Elasticsearch实现增删改查

调用elasticsearch通常使用restful风格请求，这里记录一些常用的Java API和Postman Url

Java API调用Es

1. 查询总文档数

@Testvoid getAllCount() {
//        RestHighLevelClient client=new RestHighLevelClient(RestClient.builder(new HttpHost("192.168.32.3",9200,"http")));RestHighLevelClient client=new RestHighLevelClient(RestClient.builder(new HttpHost("192.168.32.1",9200,"http")));SearchRequest searchRequest=new SearchRequest();SearchSourceBuilder searchSourceBuilder=new SearchSourceBuilder();searchSourceBuilder.query(QueryBuilders.matchAllQuery());searchRequest.indices("_all");searchRequest.source(searchSourceBuilder);try {SearchResponse searchResponse=client.search(searchRequest, RequestOptions.DEFAULT);long count=searchResponse.getHits().getTotalHits().value;System.out.println("192.168.32.3的文档总数量为： "+count);} catch (IOException e) {e.printStackTrace();}}

2.批量插入100w数据

    @Testpublic void setESBatchData() throws IOException {RestHighLevelClient client=new RestHighLevelClient(RestClient.builder(new HttpHost("192.168.32.2",9200,"http")));BulkRequest request=new BulkRequest();request.timeout("10m");long startTime = System.currentTimeMillis();for (int i = 1; i < 1000000; i++) {
//            Map<String, String> jsonMap = new HashMap<>();String name="test"+i;int age=i;
//            jsonMap.put("name", "test"+i);
//            jsonMap.put("age", String.valueOf(i));
//            String jsonString = formatAsJSON(jsonMap);IndexRequest indexRequest=new IndexRequest("my_index").source("name",name,"age",age);request.add(indexRequest);if(i%10000==0){BulkResponse response=client.bulk(request,RequestOptions.DEFAULT);request=new BulkRequest();if (response.hasFailures()) {// 处理失败的文档System.out.println("第"+i/10000+"次批量插入失败");} else {System.out.println("第"+i/10000+"次批量插入成功，已插入"+i/10000+"w条");// 所有文档都已成功插入}}}long endTime = System.currentTimeMillis();double timeDifference = (endTime - startTime)/1000;System.out.println("两次系统时间差：" + timeDifference + " 秒");
//        RequestOptions.Builder builder = RequestOptions.DEFAULT.toBuilder();
//        builder.setHttpAsyncResponseConsumerFactory(new HttpAsyncResponseConsumerFactory.HeapBufferedResponseConsumerFactory(500 * 1024 * 1024));
//        RequestConfig config=RequestConfig.custom().setConnectTimeout(60000).setSocketTimeout(600000).build();
//        RequestOptions options=builder.setRequestConfig(config).build();}

3.关闭指定索引

    @Testpublic void closeESIndex() throws IOException {//创建es客户端，建立连接RestHighLevelClient client=new RestHighLevelClient(RestClient.builder(new HttpHost("192.168.32.1",9200,"http")));
//        String indexName=".ds-ilm-history-5-2023.06.29-000001";String indexName=".ds-.logs-deprecation.elasticsearch-default-2023.06.29-000001";
//        String indexName="my_index";//根据操作类型创建请求CloseIndexRequest request=new CloseIndexRequest(indexName);//执行请求,返回结果AcknowledgedResponse response=client.indices().close(request,RequestOptions.DEFAULT);if (response.isAcknowledged()){System.out.println("索引关闭成功");}else {System.out.println("索引关闭失败");}//释放连接资源client.close();}

4.添加文档

@Testpublic void addES() throws IOException {RestHighLevelClient client=new RestHighLevelClient(RestClient.builder(new HttpHost("192.168.32.3",9200,"http")));String jsonDocument = "{ \"name\": \"test14\", \"age\": \"140\" }";IndexRequest request=new IndexRequest("my_index").id("14").source(jsonDocument, XContentType.JSON);IndexResponse response=client.index(request,RequestOptions.DEFAULT);if(response.getResult()== IndexResponse.Result.CREATED){System.out.println("文档创建成功");}else if(response.getResult()==IndexResponse.Result.UPDATED){System.out.println("文档更新成功");}client.close();}

5.修改文档

 @Testpublic void updateES() throws IOException {RestHighLevelClient client=new RestHighLevelClient(RestClient.builder(new HttpHost("192.168.32.3",9200,"http")));UpdateRequest request=new UpdateRequest("my_index","_doc","14");Map<String,String> updateInfo=new HashMap<>();request.doc("name","test14_update");UpdateResponse response=client.update(request,RequestOptions.DEFAULT);if(response.getResult()== DocWriteResponse.Result.UPDATED){System.out.println("修改文档成功");}client.close();}

6.删除文档

 @Testpublic void deleteES() throws IOException {RestHighLevelClient client=new RestHighLevelClient(RestClient.builder(new HttpHost("192.168.32.3",9200,"http")));DeleteRequest request=new DeleteRequest("my_index","14");DeleteResponse response=client.delete(request,RequestOptions.DEFAULT);if(response.getResult()== DocWriteResponse.Result.DELETED){System.out.println("删除文档成功");}}

Postman请求(DSL)

1.查询全量文档

POST http://192.168.32.2:9201/_search?pretty
{"size": 1000,"query": {"match_all": {}}
}

2.删除全部文档(保留索引)

POST http://192.168.32.2:9201/_all/_delete_by_query
{"query": {"match_all": {}}
}

3.新增文档

PUT http://192.168.32.2:9201/my_index/_doc/1
{"name": "test1","age": 1
}

4.查看x-pack许可证信息

GET http://192.168.32.2:9201/_xpack?pretty

5.查看集群节点

GET http://192.168.32.2:9200/_cat/nodes?v

6.查看节点信息

GET http://192.168.32.1:9201

7.查询文档总数

GET http://192.168.32.2:9201/_search?pretty
{"size": 0,"aggs": {"total_documents": {"value_count": {"field": "_id"}}}
}

8.创建索引

PUT http://192.168.32.2:9200/test_index
{"mappings": {"properties": {"name": {"type": "text"},"age": {"type": "long"}}}
}

9.删除索引(包括数据)

DELETE http://192.168.32.2:9201/my_index

10.查询集群索引

GET http://192.168.32.2:9201/_cat/indices?v

11.查看指定索引结构

GET http://192.168.32.2:9200/my_index/_mapping

12.开启指定索引

POST http://192.168.32.2:9201/my_index/_open

13.关闭指定索引

POST http://192.168.32.2:9201/my_index/_close

14.定义远程集群

POST http://192.168.32.2:9201/my_index/_close

15.查看远程集群

GET http://192.168.32.2:9201/_remote/info

16.删除远程集群

PUT http://192.168.32.2:9201/_cluster/settings
{"persistent": {"cluster": {"remote": {"es-source": {"seeds": null }}}}
}

17.开启CCR(指定索引)

PUT http://192.168.32.2:9201/my_index/_ccr/follow
{"remote_cluster": "source","leader_index": "my_index"
}

18.暂停CCR

POST http://192.168.32.2:9201/my_index/_ccr/pause_follow

19.删除CCR

POST http://192.168.32.2:9201/my_index/_ccr/unfollow

删除索引也会自动删除CCR

20.查看CCR信息

POST http://192.168.32.2:9201/my_index/_ccr/info

21.自动跟随增量同步索引(auto follow)

PUT http://192.168.32.2:9201/_ccr/auto_follow/beats
{"remote_cluster": "source","leader_index_patterns": ["*"]
}