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RestHighLevelClient-简单使用

发布于 2020-10-15 阅读 310
  • Elasticsearch
原创

一、创建连接
!ps:RestHighLevelClient是官方指定的连接API。另外一个是TransportClient,但是TransportClient这个是已经废弃不用的,所以会在ES8.0之后完全移除,也就是说8.0之后就无法使用了
RestHighLevelClient的maven依赖为(使用前必须添加相应依赖)

<dependency>
    <groupId>org.elasticsearch.client</groupId>
    <artifactId>elasticsearch-rest-high-level-client</artifactId>
    <version>7.9.2</version>
</dependency>
        <dependency>
            <groupId>org.elasticsearch</groupId>
            <artifactId>elasticsearch</artifactId>
            <version>7.9.2</version>
 </dependency>

注意:以上的依赖版本可以根据你使用的ES的版本来定,向下兼容,但是无法向上兼容

创建连接

    static String ip = "localhost";
    static int port = 9200;
    static RestHighLevelClient restHighLevelClient = null;
    static TransportClient client = null;
    
    static  RestHighLevelClient initClient(){
        //这里的RestClient.builder(new HttpHost(ip,port),.........)支持多个httphost连接,也就是支持连接多个elasticsearch
        restHighLevelClient = new RestHighLevelClient(RestClient.builder(new HttpHost(ip,port)));
    }

    static Connection getInstance(){
        synchronized (ElasticSearchFactory.class){
            if (restHighLevelClient == null){
             restHighLevelClient  =   initClient();
            }
        }
        return connection;
    }

RestHighLevelClient 支持对ES的增删改查、批量操作
新增:

 public static  void creatIndex(String json){
        IndexRequest indexRequest = new IndexRequest("test_index","String");
        indexRequest.source(json, XContentType.JSON);//这里的json为存入ES的文档内容
        try {
            restHighLevelClient.index(indexRequest, RequestOptions.DEFAULT);//RequestOptions在新方法中必须选择
        } catch (IOException e) {
            e.printStackTrace();
        }
    }

查询:
查询支持直接查询和条件查询,由于ES是根据索引、文档类型和文档ID确定一个唯一的文档的,所以直接查询必须要有索引和类型还有ID

    public static Map<String, Object> getIndex(String indexName,String type,String id){
        GetRequest request = new GetRequest(indexName);
        //SearchRequest searchRequest = new SearchRequest(indexName);
        try {
            GetResponse search = restHighLevelClient.get(request, RequestOptions.DEFAULT);
            Map<String, Object> source = search.getSource();
            return source;
        } catch (IOException e) {
            e.printStackTrace();
        }
        return new HashMap<>();
    }

条件查询:
条件查询支持所有的ES的查询规则:使用ES查询语句须知

    public static Map<String, Object> searchIndex(String indexName){
        //GetRequest request = new GetRequest(indexName);
        //SearchRequest searchRequest = new SearchRequest(indexName);
        QueryBuilder queryBuilders = QueryBuilders.boolQuery().filter(
                QueryBuilders.termQuery("queryKey","吱吱吱ZZZ")
        );
        SearchRequest searchRequest = new SearchRequest();
        //searchRequest.indices("posts");这里可以设计GEET或者POST
        SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();
        // searchSourceBuilder.sort(new ScoreSortBuilder().order(SortOrder.DESC));支持按评分排序,评分是指分词之后取得的文档相似度评分
        searchSourceBuilder.query(QueryBuilders.boolQuery().filter(QueryBuilders.termQuery("queryKey.keyword","吱吱吱ZZZ")));
        searchRequest.source(searchSourceBuilder);
        try {
            SearchResponse search = restHighLevelClient.search(searchRequest, RequestOptions.DEFAULT);
            SearchHit[] hits = search.getHits().getHits();
            for (SearchHit searchHit : hits){
                Map<String, Object> sourceAsMap = searchHit.getSourceAsMap();
                System.out.println("source : {}" + sourceAsMap.toString());
            }
        } catch (IOException e) {
            e.printStackTrace();
        }
        return new HashMap<>();
    }

修改:
ps:ES中其实并不存在真正意义上的修改,其实是进行的文档覆盖,先将原文档查出来标记删除,然后在原文档的基础上添加上修改形成一份新文档,存入ES中,之后再将打上删除标记的文档删除。

    public static void updateIndex(String indexName, String type, String id, String json){
        UpdateRequest request = new UpdateRequest(indexName, type, id);

        request.doc(json, XContentType.JSON);
        try {
            UpdateResponse updateResponse = restHighLevelClient.update(request,RequestOptions.DEFAULT);
        } catch (IOException e) {
            e.printStackTrace();
        }
    }

删除:


    public static void deleteIndex(String indexName, String type, String id){
        DeleteRequest request = new DeleteRequest(indexName,type,id);
        try {
            restHighLevelClient.delete(request,RequestOptions.DEFAULT);
        } catch (IOException e) {
            e.printStackTrace();
        }
    }

bulk操作,bulk操作相当于批处理,能够在一次操作中处理一批数据,同时能够同时处理,增删改操作

    public static void bulkIndex(){
            BulkRequest request = new BulkRequest();
            String jsonString="{\n" +
                    "\t\"databaseId\": \"謝謝謝謝謝謝\",\n" +
                    "\t\"databaseType\": \"嘻嘻嘻\",\n" +
                    "\t\"queryKey\":\"吱吱吱ZZZ\"\n" +
                    "}\n";
        UUID uuid = UUID.randomUUID();
        request.add(new IndexRequest("test_index", "String", uuid.toString())
                    .source(jsonString,XContentType.JSON));
            String updateJson="{\n" +
                    "  \"queryKey\":\"吱吱吱ZZZ\"\n" +
                    "}";
            request.add(new UpdateRequest("test_index", "String", uuid.toString())
                    .doc(updateJson,XContentType.JSON));
            request.add(new DeleteRequest("test_index", "String", uuid.toString()));

        try {
            restHighLevelClient.bulk(request, RequestOptions.DEFAULT);
        } catch (IOException e) {
            e.printStackTrace();
        }
    }

执行ES-DSL


String json = "{\"bool\":{\"filter\":[{\"term\":{\"queryKey.keyword\":\"吱吱吱ZZZ\"}}]}}";
String index= "test_index";
    public static void wapQuerty(String json,String index){
        WrapperQueryBuilder queryBuilder = new WrapperQueryBuilder(json);
        SearchRequest searchRequest = new SearchRequest();
        SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();
        searchSourceBuilder.query(queryBuilder);
        searchRequest.source(searchSourceBuilder).indices(index);
        try {
            SearchResponse search = restHighLevelClient.search(searchRequest, RequestOptions.DEFAULT);
            SearchHit[] hits = search.getHits().getHits();
            for (SearchHit searchHit : hits){
                Map<String, Object> sourceAsMap = searchHit.getSourceAsMap();
                String id = searchHit.getId();
                System.out.println("id:"+id);
            }
        } catch (IOException e) {
            e.printStackTrace();
        }
    }

评论区

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