Elasticsearch教程(4) High Level REST Client API 查询 聚合 分组
ES High Level REST Client API 查詢 聚合
- 1 準(zhǔn)備數(shù)據(jù)
- 1.1 插入測(cè)試數(shù)據(jù)
- 2 Maven引入ES
- 3 創(chuàng)建Client
- 4 查詢API
- 4.1 根據(jù)id查詢單條數(shù)據(jù)
- 4.2 根據(jù)多個(gè)id查詢
- 4.3 根據(jù)條件分頁查詢
- 4.4 count
- 4.5 max
- 5 terms聚合
- 5.1 根據(jù)1個(gè)字段group by
- 5.2 根據(jù)多個(gè)字段group by
關(guān)于聚合的博客:
Elasticsearch教程(3) ES聚合查詢DSL
Elasticsearch教程(4) High Level REST Client API 查詢 聚合 分組
Elasticsearch教程(5) 指標(biāo)聚合 SQL DSL JavaAPI
Elasticsearch教程(6) 桶聚合Query DSL-Terms Aggregation
Elasticsearch教程(10) ES term terms prefix 搜索 聚合查詢 詳細(xì)總結(jié)
Elasticsearch教程(11) elasticsearch 桶聚合 Query DSL
Elasticsearch教程(32) ES 聚合查詢后過濾 Distinct Group By Having功能
1 準(zhǔn)備數(shù)據(jù)
首先啟動(dòng)好的ES6.8服務(wù)和Kibana服務(wù)
1.1 插入測(cè)試數(shù)據(jù)
假設(shè)有個(gè)部門組織的場(chǎng)景,部門有上級(jí)部門或者下級(jí)部門,像一顆樹那樣
| code | 部門編號(hào) |
| name | 部門名稱 |
| level | 層級(jí) |
| path | 從祖先到自己的id路徑 |
| parentId | 父部門Id (這里沒有id字段,因?yàn)閑s自帶_id這個(gè)字段了) |
| status | 狀態(tài) |
數(shù)據(jù)結(jié)果如下:
2 Maven引入ES
新建一個(gè)空的Maven結(jié)構(gòu)項(xiàng)目,在pom.xml里添加如下
<dependency><groupId>org.elasticsearch.client</groupId><artifactId>elasticsearch-rest-high-level-client</artifactId><version>6.8.4</version> </dependency>3 創(chuàng)建Client
public class EsRestUtils {private static RestHighLevelClient client;private static final String type = "_doc";public static RestHighLevelClient getClient() {if (client == null) {client = new RestHighLevelClient(RestClient.builder(new HttpHost("192.168.8.201", 9200, "http")));}return client;} }4 查詢API
4.1 根據(jù)id查詢單條數(shù)據(jù)
用SQL描述就是
select * from dept where id = '1' protected static Map<String, Object> getById(String index, String id) throws IOException {getClient();GetRequest getRequest = new GetRequest(index, type, id);GetResponse getResponse = client.get(getRequest, RequestOptions.DEFAULT);if (getResponse.isExists()){return getResponse.getSourceAsMap();}return null; }4.2 根據(jù)多個(gè)id查詢
用SQL描述就是
select * from dept where id in ("1", "2", "3") protected static List<Map<String, Object>> getByIds(String index, List<String> ids) throws IOException {getClient();List<Map<String, Object>> results = new ArrayList<>();MultiGetRequest request = new MultiGetRequest();ids.stream().forEach(id -> {request.add(new MultiGetRequest.Item(index, type, id));});MultiGetResponse response = client.mget(request, RequestOptions.DEFAULT);GetResponse getResponse;for (int i = 0; i < response.getResponses().length; i++) {getResponse = response.getResponses()[i].getResponse();if (getResponse.isExists()) {results.add(getResponse.getSourceAsMap());}}return results; }4.3 根據(jù)條件分頁查詢
用SQL描述就是
select * from dept where id in ("1", "2", "3") limt 2,10 protected static List<Map<String, Object>> getByWhere(String index, QueryBuilder queryBuilder, int pageNo, int pageSize) throws IOException {getClient();List<Map<String, Object>> results = new ArrayList<>();SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();searchSourceBuilder.query(queryBuilder);searchSourceBuilder.from(pageNo);searchSourceBuilder.size(pageSize);SearchRequest searchRequest = new SearchRequest(index).types(type);searchRequest.source(searchSourceBuilder);SearchResponse searchResponse = client.search(searchRequest, RequestOptions.DEFAULT);SearchHits hits = searchResponse.getHits();SearchHit[] searchHits = hits.getHits();for (SearchHit hit : searchHits) {results.add(hit.getSourceAsMap());}return results; }4.4 count
用SQL描述就是
select count(1) from dept where name like '部門%' public static long count(QueryBuilder queryBuilder, String... indexs) throws IOException {getClient();SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();searchSourceBuilder.query(queryBuilder);CountRequest countRequest = new CountRequest(indexs);countRequest.source(searchSourceBuilder);CountResponse countResponse = client.count(countRequest, RequestOptions.DEFAULT);long count = countResponse.getCount();return count; }4.5 max
用SQL描述就是
select max(level) from dept where name like '部門%' public static Double getMax(QueryBuilder queryBuilder, String field, String... indexs) throws IOException {getClient();SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();searchSourceBuilder.query(queryBuilder);searchSourceBuilder.size(0);AggregationBuilder aggregationBuilder = AggregationBuilders.max("agg").field(field);searchSourceBuilder.aggregation(aggregationBuilder);SearchRequest searchRequest = new SearchRequest(indexs).types(type);searchRequest.source(searchSourceBuilder);SearchResponse searchResponse = client.search(searchRequest, RequestOptions.DEFAULT);Max agg = searchResponse.getAggregations().get("agg");return agg.getValue(); }5 terms聚合
5.1 根據(jù)1個(gè)字段group by
用SQL描述就是
select level, count(id) from dept where name like '部門%' group by level public static Map<String, Long> getTermsAgg(QueryBuilder queryBuilder, String field, String... Map<String, Long> groupMap = new HashMap<>();getClient();SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();searchSourceBuilder.query(queryBuilder);searchSourceBuilder.size(0);AggregationBuilder aggregationBuilder = AggregationBuilders.terms("agg").field(field);searchSourceBuilder.aggregation(aggregationBuilder);SearchRequest searchRequest = new SearchRequest(indexs).types(type);searchRequest.source(searchSourceBuilder);SearchResponse searchResponse = client.search(searchRequest, RequestOptions.DEFAULT);Terms terms = searchResponse.getAggregations().get("agg");for (Terms.Bucket entry : terms.getBuckets()) {groupMap.put(entry.getKey().toString(), entry.getDocCount());}return groupMap; }寫代碼測(cè)試
protected static void testGetTermsAgg(String index) {QueryBuilder queryBuilder = QueryBuilders.wildcardQuery("name.keyword", "部門*");try {Map<String, Long> groupMap = EsRestUtils.getTermsAgg(queryBuilder, "level", index);groupMap.forEach((key, value) -> System.out.println(key + " -> " + value.toString()));} catch (IOException e) {e.printStackTrace();} }運(yùn)行結(jié)果如下,左邊是level,右邊是個(gè)數(shù)
1 -> 2 2 -> 2 3 -> 25.2 根據(jù)多個(gè)字段group by
用SQL描述就是
select level, status, count(id) from dept where name like '部門%' group by level, status public static Map<String, Map<String, Long>> getTermsAggTwoLevel(QueryBuilder queryBuilder, String field1, String field2, String... indexs) throws IOException {Map<String, Map<String, Long>> groupMap = new HashMap<>();getClient();SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();searchSourceBuilder.query(queryBuilder);searchSourceBuilder.size(0);AggregationBuilder agg1 = AggregationBuilders.terms("agg1").field(field1);AggregationBuilder agg2 = AggregationBuilders.terms("agg2").field(field2);agg1.subAggregation(agg2);searchSourceBuilder.aggregation(agg1);SearchRequest searchRequest = new SearchRequest(indexs).types(type);searchRequest.source(searchSourceBuilder);SearchResponse searchResponse = client.search(searchRequest, RequestOptions.DEFAULT);Terms terms1 = searchResponse.getAggregations().get("agg1");Terms terms2;for (Terms.Bucket bucket1 : terms1.getBuckets()) {terms2 = bucket1.getAggregations().get("agg2");Map<String, Long> map2 = new HashMap<>();for (Terms.Bucket bucket2 : terms2.getBuckets()) {map2.put(bucket2.getKey().toString(), bucket2.getDocCount());}groupMap.put(bucket1.getKey().toString(), map2);}return groupMap; }寫代碼測(cè)試
protected static void testGetTermsAgg2(String index) {QueryBuilder queryBuilder = QueryBuilders.wildcardQuery("name.keyword", "部門*");try {Map<String, Map<String, Long>> groupMap = EsRestUtils.getTermsAggTwoLevel(queryBuilder, "level", "status", index);groupMap.forEach((key, value) -> System.out.println(key + " -> " + value.toString()));} catch (IOException e) {e.printStackTrace();} }對(duì)于id=6的那條數(shù)據(jù),status=null,就不會(huì)統(tǒng)計(jì)到,如果沒有status也不會(huì)統(tǒng)計(jì)到。
1 -> {0=1, 1=1}#leve=1的數(shù)據(jù)中,status=1的1條,status=0的1條 2 -> {0=2} #leve=2的數(shù)據(jù)中,status=0的2條 3 -> {1=1} #leve=3的數(shù)據(jù)中,status=1的1條如果本文對(duì)您有幫助,就點(diǎn)個(gè)贊👍吧
總結(jié)
以上是生活随笔為你收集整理的Elasticsearch教程(4) High Level REST Client API 查询 聚合 分组的全部?jī)?nèi)容,希望文章能夠幫你解決所遇到的問題。
- 上一篇: Linux卸载搜狗输入法
- 下一篇: 湖南省第六届大学生计算机程序设计竞赛--