APD using Query with multiple structures as a data source

All,
I want to set up an automatic process which executes a query and exports it to a shared drive as a csv file. I have tried various options , when I try to use APD to set up the extract, I get an error and this is because the query that I am trying to use has Strucutres in both rows and columns. Hence, I am unable to use this option. I tried RSCRM_BAPI, It works well, but there is an issue with scheduling this in Process chain. I created an event and scheduled this as a job to trigger after "event" as per SAP instructions, but the job does not exist and it is not possible to trigger it through the Process chain unless the variables are hard coded in the query which I do not want to do.
Can any one tell me if there is a way to deal with APD using Query with multiple structures?
Would really appreciate if some one can give me the right solution...
Thanks

Hi Tanu ,
APD is an option but its not very good with large amount of data or hiearachies or if you have attributes in you query structure .
One more option for this requirement is use of report program using function module RRW3_GET_QUERY_VIEW_DATA .
This will work fine with multiple structure etc .
There are some overheads with this FM ex: if amount of data is too much then program will give dump .Solution for that is we call the FM in LOOP by diving amount of data need to be fetched .ex: we can read data quarter wise.
For using this function module what you can do is write an ABAP program (At SE38 ) .which will call this FM and then write the output into a flat file which you can save at application server (AL11) .From there other system can read it .
To automate this whole process you can further add all the report programs into a process chain (RSPC) which can be schedule as per requirement .
To pass input parameters you can use variants that will pass the values to the report .
Check thi link for sample code :
[http://www.tricktresor.de/content/index.php?navID=696&aID=496]
Hope this will be helpful .
Regards,
Jaya Tiwari

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[My Writings on TechNet Wiki] [T-SQL Blog] [Curah!]
[Twitter] [Facebook] [Email]

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Albert,
Thanks for your reply and the tips you've given. The tp$_parcel_areas table will always be bigger so I've changed the order to sdo_within_distance(pa.area,po.geometry,'distance=0')='TRUE'. The requested counts for those queries are
12:26:29 [email protected]:SQL> select count(*)
13:46:22 2 from seventy.PARCEL_OVERLAPS;
COUNT(*)
612
13:48:12 [email protected]:SQL> select count(*)
13:48:17 2 from imap_topol.TP$_PARCEL_AREAS pa,
13:48:21 3 TP$_PARCEL_CENTROID_AREA pca
13:48:21 4 where pca.DELETE_DATE IS NULL
13:48:21 5 and pa.DELETE_DATE IS NULL
13:48:21 6 and pa.AREA_ID = pca.AREA_ID;
COUNT(*)
1310665
There was no reason for both filter and within_distance. I did try use the anyinteract but for some reason that does not return the desired results(I've added one id row as a test to make sure it returns desired results). Plus Oracle have recomended using the within distance for better performance..
so the explan plan for
14:38:37 [email protected]:SQL> EXPLAIN PLAN FOR
14:38:50 2 SELECT lu.LNU_PARCEL_ID
14:38:50 3 FROM
14:38:50 4 seventy.PARCEL_OVERLAPS po,
14:38:50 5 imap_topol.TP$_PARCEL_AREAS pa,
14:38:50 6 TP$_PARCEL_CENTROID_AREA pca,
14:38:50 7 TDCR_LAND_UNIT lu
14:38:50 8 WHERE
14:38:50 9 sdo_within_distance(pa.area,po.geometry,'distance=0')='TRUE' and
14:38:50 10 pa.delete_date is null and
14:38:50 11 Lu.LNU_LAND_UNIT_UNIQUE_NUM = pca.CENTROID_ID and
14:38:50 12 pa.AREA_ID = pca.AREA_ID and
14:38:50 13 pca.DELETE_DATE IS NULL and
14:38:50 14 pa.DELETE_DATE IS NULL;
is
Plan Table
| Operation | Name | Rows | Bytes| Cost | Pstart| Pstop |
| SELECT STATEMENT | | 4G|32920G| 547M| | |
| NESTED LOOPS | | 4G|32920G| 547M| | |
| MERGE JOIN | | 547M| 2029G| 230124 | | |
| SORT JOIN | | 1M| 36M| 85014 | | |
| MERGE JOIN | | 1M| 36M| 50019 | | |
| SORT JOIN | | 1M| 17M| 21650 | | |
| TABLE ACCESS FULL |TP$_PARCE | 1M| 17M| 485 | | |
| SORT JOIN | | 1M| 22M| 28369 | | |
| TABLE ACCESS FULL |TDCR_LAND | 1M| 22M| 2127 | | |
| SORT JOIN | | 42K| 160M| 145111 | | |
| TABLE ACCESS FULL |TP$_PARCE | 42K| 160M| 12697 | | |
| TABLE ACCESS FULL |PARCEL_OV | 817 | 3M| 1 | | |
14:43:14 [email protected]:SQL> explain plan for
14:43:23 2 SELECT pa.AREA_ID
14:43:23 3 FROM seventy.PARCEL_OVERLAPS po,
14:43:23 4 imap_topol.TP$_PARCEL_AREAS pa
14:43:23 5 WHERE SDO_RELATE(po.geometry, pa.area,'mask=ANTINTERACT querytype=WINDOW') = 'TRUE'
14:43:23 6 and pa.DELETE_DATE IS NULL;
Plan Table
| Operation | Name | Rows | Bytes| Cost | Pstart| Pstop |
| SELECT STATEMENT | | 6M| 50G| 10M| | |
| NESTED LOOPS | | 6M| 50G| 10M| | |
| TABLE ACCESS FULL |PARCEL_OV | 817 | 3M| 1 | | |
| TABLE ACCESS FULL |TP$_PARCE | 850K| 3G| 12697 | | |
14:45:03 [email protected]:SQL> explain plan for
14:45:04 2 SELECT pa.AREA_ID
14:45:05 3 FROM seventy.PARCEL_OVERLAPS po,
14:45:05 4 imap_topol.TP$_PARCEL_AREAS pa
14:45:05 5 WHERE SDO_RELATE(pa.area, po.geometry,'mask=ANTINTERACT querytype=WINDOW') = 'TRUE'
14:45:05 6 and pa.DELETE_DATE IS NULL;
Plan Table
| Operation | Name | Rows | Bytes| Cost | Pstart| Pstop |
| SELECT STATEMENT | | 6M| 50G| 863554 | | |
| NESTED LOOPS | | 6M| 50G| 863554 | | |
| TABLE ACCESS FULL |TP$_PARCE | 850K| 3G| 12697 | | |
| TABLE ACCESS FULL |PARCEL_OV | 817 | 3M| 1 | | |
--------------------------------------------------------------------------------

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