ElasticSearch教程——Java常用操作

ElasticSearch汇总请查看:ElasticSearch教程——汇总篇

 

import org.elasticsearch.client.transport.TransportClient;
import org.elasticsearch.common.settings.Settings;


Settings settings = Settings.builder()
                .put("cluster.name", "elasticsearch").build();
TransportClient client= =  new PreBuiltTransportClient(settings). addTransportAddress(new TransportAddress(InetAddress.getByName("XXX.XXX.XX.XX"), 9300));

 

Preparing a query 准备查询请求

import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.Client;
import org.elasticsearch.search.SearchHit;

SearchResponse response = client.prepareSearch("library")
.addFields("title", "_source")
.execute().actionGet();
for(SearchHit hit: response.getHits().getHits()) {
     System.out.println(hit.getId());
     if (hit.getFields().containsKey("title")) {
            System.out.println("field.title: "+ hit.getFields().get("title").getValue());
     }
     System.out.println("source.title: " + hit.getSource().get("title"));
}

Building queries 构造查询

import org.elasticsearch.index.query.QueryBuilder;
import org.elasticsearch.index.query.QueryBuilders;
SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();

searchSourceBuilder.query(QueryBuilders.termQuery("sid_s", text));

Search search = new Search.Builder(searchSourceBuilder.toString()).addIndex("webpage").build();

try {

    SearchResult result = client.execute(search);

}catch(Exception e){

    e.printStackTrace();

}

Using the match all documents query 匹配所有文档的查询

queryBuilder = QueryBuilders.matchAllQuery().boost(11f).normsField("title");

The match query 匹配查询

queryBuilder = QueryBuilders
.matchQuery("message", "a quick brown fox")
.operator(Operator.AND)
.zeroTermsQuery(ZeroTermsQuery.ALL);

Using the geo shape query 地理位置查询

queryBuilder = QueryBuilders.geoShapeQuery("location",
ShapeBuilder.newRectangle()
.topLeft(13, 53)
.bottomRight(14, 52)
.build());

Paging query 分页查询

SearchResponse response = client.prepareSearch("library")
.setQuery(QueryBuilders.matchAllQuery())
.setFrom(10)   //跳过前10个文档
.setSize(20)   //获取20个文档
.execute().actionGet();
response.getHits().totalHits()//可以统计当前匹配到的结果数

Sorting  排序

searchSourceBuilder.fetchSource(null, "content").sort("_score");
		searchSourceBuilder.sort("date", SortOrder.DESC);
SortBuilders.scriptSort(script, type) //使用脚本来实现排序

SortBuilders.geoDistanceSort(fieldName) //根据空间距离来进行排序

Filtering 过滤

QueryBuilder filterBuilder = QueryBuilders  
         .filteredQuery(  
              QueryBuilders.existsQuery("title").queryName("exist"),  
              QueryBuilders.termQuery("title", "elastic")  
          );  
  
SearchResponse response = client.prepareSearch("library")  
          .setPostFilter(filterBuilder)  
          .execute().actionGet();  

Highlighting 高亮

SearchResponse response = client.prepareSearch("wikipedia")
.addHighlightedField("title")
.setQuery(QueryBuilders.termQuery("title", "actress"))
.setHighlighterPreTags("<1>", "<2>")
.setHighlighterPostTags("", "")
.execute().actionGet();
for(SearchHit hit: response.getHits().getHits()) {
    HighlightField hField = hit.getHighlightFields().get("title");
    for (Text t : hField.fragments()) {
           System.out.println(t.string());
    }
}

Suggestions 查询建议

SearchResponse response = client.prepareSearch("wikipedia")
.setQuery(QueryBuilders.matchAllQuery())
.addSuggestion(new TermSuggestionBuilder("first_suggestion")
.text("graphics designer")
.field("_all"))
.execute().actionGet();

for( Entry entry : response.getSuggest().getSuggestion("first_suggestion").getEntries()) {
     System.out.println("Check for: " + entry.getText() + ". Options:");
     for( Option option : entry.getOptions()) {
          System.out.println("\t" + option.getText());
     }
}

Counting 统计

CountResponse response = client.prepareCount("library")
.setQuery(QueryBuilders.termQuery("title", "elastic"))
.execute().actionGet();

Scrolling 滚动

SearchResponse responseSearch = client.prepareSearch("library")
.setScroll("1m")
.setSearchType(SearchType.SCAN)
.execute().actionGet();
String scrollId = responseSearch.getScrollId();
SearchResponse response = client.prepareSearchScroll(scrollId).execute().actionGet();

Bulk 批量操作

BulkResponse response = client.prepareBulk()
.add(client.prepareIndex("library", "book", "5")
.setSource("{ \"title\" : \"Solr Cookbook\"}")
.request())
.add(client.prepareDelete("library", "book", "2").request()).execute().actionGet();

Multi GET  多GET

MultiGetResponse response = client.prepareMultiGet()
.add("library", "book", "1", "2")
.execute().actionGet();

Multi Search 多搜索

MultiSearchResponse response = client.prepareMultiSearch()
.add(client.prepareSearch("library", "book").request())
.add(client.prepareSearch("news").
.setPostFilter(QueryBuilders.termQuery("tags", "important")))
.execute().actionGet();

Building JSON queries and documents 构造JSON格式的查询和文档

IndexResponse response = client
.prepareIndex("library", "book", "2")
.setSource("{ \"title\": \"Mastering ElasticSearch\"}")
.execute().actionGet();

Map m = Maps.newHashMap();
m.put("1", "Introduction");
m.put("2", "Basics");
m.put("3", "And the rest");
XContentBuilder json = XContentFactory.jsonBuilder().prettyPrint()
.startObject()
.field("id").value("2123")
.field("lastCommentTime", new Date())
.nullField("published")
.field("chapters").map(m)
.field("title", "Mastering ElasticSearch")
.array("tags", "search", "ElasticSearch", "nosql")
.field("values")
.startArray()
.value(1)
.value(10)
.endArray()
.endObject();

 

 

The cluster and indices health API 集群和索引健康状态

ClusterHealthResponse response = client.admin().cluster()
.prepareHealth("library")
.execute().actionGet();

The cluster state API 集群状态

ClusterStateResponse response = client.admin().cluster()
.prepareState()
.execute().actionGet();

The update settings API 设置更新

Map map = Maps.newHashMap();
map.put("indices.ttl.interval", "10m");
ClusterUpdateSettingsResponse response = client.admin().cluster()
.prepareUpdateSettings()
.setTransientSettings(map)
.execute().actionGet();

The reroute API 重新路由

ClusterRerouteResponse response = client.admin().cluster()
.prepareReroute()
.setDryRun(true)   //阻止分配命令的运行,仅允许下面两个给定命令(move命令 + cacel命令)的执行
.add(new MoveAllocationCommand(new ShardId("library", 3), "G3czOt4HQbKZT1RhpPCULw","PvHtEMuRSJ6rLJ27AW3U6w"),
     new CancelAllocationCommand(new ShardId("library", 2), "G3czOt4HQbKZT1RhpPCULw",true))
.execute().actionGet();

The nodes information API 节点信息

NodesInfoResponse response = client.admin().cluster()
.prepareNodesInfo()
.setHttp(true)  //响应中包括http信息
.setPlugins(true)  //响应中包括插件信息
.execute().actionGet();

The node statistics API 节点统计

NodesStatsResponse response = client.admin().cluster()
.prepareNodesStats()
.all()
.execute().actionGet();

The nodes hot threads API 节点热点线程

NodesHotThreadsResponse response = client.admin().cluster()
.prepareNodesHotThreads()
.execute().actionGet();

 The search shards API 查询分片

//输出哪些节点将处理路由值为12的查询
ClusterSearchShardsResponse response = client.admin().cluster()
.prepareSearchShards()
.setIndices("library")
.setRouting("12")
.execute().actionGet();

The index existence API 索引存在

IndicesExistsResponse response = client.admin().indices()
.prepareExists("books", "library")
.execute().actionGet();

The Type existence API 类型存在

TypesExistsResponse response = client.admin().indices()
.prepareTypesExists("library")
.setTypes("book")
.execute().actionGet();

The indices stats API 索引统计

IndicesStatsResponse response = client.admin().indices()
.prepareStats("library")
.all()
.execute().actionGet();

Index status 索引状态

IndicesStatsResponse response = client.admin().indices()
.prepareStatus("library")
.setRecovery(true)
.execute().actionGet();

Segments information API 索引段信息

IndicesSegmentResponse response = client.admin().indices()
.prepareSegments("library")
.execute().actionGet();

 Creating an index API 创建索引

CreateIndexResponse response = client.admin().indices()
.prepareCreate("news")
.setSettings(Settings.settingsBuilder()
.put("number_of_shards", 1))  //分片数为1
.addMapping("news", XContentFactory.jsonBuilder()
.startObject()
.startObject("news")
.startObject("properties")
.startObject("title")
.field("analyzer", "whitespace")
.field("type", "string")
.endObject()
.endObject()
.endObject()
.endObject())
.execute().actionGet();

Deleting an index 删除索引

DeleteIndexResponse response = client.admin().indices()
.prepareDelete("news")
.execute().actionGet();

Closing an index 关闭索引

CloseIndexResponse response = client.admin().indices()
.prepareClose("library")
.execute().actionGet();

Opening an index 打开索引

OpenIndexResponse response = client.admin().indices()
.prepareOpen("library")
.execute().actionGet();

The Refresh API  刷新索引

RefreshResponse response = client.admin().indices()
.prepareRefresh("library")
.execute().actionGet();

The Flush API 清空缓冲区

FlushResponse response = client.admin().indices()
.prepareFlush("library")
.setFource(false)
.execute().actionGet();

The Optimize API 索引优化

OptimizeResponse response = client.admin().indices()
.prepareOptimize("library")
.setMaxNumSegments(2)  //最大索引段为2
.setFlush(true)
.setOnlyExpungeDeletes(false)
.execute().actionGet();

The put mapping API 设置映射

PutMappingResponse response = client.admin().indices()
.preparePutMapping("news")
.setType("news")
.setSource(XContentFactory.jsonBuilder()
.startObject()
.startObject("news")
.startObject("properties")
.startObject("title")
.field("analyzer", "whitespace")
.field("type", "string")
.endObject()
.endObject()
.endObject()
.endObject())
.execute().actionGet();

The aliases API 别名

IndicesAliasesResponse response = client.admin().indices()
.prepareAliases()
.addAlias("news", "n")
.addAlias("library", "elastic_books", 
QueryBuilders.termQuery("title", "elasticsearch"))
.removeAlias("news", "current_news") //移除news索引的别名current_news
.execute().actionGet();

The get aliases API 获取别名

GetAliasesResponse response = client.admin().indices()
.prepareGetAliases("elastic_books", "n")
.execute().actionGet();

The aliases exists API 别名存在

AliasesExistResponse response = client.admin().indices()
.prepareAliasesExist("elastic*", "unknown")  //以elastic开头 || 为unknown 的别名
.execute().actionGet();

The clear cache API 清空缓存

ClearIndicesCacheResponse response = client.admin().indices()
.prepareClearCache("library")
.setFieldDataCache(true)
.setFields("title")   //清空标题缓存
.setQueryCache(true)  //清空过滤器缓存
.execute().actionGet();

The update settings API  更新设置

UpdateSettingsResponse response = client.admin().indices()
.prepareUpdateSettings("library")
.setSettings(Settings.builder()
.put("index.number_of_replicas", 2))  //将副本数更新为2
.execute().actionGet();

The analyze API 分析API

//主要是用来检查在library索引中使用whitespace分词器 + nGram过滤器处理“ElasticSerch Servers”短语的分析处理
AnalyzeResponse response = client.admin().indices()
.prepareAnalyze("library", "ElasticSearch Servers")
.setTokenizer("whitespace")
.setTokenFilters("nGram")
.execute().actionGet();

The put template API 设置模板

PutIndexTemplateResponse response = client.admin().indices()
.preparePutTemplate("my_template")  //my_template模板名称
.setTemplate("product*")   //可以被任何以product开头的索引使用
.setSettings(Settings.builder()
.put("index.number_of_replicas", 2)  //2个副本
.put("index.number_of_shards", 1))   //一个分片
.addMapping("item", XContentFactory.jsonBuilder()
.startObject()
.startObject("item")
.startObject("properties")
.startObject("title")
.field("type", "string")
.endObject()
.endObject()
.endObject()
.endObject())
.execute().actionGet();

The delete template API 删除模板

DeleteIndexTemplateResponse response = client.admin().indices()
.prepareDeleteTemplate("my_*") //删除以my_开头的模板
.execute().actionGet();

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

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