ElasticSearch基础

分类: ElasticSearch

1.获取对象

public final static String HOST = "192.168.2.101";
// http请求的端口是9200，客户端是9300
public final static int PORT = 9300;

private TransportClient client;

private TransportClient client;
@SuppressWarnings("unchecked")
@Before
public void getClient() throws Exception {
    // 1 设置连接的集群名称
    Settings settings = Settings.builder().put("cluster.name", "my-application").build();
    // 2 连接集群
    client = new PreBuiltTransportClient(settings);
    client.addTransportAddress(new TransportAddress(InetAddress.getByName(HOST), PORT));
    // 3 打印集群名称
    System.out.println(client.toString());
}

2.创建和删除索引

    public void createIndex_blog(){
    // 1 创建索引
    client.admin().indices().prepareCreate("blog2").get();
    // 2 关闭连接
    client.close();
}

public void deleteIndex(){
    // 1 删除索引
    client.admin().indices().prepareDelete("blog2").get();
    // 2 关闭连接
    client.close();
}

3.新建文档

当直接在ElasticSearch建立文档对象时，如果索引不存在的，默认会自动创建，映射采用默认方式。

3.1json串：

public void createIndexByJson() throws UnknownHostException {
    // 1 文档数据准备
    String json = "{" + "\"id\":\"1\"," + "\"title\":\"基于Lucene的搜索服务器\","
            + "\"content\":\"它提供了一个分布式多用户能力的全文搜索引擎，基于RESTful web接口\"" + "}";
    // 2 创建文档
    IndexResponse indexResponse = client.prepareIndex("blog", "article", "1").setSource(json).execute().actionGet();
    // 3 打印返回的结果
    System.out.println("index:" + indexResponse.getIndex());
    System.out.println("type:" + indexResponse.getType());
    System.out.println("id:" + indexResponse.getId());
    System.out.println("version:" + indexResponse.getVersion());
    System.out.println("result:" + indexResponse.getResult());
    // 4 关闭连接
    client.close();
}

3.2map方式添加json

public void createIndexByMap() {

    // 1 文档数据准备
    Map<String, Object> json = new HashMap<String, Object>();
    json.put("id", "2");
    json.put("title", "基于Lucene的搜索服务器");
    json.put("content", "它提供了一个分布式多用户能力的全文搜索引擎，基于RESTful web接口");
    // 2 创建文档
    IndexResponse indexResponse = client.prepareIndex("blog", "article", "2").setSource(json).execute().actionGet();
    // 3 打印返回的结果
    System.out.println("index:" + indexResponse.getIndex());
    System.out.println("type:" + indexResponse.getType());
    System.out.println("id:" + indexResponse.getId());
    System.out.println("version:" + indexResponse.getVersion());
    System.out.println("result:" + indexResponse.getResult());
    // 4 关闭连接
    client.close();
}

3.3es构建器添加json

public void createIndex() throws Exception {
    // 1 通过es自带的帮助类，构建json数据
    XContentBuilder builder = XContentFactory.jsonBuilder().startObject().field("id", 3)
            .field("title", "基于Lucene的搜索服务器").field("content", "它提供了一个分布式多用户能力的全文搜索引擎，基于RESTful web接口。")
            .endObject();
    // 2 创建文档
    IndexResponse indexResponse = client.prepareIndex("blog", "article", "3").setSource(builder).get();
    // 3 打印返回的结果
    System.out.println("index:" + indexResponse.getIndex());
    System.out.println("type:" + indexResponse.getType());
    System.out.println("id:" + indexResponse.getId());
    System.out.println("version:" + indexResponse.getVersion());
    System.out.println("result:" + indexResponse.getResult());
    // 4 关闭连接
    client.close();
}

4.搜索和更新文档数据

4.1单个索引

public void getData() throws Exception {        
    // 1 查询文档
    GetResponse response = client.prepareGet("blog", "article", "1").get();     
    // 2 打印搜索的结果
    System.out.println(response.getSourceAsString());       
    // 3 关闭连接
    client.close();
}

4.2多个索引

public void getMultiData() {
    // 1 查询多个文档
    MultiGetResponse response = client.prepareMultiGet().add("blog", "article", "1").add("blog", "article", "2", "3")
            .add("blog", "article", "2").get();
    // 2 遍历返回的结果
    for(MultiGetItemResponse itemResponse:response){
        GetResponse getResponse = itemResponse.getResponse();
        // 如果获取到查询结果
        if (getResponse.isExists()) {
            String sourceAsString = getResponse.getSourceAsString();
            System.out.println(sourceAsString);
        }
    }

    // 3 关闭资源
    client.close();
}

4.3更新

public void updateData() throws Throwable {
    // 1 创建更新数据的请求对象
    UpdateRequest updateRequest = new UpdateRequest();
    updateRequest.index("blog");
    updateRequest.type("article");
    updateRequest.id("3");
    updateRequest.doc(XContentFactory.jsonBuilder().startObject()
            // 对没有的字段添加, 对已有的字段替换
            .field("title", "基于Lucene的搜索服务器")
            .field("content",
                    "它提供了一个分布式多用户能力的全文搜索引擎，基于RESTful web接口。大数据前景无限")
            .field("createDate", "2017-8-22").endObject());
    // 2 获取更新后的值
    UpdateResponse indexResponse = client.update(updateRequest).get();
    // 3 打印返回的结果
    System.out.println("index:" + indexResponse.getIndex());
    System.out.println("type:" + indexResponse.getType());
    System.out.println("id:" + indexResponse.getId());
    System.out.println("version:" + indexResponse.getVersion());
    System.out.println("create:" + indexResponse.getResult());

    // 4 关闭连接
    client.close();
}

4.4条件更新

设置查询条件, 查找不到则添加IndexRequest内容，查找到则按照UpdateRequest更新。
public void testUpsert() throws Exception {
// 设置查询条件, 查找不到则添加
IndexRequest indexRequest = new IndexRequest("blog", "article", "5")
.source(XContentFactory.jsonBuilder().startObject().field("title", "搜索服务器").field("content","它提供了一个分布式多用户能力的全文搜索引擎，基于RESTful web接口。Elasticsearch是用Java开发的，并作为Apache许可条款下的开放源码发布，是当前流行的企业级搜索引擎。设计用于云计算中，能够达到实时搜索，稳定，可靠，快速，安装使用方便。").endObject());

    // 设置更新, 查找到更新下面的设置
    UpdateRequest upsert = new UpdateRequest("blog", "article", "5")
            .doc(XContentFactory.jsonBuilder().startObject().field("user", "李四").endObject()).upsert(indexRequest);

    client.update(upsert).get();
    client.close();
}

5.删除文档数据

public void deleteData() {      
    // 1 删除文档数据
    DeleteResponse indexResponse = client.prepareDelete("blog", "article", "5").get();
    // 2 打印返回的结果
    System.out.println("index:" + indexResponse.getIndex());
    System.out.println("type:" + indexResponse.getType());
    System.out.println("id:" + indexResponse.getId());
    System.out.println("version:" + indexResponse.getVersion());
    System.out.println("found:" + indexResponse.getResult());
    // 3 关闭连接
    client.close();
}

6.查询

6.1查询所有

public void matchAllQuery() {       
    // 1 执行查询
    SearchResponse searchResponse = client.prepareSearch("blog").setTypes("article")
            .setQuery(QueryBuilders.matchAllQuery()).get();
    // 2 打印查询结果
    SearchHits hits = searchResponse.getHits(); // 获取命中次数，查询结果有多少对象
    System.out.println("查询结果有：" + hits.getTotalHits() + "条");
    Iterator<SearchHit> iterator = hits.iterator();
    while (iterator.hasNext()) {
        SearchHit searchHit = iterator.next(); // 每个查询对象
        System.out.println(searchHit.getSourceAsString()); // 获取字符串格式打印
    }
    // 3 关闭连接
    client.close();
}

6.2对所有字段分词查询（queryStringQuery）

public void query() {
    // 1 条件查询
    SearchResponse searchResponse = client.prepareSearch("blog").setTypes("article")
            .setQuery(QueryBuilders.queryStringQuery("全文")).get();

    // 2 打印查询结果
    SearchHits hits = searchResponse.getHits(); // 获取命中次数，查询结果有多少对象
    System.out.println("查询结果有：" + hits.getTotalHits() + "条");

    Iterator<SearchHit> iterator = hits.iterator();

    while (iterator.hasNext()) {
        SearchHit searchHit = iterator.next(); // 每个查询对象

        System.out.println(searchHit.getSourceAsString()); // 获取字符串格式打印
    }

    // 3 关闭连接
    client.close();
}

6.3通配符查询（wildcardQuery）

*：表示多个字符（任意的字符）
？：表示单个字符
public void wildcardQuery() {
// 1 通配符查询
SearchResponse searchResponse = client.prepareSearch("blog").setTypes("article")
.setQuery(QueryBuilders.wildcardQuery("content", "全")).get();
// 2 打印查询结果
SearchHits hits = searchResponse.getHits(); // 获取命中次数，查询结果有多少对象
System.out.println("查询结果有：" + hits.getTotalHits() + "条");
Iterator iterator = hits.iterator();
while (iterator.hasNext()) {
SearchHit searchHit = iterator.next(); // 每个查询对象
System.out.println(searchHit.getSourceAsString()); // 获取字符串格式打印
}
// 3 关闭连接
client.close();
}

6.4词条查询（TermQuery）

public void termQuery() {
// 1 第一field查询
SearchResponse searchResponse = client.prepareSearch("blog").setTypes("article")
.setQuery(QueryBuilders.termQuery("content", "全")).get();
// 2 打印查询结果
SearchHits hits = searchResponse.getHits(); // 获取命中次数，查询结果有多少对象
System.out.println("查询结果有：" + hits.getTotalHits() + "条");
Iterator iterator = hits.iterator();
while (iterator.hasNext()) {
SearchHit searchHit = iterator.next(); // 每个查询对象
System.out.println(searchHit.getSourceAsString()); // 获取字符串格式打印
}
// 3 关闭连接
client.close();
}

6.5模糊查询（fuzzy）

public void fuzzy() {       
    // 1 模糊查询
    SearchResponse searchResponse = client.prepareSearch("blog").setTypes("article")
            .setQuery(QueryBuilders.fuzzyQuery("title", "lucene")).get();       
    // 2 打印查询结果
    SearchHits hits = searchResponse.getHits(); // 获取命中次数，查询结果有多少对象
    System.out.println("查询结果有：" + hits.getTotalHits() + "条");
    Iterator<SearchHit> iterator = hits.iterator();
    while (iterator.hasNext()) {
        SearchHit searchHit = iterator.next(); // 每个查询对象
        System.out.println(searchHit.getSourceAsString()); // 获取字符串格式打印
    }
    // 3 关闭连接
    client.close();
}

映射相关操作

public void createMapping() throws Exception {
// 1设置mapping
XContentBuilder builder = XContentFactory.jsonBuilder()
.startObject()
.startObject("article")
.startObject("properties")
.startObject("id1")
.field("type", "string")
.field("store", "yes")
.endObject()
.startObject("title2")
.field("type", "string")
.field("store", "no")
.endObject()
.startObject("content")
.field("type", "string")
.field("store", "yes")
.endObject()
.endObject()
.endObject()
.endObject();
// 2 添加mapping
PutMappingRequest mapping = Requests.putMappingRequest("blog4").type("article").source(builder);
client.admin().indices().putMapping(mapping).get();
// 3 关闭资源
client.close();
}

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