I am using Lucene seacrh engine for fulltext search it give search result for non ascii character also but the problem is suppose I added a text 帕普部分分配数量 and will search with
only one character 帕 it will give result but when will search with full non-ascii word 帕普部分分配数量 it is not giving any result, the strange thing is when I put spaces between each charcter for example 帕 普 部 分 分 配 数 量 and theb will search it give result
Will realy appreciate any help
Thanx
Be sure to use the same Analyzer when indexing and searching.
What happens is your Analyzer is indexing each characters as an individual Term, and then if you search with a different analyzer (IE WhiteSpaceAnalyzer) it searches for a Token containing all the specified characters in your Query.
To search for a sequence of characters like you want, you need to use the same Analyzer and have the QueryParser build a PhraseQuery with all the individual Tokens.
Some sample code of your indexing and searching routines would make it easier to help you.
Related
I'm having an issue with specific entries in my wordforms file that are not being
interpreted as expected.
Here are a couple of examples:
1/48 > forty-eighth
1/96 > ninety-sixth
As you can see, these entries contain both slashes and hyphens, which may be related to
my issue.
For some reason, Sphinx doesn't correctly equate each fraction to the spelled out
version. Search results for "1/48" are not the same as for "forty-eighth", as they should
be. In other words, the mapping between these equivalent forms is not working.
In my Sphinx config, I have the forward slash (/) set as a blend character, so I assume
that the fraction is being recognized properly.
In support of that belief, the following wordforms entry does work correctly:
1/4 > fourth
Does anyone have any idea why my multi-term synonyms would not be working as expected?
I have tried replacing the hyphen with a space, but this doesn't change the result at
all. Would it help to change the order of the terms (i.e., on which side of the ">" they
should be placed)?
Thank you very much for any help.
When using characters in Sphinx it is always good to keep in mind the following:
By default, the Sphinx tokenizer handles unknown characters as whitespace
https://sphinxsearch.com/blog/2014/11/26/sphinx-text-processing-pipeline/
That has given me weird results too when using wordforms.
I would suggest you add the hyphen to charset_tables so ninety-sixth becomes one word. ignore_chars is also an option but then you will be looking for ninetysixth instead.
Much depends on the rest of your dataset and use cases ofcourse.
I was experimenting with PostgreSQL's text search feature - particularly with the normalization function to_tsquery.
I was using english dictionary(config) and for some reason s and t won't normalize. I understand why i and a would not, but s and t? Interesting.
Are they matched to single space and tab?
Here is the query:
select
to_tsquery('english', 'a:*') as for_a,
to_tsquery('english', 's:*') as for_s,
to_tsquery('english', 't:*') as for_t,
to_tsquery('english', 'u:*') as for_u
fiddle just in case.
You would see 'u:*' is returning as 'u:*' and 'a:*' is not returning anything.
The letters s and t are considered stop words in the english text search dictionary, therefore they get discarded. You can read the stop word list under tsearch_data/english.stop in the postgres shared folder, which you can locate by typing pg_config --sharedir
With pg 11 on ubuntu/debian/mint, that would be
cat /usr/share/postgresql/11/tsearch_data/english.stop
Quoting from the docs,
Stop words are words that are very common, appear in almost every document, and have no discrimination value. Therefore, they can be ignored in the context of full text searching.
It is best to discard english grammar and think of words in a programmatic and logical way as described above. Full text search does not try to infer context based on sentence structuring so it has no use for these words. After all, it's called full text search and not natural language search.
As to how they arrived on the conclusion to add s and t to the stop word list, statistical analysis must have revealed these characters to be noise.
I am trying to search for multiple words in text inclusively(AND operation)
without losing word stemming.
For example:
db.supplies.runCommand("text", {search:"printers inks"})
should return results with (printer and ink) or (printers ink) or (printers ink) or (printers inks) , instead of all results with either printer or ink.
This post covers the search for multiple words as an AND operation, but the solution doesn't search for stemmed words ->MongoDB Text Search AND multiple search words.
The only way I could think of is creating a permutation of all the words and then running the search for the number of permutations(which could be large)
This may not be an effective way to search on a large collection.
Is there a better and smarter way to do it ?
So is there a reason you have to use a text search? If it were me i would use a regular expression.
https://docs.mongodb.com/manual/reference/operator/query/regex/
Off the top of my head something like this.
db.collection.find({products:/printers inks|printers|inks/})
Now i suppose you can do the same thing with a text search too.
db.collection.find({$text:{$search : "\"printers inks\" printers inks"}})
note the escaped quotes.
I'm coming across a strange situation where I cannot search on string tags that end with a special character. So far I've tried ) and ].
For example, given a Fruit index with a record with a tag apple (red), if you query (using the JS library) with tagFilters: "apple (red)", no results will be returned even if there are records with this tag.
However, if you change the tag to apple (red (not ending with a special character), results will be returned.
Is this a known issue? Is there a way to get around this?
EDIT
I saw this FAQ on special characters. However, it seems as though even if I set () as separator characters to index that only effects the direct attriubtes that are searchable, not the tag. is this correct? can I change the separator characters to index on tags?
You should try using the array syntax for your tags:
tagFilters: ["apple (red)"]
The reason it is currently failing is because of the syntax of tagFilters. When you pass a string, it tries to parse it using a special syntax, documented here, where commas mean "AND" and parentheses delimit an "OR" group.
By the way, tagFilters is now deprecated for a much clearer syntax available with the filters parameter. For your specific example, you'd use it this way:
filters: '_tags:"apple (red)"'
I have a tableview (linked to a database) and a search bar. When I type something in the search bar, I do a quick search in the database and display the results as I type.
The query looks like this:
SELECT * FROM MyTable WHERE name LIKE '%NAME%'
Everything works fine as long as I use only ASCII characters. What I want is to type ASCII characters and to match their equivalent with diacritics. For instance, if I type "Alizee" I would expect it to match "Alizée".
Is there a way to do make the query locale-insensitive? I've red about the COLLATE option in SQL, but there seems to be of no use with SQLite.I've also red that iPhone SDK 3.0 has "Localized collation" but I was unable to find any documentation about what this means...
Thank you.
There are a few options for solving this:
Replacing all accented chars in the
query before executing it, e.g.
"Psychédélices" => "Psychedelices"
"À contre-courant" => "A contre-courant"
"Tempête" => "Tempete"
etc.
but this only works for the input so
you must not have accented chars in
the database itself. Simple solution but
far from perfect.
Using a 3rd party library, namely ICU (links below). Not sure if it's the best choice for iPhone though.
Writing one or more custom C functions that will do the comparison. More in the links below.
A few posts here on StackOverflow that discuss the various options:
How to sort text in sqlite3 with specified locale?
Case-insensitive UTF-8 string collation for SQLite (C/C++)
How to implement the accent/diacritic insensitive search in Sqlite?
Also a couple of external links:
SQLite and native UNICODE LIKE support in C/C++
sqlite case and accent insensitive searches
I'm not sure about SQL, but I think you can definitely use the NSDiacriticInsensitivePredicateOption to compare in-memory NSStrings.
An example would be an NSArray full of the strings you're searching over. You could just iterate over the array comparing strings using the NSDiacriticInsensitivePredicateOption as your comparison option and displaying the successful matches.