I\'m working on a UTF-8 Persian website with integrated mysql database. All the content in the website are imported through an admin panel and it\'s all persian.
As
This is called a collation. It's what MySQL uses to compare two different characters. I'm afraid I don't know anything about persian or arabic, but the concept is the same. Essentially you've got two characters which map to the same base value. You need to find a collation which maps ي to ی. I'm afraid that's as helpful as I can be without knowing more about the language.
Dear EBAG, We have a single Arabic block in Unicode which contains both Arabic & Persian characters.
06CC is Persian ی
and 064A is Arabic ي
Default windows keyboard uses code page 1256
for arabic characters which put 064A
as default ي
for bothPersian and Arab users because Arab users are much more than Persian.
ISIRI
make an standard keyboard ISIRI 9147
and put both Arabic and Persian Yeh
on it but Perisan ی
is the default characters. Persian users which are using standard keyboard will put ( and use ) standard Persian ی while the rest of them use arabic
ي`.
As you told usually while we are saving a data to database we change arabic ي
to Persian ی
and when we are reading from it we just go for Persian so everything is true.
the second approach is to use a JavaScript file in web application to control user input. most of the persian websites use this approach to save characters to database. In this method user don't need to install any Keyboard layout for Persian or Arabic keyboard. He/she just put the keyboard on English
and then in JavaScript
file developer check that which character is equevalent for him. Here you can find ISIRI 9147 javascript
for web application and a Persian Guid to use it.
the Third approach is to use a On-Screen Keyboard that work just like the previous one with a user interface and is usually good for thise who are not familiar with Persian keyboard.
The forth approach is to search both dialect. As you know when you install MySql
or SQL Server
you can set the collation
and also you have an option to support dialect ( and case sensivity). if you enable arabic collation with dialect you can get result for both of them and usually this works fine in sql server
I don't test it in MySql
. This is the best solution yet.
but if I were you, I implement a simple sql function
which get nvarchar
and return nvarchar
. then I call it when I wanted to write data. and whenever you want to read, you can go for the standard one.
Sorry for the long tail.
You must use N (meaning uNicode) before non-English characters, for example:
REPLACE(COLUMNNAME, N'ي', N'ی')
I know answering this topic is like digging a corpse from its grave since it's really old but I'd like to share my experience IMHO, the best way is to wrap your request and apply your replacement . it's more portable than other ways. here is a java sample
public class FarsiRequestWrapper extends HttpServletRequestWrapper{
@Override
public String getParameter(String name) {
String parameterValue = super.getParameter(name);
parameterValue.replace("ی", "ي");
parameterValue.replace("\\s+", " ");
parameterValue.replace("ک","ک");
return parameter.trim();
}
}
then you only need to setup a filter servlet
public class FarsiFilter implements Filter{
public void doFilter(ServletRequest request, ServletResponse response,
FilterChain chain) throws IOException, ServletException {
HttpServletRequest req = (HttpServletRequest) request;
FarsiRequestWrapper rw = new FarsiRequestWrapper(req);
chain.doFilter(rw, response);
}
} although this approach only works in Java, I found it simpler and better.
update TABLENAME set COLUMNNAME=REPLACE(COLUMNNAME,NCHAR(1610),NCHAR(1740))
or
update TABLENAME set COLUMNNAME=REPLACE(COLUMNNAME,'ي',N'ی')
If you've the possibility to switch DB engine, you might want to look into the full text search functionality of PostgreSQL:
http://www.postgresql.org/docs/9.0/static/textsearch.html
Among other things, you can configure it so that it indexes/searches unaccented characters, and you can define all sorts of additional dictionaries (e.g. stop words, thesaurus, synonyms, etc.).
If not, consider using Sphinx or Lucene instead of like
statements for your searches.