Nested loop Mapping in XSLT

Hi
I am using this XSLT mapping with the source and target structure as same, since i need to include some constants in it.I am doing more than two nesting for loop. Since it is the same structure it looks simple. But i cannot produce the nested output.
the XSL am using :
<b><xsl:for-each select="products/vendor/product"></b>
  <xsl:element name="product">
  <xsl:value-of select="products/vendor/product" />
   <b>  <xsl:for-each select="products/vendor/product/attribute"></b>
         <xsl:element name="products/vendor/product/attribute">
         <xsl:value-of select="products/vendor/product/attribute" />
         <attribute operation="" attributeId="" name="" language="" endpointid="" xsi:type=""/>
         </xsl:element>
        <b> </xsl:for-each></b>
</xsl:element>
<b></xsl:for-each></b>
Need the output like
<product >
<attribute name="ADA Compliant">Y</attribute>
<attribute name="" type=" ">32.750</attribute>
<attribute name="" type=" ">19.750 in</attribute>
<attribute name="" type=" ">No</attribute>
<attribute name="" type=" ">65.000</attribute>
</product>
I am not sure what is wrong in the XSLT. Any pointers on this.
Regards
Anandan
Message was edited by:
        Anandan Loganathan

Hi
Have a look
https://www.sdn.sap.com/irj/sdn/go/portal/prtroot/docs/library/uuid/01a57f0b-0501-0010-3ca9-d2ea3bb983c1
https://www.sdn.sap.com/irj/sdn/go/portal/prtroot/docs/library/uuid/9692eb84-0601-0010-5ca0-923b4fb8674a
https://www.sdn.sap.com/irj/sdn/go/portal/prtroot/docs/library/uuid/006aa890-0201-0010-1eb1-afc5cbae3f15
Some scenarios
/people/sap.user72/blog/2005/03/15/using-xslt-mapping-in-a-ccbpm-scenario
/people/anish.abraham2/blog/2005/12/22/file-to-multiple-idocs-xslt-mapping
Thanks

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    > <node label="test.url" url="
    http://www." pic="ie" info="test text" />
    > <node label="test.doc" url="test.doc" pic="word"
    info="test text" />
    > <node label="test.excel" url="test.xls" pic="excel"
    info="test text" />
    > <node label="test.pdf" url="test.pdf" pic="pdf"
    info="test text." />
    > </node>
    > <node label="» Links - document">
    > <node label="test URL" url="
    http://www." pic="ie" info="test text."
    />
    > <node label="test URL" url="
    http://www." pic="ie" info="test text."
    />
    > </node>
    > </node>
    >

  • Too many nested loops in execution plan?

    Hi,
    i wonder about execution plan not indicating that access to some tables (for join) is in parallel.
    Please see this example:
    ------------------------ snip ------------------------------------
    drop table test_a1;
    drop table test_a2;
    drop table test_b;
    drop table test_c;
    drop table test_d;
    create table test_a1 (
    x number,
    y number,
    z number);
    create unique index testa1_pk on test_a1 (x);
    create table test_a2 (
    x number,
    y number,
    z number);
    create unique index testa2_pk on test_a2 (x);
    create table test_b (
    x number,
    y number,
    z number);
    create unique index testb_pk on test_b (y);
    create table test_c (
    x number,
    y number,
    z number);
    create unique index testc_pk on test_b (z);
    create table test_d (
    x number,
    y number,
    z number);
    create unique index testd_pk on test_d (y);
    select
    a1.x a1_x,
    a1.y a1_y,
    a1.z a1_z,
    a2.x a2_x,
    a2.y a2_y,
    a2.z a2_z,
    b.x b_x,
    b.y b_y,
    b.z b_z,
    c.x c_x,
    c.y c_y,
    c.z c_z,
    d.x d_x,
    d.y d_y,
    d.z d_z
    from test_a1 a1, test_a2 a2, test_b b, test_c c, test_d d
    where a1.x = 100
    and a2.x = 200
    and b.y = a1.y
    and c.z = b.z
    and d.y = a1.y;
    ------------------------ snap ------------------------------------
    The execution plan goes like this:
    Select Stmt
         nested loops
              nested loops
                   nested loops
                        nested loops
                             table access
                                  index
                                       access predicate
                                            a2.x = 200
                             table access
                                  index
                                       access predicate
                                            a1.x = 100
                        table access
                             index
                                  access predicate
                                       d.y = a1.y
                   table access
                        index
                             access predicate
                                  b.y = a1.y
              table acess
                   index
                        acess predicate
                             c.z = b.z
    Access to tables a1 and a2 is on the same level (in parallel - i guess).
    However, why isn't access to table d and b on the same level?
    Both depend on a1. So no need to execute one after the other (no inter-dependency).
    Maybe i have just wrong expectation to the output of the execution plan(?!)
    - many thanks!
    best regards,
    Frank

    Preservation of identation and spacing is invaluable when it comes to reading an explain plan.
    | Id  | Operation                       | Name      | Rows  | Bytes | Cost (%CPU)| Time     |
    |   0 | SELECT STATEMENT                |           |     1 |   195 |     2   (0)| 00:00:01 |
    |   1 |  NESTED LOOPS                   |           |     1 |   195 |     2   (0)| 00:00:01 |
    |   2 |   NESTED LOOPS                  |           |     1 |   156 |     0   (0)| 00:00:01 |
    |   3 |    NESTED LOOPS                 |           |     1 |   117 |     0   (0)| 00:00:01 |
    |   4 |     NESTED LOOPS                |           |     1 |    78 |     0   (0)| 00:00:01 |
    |   5 |      TABLE ACCESS BY INDEX ROWID| TEST_A2   |     1 |    39 |     0   (0)| 00:00:01 |
    |*  6 |       INDEX UNIQUE SCAN         | TESTA2_PK |     1 |       |     0   (0)| 00:00:01 |
    |   7 |      TABLE ACCESS BY INDEX ROWID| TEST_A1   |     1 |    39 |     0   (0)| 00:00:01 |
    |*  8 |       INDEX UNIQUE SCAN         | TESTA1_PK |     1 |       |     0   (0)| 00:00:01 |
    |   9 |     TABLE ACCESS BY INDEX ROWID | TEST_D    |    82 |  3198 |     0   (0)| 00:00:01 |
    |* 10 |      INDEX UNIQUE SCAN          | TESTD_PK  |     1 |       |     0   (0)| 00:00:01 |
    |  11 |    TABLE ACCESS BY INDEX ROWID  | TEST_B    |    82 |  3198 |     0   (0)| 00:00:01 |
    |* 12 |     INDEX UNIQUE SCAN           | TESTB_PK  |     1 |       |     0   (0)| 00:00:01 |
    |* 13 |   TABLE ACCESS FULL             | TEST_C    |     1 |    39 |     2   (0)| 00:00:01 |
    Predicate Information (identified by operation id):
       6 - access("A2"."X"=200)
       8 - access("A1"."X"=100)
      10 - access("D"."Y"="A1"."Y")
      12 - access("B"."Y"="A1"."Y")
      13 - filter("C"."Z"="B"."Z")
    Access to tables a1 and a2 is on the same level (in parallel - i guess).
    Maybe i have just wrong expectation to the output of the execution plan(?!)You guess wrong, there's nothing parallel going on here.
    Execution plan is a tree of parent-child operations.
    For example, the NESTED LOOP at operation 4 has two children @ 5 and 7.
    Both of these operations- 5 & 7 - have a single child operation.
    The execution tree starts with operation 6, using the TESTA2_PK index to identify rows where A2.X=100.
    From this list of rowids, we go to the table TEST_A2 operation 5.
    The rows from operation five feed into the NESTED LOOP - operation 4.
    For each of these rows, we go to TEST_A1 via the index TEST_A1_PK for rows where A1.X=100.
    This is really a cartesian join because there's no join condition between the two tables.
    etc, etc, etc
    Three things in particular to point out.
    Firstly, that nothing joins to A2. So there will be a cartesian product - i.e. for every row in the result set between the joined tables A1, B, C and D, these will be multiplied by the number of rows returned by the the A2 rowsource.
    Secondly, when everything has got one or zero rows (or the optimizer thinks that it's one or zero rows), you can get very different plans from when there are known/thought to be more rows.
    Both depend on a1. So no need to execute one after the other (no inter-dependency).Thirdly, in terms of isolated join operations (ignoring A2 and C for the moment), A1 cannot join to B and D at the same time, you can either join A1 to B and then join the result of that to D, or join A1 to D then B, which is what you've got in your plan (well, actually we have A2 joined to A1 then the result of that joined to D and then the result of that to B).
    Edited by: Dom Brooks on Jul 6, 2011 4:07 PM
    Corrected typo

  • Why optimizer prefers nested loop over hash join?

    What do I look for if I want to find out why the server prefers a nested loop over hash join?
    The server is 10.2.0.4.0.
    The query is:
    SELECT p.*
        FROM t1 p, t2 d
        WHERE d.emplid = p.id_psoft
          AND p.flag_processed = 'N'
          AND p.desc_pool = :b1
          AND NOT d.name LIKE '%DUPLICATE%'
          AND ROWNUM < 2tkprof output is:
    Production
    call     count       cpu    elapsed       disk      query    current        rows
    Parse        1      0.01       0.00          0          0          4           0
    Execute      1      0.00       0.01          0          4          0           0
    Fetch        1    228.83     223.48          0    4264533          0           1
    total        3    228.84     223.50          0    4264537          4           1
    Misses in library cache during parse: 1
    Optimizer mode: ALL_ROWS
    Parsing user id: 108  (SANJEEV)
    Rows     Row Source Operation
          1  COUNT STOPKEY (cr=4264533 pr=0 pw=0 time=223484076 us)
          1   NESTED LOOPS  (cr=4264533 pr=0 pw=0 time=223484031 us)
      10401    TABLE ACCESS FULL T1 (cr=192 pr=0 pw=0 time=228969 us)
          1    TABLE ACCESS FULL T2 (cr=4264341 pr=0 pw=0 time=223182508 us)Development
    call     count       cpu    elapsed       disk      query    current        rows
    Parse        1      0.01       0.00          0          0          0           0
    Execute      1      0.00       0.01          0          4          0           0
    Fetch        1      0.05       0.03          0        512          0           1
    total        3      0.06       0.06          0        516          0           1
    Misses in library cache during parse: 1
    Optimizer mode: ALL_ROWS
    Parsing user id: 113  (SANJEEV)
    Rows     Row Source Operation
          1  COUNT STOPKEY (cr=512 pr=0 pw=0 time=38876 us)
          1   HASH JOIN  (cr=512 pr=0 pw=0 time=38846 us)
         51    TABLE ACCESS FULL T2 (cr=492 pr=0 pw=0 time=30230 us)
        861    TABLE ACCESS FULL T1 (cr=20 pr=0 pw=0 time=2746 us)

    sanjeevchauhan wrote:
    What do I look for if I want to find out why the server prefers a nested loop over hash join?
    The server is 10.2.0.4.0.
    The query is:
    SELECT p.*
    FROM t1 p, t2 d
    WHERE d.emplid = p.id_psoft
    AND p.flag_processed = 'N'
    AND p.desc_pool = :b1
    AND NOT d.name LIKE '%DUPLICATE%'
    AND ROWNUM < 2
    You've got already some suggestions, but the most straightforward way is to run the unhinted statement in both environments and then force the join and access methods you would like to see using hints, in your case probably "USE_HASH(P D)" in your production environment and "FULL(P) FULL(D) USE_NL(P D)" in your development environment should be sufficient to see the costs and estimates returned by the optimizer when using the alternate access and join patterns.
    This give you a first indication why the optimizer thinks that the chosen access path seems to be cheaper than the obviously less efficient plan selected in production.
    As already mentioned by Hemant using bind variables complicates things a bit since EXPLAIN PLAN is not reliable due to bind variable peeking performed when executing the statement, but not when explaining.
    Since you're already on 10g you can get the actual execution plan used for all four variants using DBMS_XPLAN.DISPLAY_CURSOR which tells you more than the TKPROF output in the "Row Source Operation" section regarding the estimates and costs assigned.
    Of course the result of your whole exercise might be highly dependent on the actual bind variable value used.
    By the way, your statement is questionable in principle since you're querying for the first row of an indeterministic result set. It's not deterministic since you've defined no particular order so depending on the way Oracle executes the statement and the physical storage of your data this query might return different results on different runs.
    This is either an indication of a bad design (If the query is supposed to return exactly one row then you don't need the ROWNUM restriction) or an incorrect attempt of a Top 1 query which requires you to specify somehow an order, either by adding a ORDER BY to the statement and wrapping it into an inline view, or e.g. using some analytic functions that allow you specify a RANK by a defined ORDER.
    This is an example of how a deterministic Top N query could look like:
    SELECT
    FROM
    SELECT p.*
        FROM t1 p, t2 d
        WHERE d.emplid = p.id_psoft
          AND p.flag_processed = 'N'
          AND p.desc_pool = :b1
          AND NOT d.name LIKE '%DUPLICATE%'
    ORDER BY <order_criteria>
    WHERE ROWNUM <= 1;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/

  • Nested loop vs Hash Join

    Hi,
    Both the querys are returning same results, but in my first query hash join and second query nested loop . How ? PLs explain
    select *
    from emp a,dept b
    where a.deptno=b.deptno and b.deptno>20;
    6 rows
    Plan hash value: 4102772462
    | Id  | Operation                    | Name    | Rows  | Bytes | Cost (%CPU)| Time     |
    |   0 | SELECT STATEMENT             |         |     6 |   348 |     6  (17)| 00:00:01 |
    |*  1 |  HASH JOIN                   |         |     6 |   348 |     6  (17)| 00:00:01 |
    |   2 |   TABLE ACCESS BY INDEX ROWID| DEPT    |     3 |    60 |     2   (0)| 00:00:01 |
    |*  3 |    INDEX RANGE SCAN          | PK_DEPT |     3 |       |     1   (0)| 00:00:01 |
    |*  4 |   TABLE ACCESS FULL          | EMP     |     7 |   266 |     3   (0)| 00:00:01 |
    Predicate Information (identified by operation id):
       1 - access("A"."DEPTNO"="B"."DEPTNO")
       3 - access("B"."DEPTNO">20)
       4 - filter("A"."DEPTNO">20)
    select *
    from emp a,dept b
    where a.deptno=b.deptno and b.deptno=30;  
    6 rows
    Plan hash value: 568005898
    | Id  | Operation                    | Name    | Rows  | Bytes | Cost (%CPU)| Time     |
    |   0 | SELECT STATEMENT             |         |     5 |   290 |     4   (0)| 00:00:01 |
    |   1 |  NESTED LOOPS                |         |     5 |   290 |     4   (0)| 00:00:01 |
    |   2 |   TABLE ACCESS BY INDEX ROWID| DEPT    |     1 |    20 |     1   (0)| 00:00:01 |
    |*  3 |    INDEX UNIQUE SCAN         | PK_DEPT |     1 |       |     0   (0)| 00:00:01 |
    |*  4 |   TABLE ACCESS FULL          | EMP     |     5 |   190 |     3   (0)| 00:00:01 |
    Predicate Information (identified by operation id):
       3 - access("B"."DEPTNO"=30)
       4 - filter("A"."DEPTNO"=30)

    Hi,
    Unless specifically requested, Oracle picks the best execution plan based on estimates of table sizes, column selectivity and many other variables. Even though Oracle does its best to have the estimates as accurate as possible, they are frequently different, and in some cases quite different, from the actual values.
    In the first query, Oracle estimated that the predicate “ b.deptno>20” would limit the number of records to 6, and based on that it decided the use Hash Join.
    In the second query, Oracle estimated that the predicate “b.deptno=30” would limit the number of records to 5, and based on that it decided the use Nested Loops Join.
    The fact that the actual number of records is the same is irrelevant because Oracle used the estimate, rather the actual number of records to pick the best plan.
    HTH,
    Iordan
    Iotzov

  • Hash join vs nested loop

    DECLARE @tableA table (Productid varchar(20),Product varchar(20),RateID int)
    insert into @tableA values('1','Mobile',2);
    insert into @tableA values('2','Chargers',4);
    insert into @tableA values('3','Stand',6);
    insert into @tableA values('4','Adapter',8);
    insert into @tableA values('5','Cover',10);
    insert into @tableA values('6','Protector',12);
    --SELECT * FROM @tableA
    DECLARE @tableB table (id varchar(20),RateID int,Rate int)
    insert into @tableB values('1',2,200);
    insert into @tableB values('2',4,40);
    insert into @tableB values('3',6,60);
    insert into @tableB values('4',8,80);
    insert into @tableB values('5',10,10);
    insert into @tableB values('6',12,15);
    --SELECT * FROM @tableB
    SELECT Product,Rate
    FROM @tableA a
    JOIN @tableB b ON a.RateID = b.RateID
    Above is the sample query, where in execution plan it shows the Hash Match (inner Join). Now how do I change it to Nested Loop with out changing the query? help plz

    Is Hash Match(inner join) or Nested loop is better to have in the query?
    That depends on the size of the tables, available indexes etc. The optimizer will (hopefully) make the best choice.
    Above is the sample query, where in execution plan it shows the Hash Match (inner Join). Now how do I change it to Nested Loop with out changing the query?
    The answer that you should leave that to the optimizer in most cases.
    I see that the logical read for nested loop is higher than Hash Match.
    But Hash Match tends to need more CPU. The best way to two compare two queries or plans is wallclock time.
    On a big tables, how do we reduce the logical read? 
    Make sure that there are usable indexes.
    Erland Sommarskog, SQL Server MVP, [email protected]

  • HASH JOIN or NESTED LOOP

    I've been asked to check if HASH JOIN is more suitable than NESTED LOOP(which CBO chose by default) for the following query.
    SELECT CM_DETAILS.TASK_ID FROM GEN_TYPE, CM_DETAILS WHERE ( ( ( ( ( CM_DETAILS.STAT_CODE < 8 ) AND ( GEN_TYPE.TASK_ID = CM_DETAILS.TASK_ID ) ) AND ( GEN_TYPE.DEST_LOCN_ID = 5 ) ) AND ( GEN_TYPE.COM_ID = 7 ) ) AND ( ( ( CM_DETAILS.CASE_NO = 1 ) OR ( CM_DETAILS.CASE_NO = 3 ) ) OR ( CM_DETAILS.CASE_NO = 9 ) ) )
    Both GEN_TYPE and CM_DETAILS tables have over 330,000 rows.
    Version: 10g R2
    Any thoughts?

    As gintsp gave you very nice tip but there is initialization parameter "     OPTIMIZER_INDEX_COST_ADJ" which cause what path to be chose for CBO,but usually expert says for changing init paramter setting should be at last resort.
    It has default value of 100 which indicates to the CBO that indexed access is 100% as costly (i.e., equally costly) as FULL table scan access.
    SQL> column plan_plus_exp format a100
    SQL> set linesize 1000
    SQL> SET AUTOTRACE TRACEONLY
    SQL> SELECT e.ename,d.dname
      2    FROM emp e,dept d
      3   WHERE e.deptno=d.deptno
      4  /
    14 rows selected.
    Execution Plan
       0      SELECT STATEMENT Optimizer=ALL_ROWS (Cost=7 Card=10 Bytes=320)
       1    0   HASH JOIN (Cost=7 Card=10 Bytes=320)
       2    1     TABLE ACCESS (FULL) OF 'DEPT' (TABLE) (Cost=3 Card=5 Bytes=90)
       3    1     TABLE ACCESS (FULL) OF 'EMP' (TABLE) (Cost=3 Card=14 Bytes=196)
    Statistics
            672  recursive calls
              0  db block gets
            151  consistent gets
             27  physical reads
              0  redo size
            793  bytes sent via SQL*Net to client
            508  bytes received via SQL*Net from client
              2  SQL*Net roundtrips to/from client
             15  sorts (memory)
              0  sorts (disk)
             14  rows processed
    SQL> /
    14 rows selected.
    Execution Plan
       0      SELECT STATEMENT Optimizer=ALL_ROWS (Cost=7 Card=10 Bytes=320)
       1    0   HASH JOIN (Cost=7 Card=10 Bytes=320)
       2    1     TABLE ACCESS (FULL) OF 'DEPT' (TABLE) (Cost=3 Card=5 Bytes=90)
       3    1     TABLE ACCESS (FULL) OF 'EMP' (TABLE) (Cost=3 Card=14 Bytes=196)
    Statistics
              0  recursive calls
              0  db block gets
             15  consistent gets
              0  physical reads
              0  redo size
            793  bytes sent via SQL*Net to client
            508  bytes received via SQL*Net from client
              2  SQL*Net roundtrips to/from client
              0  sorts (memory)
              0  sorts (disk)
             14  rows processed
    SQL> SHOW PARAMETER optimizer
    NAME                                 TYPE                             VALUE
    optimizer_dynamic_sampling           integer                          2
    optimizer_features_enable            string                           10.1.0
    optimizer_index_caching              integer                          0
    optimizer_index_cost_adj             integer                          100<--------
    optimizer_mode                       string                           ALL_ROWS
    SQL> ALTER SESSION SET optimizer_index_cost_adj=35
      2  /
    Session altered.
    SQL> SELECT e.ename,d.dname
      2    FROM emp e,dept d
      3   WHERE e.deptno=d.deptno
      4  /
    14 rows selected.
    Execution Plan
       0      SELECT STATEMENT Optimizer=ALL_ROWS (Cost=5 Card=10 Bytes=320)
       1    0   MERGE JOIN (Cost=5 Card=10 Bytes=320)
       2    1     TABLE ACCESS (BY INDEX ROWID) OF 'DEPT' (TABLE) (Cost=1 Card=5 Bytes=90)
       3    2       INDEX (FULL SCAN) OF 'DEPT_PRIMARY_KEY' (INDEX (UNIQUE)) (Cost=1 Card=5)
       4    1     SORT (JOIN) (Cost=4 Card=14 Bytes=196)
       5    4       TABLE ACCESS (FULL) OF 'EMP' (TABLE) (Cost=3 Card=14 Bytes=196)
    Statistics
              1  recursive calls
              0  db block gets
             11  consistent gets
              1  physical reads
              0  redo size
            733  bytes sent via SQL*Net to client
            508  bytes received via SQL*Net from client
              2  SQL*Net roundtrips to/from client
              1  sorts (memory)
              0  sorts (disk)
             14  rows processed
    SQL> /
    14 rows selected.
    Execution Plan
       0      SELECT STATEMENT Optimizer=ALL_ROWS (Cost=5 Card=10 Bytes=320)
       1    0   MERGE JOIN (Cost=5 Card=10 Bytes=320)
       2    1     TABLE ACCESS (BY INDEX ROWID) OF 'DEPT' (TABLE) (Cost=1 Card=5 Bytes=90)
       3    2       INDEX (FULL SCAN) OF 'DEPT_PRIMARY_KEY' (INDEX (UNIQUE)) (Cost=1 Card=5)
       4    1     SORT (JOIN) (Cost=4 Card=14 Bytes=196)
       5    4       TABLE ACCESS (FULL) OF 'EMP' (TABLE) (Cost=3 Card=14 Bytes=196)
    Statistics
              0  recursive calls
              0  db block gets
             11  consistent gets
              0  physical reads
              0  redo size
            733  bytes sent via SQL*Net to client
            508  bytes received via SQL*Net from client
              2  SQL*Net roundtrips to/from client
              1  sorts (memory)
              0  sorts (disk)
             14  rows processedKhurram

  • Oracle 11g - Nested loops on outer joins

    Hello,
    I have a select query that was working with no problems. The results are used to insert data into a temp table.
    Recently, it would not complete executing. The explain plan shows a cartesian. But, there could be problems with using nested loops on the outer join. Interestingly, when I copy production code and rename the temp table and rename the view, it works.
    Can someone take a look at the code and help. Maybe offer a suggestion on tuning too? Thanks.
    CREATE TABLE "CT"
    ( "TN" VARCHAR2(30) NOT NULL ENABLE,
    "COL_NAME" VARCHAR2(30) NOT NULL ENABLE,
    "CDE" VARCHAR2(5) NOT NULL ENABLE,
    "CDE_DESC" VARCHAR2(80) NOT NULL ENABLE,
    "CDE_STAT" CHAR(1));
    insert into CT (TN, COL_NAME, CDE, CDE_DESC, CDE_STAT)
    values ('INDSD', 'STCD', 'U', 'RF', 'A');
    insert into CT (TN, COL_NAME, CDE, CDE_DESC, CDE_STAT)
    values ('AT', 'TCD', '001', 'RL', 'A');
    insert into CT (TN, COL_NAME, CDE, CDE_DESC, CDE_STAT)
    values ('AT', 'TCD', '033', 'PFR', 'A');
    CREATE TABLE "IPP"
    ( "IND_ID" NUMBER(9,0) NOT NULL ENABLE,
    "PLCD" VARCHAR2(5) NOT NULL ENABLE,
    "CBCD" VARCHAR2(5));
    insert into IPP (IND_ID, PLCD, CBCD)
    values (2007, 'AS', '04');
    insert into IPP (IND_ID, PLCD, CBCD)
    values (797098, 'AS', '34');
    insert into IPP (IND_ID, PLCD, CBCD)
    values (797191, 'AS','04');
    CREATE TABLE "INDS"
    ( "OPCD" VARCHAR2(5) NOT NULL ENABLE,
    "IND_ID" NUMBER(9,0) NOT NULL ENABLE,
    "IND_CID" NUMBER(*,0),
    "GFLG" VARCHAR2(1),
    "HHID" NUMBER(9,0),
    "DOB" DATE,
    "DOB_FLAG" VARCHAR2(1),
    "VCD" VARCHAR2(5),
    "VTDTE" DATE,
    "VPPCD" VARCHAR2(4),
    "VRCDTE" DATE NOT NULL ENABLE,
    "VDSID" NUMBER(9,0),
    "VTRANSID" NUMBER(12,0),
    "VOWNCD" VARCHAR2(5),
    "RCDTE" DATE,
    "LRDTE" DATE
    insert into INDS (OPCD, IND_ID, IND_CID, GFLG, HHID, DOB, DOB_FLAG, VCD, VTDTE, VPPCD, VRCDTE, VDSID, VTRANSID, VOWNCD, RCDTE, LRDTE)
    values ('USST', 2007, 114522319, '', 304087673, to_date('01-01-1980', 'dd-mm-yyyy'), 'F', '2', to_date('06-04-2011 09:21:37', 'dd-mm-yyyy hh24:mi:ss'), '', to_date('06-04-2011 09:21:37', 'dd-mm-yyyy hh24:mi:ss'), 1500016, null, 'USST', to_date('06-04-2011 09:21:37', 'dd-mm-yyyy hh24:mi:ss'), to_date('18-07-2012 21:52:53', 'dd-mm-yyyy hh24:mi:ss'));
    insert into INDS (OPCD, IND_ID, IND_CID, GFLG, HHID, DOB, DOB_FLAG, VCD, VTDTE, VPPCD, VRCDTE, VDSID, VTRANSID, VOWNCD, RCDTE, LRDTE)
    values ('USST', 304087678, 115242519, '', 304087678, to_date('01-01-1984', 'dd-mm-yyyy'), 'F', '2', to_date('06-04-2011 09:21:39', 'dd-mm-yyyy hh24:mi:ss'), '', to_date('06-04-2011 09:21:39', 'dd-mm-yyyy hh24:mi:ss'), 1500016, null, 'USST', to_date('06-04-2011 09:21:39', 'dd-mm-yyyy hh24:mi:ss'), to_date('18-07-2012 21:52:53', 'dd-mm-yyyy hh24:mi:ss'));
    CREATE TABLE "INDS_TYPE"
    ( "IND_ID" NUMBER(9,0) NOT NULL ENABLE,
    "STCD" VARCHAR2(5) NOT NULL ENABLE);
    insert into INDS_type (IND_ID, STCD)
    values (2007, 'U');
    insert into INDS_type (IND_ID, STCD)
    values (313250322, 'U');
    insert into INDS_type (IND_ID, STCD)
    values (480058122, 'U');
    CREATE TABLE "PLOP"
    ( "OPCD" VARCHAR2(5) NOT NULL ENABLE,
    "PLCD" VARCHAR2(5) NOT NULL ENABLE,
    "PPLF" VARCHAR2(1));
    insert into PLOP (OPCD, PLCD, PPLF)
    values ('USST', 'SP', 'Y');
    insert into PLOP (OPCD, PLCD, PPLF)
    values ('PMUSA', 'ST', '');
    insert into PLOP (OPCD, PLCD, PPLF)
    values ('USST', 'RC', '');
    CREATE TABLE "IND_T"
    ( "OPCD" VARCHAR2(5) NOT NULL ENABLE,
    "CID" NUMBER(9,0) NOT NULL ENABLE,
    "CBCD" VARCHAR2(5),
    "PF" VARCHAR2(1) NOT NULL ENABLE,
    "DOB" DATE,
    "VCD" VARCHAR2(5),
    "VOCD" VARCHAR2(5),
    "IND_CID" NUMBER,
    "RCDTE" DATE NOT NULL ENABLE
    insert into IND_T (OPCD, CID, CBCD,PF, DOB, VCD, VOCD, IND_CID, RCDTE)
    values ('JMC', 2007, '04', 'F',to_date('11-10-1933', 'dd-mm-yyyy'), '2', 'PMUSA', 363004880, to_date('30-09-2009 04:31:34', 'dd-mm-yyyy hh24:mi:ss'));
    insert into IND_T (OPCD, CID, CBCD,PF, DOB, VCD, VOCD, IND_CID, RCDTE)
    values ('JMC', 2008, '04', 'N',to_date('01-01-1980', 'dd-mm-yyyy'), '2', 'PMUSA', 712606335, to_date('05-04-2013 19:36:05', 'dd-mm-yyyy hh24:mi:ss'));
    CREATE TABLE "IC"
    ( "CID" NUMBER(9,0) NOT NULL ENABLE,
    "CF" CHAR(1));
    insert into IC (CID, CF)
    values (2007, 'N');
    insert into IC (CID, CF)
    values (100, 'N');
    insert into IC (CID, CF)
    values (200, 'N');
    CREATE OR REPLACE FORCE VIEW "INDSS_V" ("OPCD", "IND_ID", "IND_CID", "GFLG", "HHID", "DOB", "DOB_FLAG", "VCD", "VTDTE", "VPPCD", "VRCDTE", "VDSID", "VTRANSID", "VOWNCD", "RCDTE", "LRDTE") AS
    SELECT DISTINCT a.OPCD, a.IND_ID, a.IND_CID, a.GFLG, a.HHID,
    a.DOB, a.DOB_flag, a.VCD, a.VTDTE,
    a.VPPCD, a.VRCDTE, a.VDSID, a.VTRANSID,
    a.VOWNCD, a.RCDTE, a.LRDTE
    FROM INDS a, INDS_type b
    WHERE a.IND_ID = b.IND_ID
    AND b.STCD in (select CDE
    from CT --database link
    where TN = 'INDSD'
    and COL_NAME = 'STCD'
    and CDE_STAT = 'A') ;
    --insert /*+ parallel(IND_T,2) */ into IND_T
    select /*+ parallel(a,4) */
    a.OPCD as OPCD
    , a.IND_ID as CID
    , b.CBCD as CBCD
    , NULL as BFCD
    , 'N' as PF
    , a.DOB as DOB
    , a.VCD as VCD
    , a.VOWNCD as VOCD
    , a.IND_CID as IND_CID
    , a.RCDTE as RCDTE
    from INDSS_V a
    , (select /*+ parallel(IPP,4) */ * from IPP IPP , PLOP PLO
    where plo.PLCD = ipp.PLCD
    and PPLF='Y') b
    , IC c
    where a.IND_ID = b.IND_ID (+)
    and a.OPCD = b.OPCD (+)
    and a.IND_ID = c.CID
    and c.CF = 'N';

    Please consult
    HOW TO: Post a SQL statement tuning request - template posting
    Also format your code and post it using the [ code ] and [ /code ] tags. (Leave out the extra space after [ and before ])
    Sybrand Bakker
    Senior Oracle DBA
    Edited by: sybrand_b on 10-apr-2013 17:57

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