Invalid month sql request for chart

Hi,
i try to refresh a report with a dynamical sql request as following :
select NULL LINK, status_label LABEL, count(fcr.status_code) as VALUE
from table
where table.date > '05/06/2007'
This query is generated dynamicaly from a date picker.
My problem is that the chart witch should be refreshed by this query, isn't.
The following error message come from the ajax query :
chart Flash Chart error: ORA-20987: APEX - Flash Chart error: - ORA-20001: Fetch error: ORA-01843: not a valid month
Something disapoint me: when i execute the query in plSQL i have got my wished results.
Does someone have any idea about this mistake?

Hi better,
Try to give
where table.date >to_date( '05/06/2007','dd/mm/yyyy');Brgds,
Mini
Mark Answers Promptly

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How make a sql query for chart dynamically [I got it solved]

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Message was edited by:
Erwin L

For anybody who wants to do this too
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SQL Query for Chart does not work

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Purchasing: Version : 12.0.0
Copyright (c) 1979, 1999, Oracle Corporation. All rights reserved.
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+---------------------------------------------------------------------------+
Current system time is 26-JUL-2013 09:21:09
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+-----------------------------
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Updating Req Headers
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End of log messages from FND_FILE
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Invalid state in SQL query for a function that was created with no errors.

SQL> CREATE OR REPLACE FUNCTION overlap(in_start1 IN TIMESTAMP, in_end1 IN TIMESTAMP, in_start2 IN TIMESTAMP, in_end2 IN TIMESTAMP) RETURN NUMBER
2 IS
3
4 BEGIN
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9 END IF;
10 END;
11 /
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Marius
Looking at the logic you are trying to create it looks like you are looking for overlapping time periods.
Consider two date/time ranges:
Range 1 : T1 - T2
Range 2 : T3 - T4
Do they overlap?
1) No: T1 < T4 (TRUE) T2 > T3 (FALSE)
T1 --- T2
           T3 --- T4
2) Yes: T1 < T4 (TRUE) T2 > T3 (TRUE)
T1 ---------- T2
           T3 --- T4
3) Yes: T1 < T4 (TRUE) T2 > T3 (TRUE)
T1 -------------------- T2
           T3 --- T4
4) Yes: T1 < T4 (TRUE) T2 > T3 (TRUE)
               T1 ----- T2
           T3 --- T4
5) Yes: T1 < T4 (TRUE) T2 > T3 (TRUE)
           T1 --- T2
       T3 ------------ T4
5) No: T1 < T4 (FALSE) T2 > T3 (TRUE)
                T1 --- T2
       T3 --- T4Answer: Yes they overlap if:
T1 < T4 AND T2 > T3
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Hi All,
Hopefully post to the right forum, if not please do let me know. Thanks
I have one pre-production issue still don't have any clue how to move forward.
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The v$sqlarea information as below, sometime the invalidations can hit more than 10,000
SQL_ID              SQL_TEXT                                                                                        LOADS INVALIDATIONS
0m6dhq90rg82x /* SQL Analyze(632,0) */ insert into "test"."MLOG$_test" select * from "test"."MLOG$_test 7981    7981
{code}
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Regards,
Klng

Hi Dom,
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_optimizer_adaptive_cursor_sharing   boolean     FALSE
_optimizer_extended_cursor_sharing_r string      NONE
el
object_cache_optimal_size            integer     102400
optimizer_capture_sql_plan_baselines boolean     FALSE
optimizer_dynamic_sampling           integer     2
optimizer_features_enable            string      11.2.0.2
optimizer_index_caching              integer     90
optimizer_index_cost_adj             integer     10
optimizer_mode                       string      ALL_ROWS
optimizer_secure_view_merging        boolean     TRUE
optimizer_use_invisible_indexes      boolean     FALSE
optimizer_use_pending_statistics     boolean     FALSE
optimizer_use_sql_plan_baselines     boolean     TRUE
plsql_optimize_level                 integer     2
SQL> select * from dba_sql_plan_baselines;
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Regards,
Klng

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872202 wrote:
Hi
sometimes I get 'Invalid Month error' in SQL developer when I execute the following query
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Help asked for a sql request - thanks

Hello,
I'm not a sql Guru... Who can help for this sql request ?
First I have this:
SELECT ADDINFO_ID, INFO, LANGUAGE_FK, ENGLISH_NAME
FROM V_ADDINFOS
WHERE LANGUAGE_FK = 'EN' (which is very simple...-)
But now complicated... I have to add this in the same request:
select sum(val) as nbrInfo
from(
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union all
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union all
select count(*) val from eccgis where addinfo3_fk = ADDINFO_ID
union all
select count(*) val from thirdgis where addinfo1_fk = ADDINFO_ID
union all
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Hi, Michel,
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+ (select count(*) from eccgis where addinfo3_fk = ADDINFO_ID)
+ (select count(*) from thirdgis where addinfo1_fk = ADDINFO_ID)
+ (select count(*) from thirdgis where addinfo2_fk = ADDINFO_ID)
AS nrbInfo
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I got an iphone from three network Uk, I am planning go to have holidays abroad for one and a half month, I request to my mobile company if they can unlock my iphone to use abroad with another sim , after one week they unlock my mobile.

I got an iphone from three network Uk, I am planning go to have holidays abroad for one and a half month, I request to my mobile company if they can unlock my iphone to use abroad with another sim , after one week they unlock my mobile.and my basic questions , if for any reason someone stole my iphone, they can activate in other country because my iphone is unlocked with the original codes.

Yes.

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Hi,
We have a performance problem. We have 2 systems. PRD and QAS (QAS is a copy of PRD as of September 2nd)
SQL request is identical.
table structures is identical.
indexes are identical.
views are identical
DB stats have all been recalculated on both systems
initSID.ora values are almost identical. only memory related parameters (and SID) are different.
Obviously, data is different
For you info, view ZBW_VIEW_EKPO fetched its info from tables EIKP, LFA1, EKKO and EKPO.
Starting on September 15th, a query that used to take 10 minutes started taking over 120 minutes.
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SQL request:
SELECT
"MANDT" , "EBELN" , "EBELP" , "SAISO" , "SAISJ" , "AEDAT" , "AUREL" , "LOEKZ" , "INCO2" ,
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SELECT STATEMENT ( Estimated Costs = 300,452 , Estimated #Rows = 0 )
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              Filter Predicates
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              ( Estim. Costs = 300,072 , Estim. #Rows = 4,592,525 )
              Estim. CPU-Costs = 9,093,820,218 Estim. IO-Costs = 299,571
              Access Predicates
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                  ( Estim. Costs = 63 , Estim. #Rows = 812 )
                  Estim. CPU-Costs = 7,478,316 Estim. IO-Costs = 63
                  Filter Predicates
                6 HASH JOIN
                  ( Estim. Costs = 299,983 , Estim. #Rows = 4,592,525 )
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                  Access Predicates
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                      ( Estim. Costs = 2,209 , Estim. #Rows = 271,200 )
                      Estim. CPU-Costs = 561,938,609 Estim. IO-Costs = 2,178
                      Filter Predicates
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                      ( Estim. Costs = 290,522 , Estim. #Rows = 4,592,525 )
                      Estim. CPU-Costs = 6,913,020,784 Estim. IO-Costs = 290,141
                        4 INDEX SKIP SCAN EKPO~Z02
                          ( Estim. Costs = 5,144 , Estim. #Rows = 4,592,525 )
                          Search Columns: 2
                          Estim. CPU-Costs = 789,224,817 Estim. IO-Costs = 5,101
                         Access Predicates Filter Predicates
Explain plan for QAS:
SELECT STATEMENT ( Estimated Costs = 263,249 , Estimated #Rows = 13,842,540 )
        7 HASH JOIN
          ( Estim. Costs = 263,249 , Estim. #Rows = 13,842,540 )
          Estim. CPU-Costs = 59,041,893,935 Estim. IO-Costs = 260,190
          Access Predicates
            1 TABLE ACCESS FULL LFA1
              ( Estim. Costs = 63 , Estim. #Rows = 812 )
              Estim. CPU-Costs = 7,478,316 Estim. IO-Costs = 63
              Filter Predicates
            6 HASH JOIN
              ( Estim. Costs = 263,113 , Estim. #Rows = 13,842,540 )
              Estim. CPU-Costs = 57,640,387,953 Estim. IO-Costs = 260,127
              Access Predicates
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                  ( Estim. Costs = 2,127 , Estim. #Rows = 194,660 )
                  Estim. CPU-Costs = 513,706,489 Estim. IO-Costs = 2,100
                  Access Predicates
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                      ( Estim. Costs = 351 , Estim. #Rows = 54,830 )
                      Estim. CPU-Costs = 49,504,995 Estim. IO-Costs = 348
                      Filter Predicates
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                      ( Estim. Costs = 1,534 , Estim. #Rows = 194,660 )
                      Estim. CPU-Costs = 401,526,622 Estim. IO-Costs = 1,513
                      Filter Predicates
                5 TABLE ACCESS FULL EKPO
                  ( Estim. Costs = 255,339 , Estim. #Rows = 3,631,800 )
                  Estim. CPU-Costs = 55,204,047,516 Estim. IO-Costs = 252,479
                  Filter Predicates
One more bit of information, PRD was copied to TST about a month ago and this one is also slow.
I did almost anything I could think of.

> DB stats have all been recalculated on both systems
> initSID.ora values are almost identical. only memory related parameters (and SID) are different.
> Obviously, data is different
Ok, so you say: the parameters are different, the data is different and the statistics are different.
I'm surprised that you still expect the plans to be the same...
> For you info, view ZBW_VIEW_EKPO fetched its info from tables EIKP, LFA1, EKKO and EKPO.
We will need to see the view definition !
> Starting on September 15th, a query that used to take 10 minutes started taking over 120 minutes.
Oh - Sep. 15th - that explains it ... just kiddin'.
Ok, so it appears to be obvious that from that day on, the execution plan for the query was changed.
If you're on Oracle 10g you may look it up again and also recall the CBO stats that had been used back then.
> I compared explain plans on both system and they are really different:
>
> SQL request:
>
SELECT
>   "MANDT" , "EBELN" , "EBELP" , "SAISO" , "SAISJ" , "AEDAT" , "AUREL" , "LOEKZ" , "INCO2" ,
>   "ZZTRANSPORT" , "PRODA" , "ZZPRDHA" , "ZZMEM_DATE" , "KDATE" , "ZZHERKL" , "KNUMV" , "KTOKK"
> FROM
>   "ZBW_VIEW_EKPO"
> WHERE
>   "MANDT" = :A0#
Ok - basically you fetch all rows from this view as MANDT is usually not a selection criteria at all.
> Explain plan for PRD:
>
SELECT STATEMENT ( Estimated Costs = 300,452 , Estimated #Rows = 0 )
>
>         8 HASH JOIN
>           ( Estim. Costs = 300,451 , Estim. #Rows = 4,592,525 )
>           Estim. CPU-Costs = 9,619,870,571 Estim. IO-Costs = 299,921
>           Access Predicates
>
>             1 TABLE ACCESS FULL EIKP
>               ( Estim. Costs = 353 , Estim. #Rows = 54,830 )
>               Estim. CPU-Costs = 49,504,995 Estim. IO-Costs = 350
>               Filter Predicates
>             7 HASH JOIN
>               ( Estim. Costs = 300,072 , Estim. #Rows = 4,592,525 )
>               Estim. CPU-Costs = 9,093,820,218 Estim. IO-Costs = 299,571
>               Access Predicates
>
>                 2 TABLE ACCESS FULL LFA1
>                   ( Estim. Costs = 63 , Estim. #Rows = 812 )
>                   Estim. CPU-Costs = 7,478,316 Estim. IO-Costs = 63
>                   Filter Predicates
>                 6 HASH JOIN
>                   ( Estim. Costs = 299,983 , Estim. #Rows = 4,592,525 )
>                   Estim. CPU-Costs = 8,617,899,244 Estim. IO-Costs = 299,508
>                   Access Predicates
>
>                     3 TABLE ACCESS FULL EKKO
>                       ( Estim. Costs = 2,209 , Estim. #Rows = 271,200 )
>                       Estim. CPU-Costs = 561,938,609 Estim. IO-Costs = 2,178
>                       Filter Predicates
>                     5 TABLE ACCESS BY INDEX ROWID EKPO
>                       ( Estim. Costs = 290,522 , Estim. #Rows = 4,592,525 )
>                       Estim. CPU-Costs = 6,913,020,784 Estim. IO-Costs = 290,141
>
>                         4 INDEX SKIP SCAN EKPO~Z02
>                           ( Estim. Costs = 5,144 , Estim. #Rows = 4,592,525 )
>                           Search Columns: 2
>                           Estim. CPU-Costs = 789,224,817 Estim. IO-Costs = 5,101
>                          Access Predicates Filter Predicates
Ok, we've no restriction to the data, so Oracle chooses the access methods it thinks are best for large volumes of data - Full table scans and HASH JOINS. The index skip scan is quite odd - maybe this is due to one of the join conditions.
> Explain plan for QAS:
>
SELECT STATEMENT ( Estimated Costs = 263,249 , Estimated #Rows = 13,842,540 )
>
>         7 HASH JOIN
>           ( Estim. Costs = 263,249 , Estim. #Rows = 13,842,540 )
>           Estim. CPU-Costs = 59,041,893,935 Estim. IO-Costs = 260,190
>           Access Predicates
>
>             1 TABLE ACCESS FULL LFA1
>               ( Estim. Costs = 63 , Estim. #Rows = 812 )
>               Estim. CPU-Costs = 7,478,316 Estim. IO-Costs = 63
>               Filter Predicates
>             6 HASH JOIN
>               ( Estim. Costs = 263,113 , Estim. #Rows = 13,842,540 )
>               Estim. CPU-Costs = 57,640,387,953 Estim. IO-Costs = 260,127
>               Access Predicates
>
>                 4 HASH JOIN
>                   ( Estim. Costs = 2,127 , Estim. #Rows = 194,660 )
>                   Estim. CPU-Costs = 513,706,489 Estim. IO-Costs = 2,100
>                   Access Predicates
>
>                     2 TABLE ACCESS FULL EIKP
>                       ( Estim. Costs = 351 , Estim. #Rows = 54,830 )
>                       Estim. CPU-Costs = 49,504,995 Estim. IO-Costs = 348
>                       Filter Predicates
>                     3 TABLE ACCESS FULL EKKO
>                       ( Estim. Costs = 1,534 , Estim. #Rows = 194,660 )
>                       Estim. CPU-Costs = 401,526,622 Estim. IO-Costs = 1,513
>                       Filter Predicates
>
>                 5 TABLE ACCESS FULL EKPO
>                   ( Estim. Costs = 255,339 , Estim. #Rows = 3,631,800 )
>                   Estim. CPU-Costs = 55,204,047,516 Estim. IO-Costs = 252,479
>                   Filter Predicates
Ok, we see significantly different table sizes here, but at least this second plan leaves out the superfluous Index Skip Scan.
How to move on from here?
1. Check whether you've installed all the current patches. Not all bugs that are in the system are hit all the time, so it may very well be that after new CBO stats were calculated you just begin to hit one of it.
2. Make sure that all parameter recommendations are implemented on the systems. This is crucial for the CBO.
3. Provide a description of the Indexes and the view definition.
The easiest would be: perform an Oracle CBO trace and provide a download link to it.
regards,
Lars

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