Java教程
Elasticsearch 入门实战(5)--Java API Client 使用
本文主要是介绍Elasticsearch 入门实战(5)--Java API Client 使用，对大家解决编程问题具有一定的参考价值，需要的程序猿们随着小编来一起学习吧！
本文主要介绍 Elasticsearch Java API Client 的使用，相关的环境及软件信息如下：CentOS 7.6.1810、Java 1.8.0_321(客户端用)、Elasticsearch 8.2.2。
1、Java API Client 的特点
- Strongly typed requests and responses for all Elasticsearch APIs.
- Blocking and asynchronous versions of all APIs.
- Use of fluent builders and functional patterns to allow writing concise yet readable code when creating complex nested structures.
- Seamless integration of application classes by using an object mapper such as Jackson or any JSON-B implementation.
- Delegates protocol handling to an http client such as the Java Low Level REST Client that takes care of all transport-level concerns: HTTP connection pooling, retries, node discovery, and so on.
2、引入依赖
<dependency>
<groupId>co.elastic.clients</groupId>
<artifactId>elasticsearch-java</artifactId>
<version>8.2.2</version>
</dependency>
3、使用
Elasticsearch Java API Client 通过 API 的方式来组装请求数据，避免直接编写 JSON 字符串；请求数据的详细说明可参考：Elasticsearch 入门实战(3)--REST API 使用。
3.1、连接及关闭
Java API Client 底层依赖 Java Low Level REST Client，需先创建 Low Level REST Client。
private ElasticsearchTransport transport;
private ElasticsearchClient client;
@Before
public void before() {
RestClient restClient = RestClient.builder(
new HttpHost("10.49.196.10", 9200),
new HttpHost("10.49.196.11", 9200),
new HttpHost("10.49.196.12", 9200)).build();
ObjectMapper objectMapper = new ObjectMapper();
transport = new RestClientTransport(restClient, new JacksonJsonpMapper(objectMapper));
client = new ElasticsearchClient(transport);
}
@After
public void after() throws IOException {
client.shutdown();
}
3.2、索引
3.2.1、创建索引
@Test
public void createIndex() throws IOException {
CreateIndexResponse response = client.indices().create(builder -> builder
.settings(indexSettingsBuilder -> indexSettingsBuilder.numberOfReplicas("1").numberOfShards("2"))
.mappings(typeMappingBuilder -> typeMappingBuilder
.properties("age", propertyBuilder -> propertyBuilder.integer(integerNumberPropertyBuilder -> integerNumberPropertyBuilder))
.properties("name", propertyBuilder -> propertyBuilder.keyword(keywordPropertyBuilder -> keywordPropertyBuilder))
.properties("poems", propertyBuilder -> propertyBuilder.text(textPropertyBuilder -> textPropertyBuilder.analyzer("ik_max_word").searchAnalyzer("ik_max_word")))
.properties("about", propertyBuilder -> propertyBuilder.text(textPropertyBuilder -> textPropertyBuilder.analyzer("ik_max_word").searchAnalyzer("ik_max_word")))
.properties("success", propertyBuilder -> propertyBuilder.text(textPropertyBuilder -> textPropertyBuilder.analyzer("ik_max_word").searchAnalyzer("ik_max_word")))
)
.index(INDEX_NAME));
logger.info("acknowledged={}", response.acknowledged());
}
3.2.2、修改 _mapping 信息
字段可以新增，已有的字段只能修改字段的 search_analyzer 属性。
@Test
public void modifyIndex() throws IOException {
PutMappingResponse response = client.indices().putMapping(typeMappingBuilder -> typeMappingBuilder
.index(INDEX_NAME)
.properties("age", propertyBuilder -> propertyBuilder.integer(integerNumberPropertyBuilder -> integerNumberPropertyBuilder))
.properties("name", propertyBuilder -> propertyBuilder.keyword(keywordPropertyBuilder -> keywordPropertyBuilder))
.properties("poems", propertyBuilder -> propertyBuilder.text(textPropertyBuilder -> textPropertyBuilder.analyzer("ik_max_word").searchAnalyzer("ik_smart")))
);
logger.info("acknowledged={}", response.acknowledged());
}
3.2.3、删除索引
@Test
public void deleteIndex() throws IOException {
DeleteIndexResponse response = client.indices().delete(builder -> builder.index(INDEX_NAME));
logger.info("acknowledged={}", response.acknowledged());
}
3.2.4、查询索引列表
@Test
public void getIndex() throws IOException {
//使用 * 也可以
GetIndexResponse response = client.indices().get(builder -> builder.index("_all"));
logger.info(response.result().toString());
}
3.2.5、查询索引详情
@Test
public void getIndexDetail() throws IOException {
GetIndexResponse response = client.indices().get(builder -> builder.index(INDEX_NAME));
logger.info(response.result().toString());
}
3.3、文档
3.3.1、创建文档
@Test
public void createDoc() throws IOException {
Map<String, Object> doc = new HashMap<>();
doc.put("age", 30);
doc.put("name", "李白");
doc.put("poems", "静夜思");
doc.put("about", "字太白");
doc.put("success", "创造了古代浪漫主义文学高峰、歌行体和七绝达到后人难及的高度");
CreateResponse response = client.create(builder -> builder.index(INDEX_NAME).id("1").document(doc));
logger.info(response.toString());
Poet poet = new Poet(31, "杜甫", "登高", "字子美", "唐代伟大的现实主义文学作家，唐诗思想艺术的集大成者");
response = client.create(builder -> builder.index(INDEX_NAME).id("2").document(poet));
logger.info(response.toString());
}
3.3.2、删除文档
@Test
public void deleteDoc() throws IOException {
DeleteResponse response = client.delete(builder -> builder.index(INDEX_NAME).id("1"));
logger.info(response.toString());
}
3.3.3、修改文档
修改文档，只修改设置的字段。
@Test
public void updateDoc() throws IOException {
Map<String, Object> doc = new HashMap<>();
doc.put("age", 33);
doc.put("name", "李白2");
UpdateResponse response = client.update(builder -> builder.index(INDEX_NAME).id("1").doc(doc), Map.class);
logger.info(response.toString());
Poet poet = new Poet();
poet.setAge(40);
poet.setName("杜甫2");
response = client.update(builder -> builder.index(INDEX_NAME).id("2").doc(poet).docAsUpsert(true), Poet.class);
logger.info(response.toString());
}
3.3.4、新增或修改文档
新增或修改文档，修改时所有的字段都会覆盖(相当于先删除在新增)。
@Test
public void createOrUpdateDoc() throws IOException {
Map<String, Object> doc = new HashMap<>();
doc.put("age", 33);
doc.put("name", "李白2");
//只更新设置的字段
IndexResponse response = client.index(builder -> builder.index(INDEX_NAME).id("1").document(doc));
logger.info(response.toString());
Poet poet = new Poet();
poet.setAge(40);
poet.setName("杜甫2");
response = client.index(builder -> builder.index(INDEX_NAME).id("2").document(poet));
logger.info(response.toString());
}
3.3.5、批量操作
@Test
public void bulk() throws IOException {
List<BulkOperation> list = new ArrayList<>();
//批量新增
for (int i = 0; i < 5; i++) {
Map<String, Object> doc = new HashMap<>();
doc.put("age", 30);
doc.put("name", "李白" + i);
doc.put("poems", "静夜思");
doc.put("about", "字太白");
doc.put("success", "创造了古代浪漫主义文学高峰、歌行体和七绝达到后人难及的高度");
String id = 10 + i + "";
list.add(new BulkOperation.Builder().create(builder -> builder.index(INDEX_NAME).id(id).document(doc)).build());
}
for (int i = 0; i < 5; i++) {
Poet poet = new Poet(31, "杜甫" + i, "登高", "字子美", "唐代伟大的现实主义文学作家，唐诗思想艺术的集大成者");
String id = 20 + i + "";
list.add(new BulkOperation.Builder().create(builder -> builder.index(INDEX_NAME).id(id).document(poet)).build());
}
//批量删除
list.add(new BulkOperation.Builder().delete(builder -> builder.index(INDEX_NAME).id("1")).build());
list.add(new BulkOperation.Builder().delete(builder -> builder.index(INDEX_NAME).id("2")).build());
BulkResponse response = client.bulk(builder -> builder.index(INDEX_NAME).operations(list));
logger.info(response.toString());
}
3.4、查询
3.4.1、查询所有文档
@Test
public void getDocAll() throws IOException {
SearchResponse<Map> response = client.search(builder -> builder.index(INDEX_NAME), Map.class);
logger.info(response.toString());
}
3.4.2、查询单个文档
@Test
public void getDoc() throws IOException {
GetResponse<Map> response = client.get(builder -> builder.index(INDEX_NAME).id("1"), Map.class);
if (response.found()) {
logger.info(response.source().toString());
}
GetResponse<Poet> response2 = client.get(builder -> builder.index(INDEX_NAME).id("2"), Poet.class);
if (response2.found()) {
logger.info(response2.source().toString());
}
}
3.4.3、term/terms 查询
term/terms查询，对输入内容不做分词处理。
@Test
public void searchTerm() throws IOException {
SearchResponse<Map> response = client.search(searchRequestBuilder -> searchRequestBuilder
.index(INDEX_NAME)
.query(queryBuilder -> queryBuilder
.term(termQueryBuilder -> termQueryBuilder
.field("name").value("李白")))
.sort(sortOptionsBuilder -> sortOptionsBuilder
.field(fieldSortBuilder -> fieldSortBuilder
.field("name").order(SortOrder.Asc)))
.source(sourceConfigBuilder -> sourceConfigBuilder
.filter(sourceFilterBuilder -> sourceFilterBuilder
.includes("age", "name")))
.from(0)
.size(10)
, Map.class);
logger.info(response.toString());
List<FieldValue> words = new ArrayList<>();
words.add(new FieldValue.Builder().stringValue("李白").build());
words.add(new FieldValue.Builder().stringValue("杜甫").build());
SearchResponse<Poet> response2 = client.search(searchRequestBuilder -> searchRequestBuilder
.index(INDEX_NAME)
.query(queryBuilder -> queryBuilder
.terms(termsQueryBuilder -> termsQueryBuilder
.field("name").terms(termsQueryFieldBuilder -> termsQueryFieldBuilder.value(words))))
.source(sourceConfigBuilder -> sourceConfigBuilder
.filter(sourceFilterBuilder -> sourceFilterBuilder
.excludes("about")))
.from(0)
.size(10)
, Poet.class);
logger.info(response2.toString());
}
3.4.4、range(范围) 查询
@Test
public void searchRange() throws IOException {
SearchResponse<Poet> response = client.search(searchRequestBuilder -> searchRequestBuilder
.index(INDEX_NAME)
.query(queryBuilder -> queryBuilder
.range(rangeQueryBuilder -> rangeQueryBuilder
.field("age").gte(JsonData.of("20")).lt(JsonData.of("40"))))
, Poet.class);
logger.info(response.toString());
}
3.4.5、全文查询
3.4.5.1、match 查询
match 查询，对输入内容先分词再查询。
@Test
public void searchMatch() throws IOException {
SearchResponse<Map> response = client.search(searchRequestBuilder -> searchRequestBuilder
.index(INDEX_NAME)
.query(queryBuilder -> queryBuilder
.match(matchQueryBuilder -> matchQueryBuilder
.field("success").query("思想")))
, Map.class);
logger.info(response.toString());
}
3.4.5.2、multi_match 查询
多个字段进行匹配。
@Test
public void searchMultiMatch() throws IOException {
SearchResponse<Poet> response = client.search(searchRequestBuilder -> searchRequestBuilder
.index(INDEX_NAME)
.query(queryBuilder -> queryBuilder
.multiMatch(multiMatchQueryBuilder -> multiMatchQueryBuilder
.fields("about", "success").query("思想")))
, Poet.class);
logger.info(response.toString());
}
3.4.5.3、match_phrase 查询
匹配整个查询字符串。
@Test
public void searchMatchPhrase() throws IOException {
SearchResponse<Poet> response = client.search(searchRequestBuilder -> searchRequestBuilder
.index(INDEX_NAME)
.query(queryBuilder -> queryBuilder
.matchPhrase(matchPhraseQueryBuilder -> matchPhraseQueryBuilder.field("success").query("文学作家")))
, Poet.class);
logger.info(response.toString());
}
3.4.5.4、match_all 查询
查询所有文档。
@Test
public void searchMatchAll() throws IOException {
SearchResponse<Poet> response = client.search(searchRequestBuilder -> searchRequestBuilder
.index(INDEX_NAME)
.query(queryBuilder -> queryBuilder
.matchAll(matchAllQueryBuilder -> matchAllQueryBuilder))
, Poet.class);
logger.info(response.toString());
}
3.4.5.5、query_string 查询
query_string 可以同时实现前面几种查询方法。
@Test
public void searchQueryString() throws IOException {
//类似 match
SearchResponse<Poet> response = client.search(searchRequestBuilder -> searchRequestBuilder
.index(INDEX_NAME)
.query(queryBuilder -> queryBuilder
.queryString(queryStringQueryBuilder -> queryStringQueryBuilder
.defaultField("success").query("古典文学")))
, Poet.class);
logger.info(response.toString());
//类似 mulit_match
response = client.search(searchRequestBuilder -> searchRequestBuilder
.index(INDEX_NAME)
.query(queryBuilder -> queryBuilder
.queryString(queryStringQueryBuilder -> queryStringQueryBuilder
.fields("about", "success").query("古典文学")))
, Poet.class);
logger.info(response.toString());
//类似 match_phrase
response = client.search(searchRequestBuilder -> searchRequestBuilder
.index(INDEX_NAME)
.query(queryBuilder -> queryBuilder
.queryString(queryStringQueryBuilder -> queryStringQueryBuilder
.defaultField("success").query("\"文学作家\"")))
, Poet.class);
logger.info(response.toString());
//带运算符查询，运算符两边的词不再分词
//查询同时包含 ”文学“ 和 ”伟大“ 的文档
response = client.search(searchRequestBuilder -> searchRequestBuilder
.index(INDEX_NAME)
.query(queryBuilder -> queryBuilder
.queryString(queryStringQueryBuilder -> queryStringQueryBuilder
.fields("success").query("文学 AND 伟大")))
, Poet.class);
logger.info(response.toString());
//等同上一个查询
response = client.search(searchRequestBuilder -> searchRequestBuilder
.index(INDEX_NAME)
.query(queryBuilder -> queryBuilder
.queryString(queryStringQueryBuilder -> queryStringQueryBuilder
.fields("success").query("文学 伟大").defaultOperator(Operator.And)))
, Poet.class);
logger.info(response.toString());
//查询 name 或 success 字段包含"文学"和"伟大"这两个单词，或者包含"李白"这个单词的文档。
response = client.search(searchRequestBuilder -> searchRequestBuilder
.index(INDEX_NAME)
.query(queryBuilder -> queryBuilder
.queryString(queryStringQueryBuilder -> queryStringQueryBuilder
.fields("name","success").query("(文学 AND 伟大) OR 高度")))
, Poet.class);
logger.info(response.toString());
}
3.4.5.6、simple_query_string 查询
类似 query_string，主要区别如下：
1、不支持AND OR NOT ，会当做字符处理；使用 + 代替 AND，| 代替OR，- 代替 NOT
2、会忽略错误的语法
@Test
public void searchSimpleQueryString() throws IOException {
//查询同时包含 ”文学“ 和 ”伟大“ 的文档
SearchResponse<Poet> response = client.search(searchRequestBuilder -> searchRequestBuilder
.index(INDEX_NAME)
.query(queryBuilder -> queryBuilder
.simpleQueryString(simpleQueryStringQueryBuilder -> simpleQueryStringQueryBuilder
.fields("success").query("文学 + 伟大")))
, Poet.class);
logger.info(response.toString());
}
3.4.6、模糊查询
@Test
public void searchFuzzy() throws IOException {
//全文查询时使用模糊参数，先分词再计算模糊选项。
SearchResponse<Poet> response = client.search(searchRequestBuilder -> searchRequestBuilder
.index(INDEX_NAME)
.query(queryBuilder -> queryBuilder
.match(matchQueryBuilder -> matchQueryBuilder
.field("success").query("思考").fuzziness("1")))
, Poet.class);
logger.info(response.toString());
//使用 fuzzy query，对输入不分词，直接计算模糊选项。
SearchResponse<Poet> response2 = client.search(searchRequestBuilder -> searchRequestBuilder
.index(INDEX_NAME)
.query(queryBuilder -> queryBuilder
.fuzzy(fuzzyQueryBuilder -> fuzzyQueryBuilder
.field("success").fuzziness("1").value("理想")))
, Poet.class);
logger.info(response2.toString());
}
3.4.7、组合查询
@Test
public void searchBool() throws IOException {
//查询 success 包含 “思想” 且 age 在 [20-40] 之间的文档
SearchResponse<Poet> response = client.search(searchRequestBuilder -> searchRequestBuilder
.index(INDEX_NAME)
.query(queryBuilder -> queryBuilder
.bool(boolQueryBuilder -> boolQueryBuilder
.must(queryBuilder2 -> queryBuilder2
.match(matchQueryBuilder -> matchQueryBuilder
.field("success").query("思想"))
)
.must(queryBuilder2 -> queryBuilder2
.range(rangeQueryBuilder -> rangeQueryBuilder
.field("age").gte(JsonData.of("20")).lt(JsonData.of("40")))
)
)
)
, Poet.class);
logger.info(response.toString());
//过滤出 success 包含 “思想” 且 age 在 [20-40] 之间的文档，不计算得分
SearchResponse<Poet> response2 = client.search(searchRequestBuilder -> searchRequestBuilder
.index(INDEX_NAME)
.query(queryBuilder -> queryBuilder
.bool(boolQueryBuilder -> boolQueryBuilder
.filter(queryBuilder2 -> queryBuilder2
.match(matchQueryBuilder -> matchQueryBuilder
.field("success").query("思想"))
)
.filter(queryBuilder2 -> queryBuilder2
.range(rangeQueryBuilder -> rangeQueryBuilder
.field("age").gte(JsonData.of("20")).lt(JsonData.of("40")))
)
)
)
, Poet.class);
logger.info(response2.toString());
}
3.4.8、聚合查询
@Test
public void searchAggs() throws IOException {
//求和
SearchResponse<Poet> response = client.search(searchRequestBuilder -> searchRequestBuilder
.index(INDEX_NAME)
.aggregations("age_sum", aggregationBuilder -> aggregationBuilder
.sum(sumAggregationBuilder -> sumAggregationBuilder
.field("age")))
, Poet.class);
logger.info(response.toString());
//类似 select count distinct(age) from poet-index
response = client.search(searchRequestBuilder -> searchRequestBuilder
.index(INDEX_NAME)
.aggregations("age_count", aggregationBuilder -> aggregationBuilder
.cardinality(cardinalityAggregationBuilder -> cardinalityAggregationBuilder.field("age")))
, Poet.class);
logger.info(response.toString());
//数量、最大、最小、平均、求和
response = client.search(searchRequestBuilder -> searchRequestBuilder
.index(INDEX_NAME)
.aggregations("age_stats", aggregationBuilder -> aggregationBuilder
.stats(statsAggregationBuilder -> statsAggregationBuilder
.field("age")))
, Poet.class);
logger.info(response.toString());
//select name,count(*) from poet-index group by name
response = client.search(searchRequestBuilder -> searchRequestBuilder
.index(INDEX_NAME)
.aggregations("name_terms", aggregationBuilder -> aggregationBuilder
.terms(termsAggregationBuilder -> termsAggregationBuilder
.field("name")))
, Poet.class);
logger.info(response.toString());
//select name,age,count(*) from poet-index group by name,age
response = client.search(searchRequestBuilder -> searchRequestBuilder
.index(INDEX_NAME)
.aggregations("name_terms", aggregationBuilder -> aggregationBuilder
.terms(termsAggregationBuilder -> termsAggregationBuilder
.field("name")
)
.aggregations("age_terms", aggregationBuilder2 -> aggregationBuilder2
.terms(termsAggregationBuilder -> termsAggregationBuilder
.field("age")
))
)
, Poet.class);
logger.info(response.toString());
//类似 select avg(age) from poet-index where name='李白'
response = client.search(searchRequestBuilder -> searchRequestBuilder
.index(INDEX_NAME)
.query(queryBuilder -> queryBuilder
.bool(boolQueryBuilder -> boolQueryBuilder
.filter(queryBuilder2 -> queryBuilder2
.term(termQueryBuilder -> termQueryBuilder
.field("name").value("李白")))))
.aggregations("ave_age", aggregationBuilder -> aggregationBuilder
.avg(averageAggregationBuilder -> averageAggregationBuilder.field("age")))
, Poet.class);
logger.info(response.toString());
}
3.4.9、推荐搜索
@Test
public void searchSuggest() throws IOException {
SearchResponse<Poet> response = client.search(searchRequestBuilder -> searchRequestBuilder
.index(INDEX_NAME)
.suggest(suggesterBuilder -> suggesterBuilder
.suggesters("success_suggest", fieldSuggesterBuilder -> fieldSuggesterBuilder
.text("思考")
.term(termSuggesterBuilder -> termSuggesterBuilder
.field("success")
.suggestMode(SuggestMode.Always)
.minWordLength(2)
)
)
)
, Poet.class);
logger.info(response.toString());
}
该测试会报如下错误：
co.elastic.clients.json.JsonpMappingException: Error deserializing co.elastic.clients.elasticsearch.core.search.TermSuggest: co.elastic.clients.json.UnexpectedJsonEventException: Unexpected JSON event 'START_ARRAY' instead of '[START_OBJECT, KEY_NAME]' (JSON path: suggest['term#success_suggest'][0].options) (line no=1, column no=247, offset=-1)
还有高手知道原因？
3.4.10、高亮显示
@Test
public void searchHighlight() throws IOException {
SearchResponse<Poet> response = client.search(searchRequestBuilder -> searchRequestBuilder
.index(INDEX_NAME)
.query(queryBuilder -> queryBuilder
.match(matchQueryBuilder -> matchQueryBuilder
.field("success").query("思想")))
.highlight(highlightBuilder -> highlightBuilder
.preTags("<span color='red'>")
.postTags("</span>")
.fields("success", highlightFieldBuilder -> highlightFieldBuilder))
, Poet.class);
logger.info(response.toString());
}
3.4.11、SQL 查询
@Test
public void searchSql() throws IOException {
QueryResponse response = client.sql().query(builder -> builder
.format("json").query("SELECT * FROM \"" + INDEX_NAME + "\" limit 3"));
logger.info(response.toString());
}
该测试会报如下错误：
co.elastic.clients.json.JsonpMappingException: Error deserializing co.elastic.clients.elasticsearch.sql.QueryResponse: java.lang.UnsupportedOperationException (JSON path: rows[0][0]) (line no=1, column no=184, offset=-1)
还有高手知道原因？
3.5、完整代码
package com.abc.demo.es;
import co.elastic.clients.elasticsearch.ElasticsearchClient;
import co.elastic.clients.elasticsearch._types.*;
import co.elastic.clients.elasticsearch._types.aggregations.AverageAggregation;
import co.elastic.clients.elasticsearch._types.aggregations.CardinalityAggregation;
import co.elastic.clients.elasticsearch._types.aggregations.SumAggregation;
import co.elastic.clients.elasticsearch._types.query_dsl.*;
import co.elastic.clients.elasticsearch.cat.IndicesResponse;
import co.elastic.clients.elasticsearch.core.*;
import co.elastic.clients.elasticsearch.core.bulk.BulkOperation;
import co.elastic.clients.elasticsearch.indices.*;
import co.elastic.clients.elasticsearch.sql.QueryResponse;
import co.elastic.clients.json.JsonData;
import co.elastic.clients.json.jackson.JacksonJsonpMapper;
import co.elastic.clients.transport.ElasticsearchTransport;
import co.elastic.clients.transport.rest_client.RestClientTransport;
import com.fasterxml.jackson.databind.ObjectMapper;
import lombok.AllArgsConstructor;
import lombok.Data;
import lombok.NoArgsConstructor;
import org.apache.http.HttpHost;
import org.elasticsearch.client.RestClient;
import org.junit.After;
import org.junit.Before;
import org.junit.Test;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import java.io.IOException;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
public class ElasticsearchJavaCase {
private static final Logger logger = LoggerFactory.getLogger(ElasticsearchJavaCase.class.getName());
private static final String INDEX_NAME = "poet-index";
private ElasticsearchTransport transport;
private ElasticsearchClient client;
@Before
public void before() {
RestClient restClient = RestClient.builder(
new HttpHost("10.49.196.10", 9200),
new HttpHost("10.49.196.11", 9200),
new HttpHost("10.49.196.12", 9200)).build();
ObjectMapper objectMapper = new ObjectMapper();
transport = new RestClientTransport(restClient, new JacksonJsonpMapper(objectMapper));
client = new ElasticsearchClient(transport);
}
@After
public void after() throws IOException {
transport.close();
}
/**
* 创建索引
*/
@Test
public void createIndex() throws IOException {
CreateIndexResponse response = client.indices().create(builder -> builder
.settings(indexSettingsBuilder -> indexSettingsBuilder.numberOfReplicas("1").numberOfShards("2"))
.mappings(typeMappingBuilder -> typeMappingBuilder
.properties("age", propertyBuilder -> propertyBuilder.integer(integerNumberPropertyBuilder -> integerNumberPropertyBuilder))
.properties("name", propertyBuilder -> propertyBuilder.keyword(keywordPropertyBuilder -> keywordPropertyBuilder))
.properties("poems", propertyBuilder -> propertyBuilder.text(textPropertyBuilder -> textPropertyBuilder.analyzer("ik_max_word").searchAnalyzer("ik_max_word")))
.properties("about", propertyBuilder -> propertyBuilder.text(textPropertyBuilder -> textPropertyBuilder.analyzer("ik_max_word").searchAnalyzer("ik_max_word")))
.properties("success", propertyBuilder -> propertyBuilder.text(textPropertyBuilder -> textPropertyBuilder.analyzer("ik_max_word").searchAnalyzer("ik_max_word")))
)
.index(INDEX_NAME));
logger.info("acknowledged={}", response.acknowledged());
}
/**
* 修改索引的_mapping信息
* 字段可以新增，已有的字段只能修改字段的search_analyzer属性
*/
@Test
public void modifyIndex() throws IOException {
PutMappingResponse response = client.indices().putMapping(typeMappingBuilder -> typeMappingBuilder
.index(INDEX_NAME)
.properties("age", propertyBuilder -> propertyBuilder.integer(integerNumberPropertyBuilder -> integerNumberPropertyBuilder))
.properties("name", propertyBuilder -> propertyBuilder.keyword(keywordPropertyBuilder -> keywordPropertyBuilder))
.properties("poems", propertyBuilder -> propertyBuilder.text(textPropertyBuilder -> textPropertyBuilder.analyzer("ik_max_word").searchAnalyzer("ik_smart")))
);
logger.info("acknowledged={}", response.acknowledged());
}
/**
* 删除索引
*/
@Test
public void deleteIndex() throws IOException {
DeleteIndexResponse response = client.indices().delete(builder -> builder.index(INDEX_NAME));
logger.info("acknowledged={}", response.acknowledged());
}
/**
* 查询索引列表
*/
@Test
public void getIndex() throws IOException {
//使用 * 也可以
GetIndexResponse response = client.indices().get(builder -> builder.index("_all"));
logger.info(response.result().toString());
}
/**
* 查询索引详情
*/
@Test
public void getIndexDetail() throws IOException {
GetIndexResponse response = client.indices().get(builder -> builder.index(INDEX_NAME));
logger.info(response.result().toString());
}
/**
* 创建文档
*/
@Test
public void createDoc() throws IOException {
Map<String, Object> doc = new HashMap<>();
doc.put("age", 30);
doc.put("name", "李白");
doc.put("poems", "静夜思");
doc.put("about", "字太白");
doc.put("success", "创造了古代浪漫主义文学高峰、歌行体和七绝达到后人难及的高度");
CreateResponse response = client.create(builder -> builder.index(INDEX_NAME).id("1").document(doc));
logger.info(response.toString());
Poet poet = new Poet(31, "杜甫", "登高", "字子美", "唐代伟大的现实主义文学作家，唐诗思想艺术的集大成者");
response = client.create(builder -> builder.index(INDEX_NAME).id("2").document(poet));
logger.info(response.toString());
}
/**
* 删除文档
*/
@Test
public void deleteDoc() throws IOException {
DeleteResponse response = client.delete(builder -> builder.index(INDEX_NAME).id("1"));
logger.info(response.toString());
}
/**
* 修改文档，只修改设置的字段
*/
@Test
public void updateDoc() throws IOException {
Map<String, Object> doc = new HashMap<>();
doc.put("age", 33);
doc.put("name", "李白2");
UpdateResponse response = client.update(builder -> builder.index(INDEX_NAME).id("1").doc(doc), Map.class);
logger.info(response.toString());
Poet poet = new Poet();
poet.setAge(40);
poet.setName("杜甫2");
response = client.update(builder -> builder.index(INDEX_NAME).id("2").doc(poet).docAsUpsert(true), Poet.class);
logger.info(response.toString());
}
/**
* 新增或修改文档，修改时所有的字段都会覆盖(相当于先删除在新增)
*/
@Test
public void createOrUpdateDoc() throws IOException {
Map<String, Object> doc = new HashMap<>();
doc.put("age", 33);
doc.put("name", "李白2");
//只更新设置的字段
IndexResponse response = client.index(builder -> builder.index(INDEX_NAME).id("1").document(doc));
logger.info(response.toString());
Poet poet = new Poet();
poet.setAge(40);
poet.setName("杜甫2");
response = client.index(builder -> builder.index(INDEX_NAME).id("2").document(poet));
logger.info(response.toString());
}
/**
* 批量操作
*/
@Test
public void bulk() throws IOException {
List<BulkOperation> list = new ArrayList<>();
//批量新增
for (int i = 0; i < 5; i++) {
Map<String, Object> doc = new HashMap<>();
doc.put("age", 30);
doc.put("name", "李白" + i);
doc.put("poems", "静夜思");
doc.put("about", "字太白");
doc.put("success", "创造了古代浪漫主义文学高峰、歌行体和七绝达到后人难及的高度");
String id = 10 + i + "";
list.add(new BulkOperation.Builder().create(builder -> builder.index(INDEX_NAME).id(id).document(doc)).build());
}
for (int i = 0; i < 5; i++) {
Poet poet = new Poet(31, "杜甫" + i, "登高", "字子美", "唐代伟大的现实主义文学作家，唐诗思想艺术的集大成者");
String id = 20 + i + "";
list.add(new BulkOperation.Builder().create(builder -> builder.index(INDEX_NAME).id(id).document(poet)).build());
}
//批量删除
list.add(new BulkOperation.Builder().delete(builder -> builder.index(INDEX_NAME).id("1")).build());
list.add(new BulkOperation.Builder().delete(builder -> builder.index(INDEX_NAME).id("2")).build());
BulkResponse response = client.bulk(builder -> builder.index(INDEX_NAME).operations(list));
logger.info(response.toString());
}
/**
* 查询索有文档
*/
@Test
public void getDocAll() throws IOException {
SearchResponse<Map> response = client.search(builder -> builder.index(INDEX_NAME), Map.class);
logger.info(response.toString());
}
/**
* 查询单个文档
*/
@Test
public void getDoc() throws IOException {
GetResponse<Map> response = client.get(builder -> builder.index(INDEX_NAME).id("1"), Map.class);
if (response.found()) {
logger.info(response.source().toString());
}
GetResponse<Poet> response2 = client.get(builder -> builder.index(INDEX_NAME).id("2"), Poet.class);
if (response2.found()) {
logger.info(response2.source().toString());
}
}
/**
* term/terms查询,对输入内容不做分词处理
*/
@Test
public void searchTerm() throws IOException {
SearchResponse<Map> response = client.search(searchRequestBuilder -> searchRequestBuilder
.index(INDEX_NAME)
.query(queryBuilder -> queryBuilder
.term(termQueryBuilder -> termQueryBuilder
.field("name").value("李白")))
.sort(sortOptionsBuilder -> sortOptionsBuilder
.field(fieldSortBuilder -> fieldSortBuilder
.field("name").order(SortOrder.Asc)))
.source(sourceConfigBuilder -> sourceConfigBuilder
.filter(sourceFilterBuilder -> sourceFilterBuilder
.includes("age", "name")))
.from(0)
.size(10)
, Map.class);
logger.info(response.toString());
List<FieldValue> words = new ArrayList<>();
words.add(new FieldValue.Builder().stringValue("李白").build());
words.add(new FieldValue.Builder().stringValue("杜甫").build());
SearchResponse<Poet> response2 = client.search(searchRequestBuilder -> searchRequestBuilder
.index(INDEX_NAME)
.query(queryBuilder -> queryBuilder
.terms(termsQueryBuilder -> termsQueryBuilder
.field("name").terms(termsQueryFieldBuilder -> termsQueryFieldBuilder.value(words))))
.source(sourceConfigBuilder -> sourceConfigBuilder
.filter(sourceFilterBuilder -> sourceFilterBuilder
.excludes("about")))
.from(0)
.size(10)
, Poet.class);
logger.info(response2.toString());
}
/**
* range查询,范围查询
*/
@Test
public void searchRange() throws IOException {
SearchResponse<Poet> response = client.search(searchRequestBuilder -> searchRequestBuilder
.index(INDEX_NAME)
.query(queryBuilder -> queryBuilder
.range(rangeQueryBuilder -> rangeQueryBuilder
.field("age").gte(JsonData.of("20")).lt(JsonData.of("40"))))
, Poet.class);
logger.info(response.toString());
}
/**
* match查询，对输入内容先分词再查询
*/
@Test
public void searchMatch() throws IOException {
SearchResponse<Map> response = client.search(searchRequestBuilder -> searchRequestBuilder
.index(INDEX_NAME)
.query(queryBuilder -> queryBuilder
.match(matchQueryBuilder -> matchQueryBuilder
.field("success").query("思想")))
, Map.class);
logger.info(response.toString());
}
/**
* multi_match查询,-
*/
@Test
public void searchMultiMatch() throws IOException {
SearchResponse<Poet> response = client.search(searchRequestBuilder -> searchRequestBuilder
.index(INDEX_NAME)
.query(queryBuilder -> queryBuilder
.multiMatch(multiMatchQueryBuilder -> multiMatchQueryBuilder
.fields("about", "success").query("思想")))
, Poet.class);
logger.info(response.toString());
}
/**
* match_phrase 查询,匹配整个查询字符串
*/
@Test
public void searchMatchPhrase() throws IOException {
SearchResponse<Poet> response = client.search(searchRequestBuilder -> searchRequestBuilder
.index(INDEX_NAME)
.query(queryBuilder -> queryBuilder
.matchPhrase(matchPhraseQueryBuilder -> matchPhraseQueryBuilder.field("success").query("文学作家")))
, Poet.class);
logger.info(response.toString());
}
/**
* match_all 查询,查询所有
*/
@Test
public void searchMatchAll() throws IOException {
SearchResponse<Poet> response = client.search(searchRequestBuilder -> searchRequestBuilder
.index(INDEX_NAME)
.query(queryBuilder -> queryBuilder
.matchAll(matchAllQueryBuilder -> matchAllQueryBuilder))
, Poet.class);
logger.info(response.toString());
}
/**
* query_string 查询
*/
@Test
public void searchQueryString() throws IOException {
//类似 match
SearchResponse<Poet> response = client.search(searchRequestBuilder -> searchRequestBuilder
.index(INDEX_NAME)
.query(queryBuilder -> queryBuilder
.queryString(queryStringQueryBuilder -> queryStringQueryBuilder
.defaultField("success").query("古典文学")))
, Poet.class);
logger.info(response.toString());
//类似 mulit_match
response = client.search(searchRequestBuilder -> searchRequestBuilder
.index(INDEX_NAME)
.query(queryBuilder -> queryBuilder
.queryString(queryStringQueryBuilder -> queryStringQueryBuilder
.fields("about", "success").query("古典文学")))
, Poet.class);
logger.info(response.toString());
//类似 match_phrase
response = client.search(searchRequestBuilder -> searchRequestBuilder
.index(INDEX_NAME)
.query(queryBuilder -> queryBuilder
.queryString(queryStringQueryBuilder -> queryStringQueryBuilder
.defaultField("success").query("\"文学作家\"")))
, Poet.class);
logger.info(response.toString());
//带运算符查询，运算符两边的词不再分词
//查询同时包含 ”文学“ 和 ”伟大“ 的文档
response = client.search(searchRequestBuilder -> searchRequestBuilder
.index(INDEX_NAME)
.query(queryBuilder -> queryBuilder
.queryString(queryStringQueryBuilder -> queryStringQueryBuilder
.fields("success").query("文学 AND 伟大")))
, Poet.class);
logger.info(response.toString());
//等同上一个查询
response = client.search(searchRequestBuilder -> searchRequestBuilder
.index(INDEX_NAME)
.query(queryBuilder -> queryBuilder
.queryString(queryStringQueryBuilder -> queryStringQueryBuilder
.fields("success").query("文学 伟大").defaultOperator(Operator.And)))
, Poet.class);
logger.info(response.toString());
//查询 name 或 success 字段包含"文学"和"伟大"这两个单词，或者包含"李白"这个单词的文档。
response = client.search(searchRequestBuilder -> searchRequestBuilder
.index(INDEX_NAME)
.query(queryBuilder -> queryBuilder
.queryString(queryStringQueryBuilder -> queryStringQueryBuilder
.fields("name","success").query("(文学 AND 伟大) OR 高度")))
, Poet.class);
logger.info(response.toString());
}
/**
* simple_query_string 查询,和query_string类似
* 不支持AND OR NOT，会当做字符串处理
* 使用 +替代AND,|替代OR,-替代NOT
*/
@Test
public void searchSimpleQueryString() throws IOException {
//查询同时包含 ”文学“ 和 ”伟大“ 的文档
SearchResponse<Poet> response = client.search(searchRequestBuilder -> searchRequestBuilder
.index(INDEX_NAME)
.query(queryBuilder -> queryBuilder
.simpleQueryString(simpleQueryStringQueryBuilder -> simpleQueryStringQueryBuilder
.fields("success").query("文学 + 伟大")))
, Poet.class);
logger.info(response.toString());
}
/**
* 模糊查询
*/
@Test
public void searchFuzzy() throws IOException {
//全文查询时使用模糊参数，先分词再计算模糊选项。
SearchResponse<Poet> response = client.search(searchRequestBuilder -> searchRequestBuilder
.index(INDEX_NAME)
.query(queryBuilder -> queryBuilder
.match(matchQueryBuilder -> matchQueryBuilder
.field("success").query("思考").fuzziness("1")))
, Poet.class);
logger.info(response.toString());
//使用 fuzzy query，对输入不分词，直接计算模糊选项。
SearchResponse<Poet> response2 = client.search(searchRequestBuilder -> searchRequestBuilder
.index(INDEX_NAME)
.query(queryBuilder -> queryBuilder
.fuzzy(fuzzyQueryBuilder -> fuzzyQueryBuilder
.field("success").fuzziness("1").value("理想")))
, Poet.class);
logger.info(response2.toString());
}
/**
* bool查询,组合查询
*/
@Test
public void searchBool() throws IOException {
//查询 success 包含 “思想” 且 age 在 [20-40] 之间的文档
SearchResponse<Poet> response = client.search(searchRequestBuilder -> searchRequestBuilder
.index(INDEX_NAME)
.query(queryBuilder -> queryBuilder
.bool(boolQueryBuilder -> boolQueryBuilder
.must(queryBuilder2 -> queryBuilder2
.match(matchQueryBuilder -> matchQueryBuilder
.field("success").query("思想"))
)
.must(queryBuilder2 -> queryBuilder2
.range(rangeQueryBuilder -> rangeQueryBuilder
.field("age").gte(JsonData.of("20")).lt(JsonData.of("40")))
)
)
)
, Poet.class);
logger.info(response.toString());
//过滤出 success 包含 “思想” 且 age 在 [20-40] 之间的文档，不计算得分
SearchResponse<Poet> response2 = client.search(searchRequestBuilder -> searchRequestBuilder
.index(INDEX_NAME)
.query(queryBuilder -> queryBuilder
.bool(boolQueryBuilder -> boolQueryBuilder
.filter(queryBuilder2 -> queryBuilder2
.match(matchQueryBuilder -> matchQueryBuilder
.field("success").query("思想"))
)
.filter(queryBuilder2 -> queryBuilder2
.range(rangeQueryBuilder -> rangeQueryBuilder
.field("age").gte(JsonData.of("20")).lt(JsonData.of("40")))
)
)
)
, Poet.class);
logger.info(response2.toString());
}
/**
* aggs查询,聚合查询
*/
@Test
public void searchAggs() throws IOException {
//求和
SearchResponse<Poet> response = client.search(searchRequestBuilder -> searchRequestBuilder
.index(INDEX_NAME)
.aggregations("age_sum", aggregationBuilder -> aggregationBuilder
.sum(sumAggregationBuilder -> sumAggregationBuilder
.field("age")))
, Poet.class);
logger.info(response.toString());
//类似 select count distinct(age) from poet-index
response = client.search(searchRequestBuilder -> searchRequestBuilder
.index(INDEX_NAME)
.aggregations("age_count", aggregationBuilder -> aggregationBuilder
.cardinality(cardinalityAggregationBuilder -> cardinalityAggregationBuilder.field("age")))
, Poet.class);
logger.info(response.toString());
//数量、最大、最小、平均、求和
response = client.search(searchRequestBuilder -> searchRequestBuilder
.index(INDEX_NAME)
.aggregations("age_stats", aggregationBuilder -> aggregationBuilder
.stats(statsAggregationBuilder -> statsAggregationBuilder
.field("age")))
, Poet.class);
logger.info(response.toString());
//select name,count(*) from poet-index group by name
response = client.search(searchRequestBuilder -> searchRequestBuilder
.index(INDEX_NAME)
.aggregations("name_terms", aggregationBuilder -> aggregationBuilder
.terms(termsAggregationBuilder -> termsAggregationBuilder
.field("name")))
, Poet.class);
logger.info(response.toString());
//select name,age,count(*) from poet-index group by name,age
response = client.search(searchRequestBuilder -> searchRequestBuilder
.index(INDEX_NAME)
.aggregations("name_terms", aggregationBuilder -> aggregationBuilder
.terms(termsAggregationBuilder -> termsAggregationBuilder
.field("name")
)
.aggregations("age_terms", aggregationBuilder2 -> aggregationBuilder2
.terms(termsAggregationBuilder -> termsAggregationBuilder
.field("age")
))
)
, Poet.class);
logger.info(response.toString());
//类似 select avg(age) from poet-index where name='李白'
response = client.search(searchRequestBuilder -> searchRequestBuilder
.index(INDEX_NAME)
.query(queryBuilder -> queryBuilder
.bool(boolQueryBuilder -> boolQueryBuilder
.filter(queryBuilder2 -> queryBuilder2
.term(termQueryBuilder -> termQueryBuilder
.field("name").value("李白")))))
.aggregations("ave_age", aggregationBuilder -> aggregationBuilder
.avg(averageAggregationBuilder -> averageAggregationBuilder.field("age")))
, Poet.class);
logger.info(response.toString());
}
/**
* suggest查询,推荐搜索, 报错
*/
@Test
public void searchSuggest() throws IOException {
SearchResponse<Poet> response = client.search(searchRequestBuilder -> searchRequestBuilder
.index(INDEX_NAME)
.suggest(suggesterBuilder -> suggesterBuilder
.suggesters("success_suggest", fieldSuggesterBuilder -> fieldSuggesterBuilder
.text("思考")
.term(termSuggesterBuilder -> termSuggesterBuilder
.field("success")
.suggestMode(SuggestMode.Always)
.minWordLength(2)
)
)
)
, Poet.class);
logger.info(response.toString());
}
/**
* 高亮显示
*/
@Test
public void searchHighlight() throws IOException {
SearchResponse<Poet> response = client.search(searchRequestBuilder -> searchRequestBuilder
.index(INDEX_NAME)
.query(queryBuilder -> queryBuilder
.match(matchQueryBuilder -> matchQueryBuilder
.field("success").query("思想")))
.highlight(highlightBuilder -> highlightBuilder
.preTags("<span color='red'>")
.postTags("</span>")
.fields("success", highlightFieldBuilder -> highlightFieldBuilder))
, Poet.class);
logger.info(response.toString());
}
/**
* sql查询，报错
*/
@Test
public void searchSql() throws IOException {
QueryResponse response = client.sql().query(builder -> builder
.format("json").query("SELECT * FROM \"" + INDEX_NAME + "\" limit 1"));
logger.info(response.toString());
}
@Data
@AllArgsConstructor
@NoArgsConstructor
static class Poet {
private Integer age;
private String name;
private String poems;
private String about;
/**成就*/
private String success;
}
}
ElasticsearchJavaCase.java
详细的 Elasticsearch Java API Client 使用说明，请参考官网文档：https://www.elastic.co/guide/en/elasticsearch/client/java-api-client/current/index.html。
这篇关于Elasticsearch 入门实战(5)--Java API Client 使用的文章就介绍到这儿，希望我们推荐的文章对大家有所帮助，也希望大家多多支持为之网！
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