@Great-Chinese 2016-07-26T14:44:48.000000Z 字数 6692 阅读 1389

Elasticsearch 基本安装

Elasticsearch

Elasticsearch 基本安装

集群健康值说明:

红色,代表集群不可用
黄色,代表集群可用不可复制
绿色,代表集群正常

1、下载

https://www.elastic.co/downloads/elasticsearch

2、安装

2.1解压 elasticsearch-*.tar.gz 文件

tar -xvf elasticsearch-*.tar.gz

014.png-12.8kB

2.2 安装marvel插件

bin/plugin install license
bin/plugin install marvel-agent

Note
每个版本的安装命令都不同，具体参看最新官网文档，
https://www.elastic.co/downloads/marvel

2.3安装 head

bin/plugin install mobz/elasticsearch-head

3、启动

bin/elasticsearch
bin/elasticsearch -d #后台启动

4、基本配置

冒号后面必需预留一个空格

cluster.name: hks
node.name: hks_data
node.master: true
node.data: true
#分片索引个数
index.number_of_shards : 5
#副本个数
index.number_of_replicas : 1
#索引文件路径,多个用逗号隔开
path.data : /hksdata/java/elasticsearch/data
#临时文件存储
path.work : /hksdata/java/elasticsearch/tmp
#日志文件路径
path.logs : /hksdata/java/elasticsearch/logs
#设置绑定ip,多个ip用逗号隔开，默认为本地
network.host : 10.163.101.230,120.27.43.49
http.port : 9200
transport.tcp.port : 9300 
transport.tcp.compress : true
#设置传输最大数据为100M
http.max_content_length : 10mb
# 启用对外http
http.enabled : true
#es集群配置，数据自动复制
discovery.zen.minimum_master_nodes: 2
discovery.zen.ping.timeout: 10s
discovery.zen.ping.multicast.enabled: true
discovery.zen.ping.unicast.hosts: ["10.163.101.230" , "10.45.19.14"]
#配置IK分词器
index.analysis.analyzer.default.type: ik

5、IK分词器

a、下载ik分词器已发布的版本 https://github.com/medcl/elasticsearch-analysis-ik/releases
b、安装maven
c、编译ik分词器
1、解压该zip到一个目录
进入改目录，输入命令

 mvn clean install -Dmaven.test.skip=true

编译成功后会在target/releases目录下生成一个zip的文件，将这个文件复制到 es_home/plugins/analysis-ik 目录下（因为网络原因，一次可能编译不成功，可以尝试多次编译）
02.png-23.3kB

6、设置某个字段不分词

curl -XPUT http://10.163.101.230:9200/hksesdata/ -d' { "mappings": { "part":{ "properties": { "relation_code": { "type": "string", "index": "not_analyzed" }, "materialname": { "type": "string" }, "relation_brandid": { "type": "string","index": "not_analyzed" }, "relation_picno": { "type": "string","index": "not_analyzed" }, "relation_postion": { "type": "string","index": "not_analyzed" }, "relation_oecode": { "type": "string","index": "not_analyzed" }, "relation_cartypecode": { "type": "string","index": "not_analyzed" }, "brandcode": { "type": "string", "index": "not_analyzed" }, "originscode": { "type": "string", "index": "not_analyzed" }, "ecpunit": { "type": "string", "index": "not_analyzed" }, "relation_groupid": { "type": "string","index": "not_analyzed" } }

7、maven项目，依赖包

<dependency>
            <groupId>org.elasticsearch</groupId>
            <artifactId>elasticsearch</artifactId>
            <version>2.3.2</version>
        </dependency>
        <dependency>
            <groupId>com.google.guava</groupId>
            <artifactId>guava</artifactId>
            <version>19.0</version>
        </dependency>

8、java查询api

package org.es;
import java.net.InetAddress;
import java.util.Iterator;
import java.util.Map;
import org.elasticsearch.action.search.SearchRequestBuilder;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.action.search.SearchType;
import org.elasticsearch.client.transport.TransportClient;
import org.elasticsearch.common.settings.Settings;
import org.elasticsearch.common.settings.Settings.Builder;
import org.elasticsearch.common.transport.InetSocketTransportAddress;
import org.elasticsearch.index.query.BoolQueryBuilder;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.search.SearchHit;
import org.elasticsearch.search.SearchHits;
import org.elasticsearch.search.aggregations.Aggregation;
import org.elasticsearch.search.aggregations.AggregationBuilders;
import org.elasticsearch.search.aggregations.bucket.terms.StringTerms;
import org.elasticsearch.search.aggregations.bucket.terms.Terms;
import org.elasticsearch.search.aggregations.bucket.terms.Terms.Bucket;
import org.elasticsearch.search.aggregations.bucket.terms.TermsBuilder;
import org.elasticsearch.search.sort.SortBuilders;
public class ElasticSearchUtils {
    protected TransportClient client ; 
    protected String index ; 
    protected String type ; 
    protected String idKey ;
    /**
     * 创建TransportClient
     * @param clusterName 集群名称
     * @param host 地址
     * @param port es端口 
     * */
    TransportClient getTransportClient(String clusterName , String host , Integer port) throws  Exception {
        Builder builder = Settings.builder().put("cluster.name",  clusterName ) ;
        TransportClient client = TransportClient
                .builder()
                .settings(builder)
                .build()
                .addTransportAddress(
                        new InetSocketTransportAddress(InetAddress
                                .getByName( host ), port));
        return client ; 
    }
    /**
     * 创建TransportClient
     * @param clusterName 集群名称
     * @param host 地址
     * @param port es端口 , 末日�?300
     * @param index 索引
     * @param type 类型
     * @param idKey 主名
     * */
    public static ElasticSearchUtils getElasticSearch(String clusterName
             , String host , Integer port , String index , String type , String idKey){
        try {
            ElasticSearchUtils search = new ElasticSearchUtils();
            search.client = search.getTransportClient(clusterName, host, port) ;
            search.idKey = idKey ;
            search.index = index ; 
            search.type = type ; 
            return search ; 
        } catch(Exception e ) {
            throw new RuntimeException( e.getMessage() , e )  ;
        }
    }
    public static void main(String[] args) {
        ElasticSearchUtils searchUtils = ElasticSearchUtils.getElasticSearch("hks"
                , "hksdata01", 9300, "hksesdata", "part", "id") ;  
        /*创建搜索引擎*/
        SearchRequestBuilder requestBuilder = searchUtils.client.prepareSearch( searchUtils.index )
                .setTypes( searchUtils.type ) .setSearchType(SearchType.DEFAULT
                        ).setFrom(0)
                .setSize( 20 ) ; 
        /*指定排序字段,可以指定多个*/
        requestBuilder.addSort( SortBuilders.fieldSort("p1001_customertype2") );
        requestBuilder.addSort( SortBuilders.fieldSort("p1001_customertype2") );
        //requestBuilder.setQuery(QueryBuilders.matchPhraseQuery( "keyword" , "FDB" ));
        /*使用bool查询*/
        BoolQueryBuilder boolQueryBuilder = new BoolQueryBuilder();
        /*设置查询*/
        requestBuilder.setQuery(
                //QueryBuilders.termsQuery("keyword", "FDB" , "鲁达" )
                boolQueryBuilder
                .must(QueryBuilders.matchQuery("keyword", "奥迪 Q5"))
        );
        SearchResponse actionGet = requestBuilder.setExplain(true).execute().actionGet();
        SearchHits searchHits =  actionGet.getHits() ;
        SearchHit[] hits = searchHits.getHits();
        System.out.println( "totalHits: " + searchHits.getTotalHits() ); 
        for (SearchHit hit : hits) {
            Map<String, Object> source = hit.getSource() ; 
            if(null != source){
                System.out.println( source.get("materialcode") + "-->" + source.get("materialname"));
            }
        }
        /*---------------------分组 搜索------------------------*/
        SearchRequestBuilder searchRequestBuilder = searchUtils.client.prepareSearch( searchUtils.index )
        .setTypes( searchUtils.type ) .setSearchType(SearchType.DEFAULT
                ).setFrom(0)
        .setSize( 100 ) ; 
        searchRequestBuilder.setQuery(
                //QueryBuilders.termsQuery("keyword", "FDB" , "鲁达" )
                boolQueryBuilder
                .must(QueryBuilders.matchQuery("keyword", "奥迪"))
        );
        TermsBuilder  partidTermsBuilder = AggregationBuilders.terms("postion").field("relation_postion") ;
        partidTermsBuilder.size( 100 );
        searchRequestBuilder.addAggregation( partidTermsBuilder );
        SearchResponse sr = searchRequestBuilder.execute().actionGet();
        Map<String, Aggregation> aggMap = sr.getAggregations().asMap() ; 
        StringTerms postionTerms = (StringTerms) aggMap.get("postion") ; 
        Iterator<Terms.Bucket> iterator = postionTerms.getBuckets().iterator();
        while(iterator.hasNext()){
            Bucket next = iterator.next();
            System.out.println( next.getKey() + "--->" + next.getDocCount());
        }
    }
}