该篇博客为elasticsearch 查询语句相关Java Api 事例，包括match，term，prefix等操作。
官网传送门
1. 准备
参考 上一篇博客传送门
2. 事例
import org.apache.lucene.search.join.ScoreMode;
import org.assertj.core.util.Lists;
import org.elasticsearch.action.get.GetResponse;
import org.elasticsearch.action.search.MultiSearchResponse;
import org.elasticsearch.action.search.SearchRequestBuilder;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.action.search.SearchType;
import org.elasticsearch.client.transport.TransportClient;
import org.elasticsearch.common.unit.TimeValue;
import org.elasticsearch.index.query.BoolQueryBuilder;
import org.elasticsearch.index.query.QueryBuilder;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.search.SearchHit;
import org.elasticsearch.search.SearchHits;
import org.junit.Test;
import org.junit.runner.RunWith;
import org.springframework.boot.test.context.SpringBootTest;
import org.springframework.test.context.junit4.SpringRunner;
import javax.annotation.Resource;
import java.util.List;
import java.util.Map;
/**
* 查询测试
*/
@RunWith(SpringRunner.class)
@SpringBootTest(webEnvironment = SpringBootTest.WebEnvironment.DEFINED_PORT)
public class QueryTest {
@Resource(name = "dataClient")
private TransportClient client;
@Test
public void get() {
GetResponse response = client.prepareGet("twitter", "tweet", "1")
.setOperationThreaded(false)
.execute()
.actionGet();
System.out.println(response.getSourceAsString());
}
/**
* 滚动查询--scroll
*/
@Test
public void scroll() {
// QueryBuilder qb = termQuery("name", "sima");
SearchResponse scrollResp = client.prepareSearch("twitter")
.setTypes("tweet")
.setSearchType(SearchType.QUERY_THEN_FETCH)
.setScroll(new TimeValue(60000))
// .setQuery(qb)
//100 hits per shard will be returned for each scroll
.setSize(100).execute().actionGet();
// 每次返回100条
while (true) {
for (SearchHit hit : scrollResp.getHits().getHits()) {
System.out.println(hit.sourceAsString());
}
scrollResp = client.prepareSearchScroll(scrollResp.getScrollId()).setScroll(new TimeValue(600000)).execute().actionGet();
//Break condition: No hits are returned
if (scrollResp.getHits().getHits().length == 0) {
break;
}
}
}
/**
* 批量查询--MultiSearch
*/
@Test
public void MultiSearch() {
SearchRequestBuilder srb1 = client.prepareSearch("twitter").setTypes("tweet")
.setQuery(QueryBuilders.termQuery("name", "sima")).setSize(1);
SearchRequestBuilder srb2 = client.prepareSearch("twitter").setTypes("tweet")
.setQuery(QueryBuilders.matchQuery("name", "kimchy")).setSize(1);
MultiSearchResponse sr = client.prepareMultiSearch()
.add(srb1)
.add(srb2)
.execute().actionGet();
// You will get all individual responses from MultiSearchResponse#getResponses()
long nbHits = 0;
for (MultiSearchResponse.Item item : sr.getResponses()) {
SearchResponse response = item.getResponse();
nbHits += response.getHits().getTotalHits();
System.out.println(nbHits);
}
}
/**
* prefix前缀查询
*/
@Test
public void prefix() {
//prefixQuery 第一个参数为字段名，后面是以kimchy开头的条件进行查询
QueryBuilder builder = QueryBuilders.prefixQuery("name", "kimchy");
SearchResponse response = client.prepareSearch("twitter")
.setTypes("tweet")
.setQuery(builder)
.get();
SearchHits hits = response.getHits();
for (SearchHit hit : hits) {
System.out.println(hit.getSourceAsString());
//将获取的值转换成map的形式
Map<String, Object> map = hit.getSource();
for (String key : map.keySet()) {
System.out.println(key + " key对应的值为：" + map.get(key));
}
}
}
/**
* wildcard查询
*/
@Test
public void wildcard() {
QueryBuilder builder = QueryBuilders.wildcardQuery("name", "kimchy*");
SearchResponse response = client.prepareSearch("twitter")
.setTypes("tweet")
.setQuery(builder)
.get();
SearchHits hits = response.getHits();
for (SearchHit hit : hits) {
System.out.println(hit.getSourceAsString());
//将获取的值转换成map的形式
Map<String, Object> map = hit.getSource();
for (String key : map.keySet()) {
System.out.println(key + " key对应的值为：" + map.get(key));
}
}
}
/**
* fuzzy模糊查询
*/
@Test
public void fuzzy() {
QueryBuilder builder = QueryBuilders.fuzzyQuery("name", "kimcyh");
SearchResponse response = client.prepareSearch("twitter")
.setTypes("tweet")
.setQuery(builder)
.get();
SearchHits hits = response.getHits();
for (SearchHit hit : hits) {
System.out.println(hit.getSourceAsString());
//将获取的值转换成map的形式
Map<String, Object> map = hit.getSource();
for (String key : map.keySet()) {
System.out.println(key + " key对应的值为：" + map.get(key));
}
}
}
/**
* term查询
*/
@Test
public void term() {
QueryBuilder builder = QueryBuilders.termQuery("name", "kimchy1");
SearchResponse response = client.prepareSearch("twitter")
.setTypes("tweet")
.setQuery(builder)
.get();
SearchHits hits = response.getHits();
for (SearchHit hit : hits) {
System.out.println(hit.getSourceAsString());
//将获取的值转换成map的形式
Map<String, Object> map = hit.getSource();
for (String key : map.keySet()) {
System.out.println(key + " key对应的值为：" + map.get(key));
}
}
}
/**
* terms查询
*/
@Test
public void terms() {
List<Long> list = Lists.newArrayList();
list.add(12345123123L);
list.add(1231356L);
QueryBuilder builder = QueryBuilders.termsQuery("postDate", list);
SearchResponse response = client.prepareSearch("twitter")
.setTypes("tweet")
.setQuery(builder)
.get();
SearchHits hits = response.getHits();
for (SearchHit hit : hits) {
System.out.println(hit.getSourceAsString());
//将获取的值转换成map的形式
Map<String, Object> map = hit.getSource();
for (String key : map.keySet()) {
System.out.println(key + " key对应的值为：" + map.get(key));
}
}
}
/**
* idsQuery
*/
@Test
public void idsQuery() {
QueryBuilder builder = QueryBuilders.idsQuery().addIds("1", "2");
SearchResponse response = client.prepareSearch("twitter")
.setTypes("tweet")
.setQuery(builder)
.get();
SearchHits hits = response.getHits();
for (SearchHit hit : hits) {
System.out.println(hit.getSourceAsString());
//将获取的值转换成map的形式
Map<String, Object> map = hit.getSource();
for (String key : map.keySet()) {
System.out.println(key + " key对应的值为：" + map.get(key));
}
}
}
/**
* 限制返回字段和分页
*/
@Test
public void idsQuery1() {
QueryBuilder builder = QueryBuilders.idsQuery().addIds("1", "2");
SearchResponse response = client.prepareSearch("twitter")
.setTypes("tweet")
.setQuery(builder)
// 分页
.setFrom(0)
.setSize(1)
// 限制返回字段
.setFetchSource("name", null)
.get();
SearchHits hits = response.getHits();
for (SearchHit hit : hits) {
System.out.println(hit.getSourceAsString());
//将获取的值转换成map的形式
Map<String, Object> map = hit.getSource();
for (String key : map.keySet()) {
System.out.println(key + " key对应的值为：" + map.get(key));
}
}
}
/**
* match查询，分词，适用于text类型的字段
*/
@Test
public void match() {
QueryBuilder builder = QueryBuilders.matchQuery("title", "黑龙江");
SearchResponse response = client.prepareSearch("twitter")
.setTypes("tweet")
.setQuery(builder)
.get();
SearchHits hits = response.getHits();
for (SearchHit hit : hits) {
System.out.println(hit.getSourceAsString());
}
}
/**
* multiMatch查询
*/
@Test
public void multiMatch() {
// 搜索name或者title中含有“黑龙江”的文档
QueryBuilder builder = QueryBuilders.multiMatchQuery("黑龙江", "name", "title");
SearchResponse response = client.prepareSearch("twitter")
.setTypes("tweet")
.setQuery(builder)
.get();
SearchHits hits = response.getHits();
for (SearchHit hit : hits) {
System.out.println(hit.getSourceAsString());
}
}
/**
* range查询
*/
@Test
public void range() {
QueryBuilder builder = QueryBuilders.rangeQuery("postDate")
.from(1574874999000L)
.to(15748749990001L)
.includeLower(true) // 包含上届
.includeUpper(false);// 包含下届
SearchResponse response = client.prepareSearch("twitter")
.setTypes("tweet")
.setQuery(builder)
.get();
SearchHits hits = response.getHits();
for (SearchHit hit : hits) {
System.out.println(hit.getSourceAsString());
}
}
/**
* nested查询
*/
@Test
public void nestedMatch() {
BoolQueryBuilder boolBuilder = new BoolQueryBuilder();
boolBuilder.must(QueryBuilders.termQuery("users.name", "SIMA"));
QueryBuilder builder = QueryBuilders.nestedQuery("users", boolBuilder, ScoreMode.None);
SearchResponse response = client.prepareSearch("schools")
.setTypes("classes")
.setQuery(builder)
.get();
SearchHits hits = response.getHits();
for (SearchHit hit : hits) {
System.out.println(hit.getSourceAsString());
}
}
/**
* exists查询
*/
@Test
public void exists() {
QueryBuilder builder =QueryBuilders.existsQuery("title");
SearchResponse response = client.prepareSearch("twitter")
.setTypes("tweet")
.setQuery(builder)
.get();
SearchHits hits = response.getHits();
for (SearchHit hit : hits) {
System.out.println(hit.getSourceAsString());
}
}
/**
* bool查询
*/
@Test
public void bool() {
BoolQueryBuilder boolBuilder = new BoolQueryBuilder();
// AND
boolBuilder.must(QueryBuilders.termQuery("name", "SIMA"));
// OR
boolBuilder.should(QueryBuilders.termQuery("name", "SIMA1"));
// NOT
boolBuilder.mustNot(QueryBuilders.termQuery("name", "KILL"));
// 过滤
boolBuilder.filter(QueryBuilders.termQuery("price", 2.2D));
SearchResponse response = client.prepareSearch("twitter")
.setTypes("tweet")
.setQuery(boolBuilder)
.get();
SearchHits hits = response.getHits();
for (SearchHit hit : hits) {
System.out.println(hit.getSourceAsString());
}
}
/**
* script查询
*/
@Test
public void script() {
Script script = new Script("doc['price'].value > 1");
ScriptQueryBuilder scriptbuilder = new ScriptQueryBuilder(script);
BoolQueryBuilder boolQueryBuilder = new BoolQueryBuilder();
boolQueryBuilder.must(scriptbuilder);
SearchResponse response = client.prepareSearch("twitter")
.setTypes("tweet")
.setQuery(boolQueryBuilder)
.get();
SearchHits hits = response.getHits();
for (SearchHit hit : hits) {
System.out.println(hit.getSourceAsString());
//将获取的值转换成map的形式
Map<String, Object> map = hit.getSource();
for (String key : map.keySet()) {
System.out.println(key + " key对应的值为：" + map.get(key));
}
}
}
}
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