在使用Elasticsearch之前，先給大家聊一點干貨。
1. ES和solr都是作為全文搜索引擎出現的。都是基于Lucene的搜索服務器。
2. ES不是可靠的存儲系統，不是數據庫，它有丟數據的風險。
3. ES不是實時系統，數據寫入成功只是trans log成功（類似于MySQL的bin log），寫入成功后立刻查詢查不到是正常的。因為數據此刻可能還在內存里而不是進入存儲引擎里。同理，刪除一條數據后也不是馬上消失。寫入何時可查詢？ES內部有一個后臺線程，定時將內存中的一批數據寫入到存儲引擎，此后數據可見。默認后臺線程一秒運行一次。該線程運行的越頻繁，寫入性能越低。運行的頻率越低，寫入的性能越高（不會無限高）。
4. 目前已知的單ES集群可以存儲PB級別的數據，不過這個就非常費勁了。TB級別數據沒壓力。
5. 如果使用ES官方提供的jar包訪問，需要JDK1.7及以上。
6. 使用對應的版本訪問ES server。如果ES server端的版本是1.7，那么請使用ES 1.7的client。如果ES server是2.1，請使用2.1的client。
7. ES索引存在Linux服務器的文件系統之上（背后是文件系統，不是類似于HDFS的分布式文件系統）
8. ES Java client是線程安全的，全局構建一個即可滿足讀寫需求，不要每次都創建ES client。每次訪問ES都構建新的es client即會拋出次異常。
9. 非常不建議使用ES的動態識別和創建的機制，因為很多情況下這并非你所需要。推薦的做法是在寫數據之前仔細的創建mapping。
10. 強烈不建議在ES中使用深分頁。可能會導致集群不可用。
11. ES是靜態分片，一旦分片數在創建索引時確定那么后繼不能修改。
12. ES里提供了type，很多人以為type是物理表，一個type的數據是獨立存儲的；但是在ES內部并不是這樣，type在ES內部僅僅是一個字段。所以在很多數據能分為獨立index的情況下，不要放到一個index里用type去分。只有嵌套類和父子類的情況下使用type才是合理的。
13. ES并不提供原生的中文分詞的能力。有第三方的中文分詞的插件，比如ik等。Ik是個toy分詞器，有嚴肅的分詞需求的話，請在使用ES之前使用獨立的分詞器分好詞后向ES寫入。
14. ES中的index，首先會進行分片，每一個分片數據一般都會有自己的副本數據，ES分配分片的策略會保證同一個分片數據和自己的副本不會分配到同一個節點上。當集群中的某一節點宕機后，ES的master在ping該節點時通過一定的策略會發現該節點不存活；會開啟ES的恢復過程
15. ES沒有update的能力。所有的update都是標記刪除老文檔，然后重新insert一條新文檔。
好了，回歸正題。
首先：
增加我們的spring配置
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<bean id="client" factory-bean="esClientBuilder" factory-method="init" destroy-method="close"/> <bean id="esClientBuilder" class="com.***.EsClientBuilder"> <property name="clusterName" value="集群名稱" /> <property name="nodeIpInfo" value="集群地址" /> </bean> |
其次：
編寫我們的EsClientBuilder類初始化我們的ES參數
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package ***; import java.net.InetAddress; import java.net.UnknownHostException; import java.util.HashMap; import java.util.Map; import org.elasticsearch.client.Client; import org.elasticsearch.client.transport.TransportClient; import org.elasticsearch.common.settings.Settings; import org.elasticsearch.common.transport.InetSocketTransportAddress; public class EsClientBuilder { private String clusterName; private String nodeIpInfo; private TransportClient client; public Client init(){ //設置集群的名字 Settings settings = Settings.settingsBuilder() .put("client.transport.sniff", false) .put("cluster.name", clusterName) .build(); //創建集群client并添加集群節點地址 client = TransportClient.builder().settings(settings).build(); Map<String, Integer> nodeMap = parseNodeIpInfo(); for (Map.Entry<String,Integer> entry : nodeMap.entrySet()){ try { client.addTransportAddress(new InetSocketTransportAddress(InetAddress.getByName(entry.getKey()), entry.getValue())); } catch (UnknownHostException e) { e.printStackTrace(); } } return client; } /** * 解析節點IP信息,多個節點用逗號隔開,IP和端口用冒號隔開 * * @return */ private Map<String, Integer> parseNodeIpInfo(){ String[] nodeIpInfoArr = nodeIpInfo.split(","); Map<String, Integer> map = new HashMap<String, Integer>(nodeIpInfoArr.length); for (String ipInfo : nodeIpInfoArr){ String[] ipInfoArr = ipInfo.split(":"); map.put(ipInfoArr[0], Integer.parseInt(ipInfoArr[1])); } return map; } public String getClusterName() { return clusterName; } public void setClusterName(String clusterName) { this.clusterName = clusterName; } public String getNodeIpInfo() { return nodeIpInfo; } public void setNodeIpInfo(String nodeIpInfo) { this.nodeIpInfo = nodeIpInfo; } } |
最后：
下面我們就可以寫自己的service類了，此類就可以通過es的原生api來操作我們的es（這里我們展示的2.X版本的）
indexName相當于數據庫名，typeName相當于表名
請參考EsServiceImpl.Java文件
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package ***; @Service("esService") public class EsServiceImpl{ @Autowired private Client client; /** * 用docId獲取document * @param indexName * @param typeName * @param docId */ private static void getWithId(String indexName, String typeName, String docId) { //get with id GetResponse gResponse = client.prepareGet(indexName, typeName, docId).execute().actionGet(); System.out.println(gResponse.getIndex()); System.out.println(gResponse.getType()); System.out.println(gResponse.getVersion()); System.out.println(gResponse.isExists()); Map<String, Object> results = gResponse.getSource(); if(results != null) { for(String key : results.keySet()) { Object field = results.get(key); System.out.println(key); System.out.println(field); } } } private static void indexWithBulk(String index, String type) { //指定索引名稱，type名稱和documentId(documentId可選，不設置則系統自動生成)創建document IndexRequest ir1 = new IndexRequest(); String source1 = "{" + "\"user\":\"kimchy\"," + "\"price\":\"6.3\"," + "\"tid\":\"20001\"," + "\"message\":\"Elasticsearch\"" + "}"; ir1.index(index).type(type).id("100").source(source1); IndexRequest ir2 = new IndexRequest(); String source2 = "{" + "\"user\":\"kimchy2\"," + "\"price\":\"7.3\"," + "\"tid\":\"20002\"," + "\"message\":\"Elasticsearch\"" + "}"; ir2.index(index).type(type).id("102").source(source2); IndexRequest ir3 = new IndexRequest(); String source3 = "{" + "\"user\":\"kimchy3\"," + "\"price\":\"8.3\"," + "\"tid\":\"20003\"," + "\"message\":\"Elasticsearch\"" + "}"; ir3.index(index).type(type).id("103").source(source3); BulkResponse response = client.prepareBulk().add(ir1).add(ir2).add(ir3).execute().actionGet(); BulkItemResponse[] responses = response.getItems(); if(responses != null && responses.length > 0) { for(BulkItemResponse r : responses) { String i = r.getIndex(); String t = r.getType(); System.out.println(i+","+t); } } } private static void sumCountSearch(String indexName, String typeName, String sumField, String countField, String searchField, String searchValue) { SumBuilder sb = AggregationBuilders.sum("sumPrice").field(sumField); TermQueryBuilder tb = QueryBuilders.termQuery(searchField, searchValue); SearchResponse sResponse = client.prepareSearch(indexName).setTypes(typeName).setQuery(tb).addAggregation(sb).execute().actionGet(); Map<String, Aggregation> aggMap = sResponse.getAggregations().asMap(); if(aggMap != null && aggMap.size() > 0) { for(String key : aggMap.keySet()) { if("sumPrice".equals(key)) { Sum s = (Sum)aggMap.get(key); System.out.println(key + "," + s.getValue()); } else if("countTid".equals(key)) { StatsBuilder c = (StatsBuilder)aggMap.get(key); System.out.println(key + "," + c.toString()); } } } } private static void updateDoc(String indexName, String typeName, String id) throws IOException, InterruptedException, ExecutionException { UpdateRequest updateRequest = new UpdateRequest(); updateRequest.index(indexName); updateRequest.type(typeName); updateRequest.id(id); updateRequest.doc(jsonBuilder().startObject().field("gender", "male").endObject()); UpdateResponse resp = client.update(updateRequest).get(); resp.getClass(); } private static void scrollSearch(String indexName, String typeName, String... ids) { IdsQueryBuilder qb = QueryBuilders.idsQuery().addIds(ids); SearchResponse sResponse = client.prepareSearch(indexName) .setTypes(typeName) .setSearchType(SearchType.SCAN) .setQuery(qb) .setScroll(new TimeValue(100)) .setSize(50) .execute() .actionGet(); int tShards = sResponse.getTotalShards(); long timeCost = sResponse.getTookInMillis(); int sShards = sResponse.getSuccessfulShards(); System.out.println(tShards+","+timeCost+","+sShards); while (true) { SearchHits hits = sResponse.getHits(); SearchHit[] hitArray = hits.getHits(); for(int i = 0; i < hitArray.length; i++) { SearchHit hit = hitArray[i]; Map<String, Object> fields = hit.getSource(); for(String key : fields.keySet()) { System.out.println(key); System.out.println(fields.get(key)); } } sResponse = client.prepareSearchScroll(sResponse.getScrollId()).setScroll(new TimeValue(100)).execute().actionGet(); if (sResponse.getHits().getHits().length == 0) { break; } } } private static void deleteDocuments(String string, String string2) { SearchResponse sResponse = client.prepareSearch(string) .setTypes(string2) .setSearchType(SearchType.QUERY_THEN_FETCH) .setQuery(QueryBuilders.matchAllQuery()) .setFrom(0).setSize(60) .execute() .actionGet(); SearchHits hits = sResponse.getHits(); long count = hits.getTotalHits(); SearchHit[] hitArray = hits.getHits(); List<String> ids = new ArrayList<String>(hitArray.length); for(int i = 0; i < count; i++) { System.out.println("=================================="); SearchHit hit = hitArray[i]; ids.add(hit.getId()); } for(String id : ids) { DeleteResponse response = client.prepareDelete(string, string2, id).execute().actionGet(); } } private static void dateRangeSearch(String indexName, String typeName, String termName, String from, String to) { // 構建range query //2015-08-20 12:27:11 QueryBuilder qb = QueryBuilders.rangeQuery(termName).from(from).to(to); SearchResponse sResponse = client.prepareSearch(indexName) .setTypes(typeName) // 設置search type // 常用search type用：query_then_fetch // query_then_fetch是先查到相關結構，然后聚合不同node上的結果后排序 .setSearchType(SearchType.QUERY_THEN_FETCH) // 查詢的termName和termvalue .setQuery(qb) // 設置排序field .addSort(termName, SortOrder.DESC) // 設置分頁 .setFrom(0).setSize(60).execute().actionGet(); int tShards = sResponse.getTotalShards(); long timeCost = sResponse.getTookInMillis(); int sShards = sResponse.getSuccessfulShards(); System.out.println(tShards + "," + timeCost + "," + sShards); SearchHits hits = sResponse.getHits(); long count = hits.getTotalHits(); SearchHit[] hitArray = hits.getHits(); for (int i = 0; i < count; i++) { SearchHit hit = hitArray[i]; Map<String, Object> fields = hit.getSource(); for (String key : fields.keySet()) { System.out.println(key); System.out.println(fields.get(key)); } } } private static void dateRangeSearch2(String indexName, String typeName, String termName, String from, String to) { // 構建range query QueryBuilder qb = QueryBuilders.rangeQuery(termName).from(from).to(to); SearchResponse sResponse = client.prepareSearch(indexName) .setTypes(typeName) // 設置search type // 常用search type用：query_then_fetch // query_then_fetch是先查到相關結構，然后聚合不同node上的結果后排序 .setSearchType(SearchType.QUERY_THEN_FETCH) // 查詢的termName和termvalue .setQuery(qb) // 設置排序field .addSort(termName, SortOrder.DESC) // 設置分頁 .setFrom(0).setSize(60).execute().actionGet(); int tShards = sResponse.getTotalShards(); long timeCost = sResponse.getTookInMillis(); int sShards = sResponse.getSuccessfulShards(); System.out.println(tShards + "," + timeCost + "," + sShards); SearchHits hits = sResponse.getHits(); long count = hits.getTotalHits(); SearchHit[] hitArray = hits.getHits(); for (int i = 0; i < count; i++) { SearchHit hit = hitArray[i]; Map<String, Object> fields = hit.getSource(); for (String key : fields.keySet()) { System.out.println(key); System.out.println(fields.get(key)); } } } private static void countWithQuery(String indexName, String typeName, String termName, String termValue, String sortField, String highlightField) { //search result get source CountResponse cResponse = client.prepareCount(indexName) .setTypes(typeName) .setQuery(QueryBuilders.termQuery(termName, termValue)) .execute() .actionGet(); int tShards = cResponse.getTotalShards(); int sShards = cResponse.getSuccessfulShards(); System.out.println(tShards+","+sShards); long count = cResponse.getCount(); } private static void rangeSearchWithOtherSearch(String indexName, String typeName, String termName, String min, String max, String termQueryField) { // 構建range query QueryBuilder qb = QueryBuilders.rangeQuery(termName).from(min).to(max); TermQueryBuilder tb = QueryBuilders.termQuery(termName, termQueryField); BoolQueryBuilder bq = boolQuery().must(qb).must(tb); SearchResponse sResponse = client.prepareSearch(indexName) .setTypes(typeName) // 設置search type // 常用search type用：query_then_fetch // query_then_fetch是先查到相關結構，然后聚合不同node上的結果后排序 .setSearchType(SearchType.QUERY_THEN_FETCH) // 查詢的termName和termvalue .setQuery(bq) // 設置排序field .addSort(termName, SortOrder.DESC) // 設置分頁 .setFrom(0).setSize(60).execute().actionGet(); int tShards = sResponse.getTotalShards(); long timeCost = sResponse.getTookInMillis(); int sShards = sResponse.getSuccessfulShards(); System.out.println(tShards + "," + timeCost + "," + sShards); SearchHits hits = sResponse.getHits(); long count = hits.getTotalHits(); SearchHit[] hitArray = hits.getHits(); for (int i = 0; i < count; i++) { SearchHit hit = hitArray[i]; Map<String, Object> fields = hit.getSource(); for (String key : fields.keySet()) { System.out.println(key); System.out.println(fields.get(key)); } } } private static void termRangeSearch(String indexName, String typeName, String termName, String min, String max, String highlightField) { QueryBuilder qb = QueryBuilders.rangeQuery(termName).from(min).to(max); SearchResponse sResponse = client.prepareSearch(indexName) .setTypes(typeName) // 設置search type // 常用search type用：query_then_fetch // query_then_fetch是先查到相關結構，然后聚合不同node上的結果后排序 .setSearchType(SearchType.QUERY_THEN_FETCH) // 查詢的termName和termvalue .setQuery(qb) // 設置排序field .addSort(termName, SortOrder.DESC) //設置高亮field .addHighlightedField(highlightField) // 設置分頁 .setFrom(0).setSize(60).execute().actionGet(); int tShards = sResponse.getTotalShards(); long timeCost = sResponse.getTookInMillis(); int sShards = sResponse.getSuccessfulShards(); System.out.println(tShards + "," + timeCost + "," + sShards); SearchHits hits = sResponse.getHits(); long count = hits.getTotalHits(); SearchHit[] hitArray = hits.getHits(); for (int i = 0; i < count; i++) { SearchHit hit = hitArray[i]; Map<String, Object> fields = hit.getSource(); for (String key : fields.keySet()) { System.out.println(key); System.out.println(fields.get(key)); } } } private static void sumOneField(String indexName, String typeName, String fieldName) { SumBuilder sb = AggregationBuilders.sum("sum").field(fieldName); //search result get source SearchResponse sResponse = client.prepareSearch(indexName).setTypes(typeName).addAggregation(sb).execute().actionGet(); Map<String, Aggregation> aggMap = sResponse.getAggregations().asMap(); if(aggMap != null && aggMap.size() > 0) { for(String key : aggMap.keySet()) { Sum s = (Sum)aggMap.get(key); System.out.println(s.getValue()); } } } private static void searchWithTermQueryAndRetureSpecifiedFields(String indexName, String typeName, String termName,String termValue, String sortField, String highlightField,String... fields) { SearchRequestBuilder sb = client.prepareSearch(indexName) .setTypes(typeName) // 設置search type // 常用search type用：query_then_fetch // query_then_fetch是先查到相關結構，然后聚合不同node上的結果后排序 .setSearchType(SearchType.QUERY_THEN_FETCH) // 查詢的termName和termvalue .setQuery(QueryBuilders.termQuery(termName, termValue)) // 設置排序field .addSort(sortField, SortOrder.DESC) // 設置高亮field .addHighlightedField(highlightField) // 設置分頁 .setFrom(0).setSize(60); for (String field : fields) { sb.addField(field); } SearchResponse sResponse = sb.execute().actionGet(); SearchHits hits = sResponse.getHits(); long count = hits.getTotalHits(); SearchHit[] hitArray = hits.getHits(); for (int i = 0; i < count; i++) { SearchHit hit = hitArray[i]; Map<String, SearchHitField> fm = hit.getFields(); for (String key : fm.keySet()) { SearchHitField f = fm.get(key); System.out.println(f.getName()); System.out.println(f.getValue()); } } } private static void searchWithIds(String indexName, String typeName, String sortField, String highlightField, String... ids) { IdsQueryBuilder qb = QueryBuilders.idsQuery().addIds(ids); SearchResponse sResponse = client.prepareSearch(indexName) .setTypes(typeName) //設置search type //常用search type用：query_then_fetch //query_then_fetch是先查到相關結構，然后聚合不同node上的結果后排序 .setSearchType(SearchType.QUERY_THEN_FETCH) //查詢的termName和termvalue .setQuery(qb) //設置排序field .addSort(sortField, SortOrder.DESC) //設置高亮field .addHighlightedField(highlightField) //設置分頁 .setFrom(0).setSize(60) .execute() .actionGet(); int tShards = sResponse.getTotalShards(); long timeCost = sResponse.getTookInMillis(); int sShards = sResponse.getSuccessfulShards(); System.out.println(tShards+","+timeCost+","+sShards); SearchHits hits = sResponse.getHits(); long count = hits.getTotalHits(); SearchHit[] hitArray = hits.getHits(); for(int i = 0; i < count; i++) { SearchHit hit = hitArray[i]; Map<String, Object> fields = hit.getSource(); for(String key : fields.keySet()) { System.out.println(key); System.out.println(fields.get(key)); } } } /** * 在index:indexName, type:typeName中做通配符查詢 * @param indexName * @param typeName * @param termName * @param termValue * @param sortField * @param highlightField */ private static void wildcardSearch(String indexName, String typeName, String termName, String termValue, String sortField, String highlightField) { QueryBuilder qb = QueryBuilders.wildcardQuery(termName, termValue); SearchResponse sResponse = client.prepareSearch(indexName) .setTypes(typeName) //設置search type //常用search type用：query_then_fetch //query_then_fetch是先查到相關結構，然后聚合不同node上的結果后排序 .setSearchType(SearchType.QUERY_THEN_FETCH) //查詢的termName和termvalue .setQuery(qb) //設置排序field // .addSort(sortField, SortOrder.DESC) //設置高亮field // .addHighlightedField(highlightField) //設置分頁 .setFrom(0).setSize(60) .execute() .actionGet(); int tShards = sResponse.getTotalShards(); long timeCost = sResponse.getTookInMillis(); int sShards = sResponse.getSuccessfulShards(); System.out.println(tShards+","+timeCost+","+sShards); SearchHits hits = sResponse.getHits(); long count = hits.getTotalHits(); SearchHit[] hitArray = hits.getHits(); for(int i = 0; i < count; i++) { SearchHit hit = hitArray[i]; Map<String, Object> fields = hit.getSource(); for(String key : fields.keySet()) { System.out.println(key); System.out.println(fields.get(key)); } } } /** * 在index:indexName, type:typeName中做模糊查詢 * @param indexName * @param typeName * @param termName * @param termValue * @param sortField * @param highlightField */ private static void fuzzySearch(String indexName, String typeName, String termName, String termValue, String sortField, String highlightField) { QueryBuilder qb = QueryBuilders.fuzzyQuery(termName, termValue); SearchResponse sResponse = client.prepareSearch(indexName) .setTypes(typeName) //設置search type //常用search type用：query_then_fetch //query_then_fetch是先查到相關結構，然后聚合不同node上的結果后排序 .setSearchType(SearchType.QUERY_THEN_FETCH) //查詢的termName和termvalue .setQuery(qb) //設置排序field .addSort(sortField, SortOrder.DESC) //設置高亮field .addHighlightedField(highlightField) //設置分頁 .setFrom(0).setSize(60) .execute() .actionGet(); int tShards = sResponse.getTotalShards(); long timeCost = sResponse.getTookInMillis(); int sShards = sResponse.getSuccessfulShards(); System.out.println(tShards+","+timeCost+","+sShards); SearchHits hits = sResponse.getHits(); long count = hits.getTotalHits(); SearchHit[] hitArray = hits.getHits(); for(int i = 0; i < count; i++) { SearchHit hit = hitArray[i]; Map<String, Object> fields = hit.getSource(); for(String key : fields.keySet()) { System.out.println(key); System.out.println(fields.get(key)); } } } /** * 在index:indexName, type:typeName中做區間查詢 * @param indexName * @param typeName * @param termName * @param min * @param max * @param highlightField */ private static void numericRangeSearch(String indexName, String typeName, String termName, double min, double max, String highlightField) { // 構建range query QueryBuilder qb = QueryBuilders.rangeQuery(termName).from(min).to(max); SearchResponse sResponse = client.prepareSearch(indexName) .setTypes(typeName) // 設置search type // 常用search type用：query_then_fetch // query_then_fetch是先查到相關結構，然后聚合不同node上的結果后排序 .setSearchType(SearchType.QUERY_THEN_FETCH) // 查詢的termName和termvalue .setQuery(qb) // 設置排序field .addSort(termName, SortOrder.DESC) //設置高亮field .addHighlightedField(highlightField) // 設置分頁 .setFrom(0).setSize(60).execute().actionGet(); int tShards = sResponse.getTotalShards(); long timeCost = sResponse.getTookInMillis(); int sShards = sResponse.getSuccessfulShards(); System.out.println(tShards + "," + timeCost + "," + sShards); SearchHits hits = sResponse.getHits(); long count = hits.getTotalHits(); SearchHit[] hitArray = hits.getHits(); for (int i = 0; i < count; i++) { SearchHit hit = hitArray[i]; Map<String, Object> fields = hit.getSource(); for (String key : fields.keySet()) { System.out.println(key); System.out.println(fields.get(key)); } } } /** * 在索引indexName, type為typeName中查找兩個term：term1(termName1, termValue1)和term2(termName2, termValue2) * @param indexName * @param typeName * @param termName1 * @param termValue1 * @param termName2 * @param termValue2 * @param sortField * @param highlightField */ private static void searchWithBooleanQuery(String indexName, String typeName, String termName1, String termValue1, String termName2, String termValue2, String sortField, String highlightField) { //構建boolean query BoolQueryBuilder bq = boolQuery().must(termQuery(termName1, termValue1)).must(termQuery(termName2, termValue2)); SearchResponse sResponse = client.prepareSearch(indexName) .setTypes(typeName) //設置search type //常用search type用：query_then_fetch //query_then_fetch是先查到相關結構，然后聚合不同node上的結果后排序 .setSearchType(SearchType.QUERY_THEN_FETCH) //查詢的termName和termvalue .setQuery(bq) //設置排序field .addSort(sortField, SortOrder.DESC) //設置高亮field .addHighlightedField(highlightField) //設置分頁 .setFrom(0).setSize(60) .execute() .actionGet(); int tShards = sResponse.getTotalShards(); long timeCost = sResponse.getTookInMillis(); int sShards = sResponse.getSuccessfulShards(); System.out.println(tShards+","+timeCost+","+sShards); SearchHits hits = sResponse.getHits(); long count = hits.getTotalHits(); SearchHit[] hitArray = hits.getHits(); for(int i = 0; i < count; i++) { SearchHit hit = hitArray[i]; Map<String, Object> fields = hit.getSource(); for(String key : fields.keySet()) { System.out.println(key); System.out.println(fields.get(key)); } } } /** * 在索引indexName, type為typeName中查找term(termName, termValue) * @param indexName * @param typeName * @param termName * @param termValue * @param sortField * @param highlightField */ private static void searchWithTermQuery(String indexName, String typeName, String termName, String termValue, String sortField, String highlightField) { SearchResponse sResponse = client.prepareSearch(indexName) .setTypes(typeName) //設置search type //常用search type用：query_then_fetch //query_then_fetch是先查到相關結構，然后聚合不同node上的結果后排序 .setSearchType(SearchType.QUERY_THEN_FETCH) //查詢的termName和termvalue .setQuery(QueryBuilders.termQuery(termName, termValue)) //設置排序field // .addSort(sortField, SortOrder.DESC) //設置高亮field // .addHighlightedField(highlightField) //設置分頁 .setFrom(0).setSize(60) .execute() .actionGet(); int tShards = sResponse.getTotalShards(); long timeCost = sResponse.getTookInMillis(); int sShards = sResponse.getSuccessfulShards(); SearchHits hits = sResponse.getHits(); long count = hits.getTotalHits(); SearchHit[] hitArray = hits.getHits(); for(int i = 0; i < count; i++) { System.out.println("=================================="); SearchHit hit = hitArray[i]; Map<String, Object> fields = hit.getSource(); for(String key : fields.keySet()) { System.out.println(key); System.out.println(fields.get(key)); } } } /** * 用java的map構建document */ private static void indexWithMap(String indexName, String typeName) { Map<String, Object> json = new HashMap<String, Object>(); //設置document的field json.put("user","kimchy2"); json.put("postDate",new Date()); json.put("price",6.4); json.put("message","Elasticsearch"); json.put("tid","10002"); json.put("endTime","2015-08-25 09:00:00"); //指定索引名稱，type名稱和documentId(documentId可選，不設置則系統自動生成)創建document IndexResponse response = client.prepareIndex(indexName, typeName, "2").setSource(json).execute().actionGet(); //response中返回索引名稱，type名稱，doc的Id和版本信息 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); } /** * 用java字符串創建document */ private static void indexWithStr(String indexName, String typeName) { //手工構建json字符串 //該document包含user, postData和message三個field String json = "{" + "\"user\":\"kimchy\"," + "\"postDate\":\"2013-01-30\"," + "\"price\":\"6.3\"," + "\"tid\":\"10001\"," + "}"; //指定索引名稱，type名稱和documentId(documentId可選，不設置則系統自動生成)創建document IndexResponse response = client.prepareIndex(indexName, typeName, "1") .setSource(json) .execute() .actionGet(); //response中返回索引名稱，type名稱，doc的Id和版本信息 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); } private static void deleteDocWithId(String indexName, String typeName, String docId) { DeleteResponse dResponse = client.prepareDelete(indexName, typeName, docId).execute().actionGet(); String index = dResponse.getIndex(); String type = dResponse.getType(); String id = dResponse.getId(); long version = dResponse.getVersion(); System.out.println(index+","+type+","+id+","+version); } /** * 創建索引 * 注意：在生產環節中通知es集群的owner去創建index * @param client * @param indexName * @param documentType * @throws IOException */ private static void createIndex(String indexName, String documentType) throws IOException { final IndicesExistsResponse iRes = client.admin().indices().prepareExists(indexName).execute().actionGet(); if (iRes.isExists()) { client.admin().indices().prepareDelete(indexName).execute().actionGet(); } client.admin().indices().prepareCreate(indexName).setSettings(Settings.settingsBuilder().put("number_of_shards", 1).put("number_of_replicas", "0")).execute().actionGet(); XContentBuilder mapping = jsonBuilder() .startObject() .startObject(documentType) // .startObject("_routing").field("path","tid").field("required", "true").endObject() .startObject("_source").field("enabled", "true").endObject() .startObject("_all").field("enabled", "false").endObject() .startObject("properties") .startObject("user") .field("store", true) .field("type", "string") .field("index", "not_analyzed") .endObject() .startObject("message") .field("store", true) .field("type","string") .field("index", "analyzed") .field("analyzer", "standard") .endObject() .startObject("price") .field("store", true) .field("type", "float") .endObject() .startObject("nv1") .field("store", true) .field("type", "integer") .field("index", "no") .field("null_value", 0) .endObject() .startObject("nv2") .field("store", true) .field("type", "integer") .field("index", "not_analyzed") .field("null_value", 10) .endObject() .startObject("tid") .field("store", true) .field("type", "string") .field("index", "not_analyzed") .endObject() .startObject("endTime") .field("type", "date") .field("store", true) .field("index", "not_analyzed") .field("format", "yyyy-MM-dd HH:mm:ss||yyyy-MM-dd'T'HH:mm:ss.SSSZ") .endObject() .startObject("date") .field("type", "date") .endObject() .endObject() .endObject() .endObject(); client.admin().indices() .preparePutMapping(indexName) .setType(documentType) .setSource(mapping) .execute().actionGet(); } } |
以上就是本文的全部內容，希望對大家的學習有所幫助，也希望大家多多支持服務器之家。
原文鏈接：http://blog.csdn.net/antao592/article/details/52872854
