Table cell is longer than 176 cm in smartforms

Hi all,
While printing the smart form output it is giving
error : single table cell is longer than 176 cm
I found the problem , one of the table field is getting more records
Those records are not fitting in the screen , what I will do?
I referred note #690836 in this I found this solution ..
u201Cif the text is really longer than 176 centimeters, it cannot be output in a table row. In this case, you must switch to a normal text output in a loop before outputting the table.u201D
How can I switch to normal text output ,can any one give clear idea about this
Inside main table i find one loop condition which is printing more data..

the problem is the length is so huge it will probably not fit on a single page...
anyway the smarter way to solve it would be to split the contents of your field into another internal table and put the records of this internal table in different rows of your table
I guess your field is of string type, then you can use function module SO_STRING_TO_TAB to get your contents into SOLI format then it will be easier to output it

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Hi all,
Below is the code I have written,when Iam running it Iam getting
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REPORT ZTEST1 NO STANDARD PAGE HEADING LINE-SIZE 255.
TABLES:MARC,CDHDR,CDPOS.
TYPE-POOLS:SLIS.
DATA:HEADER TYPE SLIS_T_FIELDCAT_ALV,
     WA TYPE SLIS_FIELDCAT_ALV,
     LAYOUT TYPE SLIS_LAYOUT_ALV.
TYPES:BEGIN OF MARC_TY,
        MATNR LIKE MARC-MATNR,
        WERKS LIKE MARC-WERKS,
        EKGRP LIKE MARC-EKGRP,
        MINBE LIKE MARC-MINBE,
        EISBE LIKE MARC-EISBE,
        MABST LIKE MARC-MABST,
       END OF MARC_TY.
TYPES:BEGIN OF MATNR1_TY,
        MATNR1 LIKE CDHDR-OBJECTID,
      END OF MATNR1_TY.
TYPES:BEGIN OF CDHDR_TY,
         OBJECTCLAS LIKE CDHDR-OBJECTCLAS,
         OBJECTID   LIKE CDHDR-OBJECTID,
         CHANGENR   LIKE CDHDR-CHANGENR,
         USERNAME   LIKE CDHDR-USERNAME,
         UDATE      LIKE CDHDR-UDATE,
        END OF CDHDR_TY.
TYPES:BEGIN OF CDPOS_TY,
         OBJECTCLAS LIKE CDPOS-OBJECTCLAS,
         OBJECTID   LIKE CDPOS-OBJECTID,
         CHANGENR   LIKE CDPOS-CHANGENR,
         TABNAME    LIKE CDPOS-TABNAME,
         FNAME      LIKE CDPOS-FNAME,
         CHNGIND    LIKE CDPOS-CHNGIND,
         VALUE_NEW LIKE CDPOS-VALUE_NEW,
         VALUE_OLD LIKE CDPOS-VALUE_OLD,
        END OF CDPOS_TY.
**************TABLE TYPES********************************************
TYPES: MARC_TAB   TYPE TABLE OF MARC_TY,
       MATNR1_TAB TYPE TABLE OF MATNR1_TY,
       CDHDR_TAB TYPE TABLE OF CDHDR_TY,
       CDPOS_TAB TYPE TABLE OF CDPOS_TY.
*******************INTERNAL TABLES************************************
DATA:MARC_ITAB   TYPE MARC_TAB,
     MATNR1_ITAB TYPE MATNR1_TAB,
     CDHDR_ITAB TYPE CDHDR_TAB,
     CDPOS_ITAB TYPE CDPOS_TAB.
****************WORK AREAS********************************************
DATA:MARC_WA   TYPE MARC_TY,
     MATNR1_WA TYPE MATNR1_TY,
     CDHDR_WA TYPE CDHDR_TY,
     CDPOS_WA TYPE CDPOS_TY.
*******************SELECTION-SCREEN***********************************
SELECTION-SCREEN BEGIN OF BLOCK B1 WITH FRAME TITLE TEXT-000.
PARAMETERS:PLANT LIKE MARC-WERKS.
SELECT-OPTIONS:MATERIAL FOR MARC-MATNR.
SELECT-OPTIONS:DATE FOR CDHDR-UDATE.
SELECTION-SCREEN END OF BLOCK B1.
START-OF-SELECTION.
SELECT MATNR
        WERKS
        EKGRP
        MINBE
        EISBE
        MABST
        FROM MARC INTO TABLE MARC_ITAB
        WHERE MATNR IN MATERIAL
        AND WERKS = PLANT.
CHECK MARC_ITAB[] IS NOT INITIAL.
LOOP AT MARC_ITAB INTO MARC_WA.
   MATNR1_WA-MATNR1 = MARC_WA-MATNR.
   APPEND MATNR1_WA TO MATNR1_ITAB.
   CLEAR MATNR1_WA.
ENDLOOP.
CHECK MATNR1_ITAB[] IS NOT INITIAL.
SELECT OBJECTCLAS
        OBJECTID
        CHANGENR
        USERNAME
        UDATE
        FROM CDHDR INTO TABLE CDHDR_ITAB
        FOR ALL ENTRIES IN MATNR1_ITAB
        WHERE OBJECTCLAS = 'MATERIAL'
        AND OBJECTID = MATNR1_ITAB-MATNR1
        AND UDATE IN DATE.
CHECK CDHDR_ITAB[] IS NOT INITIAL.
SORT CDHDR_ITAB[] DESCENDING BY OBJECTID CHANGENR.
DELETE ADJACENT DUPLICATES FROM CDHDR_ITAB[] COMPARING OBJECTID.
SELECT OBJECTCLAS
       OBJECTID
       CHANGENR
       TABNAME
       FNAME
       CHNGIND
       VALUE_NEW
       VALUE_OLD
       FROM CDPOS INTO CORRESPONDING FIELDS OF TABLE CDPOS_ITAB
       FOR ALL ENTRIES IN CDHDR_ITAB
       WHERE OBJECTCLAS = CDHDR_ITAB-OBJECTCLAS
       AND OBJECTID = CDHDR_ITAB-OBJECTID
       AND CHANGENR = CDHDR_ITAB-CHANGENR
       AND TABNAME = 'MARC'
       AND FNAME    IN ('MINBE','EISBE','MABST','LVORM')
       AND CHNGIND = 'U'.
CHECK CDPOS_ITAB[] IS NOT INITIAL.
*LOOP AT CDPOS_ITAB INTO CDPOS_WA.
WRITE: / CDPOS_WA-OBJECTCLAS,
         CDPOS_WA-OBJECTID,
         CDPOS_WA-CHANGENR,
         CDPOS_WA-TABNAME,
         CDPOS_WA-FNAME,
         CDPOS_WA-CHNGIND,
         CDPOS_WA-VALUE_NEW,
         CDPOS_WA-VALUE_OLD.
*ENDLOOP.
WA-SELTEXT_L = 'OBJECTCLAS'.
WA-COL_POS   = '1'.
WA-FIELDNAME = 'OBJECTCLAS'.
WA-TABNAME   = 'CDPOS_ITAB'.
WA-OUTPUTLEN = '15'.
APPEND WA TO HEADER.
CLEAR WA.
WA-SELTEXT_L = 'OBJECTID'.
WA-COL_POS   = '2'.
WA-FIELDNAME = 'OBJECTID'.
WA-TABNAME   = 'CDPOS_ITAB'.
WA-OUTPUTLEN = '20'.
APPEND WA TO HEADER.
CLEAR WA.
WA-SELTEXT_L = 'CHANGENR'.
WA-COL_POS   = '3'.
WA-FIELDNAME = 'CHANGENR'.
WA-TABNAME   = 'CDPOS_ITAB'.
WA-OUTPUTLEN = '8'.
APPEND WA TO HEADER.
CLEAR WA.
WA-SELTEXT_L = 'TABNAME'.
WA-COL_POS   = '4'.
WA-FIELDNAME = 'TABNAME'.
WA-TABNAME   = 'CDPOS_ITAB'.
WA-OUTPUTLEN = '5'.
APPEND WA TO HEADER.
CLEAR WA.
WA-SELTEXT_L = 'FNAME'.
WA-COL_POS   = '5'.
WA-FIELDNAME = 'FNAME'.
WA-TABNAME   = 'CDPOS_ITAB'.
WA-OUTPUTLEN = '7'.
APPEND WA TO HEADER.
CLEAR WA.
WA-SELTEXT_L = 'CHANGING'.
WA-COL_POS   = '6'.
WA-FIELDNAME = 'CHANGING'.
WA-TABNAME   = 'CDPOS_ITAB'.
WA-OUTPUTLEN = '1'.
APPEND WA TO HEADER.
CLEAR WA.
WA-SELTEXT_L = 'VALUE_NEW'.
WA-COL_POS   = '7'.
WA-FIELDNAME = 'VALUE_NEW'.
WA-TABNAME   = 'CDPOS_ITAB'.
WA-OUTPUTLEN = '5'.
APPEND WA TO HEADER.
CLEAR WA.
WA-SELTEXT_L = 'VALUE_OLD'.
WA-COL_POS   = '8'.
WA-FIELDNAME = 'VALUE_OLD'.
WA-TABNAME   = 'CDPOS_ITAB'.
WA-OUTPUTLEN = '5'.
APPEND WA TO HEADER.
CLEAR WA.
CALL FUNCTION 'REUSE_ALV_FIELDCATALOG_MERGE'
EXPORTING
    I_PROGRAM_NAME               = SY-REPID
    I_INTERNAL_TABNAME           = 'CDPOS_ITAB'
    I_CLIENT_NEVER_DISPLAY       = 'X'
    I_INCLNAME                   = SY-REPID
CHANGING
    CT_FIELDCAT                  = HEADER[]
EXCEPTIONS
IF SY-SUBRC <> 0.
ENDIF.
CALL FUNCTION 'REUSE_ALV_GRID_DISPLAY'
EXPORTING
    I_CALLBACK_PROGRAM                = SY-REPID
    IT_FIELDCAT                       = HEADER[]
TABLES
    T_OUTTAB                          = CDPOS_ITAB[]
IF SY-SUBRC <> 0.
ENDIF.

Your select querry on MARC is not matching with MARC_TY.
The field in the MARC table and MARC_TY should be same.
and also, when you are making select querry on CDPOS table
with all entries.
When ever you are using all entries select statement, you should check whether the internal table is having value.
you should check
if CDPOS_IT[] is not initial.
SELECT OBJECTCLAS
OBJECTID
CHANGENR
TABNAME
FNAME
CHNGIND
VALUE_NEW
VALUE_OLD
FROM CDPOS INTO CORRESPONDING FIELDS OF TABLE CDPOS_ITAB
FOR ALL ENTRIES IN CDHDR_ITAB
WHERE OBJECTCLAS = CDHDR_ITAB-OBJECTCLAS
AND OBJECTID = CDHDR_ITAB-OBJECTID
AND CHANGENR = CDHDR_ITAB-CHANGENR
AND TABNAME = 'MARC'
AND FNAME IN ('MINBE','EISBE','MABST','LVORM')
AND CHNGIND = 'U'.
endif.
Regards
Madhan D

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Hi All,
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How do I get a table longer than a page?
The table itself contains all the information and can be seen when I select a large type of paper (eg Tabloid). But when the page is shorter than the table (eg Letter), instead of seeing the table spread across 2 pages, I can only see part of it (the part that fits in one page).
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Welcome
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Hi there
Hope everyone is doing well
I have been using the addt looper wizard and it works great.....
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I seem to have figured out how to loop cells....
Should have thought of it earliar but anyway
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How do I read from a text file that is longer than 65536 lines and write the data to an Excel spreadsheet and have the data write to a new column once the 65536 cells are filled in a column?

I have data that is in basic generic text file format that needs to be converted into Excel spreadsheet format. The data is much longer than 65536 lines, and in my code I haven't been able to figure out how to carry over the data into the next column. Currently the conversion is done manually and generates an Excel file that has a total of 30-40 full columns of data. Any suggestions would be greatly appreciated.
Thanks,
Darrick
Solved!
Go to Solution.

No need to use nested For loops. No need for any loop anyway. You just have to use a reshape array function. The picture below shows how to proceed.
However, there may be an issue if your element number is not a multiple of the number of columns : zero value elements will be added at the end of the last column in the generated 2D array. Now the issue depends on the way you intend store the data in the Excel spreadsheet : you could convert the data as strings, replace the last zero values with empty strings, and write the whole 2D array to a file (with the .xls extension ) using the write to spreadsheet function. Only one (minimal) problem : define the number of decimal digits to be used;
or you could write the numeric array directly to a true Excel spreadsheet, using either the NI report generation tools or ActiveX commands, then replace the last elements with empty strings.
We need more input from you to decide how to solve these last questions.
Message Edité par chilly charly le 01-13-2009 09:29 PM
Chilly Charly (aka CC)
E-List Master - Kudos glutton - Press the yellow button on the left...
Attachments:
Example_VI.png ‏10 KB

Do partition scans take longer than a full table scan on an unpartitioned table?

Hello there,
I have a range-partitioned table PART_TABLE which has 10 Million records and 10 partitions having 1 million records each. Partition is done based on a Column named ID which is a sequence from 1 to 10 million.
I created another table P2_BKP (doing a select * from part_table) which has the same dataset as that of PART_TABLE except that this table is not partitioned.
Now, I run a same query on both the tables to retrieve a range of data. Precisely I am trying to read only the data present in 5 partitions of the partitioned tables which theoretically requires less reads than when done on unpartitioned tables.
Yet, the query seems to take extra time on partitioned table than when run on unpartitioned table.Any specific reason why is this the case?
Below is the query I am trying to run on both the tables and their corresponding Explain Plans.
QUERY A
=========
select * from P2_BKP where id<5000000;
| Id | Operation         | Name   | Rows | Bytes | Cost (%CPU)| Time     |
|   0 | SELECT STATEMENT |        | 6573K|   720M| 12152   (2)| 00:02:26 |
|* 1 | TABLE ACCESS FULL| P2_BKP | 6573K|   720M| 12152   (2)| 00:02:26 |
QUERY B
========
select * from part_table where id<5000000;
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, padding varchar2(100)
partition by list (col_part)
    partition P00 values (0)
, partition P01 values (1)
, partition P02 values (2)
, partition P03 values (3)
, partition P04 values (4)
, partition P05 values (5)
, partition P06 values (6)
, partition P07 values (7)
, partition P08 values (8)
, partition P09 values (9)
insert into tab_part
select mod(rownum, 10)
     , lpad('*', 100, '*')
from dual
connect by level <= 1000000;
exec dbms_stats.gather_table_stats(user, 'tab_part')
drop table tab_nopart;
create table tab_nopart
as
select *
from tab_part;
exec dbms_stats.gather_table_stats(user, 'tab_nopart')
-- my _small_table_threshold is 1777 and the partitions
-- have a size of ca. 1600 blocks while the non-partitioned table
-- contains 15360 blocks
-- I have to flush the buffer cache since
-- the direct path access is only used
-- if there are few blocks already in the cache
alter system flush buffer_cache;
-- the execution plans are not really exciting
| Id | Operation           | Name     | Rows | Cost (%CPU)| Time     | Pstart| Pstop |
|   0 | SELECT STATEMENT    |          |     1 | 8089   (0)| 00:00:41 |       |       |
|   1 | SORT AGGREGATE     |          |     1 |            |          |       |       |
|   2 |   PARTITION LIST ALL|          | 1000K| 8089   (0)| 00:00:41 |     1 |    10 |
|   3 |    TABLE ACCESS FULL| TAB_PART | 1000K| 8089   (0)| 00:00:41 |     1 |    10 |
| Id | Operation          | Name       | Rows | Cost (%CPU)| Time     |
|   0 | SELECT STATEMENT   |            |     1 | 7659   (0)| 00:00:39 |
|   1 | SORT AGGREGATE    |            |     1 |            |          |
|   2 |   TABLE ACCESS FULL| TAB_NOPART | 1000K| 7659   (0)| 00:00:39 |
But on my PC the FTS on the non-partitioned table is faster than the FTS on the partitions (1sec to 3 sec.) and v$sesstat shows the reason for this difference:
-- non partitioned table
NAME                                               DIFF
table scan rows gotten                          1000000
file io wait time                                 15313
session logical reads                             15156
physical reads                                    15153
consistent gets direct                            15152
physical reads direct                             15152
DB time                                              95
-- partitioned table
NAME                                               DIFF
file io wait time                               2746493
table scan rows gotten                          1000000
session logical reads                             15558
physical reads                                    15518
physical reads cache prefetch                     15202
DB time                                             295
(maybe my choose of counters is questionable)
So it's possible to get slower access for an FTS on a partitioned table under special conditions.
Regards
Martin

Table cell is longer than 176 cm in smartforms

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