Inserting Comments into Universe SELECT and WHERE clauses

I am converting an application from Crystal Reports to Business Objects. In conjunction with that, I am (manually) converting our Business View to a Universe. In Crystal we frequently documented our formulas using the Crystal Syntax "//...". Out of habit, I tried using the same syntax in the Universe... that didn't work. And poring through the Universe Designer's Guide and reviewing these forums didn't turn up anything either. Anyone else know how to do this? If it matters, we're reporting against an Oracle database.

Hi Scott,
if we are talking about plain SQL from ORACLE it's one of the inline comment characters (as /.../ )
documented in the Oracle manual.
see:
select 1 from dual /* my test */
union /* additional comments here
and here
and here
-- and here
select 2 from dual
BO may cover information in it's database specific documentation
bye
yukonkid

Similar Messages

Avoid repeating same logic in 'select' and 'where' clauses?

I'll preface by saying I'm self-taught and have only been fiddling with SQL for a couple of months, so forgive me if this is a dumb question. I have a query written to pull out customers who are configured to have their products stored at the wrong warehouse, according to the first 3 digits of the zip code. Here is an extremely simplified version of a query I'm trying to run:
select custno, custbuy_zip_cd, custbuy_prim_ship_loc_cd as Warehouse,
case when substr(custbuy_zip_cd,1,3) in ('839','848') then '20'
when substr(custbuy_zip_cd,1,3) in ('590','591') then '33'
end as StdWhse
from customers
where case when substr(custbuy_zip_cd,1,3) in ('839','848') then '20'
when substr(custbuy_zip_cd,1,3) in ('590','591') then '33'
end <> custbuy_prim_ship_loc_cd
or (case when substr(custbuy_zip_cd,1,3) in ('839','848') then '20'
when substr(custbuy_zip_cd,1,3) in ('590','591') then '33'
end is not null and custbuy_prim_ship_loc_cd is null)
Now, the query works, but it seems overly convoluted and feels like there must be a way to make it simpler and faster. I'm using the same 'case when' 3 times. Originally, I had thought I could use the aliases from the 'select' clause in the 'where' clause, which would simplify things:
select custno, custbuy_prim_ship_loc_cd as Warehouse,
case when substr(custbuy_zip_cd,1,3) in ('839','848') then '20'
when substr(custbuy_zip_cd,1,3) in ('590','591') then '33'
end as StdWhse
from customers
where StdWhse <> custbuy_prim_ship_loc_cd
or (StdWhse is not null and custbuy_prim_ship_loc_cd is null)
I then found out that that caused 'invalid identifier' errors. My first attempt at a solution was to use a subquery in the 'from' clause, but that ran the 'case when' on every single customer instead of the small subset, so it wound up taking much longer even though it looked neater. Any tips on how to clean up that first query to make it run faster?
this is Oracle 11i, I believe. As a side note, I don't have write access to the database.

Thanks for all the tips so far - still going through them. You all respond fast! Sorry about using double angle brackets for != and not using code tags, I'll make sure to format my posts properly going forward. I think the double angle brackets messed up the appearance of my original queries a little. Here's how I probably should have pasted my first query in my first post:
select custno, custbuy_zip_cd, custbuy_prim_ship_loc_cd as Warehouse,
    case when substr(custbuy_zip_cd,1,3) in ('839','848') then '20'
        when substr(custbuy_zip_cd,1,3) in ('590','591') then '33'
    end as StdWhse
from customers
where case when substr(custbuy_zip_cd,1,3) in ('839','848') then '20'
        when substr(custbuy_zip_cd,1,3) in ('590','591') then '33'
    end != custbuy_prim_ship_loc_cd
    or (case when substr(custbuy_zip_cd,1,3) in ('839','848') then '20'
        when substr(custbuy_zip_cd,1,3) in ('590','591') then '33'
    end is not null and custbuy_prim_ship_loc_cd is null)The almost unanimous opinion seems to be that I should use a subquery in one way or another, but the problem remains that the only significant logic to narrow down the results is the logic that matches the 'case when' results (which are what the warehouse number should be, based on the zip code) to the current warehouse number. Therefore, it seems like any subquery is going to return my entire list of 600k customers, and take a much longer time than my original (messy) query. At least it has in the test runs I created based on
Satyaki's and Peter's examples. The query based on my original example takes about 2.5 minutes, and the subquery examples take about 5+ even though they look cleaner.
to clarify what the query is trying to accomplish, I want it to pull any records where the warehouse number does not equal the correct warehouse number based on zip code (or if the warehouse number is null when it shouldn't be).
I'll try to create some sample data and sample results. Customers table:
custno   custbuy_zip_cd custbuy_prim_ship_loc_cd
1        59024           20
2        59024           33desired results:
custno   custbuy_zip_cd   warehouse   StdWhse
1        59024            20          33If I could create a table to hold the standard warehouses to join on, the whole thing would be much easier. The full version of the query really has hundreds of zip code prefixes and 5 different warehouses and each account has 4 alternate warehouses as well. However, I'm stuck with read only access so everything has to go right in the query. It wouldn't be the end of the world to just stick with my original query since it's not like it takes hours, and I'll only be running it weekly. I just wanted to make sure there wasn't some other solution that wasn't just cleaner but was also faster.

Select and where clause

Hi
I want to write a select statement and in where condition
1.I want to retrieve the fields which contains a string 'ABAP'
2.I want to retreive the fields which is equal to space.
eg;
SELECT FLD1 FLD2 FLD3 FROM TABLE1 WHERE
WHERE
fld1 contains string 'ABAP'
and fld2 is equal to space.

Hi
Yes you can, but you should use the language in the selection on MAKT:
SELECT MARA~MATNR
MAKT~MAKTX
MCH1~CHARG
MCH1~VFDAT INTO CORRESPONDING FIELDS OF TABLE GT_MATERIALS
FROM MARA
INNER JOIN MAKT
ON MARAMATNR = MAKTMATNR
INNER JOIN MCH1
ON MAKTMATNR = MCH1MATNR
INNER JOIN MVKE
ON MVKEMATNR = MAKTMATNR
WHERE MARA~MTART = 'ZDRU'
AND MARA~LVORM = SPACE
<b> AND MAKT~MAKTG LIKE '%DISCONTINUE%'
AND MAKT~SPRAS = SY-LANGU "or EN</b>
AND MVKE~VKORG = 'PUSA'
AND MVKE~VTWEG = 'SPART'
AND MVKE~MVGR4 = 92
AND MCH1~CHARG IN S_CHARG.
Max

Error while using REMAP_TABLE and WHERE clause together in IMPDP

I am trying to move some records from a very large table to another small table.
I am facing trouble while using REMAP_TABLE and WHERE clause together in IMPDP.
Problem is data filter is not getting applied and all records are getting imported.
here is how I have simulated this. please advice.
CREATE TABLE TSHARRHB.TMP1
A NUMBER,
B NUMBER
begin
Insert into TSHARRHB.TMP1
   (A, B)
Values
   (1, 1);
Insert into TSHARRHB.TMP1
   (A, B)
Values
   (2, 2);
COMMIT;
end;
expdp system/password TABLES=tsharrhb.TMP1 DIRECTORY=GRDP_EXP_DIR DUMPFILE=TMP1.dmp REUSE_DUMPFILES=YES LOGFILE=EXP.log PARALLEL=8
impdp system/password DIRECTORY=GRDP_EXP_DIR DUMPFILE=TMP1.dmp LOGFILE=imp.log PARALLEL=8 QUERY='TSHARRHB.TMP1:"WHERE TMP1.A = 2"' REMAP_TABLE=TSHARRHB.TMP1:TMP3 CONTENT=DATA_ONLY
Import: Release 11.2.0.1.0 - Production on Fri Dec 13 05:13:30 2013
Copyright (c) 1982, 2009, Oracle and/or its affiliates. All rights reserved.
Connected to: Oracle Database 11g Enterprise Edition Release 11.2.0.3.0 - 64bit Production
With the Partitioning, Automatic Storage Management, OLAP, Data Mining
and Real Application Testing options
Master table "SYSTEM"."SYS_IMPORT_FULL_01" successfully loaded/unloaded
Starting "SYSTEM"."SYS_IMPORT_FULL_01": system/********@GRD6.RBSG DIRECTORY=GRDP_EXP_DIR DUMPFILE=TMP1.dmp LOGFILE=SSD_93_TABLES_FULL_EXP.log PARALLEL=8 QUERY=TSHARRHB.TMP1:"WHERE TMP1.A = 2" REMAP_TABLE=TSHARRHB.TMP1:TMP3 CONTENT=DATA_ONLY
Processing object type TABLE_EXPORT/TABLE/TABLE_DATA
. . imported "TSHARRHB"."TMP3"                           5.421 KB       2 rows
Job "SYSTEM"."SYS_IMPORT_FULL_01" successfully completed at 05:13:33
here I am expecting only 1 record to get imported but both the records are getting imported. please advice.

The strange thing compared to your output is that I get an error when I have table prefix in the query block:
Connected to: Oracle Database 11g Enterprise Edition Release 11.2.0.4.0 - 64bit Production
With the Partitioning, OLAP, Data Mining and Real Application Testing options
Master table "SYSTEM"."SYS_IMPORT_FULL_01" successfully loaded/unloaded
Starting "SYSTEM"."SYS_IMPORT_FULL_01": system/******** DUMPFILE=TMP1.dmp LOGFILE=imp.log PARALLEL=8 QUERY=SYSADM.TMP1:"WHERE TMP1.A = 2" REMAP_TABLE=SYSADM.TMP1:TMP3 CONTENT=DATA_ONLY
Processing object type TABLE_EXPORT/TABLE/TABLE_DATA
ORA-31693: Table data object "SYSADM"."TMP3" failed to load/unload and is being skipped due to error:
ORA-38500: Unsupported operation: Oracle XML DB not present
Job "SYSTEM"."SYS_IMPORT_FULL_01" completed with 1 error(s) at Fri Dec 13 10:39:11 2013 elapsed 0 00:00:03
And if I remove it, it works:
Connected to: Oracle Database 11g Enterprise Edition Release 11.2.0.4.0 - 64bit Production
With the Partitioning, OLAP, Data Mining and Real Application Testing options
Master table "SYSTEM"."SYS_IMPORT_FULL_01" successfully loaded/unloaded
Starting "SYSTEM"."SYS_IMPORT_FULL_01": system/******** DUMPFILE=TMP1.dmp LOGFILE=imp.log PARALLEL=8 QUERY=SYSADM.TMP1:"WHERE A = 2" REMAP_TABLE=SYSADM.TMP1:TMP3 CONTENT=DATA_ONLY
Processing object type TABLE_EXPORT/TABLE/TABLE_DATA
. . imported "SYSADM"."TMP3"                             5.406 KB       1 out of 2 rows
Job "SYSTEM"."SYS_IMPORT_FULL_01" successfully completed at Fri Dec 13 10:36:50 2013 elapsed 0 00:00:01
Nicolas.
PS: as you can see, I'm on 11.2.0.4, I do not have 11.2.0.1 that you seem to use.

Can I insert comments into RTF Templates?

I'm using Oracle XML Publisher Template Builder for Word, Version 5.6 Build 45.
The RTF template I'm working on has grown to be quite complex, and I would like to include some documentation on the template, so that other people who might pick up the work after me know what was happening.
Is there any way to insert comments into the template, in the same way as is possible for e.g. in SQL? I tried to insert a Word Comment, but that generates errors.
I suppose the alternative is to document logic decisions etc. in a separate document.
Thanks

Hi,
You can use the following xsl tag
<xsl:comment>This is a comment!</xsl:comment>
Sandesh

Is there a way to insert comments into numbers on an ipad, or an alternative?

Is there a way to insert comments into numbers on an ipad, or an alternative?

If you mean in the iBooks app - tap on Collections in the upper left corner. Then tap New. Name the collection. Tap Done. Then tap the Edit button in the upper right. Tap on the books that you want to move to select them. Tap Move in the upper let corner. Select the newly created collection.

Qualifying Expression and WHERE CLAUSE Extension

I would like to know the exact difference between 'Qualifying Expression and WHERE CLAUSE Extension'. Since both are meant to contain some CONDITION that would facilitate the Edit Check's success, So I am sometimes a bit confused with these too as to when to use what.
Can someone help Please??

As you can tell from my previous posts (requests!) - I'm a newbie to OC.
From the documentation - it appears that both Qualifying expression and Where Clause work the same way but the way they execute is different.
Qualifying expression is applied after the fetch (key fields and question response data from DCM cursor i.e., after the cursor fetches the data) and Where clause filters before QG fetch.
HTH

When I insert sim into iPhone 3G and network setting I set Enable 3G off

when I insert sim into iPhone 3G and network setting I set Enable 3G off so my own iPhone 3G has no service

what?

Difference of 'Specify Fragmentation Content' and 'where clause Filter ' ?

What is the difference of ‘Specify Fragmentation Content’ and ‘where clause Filter ‘
As per my understanding Both looks like limit the data ?

'Specify Fragmentation Content’ is for Union-ing tables, e.g. one table has data for 2008 while other has 2005-2007, so 'Specify Fragmentation Content’ tells server where to go look for data.
'Where clause Filter' is for limiting data from the table, e.g. where status = 'Funded'

Tuning Select Statement . field sequence and where clause

Hi All
Are there any general guidelines how to write select < field sequence >where clause < field sequence ? Is that shuld be in order of the field sequence in tables?
And how to use this when we have a view or a inner - join . Is that separate from normal select statement that is using FOR ALL ENTRIES.
Please let me know any general guidelines available on this,
Amol

Hello Amol,
I have another hint:
The statement FOR ALL ENTRIES will package the select statements for every five entries in the internal table. So in comparison to the following code sequence...
LOOP AT itab.
   SELECT * FROM table WHERE key = itab-key.
ENDLOOP
the number of select statements is reduced to 20% with
SELECT * FROM table INTO TABLE ...
     FOR ALL ENTRIES IN itab
     WHERE key = itab-key
If I'm expecting a <i>huge</i> amount of data a go a step further and create my own packages by building a range table with around 100-500 entries and execute a select there...
LOOP AT itab.
   IF counter < 500.
      APPEND itab-key TO range-tab.   " just code example
   ENDIF.
   IF count >= 500.
      SELECT * FROM table APPENDING TABLE ...
         WHERE key IN range_tab
   ENDIF.
   " adjust and calculate counter
ENDLOOP.
* Don't forget last select statement after loop
Best wishes,
Florin

Slow split table export (R3load and WHERE clause)

For our split table exports, we used custom coded WHERE clauses. (Basically adding additional columns to the R3ta default column to take advantage of existing indexes).
The results have been good so far. Full tablescans have been eliminated and export times have gone down, in some cases, tables export times have improved by 50%.
However, our biggest table, CE1OC01 (120 GB), continues to be a bottleneck. Initially, after using the new WHERE clause, it looked like performance gains were dramatic, with export times for the first 5 packages dropping from 25-30 hours down to 1 1/2 hours.
However, after 2 hours, the remaining CE1OC01 split packages have shown no improvement. This is very odd because we are trying to determine why part of the table exports very fast, but other parts are running very slow.
Before the custom WHERE clauses, the export server had run into issues with SORTHEAP being exhausted, so we thought that might be the culprit. But that does not seem to be an issue now, since the improved WHERE clauses have reduced or eliminated excessive sorting.
I checked the access path of all the CE1OC01 packages, through EXPLAIN, and they all access the same index to return results. The execution time in EXPLAIN returns similar times for each of the packages:
CE1OC01-11: select * from CE1OC01 WHERE MANDT='212'
AND ("BELNR" > '0124727994') AND ("BELNR" <= '0131810250')
CE1OC01-19: select * from CE1OC01 WHERE MANDT='212'
AND ("BELNR" > '0181387534') AND ("BELNR" <= '0188469413')
      0 SELECT STATEMENT ( Estimated Costs = 8.448E+06 [timerons] )
|
---      1 RETURN
      |
      ---      2 FETCH CE1OC01
          |
          ------   3 IXSCAN CE1OC01~4 #key columns: 2
query execution time [millisec]            |       333
uow elapsed time [microsec]                |   429,907
total user CPU time [microsec]             |         0
total system cpu time [microsec]           |         0
Both queries utilize an index that has fields MANDT and BELNR. However, during R3load, CE1OC01-19 finishes in an hour and a half, whereas CE1OC01-11 can take 25-30 hours.
I am wondering if there is anything else to check on the DB2 access path side of things or if I need to start digging deeper into other aggregate load/infrastructure issues. Other tables don't seem to exhibit this behavior. There is some discrepancy between other tables' run times (for example, 2-4 hours), but those are not as dramatic as this particular table.
Another idea to test is to try and export only 5 parts of the table at a time, perhaps there is a throughput or logical limitation when all 20 of the exports are running at the same time. Or create a single column index on BELNR (default R3ta column) and see if that shows any improvement.
Anyone have any ideas on why some of the table moves fast but the rest of it moves slow?
We also notice that the "fast" parts of the table are at the very end of the table. We are wondering if perhaps the index is less fragmented in that range, a REORG or recreation of the index may do this table some good. We were hoping to squeeze as many improvements out of our export process as possible before running a full REORG on the database. This particular index (there are 5 indexes on this table) has a Cluster Ratio of 54%, so, perhaps for purposes of the export, it may make sense to REORG the table and cluster it around this particular index. By contrast, the primary key index has a Cluster Ratio of 86%.
Here is the output from our current run. The "slow" parts of the table have not completed, but they average a throughput of 0.18 MB/min, versus the "fast" parts, which average 5 MB/min, a pretty dramatic difference.
package     time      start date        end date          size MB MB/min
CE1OC01-16 10:20:37 2008-11-25 20:47 2008-11-26 07:08   417.62    0.67
CE1OC01-18   1:26:58 2008-11-25 20:47 2008-11-25 22:14   429.41    4.94
CE1OC01-17   1:26:04 2008-11-25 20:47 2008-11-25 22:13   416.38    4.84
CE1OC01-19   1:24:46 2008-11-25 20:47 2008-11-25 22:12   437.98    5.17
CE1OC01-20   1:20:51 2008-11-25 20:48 2008-11-25 22:09   435.87    5.39
CE1OC01-1    0:00:00 2008-11-25 20:48                       0.00
CE1OC01-10   0:00:00 2008-11-25 20:48                     152.25
CE1OC01-11   0:00:00 2008-11-25 20:48                     143.55
CE1OC01-12   0:00:00 2008-11-25 20:48                     145.11
CE1OC01-13   0:00:00 2008-11-25 20:48                     146.92
CE1OC01-14   0:00:00 2008-11-25 20:48                     140.00
CE1OC01-15   0:00:00 2008-11-25 20:48                     145.52
CE1OC01-2    0:00:00 2008-11-25 20:48                     184.33
CE1OC01-3    0:00:00 2008-11-25 20:48                     183.34
CE1OC01-4    0:00:00 2008-11-25 20:48                     158.62
CE1OC01-5    0:00:00 2008-11-25 20:48                     157.09
CE1OC01-6    0:00:00 2008-11-25 20:48                     150.41
CE1OC01-7    0:00:00 2008-11-25 20:48                     175.29
CE1OC01-8    0:00:00 2008-11-25 20:48                     150.55
CE1OC01-9    0:00:00 2008-11-25 20:48                     154.84

Hi all, thanks for the quick and extremely helpful answers.
Beck,
Thanks for the health check. We are exporting the entire table in parallel, so all the exports begin at the same time. Regarding the SORTHEAP, we initially thought that might be our problem, because we were running out of SORTHEAP on the source database server. Looks like for this run, and the previous run, SORTHEAP has remained available and has not overrun. That's what was so confusing, because this looked like a buffer overrun.
Ralph,
The WHERE technique you provided worked perfectly. Our export times have improved dramatically by switching to the forced full tablescan. Being always trained to eliminate full tablescans, it seems counterintuitive at first, but, given the nature of the export query, combined with the unsorted export, it now makes total sense why the tablescan works so much better.
Looks like you were right, in this case, the index adds too much additional overhead, and especially since our Cluster Ratio was terrible (in the 50% range), so the index was definitely working against us, by bouncing all over the place to pull the data out.
We're going to look at some of our other long running tables and see if this technique improves runtimes on them as well.
Thanks so much, that helped us out tremendously. We will verify the data from source to target matches up 1 for 1 by running a consistency check.
Look at the throughput difference between the previous run and the current run:
package     time       start date        end date          size MB MB/min
CE1OC01-11   40:14:47 2008-11-20 19:43 2008-11-22 11:58   437.27    0.18
CE1OC01-14   39:59:51 2008-11-20 19:43 2008-11-22 11:43   427.60    0.18
CE1OC01-12   39:58:37 2008-11-20 19:43 2008-11-22 11:42   430.66    0.18
CE1OC01-13   39:51:27 2008-11-20 19:43 2008-11-22 11:35   421.09    0.18
CE1OC01-15   39:49:50 2008-11-20 19:43 2008-11-22 11:33   426.54    0.18
CE1OC01-10   39:33:57 2008-11-20 19:43 2008-11-22 11:17   429.44    0.18
CE1OC01-8    39:27:58 2008-11-20 19:43 2008-11-22 11:11   417.62    0.18
CE1OC01-6    39:02:18 2008-11-20 19:43 2008-11-22 10:45   416.35    0.18
CE1OC01-5    38:53:09 2008-11-20 19:43 2008-11-22 10:36   413.29    0.18
CE1OC01-4    38:52:34 2008-11-20 19:43 2008-11-22 10:36   424.06    0.18
CE1OC01-9    38:48:09 2008-11-20 19:43 2008-11-22 10:31   416.89    0.18
CE1OC01-3    38:21:51 2008-11-20 19:43 2008-11-22 10:05   428.16    0.19
CE1OC01-2    36:02:27 2008-11-20 19:43 2008-11-22 07:46   409.05    0.19
CE1OC01-7    33:35:42 2008-11-20 19:43 2008-11-22 05:19   414.24    0.21
CE1OC01-16    9:33:14 2008-11-20 19:43 2008-11-21 05:16   417.62    0.73
CE1OC01-17    1:20:01 2008-11-20 19:43 2008-11-20 21:03   416.38    5.20
CE1OC01-18    1:19:29 2008-11-20 19:43 2008-11-20 21:03   429.41    5.40
CE1OC01-19    1:16:13 2008-11-20 19:44 2008-11-20 21:00   437.98    5.75
CE1OC01-20    1:14:06 2008-11-20 19:49 2008-11-20 21:03   435.87    5.88
PLPO          0:52:14 2008-11-20 19:43 2008-11-20 20:35    92.70    1.77
BCST_SR       0:05:12 2008-11-20 19:43 2008-11-20 19:48    29.39    5.65
CE1OC01-1     0:00:00 2008-11-20 19:43                       0.00
            558:13:06 2008-11-20 19:43 2008-11-22 11:58 8171.62
package     time      start date        end date          size MB   MB/min
CE1OC01-9    9:11:58 2008-12-01 20:14 2008-12-02 05:26   1172.12    2.12
CE1OC01-5    9:11:48 2008-12-01 20:14 2008-12-02 05:25   1174.64    2.13
CE1OC01-4    9:11:32 2008-12-01 20:14 2008-12-02 05:25   1174.51    2.13
CE1OC01-8    9:09:24 2008-12-01 20:14 2008-12-02 05:23   1172.49    2.13
CE1OC01-1    9:05:55 2008-12-01 20:14 2008-12-02 05:20   1188.43    2.18
CE1OC01-2    9:00:47 2008-12-01 20:14 2008-12-02 05:14   1184.52    2.19
CE1OC01-7    8:54:06 2008-12-01 20:14 2008-12-02 05:08   1173.23    2.20
CE1OC01-3    8:52:22 2008-12-01 20:14 2008-12-02 05:06   1179.91    2.22
CE1OC01-10   8:45:09 2008-12-01 20:14 2008-12-02 04:59   1171.90    2.23
CE1OC01-6    8:28:10 2008-12-01 20:14 2008-12-02 04:42   1172.46    2.31
PLPO         0:25:16 2008-12-01 20:14 2008-12-01 20:39     92.70    3.67
            90:16:27 2008-12-01 20:14 2008-12-02 05:26 11856.91

Bulk collect into using vector in where clause

Hi,
I have a java stored procedure which takes an array as input and returns an array as output.
I want to select a column in to a collection of array, using array as the select criteria.
For example
create or replace type My_list as table of varchar(20);
create or replace type outarray as table of BLOB;
create or replace function myfunction ( inputlist My_list)
return outarray
AS
o_data := outarray();
BEGIN
SELECT mycolumn from mytable BULK COLLECT INTO o_data where my_creteria=inputlist
retrun o_data;
END;
Unless I use FORALL I can not retrieve the inputlist values. I am not sure how I can use the bulk collect and forall in the same statement?
My data is arranged such that , for each value in the inputlist one row will be fetched. I want to fetch all these rows at one go using the inputlist as select criteria,
I can use the for i in inputlist.first .. inputlist.LAST and iterate the inputlist but that process is quite expensive interms of the latency.
You help in optimizing my query would be highly appreciated.
Regards,
Syam

That only leaves ugly solutions, like:
<ul>
<li>Using dynamic SQL to create a temporary table, doing a bulk insert of the incoming array and then reading the table values using a subquery with the IN opeartor.</li>
<li>Building a dyanmic list, like ('value1','value2', ..) and use it with the IN operator, this is a variable list and requires DBMS_SQL package.</li>
<li>Ignore the bulk operations. :-(</li>
</ul>

Using Filter and where clause in GoldenGate

Hi,
I need to use where clause in extract process.
The condition i need to use is :- where (CODE LIKE '10%' OR CODE LIKE '0%')
how to use LIKE operation along with OR in extract.
I have multiple where conditions these are straight i.e = and <> which are working fine. But LIKE is not working.
Please do assist for the same.
Thanks.

GoldenGate uses FILTER and SQLPREDICATE (and COMPUTE is a variation that can work, depending on how you are trying to manipulate the data).
To filter data, you can use:
● A FILTER or WHERE clause in a TABLE statement (Extract) or in a MAP statement (Replicat).
● A SQL query or procedure
● User exits
FILTER comparison operators include:
Comparison operators:
> (greater than)
>= (greater than or equal)
< (less than)
<= (less than or equal)
= (equal)
<> (not equal)
WHERE clause permissible operators:
Column names PRODUCT_AMT
Numeric values -123, 5500.123
Literal strings "AUTO", "Ca"
Built-in column tests @NULL, @PRESENT, @ABSENT (column is null, present or absent in the row). These tests are built into Oracle GoldenGate. See “Considerations for selecting rows with FILTER and WHERE” on page 155.
Comparison operators =, <>, >, <, >=, <=
Conjunctive operators AND, OR
Grouping parentheses Use open and close parentheses ( ) for logical grouping of multiple elements.
You could try using a GoldenGate string function. You know what the leading one or two characters (0 and 10) are.
Use the @STREXT function to extract a portion of a string and do a comparison there. Or take care of it using SQLEXEC on replicat (call a function to be able to use LIKE).

Function results in SELECT and WHERE

Is there a way to avoid calling a function twice in order to have its results appear in the SELECT clause and used in the WHERE clause?
This SELECT statement will not work (as promised by documents):
select name, getLocation(name) as location
where location is not null
The only way to avoid it that I can see is to wrap this into another select with the additional criteria:
select * from ( select name, getLocation(name) as location )
where location is not null
Any alternatives?
Thanks.
--Peter

The nested select statements are much quicker than even doing a count(*) in the select and using the function call in the where clause. It appears that a function call in the where clause is expensive. The function involves selects from the same table and others, and joins but no updates, deletes, etc.
select count(*) from ... where location(...) is null
takes > 6 min. !
select count(*) from (select location(...) ) where location is null takes < 10 sec. !

Function/Subrutine and where clause

Hi,
Is it possible to define a subroutine.function and use it in the SQL where clause in ABAP??
If so, any reference code??
Regards,
Kit

Hi Kit,
It is not possible to define a subroutine.function and use it in the SQL where clause in ABAP.
But you can use dynamic where clause. Try F1 on select.
Example
Display of flight connections after input of airline and flight number:
PARAMETERS: carr_id TYPE spfli-carrid,
            conn_id TYPE spfli-connid.
DATA:       where_clause TYPE STRING,
            and(4),
            wa_spfli TYPE spfli.
IF carr_id IS NOT INITIAL.
CONCATENATE 'CARRID = ''' carr_id '''' INTO where_clause.
and = ' AND'.
ENDIF.
IF conn_id IS NOT INITIAL.
CONCATENATE where_clause and ' CONNID = ''' conn_id ''''
    INTO where_clause.
ENDIF.
SELECT * FROM spfli INTO wa_spfli WHERE (where_clause).
WRITE: / wa_spfli-carrid, wa_spfli-connid, wa_spfli-cityfrom,
           wa_spfli-cityto, wa_spfli-deptime.
ENDSELECT.
Regards,
Clemens

Inserting Comments into Universe SELECT and WHERE clauses

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