其中TransportClient和RestClient是Elasticsearch原生的api。TransportClient可以支持2.x,5.x版本,TransportClient将会在Elasticsearch 7.0弃用并在8.0中完成删除,替而代之,我们使用Java High Level REST Client,它使用HTTP请求而不是Java序列化请求。
Jest是Java社区开发的,是Elasticsearch的Java Http Rest客户端;Spring Data Elasticsearch是spring集成的Elasticsearch开发包。
建议 :TransportClient将会在后面的版本中弃用,因此不推荐后续使用;而Jest由于是社区维护,所以更新有一定延迟,目前最新版对接ES6.3.1,近一个月只有四个issue,说明整体活跃度较低,因此也不推荐使用;Spring Data Elasticsearch主要是与Spring生态对接,可以在web系统中整合到Spring中使用。目前比较推荐使用官方的高阶、低阶Rest Client,官方维护,比较值得信赖。本文主要介绍RestClient,其他的只做简单概述。
这里考虑到后面版本将弃用TransportClinet,主要简单介绍TransportClient的创建、以及一些基本增删改查操作。
<dependency> <groupId>org.elasticsearch.client</groupId> <artifactId>transport</artifactId> <version>6.4.3</version> </dependency> <dependency> <groupId>org.elasticsearch</groupId> <artifactId>elasticsearch</artifactId> <version>6.4.3</version> </dependency> /** * @Author: Yang JianQiu * @Date: 2018/11/12 16:40 * * transportClient将会在7.0版本上过时,并在8.0版本上移除掉,建议使用Java High Level REST Client */ public class TransportClientUtils { private TransportClient client = null; /** * 这里使用饿汉单例模式创建TransportClient */ public TransportClientUtils() { if (client == null){ synchronized (TransportClientUtils.class){ if (client == null){ client = getClient(); } } } } public TransportClient getClient(){ TransportClient client = null; try { Settings settings = Settings.builder() .put("client.transport.sniff", true) .put("cluster.name", "bigdata").build(); client = new PreBuiltTransportClient(settings) .addTransportAddress(new TransportAddress(new InetSocketAddress("192.168.187.201", 9300))); } catch (Exception e) { e.printStackTrace(); } return client; } public viod test(){ //增,插入记录 IndexResponse response = client.prepareIndex("twitter", "_doc") .setSource(json, XContentType.JSON) .get(); //根据Id查询 GetResponse response = client.prepareGet("twitter", "_doc", 1).get(); //根据Id删除 DeleteResponse response = client.prepareDelete("twitter", "_doc", 1).get(); //根据Id更新对应的字段 UpdateRequest updateRequest1 = new UpdateRequest("twitter", "_doc", "NpEWCGcBi36MQkKOSdf3") .doc(jsonBuilder() .startObject() .field("user", "tom") .endObject() ); client.update(updateRequest1).get(); //另外还有批处理API、search负责查询API、Aggregate聚合API... } }
具体的TransportClient的其他API应用可以参考Elasticsearch的TransportClient API doc:
https://www.elastic.co/guide/en/elasticsearch/client/java- api/current/index.html
后面的elasticSearch版本将主要使用Rest Client操作数据。
Rest Client分为Java Low REST Client和Java High Level REST Client。
maven的依赖包:
<dependency> <groupId>org.elasticsearch.client</groupId> <artifactId>elasticsearch-rest-high-level-client</artifactId> <version>6.4.3</version> </dependency> <dependency> <groupId>org.elasticsearch.client</groupId> <artifactId>elasticsearch-rest-client</artifactId> <version>6.4.3</version> </dependency> <dependency> <groupId>org.elasticsearch</groupId> <artifactId>elasticsearch</artifactId> <version>6.4.3</version> </dependency>
RestHighLevelClient与RestClient的创建:
/** * @author: Swordfall Yeung * @date: * @desc: */ public class RestClientUtils { /** * 高阶Rest Client */ private RestHighLevelClient client = null; /** * 低阶Rest Client */ private RestClient restClient = null; /** * 这里使用饿汉单例模式创建RestHighLevelClient */ public RestClientUtils() { if (client == null) { synchronized (RestHighLevelClient.class) { if (client == null) { client = getClient(); } } } } private RestHighLevelClient getClient() { RestHighLevelClient client = null; try { client = new RestHighLevelClient( RestClient.builder( new HttpHost("192.168.187.201", 9300, "http") ) ); } catch (Exception e) { e.printStackTrace(); } return client; } private RestClient getRestClient() { RestClient client = null; try { client = RestClient.builder( new HttpHost("192.168.187.201", 9300, "http") ).build(); } catch (Exception e) { e.printStackTrace(); } return client; } public void closeClient() { try { if (client != null) { client.close(); } } catch (IOException e) { e.printStackTrace(); } } /** * document API 主要是些简单的增删改查操作 */ public void documentAPI() { //... } /** * Search API 主要是些复杂查询操作 */ public void searchAPI() { //... } }
RestHighLevelAPI分为Document APIs、Search APIs、Miscellaneous APIs、Indices APIs、Cluster APIs...等等,这里主要介绍常用的Document APIs和Search APIs,其余的APIs可以参考:https://www.elastic.co/guide/en/elasticsearch/client/java- rest/current/java-rest-high.html
Document APIs主要涉及些增删改查等操作,包括Single document APIs单条操作和Multi-document APIs批量操作。Document APIs均可以设置可选参数,实现同步、异步,也均可抛出异常,这里以Index API为例,后面的不再简述。
Index API介绍:
/** * 增,插入记录 * 插入操作有四种方式,分同步异步操作,可选参数设置,结果返回IndexResponse,抛出异常 * @throws Exception */ public void index() throws Exception{ //第一种方式: String IndexRequest request = new IndexRequest("posts", "doc", "1"); String jsonString = "{" + "\"user\":\"kimchy\"," + "\"postDate\":\"2013-01-30\"," + "\"message\":\"trying out Elasticsearch\"" + "}"; request.source(jsonString, XContentType.JSON); //第二种方式: Map Map<String, Object> jsonMap = new HashMap<>(); jsonMap.put("user", "kimchy"); jsonMap.put("postDate", new Date()); jsonMap.put("message", "trying out Elasticsearch"); IndexRequest indexRequest = new IndexRequest("posts", "doc", "1").source(jsonMap); //第三种方式: XContentBuilder automatically converted to JSON XContentBuilder builder = XContentFactory.jsonBuilder(); builder.startObject(); { builder.field("user", "kimchy"); builder.timeField("postDate" , new Date()); builder.field("message", "trying out Elasticsearch"); } builder.endObject(); IndexRequest indexRequest1 = new IndexRequest("posts", "doc", "1") .source(builder); //第四种方式: source -> key-pairs IndexRequest indexRequest2 = new IndexRequest("posts", "doc", "1") .source("user", "kimchy", "postDate", new Date(), "message", "trying out Elasticsearch" ); //可选的参数设置 request.routing("routing"); request.parent("parent"); request.timeout(TimeValue.timeValueSeconds(1)); request.timeout("1s"); request.setRefreshPolicy(WriteRequest.RefreshPolicy.WAIT_UNTIL); request.setRefreshPolicy("wait_for"); request.version(2); request.versionType(VersionType.EXTERNAL); request.opType(DocWriteRequest.OpType.CREATE); request.opType("create"); request.setPipeline("pipeline"); //同步执行 IndexResponse indexResponse = client.index(request, RequestOptions.DEFAULT); //异步执行 ActionListener<IndexResponse> listener = new ActionListener<IndexResponse>() { @Override public void onResponse(IndexResponse indexResponse) { } @Override public void onFailure(Exception e) { } }; client.indexAsync(request, RequestOptions.DEFAULT, listener); //Index Response String index = indexResponse.getIndex(); String type = indexResponse.getType(); String id = indexResponse.getId(); long version = indexResponse.getVersion(); //抛出异常 IndexRequest request1 = new IndexRequest("posts", "doc", "1") .source("field", "value") .version(1); try { IndexResponse response = client.index(request, RequestOptions.DEFAULT); } catch (ElasticsearchException e) { if (e.status() == RestStatus.CONFLICT){ } } }
Get API介绍
/** * 根据 id 获取数据 * @throws Exception */ public void get() throws Exception{ GetRequest request = new GetRequest("posts", "doc", "1"); //可选参数设置 request.fetchSourceContext(FetchSourceContext.DO_NOT_FETCH_SOURCE); String[] includes = new String[]{"message", "*Date"}; String[] excludes = Strings.EMPTY_ARRAY; FetchSourceContext fetchSourceContext = new FetchSourceContext(true, includes, excludes); request.fetchSourceContext(fetchSourceContext); //同步执行 GetResponse getResponse = client.get(request, RequestOptions.DEFAULT); //异步执行 listener的写法参照Index的异步执行的listener client.getAsync(request, RequestOptions.DEFAULT, listener); //Get Response 获取信息 //抛出异常 }
Exists API介绍
/** * 是否存在 * @throws Exception */ public void exists() throws Exception{ GetRequest getRequest = new GetRequest("posts", "doc", "1"); getRequest.fetchSourceContext(new FetchSourceContext(false)); getRequest.storedFields("_none_"); //同步执行 boolean exists = client.exists(getRequest, RequestOptions.DEFAULT); //异步执行 listener的写法参照Index的 client.existsAsync(getRequest, RequestOptions.DEFAULT, listener); if (exists){ System.out.println("存在"); }else { System.out.println("不存在"); } }
Delete API介绍
/** * 根据id删除 * @throws Exception */ public void delete() throws Exception{ DeleteRequest request = new DeleteRequest("posts", "doc", "1"); //同步执行 DeleteResponse deleteResponse = client.delete(request, RequestOptions.DEFAULT); //异步执行 listener参照index的 client.deleteAsync(request, RequestOptions.DEFAULT, listener); //Delete Response String index = deleteResponse.getIndex(); // document was not found if (deleteResponse.getResult() == DocWriteResponse.Result.NOT_FOUND) { } //抛出异常 }
Update API介绍
/** * 根据id更新 * @throws Exception */ public void update() throws Exception{ UpdateRequest request = new UpdateRequest("posts", "doc", "1"); Map<String, Object> parameters = Collections.singletonMap("count", 4); //第一种方式:inline script Script inline = new Script(ScriptType.INLINE, "painless", "ctx._source.field += params.count", parameters); request.script(inline); //第二种方式:stored script Script stored = new Script(ScriptType.STORED, null, "increment-field", parameters); request.script(stored); //第三种方式:partial document String String jsonString = "{" + "\"updated\":\"2017-01-01\"," + "\"reason\":\"daily update\"" + "}"; request.doc(jsonString, XContentType.JSON); //第四种方式:partial document Map Map<String, Object> jsonMap = new HashMap<>(); jsonMap.put("updated", new Date()); jsonMap.put("reason", "daily update"); request.doc(jsonMap); //第五种方式:partial document XContentBuilder XContentBuilder builder = XContentFactory.jsonBuilder(); builder.startObject(); { builder.timeField("updated", new Date()); builder.field("reason", "daily update"); } builder.endObject(); request.doc(builder); //第六种方式:partial document Object key-pairs request.doc("updated", new Date(), "reason", "daily update"); //upserts String jsonString1 = "{\"created\":\"2017-01-01\"}"; request.upsert(jsonString1, XContentType.JSON); //同步执行 UpdateResponse updateResponse = client.update(request, RequestOptions.DEFAULT); //异步执行, listener创建参考index的 client.updateAsync(request, RequestOptions.DEFAULT, listener); //update Response GetResult result = updateResponse.getGetResult(); if (result.isExists()) { String sourceAsString = result.sourceAsString(); Map<String, Object> sourceAsMap = result.sourceAsMap(); byte[] sourceAsBytes = result.source(); } else { } //抛出异常 }
Bulk API介绍
/** * 批量处理 * @throws Exception */ public void bulk() throws Exception{ BulkRequest request = new BulkRequest(); //Other request.add(new DeleteRequest("posts", "doc", "3")); request.add(new UpdateRequest("posts", "doc", "2") .doc(XContentType.JSON, "other", "test")); request.add(new IndexRequest("posts", "doc", "4") .source(XContentType.JSON, "field", "baz")); //同步执行 BulkResponse bulkResponses = client.bulk(request, RequestOptions.DEFAULT); //异步执行 ActionListener<BulkResponse> listener = new ActionListener<BulkResponse>() { @Override public void onResponse(BulkResponse bulkResponse) { } @Override public void onFailure(Exception e) { } }; client.bulkAsync(request, RequestOptions.DEFAULT, listener); //Bulk Response 批处理结果 for (BulkItemResponse bulkItemResponse: bulkResponses){ DocWriteResponse itemResponse = bulkItemResponse.getResponse(); if (bulkItemResponse.getOpType() == DocWriteRequest.OpType.INDEX || bulkItemResponse.getOpType() == DocWriteRequest.OpType.CREATE) { IndexResponse indexResponse = (IndexResponse) itemResponse; } else if (bulkItemResponse.getOpType() == DocWriteRequest.OpType.UPDATE) { UpdateResponse updateResponse = (UpdateResponse) itemResponse; } else if (bulkItemResponse.getOpType() == DocWriteRequest.OpType.DELETE) { DeleteResponse deleteResponse = (DeleteResponse) itemResponse; } } for (BulkItemResponse bulkItemResponse : bulkResponses) { if (bulkItemResponse.isFailed()) { BulkItemResponse.Failure failure = bulkItemResponse.getFailure(); } } //Bulk Processor 自定义批处理器 BulkProcessor.Listener listener1 = new BulkProcessor.Listener() { @Override public void beforeBulk(long l, BulkRequest bulkRequest) { } @Override public void afterBulk(long l, BulkRequest bulkRequest, BulkResponse bulkResponse) { } @Override public void afterBulk(long l, BulkRequest bulkRequest, Throwable throwable) { } }; BiConsumer<BulkRequest, ActionListener<BulkResponse>> bulkConsumer = (request1, bulkListener) -> client.bulkAsync(request1, RequestOptions.DEFAULT, bulkListener); BulkProcessor bulkProcessor = BulkProcessor.builder(bulkConsumer, listener1).build(); BiConsumer<BulkRequest, ActionListener<BulkResponse>> bulkConsumer1 = (request2, bulkListener) -> client.bulkAsync(request2, RequestOptions.DEFAULT, bulkListener); BulkProcessor.Builder builder = BulkProcessor.builder(bulkConsumer1, listener1); builder.setBulkActions(500); builder.setBulkSize(new ByteSizeValue(1L, ByteSizeUnit.MB)); builder.setConcurrentRequests(0); builder.setFlushInterval(TimeValue.timeValueSeconds(10L)); builder.setBackoffPolicy(BackoffPolicy .constantBackoff(TimeValue.timeValueSeconds(1L), 3)); //Once the BulkProcessor is created requests can be added to it: IndexRequest one = new IndexRequest("posts", "doc", "1"). source(XContentType.JSON, "title", "In which order are my Elasticsearch queries executed?"); IndexRequest two = new IndexRequest("posts", "doc", "2") .source(XContentType.JSON, "title", "Current status and upcoming changes in Elasticsearch"); IndexRequest three = new IndexRequest("posts", "doc", "3") .source(XContentType.JSON, "title", "The Future of Federated Search in Elasticsearch"); bulkProcessor.add(one); bulkProcessor.add(two); bulkProcessor.add(three); boolean terminated = bulkProcessor.awaitClose(30L, TimeUnit.SECONDS); }
Multi-Get API介绍
/** * 根据id批量获取数据 * @throws Exception */ public void multiGet() throws Exception{ MultiGetRequest request = new MultiGetRequest(); request.add(new MultiGetRequest.Item("index","type","example_id")); request.add(new MultiGetRequest.Item("index", "type", "another_id")); //optional arguments request.add(new MultiGetRequest.Item("index", "type", "example_id") .fetchSourceContext(FetchSourceContext.DO_NOT_FETCH_SOURCE)); //同步执行 MultiGetResponse responses = client.mget(request, RequestOptions.DEFAULT); //异步执行 listener参考Index的 client.mgetAsync(request, RequestOptions.DEFAULT, listener); //Multi Get Response MultiGetItemResponse firstItem = response.getResponses()[0]; GetResponse firstGet = firstItem.getResponse(); if (firstGet.isExists()) { } }
public void search() throws Exception{ //match all query 查询所有数据 SearchRequest searchRequest = new SearchRequest(); SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder(); searchSourceBuilder.query(QueryBuilders.matchAllQuery()); searchRequest.source(searchSourceBuilder); //使用SearchSourceBuilder查询指定字段 SearchSourceBuilder sourceBuilder = new SearchSourceBuilder(); sourceBuilder.query(QueryBuilders.termQuery("user", "kimchy")); sourceBuilder.from(0); sourceBuilder.size(5); sourceBuilder.timeout(new TimeValue(60, TimeUnit.SECONDS)); SearchRequest searchRequest2 = new SearchRequest(); //index 数据库 searchRequest2.indices("posts"); searchRequest2.source(sourceBuilder); //Building queries //One way, QueryBuilder can be created using its constructor 使用QueryBuilder的构造函数 MatchQueryBuilder matchQueryBuilder = new MatchQueryBuilder("user", "kimchy"); matchQueryBuilder.fuzziness(Fuzziness.AUTO); matchQueryBuilder.prefixLength(3); matchQueryBuilder.maxExpansions(10); //Two way, QueryBuilder objects can also be created using the QueryBuilders utility class. 直接使用matchQuery QueryBuilder matchQueryBuilder1 = matchQuery("user", "kimchy") .fuzziness(Fuzziness.AUTO) .prefixLength(3) .maxExpansions(10); searchSourceBuilder.query(matchQueryBuilder1); //Specifying Sorting 指定排序 sourceBuilder.sort(new ScoreSortBuilder().order(SortOrder.DESC)); sourceBuilder.sort(new FieldSortBuilder("_uid").order(SortOrder.ASC)); //Source filtering, turn off _source retrieval completely sourceBuilder.fetchSource(false); //an array of one or more wildcard patterns to control which fields get included or excluded in a more fine grained way String[] includeFields = new String[] {"title", "user", "innerObject.*"}; String[] excludeFields = new String[] {"_type"}; sourceBuilder.fetchSource(includeFields, excludeFields); //Requesting Aggregations SearchSourceBuilder searchSourceBuilder2 = new SearchSourceBuilder(); TermsAggregationBuilder aggregation = AggregationBuilders.terms("by_company") .field("company.keyword"); aggregation.subAggregation(AggregationBuilders.avg("average_age") .field("age")); searchSourceBuilder2.aggregation(aggregation); //Requesting Suggestions SearchSourceBuilder searchSourceBuilder3 = new SearchSourceBuilder(); SuggestionBuilder termSuggestionBuilder = SuggestBuilders.termSuggestion("user").text("kmichy"); SuggestBuilder suggestBuilder = new SuggestBuilder(); suggestBuilder.addSuggestion("suggest_user", termSuggestionBuilder); searchSourceBuilder3.suggest(suggestBuilder); //同步执行 SearchResponse searchResponse = client.search(searchRequest, RequestOptions.DEFAULT); //异步执行 listener参考index的 client.searchAsync(searchRequest, RequestOptions.DEFAULT, listener); //SearchResponse RestStatus status = searchResponse.status(); for (ShardSearchFailure failure : searchResponse.getShardFailures()) { // failures should be handled here } //Retrieving SearchHits 获取结果数据 SearchHits hits = searchResponse.getHits(); long totalHits = hits.getTotalHits(); float maxScore = hits.getMaxScore(); SearchHit[] searchHits = hits.getHits(); for (SearchHit hit : searchHits) { // do something with the SearchHit String index = hit.getIndex(); String type = hit.getType(); String id = hit.getId(); float score = hit.getScore(); String sourceAsString = hit.getSourceAsString(); Map<String, Object> sourceAsMap = hit.getSourceAsMap(); String documentTitle = (String) sourceAsMap.get("title"); List<Object> users = (List<Object>) sourceAsMap.get("user"); Map<String, Object> innerObject = (Map<String, Object>) sourceAsMap.get("innerObject"); } //Retrieving Aggregations Aggregations aggregations = searchResponse.getAggregations(); Terms byCompanyAggregation = aggregations.get("by_company"); Terms.Bucket elasticBucket = byCompanyAggregation.getBucketByKey("Elastic"); Avg averageAge = elasticBucket.getAggregations().get("average_age"); double avg = averageAge.getValue(); Range range = aggregations.get("by_company"); Map<String, Aggregation> aggregationMap = aggregations.getAsMap(); Terms companyAggregation = (Terms) aggregationMap.get("by_company"); List<Aggregation> aggregationList = aggregations.asList(); for (Aggregation agg : aggregations) { String type = agg.getType(); if (type.equals(TermsAggregationBuilder.NAME)) { Terms.Bucket elasticBucket1 = ((Terms) agg).getBucketByKey("Elastic"); long numberOfDocs = elasticBucket1.getDocCount(); } } //Retrieving Suggestions Suggest suggest = searchResponse.getSuggest(); TermSuggestion termSuggestion = suggest.getSuggestion("suggest_user"); for (TermSuggestion.Entry entry : termSuggestion.getEntries()) { for (TermSuggestion.Entry.Option option : entry) { String suggestText = option.getText().string(); } } }
Multi-search APIs介绍:
public void multiSearch() throws Exception{ MultiSearchRequest request = new MultiSearchRequest(); SearchRequest firstSearchRequest = new SearchRequest(); SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder(); searchSourceBuilder.query(QueryBuilders.matchQuery("user", "kimchy")); firstSearchRequest.source(searchSourceBuilder); request.add(firstSearchRequest); SearchRequest secondSearchRequest = new SearchRequest(); searchSourceBuilder = new SearchSourceBuilder(); searchSourceBuilder.query(QueryBuilders.matchQuery("user", "luca")); secondSearchRequest.source(searchSourceBuilder); request.add(secondSearchRequest); //同步执行 MultiSearchResponse response = client.msearch(request, RequestOptions.DEFAULT); //同步执行 listener参考index的 client.msearchAsync(request, RequestOptions.DEFAULT, listener); //MultiSearchResponse MultiSearchResponse.Item firstResponse = response.getResponses()[0]; SearchResponse searchResponse = firstResponse.getResponse(); MultiSearchResponse.Item secondResponse = response.getResponses()[1]; searchResponse = secondResponse.getResponse(); }
SearchTemplate APIs介绍:
/** * 查询模板 * @throws Exception */ public void searchTemplate() throws Exception{ SearchTemplateRequest request = new SearchTemplateRequest(); request.setRequest(new SearchRequest("posts")); //Inline Templates request.setScriptType(ScriptType.INLINE); //instead of providing an inline script request.setScriptType(ScriptType.STORED); request.setScript( "{" + " \"query\": { \"match\": { \"{{ field }}\": \"{{ value }}\" } }," + " \"size\": \"{{ size }}\"" + "}"); Map<String, Object> scriptParams = new HashMap<>(); scriptParams.put("field", "title"); scriptParams.put("value", "elasticsearch"); scriptParams.put("size", 5); request.setScriptParams(scriptParams); //同步执行 SearchTemplateResponse response = client.searchTemplate(request, RequestOptions.DEFAULT); //异步执行 listener参考Index的 client.searchTemplateAsync(request, RequestOptions.DEFAULT, listener); //SearchTemplate Response SearchResponse searchResponse = response.getResponse(); BytesReference source = response.getSource(); }
Multi-SearchTemplate APIs介绍:
/** * 多个查询模板执行 * @throws Exception */ public void MultiSearchTemplate() throws Exception{ String[] searchTerms = {"elasticsearch", "logstash", "kibana"}; MultiSearchTemplateRequest multiRequest = new MultiSearchTemplateRequest(); for (String searchTerm: searchTerms) { SearchTemplateRequest request = new SearchTemplateRequest(); request.setRequest(new SearchRequest("posts")); request.setScriptType(ScriptType.INLINE); request.setScript( "{" + " \"query\": { \"match\": { \"{{field}}\": \"{{value}}\" }}," + " \"size\": \"{{size}}\"" + "}" ); Map<String, Object> scriptParams = new HashMap<>(); scriptParams.put("field", "title"); scriptParams.put("value", searchTerm); scriptParams.put("size", 5); request.setScriptParams(scriptParams); multiRequest.add(request); } //同步执行 MultiSearchTemplateResponse multiResponse = client.msearchTemplate(multiRequest, RequestOptions.DEFAULT); //异步执行 ActionListener<MultiSearchTemplateResponse> listener = new ActionListener<MultiSearchTemplateResponse>() { @Override public void onResponse(MultiSearchTemplateResponse response) { } @Override public void onFailure(Exception e) { } }; client.msearchTemplateAsync(multiRequest, RequestOptions.DEFAULT, listener); //MultiSearchTemplateResponse for (MultiSearchTemplateResponse.Item item : multiResponse.getResponses()) { if (item.isFailure()) { String error = item.getFailureMessage(); } else { SearchTemplateResponse searchTemplateResponse = item.getResponse(); SearchResponse searchResponse = searchTemplateResponse.getResponse(); searchResponse.getHits(); } } }
其余APIs可以参考:https://www.elastic.co/guide/en/elasticsearch/client/java- rest/current/java-rest-high.html
Jest是第三方工具,是ElasticSearch的Java HTTP Rest客户端。Jest填补了ElasticSearch缺少Http Rest接口客户端的空白。
Jest的API为:
Jest的具体用法参考:https://blog.csdn.net/u010466329/article/details/75020956/
Jest的代码github地址:https://github.com/searchbox-io/Jest
可参考https://blog.csdn.net/qq_33314107/article/details/80725994
NoNodeAvailableException报错,主要是外网IP没有配置
在elasticSearch.yml上配置transport.host和transport.tcp.port即可
transport.host: localhost transport.tcp.port: 9300
localhost可以是具体的IP地址
个人编写的TransportClient和RestClient的github Demo:
https://github.com/SwordfallYeung/ElasticSearchDemo
参考资料:
https://www.elastic.co/guide/en/elasticsearch/client/index.html
https://www.elastic.co/guide/en/elasticsearch/client/java-rest/6.4/java-rest- overview.html
https://blog.csdn.net/qq_33314107/article/details/80725913
原文链接:https://www.cnblogs.com/swordfall/p/9981883.html