配置准备
在build.gradle文件中添加如下依赖：
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compile "org.elasticsearch.client:transport:5.5.2"compile "org.elasticsearch:elasticsearch:5.5.2"//es 5.x的内部使用的 apache log4日志compile "org.apache.logging.log4j:log4j-core:2.7"compile "org.apache.logging.log4j:log4j-api:2.7" |
这里spring boot使用的是1.5.4版，前些天spring boot 2正式版已经发布，spring boot 2新特性中有一条是支持kotlin，spring boot 2基于spring 5，spring 5也支持了koltin，所以spring也开始支持函数式编程。
关于版本兼容
配置访问Elasticsearch的客户端，这里都使用原生es JavaAPI。
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@Configurationpublic class ElasticSearchConfig { @Bean(name = "client") public TransportClient getClient() { InetSocketTransportAddress node = null; try { node = new InetSocketTransportAddress(InetAddress.getByName("192.168.124.128"), 9300); } catch (UnknownHostException e) { e.printStackTrace(); } Settings settings = Settings.builder().put("cluster.name", "my-es").build(); TransportClient client = new PreBuiltTransportClient(settings); client.addTransportAddress(node); return client; }} |
SocketTransport端口可以使用http://ip:9200/_nodes方式查看，这里默认使用的是9300端口。
CRUD操作
新建一个控制器ElasticSearchController，使用原生的es JavaAPI。
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@RestControllerpublic class ElasticSearchController { @Autowired TransportClient client;} |
在控制器中添加增删查改方法
增加操作
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@PostMapping("add/book/novel") public ResponseEntity add( @RequestParam(name = "title") String title, @RequestParam(name = "authro") String author, @RequestParam(name = "word_count") int wordCount, @RequestParam(name = "publish_date") @DateTimeFormat(pattern = "yyyy-MM-dd HH:mm:ss")Date publishDate ) { try { XContentBuilder content = XContentFactory.jsonBuilder().startObject() .field("title", title) .field("author", author) .field("word_count", wordCount) .field("publish_date", publishDate.getTime()) .endObject(); IndexResponse result = this.client.prepareIndex("book", "novel").setSource(content).get(); return new ResponseEntity(result.getId(), HttpStatus.OK); } catch (IOException e) { e.printStackTrace(); return new ResponseEntity(HttpStatus.INTERNAL_SERVER_ERROR); } } |
删除操作
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@DeleteMapping("/delete/book/novel") public ResponseEntity delete(@RequestParam(name = "id") String id) { DeleteResponse result = client.prepareDelete("book", "novel", id).get(); return new ResponseEntity(result.getResult().toString(), HttpStatus.OK); } |
查找操作
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@GetMapping("/get/book/novel") public ResponseEntity get(@RequestParam(name = "id", defaultValue="") String id) { if (id.isEmpty()) { return new ResponseEntity(HttpStatus.NOT_FOUND); } GetResponse result = this.client.prepareGet("book", "novel", id).get(); if (!result.isExists()) { return new ResponseEntity(HttpStatus.NOT_FOUND); } return new ResponseEntity(result.getSource(), HttpStatus.OK); } |
更新操作
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@PutMapping("/put/book/novel") public ResponseEntity update(@RequestParam(name = "id") String id, @RequestParam(name = "title", required = false) String title, @RequestParam(name = "author", required = false) String author ) { try { XContentBuilder builder = XContentFactory.jsonBuilder().startObject(); if (title!= null) { builder.field("title", title); } if (author != null) { builder.field("author", author); } builder.endObject(); UpdateRequest updateRequest = new UpdateRequest("book", "novel", id); updateRequest.doc(builder); UpdateResponse result = client.update(updateRequest).get(); return new ResponseEntity(result.getResult().toString(), HttpStatus.OK); } catch (Exception e) { e.printStackTrace(); return new ResponseEntity(HttpStatus.INTERNAL_SERVER_ERROR); } } |
复合查找
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@GetMapping("/query/book/novel") public ResponseEntity query(@RequestParam(name = "author", required = false) String author, @RequestParam(name = "title", required = false) String title, @RequestParam(name = "gt_word_count", defaultValue = "0") int gtWordCount, @RequestParam(name = "lt_word_count", required = false) Integer ltWordCount) { BoolQueryBuilder boolQueryBuilder = QueryBuilders.boolQuery(); if (author != null) { boolQueryBuilder.must(QueryBuilders.matchQuery("author",author)); } if (title != null) { boolQueryBuilder.must(QueryBuilders.matchQuery("title", title)); } RangeQueryBuilder rangeQueryBuilder = QueryBuilders.rangeQuery("word_count").from(gtWordCount); if (ltWordCount != null && ltWordCount > 0) { rangeQueryBuilder.to(ltWordCount); } boolQueryBuilder.filter(rangeQueryBuilder); SearchRequestBuilder searchRequestBuilder = this.client.prepareSearch("book") .setTypes("novel") .setSearchType(SearchType.DFS_QUERY_THEN_FETCH) .setQuery(boolQueryBuilder) .setFrom(0) .setSize(10); System.out.println(searchRequestBuilder); //调试用 SearchResponse response = searchRequestBuilder.get(); List<Map<String, Object>> result = new ArrayList<>(); for (SearchHit hit : response.getHits()) { result.add(hit.getSource()); } return new ResponseEntity(result, HttpStatus.OK); } |
上面的代码组织的复合查询类似下面的Query DSL：
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{ "query":{ "bool":{ "must":[ {"match":{"author":"张三"}}, {"match":{"title":"Elasticsearch"}} ], "filter":[ {"range": {"word_count":{ "gt":"0", "lt":"3000" } } } ] } }} |
总结
以上所述是小编给大家介绍的SpringBoot整合Elasticsearch并实现CRUD操作，希望对大家有所帮助，如果大家有任何疑问请给我留言，小编会及时回复大家的。在此也非常感谢大家对服务器之家网站的支持！
原文链接：http://blog.csdn.net/zxc123e/article/details/79498113
