALUE with descending order and not LAST_VALUE (ASCending) ORDER of default?

  • Report Builder 6i do not recognize the analytical functions

    Hi all, in an attempt to speed up a slow query, I applied the analytical function to it. I can save the query in the generator without any problem, however, I can't create data between this request and other links. After I have comment on the analytical function, data bindings can be made. My colleague says Report Builder 6i is too old so he can recognize only the ANSI SQL syntax. Since our server DB uses Oracle 10 g 2, is there a way for the generator of reports to identify and compile syntax of Oracle 10 g?

    Thank you very much.

    Hello

    Your colleague is right. Even if the SQL query is executed by the DB server, reports must analyze the SQL query.

    The SQL parser included in reports 6i-based 8.0.6

    You can see this version using the report designer:

    Menu: Help-> on Report Builder...

    ORACLE Server Release 8.0.6.0.0

    Concerning

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  • Cannot use analytical functions such as lag/lead in odi components 12 c except in the expression

    Hi I am a beginner of ODI 12 c

    I'm trying to get the last two comments made on the product for a given product id. and load them into a target.

    I have a source table something like

    Product SR_NO comments LAST_UPDATED_TS

    1 good car 2015/05/15 08:30:25

    1 car average 2015/05/15 10:30:25

    Jeep 2 super 2015/05/15 11:30:25

    1 car bad 2015/05/15 11:30:25

    Jeep 2 horrible 2015/05/15 09:30:25

    Jeep 2 excellent 2015/05/15 12:30:25


    I want a target table based on their last timestamp updated as (last two comments)


    SR_NO Comment1 Comment2

    1                             bad                      average

    2 super excellent

    I used the logic below to get records in SQL Developer but in ODI 12 c, I'm not able to do this by mapping a source to the target table by applying analytical functions to the columns in the target table. Can someone help me solve this problem

    SELECT * FROM)

    SELECT SR_NO Comment1, LAG(Comment1,1,) ON Comment2 (SR_NO ORDER BY LAST_UPDATED_TS ASC PARTITION),

    ROW_NUMBER() ON RN (SCORE FROM SR_NO ORDER BY LAST_UPDATED_TS DESC)

    FROM Source_table

    ) M

    WHERE RN = 1

    ;

    UM, I'm afraid that ODI puts the filter too early in the request, if it generates:

    SELECT * FROM)

    SELECT SR_NO Comment1, LAG(Comment1,1,) ON Comment2 (SR_NO ORDER BY LAST_UPDATED_TS ASC PARTITION),

    ROW_NUMBER() ON RN (SCORE FROM SR_NO ORDER BY LAST_UPDATED_TS DESC)

    FROM Source_table

    WHERE RN = 1

    ) M

    ;

    Instead of:

    SELECT * FROM)

    SELECT SR_NO Comment1, LAG(Comment1,1,) ON Comment2 (SR_NO ORDER BY LAST_UPDATED_TS ASC PARTITION),

    ROW_NUMBER() ON RN (SCORE FROM SR_NO ORDER BY LAST_UPDATED_TS DESC)

    FROM Source_table

    ) M

    WHERE RN = 1

    ;

    Even by changing the 'run on Hint"of your component of the expression to get there on the source, the request will stay the same.

    I think the easiest solution for you is to put everything before the filter in a reusable mapping with a signature of output. Then drag this reusable in your mapping as the new source and check the box "subselect enabled."

    Your final mapping should look like this:

    It will be useful.

    Kind regards

    JeromeFr

  • Which analytical function to use?


    Hi gurus,

    DB - Oracle 11 g 2

    I followed the examples of data in the table test_a.

    col1 col2 col3

    -----            -------            --------

    x                 y                   y

    p                 q                  y

    a                b                   y

    p                q                   y

    t                 r                    y

    p                q                   y

    The col3 column is always 'y '. But here's the data p, q, there is repeated 3 times (duplicate) and if this is the case I want to update only the first recordings like "n" col3 it is to say p, q, n. rest will be as it is.

    I am able to get the row_number() for it but not able to do this.

    Select col1, clo2, clo3 row_number() over (partition by col2) arrested by col1 as test_a r_num

    Would it be possible directly by any analytic function?

    Thank you

    SID

    COL4 is logical...

    Something like that?

    with x as)

    Select col1, col2 ' x' 'y', 'y' col3 col4 1 Union double all the

    Select 'p' col1, col2 'q', 'y' col3 col4 2 Union double all the

    Select 'a' col1, col2 'b', 'y' col3 col4 3 of all the double union

    Select 'p' col1, col2 'q', 'y' col3 col4 4 Union double all the

    Select 't' col1, col2 'r', 'y' col3, col4 5 Union double all the

    Select 'p' col1, col2 'q', 'y' col3 col4 6 double

    )

    ---

    Select * from)

    Select x.*,

    ROW_NUMBER() on rn1 (score of col1, col2, col3 col4 sort),

    ROW_NUMBER() on rn2 (partition by col1, col2, col3 col4 desc sorting)

    x

    )

    where rn1 = 1 and rn2 <> 1;

    Understand the logic and simply change SELECT a query to UPDATE...

  • Using the analytic function

    Oracle 11g Release 2

    I'm assuming that the best solution is the use of analytical functions.

    create table test3
( part_type_id  varchar2(50)
,group_id      number
,part_desc_id  number
,part_cmt      varchar2(50)
)
/

insert into test3 values( 'ABC123',1,10,'comment1');
insert into test3 values( 'ABC123',1,10,'comment2');
insert into test3 values( 'ABC123',2,15,'comment1');
insert into test3 values( 'ABC123',2,15,'comment2');
insert into test3 values( 'EFG123',25,75,'comment3');
insert into test3 values( 'EFG123',25,75,'comment4');
insert into test3 values( 'EFG123',25,75,'comment5');
insert into test3 values( 'XYZ123',1,10,'comment6');
insert into test3 values( 'XYZ123',2,15,'comment7');
commit;

select * from test3;

PART_TYPE_ID           GROUP_ID PART_DESC_ID PART_CMT
-------------------- ---------- ------------ --------------------
ABC123                        1           10 comment1
ABC123                        1           10 comment2
ABC123                        2           15 comment1
ABC123                        2           15 comment2
EDG123                        25          75 comment3
EDG123                        25          75 comment4
EDG123                        25          75 comment5
XYZ123                        1           10 comment6
XYZ123                        2           15 comment7

9 rows selected.

Desired output:

PART_TYPE_ID           GROUP_ID PART_DESC_ID PART_CMT
-------------------- ---------- ------------ --------------------
ABC123                        1           10 comment1 
ABC123                        2           15 comment1
XYZ123                        1           10 comment1
XYZ123                        2           15 comment2

RULE: where one part_type_id has multiple (2 or more distinct combinations) of group_id/part_desc_id

NOTE: There are about 12 columns in the table, for brevity I only included 4.

    Post edited by: orclrunner was updated desired output and rule

    Hello

    Here's one way:

    WITH got_d_count AS

    (

    SELECT part_type_id, group_id, part_desc_id

    MIN (part_cmt) AS min_part_cmt

    COUNT AS d_count (*) OVER (PARTITION BY part_type_id)

    OF test3

    GROUP BY part_type_id, group_id, part_desc_id

    )

    SELECT DISTINCT

    group_id, part_desc_id, part_type_id, min_part_cmt

    OF got_d_count

    WHERE d_count > 1

    ;

    Output:

    GROUP_ID PART_DESC_ID MIN_PART_CMT PART_TYPE_ID

    ------------ ---------- ------------ ------------

    ABC123 1 10 comment1

    ABC123 2 15 comment1

    XYZ123 1 10 comment6

    XYZ123 2 15 comment7

    Analytical functions, such as the COUNTY and MIN, many global versions, in addition, it can give the same results.  Use the analytical versions when each row of output corresponds to exactly 1 row of input and the aggregate and GROUP BY version when each line of output corresponds to a group of lines 1 or more input.  In this issue, each line of output appears to be a group of input lines having the same group_id, part_type_id, and part_desc_id (I'm guessing just, this only has never stated), so I used GROUP BY to get 1 row of output for every input lines.

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