WHY HANA VIEW ARE GIVING BAD PERFORMANCE IN DASHBOARD THEN TABLE

Dear Experts ,
I have created a dashboard on top of HANA view.
Scenario 1
HANA view is taking 3 seconds to fetch data in HANA studio .
When we create dashboard on that view, the dashboard is taking around 50sec.
Report has around 10 queries.
Scenario 2
Then we insert data into a table from same above view .
HANA table is taking 10 ms to fetch data in HANA studio .
When we create the same dashboard on that table, the report is taking
around 4 Seconds.
Report has around 10 query.
You may raise finger on dashboard tool. But by only converting view to table dashboard is giving good performance .
Please suggest what should we use Table or View for reporting tool ????
Only performance matter to Users and that's why we have taken HANA.
Thanks
Anupam.

"When you use attribute view in calculation view, hana will first build the attribute view first it will process all the data from memory in attribute view and then only will proceed with the calculation view."
That's actually completely false.
Attribute views are not materialized in full every time an Analytic View is queried. On the contrary, only the joins/materialization required to fulfill the query are performed. I have rolled out Analytic views with 50+ attribute views joined to them, if every one was built every time the AV was used, that would be a disaster.
An attribute view is fully executed if you query it directly with SQL, but the behavior changes when used in an AV.
Quick observation in good faith of my statement.
Query an analytic view with one column from a joined attribute view (Material - MARA)
SELECT "PAPH1", SUM("VVREV")
FROM "_SYS_BIC"."Main.Analytics.CO/AN_COPA"
WHERE "PERIO_T" = '2013010'
GROUP BY "PAPH1"
Only one join is executed to the fact table
Query an analytic view with one column from a joined attribute view (Material - MARA), plus another column from a joined table (T179T) inside the attribute view (snowflaked dimension).
SELECT "PAPH1", "VTEXT_1", SUM("VVREV")
FROM "_SYS_BIC"."Main.Analytics.CO/AN_COPA"
WHERE "PERIO_T" = '2013010'
GROUP BY "PAPH1", "VTEXT_1"
Only two joins are executed; one to the snowflaked dimension and one to the fact table
So even though I am issuing a query against an AV with a very large number of dimensions, only what is needed is actually executed.
Happy HANA,
Justin

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Hi Krishna,
Please check this Article
http://scn.sap.com/community/businessobjects-explorer/blog
http://www.saphana.com/docs/DOC-2099
http://bobj.sapbiblog.com/2012/03/02/sap-businessobjects-explorer-4-0-powered-by-sap-hana/
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I have small question.
We have BW system and SAP ECC as source system and to get data from SAP ECC source system we are using SAP ECC Standard data source.
Now we required to, create modeling in SAP HANA by use of HANA View and get data from SAP ECC source table via SLT.
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Hi,
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we have two views with equal key fields which perform very good (order less than 1 second).
Both views give extra fields from data sets.
I want to combine those extra fields in one record with equal key values. Because some key combinations can miss in either one of both sets, I make an extra view with a union only on the keyfields of both views and use this view as driver for the combination, so I join both original views open with this driver. When I now query the resultview the performance is bad (order 3.5 minutes).
(This is independent of the number of result records)
Explain plan shows no full table scans.
Any suggestions to improve this construction??

I have split the two parts of the union query, and analysed both parts separately, see below.
The subviews perform as follows:
c_contr_opb_CD with restriction on contract_no 7 rows in 0:02 seconds
without restrictions 2216 records in 3:34 minutes
c_contr_opb_B with restriction on contract_no 5 rows in 0:01 seconds
without restrictions 1567 records in 0:05 minutes
(in both views are 1332 records with common keys)
When I make the view over an open join of both views and I use the
c_contr_opb_B as driver then it performs with and without restriction
on contract_no the same, suggesting it performs the 'group by'-clause in
the view c_contr_opb_CD before applying the restriction.
When, on the other hand I use the view c_contr_opb_CD as driver it seems to
apply the restriction before the 'group by'-clause in the view.
Is there a way to always apply the restriction berore the 'group by' clause
select tB.Contract_no
, tB.agc
, tB.salesgroup
, tB.B_pricing
, tB.B_No_of_elements
, tB.B_m3_elements
, tB.C_complete
, tCD.C_pricing
, tCD.C_No_of_elements
, tCD.C_m3_elements
, tCD.D_pricing
, tCD.D_No_of_elements
, tCD.D_m3_elements
from c_contr_opb_CD tCD
, c_contr_opb_B tB
where (tCD.Contract_no(+) = tB.Contract_no
and tCD.agc(+) = tB.agc
and tCD.salesgroup(+) = tB.salesgroup)
and tB.contract_no=lpad('20042002',20);
query in 3:40 minutes, result 5 records
Options Object Operation
SELECT STATEMENT
OUTER MERGE JOIN
JOIN SORT
C_CONTR_OPB_B VIEW
GROUP BY SORT
VIEW
UNION-ALL
NESTED LOOPS
UNIQUE SCAN PK_CMHD INDEX
BY INDEX ROWID CMMT TABLE ACCESS
RANGE SCAN PK_CMMT INDEX
NESTED LOOPS
UNIQUE SCAN PK_CMHD INDEX
BY INDEX ROWID CMSV TABLE ACCESS
RANGE SCAN PK_CMSV INDEX
JOIN SORT
C_CONTR_OPB_CD VIEW
GROUP BY SORT
VIEW
UNION-ALL
NESTED LOOPS
RANGE SCAN X_SHP_CM INDEX
BY INDEX ROWID CMMT TABLE ACCESS
RANGE SCAN PK_CMMT INDEX
NESTED LOOPS
RANGE SCAN X_SHP_CM INDEX
BY INDEX ROWID CMSV TABLE ACCESS
RANGE SCAN PK_CMSV INDEX
28 rows selected.
select tCD.Contract_no
, tCD.agc
, tCD.salesgroup
, tB.B_pricing
, tB.B_No_of_elements
, tB.B_m3_elements
, tB.C_complete
, tCD.C_pricing
, tCD.C_No_of_elements
, tCD.C_m3_elements
, tCD.D_pricing
, tCD.D_No_of_elements
, tCD.D_m3_elements
from c_contr_opb_B tB
, c_contr_opb_CD tCD
where (tB.Contract_no(+) = tCD.Contract_no
and tB.agc(+) = tCD.agc
and tB.salesgroup(+) = tCD.salesgroup)
and tCD.contract_no=lpad('20042002',20);
query in 0:05 minutes, result 7 rows
Options Object Operation
SELECT STATEMENT
OUTER MERGE JOIN
JOIN SORT
C_CONTR_OPB_CD VIEW
GROUP BY SORT
VIEW
UNION-ALL
NESTED LOOPS
UNIQUE SCAN PK_CMHD INDEX
BY INDEX ROWID CMMT TABLE ACCESS
RANGE SCAN PK_CMMT INDEX
NESTED LOOPS
UNIQUE SCAN PK_CMHD INDEX
BY INDEX ROWID CMSV TABLE ACCESS
RANGE SCAN PK_CMSV INDEX
JOIN SORT
C_CONTR_OPB_B VIEW
GROUP BY SORT
VIEW
UNION-ALL
NESTED LOOPS
RANGE SCAN X_SHP_CM INDEX
BY INDEX ROWID CMMT TABLE ACCESS
RANGE SCAN PK_CMMT INDEX
NESTED LOOPS
RANGE SCAN X_SHP_CM INDEX
BY INDEX ROWID CMSV TABLE ACCESS
RANGE SCAN PK_CMSV INDEX
create or replace view c_contr_opb_B as
select     Contract_no
     ,     agc
     ,     salesgroup
     ,     min(C_complete)          C_complete
     ,     sum(B_pricing)          B_pricing
     ,     sum(B_No_of_elements)     B_No_of_elements
     ,     sum(B_m3_elements)     B_m3_elements
     from (     select     h.cm_num               Contract_no
          ,     ms.agc
          ,     ms.sales_group               salesgroup
          ,     decode(ms.closed_reason,'C001','*',' ')     C_complete
          ,     ms.unit_price*ms.ord_qty     B_pricing
          ,      decode(ms.agc,'PROJ',fnc_struct_m3(ms.ccn,ms.structure_id,ms.structure_rev)
                    ,0)*ms.ord_qty          B_m3_elements
          ,     ms.ord_qty                B_No_of_elements
          from     cmmt     ms
          ,     cmhd     h
          where     ms.ccn          = h.ccn
          and     ms.cm_num     = h.cm_num
          and     ms.price_bucket     = 'B'
          and     ms.closed_reason in ('C001',' ')
          and     h.ccn          = 'SPAN'
          UNION ALL
          select     h.cm_num               Contract_no
          ,     ms.agc
          ,     ms.sales_group               salesgroup
          ,     decode(ms.closed_reason,'C001','*',' ')     C_complete
          ,     ms.unit_price*ms.ord_qty     B_pricing
          ,      0                    B_m3_elememts
          ,     ms.ord_qty                B_No_of_elements
          from     cmsv     ms
          ,     cmhd     h
          where     ms.ccn          = h.ccn
          and     ms.cm_num     = h.cm_num
          and     ms.price_bucket     = 'B'
          and     ms.closed_reason in ('C001',' ')
          and     h.ccn          = 'SPAN'
     ) group by Contract_no
     ,     agc
     ,     salesgroup
create or replace view c_contr_opb_CD as
select     Contract_no
     ,     agc
     ,     salesgroup
     ,     sum(C_pricing)          C_pricing
     ,     sum(C_No_of_elements)     C_No_of_elements
     ,     sum(C_m3_elements)     C_m3_elements
     ,     sum(D_pricing)          D_pricing
     ,     sum(D_No_of_elements)     D_No_of_elements
     ,     sum(D_m3_elements)     D_m3_elements
     from (     select     h.cm_num               Contract_no
          ,     ms.agc
          ,     ms.sales_group               salesgroup
          ,     ms.unit_price*ms.ord_qty     C_pricing
          ,     ms.ord_qty                C_No_of_elements
          ,      decode(ms.agc,'PROJ',fnc_item_m3(ms.ccn,ms.item,ms.revision),0)
                    *ms.ord_qty          C_m3_elements
          ,     ms.unit_price*ms.ord_qty     D_pricing
          ,     decode(ms.agc,'PROJ',fnc_item_aantal_D(ms.ccn,ms.item,ms.revision),0)
                                   D_No_of_elements
          ,      decode(ms.agc,'PROJ',fnc_item_m3_D(ms.ccn,ms.item,ms.revision),0)
               * decode(ms.agc,'PROJ',fnc_item_aantal_D(ms.ccn,ms.item,ms.revision),0)
                                   D_m3_elements
          from     cmmt     ms
          ,     cmhd     h
          where     ms.ccn          = h.ccn
          and     ms.cm_num     = h.cm_num
          and     ms.price_bucket     = 'C'
          and     ms.closed_reason in ('F001','F003',' ')
          and     h.ccn          = 'SPAN'
          UNION ALL
          select     h.cm_num               Contract_no
          ,     ms.agc
          ,     ms.sales_group               salesgroup
          ,     ms.unit_price*ms.ord_qty     C_pricing
          ,     ms.ord_qty                C_No_of_elements
          ,      0                    C_m3_elememts
          ,     ms.unit_price*ms.ord_qty     D_pricing
          ,     0                    D_No_of_elements
          ,      0                    D_m3_elements
          from     cmsv     ms
          ,     cmhd     h
          where     ms.ccn          = h.ccn
          and     ms.cm_num     = h.cm_num
          and     ms.price_bucket     = 'C'
          and     ms.closed_reason in ('F001','F003',' ')
          and     h.ccn          = 'SPAN'
     ) group by Contract_no
     ,     agc
     ,     salesgroup

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Hello All,
I have a hana calculation view which has the column name and label defined perfectly. When I use the HANA view in Crystal Report 2013, the column labels are not showing up in the field explorer even after enabling the show both name and description. Please help.

hi
is anyone has answer for this question.
thanks...!!!!

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We experience that using the method setWhereClauseParam gives VERY BAD performance in our JSP applications.
According to JDev team and others, "best practice" is to use setWhereClauseParam(s), so we wonder why the performance degrade significantly compared to a simpler approach (=define the whereclause when the datasource is created). To avoid the shared pool to grow we were tempted to use the recommended best-practice-parameter-binding approach, but due to performance we had to drop that idea.
Our JSP (pseudo) code look like this:
<jbo:ApplicationModule id="am" .......
<jbo:DataSource id="ds" appid="am" viewobject="ourView" rangesize="0"/>
<%
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ourVo.setWhereClauseParam(0, 'xxx');
ourVo.setWhereClauseParam(1, 'yyy');
%>
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bla bla bla ..
</jbo:RowsetIterate>
THIS IS SLOW !! ..... compared to:
<jbo:ApplicationModule id="am" .......
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We get the same results but the last method is times 100 faster ??
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OK. I believe I now know what the culprit it. It is your use of the where clause fragment:
(pdk_files_id = ? OR ? IS NULL)
Here's how I arrived at this (while at the same time ruling BC4J out of the picture as a potential cause of the problem).
I following the steps below:
[list]
[*]Connected as SCOTT in SQLPlus, I create the table:
CREATE TABLE files( pdk_files_id NUMBER PRIMARY KEY, name VARCHAR2(20));
[*]I insert one row into the new files table:
INSERT INTO files values (1111, 'SteveTest');
COMMIT;
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this created the plan table in my SCOTT schema needed to run the autotrace feature
[*]In SQLPLUS, still connected as SCOTT I issue the command:
SET AUTOTRACE ON EXPLAIN
[*]Then I do the following to create a SQL*Plus bind variable
VAR v VARCHAR2(20)
[*]And then do the following to set its value at the SQL*Plus command prompt:
EXEC :v := '1111';
[list]
Finally, I try some different queries and look at the autotrace output:
SQL> select * from files where pdk_files_id = 1111
2 /
PDK_FILES_ID NAME
        1111 SteveTest
Execution Plan
   0      SELECT STATEMENT Optimizer=CHOOSE
   1    0   TABLE ACCESS (BY INDEX ROWID) OF 'FILES'
   2    1     INDEX (UNIQUE SCAN) OF 'SYS_C003006' (UNIQUE).
This shows that using the literal value 1111 uses the index.
SQL> select * from files where (pdk_files_id = 1111 or 1111 is null)
2 /
PDK_FILES_ID NAME
        1111 SteveTest
Execution Plan
   0      SELECT STATEMENT Optimizer=CHOOSE
   1    0   TABLE ACCESS (BY INDEX ROWID) OF 'FILES'
   2    1     INDEX (UNIQUE SCAN) OF 'SYS_C003006' (UNIQUE).
This shows that using the literal values together with the OR clause, still uses the index.
SQL> select * from files where (pdk_files_id = :v)
2 /
PDK_FILES_ID NAME
        1111 SteveTest
Execution Plan
   0      SELECT STATEMENT Optimizer=CHOOSE
   1    0   TABLE ACCESS (BY INDEX ROWID) OF 'FILES'
   2    1     INDEX (UNIQUE SCAN) OF 'SYS_C003006' (UNIQUE).
Using my ":v" bind variable I defined, it uses the index, too, even though the type of the bind variable is VARCHAR2 and the type of the PDK_FILES_ID column is NUMBER. This is because this is a simple enough case for the database to do automatic type coersion to convert my string value '1111' for the bind variable into the number value 1111 and then use that for the index lookup.
HOWEVER, when I try the case that simulates what you are doing in BC4J, which is using a bind variable together with the OR clause for the NULL test, we see...
SQL> select * from files where (pdk_files_id = :v OR :v IS NULL)
2 /
PDK_FILES_ID NAME
        1111 SteveTest
Execution Plan
   0      SELECT STATEMENT Optimizer=CHOOSE
   1    0   TABLE ACCESS (FULL) OF 'FILES'.
So in this case, the database DOES NOT use the index, and hence explains why your query is slow.
I believe the database works this way because when it hard-parses the SQL statement, it is at this time that it determines the query plan for the SQL statement. The plan needs to remain stable since the same plan will be cached and reused for all uses of the same parsed SQL statement, so the plan cannot be conditional based on the values of the bind variables. Since it cannot decide without knowing the value of the bind variable, it apparently disqualifies your index from being used.
Even introducing an optimizer hint only improves the problem a little. I tried this example:
SQL> select /*+INDEX (files sys_c003006)*/ *
2 from files where (pdk_files_id = :v or :v IS NULL)
3 /
PDK_FILES_ID NAME
        1111 SteveTest
Execution Plan
   0      SELECT STATEMENT Optimizer=CHOOSE (Cost=826 Card=5 Bytes=125)
   1    0   TABLE ACCESS (BY INDEX ROWID) OF 'FILES' (Cost=826 Card=5 Bytes=125)
   2    1     INDEX (FULL SCAN) OF 'SYS_C003006' (UNIQUE) (Cost=26 Card=82).
In this case it still has to fully scan the index where above it was able to do a unique scan.
MORAL OF THE STORY:The tiny cost of having two different View Objects in your application, one to use when you want to find by PDK_FILES_ID, and one to use when you want to find by your other key criteria, is well worth the performance improvement that can be had by using bind variables and using them in a way that the database will use the index.
As Tom Kyte says in his excellent book Expert One on One: Oracle in a passage that made me laugh:
"If I were going to write a book about building Oracle applications that do not scale, "Don't Use Bind Variables" would be the first and last chapter." :-)
So, by using a few design-time-created view objects that uses bind variables and avoid the use of the (COL = ? OR ? IS NULL) construct, you get the following benefits:
[list]
[*]The database doesn't have to hard-parse your SQL statement each time you execute it (which it does if you keep sending queries that have literal values in the SQL statement, making each query different as far as the SGA is concerned)
[*]The indexes will get used correctly as we saw above
[*]Your code actually might be clearer, since you can name one of your view objects "FindFileById" and the other one "FindFileByName", or what have you
[list]
Hope this helps.

Bad performance quadro 4800 and premiere pro

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I run OSX Lion 10.7.2 and have the quadro fx 4800 installed in a:
Mac Pro 4,1
2 x 2.93Ghz Quad-core Intel Xeon
12GB of Ram
with two additional Geforce GT 120 installed too.
the latest drivers for the 4800
GPU driver version: 7.12.9 270.05.10f03
CUDA driver version: 4.0.50
I run Premiere 5.5.2 and have tested the performance with the two different settings:
Mercury Playback Engine GPU Acceleration
Mercury Playback Engine Software Only
I did this test because I didn’t feel my 4800 did the work I’ve read everywhere it should. Adding simple text titles to AVCHD footage made my playback drop frames.
Anyhow, I tested my machine with 1920x1080 AVCHD and added video layers until I started to see stutter during playback. First with “Mercury Playback Engine GPU Acceleration”. With 14 video layers sized down so you could see them all beside one another playback started to drop frames. The yellow line was still yellow in the top of the timeline. Shouldn’t it turn red if the footage needs rendering?
I then switched to “Mercury Playback Engine Software Only” and the yellow line turned red. The strange thing is that when I played back the same 14 layers of video the dropped frames where gone!! Isn’t this beyond strange??? Shouldn’t everything run more smooth with the “Mercury Playback Engine GPU Acceleration”?
Has it got anything to do with my Geforce GT 120 installed? Should I get rid of those? My two 24 inch apple displays are both connected to the 4800.
PLEASE help me or redirect me to some good forums!

After testing final cut (which I love) and Premiere back and forth with the exact same media I notice that editing prores in Final cut is the best when it comes to just edit the film. Sure Premiere does take native MTS files but what good is this when it doesn't run fluidly? Comparing playback and editing with prores in Final Cut and Premiere makes me realize that on my computer, don't ask me why, a rendered sequence with prores material in Premiere is far more jerky than a sequence with prores that "do not need render" in Final cut. Shouldn't they be the same?? Movements like camera pans that originally were shot really smoothly isn't as smooth as they should be playing back in premiere (and yes I know I got the right sequence settings and all). Final cut however gives me what I want.
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Thanks for the links lasvideo but I practically read every article there is about CUDA, premiere and mercury playback engine already.
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12 dec 2011 kl. 22:03 skrev lasvideo:
Re: bad performance quadro 4800 and premiere pro
created by lasvideo in Premiere Pro CS5 & CS5.5 - View the full discussion
Some answers for you right from the horses mouth
http://blogs.adobe.com/premiereprotraining/2011/02/cuda-mercury-playba ck-engine-and-adobe-premiere-pro.html
http://forums.adobe.com/message/3804386#3804386
http://forums.adobe.com/community/premiere/faq_list
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Why 3 queries are generated while running a report?

Hi All,
I'm into SA production support team. Currently i'm curious to know that why 3 queries are getting generated in Siebel Analytics server log while i'm running a pivot report in Answer?
Can anyone explain it? Is there any issue with the RPD itself?
Thanks
Sudipta

Usually I'd seen this is expected behaviour. Your probably seeing one query for the table view, one for grand totals (assuming they are switched on) and one for the pivot. Basically when the BI server cant perform it all in one statement, you see multiple statements and a 'stich' performed in memory, the idea is its shipping as much processing to the db as possible - usually this is more efficient than in-memory operations performed on the OBIEE server.

Bad performance updating purchase order (ME22N)

Hello!
Recently, we face bad performance updating purchase orders using transaction ME22N. The problem occurs since we implemented change documents for a custom table T. T is used to store additional data to purchase order positions using BAdIs ME_PROCESS_PO_CUST and ME_GUI_PO_CUST.
I've created a change document C_T for T using transaction SCDO. The update module of the change document is triggered in the method POST of BAdI ME_PROCESS_PO_CUST.
Checking transaction SM13, I recognized that the update requests of ME22n have status INIT for several minutes before they are processed. I also tried to exclude the call of the update module for change document C_T (in Method POST) - the performance problem still occurs!
The problem only occurs with transaction ME22N, thus I assume that the reason is the new change document C_T.
Thanks for your help!
Greetings,
Wolfgang

I agree with vikram, we don't have enough information, even not a small hint on usage of this field, so which answer do you expect (The quality of an answer depends ...) This analysis must be executed on your system...
From a technical point of view, the BAPI_PO_CHANGE has EXTENSIONIN table parameter, fill it using structure BAPI_TE_MEPOITEM[X] alreading containing CI_EKPODB (*) and CI_EKPODBX (**)
Regards,
Raymond
(*) I guess you have used this include
(**) I guess you forgot this one (same field names but data element always BAPIUPDATE)

WHY HANA VIEW ARE GIVING BAD PERFORMANCE IN DASHBOARD THEN TABLE

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