Back ground job
Hi Experts,
See the following code.
When i run this program in fore ground it is giving time out error.Current running time is 600 Sec.When i run in Back ground with Immediate.Excute option after some time the job is cancled.When i see the job log It is mentioned as "More memory space requested".
Can any body Plz go thru the code and tell me what is the problem?
*& Report ZTEST_XML
REPORT ZTEST_XML.
*data: ifile like salfldir occurs 0 with header line.
data:p_path TYPE rsmrgstr-path value 'F:\usr\sap\CD5\serena\OCOS\'.
data: p_file type string.
TYPES: BEGIN OF t_xml_line, "Structure for holding XML data
data(256) TYPE x,
END OF t_xml_line.
data: BEGIN OF t_xml occurs 0,
rec TYPE x,
END OF t_xml.
data: begin of jtab occurs 0,
text type string,
end of jtab.
DATA: l_xml_table TYPE TABLE OF t_xml_line. " XML Table of the structure
data: wa(256) type x.
data: wa_xml like l_xml_table occurs 0.
data: l_str type string.
data: start_line type i,
end_line type i,
v_str type string.
data: cnt type i,
idx type i,
count1 type i,
len type i,
diff type i.
data: catalogid type string.
DATA : BEGIN OF DAT OCCURS 0,
LIN type string,
END OF DAT.
DATA: BASIC_TEXT LIKE THEAD OCCURS 0 WITH HEADER LINE.
DATA: YGUID LIKE COMM_PCAT_CTY-GUID,
ZGUID LIKE COMM_PCAT_CTV-PARENT_CATEGORY.
DATA: BASICTEXT like TLINE OCCURS 0 WITH HEADER LINE.
DATA: IT_THEAD LIKE THEAD OCCURS 0 WITH HEADER LINE.
data: begin of IT_SERENA occurs 0,
ID LIKE COMM_PCAT_CTY-ID,
TEXT type string,
end of IT_SERENA.
DATA:WA_SERENA like IT_SERENA.
DATA: wa_files TYPE rsfillst,
ifile LIKE TABLE OF wa_files.
data: begin of it_error occurs 0,
err type string,
end of it_error.
data: errorfile type string value 'error.txt'.
CALL FUNCTION 'SUBST_GET_FILE_LIST'
EXPORTING
DIRNAME = p_path
FILENM = '*'
PATTERN =
TABLES
FILE_LIST = ifile
EXCEPTIONS
ACCESS_ERROR = 1
OTHERS = 2
IF SY-SUBRC <> 0.
MESSAGE ID SY-MSGID TYPE SY-MSGTY NUMBER SY-MSGNO
WITH SY-MSGV1 SY-MSGV2 SY-MSGV3 SY-MSGV4.
ENDIF.
loop at ifile into wa_files.
if not wa_files-name cs '.xml'.
delete ifile.
endif.
endloop.
loop at ifile into wa_files.
concatenate p_path wa_files-name into p_file.
open dataset p_file for input in text mode encoding default.
if sy-subrc = 0.
do.
read dataset p_file into l_str.
if l_str = space.
exit.
endif.
if sy-subrc <> 0.
concatenate text-002 p_file into it_error-err.
append it_error.
clear it_error.
exit.
else.
jtab-text = l_str.
append jtab.
clear jtab.
endif.
enddo.
else.
concatenate text-001 p_file into it_error-err.
append it_error.
clear it_error.
continue.
endif.
loop at jtab.
if jtab-text cs 'Catalog ID'.
idx = sy-tabix .
endif.
endloop.
read table jtab index idx.
if sy-subrc = 0.
catalogid = jtab-text.
endif.
if catalogid cs '<![CDATA['.
shift catalogid left by 56 places.
endif.
if catalogid cs ']]></field>'.
replace ']]></field>' with space into catalogid.
endif.
write:/ 'Catalogid is:', catalogid.
IT_SERENA-ID = catalogid.
LOOP AT jTAB.
if jtab-text cs 'longDescription'.
start_line = sy-tabix + 1.
exit.
endif.
endloop.
cnt = start_line.
do.
read table jtab index cnt.
if jtab-text cs '</field>'.
end_line = sy-tabix.
exit.
else.
cnt = cnt + 1.
endif.
enddo.
loop at jtab from start_line to end_line.
concatenate jtab-text v_str into v_str separated by space.
endloop.
shift v_str left by 18 places.
shift v_str left by 10 places.
len = strlen( v_str ).
DO.
IF COUNT1 >= LEN.
EXIT.
ENDIF.
DIFF = LEN - COUNT1.
IF DIFF < 125.
DAT-LIN = v_str+COUNT1(DIFF).
ELSE.
DAT-LIN = v_str+COUNT1(125).
ENDIF.
DAT-LIN = v_str+COUNT1(125).
APPEND DAT.
WRITE :/ DAT-LIN.
CLEAR DAT.
COUNT1 = COUNT1 + 125.
ENDDO.
REFRESH BASIC_TEXT.
REFRESH BASICTEXT.
CLEAR YGUID.
CLEAR ZGUID.
SELECT SINGLE GUID FROM COMM_PCAT_CTY INTO YGUID
WHERE ID = IT_SERENA-ID.
IF NOT YGUID IS initial.
if sy-subrc <> 0.
concatenate text-003 p_file into it_error-err.
append it_error.
clear it_error.
else.
SELECT SINGLE GUID FROM COMM_PCAT_CTV INTO ZGUID
WHERE PARENT_CATEGORY = YGUID.
ENDIF.
BASIC_TEXT-TDOBJECT = 'PCAT_CTY'.
BASIC_TEXT-TDNAME = ZGUID.
BASIC_TEXT-TDID = '0001'.
BASIC_TEXT-TDSPRAS = 'EN'.
APPEND BASIC_TEXT.
loop at DAT.
BASICTEXT-TDFORMAT = '*'.
BASICTEXT-TDLINE = DAT-LIN.
APPEND BASICTEXT.
endloop.
refresh DAT.
loop at basictext.
if basictext-tdline cs '![CDATA['.
replace '![CDATA[' with space into basictext-tdline.
ENDIF.
modify basictext.
ENDLOOP.
loop at basictext.
if basictext-tdline cs ']]>'.
replace ']]>' with space into basictext-tdline.
modify basictext.
endif.
endloop.
CALL FUNCTION 'SAVE_TEXT'
EXPORTING
CLIENT = SY-MANDT
HEADER = BASIC_TEXT
INSERT = 'X'
SAVEMODE_DIRECT = 'X'
OWNER_SPECIFIED = ' '
LOCAL_CAT = ' '
IMPORTING
FUNCTION =
NEWHEADER = IT_THEAD
TABLES
LINES = BASICTEXT
EXCEPTIONS
ID = 1
LANGUAGE = 2
NAME = 3
OBJECT = 4
OTHERS = 5
IF SY-SUBRC <> 0.
MESSAGE ID SY-MSGID TYPE SY-MSGTY NUMBER SY-MSGNO
WITH SY-MSGV1 SY-MSGV2 SY-MSGV3 SY-MSGV4.
ENDIF.
CLEAR IT_THEAD.
IF SY-SUBRC = 0.
WRITE:/ 'DATA UPLOADED SUCCESSFULLY'.
ELSE.
WRITE:/ 'DATA NOT UPLOADED'.
ENDIF.
refresh jtab.
refresh DAT.
COUNT1 = 0.
clear v_str.
REFRESH BASICTEXT.
refresh dat.
close dataset p_file.
endloop.
open dataset errorfile for appending in text mode encoding default.
if sy-subrc = 0.
loop at it_error.
transfer it_error-err to errorfile.
endloop.
close dataset errorfile.
endif.
Is there any other FM which is similar to SAVE_TEXT?
That depends. Can you please provide some more info how the programs are linked:
several steps in batch planning
cascade of submits
and what kind of failure might occur:
shortdump
Kind Regards
Klaus
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thanqHi
no one select query won't take that mucj of time
may be that program went in infinite loop
please check with that
reward if useful
<b>below is the best way to write a select query</b>
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.
Points # 1/2
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
2. Select all the records in a single shot using into table clause of select statement rather than to use Append statements.
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.
4. For testing existence , use Select.. Up to 1 rows statement instead of a Select-Endselect-loop with an Exit.
5. Use Select Single if all primary key fields are supplied in the Where condition .
Point # 1
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.
Point # 2
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'.
Point # 3
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.
Point # 4
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.
Point # 5
If all primary key fields are supplied in the Where condition you can even use Select Single.
Select Single requires one communication with the database system, whereas Select-Endselect needs two.
Select Statements contd.. SQL Interface
1. Use column updates instead of single-row updates
to update your database tables.
2. For all frequently used Select statements, try to use an index.
3. Using buffered tables improves the performance considerably.
Point # 1
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.
Point # 2
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.
Point # 3
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 contd 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 contd 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 contd Select Over more than one Internal table
1. Its better to use a views instead of nested Select statements.
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.
3. Instead of using nested Select loops it is often better to use subqueries.
Point # 1
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
Point # 2
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.
Point # 3
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.
2. Always try to use binary search instead of linear search. But dont forget to sort your internal table before that.
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.
6. Modifying selected components using MODIFY itab TRANSPORTING f1 f2.. accelerates the task of updating a line of an internal table.
Point # 2
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 ) ).
Point # 3
READ TABLE ITAB INTO WA WITH KEY K = 'X'. IS FASTER THAN USING
READ TABLE ITAB INTO WA WITH KEY (NAME) = 'X'.
Point # 5
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.
Point # 6
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
8. If collect semantics is required, it is always better to use to COLLECT rather than READ BINARY and then ADD.
9. "APPEND LINES OF itab1 TO itab2" accelerates the task of appending a table to another table considerably as compared to LOOP-APPEND-ENDLOOP.
10. DELETE ADJACENT DUPLICATES accelerates the task of deleting duplicate entries considerably as compared to READ-LOOP-DELETE-ENDLOOP.
11. "DELETE itab FROM ... TO ..." accelerates the task of deleting a sequence of lines considerably as compared to DO -DELETE-ENDDO.
Point # 7
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.
Point # 8
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)) .
Point # 9
APPEND LINES OF ITAB1 TO ITAB2.
This is more optimized as compared to
LOOP AT ITAB1 INTO WA.
APPEND WA TO ITAB2.
ENDLOOP.
Point # 10
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.
Point # 11
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.
13. Specify the sort key as restrictively as possible to run the program faster.
Point # 12
ITAB2[] = ITAB1[].
This is much more optimized as compared to
REFRESH ITAB2.
LOOP AT ITAB1 INTO WA.
APPEND WA TO ITAB2.
ENDLOOP.
Point # 13
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.
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