pom文件内容:
junit
junit
3.8.1
test
org.elasticsearch
elasticsearch
5.2.2
org.elasticsearch.client
transport
5.2.2
org.apache.logging.log4j
log4j-core
2.9.0
(1)ElasticSearch服务默认端口9300。
(2)Web管理平台端口9200。
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 InetSocketTransportAddress(InetAddress.getByName("hadoop102"), 9300));
// 3 打印集群名称
System.out.println(client.toString());
}
@Test
public void createIndex_blog(){
// 1 创建索引
client.admin().indices().prepareCreate("blog2").get();
// 2 关闭连接
client.close();
}
删除索引
@Test
public void deleteIndex(){
// 1 删除索引
client.admin().indices().prepareDelete("blog2").get();
// 2 关闭连接
client.close();
}
新建文档(数据源json串)
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。
ElasticSearch服务默认端口9300
Web管理平台端口9200
@Test
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();
}
@Test
public void createIndexByMap() {
// 1 文档数据准备
Map json = new HashMap();
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();
}
@Test
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();
}
@Test
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();
}
搜索文档数据(多个索引)
@Test
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();
}
更新文档数据(update)
@Test
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();
}
更新文档数据(upsert)
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。
@Test
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();
}
第一次执行
hadoop102:9200/blog/article/5
第一次执行
hadoop102:9200/blog/article/5
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 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();
}
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 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();
}
通配符查询(wildcardQuery)
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();
}
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();
}
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 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();
}
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();
}