Solr的配置及从数据库建立索引
要建立自己的全文检索，一般都需要从数据库导入数据，在原来配置的基础上，增加导入的功能
1、D:\apache-tomcat-7.0.27\solr\conf\solrconfig.xml中增加
Xml代码 收藏代码
<requestHandler name="/dataimport" class="org.apache.solr.handler.dataimport.DataImportHandler">
<lst name="defaults">
<str name="config">data-config.xml</str>
</lst>
</requestHandler>
2、增加D:\apache-tomcat-7.0.27\solr\conf\data-config.xml，内容为数据库的连接信息
Xml代码 收藏代码
<?xml version="1.0" encoding="UTF-8"?>
<dataConfig>
<dataSource type="JdbcDataSource" driver="oracle.jdbc.driver.OracleDriver"
url="jdbc:oracle:thin:@10.74.8.206:1521:orcl"
user="uname"
password="pwd"/>
<document name="zpxx">
<entity name="zpxx" query="select * from vw_zp_fullindex" transformer="ClobTransformer">
<field column="GANG_WEI_BH" name="GANG_WEI_BH" />
<field column="GANG_WEI_MC" name="GANG_WEI_MC" />
<field column="GANG_WEI_MS" name="GANG_WEI_MS" clob="true"/>
<field column="GONG_ZU_DD_ZW" name="GONG_ZU_DD_ZW" />
<field column="QI_TA" name="QI_TA" />
<field column="YUE_XIN" name="YUE_XIN" />
<field column="ZHI_CHENG" name="ZHI_CHENG" />
<field column="GANGWEILB" name="GANGWEILB" />
<field column="COMPID" name="COMPID" />
<field column="DAN_WEI_MC" name="DAN_WEI_MC" />
<field column="DANWEIXZ" name="DANWEIXZ" />
<field column="JING_YING_FW" name="JING_YING_FW" />
<field column="DAN_WEI_JJ" name="DAN_WEI_JJ" clob="true"/>
<field column="DAN_WEI_DZ" name="DAN_WEI_DZ" />
<field column="HANGYELB" name="HANGYELB" />
</entity>
</document>
</dataConfig>
因为有Clob字段，所以需要加上ClobTransformer
3、D:\apache-tomcat-7.0.27\solr\conf\schema.xml文件中增加
Xml代码 收藏代码
<!--自定义Field开始 -->
<field name="GANG_WEI_BH" type="string" indexed="true" stored="true" required="true"/>
<field name="GANG_WEI_MC" type="text" indexed="true" stored="true" />
<field name="GANG_WEI_MS" type="text" indexed="true" stored="true" />
<field name="GONG_ZU_DD_ZW" type="text" indexed="true" stored="true" />
<field name="QI_TA" type="text" indexed="true" stored="true" />
<field name="YUE_XIN" type="text" indexed="true" stored="true" />
<field name="ZHI_CHENG" type="text" indexed="true" stored="true" />
<field name="GANGWEILB" type="text" indexed="true" stored="true" />
<field name="COMPID" type="string" indexed="true" stored="true" />
<field name="DAN_WEI_MC" type="text" indexed="true" stored="true" />
<field name="DANWEIXZ" type="text" indexed="true" stored="true" />
<field name="JING_YING_FW" type="text" indexed="true" stored="true" />
<field name="DAN_WEI_JJ" type="text" indexed="true" stored="true" />
<field name="DAN_WEI_DZ" type="text" indexed="true" stored="true" />
<field name="HANGYELB" type="text" indexed="true" stored="true" />
<!--自定义Field结束 -->
<copyField source="DAN_WEI_JJ" dest="text"/><!--clob字段 -->
<copyField source="GANG_WEI_MS" dest="text"/>
把原有文件中id字段的required="true"去掉，否则导入的时候，会验证id字段，其实自己在做的时候，如果其他字段没有的话，可以删除
3、还要把oracle的jdbc驱动放到D:\apache-tomcat-7.0.27\webapps\solr\WEB-INF\lib
4、http://localhost:8080/solr/dataimport?command=full-import即可以进行导入数据
5、查询则通过http://localhost:8080/solr/admin/进行查询，输入查询字符串（Query String)"DAN_WEI_JJ:计算机"即可以查看全文检索结果
#apt-get install mysql-server-5.0
#apt-get install mysql
2.添加Handler
编辑/opt/solr-tomcat/solr/conf文件夹下的solrconfig.xml文件，在config元素中添加
[xhtml] view plaincopy
< requestHandler name = "/dataimport" class = "org.apache.solr.handler.dataimport.DataImportHandler" >
< lst name = "defaults" >
< str name = "config" > data-config.xml </ str >
</ lst >
</ requestHandler >
3. 在此文件夹中新建一个data-config.xml文件，内容如下
[xhtml] view plaincopy
<dataConfig>
<dataSource type="JdbcDataSource"
driver="com.mysql.jdbc.Driver"
url="jdbc:mysql://127.0.0.1:3306/db_expert"
user="root"
password="root"/>
<document>
<entity name="expert"
query="select id,experName,researchfield,title,workunit,postaladdress,officephone,email,biography from expertinfo">
</entity>
</document>
</dataConfig>
4. 修改schema.xml，找到<fieldType name="text"，将分词器修改为中文分词器，这里用的是包装过的Paoding分词，这个东西好像已经不更新了，以后看看IKAnalyzer吧。
[xhtml] view plaincopy
<fieldType name="text" class="solr.TextField" positionIncrementGap="100">
<analyzer type="index">
<tokenizer class="net.paoding.analysis.analyzer.ChineseTokenizerFactory" mode="most-words"/>
<!-- in this example, we will only use synonyms at query time
<filter class="solr.SynonymFilterFactory" synonyms="index_synonyms.txt" ignoreCase="true" expand="false"/>
-->
<!-- Case insensitive stop word removal.
add enablePositionIncrements=true in both the index and query
analyzers to leave a 'gap' for more accurate phrase queries.
-->
<filter class="solr.StopFilterFactory"
ignoreCase="true"
words="stopwords.txt"
enablePositionIncrements="true"
/>
<filter class="solr.WordDelimiterFilterFactory" generateWordParts="1" generateNumberParts="1" catenateWords="1" catenateNumbers="1" catenateAll="0" splitOnCaseChange="1"/>
<filter class="solr.LowerCaseFilterFactory"/>
<filter class="solr.SnowballPorterFilterFactory" language="English" protected="protwords.txt"/>
<filter class="solr.RemoveDuplicatesTokenFilterFactory"/>
</analyzer>
<analyzer type="query">
<tokenizer class="net.paoding.analysis.analyzer.ChineseTokenizerFactory" mode="most-words"/>
<filter class="solr.SynonymFilterFactory" synonyms="synonyms.txt" ignoreCase="true" expand="true"/>
<filter class="solr.StopFilterFactory"
ignoreCase="true"
words="stopwords.txt"
enablePositionIncrements="true"
/>
<filter class="solr.WordDelimiterFilterFactory" generateWordParts="1" generateNumberParts="1" catenateWords="0" catenateNumbers="0" catenateAll="0" splitOnCaseChange="1"/>
<filter class="solr.LowerCaseFilterFactory"/>
<filter class="solr.RemoveDuplicatesTokenFilterFactory"/>
<filter class="solr.SnowballPorterFilterFactory" language="English" protected="protwords.txt"/>
</analyzer>
</fieldType>
原来的schema.xml中没有的字段自己添加上。schema.xml默认是UTF-8编码。首先在<fields></fields>里添加要索引的域。
注意：数据库的表的主键的名字最好是id，以后才好办。
[xhtml] view plaincopy
<field name="id" type="int" indexed="true" stored="true" required="true" />
<field name="experName" type="text" indexed="true" stored="true"/>
<field name="researchfield" type="text" indexed="true" stored="true"/>
<field name="title" type="text" indexed="true" stored="true"/>
<field name="workunit" type="text" indexed="true" stored="true"/>
<field name="postaladdress" type="text" indexed="true" stored="true"/>
<field name="officephone" type="text" indexed="true" stored="true"/>
<field name="email" type="text" indexed="true" stored="true"/>
<field name="biography" type="text" indexed="true" stored="true"/>
然后在<solrQueryParser defaultOperator="OR"/>下面添加下面行。
[xhtml] view plaincopy
<copyField source="experName" dest="text" />
<copyField source="researchfield" dest="text" />
<copyField source="title" dest="text" />
<copyField source="workunit" dest="text" />
<copyField source="postaladdress" dest="text" />
<copyField source="officephone" dest="text" />
<copyField source="email" dest="text" />
<copyField source="biography" dest="text" />
5. 包装Paoding的分词器
[java] view plaincopy
1. package net.paoding.analysis.analyzer;
2.
3. import java.io.Reader;
4. import java.util.Map;
5.
6. import net.paoding.analysis.analyzer.impl.MaxWordLengthTokenCollector;
7. import net.paoding.analysis.analyzer.impl.MostWordsTokenCollector;
8. import net.paoding.analysis.knife.PaodingMaker;
9.
10. import org.apache.lucene.analysis.Tokenizer;
11. import org.apache.solr.analysis.BaseTokenizerFactory;
12.
13. /**
14. * Created by IntelliJ IDEA.
15. * User: ronghao
16. * Date: 2007-11-3
17. * Time: 14:40:59 中文切词 对庖丁切词的封装
18. */
19. public class ChineseTokenizerFactory extends BaseTokenizerFactory {
20. /**
21. * 最多切分 默认模式
22. */
23. public static final String MOST_WORDS_MODE = "most-words" ;
24. /**
25. * 按最大切分
26. */
27. public static final String MAX_WORD_LENGTH_MODE = "max-word-length" ;
28.
29. private String mode = null ;
30.
31. public void setMode(String mode) {
32. if (mode == null || MOST_WORDS_MODE.equalsIgnoreCase(mode) || "default" .equalsIgnoreCase(mode)) {
33. this .mode = MOST_WORDS_MODE;
34. } else if (MAX_WORD_LENGTH_MODE.equalsIgnoreCase(mode)) {
35. this .mode = MAX_WORD_LENGTH_MODE;
36. } else {
37. throw new IllegalArgumentException( "不合法的分析器Mode参数设置:" + mode);
38. }
39. }
40.
41. @Override
42. public void init(Map<String, String> args) {
43. super .init(args);
44. setMode(args.get("mode" ));
45. }
46.
47. public Tokenizer create(Reader input) {
48. return new PaodingTokenizer2(input, PaodingMaker.make(), createTokenCollector());
49. }
50.
51. private TokenCollector createTokenCollector() {
52. if (MOST_WORDS_MODE.equals(mode))
53. return new MostWordsTokenCollector();
54. if (MAX_WORD_LENGTH_MODE.equals(mode))
55. return new MaxWordLengthTokenCollector();
56. throw new Error( "never happened" );
57. }
58. }
Java代码 收藏代码
1. package net.paoding.analysis.analyzer;
2.
3. import java.io.Reader;
4. import java.util.Map;
5.
6. import net.paoding.analysis.analyzer.impl.MaxWordLengthTokenCollector;
7. import net.paoding.analysis.analyzer.impl.MostWordsTokenCollector;
8. import net.paoding.analysis.knife.PaodingMaker;
9.
10. import org.apache.lucene.analysis.Tokenizer;
11. import org.apache.solr.analysis.BaseTokenizerFactory;
12.
13. /**
14. * Created by IntelliJ IDEA.
15. * User: ronghao
16. * Date: 2007-11-3
17. * Time: 14:40:59 中文切词 对庖丁切词的封装
18. */
19. public class ChineseTokenizerFactory extends BaseTokenizerFactory {
20. /**
21. * 最多切分 默认模式
22. */
23. public static final String MOST_WORDS_MODE = "most-words";
24. /**
25. * 按最大切分
26. */
27. public static final String MAX_WORD_LENGTH_MODE = "max-word-length";
28.
29. private String mode = null;
30.
31. public void setMode(String mode) {
32. if (mode == null || MOST_WORDS_MODE.equalsIgnoreCase(mode) || "default".equalsIgnoreCase(mode)) {
33. this.mode = MOST_WORDS_MODE;
34. } else if (MAX_WORD_LENGTH_MODE.equalsIgnoreCase(mode)) {
35. this.mode = MAX_WORD_LENGTH_MODE;
36. } else {
37. throw new IllegalArgumentException("不合法的分析器Mode参数设置:" + mode);
38. }
39. }
40.
41. @Override
42. public void init(Map<String, String> args) {
43. super.init(args);
44. setMode(args.get("mode"));
45. }
46.
47. public Tokenizer create(Reader input) {
48. return new PaodingTokenizer(input, PaodingMaker.make(), this.createTokenCollector());
49. }
50.
51. private TokenCollector createTokenCollector() {
52. if (MOST_WORDS_MODE.equals(mode))
53. return new MostWordsTokenCollector();
54. if (MAX_WORD_LENGTH_MODE.equals(mode))
55. return new MaxWordLengthTokenCollector();
56. throw new Error("never happened");
57. }
58. }
这两个修改的类就放在/opt/tomcat/webapps/solr中，在压缩包的WEB-INF文件夹中新建classes文件夹，将这两个类连同包层次复制进去就行。
6.设置PAODING_DIC_HOME的环境变量，指向Paoding词典文件的位置。（比如/opt/dic）
#vim /etc/profile
添加下面的环境变量
JAVA_HOME=/usr/lib/jvm/java-6-openjdk
CLASSPATH=.:/usr/lib/jvm/java-6-openjdk/lib
ANT_HOME=/usr/share/ant
PATH="$JAVA_HOME/lib:$ANT_HOME/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games"
PAODING_DIC_HOME=/opt/dic
export JAVA_HOME
export CLASSPATH
export ANT_HOME
export PATH
export PAODING_DIC_HOME
7. 将Paoding和数据库驱动放到/opt/tomcat/webapps/solr/WEB-INF/lib中。
进入浏览器，运行
http://localhost:8983/solr/dataimport?command=full-import
导入成功后，运行
http://localhost:8983/solr/admin/
在搜索框中输入搜索内容进行查询
现在就完成了数据库的索引了。
1、D:\apache-tomcat-7.0.27\solr\conf\solrconfig.xml中增加
Xml代码 收藏代码
<requestHandler name="/dataimport" class="org.apache.solr.handler.dataimport.DataImportHandler">
<lst name="defaults">
<str name="config">data-config.xml</str>
</lst>
</requestHandler>
2、增加D:\apache-tomcat-7.0.27\solr\conf\data-config.xml，内容为数据库的连接信息
Xml代码 收藏代码
<?xml version="1.0" encoding="UTF-8"?>
<dataConfig>
<dataSource type="JdbcDataSource" driver="oracle.jdbc.driver.OracleDriver"
url="jdbc:oracle:thin:@10.74.8.206:1521:orcl"
user="uname"
password="pwd"/>
<document name="zpxx">
<entity name="zpxx" query="select * from vw_zp_fullindex" transformer="ClobTransformer">
<field column="GANG_WEI_BH" name="GANG_WEI_BH" />
<field column="GANG_WEI_MC" name="GANG_WEI_MC" />
<field column="GANG_WEI_MS" name="GANG_WEI_MS" clob="true"/>
<field column="GONG_ZU_DD_ZW" name="GONG_ZU_DD_ZW" />
<field column="QI_TA" name="QI_TA" />
<field column="YUE_XIN" name="YUE_XIN" />
<field column="ZHI_CHENG" name="ZHI_CHENG" />
<field column="GANGWEILB" name="GANGWEILB" />
<field column="COMPID" name="COMPID" />
<field column="DAN_WEI_MC" name="DAN_WEI_MC" />
<field column="DANWEIXZ" name="DANWEIXZ" />
<field column="JING_YING_FW" name="JING_YING_FW" />
<field column="DAN_WEI_JJ" name="DAN_WEI_JJ" clob="true"/>
<field column="DAN_WEI_DZ" name="DAN_WEI_DZ" />
<field column="HANGYELB" name="HANGYELB" />
</entity>
</document>
</dataConfig>
因为有Clob字段，所以需要加上ClobTransformer
3、D:\apache-tomcat-7.0.27\solr\conf\schema.xml文件中增加
Xml代码 收藏代码
<!--自定义Field开始 -->
<field name="GANG_WEI_BH" type="string" indexed="true" stored="true" required="true"/>
<field name="GANG_WEI_MC" type="text" indexed="true" stored="true" />
<field name="GANG_WEI_MS" type="text" indexed="true" stored="true" />
<field name="GONG_ZU_DD_ZW" type="text" indexed="true" stored="true" />
<field name="QI_TA" type="text" indexed="true" stored="true" />
<field name="YUE_XIN" type="text" indexed="true" stored="true" />
<field name="ZHI_CHENG" type="text" indexed="true" stored="true" />
<field name="GANGWEILB" type="text" indexed="true" stored="true" />
<field name="COMPID" type="string" indexed="true" stored="true" />
<field name="DAN_WEI_MC" type="text" indexed="true" stored="true" />
<field name="DANWEIXZ" type="text" indexed="true" stored="true" />
<field name="JING_YING_FW" type="text" indexed="true" stored="true" />
<field name="DAN_WEI_JJ" type="text" indexed="true" stored="true" />
<field name="DAN_WEI_DZ" type="text" indexed="true" stored="true" />
<field name="HANGYELB" type="text" indexed="true" stored="true" />
<!--自定义Field结束 -->
<copyField source="DAN_WEI_JJ" dest="text"/><!--clob字段 -->
<copyField source="GANG_WEI_MS" dest="text"/>
把原有文件中id字段的required="true"去掉，否则导入的时候，会验证id字段，其实自己在做的时候，如果其他字段没有的话，可以删除
3、还要把oracle的jdbc驱动放到D:\apache-tomcat-7.0.27\webapps\solr\WEB-INF\lib
4、http://localhost:8080/solr/dataimport?command=full-import即可以进行导入数据
5、查询则通过http://localhost:8080/solr/admin/进行查询，输入查询字符串（Query String)"DAN_WEI_JJ:计算机"即可以查看全文检索结果
#apt-get install mysql-server-5.0
#apt-get install mysql
2.添加Handler
编辑/opt/solr-tomcat/solr/conf文件夹下的solrconfig.xml文件，在config元素中添加
[xhtml] view plaincopy
< requestHandler name = "/dataimport" class = "org.apache.solr.handler.dataimport.DataImportHandler" >
< lst name = "defaults" >
< str name = "config" > data-config.xml </ str >
</ lst >
</ requestHandler >
3. 在此文件夹中新建一个data-config.xml文件，内容如下
[xhtml] view plaincopy
<dataConfig>
<dataSource type="JdbcDataSource"
driver="com.mysql.jdbc.Driver"
url="jdbc:mysql://127.0.0.1:3306/db_expert"
user="root"
password="root"/>
<document>
<entity name="expert"
query="select id,experName,researchfield,title,workunit,postaladdress,officephone,email,biography from expertinfo">
</entity>
</document>
</dataConfig>
4. 修改schema.xml，找到<fieldType name="text"，将分词器修改为中文分词器，这里用的是包装过的Paoding分词，这个东西好像已经不更新了，以后看看IKAnalyzer吧。
[xhtml] view plaincopy
<fieldType name="text" class="solr.TextField" positionIncrementGap="100">
<analyzer type="index">
<tokenizer class="net.paoding.analysis.analyzer.ChineseTokenizerFactory" mode="most-words"/>
<!-- in this example, we will only use synonyms at query time
<filter class="solr.SynonymFilterFactory" synonyms="index_synonyms.txt" ignoreCase="true" expand="false"/>
-->
<!-- Case insensitive stop word removal.
add enablePositionIncrements=true in both the index and query
analyzers to leave a 'gap' for more accurate phrase queries.
-->
<filter class="solr.StopFilterFactory"
ignoreCase="true"
words="stopwords.txt"
enablePositionIncrements="true"
/>
<filter class="solr.WordDelimiterFilterFactory" generateWordParts="1" generateNumberParts="1" catenateWords="1" catenateNumbers="1" catenateAll="0" splitOnCaseChange="1"/>
<filter class="solr.LowerCaseFilterFactory"/>
<filter class="solr.SnowballPorterFilterFactory" language="English" protected="protwords.txt"/>
<filter class="solr.RemoveDuplicatesTokenFilterFactory"/>
</analyzer>
<analyzer type="query">
<tokenizer class="net.paoding.analysis.analyzer.ChineseTokenizerFactory" mode="most-words"/>
<filter class="solr.SynonymFilterFactory" synonyms="synonyms.txt" ignoreCase="true" expand="true"/>
<filter class="solr.StopFilterFactory"
ignoreCase="true"
words="stopwords.txt"
enablePositionIncrements="true"
/>
<filter class="solr.WordDelimiterFilterFactory" generateWordParts="1" generateNumberParts="1" catenateWords="0" catenateNumbers="0" catenateAll="0" splitOnCaseChange="1"/>
<filter class="solr.LowerCaseFilterFactory"/>
<filter class="solr.RemoveDuplicatesTokenFilterFactory"/>
<filter class="solr.SnowballPorterFilterFactory" language="English" protected="protwords.txt"/>
</analyzer>
</fieldType>
原来的schema.xml中没有的字段自己添加上。schema.xml默认是UTF-8编码。首先在<fields></fields>里添加要索引的域。
注意：数据库的表的主键的名字最好是id，以后才好办。
[xhtml] view plaincopy
<field name="id" type="int" indexed="true" stored="true" required="true" />
<field name="experName" type="text" indexed="true" stored="true"/>
<field name="researchfield" type="text" indexed="true" stored="true"/>
<field name="title" type="text" indexed="true" stored="true"/>
<field name="workunit" type="text" indexed="true" stored="true"/>
<field name="postaladdress" type="text" indexed="true" stored="true"/>
<field name="officephone" type="text" indexed="true" stored="true"/>
<field name="email" type="text" indexed="true" stored="true"/>
<field name="biography" type="text" indexed="true" stored="true"/>
然后在<solrQueryParser defaultOperator="OR"/>下面添加下面行。
[xhtml] view plaincopy
<copyField source="experName" dest="text" />
<copyField source="researchfield" dest="text" />
<copyField source="title" dest="text" />
<copyField source="workunit" dest="text" />
<copyField source="postaladdress" dest="text" />
<copyField source="officephone" dest="text" />
<copyField source="email" dest="text" />
<copyField source="biography" dest="text" />
5. 包装Paoding的分词器
[java] view plaincopy
1. package net.paoding.analysis.analyzer;
2.
3. import java.io.Reader;
4. import java.util.Map;
5.
6. import net.paoding.analysis.analyzer.impl.MaxWordLengthTokenCollector;
7. import net.paoding.analysis.analyzer.impl.MostWordsTokenCollector;
8. import net.paoding.analysis.knife.PaodingMaker;
9.
10. import org.apache.lucene.analysis.Tokenizer;
11. import org.apache.solr.analysis.BaseTokenizerFactory;
12.
13. /**
14. * Created by IntelliJ IDEA.
15. * User: ronghao
16. * Date: 2007-11-3
17. * Time: 14:40:59 中文切词 对庖丁切词的封装
18. */
19. public class ChineseTokenizerFactory extends BaseTokenizerFactory {
20. /**
21. * 最多切分 默认模式
22. */
23. public static final String MOST_WORDS_MODE = "most-words" ;
24. /**
25. * 按最大切分
26. */
27. public static final String MAX_WORD_LENGTH_MODE = "max-word-length" ;
28.
29. private String mode = null ;
30.
31. public void setMode(String mode) {
32. if (mode == null || MOST_WORDS_MODE.equalsIgnoreCase(mode) || "default" .equalsIgnoreCase(mode)) {
33. this .mode = MOST_WORDS_MODE;
34. } else if (MAX_WORD_LENGTH_MODE.equalsIgnoreCase(mode)) {
35. this .mode = MAX_WORD_LENGTH_MODE;
36. } else {
37. throw new IllegalArgumentException( "不合法的分析器Mode参数设置:" + mode);
38. }
39. }
40.
41. @Override
42. public void init(Map<String, String> args) {
43. super .init(args);
44. setMode(args.get("mode" ));
45. }
46.
47. public Tokenizer create(Reader input) {
48. return new PaodingTokenizer2(input, PaodingMaker.make(), createTokenCollector());
49. }
50.
51. private TokenCollector createTokenCollector() {
52. if (MOST_WORDS_MODE.equals(mode))
53. return new MostWordsTokenCollector();
54. if (MAX_WORD_LENGTH_MODE.equals(mode))
55. return new MaxWordLengthTokenCollector();
56. throw new Error( "never happened" );
57. }
58. }
Java代码 收藏代码
1. package net.paoding.analysis.analyzer;
2.
3. import java.io.Reader;
4. import java.util.Map;
5.
6. import net.paoding.analysis.analyzer.impl.MaxWordLengthTokenCollector;
7. import net.paoding.analysis.analyzer.impl.MostWordsTokenCollector;
8. import net.paoding.analysis.knife.PaodingMaker;
9.
10. import org.apache.lucene.analysis.Tokenizer;
11. import org.apache.solr.analysis.BaseTokenizerFactory;
12.
13. /**
14. * Created by IntelliJ IDEA.
15. * User: ronghao
16. * Date: 2007-11-3
17. * Time: 14:40:59 中文切词 对庖丁切词的封装
18. */
19. public class ChineseTokenizerFactory extends BaseTokenizerFactory {
20. /**
21. * 最多切分 默认模式
22. */
23. public static final String MOST_WORDS_MODE = "most-words";
24. /**
25. * 按最大切分
26. */
27. public static final String MAX_WORD_LENGTH_MODE = "max-word-length";
28.
29. private String mode = null;
30.
31. public void setMode(String mode) {
32. if (mode == null || MOST_WORDS_MODE.equalsIgnoreCase(mode) || "default".equalsIgnoreCase(mode)) {
33. this.mode = MOST_WORDS_MODE;
34. } else if (MAX_WORD_LENGTH_MODE.equalsIgnoreCase(mode)) {
35. this.mode = MAX_WORD_LENGTH_MODE;
36. } else {
37. throw new IllegalArgumentException("不合法的分析器Mode参数设置:" + mode);
38. }
39. }
40.
41. @Override
42. public void init(Map<String, String> args) {
43. super.init(args);
44. setMode(args.get("mode"));
45. }
46.
47. public Tokenizer create(Reader input) {
48. return new PaodingTokenizer(input, PaodingMaker.make(), this.createTokenCollector());
49. }
50.
51. private TokenCollector createTokenCollector() {
52. if (MOST_WORDS_MODE.equals(mode))
53. return new MostWordsTokenCollector();
54. if (MAX_WORD_LENGTH_MODE.equals(mode))
55. return new MaxWordLengthTokenCollector();
56. throw new Error("never happened");
57. }
58. }
这两个修改的类就放在/opt/tomcat/webapps/solr中，在压缩包的WEB-INF文件夹中新建classes文件夹，将这两个类连同包层次复制进去就行。
6.设置PAODING_DIC_HOME的环境变量，指向Paoding词典文件的位置。（比如/opt/dic）
#vim /etc/profile
添加下面的环境变量
JAVA_HOME=/usr/lib/jvm/java-6-openjdk
CLASSPATH=.:/usr/lib/jvm/java-6-openjdk/lib
ANT_HOME=/usr/share/ant
PATH="$JAVA_HOME/lib:$ANT_HOME/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games"
PAODING_DIC_HOME=/opt/dic
export JAVA_HOME
export CLASSPATH
export ANT_HOME
export PATH
export PAODING_DIC_HOME
7. 将Paoding和数据库驱动放到/opt/tomcat/webapps/solr/WEB-INF/lib中。
进入浏览器，运行
http://localhost:8983/solr/dataimport?command=full-import
导入成功后，运行
http://localhost:8983/solr/admin/
在搜索框中输入搜索内容进行查询
现在就完成了数据库的索引了。