這期內(nèi)容當(dāng)中小編將會(huì)給大家?guī)碛嘘P(guān)使用java怎么對elasticsearch進(jìn)行操作，文章內(nèi)容豐富且以專業(yè)的角度為大家分析和敘述，閱讀完這篇文章希望大家可以有所收獲。
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Java操作es集群步驟1：配置集群對象信息；2：創(chuàng)建客戶端；3：查看集群信息
1：集群名稱
默認(rèn)集群名為elasticsearch，如果集群名稱和指定的不一致則在使用節(jié)點(diǎn)資源時(shí)會(huì)報(bào)錯(cuò)。
2：嗅探功能
通過client.transport.sniff啟動(dòng)嗅探功能，這樣只需要指定集群中的某一個(gè)節(jié)點(diǎn)(不一定是主節(jié)點(diǎn))，然后會(huì)加載集群中的其他節(jié)點(diǎn)，這樣只要程序不停即使此節(jié)點(diǎn)宕機(jī)仍然可以連接到其他節(jié)點(diǎn)。
3：查詢類型SearchType.QUERY_THEN_FETCH
es 查詢共有4種查詢類型
QUERY_AND_FETCH:
主節(jié)點(diǎn)將查詢請求分發(fā)到所有的分片中，各個(gè)分片按照自己的查詢規(guī)則即詞頻文檔頻率進(jìn)行打分排序，然后將結(jié)果返回給主節(jié)點(diǎn)，主節(jié)點(diǎn)對所有數(shù)據(jù)進(jìn)行匯總排序然后再返回給客戶端，此種方式只需要和es交互一次。
這種查詢方式存在數(shù)據(jù)量和排序問題，主節(jié)點(diǎn)會(huì)匯總所有分片返回的數(shù)據(jù)這樣數(shù)據(jù)量會(huì)比較大，二是各個(gè)分片上的規(guī)則可能不一致。
QUERY_THEN_FETCH:
主節(jié)點(diǎn)將請求分發(fā)給所有分片，各個(gè)分片打分排序后將數(shù)據(jù)的id和分值返回給主節(jié)點(diǎn)，主節(jié)點(diǎn)收到后進(jìn)行匯總排序再根據(jù)排序后的id到對應(yīng)的節(jié)點(diǎn)讀取對應(yīng)的數(shù)據(jù)再返回給客戶端，此種方式需要和es交互兩次。
這種方式解決了數(shù)據(jù)量問題但是排序問題依然存在而且是es的默認(rèn)查詢方式
DEF_QUERY_AND_FETCH: 和 DFS_QUERY_THEN_FETCH:
將各個(gè)分片的規(guī)則統(tǒng)一起來進(jìn)行打分。解決了排序問題但是DFS_QUERY_AND_FETCH仍然存在數(shù)據(jù)量問題，DFS_QUERY_THEN_FETCH兩種噢乖你問題都解決但是效率是最差的。
1, 獲取client, 兩種方式獲取
重慶分公司
重慶分公司
@Before
public void before() throws Exception {
Map map = new HashMap();
map.put("cluster.name", "elasticsearch_wenbronk");
Settings.Builder settings = Settings.builder().put(map);
client = TransportClient.builder().settings(settings).build()
.addTransportAddress(new InetSocketTransportAddress(InetAddress.getByName("www.wenbronk.com"), Integer.parseInt("9300")));
} @Before
public void before11() throws Exception {
// 創(chuàng)建客戶端, 使用的默認(rèn)集群名, "elasticSearch"
// client = TransportClient.builder().build()
// .addTransportAddress(new InetSocketTransportAddress(InetAddress.getByName("www.wenbronk.com"), 9300));
// 通過setting對象指定集群配置信息, 配置的集群名
Settings settings = Settings.settingsBuilder().put("cluster.name", "elasticsearch_wenbronk") // 設(shè)置集群名
// .put("client.transport.sniff", true) // 開啟嗅探 , 開啟后會(huì)一直連接不上, 原因未知
// .put("network.host", "192.168.50.37")
.put("client.transport.ignore_cluster_name", true) // 忽略集群名字驗(yàn)證, 打開后集群名字不對也能連接上
// .put("client.transport.nodes_sampler_interval", 5) //報(bào)錯(cuò),
// .put("client.transport.ping_timeout", 5) // 報(bào)錯(cuò), ping等待時(shí)間,
.build();
client = TransportClient.builder().settings(settings).build()
.addTransportAddress(new InetSocketTransportAddress(new InetSocketAddress("192.168.50.37", 9300)));
// 默認(rèn)5s
// 多久打開連接, 默認(rèn)5s
System.out.println("success connect");
}PS: 官網(wǎng)給的2種方式都不能用, 需要合起來才能用, 浪費(fèi)老子一下午...
其他參數(shù)的意義:
代碼:
package com.wenbronk.javaes;
import java.net.InetAddress;
import java.net.InetSocketAddress;
import java.util.Date;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.concurrent.TimeUnit;
import org.elasticsearch.action.bulk.BackoffPolicy;
import org.elasticsearch.action.bulk.BulkProcessor;
import org.elasticsearch.action.bulk.BulkProcessor.Listener;
import org.elasticsearch.action.bulk.BulkRequest;
import org.elasticsearch.action.bulk.BulkRequestBuilder;
import org.elasticsearch.action.bulk.BulkResponse;
import org.elasticsearch.action.delete.DeleteRequest;
import org.elasticsearch.action.delete.DeleteResponse;
import org.elasticsearch.action.get.GetResponse;
import org.elasticsearch.action.get.MultiGetItemResponse;
import org.elasticsearch.action.get.MultiGetResponse;
import org.elasticsearch.action.index.IndexRequest;
import org.elasticsearch.action.index.IndexResponse;
import org.elasticsearch.action.update.UpdateRequest;
import org.elasticsearch.action.update.UpdateResponse;
import org.elasticsearch.client.transport.TransportClient;
import org.elasticsearch.cluster.node.DiscoveryNode;
import org.elasticsearch.common.settings.Settings;
import org.elasticsearch.common.transport.InetSocketTransportAddress;
import org.elasticsearch.common.unit.ByteSizeUnit;
import org.elasticsearch.common.unit.ByteSizeValue;
import org.elasticsearch.common.unit.TimeValue;
import org.elasticsearch.common.xcontent.XContentBuilder;
import org.elasticsearch.common.xcontent.XContentFactory;
import org.elasticsearch.script.Script;
import org.junit.Before;
import org.junit.Test;
import com.alibaba.fastjson.JSONObject;
/**
* 使用java API操作elasticSearch
*
* @author 231
*
*/
public class JavaESTest {
private TransportClient client;
private IndexRequest source;
/**
* 獲取連接, 第一種方式
* @throws Exception
*/
// @Before
public void before() throws Exception {
Map map = new HashMap();
map.put("cluster.name", "elasticsearch_wenbronk");
Settings.Builder settings = Settings.builder().put(map);
client = TransportClient.builder().settings(settings).build()
.addTransportAddress(new InetSocketTransportAddress(InetAddress.getByName("www.wenbronk.com"), Integer.parseInt("9300")));
}
/**
* 查看集群信息
*/
@Test
public void testInfo() {
List nodes = client.connectedNodes();
for (DiscoveryNode node : nodes) {
System.out.println(node.getHostAddress());
}
}
/**
* 組織json串, 方式1,直接拼接
*/
public String createJson1() {
String json = "{" +
"\"user\":\"kimchy\"," +
"\"postDate\":\"2013-01-30\"," +
"\"message\":\"trying out Elasticsearch\"" +
"}";
return json;
}
/**
* 使用map創(chuàng)建json
*/
public Map createJson2() {
Map json = new HashMap();
json.put("user", "kimchy");
json.put("postDate", new Date());
json.put("message", "trying out elasticsearch");
return json;
}
/**
* 使用fastjson創(chuàng)建
*/
public JSONObject createJson3() {
JSONObject json = new JSONObject();
json.put("user", "kimchy");
json.put("postDate", new Date());
json.put("message", "trying out elasticsearch");
return json;
}
/**
* 使用es的幫助類
*/
public XContentBuilder createJson4() throws Exception {
// 創(chuàng)建json對象, 其中一個(gè)創(chuàng)建json的方式
XContentBuilder source = XContentFactory.jsonBuilder()
.startObject()
.field("user", "kimchy")
.field("postDate", new Date())
.field("message", "trying to out ElasticSearch")
.endObject();
return source;
}
/**
* 存入索引中
* @throws Exception
*/
@Test
public void test1() throws Exception {
XContentBuilder source = createJson4();
// 存json入索引中
IndexResponse response = client.prepareIndex("twitter", "tweet", "1").setSource(source).get();
// // 結(jié)果獲取
String index = response.getIndex();
String type = response.getType();
String id = response.getId();
long version = response.getVersion();
boolean created = response.isCreated();
System.out.println(index + " : " + type + ": " + id + ": " + version + ": " + created);
}
/**
* get API 獲取指定文檔信息
*/
@Test
public void testGet() {
// GetResponse response = client.prepareGet("twitter", "tweet", "1")
// .get();
GetResponse response = client.prepareGet("twitter", "tweet", "1")
.setOperationThreaded(false) // 線程安全
.get();
System.out.println(response.getSourceAsString());
}
/**
* 測試 delete api
*/
@Test
public void testDelete() {
DeleteResponse response = client.prepareDelete("twitter", "tweet", "1")
.get();
String index = response.getIndex();
String type = response.getType();
String id = response.getId();
long version = response.getVersion();
System.out.println(index + " : " + type + ": " + id + ": " + version);
}
/**
* 測試更新 update API
* 使用 updateRequest 對象
* @throws Exception
*/
@Test
public void testUpdate() throws Exception {
UpdateRequest updateRequest = new UpdateRequest();
updateRequest.index("twitter");
updateRequest.type("tweet");
updateRequest.id("1");
updateRequest.doc(XContentFactory.jsonBuilder()
.startObject()
// 對沒有的字段添加, 對已有的字段替換
.field("gender", "male")
.field("message", "hello")
.endObject());
UpdateResponse response = client.update(updateRequest).get();
// 打印
String index = response.getIndex();
String type = response.getType();
String id = response.getId();
long version = response.getVersion();
System.out.println(index + " : " + type + ": " + id + ": " + version);
}
/**
* 測試update api, 使用client
* @throws Exception
*/
@Test
public void testUpdate2() throws Exception {
// 使用Script對象進(jìn)行更新
// UpdateResponse response = client.prepareUpdate("twitter", "tweet", "1")
// .setScript(new Script("hits._source.gender = \"male\""))
// .get();
// 使用XContFactory.jsonBuilder() 進(jìn)行更新
// UpdateResponse response = client.prepareUpdate("twitter", "tweet", "1")
// .setDoc(XContentFactory.jsonBuilder()
// .startObject()
// .field("gender", "malelelele")
// .endObject()).get();
// 使用updateRequest對象及script
// UpdateRequest updateRequest = new UpdateRequest("twitter", "tweet", "1")
// .script(new Script("ctx._source.gender=\"male\""));
// UpdateResponse response = client.update(updateRequest).get();
// 使用updateRequest對象及documents進(jìn)行更新
UpdateResponse response = client.update(new UpdateRequest("twitter", "tweet", "1")
.doc(XContentFactory.jsonBuilder()
.startObject()
.field("gender", "male")
.endObject()
)).get();
System.out.println(response.getIndex());
}
/**
* 測試update
* 使用updateRequest
* @throws Exception
* @throws InterruptedException
*/
@Test
public void testUpdate3() throws InterruptedException, Exception {
UpdateRequest updateRequest = new UpdateRequest("twitter", "tweet", "1")
.script(new Script("ctx._source.gender=\"male\""));
UpdateResponse response = client.update(updateRequest).get();
}
/**
* 測試upsert方法
* @throws Exception
*
*/
@Test
public void testUpsert() throws Exception {
// 設(shè)置查詢條件, 查找不到則添加生效
IndexRequest indexRequest = new IndexRequest("twitter", "tweet", "2")
.source(XContentFactory.jsonBuilder()
.startObject()
.field("name", "214")
.field("gender", "gfrerq")
.endObject());
// 設(shè)置更新, 查找到更新下面的設(shè)置
UpdateRequest upsert = new UpdateRequest("twitter", "tweet", "2")
.doc(XContentFactory.jsonBuilder()
.startObject()
.field("user", "wenbronk")
.endObject())
.upsert(indexRequest);
client.update(upsert).get();
}
/**
* 測試multi get api
* 從不同的index, type, 和id中獲取
*/
@Test
public void testMultiGet() {
MultiGetResponse multiGetResponse = client.prepareMultiGet()
.add("twitter", "tweet", "1")
.add("twitter", "tweet", "2", "3", "4")
.add("anothoer", "type", "foo")
.get();
for (MultiGetItemResponse itemResponse : multiGetResponse) {
GetResponse response = itemResponse.getResponse();
if (response.isExists()) {
String sourceAsString = response.getSourceAsString();
System.out.println(sourceAsString);
}
}
}
/**
* bulk 批量執(zhí)行
* 一次查詢可以update 或 delete多個(gè)document
*/
@Test
public void testBulk() throws Exception {
BulkRequestBuilder bulkRequest = client.prepareBulk();
bulkRequest.add(client.prepareIndex("twitter", "tweet", "1")
.setSource(XContentFactory.jsonBuilder()
.startObject()
.field("user", "kimchy")
.field("postDate", new Date())
.field("message", "trying out Elasticsearch")
.endObject()));
bulkRequest.add(client.prepareIndex("twitter", "tweet", "2")
.setSource(XContentFactory.jsonBuilder()
.startObject()
.field("user", "kimchy")
.field("postDate", new Date())
.field("message", "another post")
.endObject()));
BulkResponse response = bulkRequest.get();
System.out.println(response.getHeaders());
}
/**
* 使用bulk processor
* @throws Exception
*/
@Test
public void testBulkProcessor() throws Exception {
// 創(chuàng)建BulkPorcessor對象
BulkProcessor bulkProcessor = BulkProcessor.builder(client, new Listener() {
public void beforeBulk(long paramLong, BulkRequest paramBulkRequest) {
// TODO Auto-generated method stub
}
// 執(zhí)行出錯(cuò)時(shí)執(zhí)行
public void afterBulk(long paramLong, BulkRequest paramBulkRequest, Throwable paramThrowable) {
// TODO Auto-generated method stub
}
public void afterBulk(long paramLong, BulkRequest paramBulkRequest, BulkResponse paramBulkResponse) {
// TODO Auto-generated method stub
}
})
// 1w次請求執(zhí)行一次bulk
.setBulkActions(10000)
// 1gb的數(shù)據(jù)刷新一次bulk
.setBulkSize(new ByteSizeValue(1, ByteSizeUnit.GB))
// 固定5s必須刷新一次
.setFlushInterval(TimeValue.timeValueSeconds(5))
// 并發(fā)請求數(shù)量, 0不并發(fā), 1并發(fā)允許執(zhí)行
.setConcurrentRequests(1)
// 設(shè)置退避, 100ms后執(zhí)行, 最大請求3次
.setBackoffPolicy(
BackoffPolicy.exponentialBackoff(TimeValue.timeValueMillis(100), 3))
.build();
// 添加單次請求
bulkProcessor.add(new IndexRequest("twitter", "tweet", "1"));
bulkProcessor.add(new DeleteRequest("twitter", "tweet", "2"));
// 關(guān)閉
bulkProcessor.awaitClose(10, TimeUnit.MINUTES);
// 或者
bulkProcessor.close();
}
} tes2代碼:
package com.wenbronk.javaes;
import java.net.InetSocketAddress;
import org.apache.lucene.queryparser.xml.FilterBuilderFactory;
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.settings.Settings;
import org.elasticsearch.common.settings.Settings.Builder;
import org.elasticsearch.common.transport.InetSocketTransportAddress;
import org.elasticsearch.common.unit.TimeValue;
import org.elasticsearch.index.query.QueryBuilder;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.search.SearchHit;
import org.elasticsearch.search.aggregations.Aggregation;
import org.elasticsearch.search.aggregations.AggregationBuilders;
import org.elasticsearch.search.aggregations.bucket.histogram.DateHistogramInterval;
import org.elasticsearch.search.sort.SortOrder;
import org.elasticsearch.search.sort.SortParseElement;
import org.junit.Before;
import org.junit.Test;
/**
* 使用java API操作elasticSearch
* search API
* @author 231
*
*/
public class JavaESTest2 {
private TransportClient client;
/**
* 獲取client對象
*/
@Before
public void testBefore() {
Builder builder = Settings.settingsBuilder();
builder.put("cluster.name", "wenbronk_escluster");
// .put("client.transport.ignore_cluster_name", true);
Settings settings = builder.build();
org.elasticsearch.client.transport.TransportClient.Builder transportBuild = TransportClient.builder();
TransportClient client1 = transportBuild.settings(settings).build();
client = client1.addTransportAddress((new InetSocketTransportAddress(new InetSocketAddress("192.168.50.37", 9300))));
System.out.println("success connect to escluster");
}
/**
* 測試查詢
*/
@Test
public void testSearch() {
// SearchRequestBuilder searchRequestBuilder = client.prepareSearch("twitter", "tweet", "1");
// SearchResponse response = searchRequestBuilder.setTypes("type1", "type2")
// .setSearchType(SearchType.DFS_QUERY_THEN_FETCH)
// .setQuery(QueryBuilders.termQuery("user", "test"))
// .setPostFilter(QueryBuilders.rangeQuery("age").from(0).to(1))
// .setFrom(0).setSize(2).setExplain(true)
// .execute().actionGet();
SearchResponse response = client.prepareSearch()
.execute().actionGet();
// SearchHits hits = response.getHits();
// for (SearchHit searchHit : hits) {
// for(Iterator iterator = searchHit.iterator(); iterator.hasNext(); ) {
// SearchHitField next = iterator.next();
// System.out.println(next.getValues());
// }
// }
System.out.println(response);
}
/**
* 測試scroll api
* 對大量數(shù)據(jù)的處理更有效
*/
@Test
public void testScrolls() {
QueryBuilder queryBuilder = QueryBuilders.termQuery("twitter", "tweet");
SearchResponse response = client.prepareSearch("twitter")
.addSort(SortParseElement.DOC_FIELD_NAME, SortOrder.ASC)
.setScroll(new TimeValue(60000))
.setQuery(queryBuilder)
.setSize(100).execute().actionGet();
while(true) {
for (SearchHit hit : response.getHits().getHits()) {
System.out.println("i am coming");
}
SearchResponse response2 = client.prepareSearchScroll(response.getScrollId())
.setScroll(new TimeValue(60000)).execute().actionGet();
if (response2.getHits().getHits().length == 0) {
System.out.println("oh no=====");
break;
}
}
}
/**
* 測試multiSearch
*/
@Test
public void testMultiSearch() {
QueryBuilder qb1 = QueryBuilders.queryStringQuery("elasticsearch");
SearchRequestBuilder requestBuilder1 = client.prepareSearch().setQuery(qb1).setSize(1);
QueryBuilder qb2 = QueryBuilders.matchQuery("user", "kimchy");
SearchRequestBuilder requestBuilder2 = client.prepareSearch().setQuery(qb2).setSize(1);
MultiSearchResponse multiResponse = client.prepareMultiSearch().add(requestBuilder1).add(requestBuilder2)
.execute().actionGet();
long nbHits = 0;
for (MultiSearchResponse.Item item : multiResponse.getResponses()) {
SearchResponse response = item.getResponse();
nbHits = response.getHits().getTotalHits();
SearchHit[] hits = response.getHits().getHits();
System.out.println(nbHits);
}
}
/**
* 測試聚合查詢
*/
@Test
public void testAggregation() {
SearchResponse response = client.prepareSearch()
.setQuery(QueryBuilders.matchAllQuery()) // 先使用query過濾掉一部分
.addAggregation(AggregationBuilders.terms("term").field("user"))
.addAggregation(AggregationBuilders.dateHistogram("agg2").field("birth")
.interval(DateHistogramInterval.YEAR))
.execute().actionGet();
Aggregation aggregation2 = response.getAggregations().get("term");
Aggregation aggregation = response.getAggregations().get("agg2");
// SearchResponse response2 = client.search(new SearchRequest().searchType(SearchType.QUERY_AND_FETCH)).actionGet();
}
/**
* 測試terminate
*/
@Test
public void testTerminateAfter() {
SearchResponse response = client.prepareSearch("twitter").setTerminateAfter(1000).get();
if (response.isTerminatedEarly()) {
System.out.println("ternimate");
}
}
/**
* 過濾查詢: 大于gt, 小于lt, 小于等于lte, 大于等于gte
*/
@Test
public void testFilter() {
SearchResponse response = client.prepareSearch("twitter")
.setTypes("")
.setQuery(QueryBuilders.matchAllQuery()) //查詢所有
.setSearchType(SearchType.QUERY_THEN_FETCH)
// .setPostFilter(FilterBuilders.rangeFilter("age").from(0).to(19)
// .includeLower(true).includeUpper(true))
// .setPostFilter(FilterBuilderFactory .rangeFilter("age").gte(18).lte(22))
.setExplain(true) //explain為true表示根據(jù)數(shù)據(jù)相關(guān)度排序，和關(guān)鍵字匹配最高的排在前面
.get();
}
/**
* 分組查詢
*/
@Test
public void testGroupBy() {
client.prepareSearch("twitter").setTypes("tweet")
.setQuery(QueryBuilders.matchAllQuery())
.setSearchType(SearchType.QUERY_THEN_FETCH)
.addAggregation(AggregationBuilders.terms("user")
.field("user").size(0) // 根據(jù)user進(jìn)行分組
// size(0) 也是10
).get();
}
} 上述就是小編為大家分享的使用java怎么對elasticsearch進(jìn)行操作了，如果剛好有類似的疑惑，不妨參照上述分析進(jìn)行理解。如果想知道更多相關(guān)知識，歡迎關(guān)注創(chuàng)新互聯(lián)行業(yè)資訊頻道。
