>> So at what point does your app learn the structure of the SQL table?


At the moment I know the structure after executing the SQL and fetching
the first row [a ruby hash]. But the field set will change from SQL to
SQL, and Ferret is doing all the field specification for me via
hash-as-doc, ala.

  def create
    @index = Ferret::Index::Index.new()

    conn = ODBC.connect(@odbc[:dsn], @odbc[:uid], @odbc[:pwd])
    
    @sqls.each do |sql|
      stmt = conn.prepare(sql)
      stmt.execute.each_hash{ |row| @index << row }     
      stmt.close
      stmt.drop
    end

    conn.disconnect
  end

The field definitions do not change though, so I'm happy as long as the
hash-as-doc support remains in Ferret.

Cheers,

Neville
 



-----Original Message-----
From: [EMAIL PROTECTED]
[mailto:[EMAIL PROTECTED] On Behalf Of Marvin Humphrey
Sent: Thursday, 8 June 2006 3:07 PM
To: [email protected]
Subject: Re: [Ferret-talk] Proposal of some radical changes to API


On Jun 6, 2006, at 4:33 PM, Neville Burnell wrote:

>>> I asked the question because I honestly wanted to see a concrete 
>>> example of an application that couldn't be handled within the 
>>> constraint of pre- defined fields.
>
> My current application involves writing a web application which can 
> seach a ferret index built from a SQL database.
>
> The idea is that the customer supplies SQLs for say customers, 
> suppliers, sales and puchases etc. The app then retrieves the rows 
> from the datasource and indexes using Ferret. The app provides both a 
> html website as an interface to the index, and also an XML api which 
> can be used by non browser clients.
>
> The field set is quite different for each SQL [and is essentially out 
> of our control].

So at what point does your app learn the structure of the SQL table?   
Would it work if you were to start each session by telling the index
writer about the fields that were coming?

   def connect(field_names)
     field_names.each do |field_name|
       index.spec_field(field_name)   # use default properties
     end
   end

   def add_to_index(submission)
     index.add_hash_as_doc(submission)
   end

I can imagine a scenario where that's not possible, and the fields may
change up on each insert.  In that case, under the interface I envision,
you'd have to do something like...

   def add_to_index(submission)
     submission.each do |field_name, value|
       index.spec_field(field_name)   # use default properties
     end
     index.add_hash_as_doc(submission)
   end

FWIW, this stuff is happening anyway, behind the scenes.   
Essentially, every time you add a field to an index, Ferret asks, "Say,
is this field indexed?  And how about TermVectors, you want those?"  The
10_000th time you add the field, Ferret asks, "This field wasn't indexed
before -- have you changed your mind? OK, I'll check back again
later."... 1_000_000th doc: "You sure?  How about I make it indexed?
Awwwww, c'mon... Hey, could you use some TermVectors?"

When it makes sense, of course you want to simplify the interface and
hide the complexity inside the library.  However, given that it's not
possible to make coherent updates to existing data within a Lucene-
esque file format, my argument is that field definitions should never
change.  So the repeated calls to spec_field above would be completely
redundant -- you'd get an error if you ever tried to change the field
def.

Your app would be a little less elegant, it's true (performance impact
would be somewhere between insignificant and tiny unless you had a
zillion very short fields).  However, I think the use case where the
fields are not known in advance is the exception rather than the rule.

It would also be possible to use Dave's polymorphic hash-as-doc
technique, where if the hash value is a Field object, you spec out the
field definition using that Field object's properties -- you would just
use full-on Field objects for each field.  My argument would be, again,
that the field definitions should not change.  If you don't agree with
that and the definition has to be modifiable (within the current
constraints), then that single-method technique is probably better.
However, if the definition is not modifiable, then I'd argue it's
cleaner to separate the two functions.

Marvin Humphrey
Rectangular Research
http://www.rectangular.com/

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