Tree Table icons not getting cleared even after applying the CSS
Hi,
I need to change the tree table expanded and collapsed and the lead node icon.
Leaf node icon is getting changed properly but the remaining two are appled improperly.
In the background the old default image is getting redered and on top of that the newly given image is shown.
These are .css statemets used for changing the icons.
af|treeTable::expanded-icon{content:url(/org/calwin/ui/superweb/image/yellowBlueMarker-minus_trans.gif);
background: none ;}
af|treeTable::collapsed-icon{content:url(/org/calwin/ui/superweb/image/yellowBlueMarker_trans_plus.gif);
background: none}
af|treeTable::leaf-icon{content:url(/org/calwin/ui/superweb/image/blueCircleMarker_trans.gif);
background: none}
Can someone suggest a solution for this.
Thanks,
Praveen.
Hi Frank,
I tried including -tr-inhibit:all;
but it didn't work.
Here's my skin registration tag in trinidaad-skins.xml
<skin>
<id>customSkin.desktop</id>
<family>CustomSkin</family>
<extends>fusion.desktop</extends>
<render-kit-id>org.apache.myfaces.trinidad.desktop</render-kit-id>
<style-sheet-name>org/calwin/ui/superweb/skin/css/customFusion.css</style-sheet-name>
</skin>
Can there be any other reason for not being applied properly.
The images mentioned in the css are properly rendered but in the background
default images are still coming.
Please suggest..
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Index is not getting picked even after providing hint
Hi All
The index pk_sku is not getting picked even after providing the hints when executing the query.Please kindly give me such recommendations.I am providing the information.
select * from
(select /*+ index(s pk_sku) */
to_char(t.dstamp, 'YYYYmmDDHH24MI') as sort_1,
t.client_id as CLIENT_ID ,
t.site_id as SITE_ID,
tz.time_zone_name as TIME_ZONE_NAME ,
t.owner_id as OWNER_ID,
t.sku_id as SKU_ID,
t.reason_id as ADJUST_TYPE,
to_char(t.dstamp+tz.diff/24, 'DD/mm/YYYY HH24:MI') as ADJUST_DATETIME,
t.reference_id as RECEIPT_ID,
t.batch_id as BATCH_ID,
t.update_qty as UPDATE_QTY,
t.lock_code as LOCK_CODE,
s.description as SKU_DESCRIPTION
from mv_inventory_transaction t
JOIN timezone tz ON tz.site_id = t.site_id ,
mv_sku s
where t.sku_id= s.sku_id
and t.client_id=s.client_id
and ( :client is null or :client = t.client_id)
and ( :site is null or t.site_id in (:site))
and ( :owner is null or t.owner_id in (:owner))
and t.code= 'Adjustment'
and (t.dstamp+tz.diff/24) between to_date(:dateFrom, 'DD/mm/yyyy') and to_date(:dateTo,'DD/mm/yyyy')+1
and (:sku is null or t.sku_id in (:sku))
UNION ALL
(select /*+ index(s pk_sku) */
to_char(t.dstamp, 'YYYYmmDDHH24MI') as sort_1,
t.client_id as CLIENT_ID ,
t.site_id as SITE_ID,
tz.time_zone_name as TIME_ZONE_NAME ,
t.owner_id as OWNER_ID,
t.sku_id as SKU_ID,
t.reason_id as ADJUST_TYPE,
to_char(t.dstamp+tz.diff/24, 'DD/mm/YYYY HH24:MI') as ADJUST_DATETIME,
t.reference_id as RECEIPT_ID,
t.batch_id as BATCH_ID,
t.update_qty as UPDATE_QTY,
t.lock_code as LOCK_CODE,
s.description as SKU_DESCRIPTION
from mv_inventory_transaction_arch t
JOIN timezone tz ON tz.site_id = t.site_id,
mv_sku s
where t.sku_id= s.sku_id
and t.client_id=s.client_id
and ( :client is null or :client = t.client_id)
and ( :site is null or t.site_id in (:site))
and ( :owner is null or t.owner_id in (:owner))
and t.code= 'Adjustment'
and (t.dstamp+tz.diff/24) between to_date(:dateFrom, 'DD/mm/yyyy') and to_date(:dateTo,'DD/mm/yyyy')+1
and (:sku is null or t.sku_id in (:sku))
order by sort_1,2,3,4,5
version = Release 10.1.0.5.0
SQL> sho parameter optimizer
NAME TYPE VALUE
optimizer_dynamic_sampling integer 2
optimizer_features_enable string 10.1.0.5
optimizer_index_caching integer 0
optimizer_index_cost_adj integer 100
optimizer_mode string ALL_ROWS
sho parameter db_file_multiblock_count_read
sho parameter cursor_sharing
SQL> sho parameter optimizer
NAME TYPE VALUE
optimizer_dynamic_sampling integer 2
optimizer_features_enable string 10.1.0.5
optimizer_index_caching integer 0
optimizer_index_cost_adj integer 100
optimizer_mode string ALL_ROWS
SQL> sho parameter db_file_multi
NAME TYPE VALUE
db_file_multiblock_read_count integer 16
SQL> sho parameter cursor_sharing
NAME TYPE VALUE
cursor_sharing string EXACTExplain plan
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
| 0 | SELECT STATEMENT | | 56 | 29736 | 345K (1)| 01:09:07 |
| 1 | SORT ORDER BY | | 56 | 29736 | 345K (1)| 01:09:07 |
| 2 | VIEW | | 56 | 29736 | 345K (1)| 01:09:07 |
| 3 | UNION-ALL | | | | | |
| 4 | NESTED LOOPS | | 2 | 984 | 29686 (1)| 00:05:57 |
| 5 | HASH JOIN | | 1 | 326 | 26870 (1)| 00:05:23 |
| 6 | TABLE ACCESS FULL | TIMEZONE | 4 | 88 | 3 (0)| 00:00:01 |
| 7 | VIEW | MV_INVENTORY_TRANSACTION | 25 | 7600 | 26866 (1)| 00:05:23 |
| 8 | UNION-ALL | | | | | |
| 9 | FILTER | | | | | |
| 10 | MAT_VIEW ACCESS BY INDEX ROWID| MV_INVENTORY_TRANSACTION | 1 | 67 | 24327 (1)| 00:04:52 |
| 11 | INDEX RANGE SCAN | IDX_CODE_CLIENTID_690 | 79681 | | 518 (1)| 00:00:07 |
| 12 | FILTER | | | | | |
| 13 | MAT_VIEW ACCESS BY INDEX ROWID| MV_INVENTORY_TRANSACTION | 24 | 2328 | 2539 (1)| 00:00:31 |
| 14 | INDEX RANGE SCAN | IDX_CODE_646 | 9269 | | 46 (0)| 00:00:01 |
| 15 | VIEW | MV_SKU | 37 | 6142 | 2816 (1)| 00:00:34 |
| 16 | UNION-ALL | | | | | |
| 17 | MAT_VIEW ACCESS FULL | MV_SKU | 335K| 10M| 2535 (1)| 00:00:31 |
| 18 | MAT_VIEW ACCESS FULL | MV_SKU | 37839 | 1699K| 280 (1)| 00:00:04 |
| 19 | NESTED LOOPS | | 54 | 26568 | 315K (1)| 01:03:10 |
| 20 | HASH JOIN | | 1 | 326 | 313K (1)| 01:02:37 |
| 21 | TABLE ACCESS FULL | TIMEZONE | 4 | 88 | 3 (0)| 00:00:01 |
| 22 | VIEW | MV_INVENTORY_TRANSACTION_ARCH | 576 | 171K| 313K (1)| 01:02:37 |
| 23 | UNION-ALL | | | | | |
| 24 | FILTER | | | | | |
| 25 | MAT_VIEW ACCESS BY INDEX ROWID| MV_INVENTORY_TRANSACTION_ARCH | 1 | 72 | 19258 (1)| 00:03:52 |
| 26 | INDEX RANGE SCAN | QUI_IDX_INVTRANS_ARC1 | 36016 | | 287 (1)| 00:00:04 |
| 27 | FILTER | | | | | |
| 28 | MAT_VIEW ACCESS BY INDEX ROWID| MV_INVENTORY_TRANSACTION_ARCH | 575 | 55200 | 293K (1)| 00:58:45 |
| 29 | INDEX RANGE SCAN | QUI_IDX_INVTRANS_ARC1 | 367K| | 3466 (1)| 00:00:42 |
| 30 | VIEW | MV_SKU | 37 | 6142 | 2816 (1)| 00:00:34 |
| 31 | UNION-ALL | | | | | |
| 32 | MAT_VIEW ACCESS FULL | MV_SKU | 335K| 10M| 2535 (1)| 00:00:31 |
| 33 | MAT_VIEW ACCESS FULL | MV_SKU | 37839 | 1699K| 280 (1)| 00:00:04 |
------------------------------------------------------------------------------------------------------------------------when put in sql tuning advisor,It recommended with better plan using indexes
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
| 0 | SELECT STATEMENT | | 56 | 29736 | 340K (1)| 01:08:01 |
| 1 | SORT ORDER BY | | 56 | 29736 | 340K (1)| 01:08:01 |
| 2 | VIEW | | 56 | 29736 | 340K (1)| 01:08:01 |
| 3 | UNION-ALL | | | | | |
| 4 | NESTED LOOPS | | 2 | 848 | 26900 (1)| 00:05:23 |
| 5 | HASH JOIN | | 1 | 326 | 26898 (1)| 00:05:23 |
| 6 | TABLE ACCESS FULL | TIMEZONE | 4 | 88 | 3 (0)| 00:00:01 |
| 7 | VIEW | MV_INVENTORY_TRANSACTION | 25 | 7600 | 26894 (1)| 00:05:23 |
| 8 | UNION-ALL | | | | | |
| 9 | FILTER | | | | | |
| 10 | MAT_VIEW ACCESS BY INDEX ROWID| MV_INVENTORY_TRANSACTION | 1 | 67 | 24352 (1)| 00:04:53 |
| 11 | INDEX RANGE SCAN | IDX_CODE_CLIENTID_690 | 79681 | | 518 (1)| 00:00:07 |
| 12 | FILTER | | | | | |
| 13 | MAT_VIEW ACCESS BY INDEX ROWID| MV_INVENTORY_TRANSACTION | 24 | 2328 | 2542 (1)| 00:00:31 |
| 14 | INDEX RANGE SCAN | IDX_CODE_646 | 9269 | | 46 (0)| 00:00:01 |
| 15 | VIEW | MV_SKU | 37 | 3626 | 2 (0)| 00:00:01 |
| 16 | UNION-ALL PARTITION | | | | | |
| 17 | MAT_VIEW ACCESS BY INDEX ROWID | MV_SKU | 1 | 34 | 3 (0)| 00:00:01 |
| 18 | INDEX UNIQUE SCAN | PK_SKU | 1 | | 2 (0)| 00:00:01 |
| 19 | MAT_VIEW ACCESS BY INDEX ROWID | MV_SKU | 1 | 46 | 2 (0)| 00:00:01 |
| 20 | INDEX UNIQUE SCAN | PK_SKU | 1 | | 1 (0)| 00:00:01 |
| 21 | NESTED LOOPS | | 54 | 22896 | 313K (1)| 01:02:38 |
| 22 | HASH JOIN | | 1 | 326 | 313K (1)| 01:02:38 |
| 23 | TABLE ACCESS FULL | TIMEZONE | 4 | 88 | 3 (0)| 00:00:01 |
| 24 | VIEW | MV_INVENTORY_TRANSACTION_ARCH | 576 | 171K| 313K (1)| 01:02:38 |
| 25 | UNION-ALL | | | | | |
| 26 | FILTER | | | | | |
| 27 | MAT_VIEW ACCESS BY INDEX ROWID| MV_INVENTORY_TRANSACTION_ARCH | 1 | 72 | 19269 (1)| 00:03:52 |
| 28 | INDEX RANGE SCAN | QUI_IDX_INVTRANS_ARC1 | 36016 | | 287 (1)| 00:00:04 |
| 29 | FILTER | | | | | |
| 30 | MAT_VIEW ACCESS BY INDEX ROWID| MV_INVENTORY_TRANSACTION_ARCH | 575 | 55200 | 293K (1)| 00:58:47 |
| 31 | INDEX RANGE SCAN | QUI_IDX_INVTRANS_ARC1 | 367K| | 3466 (1)| 00:00:42 |
| 32 | VIEW | MV_SKU | 37 | 3626 | 2 (0)| 00:00:01 |
| 33 | UNION-ALL PARTITION | | | | | |
| 34 | MAT_VIEW ACCESS BY INDEX ROWID | MV_SKU | 1 | 34 | 3 (0)| 00:00:01 |
| 35 | INDEX UNIQUE SCAN | PK_SKU | 1 | | 2 (0)| 00:00:01 |
| 36 | MAT_VIEW ACCESS BY INDEX ROWID | MV_SKU | 1 | 46 | 2 (0)| 00:00:01 |
| 37 | INDEX UNIQUE SCAN | PK_SKU | 1 | | 1 (0)| 00:00:01 |
------------------------------------------------------------------------------------------------------------------------So ,after checking the recommended plan I tried to execute the query with the hints,even then it is picking up the indexes in the explain plan.So please kindly help in solving the issue
The pk_sku is the index created on client_id and sku_id columns
Thanks
GVriedelme wrote:
My experience is differernt - hints will be followed if the optimizer determines they will be beneficial and not if they will not, including my current project on 11gR2. The example below (unfortunately only 11gR1) disproves your theory, showing the index hint is followed and that the cost increases by a factor of five.
The most common cases of the optimizer apparently ignoring a hint are due to operator error, the hint is not well formed, or cannot be followed. There are a couple of documented cases where a hint will be ignored - first_rows used in CTAS is one.
Jonathan Lewis writes a lot about it on his blog showing that the optimizer always acts on a well formed hint if it is at all possible.
SQL> create table t (n number not null, c varchar2(1000));
Table created.
SQL> insert into t select 1, rpad('x',1000,'x')
2 from dual connect by level <= 50000;
50000 rows created.
SQL> create index t_ix on t (n);
Index created.
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PL/SQL procedure successfully completed.
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2 select max(c) from t where n =1;
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SQL> select * from table(dbms_xplan.display);
PLAN_TABLE_OUTPUT
Plan hash value: 2966233522
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| 0 | SELECT STATEMENT | | 1 | 1004 | 1574 (1)| 00:00:19 |
| 1 | SORT AGGREGATE | | 1 | 1004 | | |
|* 2 | TABLE ACCESS FULL| T | 50000 | 47M| 1574 (1)| 00:00:19 |
Predicate Information (identified by operation id):
PLAN_TABLE_OUTPUT
2 - filter("N"=1)
14 rows selected.
SQL> explain plan for
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SQL> select * from table(dbms_xplan.display);
PLAN_TABLE_OUTPUT
Plan hash value: 3231292748
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| 0 | SELECT STATEMENT | | 1 | 1004 | 7244 (1)| 00:01:27 |
| 1 | SORT AGGREGATE | | 1 | 1004 | | |
| 2 | TABLE ACCESS BY INDEX ROWID| T | 50000 | 47M| 7244 (1)| 00:01:27 |
|* 3 | INDEX RANGE SCAN | T_IX | 50000 | | 98 (0)| 00:00:02 |
PLAN_TABLE_OUTPUT
Predicate Information (identified by operation id):
3 - access("N"=1)
15 rows selected. -
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Greetings!
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hi experts,
we work on service contracts.
when a line item is entered, a value( iv_eos_i.) is set Yes/No depending on some custom logic in the line item level
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please find the code
DATA: lt_input_fields TYPE crmt_input_field_names_tab,
ls_customer_i TYPE crmt_customer_i_com,
ls_input_fields TYPE crmt_input_field_names.
*--Fill in CUSTOMER_I
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ls_customer_i-zzew_lg_eos_i = iv_eos_i.
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* ls_input_fields-changeable = gc_x.
INSERT ls_input_fields INTO TABLE lt_input_fields.
CLEAR ls_input_fields.
ls_input_fields-fieldname = gc_eos_date.
INSERT ls_input_fields INTO TABLE lt_input_fields.
CLEAR ls_input_fields.
CALL FUNCTION 'CRM_CUSTOMER_I_MAINTAIN_OW'
EXPORTING
is_customer_i_com = ls_customer_i
* IV_EXTERNAL_CALL = gc_x
CHANGING
ct_input_field_names = lt_input_fields
EXCEPTIONS
item_change_error = 1
item_create_error = 2
error_occurred = 3
OTHERS = 4
IF sy-subrc <> 0.
* MESSAGE ID SY-MSGID TYPE SY-MSGTY NUMBER SY-MSGNO
* WITH SY-MSGV1 SY-MSGV2 SY-MSGV3 SY-MSGV4.
ENDIF.
Thanks,
SangeethaHi sangeetha ml,
Can you please let us know what the client doesnt want?
Only Commit work or any sort of commit FM?
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http://<server>.<domain>:<PORT>/OA_HTML/jsp/fnd/aoljtest.jsp
Failed the following
http://<server>.<domain>:<PORT>/OA_HTML/OA.jsp?OAFunc=OAHOMEPAGE
http://<server>.<domain>:<PORT>
http://<server>.<domain>:<PORT>/OA_MEDIA/FNDLOGOL.gif
http://<server>.<domain>:<PORT>/forms/frmservlet
http://<hostname.domainname>:<port>/OA_HTML/fndvald.jsp?username=sysadmin&password=<sysadmin_password>
Should I paste the log files here.
Thanks
Reddy
Edited by: Reddy on Jun 26, 2011 9:32 PM -
ATP Tree Structure is not getting created automatically after Sales Order is saved
In one one of our scenario, when we add material to Sales Order and save with Requirement Type(under Procurrement Tab of Sales Order) , in APO there is no planned order or only planned order which is dynamically pegged created because the ATP Tree in APO is not being converted. There is no pegging relevant item create(e.g. Planned Order). When we are checking the persistent ATP Trees in APO (/SAPAPO/ATREE_DSP - ATP-Trees) we can see that they are not converted automatically. They are still there. If we do it manually via transaction (/SAPAPO/RRP_ATP2PPDS - Conversion ATP Tree Structures -> Production Planning) it works. Afterwards the Planned Order is available and fixed pegged.
Why is APO not converting the ATP tree automatically ?
I also checked the scheduling horizon for conversion of the ATP Tree and it is correct: Is there any relation with Check Mode setting under ATP tab in Material Master?Hi Prasad ,
This enables you to debug the ATP tree . If you have created an entry here with your user name then it will not let ATP tree get converted into PP/DS orders automatically .
It's very surprising because all seems fine . Just cross check all the settings once with below .
The conversion time depends on the following horizons and dates:
· PP/DS Horizon
· Scheduling horizon for the conversion of ATP tree structures
· Requirements dates in the ATP tree structure
PP/DS immediately converts the ATP tree structure when the sales order is saved
· If the earliest requirements date for components is within the scheduling horizon or
· If the latest requirements date for finished products is within the PP/DS horizon
If none of these conditions are fulfilled when saving the sales order, the system saves the ATP tree structure in SAP APO. In this case you can only convert the ATP tree structure online or in the background when one of the conditions given above is fulfilled. Here, there is an offset for the horizons with which you can achieve an earlier conversion.
You maintain the scheduling horizon for the conversion of ATP tree structures in Customizing for Production Planning and Detailed Scheduling under Maintain Global Parameters and Defaults. You maintain a location product specific PP/DS horizon in the location product master. If no location product specific PP/DS horizon exists, the system uses the PP/DS horizon from the planning version. You maintain these in Model and Planning Version Management.
Love Singh
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