On Thu, Jun 3, 2010 at 2:40 PM, Massimiliano
<[email protected]> wrote:
> Dear Ikai,
> I want to search in the datastore "Pizza" and obtain "Pizza with tomatoes",
> "Pizza with Mushrooms", I don't care about "abcpizza" or "123pizza".

Those you can obtain by the filter told some messages ago, but 'I want
pizza man!' need a full-text of the poor solution I gave in the last
message.

> Massimiliano
>
> 2010/6/3 Ikai L (Google) <[email protected]>
>>
>> The reason search engines work is because they do stemming on terms. For
>> instance, when you search for "cats" you may want to match "cat" and "cats"
>> for better results, and it's fairly unlikely you want to return "abcatst" or
>> "youcats123" (sorry, I couldn't think of any words that had "cats" in the
>> middle). Lucene, an open source Java project for ships with basic analyzers
>> that will do things like this.
>> Otherwise, there aren't easily scalable ways to index on substrings. The
>> closest you can come is to try to intelligently determine which substrings
>> in a string can be searched on, and index those terms.
>> On Thu, Jun 3, 2010 at 9:49 AM, Rafael Sierra <[email protected]>
>> wrote:
>>>
>>> Massimiliano, the point is that there's no way to create an index that
>>> can be used to avoid a full-scan into the database in that kind of
>>> query, so, even if you can do "ILIKE '%anything%'" in PgSQL or "LIKE
>>> '%anotherthing%'" in MySQL, it will result in a full-scan on every
>>> record at database.
>>>
>>> But, if you have a small set of record in you database, you can do
>>> something like this: http://dpaste.com/hold/202782/ . You can do this
>>> in larger sets of databases also, but you may deal with some
>>> DeadLineErrors at your application.
>>>
>>> Note: This solution has absolutely no performance at all, you can even
>>> do some kind of pagination (scanning the database only up to N
>>> registers and breaking after that) but if the scan happens to iterate
>>> over thousands of records before reach N records found, you will still
>>> have DeadLineErrors.
>>>
>>> On Thu, Jun 3, 2010 at 11:04 AM, Massimiliano
>>> <[email protected]> wrote:
>>> > So there isn't a scalable solution!
>>> >
>>> > 2010/6/3 Geoffrey Spear <[email protected]>
>>> >>
>>> >>
>>> >> On Jun 3, 4:58 am, Massimiliano <[email protected]>
>>> >> wrote:
>>> >> > I need just something like *myvar* so I will accept any carachters
>>> >> > before
>>> >> > and after the var...
>>> >> > Or I have to divide the strings in list (each word an elment of the
>>> >> > list)
>>> >> > and use the operator IN.
>>> >> > Thinking
>>> >>
>>> >> Building a keyword index for each entity is fairly trivial.
>>> >>
>>> >> Indexing so that you can find "oob" in "foobar" isn't, and I don't
>>> >> believe there's a scalable solution for this.  An RDBMS will do
>>> >> searches like this for you, but it won't scale well.  I believe it's
>>> >> only possible by doing a table scan, which App Engine won't let you do
>>> >> (short of manually fetching every entity and checking if it contains
>>> >> your substring, which obviously isn't going to be pretty.)
>>> >>
>>> >> --
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>>> >>
>>> >
>>> >
>>> >
>>> > --
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>>
>>
>>
>> --
>> Ikai Lan
>> Developer Programs Engineer, Google App Engine
>> Blog: http://googleappengine.blogspot.com
>> Twitter: http://twitter.com/app_engine
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>>
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>
>
>
> --
>
> My email: [email protected]
> My Google Wave: [email protected]
>
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>

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