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Samuel Nitsche
Samuel Nitsche

Posted on • Originally published at cleandatabase.wordpress.com on

Structure Force Powers with PL/SQL Object Types

I had two examples about PL/SQL object types in the past, but didn’t manage to showcase their practical use yet: For modern SQL is turing complete you can somehow solve every problem with SQL and it is even easier with the capabilities of procedural PL/SQL.

There are, however, situations where the usage of object types (SQL Types) can help you greatly and for they are available in Oracle database since version 8i (1999), they should be part of every database developer’s toolkit.

We just got the following, structured list of force powers, categorized by their main nature (Universal, Light and Dark) and skill dependencies:

ID STRUCTURE NAME
1 1 Universal
2 1.1 Telekinesis
3 1.1.1 Force Push
4 1.1.2 Force Pull
5 1.1.3 Force Jump
6 2 Light
7 2.1 Mind Trick
8 2.1.1 Force Persuation
9 3 Dark
10 3.1 Force wound
11 3.1.1 Force grip
12 3.1.2 Force choke

To be able to master Force Pull, Push or Jump you first have to master the basics of Telekinesis which belongs to universal powers, to use the force to persuade someone, you first have to learn the basics of Jedi Mind Tricks (“These are not the droids you are looking for”).

We now want to add several additional information, based on the structure column:

  • Integer Level 1-3
  • Depth for each force power
  • A sort-field of the type 001001001
  • The ID of the parent element

We can achieve this with pure SQL:

with leveled_powers as (
  select
      id,
      structure,
      name,
      -- Get the value of each level from structure or 0
      nvl(to_number(
        regexp_substr(structure, '[0-9]+', 1, 1)
        ), 0) level1,
      nvl(to_number(
        regexp_substr(structure, '[0-9]+', 1, 2)
        ), 0) level2,
      nvl(to_number(
        regexp_substr(structure, '[0-9]+', 1, 3)
        ), 0) level3
      from
        force_powers
)
select
  id,
  structure,
  name,
  level1,
  level2,
  level3,
  -- Use the level to determine depth of current element
  case
    when level3 > 0 then
      3
    when level2 > 0 then
      2
    when level1 > 0 then
      1
    else
      0
  end depth,
  -- Concatenate the levels to a sortable string
  lpad(level1, 3, '0')
    || lpad(level2, 3, '0')
    || lpad(level3, 3, '0') sort,
  -- Get the id of the parent by structure
  (select id
    from force_powers p
    where
      p.structure =
      case
        when base.level3 > 0 then
          to_char(base.level1)||'.'||to_char(base.level2)
        when base.level2 > 0 then
          to_char(base.level1)
      end
  ) parent_id
  from
    leveled_powers base;

This will result in the following table:

ID STRUCTURE NAME LEVEL1 LEVEL2 LEVEL3 DEPTH SORT PARENT_ID
1 1 Universal 1 0 0 1 001000000 NULL
2 1.1 Telekinesis 1 1 0 2 001001000 1
3 1.1.1 Force Push 1 1 1 3 001001001 2
4 1.1.2 Force Pull 1 1 2 3 001001002 2
5 1.1.3 Force Jump 1 1 3 3 001001003 2
6 2 Light 2 0 0 1 002000000 NULL
7 2.1 Mind Trick 2 1 0 2 002001000 6
8 2.1.1 Force Persuation 2 1 1 3 002001001 7
9 3 Dark 3 0 0 1 003000000 NULL
10 3.1 Force wound 3 1 0 2 003001000 9
11 3.1.1 Force grip 3 1 1 3 003001001 10
12 3.1.2 Force choke 3 1 2 3 003001002 10

And while it totally works this way, I find the SQL pretty hard to read and probably painful to maintain: you need to parse and understand every single line of SQL code to get a clue about what it will produce.

So let’s try to extract all the structure-related logic into a PL/SQL object type, starting by defining a type-header which contains all the necessary functions:

create or replace type t_numeric_structure force as object
(
  -- for the levels are our most basic data
  -- lets store them in the object
  c_level1 number(3,0),
  c_level2 number(3,0),
  c_level3 number(3,0),

  -- constructor to create structure from string
  constructor function t_numeric_structure(
    i_struct varchar2 )
    return self as result,
  -- This is just a little helper function
  member function p$_position_for_level(
    i_string varchar2,
    i_level positiven ) return pls_integer,
  -- Functions to get the different levels
  member function level1 return pls_integer,
  member function level2 return pls_integer,
  member function level3 return pls_integer,
  -- Function to get the structure string
  member function structure return varchar2,
  -- Function to get the sort value
  member function sort return varchar2,
  -- Function to get the depth
  member function depth return pls_integer,
  -- Function to get an instance of the parent structure
  member function parent return t_numeric_structure
);

We then implement the function, using the exact same logic as in the view:

create or replace type body t_numeric_structure as

  constructor function t_numeric_structure(
    i_struct varchar2 )
    return self as result
  as
    begin
      -- We do exactly the same here as in the
      -- leveled_powers-with - just a bit more readable
      self.c_level1 := p$_position_for_level(i_struct, 1);
      self.c_level2 := p$_position_for_level(i_struct, 2);
      self.c_level3 := p$_position_for_level(i_struct, 3);
      return;
    end;

  member function p$_position_for_level(
    i_string in varchar2,
    i_level in positiven ) return pls_integer
  as
    begin
      return
        nvl(to_number(
          regexp_substr(i_string, '[0-9]+', 1, i_level)
        ),0);
    end;

  member function level1 return pls_integer
  as
    begin
      return c_level1;
    end;

  member function level2 return pls_integer
  as
    begin
      return c_level2;
    end;

  member function level3 return pls_integer
  as
    begin
      return c_level3;
    end;

  member function structure return varchar2
  as
    l_result varchar2(50);
    begin
      -- Because we use the atomic levels we have
      -- to (re-)create the structure
      if ( c_level1 > 0 ) then
        l_result := to_char(c_level1);
      end if;
      if ( c_level2 > 0 ) then
        l_result := l_result || '.' || to_char(c_level2);
      end if;
      if ( c_level3 > 0 ) then
        l_result := l_result || '.' || to_char(c_level3);
      end if;
      return l_result;
    end;

  member function sort return varchar2
  as
    begin
      -- Same logic as in the view
      return lpad(c_level1, 3, '0')
        || lpad(c_level2, 3, '0')
        || lpad(c_level3, 3, '0');
    end;

  member function depth return pls_integer
  as
    begin
      -- The same logic as in the view
      -- with different flavour
      if c_level3 > 0 then
        return 3;
      elsif c_level2 > 0 then
        return 2;
      elsif c_level1 > 0 then
        return 1;
      else
        return 0;
      end if;
    end;

  member function parent return t_numeric_structure
  as
    begin
      -- We basically do the same here as in the subselect
      -- for parent_id, but return a new instance of
      -- the numeric_strucutre-type or NULL
      if ( c_level3 > 0 ) then
        return new t_numeric_structure(
          to_char(c_level1)||'.'||to_char(c_level2));
      elsif ( c_level2 > 0 ) then
        return new t_numeric_structure(
          to_char(c_level1));
      else
        return null;
      end if;
    end;
end;

With this object type in place, we can now rewrite our SELECT statement like this:

select
  base.id,
  base.struct.structure() structure,
  base.name,
  base.struct.level1() level1,
  base.struct.level2() level3,
  base.struct.level3() level3,
  base.struct.depth() depth,
  base.struct.sort() sort,
  (select id
     from force_powers p
     where p.structure =
           base.struct.parent().structure()
  ) parent_id
  from
    (
      select
        id,
        name,
        t_numeric_structure(structure) struct
        from
          force_powers
    ) base;

But why would I want to add 130 lines of object type code just to reduce my SQL code from 54 to 23 lines?

The benefits I see here are the following:

  • When reading the new SQL statement, I get a much quicker understanding of what the code does without having to understand the implementation details: I therefore need much less mental load to get the intention
  • When working on the different functions of the numeric_structure, I can concentrate on a single functionality at a time. This again reduces the mental load needed
  • I successfully separated different concerns and made the logic to deal with structured information a module instead of being a part of my SELECT statement. This makes it easier to maintain the code and again reduces the mental load I need because I can just look at one module
  • The separated modules are much easier to test (I will showcase this in a separate example)

You can run the whole example on LiveSQL and get it on my github repo.

Next thing we’ll do from here is to make the T_NUMERIC_STRUCTURE type a part of the FORCE_POWERS-table, so stay tuned.

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