Matching 2 Data Sets

Hello -
I am trying to match up 2 separate sources of data. For example, let's say I have a set of wine data that is categoried by varietal, region, year, winery, etc. And let's say I get a 2nd set of wine data that is not categorized. I was thinking setting up
some Named Entity Recognitions would be a good way to do this, but I can't for the life of me figure out how to do that. Any thoughts on that approach? Suggestion on a different approach? Maybe loading up training data and then have the system predict the
different classifications based on a single input string for each wine?
Any help is much appreciated. Thank you!
Scott
Scott

Thanks for the reply, Roope! So, the second data set would be a simple single column. For example, a value might be "2012 Talbott Chardonnay Sleepy Hollow Vineyard". I can certainly parse some of that stuff out (liek year), but it gets difficult
when there are tens of thousands of records and there are always slight inconsistencies (like the word "Winery" being inserted of "Ch." instead of "Chateau" and a hundred other things).
Is this kind of like what you mean?
http://giventocode.com/build-a-recommendations-system-for-your-blog-or-web-site-using-azure-machine-learning-and-azure-mobile-services#.VHSRkovF-Xw
Or is there an article or some settings or an article that you can refer me to that might be helpful? Thanks!
Scott
Scott

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You are going to kick yourself, but, you haven't assigned any page element the ID #equipment. The region is called that but the table or the DIV does not have an idea and your selector matches nothing...

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Thnaks for that reply and for effort you are putting to solve my issue.
I had done the same thing what u have posted prior to your reply but still i am getting dump.
FORM f_get_legacy_data .
DATA: l_tab type xstring,
        l_tab1(1) type c,
        s type x.
move '23' to l_tab.
move l_tab to l_tab1.
OPEN DATASET v_pfile FOR INPUT IN TEXT MODE ENCODING DEFAULT.
OPEN DATASET v_pfile FOR INPUT IN TEXT MODE ENCODING DEFAULT.
IF sy-subrc <> 0.
   MESSAGE text-207 TYPE c_e.
ELSE.
DO.
    CLEAR wa_input1.
   READ DATASET v_pfile INTO wa_input1.
    READ DATASET v_pfile INTO wa_read.
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      move wa_read to i_txt-txt.
      append i_txt.
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ENDDO.
s = '09'.
loop at i_txt.
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   move '#' to l_tab1.
   split i_txt-txt at s into wa_input1-vbeln wa_input1-posnr
    split i_txt-txt at '#' into wa_input1-vbeln wa_input1-posnr
                                   wa_input1-per0bal wa_input1-per1val
                                   wa_input1-per2val wa_input1-per3val
                                   wa_input1-per4val wa_input1-per5val
                                   wa_input1-per6val wa_input1-per7val
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ENDFORM.                    " GET_LEGACY_DATA
When i am giving input as
Directory /pw/data/erp/D5S/fi/up
Name: Backlog1616_D1S.txt
BKCOPO1           BKSOI1        1000.00                100.00                 -200.00                0                      0                      0                      0                      0                      0                      0
BKSOPO2           BKSOI2        2222.22                0                      300                    0                      0                      0                      0                      0                      0                      0
BKSOPO3           BKSOI3        -3000                  400                    0                      0                      0                      0                      0                      0                      0                      0
BKSOPO4                         4000.55                500                    600                    0                      0                      0                      0                      0                      0                      0
0040000000        000010        -100                   -110                   -110                   0                      0                      -600                   0                      0                      0                      0
0040000001        000010        -110                   -110                   0                      0                      0                      -610                   0                      0                      0                      0
I am getting i_input internal table populated as follows at the end of that subroutine.
After appending [APPEND wa_input TO i_input].
BKCOPO1#BK|000000|            0.00 |            0.00 |            0.00    |
BKSOPO2#BK|000000|            0.00 |            0.00 |            0.00    |
BKCOPO3#BK|000000|            0.00 |            0.00 |            0.00    |
BKCOPO4##4|000000|            0.00 |            0.00 |            0.00    |
0040000000|000000|            0.00 |            0.00 |            0.00    |
0040000001|000000|            0.00 |            0.00 |            0.00    |
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10g: parallel pipelined table func - distributing DISTINCT data sets

Hi,
i want to distribute data records, selected from cursor, via parallel pipelined table function to multiple worker threads for processing and returning result records.
The tables, where i am selecting data from, are partitioned and subpartitioned.
All tables share the same partitioning/subpartitioning schema.
Each table has a column 'Subpartition_Key', which is hashed to a physical subpartition.
E.g. the Subpartition_Key ranges from 000...999, but we have only 10 physical subpartitions.
The select of records is done partition-wise - one partition after another (in bulks).
The parallel running worker threads select more data from other tables for their processing (2nd level select)
Now my goal is to distribute initial records to the worker threads in a way, that they operate on distinct subpartitions - to decouple the access to resources (for the 2nd level select)
But i cannot just use 'parallel_enable(partition curStage1 by hash(subpartition_key))' for the distribution.
hash(subpartition_key) (hashing A) does not match with the hashing B used to assign the physical subpartition for the INSERT into the tables.
Even when i remodel the hashing B, calculate some SubPartNo(subpartition_key) and use that for 'parallel_enable(partition curStage1 by hash(SubPartNo))' it doesn't work.
Also 'parallel_enable(partition curStage1 by range(SubPartNo))' doesn't help. The load distribution is unbalanced - some worker threads get data of one subpartition, some of multiple subpartitions, some are idle.
How can i distribute the records to the worker threads according a given subpartition-schema?
+[amendment:+
Actually the hashing for the parallel_enable is counterproductive here - it would be better to have some 'parallel_enable(partition curStage1 by SubPartNo)'.]
- many thanks!
best regards,
Frank
Edited by: user8704911 on Jan 12, 2012 2:51 AM

Hello
A couple of things to note. 1, when you use partition by hash(or range) on 10gr2 and above, there is an additional BUFFER SORT operation vs using partition by ANY. For small datasets this is not necessarily an issue, but the temp space used by this stage can be significant for larger data sets. So be sure to check temp space usage for this process or you could run into problems later.
| Id | Operation                             | Name     | Rows | Bytes | Cost (%CPU)| Time     | Pstart| Pstop |    TQ |IN-OUT| PQ Distrib |
|   0 | SELECT STATEMENT                      |          | 8168 | 1722K|    24   (0)| 00:00:01 |       |       |        |      |            |
|   1 | PX COORDINATOR                       |          |       |       |            |          |       |       |        |      |            |
|   2 |   PX SEND QC (RANDOM)                 | :TQ10001 | 8168 | 1722K|    24   (0)| 00:00:01 |       |       | Q1,01 | P->S | QC (RAND) |
|   3 |****BUFFER SORT****                    |          | 8168 | 1722K|            |          |       |       | Q1,01 | PCWP |            |
|   4 |     VIEW                              |          | 8168 | 1722K|    24   (0)| 00:00:01 |       |       | Q1,01 | PCWP |            |
|   5 |      COLLECTION ITERATOR PICKLER FETCH| TF       |       |       |            |          |       |       | Q1,01 | PCWP |            |
|   6 |       PX RECEIVE                      |          |   100 | 4800 |     2   (0)| 00:00:01 |       |       | Q1,01 | PCWP |            |
|   7 |        PX SEND HASH                   | :TQ10000 |   100 | 4800 |     2   (0)| 00:00:01 |       |       | Q1,00 | P->P | HASH       |
|   8 |         PX BLOCK ITERATOR             |          |   100 | 4800 |     2   (0)| 00:00:01 |     1 |    10 | Q1,00 | PCWC |            |
|   9 |          TABLE ACCESS FULL            | TEST_TAB |   100 | 4800 |     2   (0)| 00:00:01 |     1 |    20 | Q1,00 | PCWP |            |
-----------------------------------------------------------------------------------------------------------------------------------------------It may be in this case that you can use clustering with partition by any to achieve your goal...
create or replace package test_pkg as
     type Test_Tab_Rec_t is record (
          Tracking_ID                 number(19),
          Partition_Key               date,
          Subpartition_Key            number(3),
          sid                    number
     type Test_Tab_Rec_Tab_t is table of Test_Tab_Rec_t;
     type Test_Tab_Rec_Hash_t is table of Test_Tab_Rec_t index by binary_integer;
     type Test_Tab_Rec_HashHash_t is table of Test_Tab_Rec_Hash_t index by binary_integer;
     type Cur_t is ref cursor return Test_Tab_Rec_t;
     procedure populate;
     procedure report;
     function tf(cur in Cur_t)
     return test_list pipelined
     parallel_enable(partition cur by hash(subpartition_key));
     function tf_any(cur in Cur_t)
     return test_list PIPELINED
    CLUSTER cur BY (Subpartition_Key)
     parallel_enable(partition cur by ANY);
end;
create or replace package body test_pkg as
     procedure populate
     is
          Tracking_ID number(19) := 1;
          Partition_Key date := current_timestamp;
          Subpartition_Key number(3) := 1;
     begin
          dbms_output.put_line(chr(10) || 'populate data into Test_Tab...');
          for Subpartition_Key in 0..99
          loop
               for ctr in 1..1
               loop
                    insert into test_tab (tracking_id, partition_key, subpartition_key)
                    values (Tracking_ID, Partition_Key, Subpartition_Key);
                    Tracking_ID := Tracking_ID + 1;
               end loop;
          end loop;
          dbms_output.put_line('...done (populate data into Test_Tab)');
     end;
     procedure report
     is
          recs Test_Tab_Rec_Tab_t;
     begin
          dbms_output.put_line(chr(10) || 'list data per partition/subpartition...');
          for item in (select partition_name, subpartition_name from user_tab_subpartitions where table_name='TEST_TAB' order by partition_name, subpartition_name)
          loop
               dbms_output.put_line('partition/subpartition = ' || item.partition_name || '/' || item.subpartition_name || ':');
               execute immediate 'select * from test_tab SUBPARTITION(' || item.subpartition_name || ')' bulk collect into recs;
               if recs.count > 0
               then
                    for i in recs.first..recs.last
                    loop
                         dbms_output.put_line('...' || recs(i).Tracking_ID || ', ' || recs(i).Partition_Key || ', ' || recs(i).Subpartition_Key);
                    end loop;
               end if;
          end loop;
          dbms_output.put_line('... done (list data per partition/subpartition)');
     end;
     function tf(cur in Cur_t)
     return test_list pipelined
     parallel_enable(partition cur by hash(subpartition_key))
     is
          sid number;
          input Test_Tab_Rec_t;
          output test_object;
     begin
          select userenv('SID') into sid from dual;
          loop
               fetch cur into input;
               exit when cur%notfound;
               output := test_object(input.tracking_id, input.partition_key, input.subpartition_key,sid);
               pipe row(output);
          end loop;
     end;
     function tf_any(cur in Cur_t)
     return test_list PIPELINED
    CLUSTER cur BY (Subpartition_Key)
     parallel_enable(partition cur by ANY)
     is
          sid number;
          input Test_Tab_Rec_t;
          output test_object;
     begin
          select userenv('SID') into sid from dual;
          loop
               fetch cur into input;
               exit when cur%notfound;
               output := test_object(input.tracking_id, input.partition_key, input.subpartition_key,sid);
               pipe row(output);
          end loop;
     end;
end;
XXXX> with parts as (
2 select --+ materialize
3      data_object_id,
4      subobject_name
5 FROM
6      user_objects
7 WHERE
8      object_name = 'TEST_TAB'
9 and
10      object_type = 'TABLE SUBPARTITION'
11 )
12 SELECT
13        COUNT(*),
14        parts.subobject_name,
15        target.sid
16 FROM
17        parts,
18        test_tab tt,
19        test_tab_part_hash target
20 WHERE
21        tt.tracking_id = target.tracking_id
22 and
23        parts.data_object_id = DBMS_MView.PMarker(tt.rowid)
24 GROUP BY
25        parts.subobject_name,
26        target.sid
27 ORDER BY
28        target.sid,
29        parts.subobject_name
30 /
XXXX> INSERT INTO test_tab_part_hash select * from table(test_pkg.tf(CURSOR(select * from test_tab)))
2 /
100 rows created.
Elapsed: 00:00:00.14
XXXX>
XXXX> INSERT INTO test_tab_part_any_cluster select * from table(test_pkg.tf_any(CURSOR(select * from test_tab)))
2 /
100 rows created.
--using partition by hash
XXXX> with parts as (
2 select --+ materialize
3      data_object_id,
4      subobject_name
5 FROM
6      user_objects
7 WHERE
8      object_name = 'TEST_TAB'
9 and
10      object_type = 'TABLE SUBPARTITION'
11 )
12 SELECT
13        COUNT(*),
14        parts.subobject_name,
15        target.sid
16 FROM
17        parts,
18        test_tab tt,
19        test_tab_part_hash target
20 WHERE
21        tt.tracking_id = target.tracking_id
22 and
23        parts.data_object_id = DBMS_MView.PMarker(tt.rowid)
24 GROUP BY
25        parts.subobject_name,
26        target.sid
27 /
COUNT(*) SUBOBJECT_NAME                        SID
         3 SYS_SUBP31                           1272
         1 SYS_SUBP32                           1272
         1 SYS_SUBP33                           1272
         3 SYS_SUBP34                           1272
         1 SYS_SUBP36                           1272
         1 SYS_SUBP37                           1272
         3 SYS_SUBP38                           1272
         1 SYS_SUBP39                           1272
         1 SYS_SUBP32                           1280
         2 SYS_SUBP33                           1280
         2 SYS_SUBP34                           1280
         1 SYS_SUBP35                           1280
         2 SYS_SUBP36                           1280
         1 SYS_SUBP37                           1280
         2 SYS_SUBP38                           1280
         1 SYS_SUBP40                           1280
         2 SYS_SUBP33                           1283
         2 SYS_SUBP34                           1283
         2 SYS_SUBP35                           1283
         2 SYS_SUBP36                           1283
         1 SYS_SUBP37                           1283
         1 SYS_SUBP38                           1283
         2 SYS_SUBP39                           1283
         1 SYS_SUBP40                           1283
         1 SYS_SUBP32                           1298
         1 SYS_SUBP34                           1298
         1 SYS_SUBP36                           1298
         2 SYS_SUBP37                           1298
         4 SYS_SUBP38                           1298
         2 SYS_SUBP40                           1298
         1 SYS_SUBP31                           1313
         1 SYS_SUBP33                           1313
         1 SYS_SUBP39                           1313
         1 SYS_SUBP40                           1313
         1 SYS_SUBP32                           1314
         1 SYS_SUBP35                           1314
         1 SYS_SUBP38                           1314
         1 SYS_SUBP40                           1314
         2 SYS_SUBP33                           1381
         1 SYS_SUBP34                           1381
         1 SYS_SUBP35                           1381
         3 SYS_SUBP36                           1381
         3 SYS_SUBP37                           1381
         1 SYS_SUBP38                           1381
         2 SYS_SUBP36                           1531
         1 SYS_SUBP37                           1531
         2 SYS_SUBP38                           1531
         1 SYS_SUBP39                           1531
         1 SYS_SUBP40                           1531
         2 SYS_SUBP33                           1566
         1 SYS_SUBP34                           1566
         1 SYS_SUBP35                           1566
         1 SYS_SUBP37                           1566
         1 SYS_SUBP38                           1566
         2 SYS_SUBP39                           1566
         3 SYS_SUBP40                           1566
         1 SYS_SUBP32                           1567
         3 SYS_SUBP33                           1567
         3 SYS_SUBP35                           1567
         3 SYS_SUBP36                           1567
         1 SYS_SUBP37                           1567
         2 SYS_SUBP38                           1567
62 rows selected.
--using partition by any cluster by subpartition_key
Elapsed: 00:00:00.26
XXXX> with parts as (
2 select --+ materialize
3      data_object_id,
4      subobject_name
5 FROM
6      user_objects
7 WHERE
8      object_name = 'TEST_TAB'
9 and
10      object_type = 'TABLE SUBPARTITION'
11 )
12 SELECT
13        COUNT(*),
14        parts.subobject_name,
15        target.sid
16 FROM
17        parts,
18        test_tab tt,
19        test_tab_part_any_cluster target
20 WHERE
21        tt.tracking_id = target.tracking_id
22 and
23        parts.data_object_id = DBMS_MView.PMarker(tt.rowid)
24 GROUP BY
25        parts.subobject_name,
26        target.sid
27 ORDER BY
28        target.sid,
29        parts.subobject_name
30 /
COUNT(*) SUBOBJECT_NAME                        SID
        11 SYS_SUBP37                           1253
        10 SYS_SUBP34                           1268
         4 SYS_SUBP31                           1289
        10 SYS_SUBP40                           1314
         7 SYS_SUBP39                           1367
         9 SYS_SUBP35                           1377
        14 SYS_SUBP36                           1531
         5 SYS_SUBP32                           1572
        13 SYS_SUBP33                           1577
        17 SYS_SUBP38                           1609
10 rows selected.Bear in mind though that this does require a sort of the incomming dataset but does not require buffering of the output...
PLAN_TABLE_OUTPUT
Plan hash value: 2570087774
| Id | Operation                            | Name     | Rows | Bytes | Cost (%CPU)| Time     | Pstart| Pstop |    TQ |IN-OUT| PQ Distrib |
|   0 | SELECT STATEMENT                     |          | 8168 | 1722K|    24   (0)| 00:00:01 |       |       |        |      |            |
|   1 | PX COORDINATOR                      |          |       |       |            |          |       |       |        |      |            |
|   2 |   PX SEND QC (RANDOM)                | :TQ10000 | 8168 | 1722K|    24   (0)| 00:00:01 |       |       | Q1,00 | P->S | QC (RAND) |
|   3 |    VIEW                              |          | 8168 | 1722K|    24   (0)| 00:00:01 |       |       | Q1,00 | PCWP |            |
|   4 |     COLLECTION ITERATOR PICKLER FETCH| TF_ANY   |       |       |            |          |       |       | Q1,00 | PCWP |            |
|   5 |      SORT ORDER BY                   |          |       |       |            |          |       |       | Q1,00 | PCWP |            |
|   6 |       PX BLOCK ITERATOR              |          |   100 | 4800 |     2   (0)| 00:00:01 |     1 |    10 | Q1,00 | PCWC |            |
|   7 |        TABLE ACCESS FULL             | TEST_TAB |   100 | 4800 |     2   (0)| 00:00:01 |     1 |    20 | Q1,00 | PCWP |            |
----------------------------------------------------------------------------------------------------------------------------------------------HTH
David

Table Comparison to pull back non matching data

Hello,
I have been working on the below for a few days now and cannot figure out how to get the desired results. Was hoping someone could point me in the right direction. I have attached the data below and the queries I have come up with so far. I only need data for MU_ID (3,7,4) and only need SKILL_NM ('THICV','HELPDESK_FOUNDATIONAL','SPANISH','AUTO','HELPDESK_COMPLEX','HOUSE_COMPLEX','BOAT','HOUSE','HELPDESK','HELPDESK_MODERATE') as there are hundreds more in the actual tables. I also have the problem of the skill levels for the foundational, moderate, complex skill names from the IEX table. If SKILL_LEVEL is 0-2 on the GEN table they are listed as _FOUNDATIONAL in the IEX table, 3-7 is _MODERATE, 8-10 is _COMPLEX but only for the SKILL_NM 'HELPDESK' & 'HOUSE'.
CREATE TABLE IEX(
MU_ID         NUMBER(5),
AGENT_NM      VARCHAR2(30),
EXTERNAL_ID   VARCHAR2(8),
SKILL_NM      VARCHAR2(50))
CREATE TABLE GEN(
USER_ID       VARCHAR2(8),
SKILL_NM      VARCHAR2(255),
SKILL_LEVEL   NUMBER(10))
INSERT INTO IEX(MU_ID,AGENT_NM,EXTERNAL_ID,SKILL_NM)VALUES(3,'ROBERTS,CHRIS','ROBERT1','THICV')
INSERT INTO IEX(MU_ID,AGENT_NM,EXTERNAL_ID,SKILL_NM)VALUES(3,'ROBERTS,CHRIS','ROBERT1','HELPDESK_FOUNDATIONAL')
INSERT INTO IEX(MU_ID,AGENT_NM,EXTERNAL_ID,SKILL_NM)VALUES(7,'SEW,HEATHER','SEW1','SPANISH')
INSERT INTO IEX(MU_ID,AGENT_NM,EXTERNAL_ID,SKILL_NM)VALUES(7,'SEW,HEATHER','SEW1','AUTO')
INSERT INTO IEX(MU_ID,AGENT_NM,EXTERNAL_ID,SKILL_NM)VALUES(4,'PRATT,MIKE','PRATT2','HOUSE_COMPLEX')
INSERT INTO IEX(MU_ID,AGENT_NM,EXTERNAL_ID,SKILL_NM)VALUES(4,'PRATT,MIKE','PRATT2','HELPDESK_MODERATE')
INSERT INTO IEX(USER_ID,SKILL_NM,SKILL_LEVEL)VALUES('ROBERT1','THICV',1)
INSERT INTO IEX(USER_ID,SKILL_NM,SKILL_LEVEL)VALUES('ROBERT1','HELPDESK',7)
INSERT INTO IEX(USER_ID,SKILL_NM,SKILL_LEVEL)VALUES('SEW1','SPANISH',1)
INSERT INTO IEX(USER_ID,SKILL_NM,SKILL_LEVEL)VALUES('SEW1','BOAT',1)
INSERT INTO IEX(USER_ID,SKILL_NM,SKILL_LEVEL)VALUES('PRATT2','HOUSE',9)
INSERT INTO IEX(USER_ID,SKILL_NM,SKILL_LEVEL)VALUES('PRATT2','HELPDESK',2)
DESIRED RESULTS:
MU_ID      AGENT_NM                EXTERNAL_ID      IEX_SKILL_NM                                GEN_SKILL_NM      SKILL_LEVEL
3                ROBERTS,CHRIS      ROBERT1            NULL                                                     HELPDESK                7
3                ROBERTS,CHRIS      ROBERT1            HELPDESK_FOUNDATIONAL      NULL                           NULL
7                SEW,HEATHER           SEW1                      AUTO                                                NULL                           NULL
7                SET,HEATHER           SEW1                      NULL                                                     BOAT                           1
4                PRATT,MIKE                PRATT2                 HELPDESK_MODERATE                     NULL                           NULL
4                PRATT,MIKE                PRATT2                 NULL                                                          HELPDESK                2
I wrote the 2 below queries, the first one is getting some of the data I need, but not all of it. The second one was something I was playing around with to see if it would do that I need, looks kinda like it works but pulling back way more data than I need and I cannot figure out how to have the skill level data in it.
SELECT
A.MU_ID,
A.AGENT_NM,
A.EXTERNAL_ID,
A.SKILL_NM
FROM IEX A
WHERE
A.mu_id IN
   ('3', '4', '7') AND
UPPER (A.AGENT_NM) NOT LIKE ('%Temp%') AND
    A.EXTERNAL_ID IS NOT NULL
AND A.SKILL_NM NOT IN
(SELECT B.SKILL_NM
FROM GEN B
WHERE A.EXTERNAL_ID = B.USER_ID
and A.SKILL_NM = B.SKILL_NM)
ORDER BY AGENT_NM ASC
(SELECT
   A.EXTERNAL_ID,
   A.SKILL_NM
FROM
   IEX A
WHERE
   A.MU_ID IN ('3', '4', '7')
MINUS
SELECT
   B.USER_ID,
   B.SKILL_NM
FROM
   GEN B
WHERE
   B.SKILL_NM IN
     ('THICV',
      'HELPDESK_FOUNDATIONAL',
      'SPANISH',
      'AUTO',
      'HELPDESK_COMPLEX',
      'HOUSE_COMPLEX',
      'BOAT',
      'HOUSE',
      'HELPDESK',
      'HELPDESK_MODERATE'))
UNION ALL
(SELECT
   B.USER_ID,
   B.SKILL_NM
FROM
   GEN B
WHERE
   B.SKILL_NM IN
     ('THICV',
      'HELPDESK_FOUNDATIONAL',
      'SPANISH',
      'AUTO',
      'HELPDESK_COMPLEX',
      'HOUSE_COMPLEX',
      'BOAT',
      'HOUSE',
      'HELPDESK',
      'HELPDESK_MODERATE')
MINUS
SELECT
   A.EXTERNAL_ID,
   A.SKILL_NM
FROM
   IEX A
WHERE
   A.MU_ID IN ('3', '4', '7'))

Thanks Frank,
I guess I explained it wrong. What you provided does pull back non matching data but is also pulling back matching data. Below is the exact query I am using and sample data. What is need to show all skill_nm that do not match each other from both table. There are a handful of skill_nm that I have to use a condition with levels to make them match up based on "complex" "moderate" "foundational" but only these few need to have that condition and everything else is just straight up does skill_nm from a = skill_nm.
My current query:
SELECT
A.MU_ID,
A.AGENT_NM,
B.USER_ID AS EXTERNAL_ID,
A.SKILL_NM AS IEX_SKILL_NM,
B.SKILL_NM AS GEN_SKILL_NM,
B.SKILL_LEVEL
FROM
LIGHTHOUSE.IEX_AGT_SKILL A
FULL OUTER JOIN
LIGHTHOUSE.CFG_PERSON_SKILL_VALUES B
    ON A.EXTERNAL_ID = B.USER_ID AND
       A.SKILL_NM = B.SKILL_NM
     || CASE
            WHEN B.SKILL_NM NOT IN ('THIPayment','THIPL','SPSC') THEN NULL
          WHEN B.SKILL_LEVEL <= 2 THEN '_FOUNDATIONAL'
        WHEN B.SKILL_LEVEL <= 7 THEN '_MODERATE'
      WHEN B.SKILL_LEVEL <= 10 THEN '_COMPLEX'
     END AND
            A.MU_ID IN
         ('3','4','5','6','7','12','14','220','222','410','411','412','413','414','415','480','600','650','717','720','721',
          '722','723','800','801','3008','3010','3012','3100','4200','4201','4202','4203','4400','4401','4402','4404')
Doing this, it is looking at the SKILL_LEVEL for all SKILL_NM and pulling back things that do match, but not on the level. I only need to have skill level match up for:
GENESYS
IEX
SKILL LEVEL
THIPayment
THIPayment_Complex
8 to 9
THIPayment_Foundational
0-1
THIPayment_Moderate
2 to 7
THIPL
THIPL_Complex
8 to 9
THIPL_Foundational
0-1
THIPL_Moderate
2 to 7
SPSC
SPSC_Foundational
0- 1
SPSC_Moderate
2 to 7
PLSCLegacy
PLSCLegacy_Complex
8 to 9
PLSCLegacy_Foundational
0- 1
PLSCLegacy_Moderate
2 to 7
PLSCPCIO
PLSCPCIO_Complex
8 to 9
PLSCPCIO_Foundational
0- 1
PLSCPCIO_Moderate
2 to 7
CREATE TABLE IEX_AGT_SKILL(
MU_ID         NUMBER(5),
AGENT_NM      VARCHAR2(30),
EXTERNAL_ID   VARCHAR2(8),
SKILL_NM      VARCHAR2(50))
CREATE TABLE CFG_PERSON_SKILL_VALUES(
USER_ID       VARCHAR2(8),
SKILL_NM      VARCHAR2(255),
SKILL_LEVEL   NUMBER(10))
INSERT INTO IEX_AGT_SKILL(MU_ID,AGENT_NM,EXTERNAL_ID,SKILL_NM)VALUES(3,'ROBERTS,CHRIS','ROBERT1','THIPayment_FOUNDATIONAL')
INSERT INTO IEX_AGT_SKILL(MU_ID,AGENT_NM,EXTERNAL_ID,SKILL_NM)VALUES(3,'ROBERTS,CHRIS','ROBERT1','SPSC_FOUNDATIONAL')
INSERT INTO IEX_AGT_SKILL(MU_ID,AGENT_NM,EXTERNAL_ID,SKILL_NM)VALUES(7,'SEW,HEATHER','SEW1','SPSC_MODERATE')
INSERT INTO IEX_AGT_SKILL(MU_ID,AGENT_NM,EXTERNAL_ID,SKILL_NM)VALUES(7,'SEW,HEATHER','SEW1','SPSC_BOAT')
INSERT INTO IEX_AGT_SKILL(MU_ID,AGENT_NM,EXTERNAL_ID,SKILL_NM)VALUES(4,'PRATT,MIKE','PRATT2','THIPayment_COMPLEX')
INSERT INTO IEX_AGT_SKILL(MU_ID,AGENT_NM,EXTERNAL_ID,SKILL_NM)VALUES(4,'PRATT,MIKE','PRATT2','HELPDESK')
INSERT INTO CFG_PERSON_SKILL_VALUES(USER_ID,SKILL_NM,SKILL_LEVEL)VALUES('ROBERT1','THIPayment',1)
INSERT INTO CFG_PERSON_SKILL_VALUES(USER_ID,SKILL_NM,SKILL_LEVEL)VALUES('ROBERT1','SPSC',7)
INSERT INTO CFG_PERSON_SKILL_VALUES(USER_ID,SKILL_NM,SKILL_LEVEL)VALUES('SEW1','SPSC',1)
INSERT INTO CFG_PERSON_SKILL_VALUES(USER_ID,SKILL_NM,SKILL_LEVEL)VALUES('SEW1','SPSC_BOAT',1)
INSERT INTO CFG_PERSON_SKILL_VALUES(USER_ID,SKILL_NM,SKILL_LEVEL)VALUES('PRATT2','SPANISH',9)
INSERT INTO CFG_PERSON_SKILL_VALUES(USER_ID,SKILL_NM,SKILL_LEVEL)VALUES('PRATT2','HELPDESK',2)
DESIRED OUTCOME:
MU_ID AGENT_NM       EXTERNAL_ID    IEX_SKILL_NM                   GEN_SKILL_NM
3     ROBERTS,CHRIS ROBERT1           SPSC_FOUNDATIONAL
3     ROBERTS,CHRIS ROBERT1                                                            SPSC_MODERATE
7     SEW,HEATHER      SEW1                     SPSC_MODERATE
7     SEW,HEATHER      SEW1                                                                  SPSC_FOUNDATIONAL
4     PRATT,MIKE            PRATT2                   THIPayment_COMPLEX
4     PRATT,MIKE            PRATT2                                                              SPANISH

Data set

Hi
I am developing a mobile application about physical fitness for an undergraduate final year project and one of the features I would like to include is to give suggestions to the user on how to make their workout(walking, jogging or running) more effective, for example it will tell the user the best workout plan given their level of physical fitness etc.
I would like to achieve this using data mining, are there any data sets related to this area and if so from where can I get one?
Thanks

If I were u here is the first approach I will use:
You can try to estimate the physical well being score as a user by assigning them EXTREME, GOOD, MEDIUM, POOR scores (notice that this is something subjective you need to define as the domain expert). Than you can use the following variables as the predictors/inputs:
- Average/Median/Maximum/Minimum miles run in a week/day/month in last week/month/quarter/year.
- Average/Median/Maximum/Minimum cardio minutes in a week/day/month in last week/month/quarter/year.
- Average/Median/Maximum/Minimum pounds in bench-press/squad/biceps/triceps in a week/day/month in last week/month/quarter/year.
I think you got the idea for possible inputs you can define. One important issue is that since you don't know whether average or maximum value for an input will work or not so you need to define all of them (all combinations of all dimensions: statistical function, metric itself, time-window size and break-down time-window size). As a result you will have more variables than you need. Feed them into Oracle Data Mining Attribute Importance algorithm to select really relevant ones.
Then build an Oracle decision tree model to estimate physical well being value.
Once you are done you can export the model as an XML file.
Now what you need to do is to generate fitness recommendations to POOR, MEDIUM and GOOD guys. Here is the flow:
1. Take a user and find the matching decision tree rule for it.
2. If it is not classified as EXTREME find the diff of rules between your rule set and rule sets for classes better than your class (XML operation over Decision Tree XML).
3. Choose the minimum sized diff set. Actually these are most probably the changes your user needs to make in his/her fitness program. Present it properly in your mobile application.
Incrementally you can improve your model by adding age, gender, etc. But remember to start as a minimalist.

Possible feature: Automatic data set linking...

A useful feature to add to Spry: Data set linking within the
definition of a dataset.
Although this can be achieved using filtering or dataset
regeneration programming, it would simplify the coding process
tremendously if done at the dataset definition level.
For example:
var dsCategories = new
Spry.Data.XMLDataSet("cetrgories.xml", "category");
var dsItems = new Spry.Data.XMLDataSet("items.xml",
"category/item", { link: "category = dsCategories.category"});
Here, the 'link' specification would cause the dsItems to be
automatically filtered on the field {category} matching the current
dsCategories row field {category} value when the
dsCategories.CurrentRow changes.

Hi B_r_u_n_o,
You can already do this today with XPath filtering as Don
mentioned:
var dsCategories = new Spry.Data.XMLDataSet("cetrgories.xml",
"category");
var dsItems = new Spry.Data.XMLDataSet("items.xml",
"category/item[category = '{dsCategories::category}']");
--== Kin ==--

XML Data Set selection by attribute?

I am new to Spry and was trying to work with the XML Data Set
feature. I have an XML file with the schema listed below. I wanted
to know if it were possible to only grab the data from this XML
file if it matches a certain type? For example, grab data from
seminarType where @type="condition1"? Is this able to be done or
will I have to generate an XML file for each type? My goals was to
have one large file to grab data from.
<seminars>
<seminarType type="">
<seminarSession type="">
<seminar>
<location><![CDATA[]]></location>
<date></date>
<time></time>
<seats></seats>
<directions><![CDATA[]]></directions>
</seminar>
</seminarSession>
</seminarType>
</seminars>

The seminar node contains all the information I want to grab.
I need to be able to select those nodes based off seminarType @type
and then seminarSession @type.
Example:
<seminars>
<seminarType type="type1">
<seminarSession type="session1">
<seminar>
<location><![CDATA[location]]></location>
<date>12-12-2007</date>
<time>14:00</time>
<seats>23</seats>
<directions><![CDATA[mapquest
directions]]></directions>
</seminar>
</seminarSession>
<seminarSession type="session2">
<seminar>
<location><![CDATA[location]]></location>
<date>10-08-2007</date>
<time>10:00</time>
<seats>15</seats>
<directions><![CDATA[mapquest
directions]]></directions>
</seminar>
</seminarSession>
</seminarType>
</seminars>
So I would want to grab all the session nodes where
seminarType @type="type1" and seminarSession @type="session1"
Does this help?

Nested Left Outer Join : Data Set

Hi All
I am bit confused about data set used by Nested Left outer join.
Can anyone help me.
Here is sample data:
Tables (Name, 3 Column each, total rows and matched rows if any):
     Table 1
     A     B     C
     Total 20 Rows
     Table 2
     A     D     E
     Total 50 Rows and 10 Matching on      2.A = 1.A
     Table 3
     D     M     N
     Total 15 Rows and 15 Matching on 3.D = 2.D
     Table 4
     M     X     Y
     Total 20 Rows and 10 Matching on 4.M = 3.M
Sql
select *
From Table 1
Left Outer Join on Table 2 on
               2.A = 1.A
-- Data set 1 will contain 20 Rows (10 matching and 10 non matching)
Left Outer Join on Table 3 on
               3.D = 2.D
-- What will be data set? 20 Rows of Data set 1 or 15 Matching Rows?
Left Outer Join on Table 4 on
               4.M = 3.M
-- What will be data set? X Rows of Data set 2 or 10 Matching Rows?
Please have a look and clear my understanding.

SeshuGiri wrote:
I have two tables defined (below). Emp table has data and there is no data in Emp_Type table yet! Right now it is empty.
I want to write a query that returns data from both the tables even though there is no data in Emp_type table. I am using left outer join but it returning nothing. Anyone can help?
select *
from emp e
left outer join emp_Type t
on e.empid = t.empid
WHERE t.type_id = 1
and t.end_date is null;
The join is including all rows from emp, just like you want.
The WHERE clause is discarding all of those rows. Since all the columns from emp_type (alias t) are NULL, the condition "t.type_id = 1" in the WHERE clause is never true.
Perhaps you meant to include all those conditions in the join conditions, like this:
select *
from emp e
left outer join emp_Type t
    on e.empid = t.empid
   and t.type_id = 1
   and t.end_date is null;Edited by: Frank Kulash on Jan 30, 2012 3:56 PM

Design studio 1.3 - No matching data found in getDataAsString

I had developed a dashboard using DS1.2 and we have no upgraded our Business objects platform to BO 4.1 and upgraded to Design studio 1.3
I am not getting an error message "No matching data found in getDataAsString("006EI2SHD6LIVHQ6UOHCIDRDB", {}).", which worked in DS1.2.
I see the data on a cross table but it is only when I try and set the text as per below coding.
// Master data spend Items
TEXT_1.setText(DS_1.getDataAsString("006EI2SHD6LIVHQ6UOHCIDRDB",{}));

com.sap.ip.bi.zen.rt.framework.jsengine.JsEngineException: org.mozilla.javascript.WrappedException: Wrapped java.lang.NullPointerException
at com.sap.ip.bi.zen.rt.framework.jsengine.rhino.RhinoJsEngine.handleError(RhinoJsEngine.java:141)
at com.sap.ip.bi.zen.rt.framework.jsengine.rhino.RhinoJsEngine.doRunScript(RhinoJsEngine.java:70)
at com.sap.ip.bi.zen.rt.framework.jsengine.JsEngine.runScript(JsEngine.java:32)
at com.sap.ip.bi.zen.rt.framework.jsengine.rhino.RhinoScriptInterpreterBialService.interprete(RhinoScriptInterpreterBialService.java:191)
at com.sap.ip.bi.base.command.impl.Command.interprete(Command.java:189)
at com.sap.ip.bi.webapplications.runtime.impl.page.Page.processCommandSequence(Page.java:4662)
at com.sap.ip.bi.webapplications.runtime.impl.page.Page.doProcessRequest(Page.java:2537)
at com.sap.ip.bi.webapplications.runtime.impl.page.Page._processRequest(Page.java:774)
at com.sap.ip.bi.webapplications.runtime.impl.page.Page.processRequest(Page.java:5080)
at com.sap.ip.bi.webapplications.runtime.impl.page.Page.processRequest(Page.java:5073)
at com.sap.ip.bi.webapplications.runtime.impl.controller.Controller.doProcessRequest(Controller.java:1238)
at com.sap.ip.bi.webapplications.runtime.impl.controller.Controller._processRequest(Controller.java:1088)
at com.sap.ip.bi.webapplications.runtime.impl.controller.Controller.processRequest(Controller.java:1054)
at com.sap.ip.bi.webapplications.runtime.impl.controller.Controller.processRequest(Controller.java:1)
at com.sap.ip.bi.server.runtime.sevice.impl.BIRuntimeServerService._handleRequest(BIRuntimeServerService.java:538)
at com.sap.ip.bi.server.runtime.sevice.impl.BIRuntimeServerService.handleRequest(BIRuntimeServerService.java:943)
at com.sap.ip.bi.server.execution.engine.runtime.BIExecutionEngineRuntime.executeRequest(BIExecutionEngineRuntime.java:48)
at com.sap.ip.bi.framework.base.execution.impl.BIExecutionService.executeRequest(BIExecutionService.java:54)
at com.sap.ip.bi.client.execution.AbstractExecutionServlet.handleRequest(AbstractExecutionServlet.java:161)
at com.sap.ip.bi.client.servlet.BIPrivateServlet.handleRequest(BIPrivateServlet.java:36)
at com.sap.ip.bi.client.execution.AbstractExecutionServlet.doPost(AbstractExecutionServlet.java:140)
at javax.servlet.http.HttpServlet.service(HttpServlet.java:755)
at javax.servlet.http.HttpServlet.service(HttpServlet.java:848)
at org.eclipse.equinox.http.servlet.internal.ServletRegistration.service(ServletRegistration.java:61)
at org.eclipse.equinox.http.servlet.internal.FilterChainImpl.doFilter(FilterChainImpl.java:38)
at com.sap.ip.bi.zen.webserver.internal.ZenSessionFilter.doFilter(ZenSessionFilter.java:42)
at org.eclipse.equinox.http.servlet.internal.FilterRegistration.doFilter(FilterRegistration.java:81)
at org.eclipse.equinox.http.servlet.internal.FilterChainImpl.doFilter(FilterChainImpl.java:35)
at org.eclipse.equinox.http.servlet.internal.ProxyServlet.processAlias(ProxyServlet.java:132)
at org.eclipse.equinox.http.servlet.internal.ProxyServlet.service(ProxyServlet.java:60)
at javax.servlet.http.HttpServlet.service(HttpServlet.java:848)
at org.eclipse.equinox.http.jetty.internal.HttpServerManager$InternalHttpServiceServlet.service(HttpServerManager.java:386)
at org.eclipse.jetty.servlet.ServletHolder.handle(ServletHolder.java:669)
at org.eclipse.jetty.servlet.ServletHandler.doHandle(ServletHandler.java:457)
at org.eclipse.jetty.server.session.SessionHandler.doHandle(SessionHandler.java:229)
at org.eclipse.jetty.server.handler.ContextHandler.doHandle(ContextHandler.java:1075)
at org.eclipse.jetty.servlet.ServletHandler.doScope(ServletHandler.java:384)
at org.eclipse.jetty.server.session.SessionHandler.doScope(SessionHandler.java:193)
at org.eclipse.jetty.server.handler.ContextHandler.doScope(ContextHandler.java:1009)
at org.eclipse.jetty.server.handler.ScopedHandler.handle(ScopedHandler.java:135)
at org.eclipse.jetty.server.handler.HandlerWrapper.handle(HandlerWrapper.java:116)
at org.eclipse.jetty.server.Server.handle(Server.java:368)
at org.eclipse.jetty.server.AbstractHttpConnection.handleRequest(AbstractHttpConnection.java:489)
at org.eclipse.jetty.server.AbstractHttpConnection.content(AbstractHttpConnection.java:953)
at org.eclipse.jetty.server.AbstractHttpConnection$RequestHandler.content(AbstractHttpConnection.java:1014)
at org.eclipse.jetty.http.HttpParser.parseNext(HttpParser.java:861)
at org.eclipse.jetty.http.HttpParser.parseAvailable(HttpParser.java:235)
at org.eclipse.jetty.server.AsyncHttpConnection.handle(AsyncHttpConnection.java:82)
at org.eclipse.jetty.io.nio.SelectChannelEndPoint.handle(SelectChannelEndPoint.java:628)
at org.eclipse.jetty.io.nio.SelectChannelEndPoint$1.run(SelectChannelEndPoint.java:52)
at org.eclipse.jetty.util.thread.QueuedThreadPool.runJob(QueuedThreadPool.java:608)
at org.eclipse.jetty.util.thread.QueuedThreadPool$3.run(QueuedThreadPool.java:543)
at java.lang.Thread.run(Unknown Source)
Caused by: org.mozilla.javascript.WrappedException: Wrapped java.lang.NullPointerException
at org.mozilla.javascript.Context.throwAsScriptRuntimeEx(Context.java:1786)
at org.mozilla.javascript.MemberBox.invoke(MemberBox.java:183)
at org.mozilla.javascript.NativeJavaMethod.call(NativeJavaMethod.java:247)
at org.mozilla.javascript.Delegator.call(Delegator.java:229)
at com.sap.ip.bi.zen.rt.framework.jsengine.rhino.shared.CustomFunction.call(CustomFunction.java:36)
at org.mozilla.javascript.Interpreter.interpretLoop(Interpreter.java:1701)
at org.mozilla.javascript.Interpreter.interpret(Interpreter.java:854)
at org.mozilla.javascript.InterpretedFunction.call(InterpretedFunction.java:164)
at org.mozilla.javascript.ContextFactory.doTopCall(ContextFactory.java:426)
at com.sap.ip.bi.zen.rt.framework.jsengine.rhino.CustomContextFactory.doTopCall(CustomContextFactory.java:54)
at org.mozilla.javascript.ScriptRuntime.doTopCall(ScriptRuntime.java:3178)
at org.mozilla.javascript.Context.callFunctionWithContinuations(Context.java:1204)
at org.mozilla.javascript.Context.executeScriptWithContinuations(Context.java:1171)
at com.sap.ip.bi.zen.rt.framework.jsengine.rhino.RhinoJsEngine.doRunScript(RhinoJsEngine.java:60)
... 51 more
Caused by: java.lang.NullPointerException
at com.sap.ip.bi.zen.rt.components.ds.impl.DataSourceCommandResolver.getCell(DataSourceCommandResolver.java:1239)
at com.sap.ip.bi.zen.rt.components.ds.impl.DataSourceCommandResolver.getDataAsString(DataSourceCommandResolver.java:1095)
at sun.reflect.GeneratedMethodAccessor103.invoke(Unknown Source)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(Unknown Source)
at java.lang.reflect.Method.invoke(Unknown Source)
at org.mozilla.javascript.MemberBox.invoke(MemberBox.java:161)
... 63 more

Speed up data set calls

Hey
I am currently working on a timetable lookup system. I have 2
tables setup, each with 35 cells and each searching through over
1000 lines of XML. As you can imagine this takes bloomin ages!
Is there any way to speed this process up? You can see the
code I am using below
SCRIPT:
<script type="text/javascript">

<div>Mon A</div>
<div>Tue A</div>
<div>Wed A</div>
<div>Thu A</div>
<div>Fri A</div>
</div>
<div class="ttWrap">

<div spry:repeat="timetable"
spry:test="displayData('{Name}', ' Mon A 1', '{ChosenName}',
'{Surname}')">{Description}<br
/>{Initials}    {Name1}</div>
<div spry:repeat="timetable"
spry:test="displayData('{Name}', ' Tue A 1', '{ChosenName}',
'{Surname}')">{Description}<br
/>{Initials}    {Name1}</div>
<div spry:repeat="timetable"
spry:test="displayData('{Name}', ' Wed A 1', '{ChosenName}',
'{Surname}')">{Description}<br
/>{Initials}    {Name1}</div>
<div spry:repeat="timetable"
spry:test="displayData('{Name}', ' Thu A 1', '{ChosenName}',
'{Surname}')">{Description}<br
/>{Initials}    {Name1}</div>
<div spry:repeat="timetable"
spry:test="displayData('{Name}', ' Fri A 1', '{ChosenName}',
'{Surname}')">{Description}<br
/>{Initials}    {Name1}</div>

<div spry:repeat="timetable"
spry:test="displayData('{Name}', ' Mon A 2', '{ChosenName}',
'{Surname}')">{Description}<br
/>{Initials}    {Name1}</div>
<div spry:repeat="timetable"
spry:test="displayData('{Name}', ' Tue A 2', '{ChosenName}',
'{Surname}')">{Description}<br
/>{Initials}    {Name1}</div>
<div spry:repeat="timetable"
spry:test="displayData('{Name}', ' Wed A 2', '{ChosenName}',
'{Surname}')">{Description}<br
/>{Initials}    {Name1}</div>
<div spry:repeat="timetable"
spry:test="displayData('{Name}', ' Thu A 2', '{ChosenName}',
'{Surname}')">{Description}<br
/>{Initials}    {Name1}</div>
<div spry:repeat="timetable"
spry:test="displayData('{Name}', ' Fri A 2', '{ChosenName}',
'{Surname}')">{Description}<br
/>{Initials}    {Name1}</div>

<div spry:repeat="timetable"
spry:test="displayData('{Name}', ' Mon A 3', '{ChosenName}',
'{Surname}')">{Description}<br
/>{Initials}    {Name1}</div>
<div spry:repeat="timetable"
spry:test="displayData('{Name}', ' Tue A 3', '{ChosenName}',
'{Surname}')">{Description}<br
/>{Initials}    {Name1}</div>
<div spry:repeat="timetable"
spry:test="displayData('{Name}', ' Wed A 3', '{ChosenName}',
'{Surname}')">{Description}<br
/>{Initials}    {Name1}</div>
<div spry:repeat="timetable"
spry:test="displayData('{Name}', ' Thu A 3', '{ChosenName}',
'{Surname}')">{Description}<br
/>{Initials}    {Name1}</div>
<div spry:repeat="timetable"
spry:test="displayData('{Name}', ' Fri A 3', '{ChosenName}',
'{Surname}')">{Description}<br
/>{Initials}    {Name1}</div>

<div spry:repeat="timetable"
spry:test="displayData('{Name}', ' Mon A 4', '{ChosenName}',
'{Surname}')">{Description}<br
/>{Initials}    {Name1}</div>
<div spry:repeat="timetable"
spry:test="displayData('{Name}', ' Tue A 4', '{ChosenName}',
'{Surname}')">{Description}<br
/>{Initials}    {Name1}</div>
<div spry:repeat="timetable"
spry:test="displayData('{Name}', ' Wed A 4', '{ChosenName}',
'{Surname}')">{Description}<br
/>{Initials}    {Name1}</div>
<div spry:repeat="timetable"
spry:test="displayData('{Name}', ' Thu A 4', '{ChosenName}',
'{Surname}')">{Description}<br
/>{Initials}    {Name1}</div>
<div spry:repeat="timetable"
spry:test="displayData('{Name}', ' Fri A 4', '{ChosenName}',
'{Surname}')">{Description}<br
/>{Initials}    {Name1}</div>

<div spry:repeat="timetable"
spry:test="displayData('{Name}', ' Mon A 5', '{ChosenName}',
'{Surname}')">{Description}<br
/>{Initials}    {Name1}</div>
<div spry:repeat="timetable"
spry:test="displayData('{Name}', ' Tue A 5', '{ChosenName}',
'{Surname}')">{Description}<br
/>{Initials}    {Name1}</div>
<div spry:repeat="timetable"
spry:test="displayData('{Name}', ' Wed A 5', '{ChosenName}',
'{Surname}')">{Description}<br
/>{Initials}    {Name1}</div>
<div spry:repeat="timetable"
spry:test="displayData('{Name}', ' Thu A 5', '{ChosenName}',
'{Surname}')">{Description}<br
/>{Initials}    {Name1}</div>
<div spry:repeat="timetable"
spry:test="displayData('{Name}', ' Fri A 5', '{ChosenName}',
'{Surname}')">{Description}<br
/>{Initials}    {Name1}</div>

<div spry:repeat="timetable"
spry:test="displayData('{Name}', ' Mon A 6', '{ChosenName}',
'{Surname}')">{Description}<br
/>{Initials}    {Name1}</div>
<div spry:repeat="timetable"
spry:test="displayData('{Name}', ' Tue A 6', '{ChosenName}',
'{Surname}')">{Description}<br
/>{Initials}    {Name1}</div>
<div spry:repeat="timetable"
spry:test="displayData('{Name}', ' Wed A 6', '{ChosenName}',
'{Surname}')">{Description}<br
/>{Initials}    {Name1}</div>
<div spry:repeat="timetable"
spry:test="displayData('{Name}', ' Thu A 6', '{ChosenName}',
'{Surname}')">{Description}<br
/>{Initials}    {Name1}</div>
<div spry:repeat="timetable"
spry:test="displayData('{Name}', ' Fri A 6', '{ChosenName}',
'{Surname}')">{Description}<br
/>{Initials}    {Name1}</div>

<div spry:repeat="timetable"
spry:test="displayData('{Name}', ' Mon A 7', '{ChosenName}',
'{Surname}')">{Description}<br
/>{Initials}    {Name1}</div>
<div spry:repeat="timetable"
spry:test="displayData('{Name}', ' Tue A 7', '{ChosenName}',
'{Surname}')">{Description}<br
/>{Initials}    {Name1}</div>
<div spry:repeat="timetable"
spry:test="displayData('{Name}', ' Wed A 7', '{ChosenName}',
'{Surname}')">{Description}<br
/>{Initials}    {Name1}</div>
<div spry:repeat="timetable"
spry:test="displayData('{Name}', ' Thu A 7', '{ChosenName}',
'{Surname}')">{Description}<br
/>{Initials}    {Name1}</div>
<div spry:repeat="timetable"
spry:test="displayData('{Name}', ' Fri A 7', '{ChosenName}',
'{Surname}')">{Description}<br
/>{Initials}    {Name1}</div>
</div>

Variable Data Set has only one thing but the error asks for more

Hi -
I have a PSD (CS5, Win7) where I've defines 5 layers with variable names. One of them is the Heading layer with the variable named varHeading. The Data Set I'm importing is very simple in that only the Heading layer will change. I'm gone over the construction of this text file a number of times but when I try to Import it as a Data Set I get the error:
"Could not parse the file contents as a data set. There were not enough variable names in the first line of the text file."
varHeading
"BABY CAR SEAT AECC0841"
"BABY CAR SEAT AECC0842"
"BABY CAR SEAT AECC0843"
"BABY CAR SEAT AECC0844"
"BABY CAR SEAT AECC0845"
My first question is - does the number of variables stored in the PSD file have to match the variable names in the first line of the text file??
If NOT - can someone please help me figure out what I'm doing wrong?
TIA your expert input.
j2

When you say you have defined 5 layers with variable names are you trying to attach the data set, that has one column, to each one at the same time? Did you create the data set in the Photoshop Data Sets Dialog ? The error that you are getting pops up when you have defined more variables than you have in your data set.

Open data set and close data set

hi all,
i have some doubt in open/read/close data set
how to transfer data from internal table to sequential file, how we find sequential file.
thanks and regards
chaitanya

Hi Chaitanya,
Refer Sample Code:
constants:   c_split         TYPE c
                           VALUE cl_abap_char_utilities=>horizontal_tab,
           c_path          TYPE char100
                           VALUE '/local/data/interface/A28/DM/OUT'.
Selection Screen
SELECTION-SCREEN BEGIN OF BLOCK b1 WITH FRAME TITLE text-001.
PARAMETERS : rb_pc    RADIOBUTTON GROUP r1 DEFAULT 'X'
                                USER-COMMAND ucomm,    "For Presentation
             p_f1     LIKE rlgrap-filename
                                      MODIF ID rb1,    "Input File
             rb_srv   RADIOBUTTON GROUP r1,             "For Application
             p_f2     LIKE rlgrap-filename
                                     MODIF ID rb2,     "Input File
             p_direct TYPE char128 MODIF ID abc DEFAULT c_path.
                                                       "File directory
SELECTION-SCREEN END OF BLOCK b1.
AT SELECTION-SCREEN ON VALUE-REQUEST FOR p_f1.
*-- Browse Presentation Server
PERFORM f1000_browse_presentation_file.
AT SELECTION-SCREEN ON VALUE-REQUEST FOR p_f2.
*-- Browse Application Server
PERFORM f1001_browse_appl_file.
AT SELECTION-SCREEN OUTPUT.
LOOP AT SCREEN.
    IF rb_pc = 'X' AND screen-group1 = 'RB2'.
      screen-input = '0'.
      MODIFY SCREEN.
    ELSEIF rb_srv = 'X' AND screen-group1 = 'RB1'.
      screen-input = '0'.
      MODIFY SCREEN.
    ENDIF.
    IF screen-group1 = 'ABC'.
      screen-input = '0'.
      MODIFY SCREEN.
    ENDIF.
ENDLOOP.
*&      Form f1000_browse_presentation_file
      Pick up the filepath for the file in the presentation server
FORM f1000_browse_presentation_file .
CONSTANTS: lcl_path TYPE char20 VALUE 'C:'.
CALL FUNCTION 'WS_FILENAME_GET'
    EXPORTING
      def_path         = lcl_path
      mask             = c_mask "',.,..'
      mode             = c_mode
      title            = text-006
    IMPORTING
      filename         = p_f1
    EXCEPTIONS
      inv_winsys       = 1
      no_batch         = 2
      selection_cancel = 3
      selection_error = 4
      OTHERS           = 5.
IF sy-subrc <> 0.
   MESSAGE ID sy-msgid TYPE sy-msgty NUMBER sy-msgno
           WITH sy-msgv1 sy-msgv2 sy-msgv3 sy-msgv4.
    flg_pre = c_x.
ENDIF.
ENDFORM.                    " f1000_browse_presentation_file
*&      Form f1001_browse_appl_file
   Pick up the file path for the file in the application server
FORM f1001_browse_appl_file .
DATA: lcl_directory TYPE char128.
lcl_directory = p_direct.
CALL FUNCTION '/SAPDMC/LSM_F4_SERVER_FILE'
    EXPORTING
      directory        = lcl_directory
      filemask         = c_mask
    IMPORTING
      serverfile       = p_f2
    EXCEPTIONS
      canceled_by_user = 1
      OTHERS           = 2.
IF sy-subrc <> 0.
   MESSAGE e000(zmm) WITH text-039.
   flg_app = 'X'.
ENDIF.
ENDFORM.                    " f1001_browse_appl_file
*&      Form f1003_pre_file
    Upload the file from the presentation server
FORM f1003_pre_file .
DATA: lcl_filename TYPE string.
lcl_filename = p_f1.
IF p_f1 IS NOT INITIAL.
    CALL FUNCTION 'GUI_UPLOAD'
      EXPORTING
        filename                = lcl_filename
        filetype                = 'ASC'
        has_field_separator     = 'X'
      TABLES
        data_tab                = i_input
      EXCEPTIONS
        file_open_error         = 1
        file_read_error         = 2
        no_batch                = 3
        gui_refuse_filetransfer = 4
        invalid_type            = 5
        no_authority            = 6
        unknown_error           = 7
        bad_data_format         = 8
        header_not_allowed      = 9
        separator_not_allowed   = 10
        header_too_long         = 11
        unknown_dp_error        = 12
        access_denied           = 13
        dp_out_of_memory        = 14
        disk_full               = 15
        dp_timeout              = 16
        OTHERS                  = 17.
    IF sy-subrc <> 0.
      MESSAGE s000 WITH text-031.
      EXIT.
    ENDIF.
ELSE.
   PERFORM populate_error_log USING space
                                    text-023.
ENDIF.
ENDFORM.                    " f1003_pre_file
*&      Form f1004_app_file
     upload the file from the application server
FORM f1004_app_file .
REFRESH: i_input.
OPEN DATASET p_f2 IN TEXT MODE ENCODING DEFAULT FOR INPUT.
IF sy-subrc EQ 0.
    DO.
      READ DATASET p_f2 INTO wa_input_rec.
      IF sy-subrc EQ 0.
*-- Split The CSV record into Work Area
        PERFORM f0025_record_split.
*-- Populate internal table.
        APPEND wa_input TO i_input.
        CLEAR wa_input.
        IF sy-subrc <> 0.
          MESSAGE s000 WITH text-030.
          EXIT.
        ENDIF.
      ELSE.
        EXIT.
      ENDIF.
    ENDDO.
ENDIF.
ENDFORM. " f1004_app_file
Move the assembly layer file into the work area
FORM f0025_record_split .
CLEAR wa_input.
SPLIT wa_input_rec AT c_split INTO
    wa_input-legacykey
    wa_input-bu_partner
    wa_input-anlage.
ENDFORM.                    " f0025_record_split
Reward points if this helps.
Manish

Report Builder Wizard and Parameter Creation with values from other data source e.g. data set or views for non-IT users or Business Analysts

Hi,
"Report Builder is a report authoring environment for business users who prefer to work in the Microsoft Office environment.
You work with one report at a time. You can modify a published report directly from a report server. You can quickly build a report by adding items from the Report Part Gallery provided by report designers from your organization." - As mentioned
on TechNet.
I wonder how a non-technical business analyst can use Report Builder 3 to create ad-hoc reports/analysis with list of parameters based on other data sets.
Do they need to learn TSQL or how to add and link parameter in Report Builder? then How they can add parameter into a report. Not sure what i am missing from whole idea behind Report builder then?
I have SQL Server 2012 STD and Report Builder 3.0 and want to train non-technical users to create reports as per their need without asking to IT department.
Everything seems simple and working except parameters with list of values e.g. Sales year List, Sales Month List, Gender etc. etc.
So how they can configure parameters based on Other data sets?
Workaround in my mind is to create a report with most of columns and add most frequent parameters based on other data sets and then non-technical user modify that report according to their needs but that way its still restricting users to
a set of defined reports?
I want functionality like "Excel Power view parameters" into report builder which is driven from source data and which is only available Excel 2013 onward which most of people don't have yet.
So how to use Report Builder. Any other thoughts or workaround or guide me the purpose of Report Builder, please let me know.
Many thanks and Kind Regards,
For quick review of new features, try virtual labs: http://msdn.microsoft.com/en-us/aa570323

Hi Asam,
If we want to create a parameter depend on another dataset, we can additional create or add the dataset, embedded or shared, that has a query that contains query variables. Then use the option that “Get values from a
query” to get available values. For more details, please see:http://msdn.microsoft.com/en-us/library/dd283107.aspx
http://msdn.microsoft.com/en-us/library/dd220464.aspx
As to the Report Builder features, we can refer to the following articles:http://technet.microsoft.com/en-us/library/hh213578.aspx
http://technet.microsoft.com/en-us/library/hh965699.aspx
Hope this helps.
Thanks,
Katherine Xiong
Katherine Xiong
TechNet Community Support

OIM 9.1 User data set

Hi,
In release note of 9.1 it is mentioned that :
Display of all OIM User attributes on the Step 3: Modify Connector Configuration page
On the Step 3: Modify Connector Configuration page, the OIM - User data set now shows all the OIM User attributes. In the earlier release, the display of fields was restricted to the ones that were most commonly used.
and
Attributes of the ID field are editable
On the Step 3: Modify Connector Configuration page, you can modify some of the attributes of the ID field. The ID field stores the value that uniquely identifies a user in Oracle Identity Manager and in the target system.
Can anyone please guide me how to get both things as I am getting only few fields of user profile in OIM-USer data set and also not able to modify ID field.
I am using OIM 9.1 on Websphere application server 6.1
Thanks

Unfortunately i do not have experience using the SPML generic connector. Have you read through all the documentation pertaining to the GTC?
-Kevin

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