Theater 550 Pro's PowerCinema 4 take too much CPU resource?

Hello all Theater 550 Pro users,
I am experiencing Power Cinema 4 is taking too much CPU utilization on my PC, versus any other TV viewer apps like WinAmp TV, FlyTV, etc. CLCapSvc.exe is the process that blatantly taking most juice out of the CPU, causing TV viewing experience on Power Cinema 4 bad. Anyone know how to fix this? Any known patch for Powercinema4?
Now I'm using WinAmp's TV plugin until I find a better TV Viewer prog. Any suggestion?
Do you guys use any other TV Viewer app?

Thanks Stu. I'm still figuring how to get mediaportal working on my PC as over here only have analog TV, no EPG, no scheduler, no nothing... just plain old TV Viewer is all I want. However, PowerCinema4's CLCapSvc.exe issue shouldn't be ignored too...

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SELECT query takes too much time! Y?

Plz find my SELECT query below:
select w~mandt
wvbeln wposnr wmeins wmatnr wwerks wnetwr
wkwmeng wvrkme wmatwa wcharg w~pstyv
wposar wprodh wgrkor wantlf wkztlf wlprio
wvstel wroute wumvkz wumvkn wabgru wuntto
wawahr werdat werzet wfixmg wprctr wvpmat
wvpwrk wmvgr1 wmvgr2 wmvgr3 wmvgr4 wmvgr5
wbedae wcuobj w~mtvfp
xetenr xwmeng xbmeng xettyp xwepos xabart
x~edatu
xtddat xmbdat xlddat xwadat xabruf xetart
x~ezeit
into table t_vbap
from vbap as w
inner join vbep as x on xvbeln = wvbeln and
xposnr = wposnr and
xmandt = wmandt
where
( ( werdat > pre_dat ) and ( werdat <= w_date ) ) and
( ( ( erdat > pre_dat and erdat < p_syndt ) or
( erdat = p_syndt and erzet <= p_syntm ) ) ) and
w~matnr in s_matnr and
w~pstyv in s_itmcat and
w~lfrel in s_lfrel and
w~abgru = ' ' and
w~kwmeng > 0 and
w~mtvfp in w_mtvfp and
x~ettyp in w_ettyp and
x~bdart in s_req_tp and
x~plart in s_pln_tp and
x~etart in s_etart and
x~abart in s_abart and
( ( xlifsp in s_lifsp ) or ( xlifsp = ' ' ) ).
The problem: It takes too much time while executing this statement.
Could anybody change this statement and help me out to reduce the DB Access time?
Thx

Ways of Performance Tuning
1.     Selection Criteria
2.     Select Statements
     Select Queries
     SQL Interface
     Aggregate Functions
     For all Entries
Select Over more than one internal table
Selection Criteria
1.     Restrict the data to the selection criteria itself, rather than filtering it out using the ABAP code using CHECK statement.
2.     Select with selection list.
SELECT * FROM SBOOK INTO SBOOK_WA.
CHECK: SBOOK_WA-CARRID = 'LH' AND
         SBOOK_WA-CONNID = '0400'.
ENDSELECT.
The above code can be much more optimized by the code written below which avoids CHECK, selects with selection list
SELECT CARRID CONNID FLDATE BOOKID FROM SBOOK INTO TABLE T_SBOOK
WHERE SBOOK_WA-CARRID = 'LH' AND
              SBOOK_WA-CONNID = '0400'.
Select Statements   Select Queries
1.     Avoid nested selects
SELECT * FROM EKKO INTO EKKO_WA.
SELECT * FROM EKAN INTO EKAN_WA
      WHERE EBELN = EKKO_WA-EBELN.
ENDSELECT.
ENDSELECT.
The above code can be much more optimized by the code written below.
SELECT PF1 PF2 FF3 FF4 INTO TABLE ITAB
    FROM EKKO AS P INNER JOIN EKAN AS F
      ON PEBELN = FEBELN.
Note: A simple SELECT loop is a single database access whose result is passed to the ABAP program line by line. Nested SELECT loops mean that the number of accesses in the inner loop is multiplied by the number of accesses in the outer loop. One should therefore use nested SELECT loops only if the selection in the outer loop contains very few lines or the outer loop is a SELECT SINGLE statement.
2.     Select all the records in a single shot using into table clause of select statement rather than to use Append statements.
SELECT * FROM SBOOK INTO SBOOK_WA.
CHECK: SBOOK_WA-CARRID = 'LH' AND
         SBOOK_WA-CONNID = '0400'.
ENDSELECT.
The above code can be much more optimized by the code written below which avoids CHECK, selects with selection list and puts the data in one shot using into table
SELECT CARRID CONNID FLDATE BOOKID FROM SBOOK INTO TABLE T_SBOOK
WHERE SBOOK_WA-CARRID = 'LH' AND
              SBOOK_WA-CONNID = '0400'.
3.     When a base table has multiple indices, the where clause should be in the order of the index, either a primary or a secondary index.
To choose an index, the optimizer checks the field names specified in the where clause and then uses an index that has the same order of the fields. In certain scenarios, it is advisable to check whether a new index can speed up the performance of a program. This will come handy in programs that access data from the finance tables.
4.     For testing existence, use Select.. Up to 1 rows statement instead of a Select-Endselect-loop with an Exit.
SELECT * FROM SBOOK INTO SBOOK_WA
UP TO 1 ROWS
WHERE CARRID = 'LH'.
ENDSELECT.
The above code is more optimized as compared to the code mentioned below for testing existence of a record.
SELECT * FROM SBOOK INTO SBOOK_WA
    WHERE CARRID = 'LH'.
EXIT.
ENDSELECT.
5.     Use Select Single if all primary key fields are supplied in the Where condition .
If all primary key fields are supplied in the Where conditions you can even use Select Single.
Select Single requires one communication with the database system, whereas Select-Endselect needs two.
Select Statements SQL Interface
1.     Use column updates instead of single-row updates
to update your database tables.
SELECT * FROM SFLIGHT INTO SFLIGHT_WA.
SFLIGHT_WA-SEATSOCC =
    SFLIGHT_WA-SEATSOCC - 1.
UPDATE SFLIGHT FROM SFLIGHT_WA.
ENDSELECT.
The above mentioned code can be more optimized by using the following code
UPDATE SFLIGHT
       SET SEATSOCC = SEATSOCC - 1.
2.     For all frequently used Select statements, try to use an index.
SELECT * FROM SBOOK CLIENT SPECIFIED INTO SBOOK_WA
WHERE CARRID = 'LH'
    AND CONNID = '0400'.
ENDSELECT.
The above mentioned code can be more optimized by using the following code
SELECT * FROM SBOOK CLIENT SPECIFIED INTO SBOOK_WA
WHERE MANDT IN ( SELECT MANDT FROM T000 )
    AND CARRID = 'LH'
    AND CONNID = '0400'.
ENDSELECT.
3.     Using buffered tables improves the performance considerably.
Bypassing the buffer increases the network considerably
SELECT SINGLE * FROM T100 INTO T100_WA
BYPASSING BUFFER
WHERE     SPRSL = 'D'
        AND ARBGB = '00'
        AND MSGNR = '999'.
The above mentioned code can be more optimized by using the following code
SELECT SINGLE * FROM T100 INTO T100_WA
WHERE     SPRSL = 'D'
        AND ARBGB = '00'
        AND MSGNR = '999'.
Select Statements Aggregate Functions
     If you want to find the maximum, minimum, sum and average value or the count of a database column, use a select list with aggregate functions instead of computing the aggregates yourself.
Some of the Aggregate functions allowed in SAP are MAX, MIN, AVG, SUM, COUNT, COUNT( * )
Consider the following extract.
            Maxno = 0.
            Select * from zflight where airln = LF and cntry = IN.
             Check zflight-fligh > maxno.
             Maxno = zflight-fligh.
            Endselect.
The above mentioned code can be much more optimized by using the following code.
Select max( fligh ) from zflight into maxno where airln = LF and cntry = IN.
Select Statements For All Entries
     The for all entries creates a where clause, where all the entries in the driver table are combined with OR. If the number of entries in the driver table is larger than rsdb/max_blocking_factor, several similar SQL statements are executed to limit the length of the WHERE clause.
     The plus
     Large amount of data
     Mixing processing and reading of data
     Fast internal reprocessing of data
     Fast
     The Minus
     Difficult to program/understand
     Memory could be critical (use FREE or PACKAGE size)
Points to be must considered FOR ALL ENTRIES
     Check that data is present in the driver table
     Sorting the driver table
     Removing duplicates from the driver table
Consider the following piece of extract
          Loop at int_cntry.
Select single * from zfligh into int_fligh
where cntry = int_cntry-cntry.
Append int_fligh.
                      Endloop.
The above mentioned can be more optimized by using the following code.
Sort int_cntry by cntry.
Delete adjacent duplicates from int_cntry.
If NOT int_cntry[] is INITIAL.
            Select * from zfligh appending table int_fligh
            For all entries in int_cntry
            Where cntry = int_cntry-cntry.
Endif.
Select Statements Select Over more than one Internal table
1.     Its better to use a views instead of nested Select statements.
SELECT * FROM DD01L INTO DD01L_WA
WHERE DOMNAME LIKE 'CHAR%'
        AND AS4LOCAL = 'A'.
SELECT SINGLE * FROM DD01T INTO DD01T_WA
    WHERE   DOMNAME    = DD01L_WA-DOMNAME
        AND AS4LOCAL   = 'A'
        AND AS4VERS    = DD01L_WA-AS4VERS
        AND DDLANGUAGE = SY-LANGU.
ENDSELECT.
The above code can be more optimized by extracting all the data from view DD01V_WA
SELECT * FROM DD01V INTO DD01V_WA
WHERE DOMNAME LIKE 'CHAR%'
        AND DDLANGUAGE = SY-LANGU.
ENDSELECT
2.     To read data from several logically connected tables use a join instead of nested Select statements. Joins are preferred only if all the primary key are available in WHERE clause for the tables that are joined. If the primary keys are not provided in join the Joining of tables itself takes time.
SELECT * FROM EKKO INTO EKKO_WA.
SELECT * FROM EKAN INTO EKAN_WA
      WHERE EBELN = EKKO_WA-EBELN.
ENDSELECT.
ENDSELECT.
The above code can be much more optimized by the code written below.
SELECT PF1 PF2 FF3 FF4 INTO TABLE ITAB
    FROM EKKO AS P INNER JOIN EKAN AS F
      ON PEBELN = FEBELN.
3.     Instead of using nested Select loops it is often better to use subqueries.
SELECT * FROM SPFLI
INTO TABLE T_SPFLI
WHERE CITYFROM = 'FRANKFURT'
    AND CITYTO = 'NEW YORK'.
SELECT * FROM SFLIGHT AS F
    INTO SFLIGHT_WA
    FOR ALL ENTRIES IN T_SPFLI
    WHERE SEATSOCC < F~SEATSMAX
      AND CARRID = T_SPFLI-CARRID
      AND CONNID = T_SPFLI-CONNID
      AND FLDATE BETWEEN '19990101' AND '19990331'.
ENDSELECT.
The above mentioned code can be even more optimized by using subqueries instead of for all entries.
SELECT * FROM SFLIGHT AS F INTO SFLIGHT_WA
    WHERE SEATSOCC < F~SEATSMAX
      AND EXISTS ( SELECT * FROM SPFLI
                     WHERE CARRID = F~CARRID
                       AND CONNID = F~CONNID
                       AND CITYFROM = 'FRANKFURT'
                       AND CITYTO = 'NEW YORK' )
      AND FLDATE BETWEEN '19990101' AND '19990331'.
ENDSELECT.
1.     Table operations should be done using explicit work areas rather than via header lines.
READ TABLE ITAB INTO WA WITH KEY K = 'X BINARY SEARCH.
IS MUCH FASTER THAN USING
READ TABLE ITAB INTO WA WITH KEY K = 'X'.
If TAB has n entries, linear search runs in O( n ) time, whereas binary search takes only O( log2( n ) ).
2.     Always try to use binary search instead of linear search. But dont forget to sort your internal table before that.
READ TABLE ITAB INTO WA WITH KEY K = 'X'. IS FASTER THAN USING
READ TABLE ITAB INTO WA WITH KEY (NAME) = 'X'.
3.     A dynamic key access is slower than a static one, since the key specification must be evaluated at runtime.
4.     A binary search using secondary index takes considerably less time.
5.     LOOP ... WHERE is faster than LOOP/CHECK because LOOP ... WHERE evaluates the specified condition internally.
LOOP AT ITAB INTO WA WHERE K = 'X'.
ENDLOOP.
The above code is much faster than using
LOOP AT ITAB INTO WA.
CHECK WA-K = 'X'.
ENDLOOP.
6.     Modifying selected components using MODIFY itab TRANSPORTING f1 f2.. accelerates the task of updating a line of an internal table.
WA-DATE = SY-DATUM.
MODIFY ITAB FROM WA INDEX 1 TRANSPORTING DATE.
The above code is more optimized as compared to
WA-DATE = SY-DATUM.
MODIFY ITAB FROM WA INDEX 1.
7.     Accessing the table entries directly in a "LOOP ... ASSIGNING ..." accelerates the task of updating a set of lines of an internal table considerably
Modifying selected components only makes the program faster as compared to Modifying all lines completely.
e.g,
LOOP AT ITAB ASSIGNING <WA>.
I = SY-TABIX MOD 2.
IF I = 0.
    <WA>-FLAG = 'X'.
ENDIF.
ENDLOOP.
The above code works faster as compared to
LOOP AT ITAB INTO WA.
I = SY-TABIX MOD 2.
IF I = 0.
    WA-FLAG = 'X'.
    MODIFY ITAB FROM WA.
ENDIF.
ENDLOOP.
8.    If collect semantics is required, it is always better to use to COLLECT rather than READ BINARY and then ADD.
LOOP AT ITAB1 INTO WA1.
READ TABLE ITAB2 INTO WA2 WITH KEY K = WA1-K BINARY SEARCH.
IF SY-SUBRC = 0.
    ADD: WA1-VAL1 TO WA2-VAL1,
         WA1-VAL2 TO WA2-VAL2.
    MODIFY ITAB2 FROM WA2 INDEX SY-TABIX TRANSPORTING VAL1 VAL2.
ELSE.
    INSERT WA1 INTO ITAB2 INDEX SY-TABIX.
ENDIF.
ENDLOOP.
The above code uses BINARY SEARCH for collect semantics. READ BINARY runs in O( log2(n) ) time. The above piece of code can be more optimized by
LOOP AT ITAB1 INTO WA.
COLLECT WA INTO ITAB2.
ENDLOOP.
SORT ITAB2 BY K.
COLLECT, however, uses a hash algorithm and is therefore independent
of the number of entries (i.e. O(1)) .
9.    "APPEND LINES OF itab1 TO itab2" accelerates the task of appending a table to another table considerably as compared to LOOP-APPEND-ENDLOOP.
APPEND LINES OF ITAB1 TO ITAB2.
This is more optimized as compared to
LOOP AT ITAB1 INTO WA.
APPEND WA TO ITAB2.
ENDLOOP.
10.   DELETE ADJACENT DUPLICATES accelerates the task of deleting duplicate entries considerably as compared to READ-LOOP-DELETE-ENDLOOP.
DELETE ADJACENT DUPLICATES FROM ITAB COMPARING K.
This is much more optimized as compared to
READ TABLE ITAB INDEX 1 INTO PREV_LINE.
LOOP AT ITAB FROM 2 INTO WA.
IF WA = PREV_LINE.
    DELETE ITAB.
ELSE.
    PREV_LINE = WA.
ENDIF.
ENDLOOP.
11.   "DELETE itab FROM ... TO ..." accelerates the task of deleting a sequence of lines considerably as compared to DO -DELETE-ENDDO.
DELETE ITAB FROM 450 TO 550.
This is much more optimized as compared to
DO 101 TIMES.
DELETE ITAB INDEX 450.
ENDDO.
12.   Copying internal tables by using ITAB2[ ] = ITAB1[ ] as compared to LOOP-APPEND-ENDLOOP.
ITAB2[] = ITAB1[].
This is much more optimized as compared to
REFRESH ITAB2.
LOOP AT ITAB1 INTO WA.
APPEND WA TO ITAB2.
ENDLOOP.
13.   Specify the sort key as restrictively as possible to run the program faster.
SORT ITAB BY K. makes the program runs faster as compared to SORT ITAB.
Internal Tables         contd
Hashed and Sorted tables
1.     For single read access hashed tables are more optimized as compared to sorted tables.
2.      For partial sequential access sorted tables are more optimized as compared to hashed tables
Hashed And Sorted Tables
Point # 1
Consider the following example where HTAB is a hashed table and STAB is a sorted table
DO 250 TIMES.
N = 4 * SY-INDEX.
READ TABLE HTAB INTO WA WITH TABLE KEY K = N.
IF SY-SUBRC = 0.
ENDIF.
ENDDO.
This runs faster for single read access as compared to the following same code for sorted table
DO 250 TIMES.
N = 4 * SY-INDEX.
READ TABLE STAB INTO WA WITH TABLE KEY K = N.
IF SY-SUBRC = 0.
ENDIF.
ENDDO.
Point # 2
Similarly for Partial Sequential access the STAB runs faster as compared to HTAB
LOOP AT STAB INTO WA WHERE K = SUBKEY.
ENDLOOP.
This runs faster as compared to
LOOP AT HTAB INTO WA WHERE K = SUBKEY.
ENDLOOP.

White MacBook takes too much time to boot up

Hi there.
I got the topcase(keyboard) of my MacBook repaired. (White MacBook 2006) and after that it takes nearly 7 up to 10 seconds after pressing the power button that I first see apple logo and it boots up.
I'm not sure but seems like that detecting the hardwares take too much time .
any solution?
PS: I'm running Snow Leopard(10.6.2)

macbig wrote:
OK, 32 seconds is not good. I don't think it has anything to do with a keyboard repair. You need to try a little maintenance: Reset Pram - http://docs.info.apple.com/article.html?artnum=2238
Repair Permissions - http://support.apple.com/kb/HT1452
Run Disk Utility >applications>utilities>disk utilities>verify disk
How much free space do you have on your HD: Right click on HD icon and select "get info" in the drop down menu (if you don't have right click capabilities, highlight your HD icon, go file in the Apple menu, and select "get info" in the drop down menu. Let us know your results.
Yes PRAM was the the problem, I've already tried it from this thread http://discussions.apple.com/thread.jspa?threadID=2303507&tstart=0
by the way thank you .

Itunes takes too much time to open and don´t recogneize my iphone

itunes takes too much time to open and don´t recogneize my iphone
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5-10 minutes is normal for me when opening iTunes. But then my library is stored on network drive which slows everything down.
There has been many posts about problems with RAID and iTunes. Don't know if any of those relate.

T400 takes too much time to start or shutdown

I got a lenovo thinkpad T400, everything seems to be fine but lot of issues.
1. It takes too much time to start or shutdown (I purchased 2GB turbo memory along with the system for $50, but no use).My system is slower than 2.2 GHz(mine is 2.53GHz)
2.Fingerprint Reader: When I tried to login using my fingerprint reader it gives an error message "computer is locked only authorized user can login", when we need to type in Password every time, why Finger print reader is used ?
Connectivity: All laptops around can see all networks but not mine, my system couldn't see any networks. Why ?
4. System strucks suddenly staying irresponsible for while.!!!!!!!!!!!
When I tried to talk to CSR, they instructed to format my system using the CD's which they are going to send.When I tried to do so; an error message occurred when I inserted second CD ,that "please insert suitable/matchable(don't remember exactly) CD.
I have other question; the CD's sent by lenovo are not AUTO PLAYABLE ?

what if you press your blue thinkvantage button during startup? does it take you to the recovery partition?
Regards,
Jin Li
May this year, be the year of 'DO'!
I am a volunteer, and not a paid staff of Lenovo or Microsoft

Bought i phone 6 64 GB just 3 days before performance is very bad.Couldn't even open app store it takes too much time for opening a web page.

bought i phone 6 64 GB just 3 days before performance is very bad.Couldn't even open app store it takes too much time for opening a web page.

You may need to reset your network settings, making sure the network you're accessing is stable: tap Settings > General > Reset > Reset Network Settings.
If your iPhone still can't connect to App Store, tap Settings > iTunes & App Store > tap the Apple ID and sign out > later, sign in with your Apple ID.

Azure Data Sync Log Take Too Much Time to Load

Hi,
I've found that the Azure Sync Log inside the Portal take too much time to load if my sync group was created long time ago. i.e. for those new sync group with only a few logs, it will take around 5 seconds for loading. However, I've many sync group created
more than 1 year, and it will take me up to 10 minutes for viewing the first page of the logs.
It seems the Portal will download ALL the logs to my browser even I just want to view the most recent logs (maybe I just want to view the last 10 records, but it will download the whole 5000 pages?)
It will be great if the Portal only fetch the data of the page I am currently viewing, instead of fetching all the logs.
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Michael Yung

Hello,
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Fanny Liu
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Hey
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I've tried to disable WLAN, same problem
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You can read: I have installed BootCamp (Lions one said no, but I have an MacBook 6,1 - Yep, this one was shipped with Snow Leopard, so I have the "old" BootCamp drivers with XP-drivers on my Install-disc.).
The BootCamp drivers from the Mac OSX 10.6 CD are installed and updated through Apple-Update.
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The queries takes too much time

Hi,
I want to compare time of queries between Spatial and PostGIS, but Spatial take too much time. I created spatial indexes in both databases so I have no idea where can be the problem :-(. I'm actually student and I try this for my essay, but I start with Oracle by myself so I'll appreciate some help.
I have table with cca 7000 polygons and I want to create new table like dissolve these polygons by attribute katuze.
Query in Spatial takes 8506 s :
CREATE TABLE dp_diss_p AS
SELECT KATUZE_KOD, SDO_AGGR_UNION(
MDSYS.SDOAGGRTYPE(a.geom, 0.005))GEOM
FROM dp_plochy a GROUP BY a.KATUZE_KOD;
Query in PostGIS takes 10.149 s :
CREATE TABLE plochy_diss AS
SELECT st_union(geom) AS geom
FROM plochy
GROUP BY katuze_kod;
I really don't know what to do, please give somebody me some advice :-(. Please excuse my English.
Thx Eva

I tryed use the sdo_aggr_set_union like this:
CREATE OR REPLACE FUNCTION get_geom_set (table_name VARCHAR2,
column_name VARCHAR2,
predicate VARCHAR2 := NULL)
RETURN SDO_GEOMETRY_ARRAY DETERMINISTIC AS
type cursor_type is REF CURSOR;
query_crs cursor_type ;
g SDO_GEOMETRY;
GeometryArr SDO_GEOMETRY_ARRAY;
where_clause VARCHAR2(2000);
BEGIN
IF predicate IS NULL
THEN
where_clause := NULL;
ELSE
where_clause := ' WHERE ';
END IF;
GeometryArr := SDO_GEOMETRY_ARRAY();
OPEN query_crs FOR ' SELECT ' || column_name ||
' FROM ' || table_name ||
where_clause || predicate;
LOOP
FETCH query_crs into g;
EXIT when query_crs%NOTFOUND ;
GeometryArr.extend;
GeometryArr(GeometryArr.count) := g;
END LOOP;
RETURN GeometryArr;
END;
CREATE TABLE dp_diss_p AS
SELECT KATUZE_KOD, sdo_aggr_set_union (get_geom_set ('dp_plochy', 'geom','CTVUK_KOD <>''1'''), .0005 ) geom
FROM dp_plochy a GROUP BY a.KATUZE_KOD;
It takes 21.721 s, but it return type of collection and I can't export it to *.shp because Georaptor export it like 'unknown' . Has anybody idea what can I do with it to export it like polygon?
Eva

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