Simple example of php sphinx

Let me introduce you to a simple example of php sphinx. Friends in need can refer to it.

The code is as follows:

<?php
//sphinx简单例子
//参数筛选
//筛选cat_id=2
$cl->SetFilter("cat_id",array(2));
//仅在id为1、3、7的子论坛中搜索
$cl->SetFilter("forum_id",array(1,3,7));
 
//范围筛选
//筛选发布时间为今天,参数为int时间戳
$cl->SetFilterRange("starttime",123,124);
//筛选价格
$cl->SetFilterRange("price",10.0,99.9);
 
// 分组
//按照item_id分组，并且按照order desc排序
$cl->SetGroupBy("item_id",SPH_GROUP_ATTR,"order desc");
 
//排序模式
//按照price desc排序
$cl->SetSortMode(SPH_SORT_ATTR_DESC,"price");
 注意：会被SetGroupBy中的排序覆盖 

// 匹配查询词中的任意一个
$cl->SetMatchMode ( SPH_MATCH_ANY );
SPH_MATCH_ALL, 匹配所有查询词(默认模式);
SPH_MATCH_ANY, 匹配查询词中的任意一个;
SPH_MATCH_PHRASE, 将整个查询看作一个词组，要求按顺序完整匹配;
SPH_MATCH_BOOLEAN, 将查询看NDED, 将查询看作一个CoreSeek/Sphinx内部查询语言的表达式 
(参见 第 5.3 节 “扩展查询语法”). 从版本Coreseek 3/Sphinx 0.9.9开始, 
这个选项被选项SPH_MATCH_EXTENDED2代替，它提供了更多功能和更佳的性能。
保留这个选项是为了与遗留的旧代码兼容——这样即使 
S作一个布尔表达式 (参见 第 5.2 节 “布尔查询语法”);

SPH_MATCH_EXTEphinx及其组件包括API升级的时候，旧的应用程序代码还能够继续工作。
SPH_MATCH_EXTENDED2, 使用第二版的“扩展匹配模式”对查询进行匹配.
SPH_MATCH_FULLSCAN, 强制使用下文所述的“完整扫描”模式来对查询进行匹配。
注意，在此模式下，所有的查询词都被忽略，尽管过滤器、过滤器范围以及分组仍然起作用，
但任何文本匹配都不会发生.

//从0开始查询，查询30条，返回结果最多为1000
$cl->setLimits(0,30,1000);
 
// 从名称为index的sphinx索引查询“电影票”
 $cl->Query("电影票","index");
 
// 从名称为index的sphinx索引查询“电影票”
$sp->SetGroupBy('item_id',SPH_GROUP_ATTR,'s_order desc');
$sp->SetFilter('city_id','1');
$sp->SetFilter('cat_id',array(1));
$sp->SetLimit(0,10,1000);
$sp->AddQuery('电影票','index');
$sp->ResetFilters();//重置筛选条件
$sp->ResetGroupBy();//重置分组
 
$sp->SetGroupBy('item_id', SPH_GROUPBY_ATTR, 's_order desc');
$sp->setFilter('city_id', '2');
$sp->setFilter('cat_id', array(2));
$sp->setLimits(0, 20, 1000);
$sp->AddQuery('温泉', 'index');
$sp->ResetFilters();// 重置筛选条件
$sp->ResetGroupBy();//重置分组
$results = $sp->RunQuries();
//by http://www.jbxue.com
?>

Batch queries (or multi-queries) enable searchd to perform possible internal optimizations and reduce network connections and processes in any case Creation overhead. Relative to individual queries, batch queries do not introduce any additional overhead. So when your Web page runs several different queries, be sure to consider using batch queries.

For example, running the same full-text query multiple times but using different sorting or grouping settings will cause searchd to only run the expensive full-text search and relevance calculation once, and then generate multiple Group results.

Sometimes it is not only necessary to simply display the search results, but also to display some category-related counting information, such as the number of products grouped by manufacturer. In this case, batch querying will save a lot of overhead. Without batch queries, you would have to run these essentially identical queries multiple times and retrieve the same matches, resulting in different result sets. If you use batch queries, you simply combine these queries into a batch query, and Sphinx will optimize these redundant full-text searches internally.

AddQuery() internally stores all current setting status and queries, and you can also change settings in subsequent AddQuery() calls. Queries added earlier will not be affected, there is really no way to change them.

Using the above code, the first query will query "hello world" on the "documents" index and sort the results by relevance. The second query will query "ipod" on the "products" index and To sort the results by price, a third query searches for "harry potter" on the "books" index, and the results are still sorted by price. Note that the second SetSortMode() call does not affect the first query (because it has already been added), but the next two queries will.

In addition, any filtering set before AddQuery() will continue to be used by subsequent queries. Therefore, if you use SetFilter() before the first query, the second query executed via AddQuery() (and subsequent batch queries) will have the same filtering applied, unless you first call ResetFilters() to clear the filtering rules. At the same time, you can also add new filtering rules at any time.

AddQuery() does not modify the current state. That is, all existing sorting, filtering, and grouping settings will not be changed by this call, so subsequent queries can easily reuse existing settings.

AddQuery() returns a subscript in the array returned by the RunQueries() result. It is an incrementing integer starting from 0, i.e. the first call returns 0, the second returns 1, and so on. This convenient feature saves you from having to record the subscripts manually when you need them.

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