Query performance when multiple single variable values selected

Hi Gurus,
I have a sales analysis report that I run with some complex selection criteria. One of the variables is the Sales Orgranisation.
If I run the report for individual sales organisations, the performance is excellant, results are dislayed in a matter of seconds. However, if I specify more than one sales organisation, the query will run and run and run.... until it eventually times out.
For example;
I run the report for SALEORG1 and the results are displayed in less than 1 minute.
I then run the report for SALEORG2 and again the results are displayed in less than 1 minute.
If I try to run the query for both SALEORG1 and SALEORG2, the report does not display any results but continues until it times out.
Anybody got any ideas on why this would be happening?
Any advise, gratefully accepted.
Regards,
David

While compression is generally something that you should be doing, I don't think it is a factor here, since query performance is OK when using just a sinlge value.
I would do two things - first make sure the DB stats for the cube are current. You might even consider increasing the sample rate for the stats collection if you are using one. You don't mention the DB you use, or what type of index is on Salesorg which could play a role. Does the query run against a multiprovider on top of multiple cubes, or is there just one cube involved.
If you still have problems after refreshing the stats, then I think the next step is to get a DB execution plan for the query by running the query from RSRT debugging mode when it is run with just one value and another when run with multiple values to see if the DB is doing something different - seek out your DBA if you are not familiar with executoin plan.

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Bobby,
if I right understood your situation, you have an input variable ZINPUT (related to a date 'A') and 2 others dates (yours Launch and Closing dates, 'B' and 'C').
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Create a new project, maintain the short text, and assign a development class.
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Poor query performance when joining CONTAINS to another table

We just recently began evaluating Oracle Text for a search solution. We need to be able to search a table that can have over 20+ million rows. Each user may only have visibility to a tiny fraction of those rows. The goal is to have a single Oracle Text index that represents all of the searchable columns in the table (multi column datastore) and provide a score for each search result so that we can sort the search results in descending order by score. What we're seeing is that query performance from TOAD is extremely fast when we write a simple CONTAINS query against the Oracle Text indexed table. However, when we attempt to first reduce the rows the CONTAINS query needs to search by using a WITH we find that the query performance degrades significantly.
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SELECT d.duns_loc
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AND pc.emp_id = :employeeID;
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SELECT score(1), d.*
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WITH subset
AS
(SELECT d.duns_loc
FROM duns d
JOIN primary_contact pc
ON d.duns_loc = pc.duns_loc
AND pc.emp_id = :employeeID
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FROM duns d
JOIN subset s
ON d.duns_loc = s.duns_loc
WHERE CONTAINS(TEXT_KEY, :search,1) > 0
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Thanks!!

Sometimes it can be good to separate the tables into separate sub-query factoring (with) clauses or inline views in the from clause or an in clause as a where condition. Although there are some differences, using a sub-query factoring (with) clause is similar to using an inline view in the from clause. However, you should avoid duplication. You should not have the same table in two different places, as in your original query. You should have indexes on any columns that the tables are joined on, your statistics should be current, and your domain index should have regular synchronization, optimization, and periodically rebuild or drop and recreate to keep it performing with maximum efficiency. The following demonstration uses a composite domain index (cdi) with filter by, as suggested by Roger, then shows the explained plans for your original query, and various others. Your original query has nested loops. All of the others have the same plan without the nested loops. You could also add index hints.
SCOTT@orcl_11gR2> -- tables:
SCOTT@orcl_11gR2> CREATE TABLE duns
2    (duns_loc NUMBER,
3      text_key VARCHAR2 (30))
4 /
Table created.
SCOTT@orcl_11gR2> CREATE TABLE primary_contact
2    (duns_loc NUMBER,
3      emp_id       NUMBER)
4 /
Table created.
SCOTT@orcl_11gR2> -- data:
SCOTT@orcl_11gR2> INSERT INTO duns VALUES (1, 'highway')
2 /
1 row created.
SCOTT@orcl_11gR2> INSERT INTO primary_contact VALUES (1, 1)
2 /
1 row created.
SCOTT@orcl_11gR2> INSERT INTO duns
2 SELECT object_id, object_name
3 FROM   all_objects
4 WHERE object_id > 1
5 /
76027 rows created.
SCOTT@orcl_11gR2> INSERT INTO primary_contact
2 SELECT object_id, namespace
3 FROM   all_objects
4 WHERE object_id > 1
5 /
76027 rows created.
SCOTT@orcl_11gR2> -- indexes:
SCOTT@orcl_11gR2> CREATE INDEX duns_duns_loc_idx
2 ON duns (duns_loc)
3 /
Index created.
SCOTT@orcl_11gR2> CREATE INDEX primary_contact_duns_loc_idx
2 ON primary_contact (duns_loc)
3 /
Index created.
SCOTT@orcl_11gR2> -- composite domain index (cdi) with filter by clause
SCOTT@orcl_11gR2> -- as suggested by Roger:
SCOTT@orcl_11gR2> CREATE INDEX duns_text_key_idx
2 ON duns (text_key)
3 INDEXTYPE IS CTXSYS.CONTEXT
4 FILTER BY duns_loc
5 /
Index created.
SCOTT@orcl_11gR2> -- gather statistics:
SCOTT@orcl_11gR2> EXEC DBMS_STATS.GATHER_TABLE_STATS (USER, 'DUNS')
PL/SQL procedure successfully completed.
SCOTT@orcl_11gR2> EXEC DBMS_STATS.GATHER_TABLE_STATS (USER, 'PRIMARY_CONTACT')
PL/SQL procedure successfully completed.
SCOTT@orcl_11gR2> -- variables:
SCOTT@orcl_11gR2> VARIABLE employeeid NUMBER
SCOTT@orcl_11gR2> EXEC :employeeid := 1
PL/SQL procedure successfully completed.
SCOTT@orcl_11gR2> VARIABLE search VARCHAR2(100)
SCOTT@orcl_11gR2> EXEC :search := 'highway'
PL/SQL procedure successfully completed.
SCOTT@orcl_11gR2> -- original query:
SCOTT@orcl_11gR2> SET AUTOTRACE ON EXPLAIN
SCOTT@orcl_11gR2> WITH
2    subset AS
3       (SELECT d.duns_loc
4        FROM      duns d
5        JOIN      primary_contact pc
6        ON      d.duns_loc = pc.duns_loc
7        AND      pc.emp_id = :employeeID)
8 SELECT score(1), d.*
9 FROM   duns d
10 JOIN   subset s
11 ON     d.duns_loc = s.duns_loc
12 WHERE CONTAINS (TEXT_KEY, :search,1) > 0
13 ORDER BY score(1) DESC
14 /
SCORE(1)   DUNS_LOC TEXT_KEY
        18          1 highway
1 row selected.
Execution Plan
Plan hash value: 4228563783
| Id | Operation                      | Name              | Rows | Bytes | Cost (%CPU)| Time     |
|   0 | SELECT STATEMENT               |                   |     2 |    84 |   121   (4)| 00:00:02 |
|   1 | SORT ORDER BY                 |                   |     2 |    84 |   121   (4)| 00:00:02 |
|* 2 |   HASH JOIN                    |                   |     2 |    84 |   120   (3)| 00:00:02 |
|   3 |    NESTED LOOPS                |                   |    38 | 1292 |    50   (2)| 00:00:01 |
|   4 |     TABLE ACCESS BY INDEX ROWID| DUNS              |    38 | 1102 |    11   (0)| 00:00:01 |
|* 5 |      DOMAIN INDEX              | DUNS_TEXT_KEY_IDX |       |       |     4   (0)| 00:00:01 |
|* 6 |     INDEX RANGE SCAN           | DUNS_DUNS_LOC_IDX |     1 |     5 |     1   (0)| 00:00:01 |
|* 7 |    TABLE ACCESS FULL           | PRIMARY_CONTACT   | 4224 | 33792 |    70   (3)| 00:00:01 |
Predicate Information (identified by operation id):
   2 - access("D"."DUNS_LOC"="PC"."DUNS_LOC")
   5 - access("CTXSYS"."CONTAINS"("D"."TEXT_KEY",:SEARCH,1)>0)
   6 - access("D"."DUNS_LOC"="D"."DUNS_LOC")
   7 - filter("PC"."EMP_ID"=TO_NUMBER(:EMPLOYEEID))
SCOTT@orcl_11gR2> -- queries with better plans (no nested loops):
SCOTT@orcl_11gR2> -- subquery factoring (with) clauses:
SCOTT@orcl_11gR2> WITH
2    subset1 AS
3       (SELECT pc.duns_loc
4        FROM      primary_contact pc
5        WHERE pc.emp_id = :employeeID),
6    subset2 AS
7       (SELECT score(1), d.*
8        FROM      duns d
9        WHERE CONTAINS (TEXT_KEY, :search,1) > 0)
10 SELECT subset2.*
11 FROM   subset1, subset2
12 WHERE subset1.duns_loc = subset2.duns_loc
13 ORDER BY score(1) DESC
14 /
SCORE(1)   DUNS_LOC TEXT_KEY
        18          1 highway
1 row selected.
Execution Plan
Plan hash value: 153618227
| Id | Operation                     | Name              | Rows | Bytes | Cost (%CPU)| Time     |
|   0 | SELECT STATEMENT              |                   |    38 | 1406 |    83   (5)| 00:00:01 |
|   1 | SORT ORDER BY                |                   |    38 | 1406 |    83   (5)| 00:00:01 |
|* 2 |   HASH JOIN                   |                   |    38 | 1406 |    82   (4)| 00:00:01 |
|   3 |    TABLE ACCESS BY INDEX ROWID| DUNS              |    38 | 1102 |    11   (0)| 00:00:01 |
|* 4 |     DOMAIN INDEX              | DUNS_TEXT_KEY_IDX |       |       |     4   (0)| 00:00:01 |
|* 5 |    TABLE ACCESS FULL          | PRIMARY_CONTACT   | 4224 | 33792 |    70   (3)| 00:00:01 |
Predicate Information (identified by operation id):
   2 - access("PC"."DUNS_LOC"="D"."DUNS_LOC")
   4 - access("CTXSYS"."CONTAINS"("TEXT_KEY",:SEARCH,1)>0)
   5 - filter("PC"."EMP_ID"=TO_NUMBER(:EMPLOYEEID))
SCOTT@orcl_11gR2> -- inline views (sub-queries in the from clause):
SCOTT@orcl_11gR2> SELECT subset2.*
2 FROM   (SELECT pc.duns_loc
3           FROM   primary_contact pc
4           WHERE pc.emp_id = :employeeID) subset1,
5          (SELECT score(1), d.*
6           FROM   duns d
7           WHERE CONTAINS (TEXT_KEY, :search,1) > 0) subset2
8 WHERE subset1.duns_loc = subset2.duns_loc
9 ORDER BY score(1) DESC
10 /
SCORE(1)   DUNS_LOC TEXT_KEY
        18          1 highway
1 row selected.
Execution Plan
Plan hash value: 153618227
| Id | Operation                     | Name              | Rows | Bytes | Cost (%CPU)| Time     |
|   0 | SELECT STATEMENT              |                   |    38 | 1406 |    83   (5)| 00:00:01 |
|   1 | SORT ORDER BY                |                   |    38 | 1406 |    83   (5)| 00:00:01 |
|* 2 |   HASH JOIN                   |                   |    38 | 1406 |    82   (4)| 00:00:01 |
|   3 |    TABLE ACCESS BY INDEX ROWID| DUNS              |    38 | 1102 |    11   (0)| 00:00:01 |
|* 4 |     DOMAIN INDEX              | DUNS_TEXT_KEY_IDX |       |       |     4   (0)| 00:00:01 |
|* 5 |    TABLE ACCESS FULL          | PRIMARY_CONTACT   | 4224 | 33792 |    70   (3)| 00:00:01 |
Predicate Information (identified by operation id):
   2 - access("PC"."DUNS_LOC"="D"."DUNS_LOC")
   4 - access("CTXSYS"."CONTAINS"("TEXT_KEY",:SEARCH,1)>0)
   5 - filter("PC"."EMP_ID"=TO_NUMBER(:EMPLOYEEID))
SCOTT@orcl_11gR2> -- ansi join:
SCOTT@orcl_11gR2> SELECT SCORE(1), duns.*
2 FROM   duns
3 JOIN   primary_contact
4 ON     duns.duns_loc = primary_contact.duns_loc
5 WHERE CONTAINS (duns.text_key, :search, 1) > 0
6 AND    primary_contact.emp_id = :employeeid
7 ORDER BY SCORE(1) DESC
8 /
SCORE(1)   DUNS_LOC TEXT_KEY
        18          1 highway
1 row selected.
Execution Plan
Plan hash value: 153618227
| Id | Operation                     | Name              | Rows | Bytes | Cost (%CPU)| Time     |
|   0 | SELECT STATEMENT              |                   |    38 | 1406 |    83   (5)| 00:00:01 |
|   1 | SORT ORDER BY                |                   |    38 | 1406 |    83   (5)| 00:00:01 |
|* 2 |   HASH JOIN                   |                   |    38 | 1406 |    82   (4)| 00:00:01 |
|   3 |    TABLE ACCESS BY INDEX ROWID| DUNS              |    38 | 1102 |    11   (0)| 00:00:01 |
|* 4 |     DOMAIN INDEX              | DUNS_TEXT_KEY_IDX |       |       |     4   (0)| 00:00:01 |
|* 5 |    TABLE ACCESS FULL          | PRIMARY_CONTACT   | 4224 | 33792 |    70   (3)| 00:00:01 |
Predicate Information (identified by operation id):
   2 - access("DUNS"."DUNS_LOC"="PRIMARY_CONTACT"."DUNS_LOC")
   4 - access("CTXSYS"."CONTAINS"("DUNS"."TEXT_KEY",:SEARCH,1)>0)
   5 - filter("PRIMARY_CONTACT"."EMP_ID"=TO_NUMBER(:EMPLOYEEID))
SCOTT@orcl_11gR2> -- old join:
SCOTT@orcl_11gR2> SELECT SCORE(1), duns.*
2 FROM   duns, primary_contact
3 WHERE CONTAINS (duns.text_key, :search, 1) > 0
4 AND    duns.duns_loc = primary_contact.duns_loc
5 AND    primary_contact.emp_id = :employeeid
6 ORDER BY SCORE(1) DESC
7 /
SCORE(1)   DUNS_LOC TEXT_KEY
        18          1 highway
1 row selected.
Execution Plan
Plan hash value: 153618227
| Id | Operation                     | Name              | Rows | Bytes | Cost (%CPU)| Time     |
|   0 | SELECT STATEMENT              |                   |    38 | 1406 |    83   (5)| 00:00:01 |
|   1 | SORT ORDER BY                |                   |    38 | 1406 |    83   (5)| 00:00:01 |
|* 2 |   HASH JOIN                   |                   |    38 | 1406 |    82   (4)| 00:00:01 |
|   3 |    TABLE ACCESS BY INDEX ROWID| DUNS              |    38 | 1102 |    11   (0)| 00:00:01 |
|* 4 |     DOMAIN INDEX              | DUNS_TEXT_KEY_IDX |       |       |     4   (0)| 00:00:01 |
|* 5 |    TABLE ACCESS FULL          | PRIMARY_CONTACT   | 4224 | 33792 |    70   (3)| 00:00:01 |
Predicate Information (identified by operation id):
   2 - access("DUNS"."DUNS_LOC"="PRIMARY_CONTACT"."DUNS_LOC")
   4 - access("CTXSYS"."CONTAINS"("DUNS"."TEXT_KEY",:SEARCH,1)>0)
   5 - filter("PRIMARY_CONTACT"."EMP_ID"=TO_NUMBER(:EMPLOYEEID))
SCOTT@orcl_11gR2> -- in clause:
SCOTT@orcl_11gR2> SELECT SCORE(1), duns.*
2 FROM   duns
3 WHERE CONTAINS (duns.text_key, :search, 1) > 0
4 AND    duns.duns_loc IN
5          (SELECT primary_contact.duns_loc
6           FROM   primary_contact
7           WHERE primary_contact.emp_id = :employeeid)
8 ORDER BY SCORE(1) DESC
9 /
SCORE(1)   DUNS_LOC TEXT_KEY
        18          1 highway
1 row selected.
Execution Plan
Plan hash value: 3825821668
| Id | Operation                     | Name              | Rows | Bytes | Cost (%CPU)| Time     |
|   0 | SELECT STATEMENT              |                   |    38 | 1406 |    83   (5)| 00:00:01 |
|   1 | SORT ORDER BY                |                   |    38 | 1406 |    83   (5)| 00:00:01 |
|* 2 |   HASH JOIN SEMI              |                   |    38 | 1406 |    82   (4)| 00:00:01 |
|   3 |    TABLE ACCESS BY INDEX ROWID| DUNS              |    38 | 1102 |    11   (0)| 00:00:01 |
|* 4 |     DOMAIN INDEX              | DUNS_TEXT_KEY_IDX |       |       |     4   (0)| 00:00:01 |
|* 5 |    TABLE ACCESS FULL          | PRIMARY_CONTACT   | 4224 | 33792 |    70   (3)| 00:00:01 |
Predicate Information (identified by operation id):
   2 - access("DUNS"."DUNS_LOC"="PRIMARY_CONTACT"."DUNS_LOC")
   4 - access("CTXSYS"."CONTAINS"("DUNS"."TEXT_KEY",:SEARCH,1)>0)
   5 - filter("PRIMARY_CONTACT"."EMP_ID"=TO_NUMBER(:EMPLOYEEID))
SCOTT@orcl_11gR2>

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APPEND L_S_RANGE TO E_T_RANGE.
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| Id | Operation                            | Name                   | Rows | Bytes |TempSpc| Cost (%CPU)| Time     |
|   0 | SELECT STATEMENT                     |                        | 7611M|   907G|       |   352M (1)|999:59:59 |
|   1 | HASH UNIQUE                         |                        | 7611M|   907G| 2155G|   352M (1)|999:59:59 |
|* 2 |   HASH JOIN                          |                        | 9343M| 1113G|       |    22M (2)| 76:31:45 |
|   3 |    TABLE ACCESS FULL                 | table2           | 1088 | 17408 |       |     7   (0)| 00:00:0
|   4 |    NESTED LOOPS                      |                        | 8468M|   883G|       |    22M (1)| 76:15:57 |
|   5 |     MERGE JOIN CARTESIAN             |                        | 1037K|   108M|       | 4040   (1)| 00:00:49 |
|   6 |      TABLE ACCESS FULL               | D_V        | 1127 | 87906 |       |    56   (0)| 00
|   7 |      BUFFER SORT                     |                        |   921 | 29472 |       | 3984   (1)| 00:00:48 |
|   8 |       TABLE ACCESS FULL              | table1                   |   921 | 29472 |       |     4   (0)| 00:00:01 |
|* 9 |     COLLECTION ITERATOR PICKLER FETCH| XMLSEQUENCEFROMXMLTYPE |       |       |       |
Predicate Information (identified by operation id):
   2 - access("t2"."L_ID"="t1"."L_ID")
   9 - filter(TO_CHAR("t1"."L_ID")<>"XMLTYPE"."GETSTRINGVAL"("XMLTYPE"."EXTRACT"(VALUE(KOKB
              alue/text()')))Message was edited by:
M@$$@cHu$eTt$

Slow performance when multiple threads access static variable

Originally, I was trying to keep track of the number of function calls for a specific function that was called across many threads. I initially implemented this by incrementing a static variable, and noticed some pretty horrible performance. Does anyone have an ideas?
(I know this code is "incorrect" since increments are not atomic, even with a volatile keyword)
Essentially, I'm running two threads that try to increment a variable a billion times each. The first time through, they increment a shared static variable. As expected, the result is wrong 1339999601 instead of 2 billion, but the funny thing is it takes about 14 seconds. Now, the second time through, they increment a local variable and add it to the static variable at the end. This runs correctly (assuming the final increment doesn't interleave which is highly unprobable) and runs in about a second.
Why the performance hit? I'm not even using volatile (just for refernce if I make the variable volatile runtime hits about 30 seconds)
Again I realize this code is incorrect, this is purely an interesting side-expirement.
package gui;
public class SlowExample implements Runnable
     public static void main(String[] args)
          SlowExample se1 = new SlowExample(1, true);
          SlowExample se2 = new SlowExample(2, true);
          Thread t1 = new Thread(se1);
          Thread t2 = new Thread(se2);
          try
               long time = System.nanoTime();
               t1.start();
               t2.start();
               t1.join();
               t2.join();
               time = System.nanoTime() - time;
               System.out.println(count + " - " + time/1000000000.0);
               Thread.sleep(100);
          catch (InterruptedException e)
               e.printStackTrace();
          count = 0;
          se1 = new SlowExample(1, false);
          se2 = new SlowExample(2, false);
          t1 = new Thread(se1);
          t2 = new Thread(se2);
          try
               long time = System.nanoTime();
               t1.start();
               t2.start();
               t1.join();
               t2.join();
               time = System.nanoTime() - time;
               System.out.println(count + " - " + time/1000000000.0);
          catch (InterruptedException e)
               e.printStackTrace();
           * Results:
           * 1339999601 - 14.25520115
           * 2000000000 - 1.102497384
     private static int count = 0;
     public int ID;
     boolean loopType;
     public SlowExample(int ID, boolean loopType)
          this.ID = ID;
          this.loopType = loopType;
     public void run()
          if (loopType)
               //billion times
               for (int a=0;a<1000000000;a++)
                    count++;
          else
               int count1 = 0;
               //billion times
               for (int a=0;a<1000000000;a++)
                    count1++;
               count += count1;
}

Peter__Lawrey wrote:
Your computer has different types of memory
- registers
- level 1 cache
- level 2 cache
- main memory.
- non CPU local main memory (if you have multiple CPUs with their own memory banks)
These memory types have different speeds. Depending on how you use a variable affects which memory it is placed in.Plus you have the hotspot compiler kicking in sometime during the run. In other words for some time the VM is interpreting the code and then all of a sudden its compiled and executing the code compiled. Reliable micro benchmarking in java is not easy. See [Robust Java benchmarking, Part 1: Issues|http://www.ibm.com/developerworks/java/library/j-benchmark1.html]

Bex. Query in 3.5 : All Variable values using Text Elements not shown

I am using a Variable, for which I am suppose to select more than 15 values . After executing the report, I am trying look for these values using Layout--> Display Text Elements --> All.
Only first 10-11 values are shown and the rest are shown as ...
As such, I cannot see all the values in WAD too, in the info tab.
Is there any limitations to display the values with text elements ?
Any idea how to display all the values ?
Thanks

You are right. I can do this if I select Filter values.
But, I am trying to show the values entered for the variables using Layout-->Display Text elements --. Alll or variables.
These are the values shown in the web template. The filter values goes to the data analysis tab, which are fine.
I want to display all the values in the information tab, but only few values are show and rest are shown as ... The same is the case when I select Layout-->Display Text elements --> All or variables. after I execute the query.

Performance when using bind variables

I'm trying to show myself that bind variables improve performance (I believe it, I just want to see it).
I've created a simple table of 100,000 records each row a single column of type integer. I populate it with a number between 1 and 100,000
Now, with a JAVA program I delete 2,000 of the records by performing a loop and using the loop counter in my where predicate.
My first JAVA program runs without using bind variables as follows:
loop
stmt.executeUpdate("delete from nobind_test where id = " + i);
end loop
My second JAVA program uses bind variables as follows:
pstmt = conn.prepareStatement("delete from bind_test where id = ?");
loop
pstmt.setString(1, String.valueof(i));
rs = pstmt.executeQuery();
end loop;
Monitoring of v$SQL shows that program one doesn't use bind variables, and program two does use bind variables.
The trouble is that the program that does not use bind variables runs faster than the bind variable program.
Can anyone tell me why this would be? Is my test too simple?
Thanks.

[email protected] wrote:
I'm trying to show myself that bind variables improve performance (I believe it, I just want to see it).
I've created a simple table of 100,000 records each row a single column of type integer. I populate it with a number between 1 and 100,000
Now, with a JAVA program I delete 2,000 of the records by performing a loop and using the loop counter in my where predicate.
Monitoring of v$SQL shows that program one doesn't use bind variables, and program two does use bind variables.
The trouble is that the program that does not use bind variables runs faster than the bind variable program.
Can anyone tell me why this would be? Is my test too simple?
The point is that you have to find out where your test is spending most of the time.
If you've just populated a table with 100,000 records and then start to delete randomly 2,000 of them, the database has to perform a full table scan for each of the records to be deleted.
So probably most of the time is spent scanning the table over and over again, although most of blocks might already be in your database buffer cache.
The difference between the hard parse and the soft parse of such a simple statement might be negligible compared to effort it takes to fulfill each delete execution.
You might want to change the setup of your test: Add a primary key constraint to your test table and delete the rows using this primary key as predicate. Then the time it takes to locate the row to delete should be negligible compared to the hard parse / soft parse difference.
You probably need to increase your iteration count because deleting 2,000 records this way probably takes too short and introduces measuring issues. Try to delete more rows, then you should be able to spot a significant and constant difference between the two approaches.
In order to prevent any performance issues from a potentially degenerated index due to numerous DML activities, you could also just change your test case to query for a particular column of the row corresponding to your predicate rather than deleting it.
Regards,
Randolf
Oracle related stuff blog:
http://oracle-randolf.blogspot.com/
SQLTools++ for Oracle (Open source Oracle GUI for Windows):
http://www.sqltools-plusplus.org:7676/
http://sourceforge.net/projects/sqlt-pp/

How to improve query performance when query with mtart

hi all,
I need to know what is the best way to query out MATNR when i have values for MTART and WERKS?
When a user select a MTART and WERKS, a whole bunch of MATNR related to them are display out. How do i improve this query so that it does not take a long time?
Thanks
Willliam Wilstroth

Is that what you are looking for???
select a~matnr a~mtart ... b~werks ...
       into table <itab>
       from mara as a
       inner join marc as b
       on a~matnr = b~matnr
       where mtart = p_mtart
       and   werks = p_werks.
There is an index on MTART in table MARA.
<b>T           Material Type</b>
Kind Regards
Eswar

Query performance when multiple single variable values selected

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