强大的Elastisearch搜索引擎在Java中使用的实例代码

本篇文章主要介绍了Java使用强大的Elastisearch搜索引擎实例代码,具有一定的参考价值,有兴趣的可以了解一下

Elastisearch是一个很强大,易用的搜索引擎

在系统上运行Elastisearch只需以下几步

1.下载Elastisearch

代码如下:

wget https://artifacts.elastic.co/downloads/elasticsearch/elasticsearch-5.4.0.zip

2.解压

unzip elasticsearch-5.4.0.zip

3.运行

elasticsearch-5.4.0/bin/elasticsearch

这时有可能会直接被Killed掉,因为内存溢出(OOM),elastisearch占用的内存非常大,所以在内存比较小的服务器上运行要先修改jvm的内存大小

vi elasticsearch-5.4.0/config/jvm.options

将22和23行的栈堆大小改为512M

-Xms512M-Xmx512M

如果重新启动后还是killed就再改小一点

4.测试是否成功

curl  'http://localhost:9200/?pretty'

你能看到以下返回信息:

{      "status":  200,      "name":  "Shrunken  Bones",      "version":  {            "number":  "1.4.0",            "lucene_version":  "4.10"      },      "tagline":  "You  Know,  for  Search"}

则表明启动成功

接下来我们用Java的API来操作Elasticsearch

首先是导入elastisearch和log4j的包

POM

<?xml version="1.0" encoding="UTF-8"?><project xmlns="http://maven.apache.org/POM/4.0.0"     xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"     xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">  <modelVersion>4.0.0</modelVersion>  <groupId>com.jk</groupId>  <artifactId>ElasticsearchExample</artifactId>  <version>1.0-SNAPSHOT</version>  <dependencies>    <dependency>      <groupId>org.elasticsearch.client</groupId>      <artifactId>transport</artifactId>      <!--用哪个版本就填什么-->      <version>5.4.0</version>    </dependency>    <dependency>      <groupId>org.apache.logging.log4j</groupId>      <artifactId>log4j-api</artifactId>      <version>2.7</version>    </dependency>  </dependencies></project>

以下是常用的几种操作

1.创建client

Client client = null;    try {      client = new PreBuiltTransportClient(Settings.EMPTY)          .addTransportAddress(new InetSocketTransportAddress(InetAddress.getByName("localhost"), 9300));    } catch (Exception e) {      e.printStackTrace();    }

2.创建索引

/**   * 创建索引,有则先删除   * @param client   */  private static void recreateIndex(Client client) {    if (client.admin().indices().prepareExists(index).execute().actionGet()        .isExists()) {      DeleteIndexResponse deleteIndexResponse = client.admin().indices()          .delete(new DeleteIndexRequest(index)).actionGet();      System.out.println("delete index :");      System.out.println(deleteIndexResponse);    }    CreateIndexResponse createIndexResponse = client.admin().indices()        .prepareCreate(index).execute().actionGet();    System.out.println("create index :");    System.out.println(createIndexResponse);  }

3.插入数据

/**   * 插入数据   * @param client   */  @SuppressWarnings({"rawtypes", "unchecked"})  private static void doIndex(final Client client) {    Map s11 = new LinkedHashMap();    s11.put("title", "Think in java");    s11.put("origin", "美国");    s11.put("description", "初级java开发人员必读的书");    s11.put("author", "Bruce Eckel");    s11.put("price", 108);    Map s12 = new LinkedHashMap();    s12.put("title", "Head First Java");    s12.put("origin", "英国");    s12.put("description", "java入门教材");    s12.put("author", "Kathy Sierra");    s12.put("price", 54);    Map s21 = new LinkedHashMap();    s21.put("title", "Design Pattern");    s21.put("origin", "法国");    s21.put("description", "程序员不得不读的设计模式");    s21.put("author", "Kathy Sierra");    s21.put("price", 89);    Map s22 = new LinkedHashMap();    s22.put("title", "黑客与画家");    s22.put("origin", "法国");    s22.put("description", "读完之后脑洞大开");    s22.put("author", "Paul Graham");    s22.put("price", 35);    BulkResponse bulkResponse = client        .prepareBulk()        .add(client.prepareIndex(index, type).setId("11").setSource(s11).setOpType(IndexRequest.OpType.INDEX).request())        .add(client.prepareIndex(index, type).setId("12").setSource(s12).setOpType(IndexRequest.OpType.INDEX).request())        .add(client.prepareIndex(index, type).setId("21").setSource(s21).setOpType(IndexRequest.OpType.INDEX).request())        .add(client.prepareIndex(index, type).setId("22").setSource(s22).setOpType(IndexRequest.OpType.INDEX).request())        .execute().actionGet();    if (bulkResponse.hasFailures()) {      System.err.println("index docs ERROR:" + bulkResponse.buildFailureMessage());    } else {      System.out.println("index docs SUCCESS:");      System.out.println(bulkResponse);    }  }

4.查询所有

  /**   * 查询所有   */  private static void searchAll(Client client) {    SearchResponse response = client.prepareSearch(index)        .setQuery(QueryBuilders.matchAllQuery())        .setExplain(true).execute().actionGet();    System.out.println("searchAll : ");    for (SearchHit searchHit : response.getHits()) {      System.out.println("********");      System.out.println(searchHit.getSource());    }  }

5.关键词查询

  /**   * 关键词查询   *   * @param client   */  private static void searchKeyWord(Client client) {    SearchResponse response = client.prepareSearch(index)        //查询所有字段匹配关键字        .setQuery(QueryBuilders.matchQuery("_all", "法国"))        //设置最小匹配程度//        .setQuery(QueryBuilders.matchQuery("_all", "法国").minimumShouldMatch("100%"))        .execute().actionGet();    System.out.println("searchKeyWord : ");    System.out.println(response);  }

6.数值范围过滤

  /**   * 数值范围过滤   *   * @param client   */  private static void searchRange(Client client) {    SearchResponse response = client.prepareSearch(index).        //大于80,小于100        setQuery(QueryBuilders.rangeQuery("price").gt(80).lt(100))        .execute()        .actionGet();    System.out.println("searchRange : ");    System.out.println(response);  }

7.排序

  /**   * 排序   *   * @param client   */  private static void searchOrdered(Client client) {    SearchResponse response = client.prepareSearch(index)        .setQuery(QueryBuilders.matchAllQuery())        //根据价格降序排序        .addSort(SortBuilders.fieldSort("price")            .order(SortOrder.DESC)).execute().actionGet();    System.out.println("searchOrdered : ");    System.out.println(response);  }

8.高亮关键字

/**   * 高亮关键字   * @param client   */  private static void searchHightlight(Client client) {    //高亮多个字段    HighlightBuilder highlightBuilder = new HighlightBuilder();    highlightBuilder.field("title");    highlightBuilder.field("description");    SearchResponse response = client.prepareSearch(index)        //单条件匹配,高亮时只能高亮该字段//        .setQuery(QueryBuilders.matchQuery("title", "java"))        //多条件匹配,高亮时只能高亮多个字段        .setQuery(QueryBuilders.multiMatchQuery("开发人员必读", "title", "description"))        .highlighter(highlightBuilder)        .execute()        .actionGet();    System.out.println("searchHightlight : ");    System.out.println(response);  }

9.根据id查找

 /**   * 根据id查找   * @param client   */  private static void findById(final Client client) {    String id="12";    GetResponse response = client.prepareGet(index, type, id).get();    System.out.println("findById");    System.out.println(response);  }

10.删除

   /**   * 删除   * @param client   */  private static void deleteById(Client client) {    String id="12";    DeleteResponse response = client.prepareDelete(index, type, id).get();  }

11.更新

  /**   * 更新   * @param client   */  private static void updateById(Client client) {    try {      String id="11";      client.prepareUpdate(index, type, id)          .setDoc(jsonBuilder()              .startObject()              .field("title", "白鹿原")              .endObject())          .get();    } catch (IOException e) {      e.printStackTrace();    }  }

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强大的Elastisearch搜索引擎在Java中使用的实例代码

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