Re: [Zope-dev] skinscript and URL traversal question

2001-01-21 Thread Aaron Payne

Hi all,

A solution has been found.  woohoo.  A not found error was produced with 
direct URL traversal.

Steve Spicklemire sent this solution off list.

The process is split into two steps:

Do the query to 'load the object on traversal':
WITH QUERY searchBy_Name(name=self.id) COMPUTE name

Do the query to 'load the attributes needed for rendering a particular 
document':
WITH QUERY searchByNameCheck(self.id) COMPUTE 
username,coupon_text,categorylist,categoryheader,expirationdate,status,couponterms

During traversal AUTHENTICATED_USER is not yet defined, so it's no good trying
to get to it. However, once authentication has happened (after Zope has sorted
out what object you're after an imposed security on the object..) then it 
should
be OK. Since the Storage tab uses 'name' to load the object, we can't access
AUTHENTICATED_USER before loading 'name', but the other attributes are OK.

-Aaron



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[Zope-dev] Specialist/Rack scalability

2001-01-21 Thread Michael Bernstein

After comsidering the fedback I got from the previous
'Massive scalability thread, I decided to split my queries
into two areas: Rack scalability and ZCatalog scalability.
This email deals with the former.

It seems clear that indexing and searching are more of a
botleneck than storage/retreival. Nevertheless, so far I
have not heard of anyone trying to store more than 60,000
objects in a rack. I need to know if there is any reason to
suspect that storage (in the ZODB) or retreival performance
would suffer if the number of objects was in the hundreds of
thousands or even millions.

Does anyone have anectodal or benchmark data that would
suggest what happens with that many objects?

Thanks,

Michael Bernstein.

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[Zope-dev] ZCatalog scalability

2001-01-21 Thread Michael Bernstein

After comsidering the feedback I got from the previous
'Massive scalability' thread, I decided to split my queries
into two areas: Rack scalability and ZCatalog scalability.
This email deals with the latter.

Partial match (wildcard) searches have already been
identified as a resource hog, depending on the size of the
result list. I am more than willing to give up wildcards in
my application for performance.

What I am interested in for my application are two things:

- ZTopics populated using one or more keyword indexes

- Full text search on a single computed attribute that
concatenates several fields including the aforementioned
keyword index fields and a few simple string attributes
(title, caption, description, etc.)

I need to know how far the ZCatalog will scale using this
indexing and search strategy. Does anyone have anectodal or
benchmark data to suggest if (and when) I will hit a 'wall'
regarding the number of objects being indexed and searched?
Some anectodal data suggests that single field indexing will
scale easily to 60,000 objects, what about hundreds of
thousands or even millions of objects?

Also, is there a way to disable wildcards in full text
searches?

Thanks,

Michael Bernstein.

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Re: [Zope-dev] Specialist/Rack scalability

2001-01-21 Thread Steve Alexander

Hi Michael,

Michael Bernstein wrote:


 It seems clear that indexing and searching are more of a
 botleneck than storage/retreival. Nevertheless, so far I
 have not heard of anyone trying to store more than 60,000
 objects in a rack. I need to know if there is any reason to
 suspect that storage (in the ZODB) or retreival performance
 would suffer if the number of objects was in the hundreds of
 thousands or even millions.

I can't answer your question; however, I may be able to help clarify the 
question.

The ZODB is really just a transaction manager, and an interface and 
contract of behaviour, for an object database.

You can plug a variety of Storages into the ZODB. The default storage 
the Zope comes with is FileStorage -- Data.fs.

There are also BerkeleyStorage, OracleStorage, DBMStorage, and others, 
in varying states of finishedness.

So, storing things in a Rack happens in a number of stages:

   Your application interacts with the Rack
   The Rack (perhaps) stores the object persistently in its BTree
   The BTree is a collection of persistent ZODB objects
   The ZODB objects are stored as Python Pickles in a FileStorage

We can consider what the effect of storing 60 000 objects is at each of 
these interfaces.

The Rack shouldn't have a problem with 60 000 objects.

I doubt a BTree would have a problem.

The ZODB might not like accessing many large objects during a single 
transaction, as all those objects need to be in memory at once.

A FileStorage should have no problem reading 60 000 stored objects. 
However, if these objects are changing much, your Data.fs will grow 
fast. In any case, you may find undo and history screens take a long 
time to appear.

However, if you are using a Rack, you have a lot of choice about where 
you put your data. You can put frequently changed aspects of your data 
on the filesystem, and the rest in FileStorage for example.

--
Steve Alexander
Software Engineer
Cat-Box limited
http://www.cat-box.net


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Re: [Zope-dev] ZCatalog scalability

2001-01-21 Thread Steve Alexander

Michael Bernstein wrote:


 Also, is there a way to disable wildcards in full text
 searches?

Do not allow direct queries to search the catalog. Instead, make 
searches go through an external method (or a PythonScript with Proxy 
permissions) that uses string.replace to change '*' and '?' to ''.

--
Steve Alexander
Software Engineer
Cat-Box limited
http://www.cat-box.net



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Re: [Zope-dev] ZCatalog scalability

2001-01-21 Thread Michael Bernstein

Steve Alexander wrote:
 
 Michael Bernstein wrote:
 
  Also, is there a way to disable wildcards in full text
  searches?
 
 Do not allow direct queries to search the catalog. Instead, make
 searches go through an external method (or a PythonScript with Proxy
 permissions) that uses string.replace to change '*' and '?' to ''.

A *very* handy suggestion. You might want to add that as a
Tip to Zope.org.

Thanks,

Michael Bernstein.

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Re: [Zope-dev] ZCatalog scalability

2001-01-21 Thread Michael Bernstein

Erik Enge wrote:
 
 [Michael Bernstein]
 
 | I need to know how far the ZCatalog will scale using this indexing
 | and search strategy. Does anyone have anectodal or benchmark data to
 | suggest if (and when) I will hit a 'wall' regarding the number of
 | objects being indexed and searched?
 
 I'm going to try to stuff 27 million objects into ZODB sometime in the
 next week or the week after that (all post addresses in England).  I
 haven't got a clue as to whether this will work or just... well not
 work.  I haven't come up with a strategy for segmenting the data, but
 that shouldn't be a problem at all.  This isn't actually much data, so
 I don't expect the Data.fs file to more than 500 MB.
 
 I'm quite confident that ZODB, ZCatalog and BTree will scale very
 nicely for this.  I have a plan ;).
 
 I'll let you know how it goes.  (And please, do poke at me if it takes
 too long.

Will do, Thanks!

Michael Bernstein.

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Re: [Zope-dev] Specialist/Rack scalability

2001-01-21 Thread Michael Bernstein

Steve Alexander wrote:
 
 Hi Michael,
 
 Michael Bernstein wrote:
 
 
  It seems clear that indexing and searching are more of a
  botleneck than storage/retreival. Nevertheless, so far I
  have not heard of anyone trying to store more than 60,000
  objects in a rack. I need to know if there is any reason to
  suspect that storage (in the ZODB) or retreival performance
  would suffer if the number of objects was in the hundreds of
  thousands or even millions.
 
 [snip]

 So, storing things in a Rack happens in a number of stages:
 
Your application interacts with the Rack
The Rack (perhaps) stores the object persistently in its BTree
The BTree is a collection of persistent ZODB objects
The ZODB objects are stored as Python Pickles in a FileStorage
 
 We can consider what the effect of storing 60 000 objects is at each of
 these interfaces.

Are there any differences if you scale the number of objects
up to the hundreds of thousands or even into the millions?

 The Rack shouldn't have a problem with 60 000 objects.
 
 I doubt a BTree would have a problem.
 
 The ZODB might not like accessing many large objects during a single
 transaction, as all those objects need to be in memory at once.

Neither of my applications require batch adds to the DB,
however, one of them (the image archive) has objects
(Photos) with several images as attributes. This results in
a fairly large object. There is some question in my mind if
accessing any attribute (such as the thumbnail version)
causes all attributes to be loaded into memory. If so,
displaying a list of images with thumbnails may result in
many large objects being loaded into memory.

 A FileStorage should have no problem reading 60 000 stored objects.
 However, if these objects are changing much, your Data.fs will grow
 fast. In any case, you may find undo and history screens take a long
 time to appear.

No. Once added, I don't expect the data to change
frequently.

Thanks for the feedback.

Michael Bernstein.

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Re: [Zope-dev] Specialist/Rack scalability

2001-01-21 Thread Steve Alexander

Michael Bernstein wrote:


 There is some question in my mind if
 accessing any attribute (such as the thumbnail version)
 causes all attributes to be loaded into memory. If so,
 displaying a list of images with thumbnails may result in
 many large objects being loaded into memory.

Make sure that each large attribute is an instance of a class that 
derives from Persistent.

Of course, if this is a ZPatterns application, you'd probably want to 
have the images in their own Rack, and use an Attribute Provider on your 
Photo objects that gets the images for a Photo as needed. The Photo 
(with meta-data) and the images are entirely different objects, accessed 
via different Racks, via different Specialists.

--
Steve Alexander
Software Engineer
Cat-Box limited
http://www.cat-box.net


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Re: [Zope-dev] ZCatalog scalability

2001-01-21 Thread Erik Enge

[Michael Bernstein]

| I need to know how far the ZCatalog will scale using this indexing
| and search strategy. Does anyone have anectodal or benchmark data to
| suggest if (and when) I will hit a 'wall' regarding the number of
| objects being indexed and searched?

I'm going to try to stuff 27 million objects into ZODB sometime in the
next week or the week after that (all post addresses in England).  I
haven't got a clue as to whether this will work or just... well not
work.  I haven't come up with a strategy for segmenting the data, but
that shouldn't be a problem at all.  This isn't actually much data, so
I don't expect the Data.fs file to more than 500 MB.

I'm quite confident that ZODB, ZCatalog and BTree will scale very
nicely for this.  I have a plan ;).

I'll let you know how it goes.  (And please, do poke at me if it takes
too long.)


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Re: [Zope-dev] Specialist/Rack scalability

2001-01-21 Thread Michael Bernstein

Steve Alexander wrote:
 
 Michael Bernstein wrote:
 
  There is some question in my mind if
  accessing any attribute (such as the thumbnail version)
  causes all attributes to be loaded into memory. If so,
  displaying a list of images with thumbnails may result in
  many large objects being loaded into memory.
 
 Make sure that each large attribute is an instance of a class that
 derives from Persistent.

Ok, I'll give that a try. Since Photo is a Python Product,
what will happen to current instances if I make this (and
only this) change?

 Of course, if this is a ZPatterns application, you'd probably want to
 have the images in their own Rack, and use an Attribute Provider on your
 Photo objects that gets the images for a Photo as needed. The Photo
 (with meta-data) and the images are entirely different objects, accessed
 via different Racks, via different Specialists.

I'm not certain that that makes sense, since the Images are
really cached 'views' of the Photo object. When a new image
is uploded to replace an existing one, *all* versions
(thumbnails, small, medium, large, etc) are regenerated.

But assuming that I went so far as to break out the Images
to their own Rack, would you reccomend that each image size
have a dedicated Rack, or would you suggest that all images
be stored in the same Rack?

Thanks,

Michael.

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Re: [Zope-dev] Specialist/Rack scalability

2001-01-21 Thread Steve Alexander

Michael Bernstein wrote:
 

 Make sure that each large attribute is an instance of a class that
 derives from Persistent.
 
 Ok, I'll give that a try. Since Photo is a Python Product,
 what will happen to current instances if I make this (and
 only this) change?

I don't know. I can think of reasons that it might be ok. I can also 
rationalize why it would cause badness. :-)

 
 [[ put images in their own specialist ]


 I'm not certain that that makes sense, since the Images are
 really cached 'views' of the Photo object. When a new image
 is uploded to replace an existing one, *all* versions
 (thumbnails, small, medium, large, etc) are regenerated.

Makes sense to me. You're not generating them on the fly; you're storing 
them persistently.

If you put them in their own Specialist and Rack or Racks, you get to

say how they are stored entirely independently of how the Photo objects
are stored.

I would have just one Images specialist, and then probably store them in 
different racks, but expose them to the rest of the application as all 
being of the same class of Image, but with a different image_size 
attribute; either "thumbnail", "small", "medium" or "large".
That way, I could make the small rack generate thumbnails from the 
medium rack if, for example, the small size was rarely requested.

There are many ways to design that though, and it depends on how you 
want things to work. (Obviously :-) )

 But assuming that I went so far as to break out the Images
 to their own Rack, would you reccomend that each image size
 have a dedicated Rack, or would you suggest that all images
 be stored in the same Rack?

There are advantages and disadvantages to each approach. However, you 
should be hiding the details of what Racks exist behind the facade of 
the Specialist.

The Specialist will have a getItem method, which will get an Image from 
the appropriate rack, and probably some methods like 
listImagesFor(photo) and getImageFor(image_type, photo) so you can get 
all the images for a particular photo.

Perhaps also storeImageFor(photo, original_image), which would end up 
processing and storing images derived from the original image.

--
Steve Alexander
Software Engineer
Cat-Box limited
http://www.cat-box.net


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Re: [Zope-dev] CSS file serving

2001-01-21 Thread richard

Casey Duncan wrote:
 [EMAIL PROTECTED] wrote:
 
  I've ended up hacking a version of special_dtml / ClassicHTMLFile that
  serves up CSS. Has anyone got a better way of doing it (that detects
  changes in the file and serves it up with the correct Content-Type)?
 
 Check out:
 
 http://www.zope.org/Members/haqa/ZStyleSheet

   Hrm - that's a little heavy for what I want - which is just an analog of
HTMLFile but for CSS files. That is, something I can add to my Python
product as an attribute. Definitely no management or other sorts of
trickiness required.



Richard

-- 
Richard Jones
[EMAIL PROTECTED]
Senior Software Developer, Bizar Software (www.bizarsoftware.com.au)

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Re: [Zope-dev] ZCatalog scalability

2001-01-21 Thread Chris Withers

 Michael Bernstein wrote:


  Also, is there a way to disable wildcards in full text
  searches?

 Do not allow direct queries to search the catalog. Instead, make
 searches go through an external method (or a PythonScript with Proxy
 permissions) that uses string.replace to change '*' and '?' to ''.

Wouldn't using a normal vocabulary as opposed to a globbing vocabulary
prevent this as well?

cheers,

Chris


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Re: [Zope-dev] ZCatalog scalability

2001-01-21 Thread Steve Alexander

Chris Withers wrote:

 
 Wouldn't using a normal vocabulary as opposed to a globbing vocabulary
 prevent this as well?

That would stop globbing searches for everyone.

While I might want to stop users of a site making wildcard searches, I 
still want to keep that facility for myself :-)

--
Steve Alexander
Software Engineer
Cat-Box limited
http://www.cat-box.net


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[Zope-dev] dtml-in batching

2001-01-21 Thread richard

The dtml-in batching mechanisms are quite difficult to debug - the DTML
documentation I have has examples which break it and there's no indication
of why. It turns out the DT_In renderwb() code gobbles all exceptions from
the rendering of the previous and next blocks. I've hacked my code so that
there's no try/except clause any more. I'm not sure what exception it's
trying to catch, but could it perhaps be made a little more picky?


Richard

-- 
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[EMAIL PROTECTED]
Senior Software Developer, Bizar Software (www.bizarsoftware.com.au)

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Re: [Zope-dev] dtml-in batching

2001-01-21 Thread richard

[EMAIL PROTECTED] wrote:
 
 The dtml-in batching mechanisms are quite difficult to debug - the DTML
 documentation I have has examples which break it and there's no indication
 of why. It turns out the DT_In renderwb() code gobbles all exceptions from
 the rendering of the previous and next blocks. I've hacked my code so that
 there's no try/except clause any more. I'm not sure what exception it's
 trying to catch, but could it perhaps be made a little more picky?

   Re-glancing at the code shows me that this is only the case for the next
block. Sorry about that.

-- 
Richard Jones
[EMAIL PROTECTED]
Senior Software Developer, Bizar Software (www.bizarsoftware.com.au)

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Re: [Zope-dev] dtml-in batching

2001-01-21 Thread richard

[EMAIL PROTECTED] wrote:
 
 The dtml-in batching mechanisms are quite difficult to debug - the DTML
 documentation I have has examples which break it and there's no indication
 of why. It turns out the DT_In renderwb() code gobbles all exceptions from
 the rendering of the previous and next blocks. I've hacked my code so that
 there's no try/except clause any more. I'm not sure what exception it's
 trying to catch, but could it perhaps be made a little more picky?

And here's a diff - I'm pretty sure this was the intended behaviour...


*** /tmp/DT_In.py.orig  Mon Jan 22 12:00:53 2001
--- DT_In.pyMon Jan 22 12:00:58 2001
***
*** 561,566 
--- 561,570 
  # there are more items, without actually
  # computing a length:
  sequence[end]
+ except IndexError:
+ if self.elses: result=render(self.elses, md)
+ else: result=''
+ else:
  pstart,pend,psize=opt(end+1-overlap,0,
sz,orphan,sequence)
  kw['next-sequence']=1
***
*** 568,576 
  kw['next-sequence-end-index']=pend-1
  kw['next-sequence-size']=pend+1-pstart
  result=render(section,md)
- except:
- if self.elses: result=render(self.elses, md)
- else: result=''
  else:
  result = []
  append=result.append
--- 572,577 


-- 
Richard Jones
[EMAIL PROTECTED]
Senior Software Developer, Bizar Software (www.bizarsoftware.com.au)

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Re: [Zope-dev] Specialist/Rack scalability

2001-01-21 Thread Phillip J. Eby

At 07:12 PM 1/21/01 +, Steve Alexander wrote:

So, storing things in a Rack happens in a number of stages:

   Your application interacts with the Rack
   The Rack (perhaps) stores the object persistently in its BTree
   The BTree is a collection of persistent ZODB objects
   The ZODB objects are stored as Python Pickles in a FileStorage

We can consider what the effect of storing 60 000 objects is at each of 
these interfaces.

The Rack shouldn't have a problem with 60 000 objects.

I doubt a BTree would have a problem.

The ZODB might not like accessing many large objects during a single 
transaction, as all those objects need to be in memory at once.

A FileStorage should have no problem reading 60 000 stored objects. 
However, if these objects are changing much, your Data.fs will grow 
fast. In any case, you may find undo and history screens take a long 
time to appear.

However, if you are using a Rack, you have a lot of choice about where 
you put your data. You can put frequently changed aspects of your data 
on the filesystem, and the rest in FileStorage for example.

Just to expand a little on the abov...  Racks should scale at least as
well, if not larger than a ZCatalog, given the same storage backing for the
ZODB.  This is because ZCatalog has to manage a minimum of one forward and
reverse BTree for *each* index, plus another few BTrees for overall storage
and housekeeping.  Also, keyword and full text indexes store multiple BTree
entries per object, so that's a factor as well.

So don't worry about the Rack.  If you're using a Rack, you can store the
data anywhere, and you can index it in an RDBMS, LDAP directory, ZCatalog,
or some combination thereof, using triggers to keep the data in sync.


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