I am trying to populate database by parsing XML files and directly putting the parsed values into database. I have about 1000 XML files and huge text data. I want to use the full-text indexing while I
I have a table CREATE TABLE `dataFullText` ( `id` int(11) NOT NULL, `title` char(255) NOT NULL, `description` text NOT NULL,
There\'s a 开发者_开发知识库large set of entities of different kinds: interface Entity { } interface Entity1 extends Entity {
I\'ve created an Oracle Text index like the following: create index my_idx on my_table (text) indextype is ctxsys.context;
Is there any method for limiting the indexing 开发者_开发知识库of HTML to increase the page content relevancy? E.g. excluding menus, etc. from robots. I remember seeing some special tags for this long
In my table, I have a column that is publicationDate, publication date set as NVarChar that data model stored in column like these:
I created a FULLTEXT Index for columns: City, Group and Text called city_group_text_comparator开发者_开发知识库
I have stored a number of binary files in a SQL Server table. I created a full-text-index on that table which also indexes the binary field containing the documents. I installed the appropriate iFilte
I want to do general substring search among billions of strings. The requirement is a little different from general fulltext search because I want a query \"ubst\" also can hit \"substr\".
I am using django, and all of my queries are created by django, so i have no handwritten queries... I have a table of BillRecords, which has a field subscriberno . In my django filters, i use a filte