Mike,

Wheather you keep the files in R:base in your maind db, in secondary 
databases, or as individual files really depends on your application and how 
many files you are going to be dealing with.  I like keeping them in the 
R:base database and secondary database because I know once an image is in 
there, it is not going to get lost.  I also know that I can control who can 
access it when it is in a database.  When it is just a file sitting in a 
directory, andyone with access to that directory can view it and possably 
delete it.

It is really personal preference as to how you like to manage file.

Troy Sosamon


>===== Original Message From [EMAIL PROTECTED] =====
>It depends, IMHO, on how many documents.  If you are keeping large numbers of 
images, as one of our clients does, we prefer to keep separate files and point 
from within R:Base to keep the database sizes manageable.
>
>MJS <[EMAIL PROTECTED]> wrote:
>
>>Awesome......just one question (at the moment).  Is there any
>>advantage/disadvantage to storing the documents on a harddrive with unique 
names,
>>and perhaps unique subdirectories (rather than as varbit values in a table), 
and
>>use Rbase to track where they are, and let Rbase launch the app to view 
them?  I
>>suppose it should work either way, but I would rather know if you tried it 
both
>>ways and why you picked your method.
>>
>>Thanks a million!
>>
>>Mike Sinclair
>>
>>Troy Sosamon wrote:
>>
>>> Mike,
>>>
>>> All the code I used for the demo is on the developers conference CD along 
with
>>> the power point presentation.
>>>
>>> Here is how I do it.
>>>
>>> 1. You have to use whatever method works for you and get your document 
into a
>>> file.  We use inexpensive HP scanners with doecument feeders on them.  We 
set
>>> them to default to store the pages in files at 200 dpi jpg files named
>>> temp.jpg.  The HP software then automatically numbers multiple pages 
test.jpt,
>>> test2.jpg, test3.jpg...
>>>
>>> 2. I have a program in R:base that will read the files and load them into 
the
>>> database.
>>>
>>> 3. Storing the files in R:base.  I use 3 tables:
>>> docs, docs_doc, and docs_loc.
>>> The docs table holds an autonumbered id called docid int, scan_date date,
>>> file_type text 3, doc_loc text 8, last_access date, and other information
>>> linking that record to the appropriate record in the database.
>>> The docs_doc table has 2 columns called docid and doc_image of type 
varbit.
>>> This is where the actual image lives.
>>> The docs_loc table is used to keep track of the locations of the databases
>>> that store the documents after you move them from your primary database.
>>>
>>> The problem with storing images in your database is your #4 file gets too
>>> large, so I create other database and move the records from the docs_doc 
table
>>> to other database.  I keep track of what database each document is in in 
the
>>> docs table, and I keep track of where the database is in the docs_loc 
table
>>>
>>> ok, so you scan your document to files c:\temp.jpg, c:\temp2.jpg, 
temp3.jpg.
>>> You select the client (or whatever) record in your database this document
>>> relates to.  You run a program that reads the files, load the docs table
>>> getting a docid, links to your client record, and then load the image into
>>> docs_doc, and you delete your temp jpg files after you load them.
>>>
>>> Now you have 4 records in the docs table and 4 records in the docs_doc 
table.
>>>
>>> To look at your document, you pull up your client and do a choose command 
on
>>> the docs table for that client.  You get the docid, file_type, and
>>> doc_location from the docs table.  You look in the docs_doc table to see 
if
>>> your blob is there.  If it is, you dump it out to some file say
>>> c:\temp$$$.jpg.  Next you either zip out of R:base or use launch and use
>>> whatever graphic viewer you want to look at the thing.  (You keep track of 
the
>>> file extension so you can programatically decide what viewer you want to 
use.
>>> You can store any file you want in R:base.  I store jpg, pdf, and doc 
files
>>> just to name a few.)  If your document is not in the docs_doc table, you 
use
>>> the doc_location field, look that up in the doc_loc table, connect to that
>>> database, dump the blob to a file, load the file into your main database, 
and
>>> then follow the procedure above.
>>>
>>> I load the record back into the main database, because of the way we do
>>> business.  Usually when someone needs an old file, they may use it 10 
times in
>>> a week and then not use it for a couple of years.
>>>
>>> When the #4 file gets over 400 megs, I start moving records out of the
>>> docs_doc table and load them into secondary databases.  I update the docs
>>> table with the name of the DB that the record is loaded into.  The 
docs_loc
>>> table has 1 record for that database with it's location.
>>> Once a document is moved to a secondary database, it is never deleted from 
it.
>>> I also burn the secondary databases onto CDs to keep off site.  You can 
move
>>> those secondary database around or even take them off line, and you just 
need
>>> to modify the 1 record in the docs_loc table.  I don't let the secondary
>>> database get over 600 megs so they will fit on CDs.  If I ever need to, I
>>> could get a CD jukebox and access them from there.  I have not needed that
>>> because I have a server with big drive array, and I figure I won't need to
>>> worry about storage for a couple of years.
>>>
>>> This whole procedure is very simple.  I control everything with 3 short
>>> command files.  One files reads in the jpg files and loads them into the
>>> database.  The second file pulls the files out of the database and starts 
the
>>> viewer, and the third file is used to move files from the production 
databse
>>> to the secondary databases.  I think I have about 15 secondary databases
>>> storing around 75,000 documents.
>>>
>>> This method works great.  I don't think I would use it if I were going to 
scan
>>> 100,000 pages a month, but it would still work if you did.  If you were 
going
>>> scan large numbers of documents, you would want to get a better storage 
format
>>> to get  the images smaller, but R:base would still work to store 
everything.
>>>
>>> Troy Sosamon
>>> Denver, Co.
>>>
>>> >===== Original Message From [EMAIL PROTECTED] =====
>>> >Hi all, and esp Troy,
>>> >
>>> >Do you have an outline on how you do the "TROY METHOD" of document 
storage?
>>> It
>>> >seemed to work so well at the developers conference.....I just didn't 
want to
>>> >reinvent that wheel!
>>> >
>>> >Mike Sinclair
>>> >
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>>> Troy Sosamon
>>> Denver Co
>>> [EMAIL PROTECTED]
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>
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>
>
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Troy Sosamon
Denver Co
[EMAIL PROTECTED]

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