Regular expressions are highly unreadable and difficult to debug. Does there exist any replacement for text processing which could be handled by mere mortals?
I want to add a feature to search documents stored in a directory. The back end is developed in Python to additionally manipulate the search results. The documents are stored in a dedicated web server
It's difficult to tell what is being asked here. This question is ambiguous, vague, incomplete, overly broad, or rhetorical andcannot be reasonably answered in its current form. For help clari
I am working on a GAE/J based project. One of the requirements is to let the users upload files (开发者_C百科doc,ppt,pdf,xls etc).
I have this sql query: SELECT DISTINCT url FROM paragraphs WHERE MATCH (title) AGAINST(\'$query\') ORDER BY
i have database table with few text fields which i use to filter data , each of this text fields contain number data separated with colon ( for example \'1:2:4:5:6:7:9\' )
I want to develop a mechanism for search, but I have some requirements for it. I am not getting where should I start.
I have decided to change a search from using LIKE \'%\' + @searchTerm + \'%\' to use a FULLTEXT index. I\'m using SQL Server 2005.
I\'ve got a customer table like this: ID*, Title, FirstName, MiddleNames, LastName, CompanyName All string fields are nullable.
I\'m looking for a tool (ideally) or failing that an API to search text for instances of any word from a large dictionary of words in a large number of text files. \"Words\" in my case are actually fi
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