[solr]

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Solr的defType有dismax/edismax两种，这两种的区别，可参见：http://blog.csdn.net/duck_genuine/article/details/8060026

下面示例用于演示如下场景：

有一网站，在用户查询的结果中，需要按这样排序：

VIP的付费信息需要排在免费信息的前头
点击率越高越靠前
发布时间越晚的越靠前

这样的查询排序使用普通的查询结果的Order by是做不到的，必需使用solr的defType。

做法：

1、先看schema.xml的定义：

<?xml version="1.0" ?><schema name="sample5" version="1.1">    <fieldtype name="string"  class="solr.StrField" sortMissingLast="true" omitNorms="true"/>    <fieldType name="long" class="solr.TrieLongField" precisionStep="0" positionIncrementGap="0"/>    <fieldType name="tdate" class="solr.TrieDateField" precisionStep="6" positionIncrementGap="0"/>    <fieldType name="int" class="solr.TrieIntField" precisionStep="0" positionIncrementGap="0"/>    <fieldType name="float" class="solr.TrieFloatField" precisionStep="0" positionIncrementGap="0"/>    <fieldType name="double" class="solr.TrieDoubleField" precisionStep="0" positionIncrementGap="0"/>    <fieldType name="boolean" class="solr.BoolField" sortMissingLast="true"/>    <fieldtype name="binary" class="solr.BinaryField"/>    <fieldType name="text_cn" class="solr.TextField">        <analyzer type="index" class="org.wltea.analyzer.lucene.IKAnalyzer" useSmart="false" />        <analyzer type="query" class="org.wltea.analyzer.lucene.IKAnalyzer" useSmart="true" />        <analyzer>            <tokenizer class="solr.KeywordTokenizerFactory"/>            <filter class="solr.LowerCaseFilterFactory" ignoreCase="true"/>        </analyzer>    </fieldType>        <!-- general -->    <fields>        <field name="id" type="long" indexed="true" stored="true" multiValued="false" required="true"/>        <field name="subject" type="text_cn" indexed="true" stored="true" />        <field name="content" type="text_cn" indexed="true" stored="true" />        <field name="regionId" type="int" indexed="true" stored="true" />        <field name="region" type="text_cn" indexed="true" stored="true" />        <field name="categoryId" type="int" indexed="true" stored="true" />        <field name="category" type="text_cn" indexed="true" stored="true" />        <field name="price" type="float" indexed="true" stored="true" />        <field name="createTime" type="tdate" indexed="true" stored="true" />        <field name="point" type="long" indexed="true" stored="true" />        <field name="vip" type="boolean" indexed="true" stored="true" />        <field name="_version_" type="long" indexed="true" stored="true"/>        <field name="searchText" type="text_cn" indexed="true" stored="false" multiValued="true" />    </fields>        <copyField source="subject" dest="searchText" />    <copyField source="content" dest="searchText" />    <copyField source="region" dest="searchText" />    <copyField source="category" dest="searchText" />         <!-- field to use to determine and enforce document uniqueness. -->     <uniqueKey>id</uniqueKey>     <!-- field for the QueryParser to use when an explicit fieldname is absent -->     <defaultSearchField>searchText</defaultSearchField>     <!-- SolrQueryParser configuration: defaultOperator="AND|OR" -->     <solrQueryParser defaultOperator="AND"/></schema>

说明：

a)里头定义了一个copyField：searchText，此字段为：subject+content+region+category，并把这个字段设置为默认查询字段。意思是查询时，默认查询四个字段的内容。

b)把solrQueryParser设置为AND，事实上，大多情况下，我们是习惯使用AND为条件查询，而非OR

c)text_cn字段类型中的：useSmart

        <analyzer type="index" class="org.wltea.analyzer.lucene.IKAnalyzer" useSmart="false" />        <analyzer type="query" class="org.wltea.analyzer.lucene.IKAnalyzer" useSmart="true" />

意思是：useSmart =true ，分词器使用智能切分策略， =false则使用细粒度切分。详细，可下载IK分词器的源码看看。

2、加入一个查询Handler到solrconfig.xml的<config/>当中：

    <requestHandler name="/browse" class="solr.SearchHandler" default="true" >        <lst name="defaults">            <str name="defType">edismax</str>            <str name="bf">                sum(linear(vip,1000,0),linear(sqrt(log(linear(point,1,2))),100,0),sqrt(log(ms(createTime))))            </str>            <!--<str name="pf">            searchText            </str>            <str name="qf">            subject^1 content^0.8            </str>-->        </lst>    </requestHandler>

说明：

a)上面的default="true"意思为设置为默认的查询handler（记得把原standard中的default="true"删除掉）

b)见已经被注释的这段：

            <!--<str name="pf">            searchText            </str>            <str name="qf">            subject^1 content^0.8            </str>-->

这是简单的不使用bf的排序加权方式，可以用于应付简单的排序，具体pf/qf的使用，可以上网上搜搜应用。这里演示的功能相对“复杂”，不适用它。

c)见这句公式：

sum(linear(vip,1000,0),linear(sqrt(log(linear(point,1,2))),100,0),sqrt(log(ms(createTime))))

公式中的函数定义和意思，可以参考：

官方文档：

http://wiki.apache.org/solr/FunctionQuery

中文说明：

http://mxsfengg.iteye.com/blog/352191

这里的函数意思是：

如果是vip信息=值+1000，非vip信息=值+0
点击率(point)的值范围为：50~500之间
发布时间(createTime)值范围为：50以内

以上三个值相加得出最统权重分从高到低排序

3、Java bean:

package com.my.entity;import java.util.Date;import org.apache.solr.client.solrj.beans.Field;public class Item {    @Field    private long id;    @Field    private String subject;    @Field    private String content;    @Field    private int regionId;    @Field    private int categoryId;    @Field    private float price;    @Field    private Date createTime;    @Field    private long point;    @Field    private boolean vip;        public long getId() {        return id;    }    public void setId(long id) {        this.id = id;    }    public String getSubject() {        return subject;    }    public void setSubject(String subject) {        this.subject = subject;    }    public String getContent() {        return content;    }    public void setContent(String content) {        this.content = content;    }    public int getRegionId() {        return regionId;    }    public void setRegionId(int regionId) {        this.regionId = regionId;    }    public int getCategoryId() {        return categoryId;    }    public void setCategoryId(int categoryId) {        this.categoryId = categoryId;    }    public float getPrice() {        return price;    }    public void setPrice(float price) {        this.price = price;    }    public Date getCreateTime() {        return createTime;    }    public void setCreateTime(Date createTime) {        this.createTime = createTime;    }    public long getPoint() {        return point;    }    public void setPoint(long point) {        this.point = point;    }    public boolean isVip() {        return vip;    }    public void setVip(boolean vip) {        this.vip = vip;    }}

4、Java测试代码：

package com.my.solr;import java.io.IOException;import java.util.ArrayList;import java.util.Calendar;import java.util.Date;import java.util.HashMap;import java.util.Iterator;import java.util.List;import org.apache.solr.client.solrj.SolrQuery;import org.apache.solr.client.solrj.SolrQuery.ORDER;import org.apache.solr.client.solrj.SolrQuery.SortClause;import org.apache.solr.client.solrj.SolrServerException;import org.apache.solr.client.solrj.impl.HttpSolrServer;import org.apache.solr.client.solrj.impl.XMLResponseParser;import org.apache.solr.client.solrj.response.FacetField;import org.apache.solr.client.solrj.response.FacetField.Count;import org.apache.solr.client.solrj.response.QueryResponse;import org.apache.solr.common.params.AnalysisParams;import org.apache.solr.common.params.CommonParams;import org.apache.solr.common.params.FacetParams;import org.apache.solr.common.util.NamedList;import org.apache.solr.common.util.SimpleOrderedMap;import com.my.entity.Item;public class TestSolr {    private static HashMap<Integer, String> mapRegion = new HashMap<Integer, String>();    private static HashMap<Integer, String> mapCategory = new HashMap<Integer, String>();    @SuppressWarnings("unchecked")    public static void main(String[] args) throws IOException,            SolrServerException {        // ------------------------------------------------------        // Set map        // ------------------------------------------------------        mapRegion.put(1, "罗湖区");        mapRegion.put(2, "南山区");        mapRegion.put(3, "龙岗区");        mapRegion.put(4, "福田区");        mapCategory.put(1, "单间");        mapCategory.put(2, "2房1厅");        mapCategory.put(3, "3房2厅");        mapCategory.put(4, "1房1厅");                String url = "http://localhost:8983/solr/sample5";        HttpSolrServer core = new HttpSolrServer(url);        core.setMaxRetries(1);        core.setConnectionTimeout(5000);        core.setParser(new XMLResponseParser()); // binary parser is used by                                                    // default        core.setSoTimeout(1000); // socket read timeout        core.setDefaultMaxConnectionsPerHost(100);        core.setMaxTotalConnections(100);        core.setFollowRedirects(false); // defaults to false        core.setAllowCompression(true);        // ------------------------------------------------------        // remove all data        // ------------------------------------------------------        core.deleteByQuery("*:*");        List<Item> items = new ArrayList<Item>();        items.add(makeItem(items.size() + 1, "龙城公寓一房一厅", "豪华城城公寓1房1厅，拧包入住", 1, 1, 1200f, 10, false));        items.add(makeItem(items.size() + 1, "兴新宿舍楼 1室0厅", " 中等装修 招女性合租", 1, 1, 1000f, 11, false));        items.add(makeItem(items.size() + 1, "西丽新屋村新宿舍楼单间", " 无敌装修只招女性", 2, 1, 1000f, 2, true));        items.add(makeItem(items.size() + 1, "大芬村信和爱琴居地铁口2房1厅", " 地铁口 + 出行便利=居家首选", 3, 2, 2000f, 5, false));        items.add(makeItem(items.size() + 1, "龙岗富豪花园3房2厅出租", " 离地铁口只要5分钟，快来秒杀吧", 3, 3, 4500f, 21, true));        items.add(makeItem(items.size() + 1, "海景房园3房2厅出租", "海景房园出租，无敌海景，可以看到伦敦", 4, 3, 8500f, 12, false));        items.add(makeItem(items.size() + 1, "天域花园1房1厅", "天域花园，男女不限，入住免水电一月", 2, 4, 1500f, 13, true));        items.add(makeItem(items.size() + 1, "神一样的漂亮，玉馨山庄3房2厅", "心动不如行动，拧包即可入住，来吧！", 1, 3, 9500f, 8, false));        items.add(makeItem(items.size() + 1, "玉馨山庄2房1厅，情侣最爱", "宅男宅女快来吧只要2500，走过路过，别再错过", 1, 2, 2500f, 5, false));        items.add(makeItem(items.size() + 1, "天域花园3房2厅", "天域花园出租，都来看看，都来瞄瞄，3房出租只要7500.", 4, 3, 7500f, 6, true));        items.add(makeItem(items.size() + 1, "深都花园出租3房2厅", "找爱干净的人氏，全新装修", 4, 3, 5200f, 31, false));        items.add(makeItem(items.size() + 1, "This is Mobile test", "haha Hello world!", 4, 3, 1200f, 31, false));        core.addBeans(items);        // commit        core.commit();                // ------------------------------------------------------        // Set search text        // ------------------------------------------------------        String searchText = AnalysisSearchText(core, "出租花园"); //subject:*出租* && price:[1000 TO 8000]        System.out.println("Search Text:" + searchText);                // ------------------------------------------------------        // Set query text        // ------------------------------------------------------        String queryText = searchText + "&& price:[1000 TO 8000]";        System.out.println("Query Text:" + queryText);        // ------------------------------------------------------        // search        // ------------------------------------------------------        SolrQuery query = new SolrQuery();        query.setQuery(queryText);        query.setStart(0); // query的开始行数(分页使用)        query.setRows(100); // query的返回行数(分页使用)        query.setFacet(true); // 设置使用facet        query.setFacetMinCount(0); // 设置facet最少的统计数量        query.setFacetLimit(10); // facet结果的返回行数        query.addFacetField("categoryId", "regionId"); // facet的字段        query.setFacetSort(FacetParams.FACET_SORT_COUNT);        //query.addSort(new SortClause("id", ORDER.asc)); // 排序        query.setRequestHandler("/browse");        QueryResponse response = core.query(query);        List<Item> items_rep = response.getBeans(Item.class);        List<FacetField> facetFields = response.getFacetFields();        // 因为上面的start和rows均设置为0，所以这里不会有query结果输出        System.out.println("--------------------");        System.out.println("Search result:");        for (Item item : items_rep) {            System.out.println("id=" + item.getId() + "\tsubject=" + item.getSubject()                    + "\tregion=" + mapRegion.get(item.getRegionId())                    + "\tcategory=" + mapCategory.get(item.getCategoryId())                    + "\tprice=" + item.getPrice());        }        // 打印所有facet        for (FacetField ff : facetFields) {            System.out.println("--------------------");            System.out.println("name=" + ff.getName() + "\tcount=" + ff.getValueCount());            System.out.println("--------------------");            switch (ff.getName()) {            case "regionId":                printOut(mapRegion, ff.getValues());                break;            case "categoryId":                printOut(mapCategory, ff.getValues());                break;            }        }    }        @SuppressWarnings({ "rawtypes" })    private static void printOut(HashMap map, List<Count> counts) {        for (Count count : counts) {            System.out.println("name=" + map.get(Integer.parseInt(count.getName())) + "\tcount=" + count.getCount());        }        System.out.println("--------------------");    }    private static Item makeItem(long id, String subject, String content, int regionId, int categoryId, float price,            long point, boolean vip) {        Calendar cale = Calendar.getInstance();        cale.setTime(new Date());        cale.add(Calendar.DATE, (int)id);        Item item = new Item();        item.setId(id);        item.setSubject(subject);        item.setContent(content);        item.setRegionId(regionId);        item.setCategoryId(categoryId);        item.setPrice(price);        item.setCreateTime(cale.getTime());        item.setPoint(point);        item.setVip(vip);        return item;    }        @SuppressWarnings("unchecked")    /**     * 重新将需要查询的文本内容解析成分词     * @param core     * @param searchText     * @return     * @throws SolrServerException     */    private static String AnalysisSearchText(HttpSolrServer core, String searchText) throws SolrServerException {        StringBuilder strSearchText = new StringBuilder();        final String STR_FIELD_TYPE = "text_cn";        SolrQuery queryAnalysis = new SolrQuery();        queryAnalysis.add(CommonParams.QT, "/analysis/field"); // query type        queryAnalysis.add(AnalysisParams.FIELD_VALUE, searchText);        queryAnalysis.add(AnalysisParams.FIELD_TYPE, STR_FIELD_TYPE);        QueryResponse responseAnalysis = core.query(queryAnalysis);        //对响应进行解析        NamedList<Object> analysis = (NamedList<Object>) responseAnalysis.getResponse().get("analysis");// analysis node        NamedList<Object> field_types = (NamedList<Object>) analysis.get("field_types");// field_types node        NamedList<Object> fieldType = (NamedList<Object>) field_types.get(STR_FIELD_TYPE);// text_cn node        NamedList<Object> index = (NamedList<Object>) fieldType.get("index");// index node        List<SimpleOrderedMap<String>> list = (ArrayList<SimpleOrderedMap<String>>)index.get("org.wltea.analyzer.lucene.IKTokenizer");// tokenizer node        // 在每个词条中间加上空格，为每个词条进行或运算        for(Iterator<SimpleOrderedMap<String>> iter = list.iterator(); iter.hasNext();)        {            strSearchText.append(iter.next().get("text") + " ");        }        return strSearchText.toString();    }}

说明：

a)AnalysisSearchText(...)方法：此方法会把需要查询的语句先使用分词分析，如上例子“出租花园”，调用AnalysisSearchText(...)后，会得到“出租花园”，会把两个词分拆成以空格分隔的字符串。不然solr会以“出租花园”整体做为词做查询而得不到结果。

b)使用自定义的Handler，需要在代码中加入这句：

query.setRequestHandler("/browse");

对应的是solrconfig.xml中的requestHandler的:/browse

5、运行结果：

或者使用solr的query查询查看结果：

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