1、按年龄分组,查询每组的个数
@Test public void testTerms() throws IOException, InterruptedException, ExecutionException { //指定集群 Settings settings = Settings.builder().put("cluster.name","my-application").build(); //创建客户端 TransportClient client = new PreBuiltTransportClient(settings) .addTransportAddress(new TransportAddress(InetAddress.getByName("192.168.43.151"),9300)); //创建查询对象,按年龄分组,查询每组的个数 AggregationBuilder agg = AggregationBuilders.terms("terms").field("age"); //执行查询 SearchResponse sr = client.prepareSearch("lib3") .addAggregation(agg) .execute() .actionGet(); //获取结果 Terms terms = sr.getAggregations().get("terms"); //遍历 for(Terms.Bucket entry:terms.getBuckets()) { System.out.println(entry.getKey()+"----------"+entry.getDocCount()); } client.close(); }
2、过滤查询age字段是20的文档
@Test public void testFilter() throws IOException, InterruptedException, ExecutionException { //指定集群 Settings settings = Settings.builder().put("cluster.name","my-application").build(); //创建客户端 TransportClient client = new PreBuiltTransportClient(settings) .addTransportAddress(new TransportAddress(InetAddress.getByName("192.168.43.151"),9300)); //指定查询条件,age字段是20的 QueryBuilder query = QueryBuilders.termQuery("age", 29); //过滤查询条件,过滤出满足查询条件的文档 AggregationBuilder agg = AggregationBuilders.filter("filter", query); //执行查询 SearchResponse sr = client.prepareSearch("lib3") .addAggregation(agg) .execute() .actionGet(); //获取结果 Filter filter = sr.getAggregations().get("filter"); //输出个数 System.out.println(filter.getDocCount()); client.close(); }
3、过滤查询interests字段包含changge、hejiu的文档
@Test public void testFilters() throws IOException, InterruptedException, ExecutionException { //指定集群 Settings settings = Settings.builder().put("cluster.name","my-application").build(); //创建客户端 TransportClient client = new PreBuiltTransportClient(settings) .addTransportAddress(new TransportAddress(InetAddress.getByName("192.168.43.151"),9300)); //指定查询条件,interests字段包含changge的 QueryBuilder query = QueryBuilders.termQuery("interests", "changge"); //指定查询条件,interests字段包含hejiu的 QueryBuilder query2 = QueryBuilders.termQuery("interests", "hejiu"); //过滤查询条件,过滤出满足query或者query2的文档 AggregationBuilder agg = AggregationBuilders.filters("filters", new FiltersAggregator.KeyedFilter("条件1",query), new FiltersAggregator.KeyedFilter("条件2",query2)); //执行查询 SearchResponse sr = client.prepareSearch("lib3") .addAggregation(agg) .execute() .actionGet(); //获取结果 Filters filters = sr.getAggregations().get("filters"); //遍历,指定了两个filter,所以输出两条数据,key分别是条件1、条件2 for(Filters.Bucket entry:filters.getBuckets()) { System.out.println(entry.getKey()+"----------"+entry.getDocCount()); } client.close(); }
4、分别统计年龄小于50的,25到50之间的,大于25的文档个数
@Test public void testRange() throws IOException, InterruptedException, ExecutionException { //指定集群 Settings settings = Settings.builder().put("cluster.name","my-application").build(); //创建客户端 TransportClient client = new PreBuiltTransportClient(settings) .addTransportAddress(new TransportAddress(InetAddress.getByName("192.168.43.151"),9300)); //统计3组数据年龄小于50的,25到50之间的,大于25的 AggregationBuilder agg = AggregationBuilders.range("range") .field("age") .addUnboundedTo(50)//( ,to) .addRange(25,50)//[from,to) .addUnboundedFrom(25);//[from, ) //执行查询 SearchResponse sr = client.prepareSearch("lib3") .addAggregation(agg) .execute() .actionGet(); //获取结果 Range r = sr.getAggregations().get("range"); //遍历,输出3个key,*-50.0;25.0-50.0;25.0-* for(Range.Bucket entry:r.getBuckets()) { System.out.println(entry.getKey()+"----------"+entry.getDocCount()); } client.close(); }
5、统计缺失age字段的文档个数
@Test public void testMissing() throws IOException, InterruptedException, ExecutionException { //指定集群 Settings settings = Settings.builder().put("cluster.name","my-application").build(); //创建客户端 TransportClient client = new PreBuiltTransportClient(settings) .addTransportAddress(new TransportAddress(InetAddress.getByName("192.168.43.151"),9300)); //统计缺失字段age的文档 AggregationBuilder agg = AggregationBuilders.missing("missing").field("age"); //执行查询 SearchResponse sr = client.prepareSearch("lib3") .addAggregation(agg) .execute() .actionGet(); //获取结果 Aggregation aggregation = sr.getAggregations().get("missing"); //输出结果 System.out.println(aggregation.toString()); client.close(); }