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Home/ Questions/Q 7098097
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Editorial Team
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Editorial Team
Asked: May 28, 20262026-05-28T11:00:49+00:00 2026-05-28T11:00:49+00:00

I’ve got a problem which seems simple at first, but really isn’t. I’m storing

  • 0

I’ve got a problem which seems simple at first, but really isn’t. I’m storing words in a table in such way that pair of strings “A B C D E” and “D E F” becomes:

id  value
--  -----
1   A
1   B
1   C
1   D
1   E
2   D
2   E
2   F

And i pass to my ORACLE procedure string which looks like this: “A B C D G”. And now I want to check percentage of similarity between strings in the database and string passed as a parameter.

I presume that I have to use one of split functions and use an array. Later check if every word in passed string occurs in the table and then count ids. But there`s a twist: I need precise percentage value.

So, result from example above should look like this:

id percentage
-- ----------
1  80              -- 4 out of 5 letters exists in query string (A B C D)
2  33              -- 1 out of 3 (D)

So, my questions are:

  • what is most effective way to split query string and then iterate on it (table?)
  • how to store partial results and then count them?
  • how to count final percentage value?

Every help would be greatly appreciated.

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  1. Editorial Team
    Editorial Team
    2026-05-28T11:00:49+00:00Added an answer on May 28, 2026 at 11:00 am

    The following query would give you what you want without the need to bother with procedures.

    select id
         , sum(case when value in ('A', 'B', 'C', 'D', G') then 1 else 0 ) / count(*)
      from my_table
     group by id
    

    Alternatively if you have to pass the string “A B C D G” and get a result back you could do:

    select id
         , sum(case when instr('A B C D G', value) <> 0 then 1 else 0 ) / count(*)
      from my_table
     group by id
    

    These do involve full scanning the table or an index full scan if you use the suggested index below, so you might want to add the following where clause if you only want to find ids that have a percentage > 0.

    select id
         , sum(case when instr('A B C D G', value) <> 0 then 1 else 0 ) / count(*)
      from my_table
     where exists ( select 1
                      from my_table
                     where id = mt.id
                       and instr('A B C D G', value) <> 0 )
     group by id
    

    For all the queries your table should be indexed on my_table, id in that order.

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