标签:between catalina splay rdl select defaults back hot copy
转载请出自出处:http://www.cnblogs.com/hd3013779515/
我们基于Solr4.10.3版本进行安装配置SolrCloud集群,通过实践来实现索引数据的分布存储和检索。
一、准备工作
1.服务器
solrcloud01 192.168.137.171
solrcloud02 192.168.137.172
solrcloud03 192.168.137.173
2.资源文件
上传到/home/test
apache-solr-dataimportscheduler.jar 数据导入定时器
IK Analyzer 2012FF_hf1.zip 中文分词器
solr-4.10.3.tgz.tar
zookeeper-3.4.5.tar.gz
mysql-connector-java-3.1.13-bin.jar
3.安装目录准备
mkdir -p /home/solr/cloud
cd /home/solr/cloud
mkdir lib multicore data
二、zookeeper集群搭建
在3台服务器中搭建zookeeper服务。
进行解压: tar -zxvf zookeeper-3.4.5.tar.gz
重命名: mv zookeeper-3.4.5 /usr/local/zookeeper
修改环境变量: vi /etc/profile
export ZOOKEEPER_HOME=/usr/local/zookeeper
export PATH=.:$ZOOKEEPER_HOME/bin:$JAVA_HOME/bin:$PATH
刷新: source /etc/profile
到zookeeper下修改配置文件
cd /usr/local/zookeeper/conf
mv zoo_sample.cfg zoo.cfg
修改conf: vi zoo.cfg 修改两处
dataDir=/usr/local/zookeeper/data
最后面添加
server.0=bhz:2888:3888
server.1=hadoop1:2888:3888
server.2=hadoop2:2888:3888
服务器标识配置:cd /usr/local/zookeeper/
创建文件夹:mkdir data
cd data
创建文件myid并填写内容为0:vi myid (内容为服务器标识 : 0)
其他两个服务器的值修改为1和2
启动zookeeper:
路径:/usr/local/zookeeper/bin
执行:zkServer.sh start (注意这里3台机器都要进行启动)
状态:zkServer.sh status(在三个节点上检验zk的mode,一个leader和俩个follower)
停止:zkServer.sh stop
启动验证:输入jps,存在 QuorumPeerMain 进程的话,就说明 Zookeeper 启动成功了。
三、SolrCloud集群搭建
首先在一个节点上对SOLR进行配置,我们选择192.168.137.171节点。
1.SOLR基本配置
(1)解压solr tar文件并把solr.war文件copy到tomcat的webapps下面
cd /home/test
tar -zxvf solr-4.10.3.tgz.tar -C /usr/local
cp /usr/local/solr-4.10.3/example/webapps/solr.war /home/tomcat6/webapps/
cd /home/tomcat6/webapps/ && mkdir solr-cloud && unzip solr.war -d solr-cloud && rm -rf solr.war
(2)copy日志关联jar到solr工程的lib下面
cp /usr/local/solr-4.10.3/example/lib/ext/*.jar /home/tomcat6/webapps/solr-cloud/WEB-INF/lib/
cp /home/tomcat6/webapps/solr-cloud/WEB-INF/lib/*.jar /home/solr/cloud/lib/
(3)增加log配置文件
mkdir -p /home/tomcat6/webapps/solr-cloud/WEB-INF/classes
cp /usr/local/solr-4.10.3/example/resources/log4j.properties /home/tomcat6/webapps/solr-cloud/WEB-INF/classes/
(4)修改编码
vim /home/tomcat6/conf/server.xml里面加上编码设置
(5)slor core配置文件
首先建立关联目录
cd /home/solr/cloud/multicore && mkdir collection1 && touch solr.xml zoo.cfg && cd collection1 && mkdir conf data && cd conf && touch schema.xml solrconfig.xml solrcore.properties
其次写好配置文件
vim /home/solr/cloud/multicore/collection1/conf/schema.xml
<?xml version="1.0" ?> <schema name="example core two" version="1.1"> <field name="id" type="string" indexed="true" stored="true" multiValued="false" required="true" /> <field name="stu_name" type="text_ik" indexed="true" stored="true" multiValued="false" /> <field name="stu_sex" type="int" indexed="true" stored="true" multiValued="false" /> <field name="stu_address" type="text_ik" indexed="true" stored="true" multiValued="false" /> <field name="_version_" type="long" indexed="true" stored="true" /> <fieldType name="int" class="solr.TrieIntField" precisionStep="0" positionIncrementGap="0"/> <fieldType name="long" class="solr.TrieLongField" precisionStep="0" positionIncrementGap="0"/> <fieldType name="string" class="solr.StrField" sortMissingLast="true" /> <fieldType name="text_ik" class="solr.TextField"> <analyzer type="index" class="org.wltea.analyzer.lucene.IKAnalyzer" isMaxWordLength="false"/> <analyzer type="query" class="org.wltea.analyzer.lucene.IKAnalyzer" isMaxWordLength="true"/> </fieldType> <uniqueKey>id</uniqueKey> <defaultSearchField>stu_name</defaultSearchField> <solrQueryParser defaultOperator="OR" /> </schema>
vim /home/solr/cloud/multicore/collection1/conf/solrconfig.xml
<?xml version="1.0" encoding="UTF-8" ?> <config> <luceneMatchVersion>4.10.3</luceneMatchVersion> <directoryFactory name="DirectoryFactory" class="${solr.directoryFactory:solr.StandardDirectoryFactory}"/> <dataDir>${solr.shard.data.dir:}</dataDir> <schemaFactory class="ClassicIndexSchemaFactory"/> <updateHandler class="solr.DirectUpdateHandler2"> <updateLog> <str name="dir">${solr.shard.data.dir:}</str> </updateLog> </updateHandler> <requestHandler name="/update/csv" class="solr.CSVRequestHandler" startup="lazy"> <lst name="defaults"> <str name="separator">,</str> <str name="header">true</str> <str name="encapsulator">"</str> </lst> </requestHandler> <!-- realtime get handler, guaranteed to return the latest stored fields of any document, without the need to commit or open a new searcher. The current implementation relies on the updateLog feature being enabled. --> <requestHandler name="/get" class="solr.RealTimeGetHandler"> <lst name="defaults"> <str name="omitHeader">true</str> </lst> </requestHandler> <requestHandler name="/replication" class="solr.ReplicationHandler" startup="lazy" /> <requestDispatcher handleSelect="true" > <requestParsers enableRemoteStreaming="false" multipartUploadLimitInKB="2048" formdataUploadLimitInKB="2048" /> </requestDispatcher> <requestHandler name="standard" class="solr.StandardRequestHandler" default="true" /> <requestHandler name="/analysis/field" startup="lazy" class="solr.FieldAnalysisRequestHandler" /> <requestHandler name="/update" class="solr.UpdateRequestHandler" /> <requestHandler name="/admin/" class="org.apache.solr.handler.admin.AdminHandlers" /> <requestHandler name="/admin/ping" class="solr.PingRequestHandler"> <lst name="invariants"> <str name="q">solrpingquery</str> </lst> <lst name="defaults"> <str name="echoParams">all</str> </lst> </requestHandler> <requestHandler name="/dataimport" class="org.apache.solr.handler.dataimport.DataImportHandler"> <lst name="defaults"> <str name="config">data-config.xml</str> </lst> </requestHandler> <query> <maxBooleanClauses>1024</maxBooleanClauses> <filterCache class="solr.FastLRUCache" size="512" initialSize="512" autowarmCount="0"/> <queryResultCache class="solr.LRUCache" size="512" initialSize="512" autowarmCount="0"/> <documentCache class="solr.LRUCache" size="512" initialSize="512" autowarmCount="0"/> <!-- custom cache currently used by block join --> <cache name="perSegFilter" class="solr.search.LRUCache" size="10" initialSize="0" autowarmCount="10" regenerator="solr.NoOpRegenerator" /> <enableLazyFieldLoading>true</enableLazyFieldLoading> <queryResultWindowSize>20</queryResultWindowSize> <queryResultMaxDocsCached>200</queryResultMaxDocsCached> <listener event="newSearcher" class="solr.QuerySenderListener"> <arr name="queries"> </arr> </listener> <listener event="firstSearcher" class="solr.QuerySenderListener"> <arr name="queries"> <lst> <str name="q">static firstSearcher warming in solrconfig.xml</str> </lst> </arr> </listener> <useColdSearcher>false</useColdSearcher> <maxWarmingSearchers>2</maxWarmingSearchers> </query> <!-- config for the admin interface --> <admin> <defaultQuery>solr</defaultQuery> </admin> </config>
vim /home/solr/cloud/multicore/collection1/conf/solrcore.properties
solr.shard.data.dir=/home/solr/cloud/data
属性solr.shard.data.dir在solrconfig.xml文件中被引用过,指定索引数据的存放位置。
vim /home/solr/cloud/multicore/solr.xml
该文件中指定了ZooKeeper的相关配置,已经Solr Core的配置内容:
<?xml version="1.0" encoding="UTF-8" ?> <solr persistent="true"> <cores defaultCoreName="collection1" host="${host:}" adminPath="/admin/cores" zkClientTimeout="${zkClientTimeout:15000}" hostPort="8080" hostContext="${hostContext:solr-cloud}"> </cores> </solr>
注意:这里,我们并没有配置任何的core元素,这个等到整个配置安装完成之后,通过SOLR提供的REST接口,来实现Collection以及Shard的创建,从而来更新这些配置文件。
vim /home/solr/cloud/multicore/zoo.cfg
# The number of milliseconds of each tick tickTime=2000 # The number of ticks that the initial # synchronization phase can take initLimit=10 # The number of ticks that can pass between # sending a request and getting an acknowledgement syncLimit=5 # the directory where the snapshot is stored. # dataDir=/opt/zookeeper/data # NOTE: Solr defaults the dataDir to <solrHome>/zoo_data # the port at which the clients will connect # clientPort=2181 # NOTE: Solr sets this based on zkRun / zkHost params
(6)DIH全量增量从Mysql数据库导入数据的配置
cp /usr/local/solr-4.10.3/dist/solr-dataimporthandler-4.10.3.jar /home/tomcat6/webapps/solr-cloud/WEB-INF/lib/
cp /home/test/mysql-connector-java-3.1.13-bin.jar /home/tomcat6/webapps/solr-cloud/WEB-INF/lib/
vim /home/solr/cloud/multicore/collection1/conf/data-config.xml
<?xml version="1.0" encoding="UTF-8"?> <dataConfig> <dataSource type="JdbcDataSource" driver="com.mysql.jdbc.Driver" url="jdbc:mysql://192.168.137.171:3306/solr" user="root" password="root" batchSize="-1" /> <document name="testDoc"> <entity name="student" pk="id" query="select * from student where isDeleted=0" deltaImportQuery="select * from student where id=‘${dih.delta.id}‘" deltaQuery="select id from student where updateTime> ‘${dataimporter.last_index_time}‘ and isDeleted=0" deletedPkQuery="select id from student where isDeleted=1"> <field column="id" name="id"/> <field column="stu_name" name="stu_name"/> <field column="stu_sex" name="stu_sex"/> <field column="stu_address" name="stu_address"/> </entity> </document> </dataConfig>
cp /home/test/apache-solr-dataimportscheduler.jar /home/tomcat6/webapps/solr-cloud/WEB-INF/lib/
vim /home/tomcat6/webapps/solr-cloud/WEB-INF/web.xml
为<web-app>元素添加一个子元素
<listener> <listener-class> org.apache.solr.handler.dataimport.scheduler.ApplicationListener </listener-class> </listener>
mkdir –p /home/solr/cloud/multicore/conf
vim /home/solr/cloud/multicore/conf/dataimport.properties
下面是最终我的自动定时更新配置文件内容:syncCores需要在各服务器单独配置
################################################# # # # dataimport scheduler properties # # # ################################################# # to sync or not to sync # 1 - active; anything else - inactive syncEnabled=1 # which cores to schedule # in a multi-core environment you can decide which cores you want syncronized # leave empty or comment it out if using single-core deployment # syncCores=game,resource syncCores=myc_shard2_replica1 # solr server name or IP address # [defaults to localhost if empty] server= # solr server port # [defaults to 80 if empty] port=8080 # application name/context # [defaults to current ServletContextListener‘s context (app) name] webapp=solr-cloud # URLparams [mandatory] # remainder of URL #http://localhost:8983/solr/collection1/dataimport?command=delta-import&clean=false&commit=true params=/dataimport?command=delta-import&clean=false&commit=true # schedule interval # number of minutes between two runs # [defaults to 30 if empty] interval=1 # 重做索引的时间间隔,单位分钟,默认7200,即1天; # 为空,为0,或者注释掉:表示永不重做索引 reBuildIndexInterval=0 # 重做索引的参数 reBuildIndexParams=/dataimport?command=full-import&clean=true&commit=true # 重做索引时间间隔的计时开始时间,第一次真正执行的时间=reBuildIndexBeginTime+reBuildIndexInterval*60*1000; # 两种格式:2012-04-11 03:10:00 或者 03:10:00,后一种会自动补全日期部分为服务启动时的日期 reBuildIndexBeginTime=03:10:00
(7)中文分词器关联配置
cd /home/test
unzip IK\ Analyzer\ 2012FF_hf1.zip -d IK
cd /home/test/IK
cp IKAnalyzer2012FF_u1.jar /home/tomcat6/webapps/solr-cloud/WEB-INF/lib/
cp IKAnalyzer.cfg.xml stopword.dic /home/tomcat6/webapps/solr-cloud/WEB-INF/classes/
2.ZooKeeper管理监控配置文件
SolrCloud是通过ZooKeeper集群来保证配置文件的变更及时同步到各个节点上,所以,需要将配置文件上传到ZooKeeper集群中:
java -classpath .:/home/solr/cloud/lib/* org.apache.solr.cloud.ZkCLI -cmd upconfig -zkhost 192.168.137.171:2181,192.168.137.172:2181,192.168.137.173:2181 -confdir /home/solr/cloud/multicore/collection1/conf -confname myconf
java -classpath .:/home/solr/cloud/lib/* org.apache.solr.cloud.ZkCLI -cmd linkconfig -collection collection1 -confname myconf -zkhost 192.168.137.171:2181,192.168.137.172:2181,192.168.137.173:2181
上传完成以后,我们检查一下ZooKeeper上的存储情况:
zkCli.sh -server 192.168.137.171:2181
vim /home/tomcat6/bin/catalina.sh
在Tomcat的启动脚本bin/catalina.sh中,增加如下配置:
JAVA_OPTS="-server -Xmx128m -Xms128m -verbose:gc -Xloggc:solr_gc.log -Dsolr.solr.home=/home/solr/cloud/multicore -DzkHost=192.168.137.171:2181,192.168.137.172:2181,192.168.137.173:2181"
启动Tomcat服务器:
/home/tomcat6/bin/catalina.sh start
查看日志:
tail -100f /home/tomcat6/logs/catalina.out
我们查看一下ZooKeeper中的数据状态,如下所示:
zkCli.sh -server 192.168.137.171:2181
这时候,SolrCloud集群中只有一个活跃的节点,而且默认生成了一个collection1实例,这个实例实际上虚拟的,因为通过web界面无法访问http://192.168.137.171:8080/solr-cloud/,看不到任何有关SolrCloud的信息,如图所示:
4.同步数据和配置信息,启动其他节点
在另外两个节点上安装Tomcat和Solr服务器,只需要拷贝对应的目录即可:
另外两个节点rm -rf /home/tomcat6
scp -r /home/tomcat6/ root@192.168.137.172:/home/
scp -r /home/solr/ root@192.168.137.172:/home/
scp -r /home/tomcat6/ root@192.168.137.173:/home/
scp -r /home/solr/ root@192.168.137.173:/home/
启动其他Solr服务器节点:
/home/tomcat6/bin/catalina.sh start
查看日志:
tail -100f /home/tomcat6/logs/catalina.out
查看ZooKeeper集群中数据状态:
zkCli.sh -server 192.168.137.171:2181
这时,已经存在3个活跃的节点了,但是SolrCloud集群并没有更多信息,访问http://192.168.137.171:8080/solr-cloud/后,同上面的图是一样的,没有SolrCloud相关数据。
5.创建Collection、Shard和Replication
(1)创建Collection及初始Shard
直接通过REST接口来创建Collection,如下所示:
curl ‘http://192.168.137.171:8080/solr-cloud/admin/collections?action=CREATE&name=mycollection&numShards=3&replicationFactor=1‘
more /home/solr/cloud/multicore/solr.xml
(2)创建Replication
下面对已经创建的初始分片进行复制。 shard1已经在192.168.137.173上,我们复制分片到192.168.137.171和192.168.137.172上,执行如下命令:
curl ‘http://192.168.137.171:8080/solr-cloud/admin/cores?action=CREATE&collection=mycollection&name=mycollection_shard1_replica_2&shard=shard1‘
curl ‘http://192.168.137.172:8080/solr-cloud/admin/cores?action=CREATE&collection=mycollection&name=mycollection_shard1_replica_3&shard=shard1‘
标签:between catalina splay rdl select defaults back hot copy
原文地址:http://www.cnblogs.com/hd3013779515/p/6883647.html