Can't start data miner,please give some help

after creating a connection,click "ok",it display:
Specified schema is not configured for use with Oracle Data mining.
I don't know the reason,I must miss something.

PATH = %PATH%;C:\j2sdk1.4.2_03\bin;C:\j2me\j2me_cldc\bin
MIDP_HOME = C:\j2me\midp2.0fcs
SET CLASSPATH = .;C:\Javawork\;C:\jdk1.3\lib\dt.jar;C:\jdk1.3\lib\tools.jar;C:\lwjgl\lib\lwjgl-0.8-win32\lwjgl.jar;C:\lwjgl\lib\lwjgl-0.8-win32\lwjgl_test.jar;C:\j2me\midp2.0fcs\classes;%CLASSPATH%
My autoexec.bat. :D
In any case you had to put the "." in your classpath.
Oh i noticed, my path links to jdk1.4 but i still use classes of 1.3 .:D

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We have a requirement to print the w2 forms for employees using java application, how can i implement this. Please give some suggestion.

We have a requirement to print the w2 forms for employees using java application, how can i implement this. Please give some suggestion.

Anyone any ideas to help please?

Lightsaber effect in Photoshop Elements 4.0- Please give some help

Hi,
I am very new to photo editing. I've been asked by my young cousins to photoshop in the lightsaber effect to some still photos. All I have is photoshop elements 4.0, and all the tutorials I find are in different editions.
So far, I created the additional screen layer, used the lasso tool to isolate the rod, filled in white. Added additional layers as described and added the different gausian blur layers too. However unlike other versions there is no way I can see to change the colors of the "outer glow" in my version.
Should I leave the first layer white, making the core, then make the additional copied layers the color I want with the blur?
Also can someone tell me how do I round off the tip of the blade?
I am sorry as this must be a pretty annoying issue to have to explain to every new user, but I promised the guys I'd do it and don't want to let them down.

I used a tutorial online for a different version of photoshop.
I created a new layer, as a screen with the option to fill in background with black, and used the lasso tool to isolate the rod and filled it in white.
Then I created 3 duplicate layers of this layer.
I then gave the core layer a gaussian blur of about 5
then first copied layer a blur of 10
next layer a blur of 20
and finally a blur of 30 all as instructed by the tutorial.
The creates a great looking white saber, but then the tutorial has an option to color the outer glow. My version does not.
As of last night I was able to use the "color variations" option and select increase blue for the midtones and some highlight. Its not as precise as I would like and I've getting fairly ok results each time, but this method is really trial and error.
I will look into using the hue/sat choice tonight, but when i selcted that last night, it changed the hue of the whole image and not just the outer glow layers.
I'll post a pic of the work so far from my home computer tonight.

What is IMPORT/EXORT statements ?please give some example code?

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EXPORT :-To read data objects from an ABAP program into ABAP memory, use the following statement:
Syntax
EXPORT <f1> [FROM <g 1>] <f 2> [FROM <g 2>] ... TO MEMORY ID <key>.
This statement stores the data objects specified in the list as a cluster in memory. If you do not use the option FROM <f i >, the data object <f i > is saved under its own name. If you use the FROM <g i > option, the data objet <g i > is saved under the name <f i >. The name <key> identifies the cluster in memory. It may be up to 32 characters long.
The EXPORT statement always completely overwrites the contents of any existing data cluster with the same name <key>.
IMPORT :-To read data objects from ABAP memory into an ABAP program, use the following statement:
Syntax
IMPORT <f1> [TO <g 1>] <f 2> [TO <g 2>] ... FROM MEMORY ID <key>.
This statement reads the data objects specified in the list from a cluster in memory. If you do not use the TO <g i > option, the data object <f i > in memory is assigned to the data object in the program with the same name. If you do use the option, the data object <f i > is read from memory into the field <g i >. The name <key> identifies the cluster in memory. It may be up to 32 characters long.
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they are used to save and reterive data in ABAP memory.
here is an example to clear about them.
REPORT ZWA_TEST2 .
data: it_bkpf type table of bkpf with header line.
SELECT * FROM bkpf into table it_bkpf.
EXPORT it_bkpf TO MEMORY ID 'MID'.
refresh it_bkpf.
IMPORT it_bkpf FROM MEMORY ID 'MID'.
LOOP AT It_bkpf.
write:/ it_bkpf-belnr.
ENDLOOP.
Reward points if it is useful.......

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Click here and follow the instructions. You may need to completely remove and reinstall iTunes and all related components, or run the process multiple times; this won't normally affect its library, but that should be backed up anyway.
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HI Deba,
We can create exception aggr in inof object level........
we can maintain at query level also.........
Exception aggregation
In the query definition, the exception aggregation that was specified with the InfoObject
maintenance can be overridden. This overriding leads to a worsening of performance
however.
https://www.sdn.sap.com/irj/sdn/go/portal/prtroot/docs/library/uuid/bda556e9-0c01-0010-83b0-d519d6deb9e9
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Dear Chandu
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Hello Experts please give some suggestions in this code

Hello Experts . Please give suggestions in changing the below code to increase the performance . Thanks in advance for all your suggestions...
PARAMETERS : Pr_WERKS LIKE EKPO-WERKS OBLIGATORY,
 Pr_EINDT LIKE EKET-EINDT OBLIGATORY.
SELECT-OPTIONS : S_LIFNR FOR EKKO-LIFNR MATCHCODE
 OBJECT KRED OBLIGATORY.
DATA: BEGIN OF SELEC OCCURS 10,
 SIGN(1),
 OPTION(2),
 LOW LIKE p_eindt,
 HIGH LIKE p_eindt,
 END OF SELEC.
SELEC-SIGN = 'I'.
SELEC-OPTION = 'BT'.
SELEC-LOW = pr_eindt.
SELEC-HIGH = pr_eindt + 31.
SELECT * FROM EKET WHERE EINDT IN SELEC.
 CHECK EKET-MENGE NE 0.
 SELECT * FROM EKPO WHERE EBELN = EKET-EBELN AND
 EBELP = EKET-EBELP AND
 WERKS = Pr_WERKS.
 SELECT * FROM EKKO WHERE EBELN = EKET-EBELN AND
 LIFNR IN S_LIFNR AND
 BSTYP = 'L' AND
 FRGKE = 'R'.
 SELECT SINGLE * FROM MAKT WHERE MATNR = EKPO-MATNR AND
 SPRAS = 'EN'.
 SELECT SINGLE * FROM LFA1 WHERE LIFNR = EKKO-LIFNR.
 EXTRACT DETAIL.
 ENDSELECT.
 ENDSELECT.
ENDSELECT.

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.

Can not start data Collection service

I have installed Fabric Manager version 3.3.(4). In the Performance Web Client I can not start the service Data Collection is in starting forever.
I also could not stop it. I rebooted the server and the status for this service is in starting.
Thanks,

Please provide more details like: Server OS, Java version, and what type of database you are using for the FM Server. Have you considered using a newer version of FM Server?

Please give some idea friends.

I have a text file with 10 lines. Eas line is containing 3 words separated by colon. I have a bean to get those 3 words. What i want to do is to create 10 bean object, initialize them with the data available in the text file. and finally store those beans in a array list. I have written the following code to read a line and bread the line in tokens. After that how i should proceed. Please give me some idea.
                        for(String line = null; (line = br.readLine()) != null; lineCount++) {
                                StringTokenizer tokenizer = new StringTokenizer(line, ":");
                                while(tokenizer.hasMoreTokens()) {
                                        String strTemp = tokenizer.nextToken();
                                        System.out.println(strTemp);
                                }Thanks.

you should have an array of strings to store the information and then call your object constructor, passing it the various elements in the array. I couldn't tell from looking at your code, but if you don't include a space in the tokenizer constructor, then it will return a word including a space. I'm not sure if that matters to you or not.

Please give some logical code

Hi Experts,
Please give me the logic for the given below scenario
I-Table
A B
1 a
1 b
1 c
2 d
3 a
3 e
3 f
4 g
4 g
In the above itab , itab have lot of records (1000000). i want to display what are all having multiple values only in column A.i want to delete single records (like 2 d(4th row)this row will be delete ) if column A and column B having same value i want to delete that rows.
Thanks & Regards,
Rajan

Hi Raja..
Just paste this code..solves ur problem
data:
begin of itab occurs 0,
f1 type i ,
f2 type c value 'X',
end of itab.
data wa_itab like line of itab.
data:
w_temp type i,
w_ctr type i.
itab-f1 = 1.
append itab.
itab-f1 = 1.
append itab.
itab-f1 = 2.
append itab.
itab-f1 = 2.
append itab.
itab-f1 = 2.
append itab.
itab-f1 = 7.
append itab.
itab-f1 = 3.
append itab.
itab-f1 = 4.
append itab.
itab-f1 = 4.
append itab.
itab-f1 = 5.
append itab.
sort itab by f1.
loop at itab.
at new f1.
 w_ctr = sy-tabix + 1.
 read table itab index w_ctr into wa_itab.
 if itab-f1 ne wa_itab-f1.
 continue.
 endif.
 endat.
write: / itab-f1, itab-f2.
endloop.

Hii updated my New Ipad to iOS 6, and when i try to open itunes a dialog box appear which says " Cannot Connect to Itunes Store"??????..please give some solution

hiii
I updated my new ipad to iOS6 and when I try to open itunes a box appear which says " Cannot connect to itunes store"?????????
please give me some solution.
And i also try to bluetooth to connect to another apple device, but no pairing or connection is made???????????

hiii
I updated my new ipad to iOS6 and when I try to open itunes a box appear which says " Cannot connect to itunes store"?????????
please give me some solution.
And i also try to bluetooth to connect to another apple device, but no pairing or connection is made???????????

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