... server.index = 10.1.20.51:8383 server.search = 10.1.20.51:8384 [id] type = id [title] type = string [content] type = string [date] type = numeric 服务器和sdk分开部署 添加文档代码 但是我运行
...fault_charset = GBK ;server.index = 8383 ;server.search = 8384 [pid] type = id [subject] type = title [message] type = body [dateline] type = numeric [author] index = both [authorid] [tid] index = self tokenizer = full [fid] index = self tokenizer = full [flag] ...
...K ;服务端用默认值 ;server.index = 8383 ;server.search = 8384 [pid] type = id [fid] index = self tokenizer = full [tid] [first] index = self tokenizer = full [author] index = both [authorid] [subject] type = title [message] type = body [dateline] type = numeric ~~~ [1]: http://www.xu...
如下: 自定义分词字段 b_split_title [b_split_title] type = title tokenizer =coupon $search->setQuery( '(b_split_title:宠物 OR 宠物 ) AND b_city_id:31')->setlimit(1000000)->setFacets('b_tag_id')->search(); 打印： Xapian::Query(((or:(pos=1) AND 宠物:(pos=2) AND and:(pos=3) ...
...-----+-------------+------+-----+---------+----------------+ | Field | Type | Null | Key | Default | Extra | +----------+-------------+------+-----+---------+----------------+ | id | int(11) | NO | PRI | NULL | auto_increment | | name | varchar(20) | NO |...
...sid] => XSFieldMeta Object ( [name] => newsid [cutlen] => 0 [weight] => 1 [type] => 10 [vno] => 0 [tokenizer:private] => full [flag:private] => 1 ) [title] => XSFieldMeta Object ( [name] => title [cutlen] => 0 [weight] => 5 [type] => 11 [vno] => 1 [tokenizer:private] => 0 [flag:private] => 19 ) ) [_...
...7006940, task:{}}[/php] 找到问题原因了，当某一个字段设置type=numeric,且字段值是浮点型时，某个xs search进程占用cpu和内存迅速升高，并一直维持在占用资源很高的状态。手册关于type=numeric的说明，“numeric 数值型，包含整型和浮点...
[XSException] ../application/0.0.1/library/Component/XS.php(834): Missing field of type ID #0
... 那也是一个合法的字段，字段选项包括以下几种： #### type 字段类型 - string 字符型，适用多数情况，也是默认值 - numeric 数值型，包含整型和浮点数，仅当字段需用于以排序或区间检索时才设为该类型，否则请使用 str...
...project.charset = GBK server.index = 8383 server.search = 8384 [pid] type = id [fid] index = self tokenizer = full [tid] [first] index = self tokenizer = full [author] index = both [authorid] [subject] type = title [message] type = body [dateline] type = numeric