Performance collection filtering problem

I'm filtering an XMLListCollection by date. The date of the Collection must be > = date today and then a list item, use it as a dataProvider will only display items with a date article > = today.

Today I came across a problem where if there is no item matching this criteria, the list opens the voids. Source of confusion. So I added a line after applying the filter to the list to check if the length of the dataProvider property == 0 after filtering. If so, I remove the filter and apply the refresh() method, and now all of the elements are. This seems terribly inefficient and makes the flicker of the list, but I can't think of a way to check the zero items before a filter is applied.

Any ideas on how I could do this effectively?

Try to simply run the e4x expression which is the same as the filter and
audit of its length. Or use instead of a function coming filterFunction
with the XMLList in the first place.

HTH;

Amy

"rtalton" wrote in message
News:gjavn6$7s3$1@forums. Macromedia.com...
> I'm filtering an XMLListCollection by date. At the time of the Collection
> be
> = date today and then a list item, use it as a dataProvider's
> show
> only the items with a date of the article > = today.
>
> Today I came across a problem where if no matching items in this
> criteria,.
> the empty list opens. Source of confusion. So I added a line after the list
> filter
> is applied to check if the length of the dataProvider property == 0 after
> filtering. If so, I remove the filter and apply the refresh() method, and
> now
> all items appear. This seems terribly inefficient and makes the list
> Twinkle, but I cannot think of a method of control of zero points before a
> filter is
> applied.
>
> Any ideas on how I could do this effectively?
>

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|   3 |   TABLE ACCESS FULL   | TABLE_A            |  2190K|  1230M|       | 32357   (4)| 00:03:12 |
----------------------------------------------------------------------------------------------------

Predicate Information (identified by operation id):
---------------------------------------------------

   1 - access(""AB"".""MEDIA_FK""=""A"".""ID"")
   2 - filter(""AB"".""CHANNEL_FK""=1 OR ""AB"".""CHANNEL_FK""=7)

Note
-----
   - 'PLAN_TABLE' is old version
    For reference, the EXPLAIN PLAN when using
    ...
ab.channel_fk IN (6, 9, 170, 89);
    that runs in ~ 1 second is:
    PLAN_TABLE_OUTPUT
Plan hash value: 794334170

----------------------------------------------------------------------------------------
| Id  | Operation          | Name      | Rows  | Bytes |TempSpc| Cost (%CPU)| Time     |
----------------------------------------------------------------------------------------
|   0 | SELECT STATEMENT   |           |   143K|    81M|       | 58982   (3)| 00:05:50 |
|*  1 |  HASH JOIN         |           |   143K|    81M|  2952K| 58982   (3)| 00:05:50 |
|   2 |   INLIST ITERATOR  |           |       |       |       |            |          |
|*  3 |    INDEX RANGE SCAN| C_M_INDEX |   143K|  1262K|       |  1264   (1)| 00:00:08 |
|   4 |   TABLE ACCESS FULL| TABLE_A   |  2190K|  1230M|       | 32357   (4)| 00:03:12 |
----------------------------------------------------------------------------------------

Predicate Information (identified by operation id):
---------------------------------------------------

   1 - access(""AB"".""MEDIA_FK""=""A"".""ID"")
   3 - access(""AB"".""CHANNEL_FK""=6 OR ""AB"".""CHANNEL_FK""=9 OR
              ""AB"".""CHANNEL_FK""=89 OR ""AB"".""CHANNEL_FK""=170)

Note
-----
   - 'PLAN_TABLE' is old version
    Here is the output of SQL * Plus AUTOTRACE, including CALENDAR information:
    SQL> set autotrace traceonly arraysize 100;
SQL> SELECT
  2  a.*
  3  FROM
  4  table_a a
  5  INNER JOIN table_a_b ab ON a.id = ab.media_fk
  6  WHERE
  7  ab.channel_fk IN (7, 1);

1336148 rows selected.


Execution Plan
----------------------------------------------------------
Plan hash value: 3781163428
----------------------------------------------------------------------------------------------------
| Id  | Operation             | Name               | Rows  | Bytes |TempSpc| Cost (%CPU)| Time     |
----------------------------------------------------------------------------------------------------
|   0 | SELECT STATEMENT      |                    |  1352K|   771M|       | 60042   (3)| 00:05:56 |
|*  1 |  HASH JOIN            |                    |  1352K|   771M|    27M| 60042   (3)| 00:05:56 |
|*  2 |   INDEX FAST FULL SCAN| SYS_IOT_TOP_316310 |  1352K|    11M|       |  1816   (4)| 00:00:11 |
|   3 |   TABLE ACCESS FULL   | TABLE_A            |  2190K|  1230M|       | 32357   (4)| 00:03:12 |
----------------------------------------------------------------------------------------------------


Predicate Information (identified by operation id):
---------------------------------------------------

   1 - access("AB"."MEDIA_FK"="A"."ID")
   2 - filter("AB"."CHANNEL_FK"=1 OR "AB"."CHANNEL_FK"=7)

Note
-----
   - 'PLAN_TABLE' is old version


Statistics
----------------------------------------------------------
      10586  recursive calls
          0  db block gets
     200457  consistent gets
     408343  physical reads
          0  redo size
  498740848  bytes sent via SQL*Net to client
     147371  bytes received via SQL*Net from client
      13363  SQL*Net roundtrips to/from client
         49  sorts (memory)
          0  sorts (disk)
    1336148  rows processed
    The TKPROF output for that statement looks like the following:
    TKPROF: Release 10.2.0.4.0 - Production on Mon Oct 1 12:23:21 2012

Copyright (c) 1982, 2007, Oracle.  All rights reserved.

Trace file: ..._ora_4896.trc
Sort options: default

********************************************************************************
count    = number of times OCI procedure was executed
cpu      = cpu time in seconds executing
elapsed  = elapsed time in seconds executing
disk     = number of physical reads of buffers from disk
query    = number of buffers gotten for consistent read
current  = number of buffers gotten in current mode (usually for update)
rows     = number of rows processed by the fetch or execute call
********************************************************************************

ALTER SYSTEM SET TIMED_STATISTICS = TRUE


call     count       cpu    elapsed       disk      query    current        rows
------- ------  -------- ---------- ---------- ---------- ----------  ----------
Parse        1      0.00       0.00          0          0          0           0
Execute      1      0.00       0.03          0          0          0           0
Fetch        0      0.00       0.00          0          0          0           0
------- ------  -------- ---------- ---------- ---------- ----------  ----------
total        2      0.00       0.03          0          0          0           0

Misses in library cache during parse: 0
Parsing user id: 21
********************************************************************************

SELECT
a.*
FROM
table_a a
INNER JOIN table_a_b ab ON a.id = ab.media_fk
WHERE
ab.channel_fk IN (7, 1)

call     count       cpu    elapsed       disk      query    current        rows
------- ------  -------- ---------- ---------- ---------- ----------  ----------
Parse        1      0.01       0.00          0          0          0           0
Execute      1      0.00       0.00          0          0          0           0
Fetch        2     27.23     163.57     179906     198394          0          16
------- ------  -------- ---------- ---------- ---------- ----------  ----------
total        4     27.25     163.58     179906     198394          0          16

Misses in library cache during parse: 1
Optimizer mode: ALL_ROWS
Parsing user id: 21



********************************************************************************

OVERALL TOTALS FOR ALL NON-RECURSIVE STATEMENTS

call     count       cpu    elapsed       disk      query    current        rows
------- ------  -------- ---------- ---------- ---------- ----------  ----------
Parse        2      0.01       0.00          0          0          0           0
Execute      2      0.00       0.03          0          0          0           0
Fetch        2     27.23     163.57     179906     198394          0          16
------- ------  -------- ---------- ---------- ---------- ----------  ----------
total        6     27.25     163.62     179906     198394          0          16

Misses in library cache during parse: 1


OVERALL TOTALS FOR ALL RECURSIVE STATEMENTS

call     count       cpu    elapsed       disk      query    current        rows
------- ------  -------- ---------- ---------- ---------- ----------  ----------
Parse        0      0.00       0.00          0          0          0           0
Execute      0      0.00       0.00          0          0          0           0
Fetch        0      0.00       0.00          0          0          0           0
------- ------  -------- ---------- ---------- ---------- ----------  ----------
total        0      0.00       0.00          0          0          0           0

Misses in library cache during parse: 0

    2  user  SQL statements in session.
    0  internal SQL statements in session.
    2  SQL statements in session.
********************************************************************************
Trace file: ..._ora_4896.trc
Trace file compatibility: 10.01.00
Sort options: default

       1  session in tracefile.
       2  user  SQL statements in trace file.
       0  internal SQL statements in trace file.
       2  SQL statements in trace file.
       2  unique SQL statements in trace file.
      46  lines in trace file.
     187  elapsed seconds in trace file.
    DBMS_XPLAN. Output DISPLAY_CURSOR:
    select * from table(dbms_xplan.display_cursor('474frsqbc1n4d', null, 'ALLSTATS LAST'));

PLAN_TABLE_OUTPUT
SQL_ID  474frsqbc1n4d, child number 0
-------------------------------------
SELECT /*+ gather_plan_statistics */ c.* FROM table_a c INNER JOIN table_a_b ab ON c.id = ab.media_fk WHERE ab.channel_fk IN (7, 1)

Plan hash value: 3781163428

---------------------------------------------------------------------------------------------------------------------------------------------------
| Id  | Operation             | Name               | Starts | E-Rows | A-Rows |   A-Time   | Buffers | Reads  | Writes |  OMem |  1Mem | Used-Mem |
---------------------------------------------------------------------------------------------------------------------------------------------------
|*  1 |  HASH JOIN            |                    |      1 |   1352K|   1050 |00:00:40.93 |     198K|    182K|    209K|    29M|  5266K| 3320K (1)|
|*  2 |   INDEX FAST FULL SCAN| SYS_IOT_TOP_316310 |      1 |   1352K|   1336K|00:00:01.34 |   10874 |      0 |      0 |       |       |          |
|   3 |   TABLE ACCESS FULL   | TABLE_A            |      1 |   2190K|   2267K|00:02:45.56 |     187K|    182K|      0 |       |       |          |
---------------------------------------------------------------------------------------------------------------------------------------------------

Predicate Information (identified by operation id):
---------------------------------------------------

   1 - access(""AB"".""MEDIA_FK""=""C"".""ID"")
   2 - filter((""AB"".""CHANNEL_FK""=1 OR ""AB"".""CHANNEL_FK""=7))
    Thank you for reading I'm waiting for suggestions to improve the performance of this statement.

    -----

    H3. Backgroud

    There are many years my company made decided to maintain many-to-many relationships in our database using pipe delimited fields. An example of field value:
    '|ABC|XYZ|VTR|DVD|'
    Each delimited value refers to a unique "short" code TABLE_B (there is also a real digital foreign key to TABLE_B, which is what I use in the junction table). We are regularly using these columns with the next SQL style:
    ...
WHERE
INSTR(pipedcolumn, '|ABC|') > 0
OR INSTR(pipedcolumn, '|XYZ|' > 0
...
    Appropriate indexes have been created over the years to make this process as soon a possible.

    We now have an opportunity to correct some of these errors of design and implementation of junction tables to replace the current field. Before that, we have decided to take a copy of a database to a client with the largest set of records and test. I created a new junction table:
    TABLE_A_B DDL:

    CREATE TABLE TABLE_A_B (
        media_fk NUMBER,
        channel_fk NUMBER,
        PRIMARY KEY (media_fk, channel_fk),
        FOREIGN KEY (media_fk) REFERENCES TABLE_A (ID),
        FOREIGN KEY (channel_fk) REFERENCES TABLE_B (ID)
    ) ORGANIZATION INDEX COMPRESS;

    CREATE INDEX C_M_INDEX ON TABLE_A_B (channel_fk, media_fk) COMPRESS;
    And the analysis on a pipe delimited field, populated by this new table.

    I then compared the performance of the following SQL:
    SELECT
a.*
FROM
table_a a
INNER JOIN table_a_b ab ON a.id = ab.media_fk
WHERE
ab.channel_fk IN (x, y, n); -- Can be Many Minutes

--vs.

SELECT
a.*
FROM
table_a a
WHERE
INSTR(OWNERS,'|x|')    >0
OR INSTR(OWNERS,'|y|')    >0
OR INSTR(OWNERS,'|n|')    >0; -- About 1 second seemingly regardless
    When x, y, n are values that occur less frequently in the TABLE_A_B.CHANNEL_FK performance are comparable. However once the frequency of x, y, n increases, performance suffers. Here is a summary of the data CHANNEL_FK in TABLE_A_B:
    --SQL For Summary Data
SELECT channel_fk, count(channel_fk) FROM table_a_b GROUP BY channel_fk ORDER BY COUNT(channel_fk) DESC;

CHANNEL_FK             COUNT(CHANNEL_FK)
---------------------- ----------------------
7                      780741
1                      555407
2                      422493
3                      189493
169                    144663
9                      79457
6                      53051
171                    28401
170                    19857
49                     12603
...
    I noticed that whenever I use any combination of values that occur over approximately 800 000 times (i.e. IN (7, 1) = 780741 + 555407 = 1336148) then I get performance problems.

    I find it very difficult to accept that the old pipe delimited fields are a better solution (without taking into account any other than this search criterion!).

    Thank you for reading this far. I really look forward to suggestions on how to improve the performance of this statement.

    Published by: user1950227 on October 1, 2012 12:06
    Table of link renamed in DDL.

    davebcast wrote:

    The following SQL statement has been identified as a bad performance. It takes ~ 160 seconds to run, but similar (indicated below first statement) SQL statements run in ~ 1 second.

    Keep in mind that the enforcement timeframe has elapsed is a poor metric to use for benchmarking of SQL. The reason is that the same workload does not mean that the same elapsed execution time.

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    -------------------------------------- Summary --------------------------------------

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    -------------------------------------------------------------------------------------

    Hello

    I finished downloading the suite on the adobe web site and installed no problem at all.

    Must have been a faulty drive.

    James

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