Summary of complex scenario (counties)

Hi all

Looking for inspiration and ideas with this little teaser

I'm trying to find a common approach to the production of four counts (A, B, C and D) indicated in lines 1 to 5 below. This function of a table that contains about 4 000 entries.

In affect, I try to summarize the different permutations in the classifications of four cells show in the image above, using a common approach. I might add a column for each company and use wild-card account, but I'd rather keep the table of (imported) origin of tact - I know that I could build a table of distinct society in another piece of work, but there must be a smarter way to achieve this.

The legend below presents an overview of how the data looks like with different options (style truth table). The reference column contains a master list starting with RE - unique references.

NC and P columns contain company names. There are two additional columns and the television that contain one or more numbers starting with- and TV - respectively.

The idea is to check that the RE has a link to references or TV in the respective columns when there is a company name in the naming context and / column P

There are a number of scenarios based on conditional counts in two columns: following NC and P with the possible permutations:

Swap 1: Where there is a company name in the column "NC" count the number of:

  • RE links to OF
  • RE TV links
  • RE links to OF and TV
  • RE completely unrelated
  • More than one company with no link

Swap 2: Where there is a company name in the column 'P' count the number of:

  • RE links to OF
  • RE TV links
  • RE links to OF and TV
  • RE completely unrelated
  • More than one company with no link

Switch 3: When there is an entry in the column "NC" both "P":

  • RE links to OF
  • RE TV links
  • RE links to OF and TV
  • RE completely unrelated
  • More than one company with no link

At this point, my head began to ache - would be very grateful and ideas on how this could be done.

Thanks in advance

Perry

If I understand correctly, you can compile your different counts using COUNTIF with the * wildcard, something like this:

For more convenience in formulas to set up your data in a table and your account in another.

Here are the formulas in the table 'Account':

B2: = COUNTIFS(Data::$B,"*RE*",Data::C,"<>"&"",Data::$F,"*DE*")
C2: = COUNTIFS(Data::$B,"*RE*",Data::D,"<>"&"",Data::$F,"*DE*")
D2: = SUM(B2:C2)
B3: = COUNTIFS(Data::$B,"*RE*",Data::C,"<>"&"",Data::$G,"*TV*")
C3: = COUNTIFS(Data::$B,"*RE*",Data::D,"<>"&"",Data::$G,"*TV*")
D3: = SUM(B3:C3)
B4: = COUNTIFS(Data::$B,"*RE*",Data::C,"<>"&"",Data::$F,"*DE*",Data::$G,"*TV*")
C4: = COUNTIFS(Data::$B,"*RE*",Data::D,"<>"&"",Data::$F,"*DE*",Data::$G,"*TV*")
D4: = SUM(B4:C4)
B5: = COUNTIFS(Data::$B,"*RE*",Data::C,"<>"&"",Data::$F,"",Data::$G,"")
C5: = COUNTIFS(Data::$B,"*RE*",Data::D,"<>"&"",Data::$F,"",Data::$G,"")
D5: = SUM(B5:C5)

You can learn more about COUNTIF here (you can also access it via help > formulas & functions help menu.)

For more information on the search for wildcards of 'wild' in help > formulas & functions help

The function works with pairs of columns-condition, where you add a reference to a beach (usually a column because it's more convenient) and then apply a 'condition' against it, indeed the application of several filters.

You can add pairs more than necessary.

SG

Tags: iWork

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    |*  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
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    Note
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       - '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
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    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:
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    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:
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    ---------------------- ----------------------
    7                      780741
    1                      555407
    2                      422493
    3                      189493
    169                    144663
    9                      79457
    6                      53051
    171                    28401
    170                    19857
    49                     12603
    ...
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