SpringBoot Elasticsearch工具类封装
最近项目需要封装Elasticsearch工具类，特此记录便于日后查阅。
1、maven依赖
org.elasticsearch.plugin
transport-netty4-client
6.7.2
2、application.yml
elasticsearch:
ip: 192.168.217.130
port: 9300
pool: 5
cluster-name: my-es3、配置类
/**
* @Configuration用于定义配置类，可替换xml配置文件/yml文件.
*/
@Configuration
public class ElasticsearchConfig {
private static final Logger LOGGER = LoggerFactory.getLogger(ElasticsearchConfig.class);
@Value("${elasticsearch.ip}")
private String hostName;
/**
* 端口
*/
@Value("${elasticsearch.port}")
private String port;
/**
* 集群名称
*/
@Value("${elasticsearch.cluster-name}")
private String clusterName;
/**
* 连接池
*/
@Value("${elasticsearch.pool}")
private String poolSize;
/**
* Bean name default 函数名字
* @return
*/
@Bean(name = "transportClient")
public TransportClient transportClient() {
LOGGER.info("Elasticsearch初始化开始。。。。。");
TransportClient transportClient = null;
try {
// 配置信息
Settings esSetting = Settings.builder()
.put("cluster.name", clusterName) //集群名字
.put("client.transport.sniff", true)//增加嗅探机制，找到ES集群
.put("thread_pool.search.size", Integer.parseInt(poolSize))//增加线程池个数，暂时设为5
.build();
//配置信息Settings自定义
transportClient = new PreBuiltTransportClient(esSetting);
TransportAddress transportAddress = new TransportAddress(InetAddress.getByName(hostName), Integer.valueOf(port));
transportClient.addTransportAddresses(transportAddress);
} catch (Exception e) {
LOGGER.error("elasticsearch TransportClient create error!!", e);
}
return transportClient;
}
}4、elasticsearch工具类
@Component
public class ElasticsearchUtil {
private static final Logger LOGGER = LoggerFactory.getLogger(ElasticsearchUtil.class);
@Autowired
private TransportClient transportClient;
private static TransportClient client;
/**
* @PostContruct是spring框架的注解
* spring容器初始化的时候执行该方法
*/
@PostConstruct
public void init() {
client = this.transportClient;
}
/**
* 创建索引
*
* @param index
* @return
*/
public static boolean createIndex(String index) {
if(!isIndexExist(index)){
LOGGER.info("Index is not exits!");
}
CreateIndexResponse indexResponse = client.admin().indices().prepareCreate(index).execute().actionGet();
LOGGER.info("执行建立成功？" + indexResponse.isAcknowledged());
return indexResponse.isAcknowledged();
}
/**
* 删除索引
*
* @param index
* @return
*/
public static boolean deleteIndex(String index) {
if(!isIndexExist(index)) {
LOGGER.info("Index is not exits!");
}
DeleteIndexResponse dResponse = client.admin().indices().prepareDelete(index).execute().actionGet();
if (dResponse.isAcknowledged()) {
LOGGER.info("delete index " + index + " successfully!");
} else {
LOGGER.info("Fail to delete index " + index);
}
return dResponse.isAcknowledged();
}
/**
* 判断索引是否存在
*
* @param index
* @return
*/
public static boolean isIndexExist(String index) {
IndicesExistsResponse inExistsResponse = client.admin().indices().exists(new IndicesExistsRequest(index)).actionGet();
if (inExistsResponse.isExists()) {
LOGGER.info("Index [" + index + "] is exist!");
} else {
LOGGER.info("Index [" + index + "] is not exist!");
}
return inExistsResponse.isExists();
}
/**
* 数据添加，正定ID
*
* @param jsonObject 要增加的数据
* @param index 索引，类似数据库
* @param type 类型，类似表
* @param id 数据ID
* @return
*/
public static String addData(JSONObject jsonObject, String index, String type, String id) {
IndexResponse response = client.prepareIndex(index, type, id).setSource(jsonObject).get();
LOGGER.info("addData response status:{},id:{}", response.status().getStatus(), response.getId());
return response.getId();
}
/**
* 数据添加
*
* @param jsonObject 要增加的数据
* @param index 索引，类似数据库
* @param type 类型，类似表
* @return
*/
public static String addData(JSONObject jsonObject, String index, String type) {
return addData(jsonObject, index, type, UUID.randomUUID().toString().replaceAll("-", "").toUpperCase());
}
/**
* 通过ID删除数据
*
* @param index 索引，类似数据库
* @param type 类型，类似表
* @param id 数据ID
*/
public static void deleteDataById(String index, String type, String id) {
DeleteResponse response = client.prepareDelete(index, type, id).execute().actionGet();
LOGGER.info("deleteDataById response status:{},id:{}", response.status().getStatus(), response.getId());
}
/**
* 通过ID 更新数据
*
* @param jsonObject 要增加的数据
* @param index 索引，类似数据库
* @param type 类型，类似表
* @param id 数据ID
* @return
*/
public static void updateDataById(JSONObject jsonObject, String index, String type, String id) {
UpdateRequest updateRequest = new UpdateRequest();
updateRequest.index(index).type(type).id(id).doc(jsonObject);
client.update(updateRequest);
}
/**
* 通过ID获取数据
*
* @param index 索引，类似数据库
* @param type 类型，类似表
* @param id 数据ID
* @param fields 需要显示的字段，逗号分隔（缺省为全部字段）
* @return
*/
public static Map searchDataById(String index, String type, String id, String fields) {
GetRequestBuilder getRequestBuilder = client.prepareGet(index, type, id);
if (StringUtils.isNotEmpty(fields)) {
getRequestBuilder.setFetchSource(fields.split(","), null);
}
GetResponse getResponse = getRequestBuilder.execute().actionGet();
return getResponse.getSource();
}
/**
* 使用分词查询,并分页
*
* @param index 索引名称
* @param type 类型名称,可传入多个type逗号分隔
* @param startPage 当前页
* @param pageSize 每页显示条数
* @param query 查询条件
* @param fields 需要显示的字段，逗号分隔（缺省为全部字段）
* @param sortField 排序字段
* @param highlightField 高亮字段
* @return
*/
public static EsPage searchDataPage(String index, String type, int startPage, int pageSize, QueryBuilder query, String fields, String sortField, String highlightField) {
SearchRequestBuilder searchRequestBuilder = client.prepareSearch(index);
if (StringUtils.isNotEmpty(type)) {
searchRequestBuilder.setTypes(type.split(","));
}
searchRequestBuilder.setSearchType(SearchType.QUERY_THEN_FETCH);
// 需要显示的字段，逗号分隔（缺省为全部字段）
if (StringUtils.isNotEmpty(fields)) {
searchRequestBuilder.setFetchSource(fields.split(","), null);
}
//排序字段
if (StringUtils.isNotEmpty(sortField)) {
searchRequestBuilder.addSort(sortField, SortOrder.DESC);
}
// 高亮（xxx=111,aaa=222）
if (StringUtils.isNotEmpty(highlightField)) {
HighlightBuilder highlightBuilder = new HighlightBuilder();
//highlightBuilder.preTags("");//设置前缀
//highlightBuilder.postTags("");//设置后缀
// 设置高亮字段
highlightBuilder.field(highlightField);
searchRequestBuilder.highlighter(highlightBuilder);
}
//searchRequestBuilder.setQuery(QueryBuilders.matchAllQuery());
searchRequestBuilder.setQuery(query);
// 分页应用
searchRequestBuilder.setFrom(startPage).setSize(pageSize);
// 设置是否按查询匹配度排序
searchRequestBuilder.setExplain(true);
//打印的内容 可以在 Elasticsearch head 和 Kibana 上执行查询
LOGGER.info("\n{}", searchRequestBuilder);
// 执行搜索,返回搜索响应信息
SearchResponse searchResponse = searchRequestBuilder.execute().actionGet();
long totalHits = searchResponse.getHits().totalHits;
long length = searchResponse.getHits().getHits().length;
LOGGER.debug("共查询到[{}]条数据,处理数据条数[{}]", totalHits, length);
if (searchResponse.status().getStatus() == 200) {
// 解析对象
List> sourceList = setSearchResponse(searchResponse, highlightField);
return new EsPage(startPage, pageSize, (int) totalHits, sourceList);
}
return null;
}
/**
* 使用分词查询
*
* @param index 索引名称
* @param type 类型名称,可传入多个type逗号分隔
* @param query 查询条件
* @param size 文档大小限制
* @param fields 需要显示的字段，逗号分隔（缺省为全部字段）
* @param sortField 排序字段
* @param highlightField 高亮字段
* @return
*/
public static List> searchListData(String index, String type, QueryBuilder query, Integer size, String fields, String sortField, String highlightField) {
SearchRequestBuilder searchRequestBuilder = client.prepareSearch(index);
if (StringUtils.isNotEmpty(type)) {
searchRequestBuilder.setTypes(type.split(","));
}
if (StringUtils.isNotEmpty(highlightField)) {
HighlightBuilder highlightBuilder = new HighlightBuilder();
// 设置高亮字段
highlightBuilder.field(highlightField);
searchRequestBuilder.highlighter(highlightBuilder);
}
searchRequestBuilder.setQuery(query);
if (StringUtils.isNotEmpty(fields)) {
searchRequestBuilder.setFetchSource(fields.split(","), null);
}
searchRequestBuilder.setFetchSource(true);
if (StringUtils.isNotEmpty(sortField)) {
searchRequestBuilder.addSort(sortField, SortOrder.DESC);
}
if (size != null && size > 0) {
searchRequestBuilder.setSize(size);
}
//打印的内容 可以在 Elasticsearch head 和 Kibana 上执行查询
LOGGER.info("\n{}", searchRequestBuilder);
SearchResponse searchResponse = searchRequestBuilder.execute().actionGet();
long totalHits = searchResponse.getHits().totalHits;
long length = searchResponse.getHits().getHits().length;
LOGGER.info("共查询到[{}]条数据,处理数据条数[{}]", totalHits, length);
if (searchResponse.status().getStatus() == 200) {
// 解析对象
return setSearchResponse(searchResponse, highlightField);
}
return null;
}
/**
* 高亮结果集 特殊处理
*
* @param searchResponse
* @param highlightField
*/
private static List> setSearchResponse(SearchResponse searchResponse, String highlightField) {
List> sourceList = new ArrayList>();
StringBuffer stringBuffer = new StringBuffer();
for (SearchHit searchHit : searchResponse.getHits().getHits()) {
searchHit.getSourceAsMap().put("id", searchHit.getId());
if (StringUtils.isNotEmpty(highlightField)) {
System.out.println("遍历 高亮结果集，覆盖 正常结果集" + searchHit.getSourceAsMap());
Text[] text = searchHit.getHighlightFields().get(highlightField).getFragments();
if (text != null) {
for (Text str : text) {
stringBuffer.append(str.string());
}
//遍历 高亮结果集，覆盖 正常结果集
searchHit.getSourceAsMap().put(highlightField, stringBuffer.toString());
}
}
sourceList.add(searchHit.getSourceAsMap());
}
return sourceList;
}
} Elasticsearch工具类封装完成。