ElasticSearch的java操作

本人使用的是ElasticSearch 6.1.3版本，使用springboot来创建项目。

添加maven中pom.xml文件

            org.elasticsearch.client
            transport
            
            ${elasticserach.version}
        

        
            org.apache.logging.log4j
            log4j-core
            2.9.1
        

        
            org.elasticsearch
            elasticsearch
            
            ${elasticserach.version}
        

resources下创建log4j配置文件log4j2.properties：

appender.console.type = Console
appender.console.name = console
appender.console.layout.type = PatternLayout

rootLogger.level = info
rootLogger.appenderRef.console.ref = console

注:可以参考官网进行配置： https://www.elastic.co/guide/en/elasticsearch/client/java-api/current/_log4j_2_logger.html

首先，创建elasticsearch 6.1.3配置相关java类：

@Configuration
public class Myconfig {

    @Bean
    public TransportClient client() throws UnknownHostException {

        TransportAddress node =  new TransportAddress(
                InetAddress.getByName("localhost"), 9300);

        Settings settings = Settings.builder()
                .put("cluster.name", "jgy").build();
        TransportClient client = new PreBuiltTransportClient(settings);

        client.addTransportAddress(node);

        return client;
    }
}

1、创建索引文档查询（GET请求）

 @GetMapping("/get/book/man")
    @ResponseBody
    public ResponseEntity get(@RequestParam(name = "id",defaultValue = "") String id){
        if(id.isEmpty()){
            return new ResponseEntity(HttpStatus.NOT_FOUND);
        }
        GetResponse result = this.client.prepareGet("book","man",id).get();

        if(!result.isExists()) {
            return new ResponseEntity(HttpStatus.NOT_FOUND);
        }

        return new ResponseEntity(result.getSource(),HttpStatus.OK);
    }

2、索引添加文档（POST请求）

@PostMapping("/add/book/man")
    @ResponseBody
    public ResponseEntity add(@RequestParam(name = "title") String title,
                              @RequestParam(name = "author") String author,
                              @RequestParam(name = "word_count") String 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","man")
                    .setSource(content)
                    .get();

            return new ResponseEntity(result.getId(),HttpStatus.OK);

        } catch (IOException e) {
            e.printStackTrace();
            return new ResponseEntity(HttpStatus.INTERNAL_SERVER_ERROR);
        }
    }

3、索引删除文档（DELETE请求）

@DeleteMapping("/delete/book/man")
    @ResponseBody
    public ResponseEntity delete(@RequestParam(name = "id") String id){
        DeleteResponse result = this.client.prepareDelete("book","man",id).get();
        return new ResponseEntity(result.getResult().toString(),HttpStatus.OK);
    }

4、索引文档查询（POST请求）

@PostMapping("/query/book/man")
    @ResponseBody
    public ResponseEntity query(@RequestParam(name = "title",required = false) String title,
                                @RequestParam(name = "author",required = false) String author,
                                @RequestParam(name = "gt_word_count",defaultValue = "0") String 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 builder = this.client.prepareSearch("book")
                .setTypes("man")
                .setSearchType(SearchType.DFS_QUERY_THEN_FETCH)
                .setQuery(boolQueryBuilder)
                .setFrom(0)
                .setSize(10);
        System.out.println(builder);

        SearchResponse response = builder.get();
        List> result = new ArrayList>();
        for(SearchHit hit : response.getHits()){
            result.add(hit.getSourceAsMap());
        }
        return new ResponseEntity(result,HttpStatus.OK);
    }

5、索引文档修改（PUT请求）

@PutMapping("/update/book/man")
    @ResponseBody
    public ResponseEntity update(@RequestParam(name = "id") String id,
                                 @RequestParam(name = "title",required = false) String title,
                              @RequestParam(name = "author",required = false) String author){
        UpdateRequest update = new UpdateRequest("book","man",id);
        try {
            XContentBuilder builder = XContentFactory.jsonBuilder().startObject();
            if(title != null){
                builder.field("title",title);
            }
            if(author != null){
                builder.field("author",author);
            }
            builder.endObject();

            update.doc(builder);
        } catch (IOException e) {
            e.printStackTrace();
            return new ResponseEntity(HttpStatus.INTERNAL_SERVER_ERROR);
        }

        try {
            UpdateResponse result = this.client.update(update).get();
            return new ResponseEntity(result.getResult().toString(),HttpStatus.OK);
        } catch (Exception e) {
            e.printStackTrace();
            return new ResponseEntity(HttpStatus.INTERNAL_SERVER_ERROR);
        }

    }

后端操作elasticSearch基本方法完成，完整代码下载已放在github上。