java操作 elasticsearch8.0 doc文档＜二＞
本文所有代码在文章最后
本文所有代码在文章最后
创建doc文档
如何连接请看上一篇文章
https://blog.csdn.net/u013979493/article/details/123122242?spm=1001.2014.3001.5502
User user =newUser("10002","lisi",20,"男");IndexResponse indexResponse = client.index(
x -> x.index("user").id(user.getId()).document(user));
修改doc自定义属性
User user =newUser();//修改什么属性就set什么值
user.setAge(101);UpdateResponse<User> userUpdateResponse = client.update(
x -> x.index("user").id("10002").doc(user),User.class);
获取doc信息
GetResponse<User> getResponse = client.get(x -> x
.index("user").id("10002"),User.class);
删除doc
client.delete(x -> x.index("user").id("10002"));
批量添加doc
//创建user列表List<User> users =newArrayList<>();
users.add(newUser("15","张三",10,"女"));
users.add(newUser("16","张四",10,"女"));
users.add(newUser("17","张五六",11,"女"));
users.add(newUser("18","张三四",12,"女"));
users.add(newUser("19","张三五",13,"女"));
users.add(newUser("20","张三六七",14,"女"));
users.add(newUser("21","张三1",15,"女"));//创建BulkOperation列表准备批量插入docList<BulkOperation> bulkOperations =newArrayList<>();//将user中id作为es id，也可不指定id es会自动生成id
users.forEach(a -> bulkOperations.add(BulkOperation.of(b -> b.index(c -> c.id(a.getId()).document(a)))));
client.bulk(x ->x.index("user").operations(bulkOperations));
批量删除doc
List<String> strings =newArrayList<>();
strings.add("1");
strings.add("2");
strings.add("3");
strings.add("4");
strings.add("5");
strings.add("6");
strings.add("7");List<BulkOperation> bulkOperations =newArrayList<>();
strings.forEach(a -> bulkOperations.add(BulkOperation.of(b -> b.delete(c -> c.id(a)))));
client.bulk(x ->x.index("user").operations(bulkOperations));
批量更新doc
与添加删除同理
查询user索引所有数据
SearchResponse<User> searchResponse = client.search(a -> a.index("user"),User.class);
searchResponse.hits().hits().forEach(x ->System.out.println(x.source()));
条件查询 查询age为15的数据
earchResponse<User> searchResponse = client
.search(a -> a
.index("user").query(b -> b
.term(c -> c
.field("age").value(d -> d
.longValue(15)))),User.class);
searchResponse.hits().hits().forEach(x ->System.out.println(x.source()));
分页查询 排序 过滤字段
SearchResponse<User> searchResponse = client
.search(a -> a
.index("user")//从第0条到第4条.from(0).size(5)//按年龄降序排序.sort(b -> b
.field(c -> c
.field("age").order(SortOrder.Desc))).source(c -> c
.filter(d -> d
//不包含字段.excludes("id","age")//包含字段.includes("name"))),User.class);
searchResponse.hits().hits().forEach(x ->System.out.println(x.source()));
组合查询
SearchResponse<User> searchResponse = client
.search(a -> a
.index("user").query(b -> b
.bool(c -> c
//必须不满足某些条件.mustNot(d -> d.match(e -> e.field("sex").query(f -> f.stringValue("男"))))//可同时满足某些条件.should(d -> d.match(e -> e.field("age").query(f -> f.longValue(10)))).should(d -> d.match(e -> e.field("age").query(f -> f.longValue(12)))))),User.class);
searchResponse.hits().hits().forEach(x ->System.out.println(x.source()));
范围查询
from to查询
SearchResponse<User> searchResponse = client
.search(a -> a
.index("user").query(b -> b
.range(c -> c.field("age").from("10").to("12"))),User.class);
searchResponse.hits().hits().forEach(x ->System.out.println(x.source()));
大于小于查询
SearchResponse<User> searchResponse = client
.search(a -> a
.index("user").query(b -> b
//小于等于// .range(c -> c.field("age").lte(JsonData.of("13")))//小于// .range(c -> c.field("age").lt(JsonData.of("13")))//大于等于// .range(c -> c.field("age").gte(JsonData.of("13")))//大于// .range(c -> c.field("age").gt(JsonData.of("13")))//范围.range(c -> c.field("age").from("10").to("13"))).sort(b -> b.field(c -> c.field("age").order(SortOrder.Asc)))//经测试，若不指定size则只会返回前十条数据，此处这是size是想返回所有数据，如有更好的方法清指教.size(1000),User.class);
searchResponse.hits().hits().forEach(x ->System.out.println(x.source()));
模糊查询 高亮显示
SearchResponse<User> searchResponse = client.search(_0 -> _0
.query(_1 -> _1
.fuzzy(_2 -> _2
.field("name")//最大偏移量，意为最多有能有几个不符合的.fuzziness("1")//最大查询数量// .maxExpansions(5).value(_3 -> _3
.stringValue("张四"))))//高亮.highlight(_4 -> _4
.fields("name", _5 -> _5
.preTags("<font color='red'>").postTags("</font>"))),User.class);
searchResponse.hits().hits().forEach(x ->System.out.println(x.source()));
聚合操作
SearchResponse<Map> search = client
.search(_0 -> _0
//按年龄进行分组.aggregations("ageGroup", _1 -> _1
.terms(_2 -> _2
.field("age"))),Map.class);System.out.println(search);
本文所有方法本人以测试正常使用，如有错误请指正，一起讨论
以下为本文所有代码
User实体类
publicclassUser{privateString id;privateString name;privateint age;privateString sex;publicUser(){}publicUser(String id,String name,int age,String sex){this.id = id;this.name = name;this.age = age;this.sex = sex;}publicStringgetId(){return id;}publicvoidsetId(String id){this.id = id;}publicStringgetName(){return name;}publicvoidsetName(String name){this.name = name;}publicintgetAge(){return age;}publicvoidsetAge(int age){this.age = age;}publicStringgetSex(){return sex;}publicvoidsetSex(String sex){this.sex = sex;}@OverridepublicStringtoString(){return"User{"+"id='"+ id +'\''+", name='"+ name +'\''+", age="+ age +", sex='"+ sex +'\''+'}';}}
es操作
publicclassESClientDemo{privatestaticfinalString clusterNodes ="127.0.0.1:9201";privatestaticfinalString account ="elastic";privatestaticfinalString passWord ="D4ibOD8mtcItd_p_FGUO";publicstaticElasticsearchClient client;publicstaticRestClientBuilder builder;publicstaticRestClient restClient;publicstaticElasticsearchTransport transport;//有密码登录publicstaticvoidmain(String[] args){try{HttpHost[] httpHosts =Arrays.stream(clusterNodes.split(",")).map(x ->{String[] hostInfo = x.split(":");returnnewHttpHost(hostInfo[0],Integer.parseInt(hostInfo[1]));}).toArray(HttpHost[]::new);finalCredentialsProvider credentialsProvider =newBasicCredentialsProvider();//设置账号密码
credentialsProvider.setCredentials(AuthScope.ANY,newUsernamePasswordCredentials(account, passWord));
builder =RestClient.builder(httpHosts).setHttpClientConfigCallback(httpClientBuilder ->
httpClientBuilder
.setDefaultCredentialsProvider(credentialsProvider));// Create the low-level client
restClient = builder.build();// Create the transport with a Jackson mapper
transport =newRestClientTransport(
restClient,newJacksonJsonpMapper());// And create the API client
client =newElasticsearchClient(transport);// Boolean acknowledged = client.indices().create(c -> c.index("user")).acknowledged();// System.out.println("创建索引: " + (Boolean.TRUE.equals(acknowledged) ? "成功" : "失败"));// GetIndexResponse getIndexResponse = client.indices().get(c -> c.index("user"));// System.out.println("获取索引 user 响应: " + getIndexResponse);// DeleteIndexResponse deleteIndexResponse = client.indices().delete(c -> c.index("user"));// System.out.println("删除索引 user 响应: " + deleteIndexResponse);//创建doc// User user = new User("lisi", 20, "男");// IndexResponse indexResponse = client.index(// x -> x.index("user").id("10002").document(user));//修改doc部分属性// User user = new User();// user.setAge(101);// UpdateResponse<User> userUpdateResponse = client.update(// x -> x.index("user").id("10002").doc(user), User.class);//获取doc信息// GetResponse<User> getResponse = client.get(x -> x.index("user").id("10002"), User.class);//删除doc// client.delete(x -> x.index("user").id("10002"));//批量添加doc/*List<User> users = new ArrayList<>();
users.add(new User("15", "张三", 10, "女"));
users.add(new User("16", "张四", 10, "女"));
users.add(new User("17", "张五六", 11, "女"));
users.add(new User("18", "张三四", 12, "女"));
users.add(new User("19", "张三五", 13, "女"));
users.add(new User("20", "张三六七", 14, "女"));
users.add(new User("21", "张三1", 15, "女"));
List<BulkOperation> bulkOperations = new ArrayList<>();
users.forEach(a -> bulkOperations.add(BulkOperation.of(b -> b.index(c -> c.id(a.getId()).document(a)))));
client.bulk(x ->x.index("user").operations(bulkOperations));*///批量删除doc/*List<String> strings = new ArrayList<>();
strings.add("1");
strings.add("2");
strings.add("3");
strings.add("4");
strings.add("5");
strings.add("6");
strings.add("7");
List<BulkOperation> bulkOperations = new ArrayList<>();
strings.forEach(a -> bulkOperations.add(BulkOperation.of(b -> b.delete(c -> c.id(a)))));
client.bulk(x ->x.index("user").operations(bulkOperations));*///查询user索引所有数据/*SearchResponse<User> searchResponse = client.search(a -> a.index("user"), User.class);
searchResponse.hits().hits().forEach(x -> System.out.println(x.source()));*///条件查询/*SearchResponse<User> searchResponse = client
.search(a -> a
.index("user")
.query(b -> b
.term(c -> c
.field("age")
.value(d -> d
.longValue(15)
)
)
), User.class);
searchResponse.hits().hits().forEach(x -> System.out.println(x.source()));*///分页查询 排序 过滤字段/*SearchResponse<User> searchResponse = client
.search(a -> a
.index("user")
.from(0)
.size(5)
.sort(b -> b
.field(c -> c
.field("age")
.order(SortOrder.Desc)
)
)
.source(c -> c
.filter(d -> d
//不包含字段
.excludes("id", "age")
//包含字段
.includes("name")
)
), User.class);
searchResponse.hits().hits().forEach(x -> System.out.println(x.source()));*///组合查询/*SearchResponse<User> searchResponse = client
.search(a -> a
.index("user")
.query(b -> b
.bool(c -> c
.mustNot(d -> d.match(e -> e.field("sex").query(f -> f.stringValue("男"))))
.should(d -> d.match(e -> e.field("age").query(f -> f.longValue(10))))
.should(d -> d.match(e -> e.field("age").query(f -> f.longValue(12))))
)
), User.class);
searchResponse.hits().hits().forEach(x -> System.out.println(x.source()));*///范围查询/*SearchResponse<User> searchResponse = client
.search(a -> a
.index("user")
.query(b -> b
.range(c -> c.field("age").from("10").to("12"))
), User.class);
searchResponse.hits().hits().forEach(x -> System.out.println(x.source()));*//*SearchResponse<User> searchResponse = client
.search(a -> a
.index("user")
.query(b -> b
//小于等于
// .range(c -> c.field("age").lte(JsonData.of("13")))
//小于
// .range(c -> c.field("age").lt(JsonData.of("13")))
//大于等于
// .range(c -> c.field("age").gte(JsonData.of("13")))
//大于
// .range(c -> c.field("age").gt(JsonData.of("13")))
//范围
.range(c -> c.field("age").from("10").to("13"))
)
.sort(b -> b.field(c -> c.field("age").order(SortOrder.Asc)))
.size(999999999), User.class);
searchResponse.hits().hits().forEach(x -> System.out.println(x.source()));*///模糊查询 高亮显示/*SearchResponse<User> searchResponse = client.search(_0 -> _0
.query(_1 -> _1
.fuzzy(_2 -> _2
.field("name")
//最大偏移量
.fuzziness("1")
//最大查询数量
// .maxExpansions(5)
.value(_3 -> _3
.stringValue("张四")
)
)
)
.highlight(_4 -> _4
.fields("name", _5 -> _5
.preTags("<font color='red'>")
.postTags("</font>")
)
), User.class);
searchResponse.hits().hits().forEach(x -> System.out.println(x.source()));*///分组操作/*SearchResponse<Map> search = client
.search(_0 -> _0
.aggregations("ageGroup", _1 -> _1
.terms(_2 -> _2
.field("age")
)
), Map.class);
System.out.println(search);*/}catch(Exception e){
e.printStackTrace();}finally{try{
client.shutdown();
transport.close();
restClient.close();}catch(IOException e){
e.printStackTrace();}}}}
制作不易，请尊重作者的劳动成果
本文转载自: https://blog.csdn.net/u013979493/article/details/123172320
版权归原作者 amo丶 所有， 如有侵权，请联系我们删除。
版权归原作者 amo丶 所有， 如有侵权，请联系我们删除。