【Elasticsearch系列五】Java API
1.document
1.pom
<dependencies>
<!--es客户端-->
<dependency>
<groupId>org.elasticsearch.client</groupId>
<!-- low:偏向底层。high :高級封装。足够。-->
<artifactId>elasticsearch-rest-high-level-client</artifactId>
<version>7.3.0</version>
<exclusions>
<exclusion>
<groupId>org.elasticsearch</groupId>
<artifactId>elasticsearch</artifactId>
</exclusion>
</exclusions>
</dependency>
<dependency>
<groupId>org.elasticsearch</groupId>
<artifactId>elasticsearch</artifactId>
<version>7.3.0</version>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter</artifactId>
<version>2.0.6.RELEASE</version>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-test</artifactId>
<scope>test</scope>
<version>2.0.6.RELEASE</version>
</dependency>
<dependency>
<groupId>org.projectlombok</groupId>
<artifactId>lombok</artifactId>
<version>1.16.10</version>
</dependency>
</dependencies>
2.yaml
spring:
application:
name: search-service
kwan:
elasticsearch:
hostlist: 47.119.162.180:9200 #多个节点用逗号分隔
3.config
@Configuration
public class ElasticsearchConfig {
@Value("${kwan.elasticsearch.hostlist}")
private String hostlist;
@Bean(destroyMethod = "close")
public RestHighLevelClient restHighLevelClient() {
String[] split = hostlist.split(",");
HttpHost[] httpHostsArray = new HttpHost[split.length];
for (int i = 0; i < split.length; i++) {
String item = split[i];
httpHostsArray[i] = new HttpHost(item.split(":")[0], Integer.parseInt(item.split(":")[1]), "http");
}
return new RestHighLevelClient(RestClient.builder(httpHostsArray));
}
}
4.get
@Slf4j
@SpringBootTest(classes = SearchApplication.class)
@RunWith(SpringRunner.class)
public class TestDocument_01_get {
@Autowired
RestHighLevelClient client;
@Test
public void testGet() throws IOException {
//构建请求
GetRequest getRequest = new GetRequest("test_post", "1");
//添加可选参数
String[] includes = new String[]{"id", "comment"};
String[] excludes = Strings.EMPTY_ARRAY;
FetchSourceContext fetchSourceContext = new FetchSourceContext(true, includes, excludes);
getRequest.fetchSourceContext(fetchSourceContext);
//同步查询
GetResponse getResponse = client.get(getRequest, RequestOptions.DEFAULT);
//获取结果
if (getResponse.isExists()) {
log.info(getResponse.getId());
log.info(String.valueOf(getResponse.getVersion()));
log.info(getResponse.getSourceAsString());//以string获取数据
log.info(String.valueOf(getResponse.getSourceAsBytes()));////以Bytes获取数据
log.info(String.valueOf(getResponse.getSourceAsMap()));//以Map获取数据
} else {
log.info("数据不存在");
}
}
}
@Test
public void testGet() {
//构建请求
GetRequest getRequest = new GetRequest("test_post", "1");
//添加可选参数
String[] includes = new String[]{"id", "title"};
String[] excludes = Strings.EMPTY_ARRAY;
FetchSourceContext fetchSourceContext = new FetchSourceContext(true, includes, excludes);
getRequest.fetchSourceContext(fetchSourceContext);
//设置监听器
ActionListener<GetResponse> listener = new ActionListener<GetResponse>() {
//成功时
public void onResponse(GetResponse getResponse) {
log.info(getResponse.getId());
log.info(String.valueOf(getResponse.getVersion()));
log.info(getResponse.getSourceAsString());
}
//失败时
public void onFailure(Exception e) {
e.printStackTrace();
log.info("数据获取异常");
}
};
//异步查询
client.getAsync(getRequest, RequestOptions.DEFAULT, listener);
try {
Thread.sleep(5000);
} catch (InterruptedException e) {
e.printStackTrace();
}
}
5.add
@Test
public void testAdd() throws IOException {
//构建请求
IndexRequest request = new IndexRequest("test_post");
request.id("5");
//构建文档数据
String jsonString = "{\n" +
" \"user\":\"tomas\",\n" +
" \"postDate\":\"2019-07-18\",\n" +
" \"message\":\"trying out es1\"\n" +
"}";
request.source(jsonString, XContentType.JSON);
//同步
IndexResponse indexResponse = client.index(request, RequestOptions.DEFAULT);
//获取结果
log.info(indexResponse.getIndex());
log.info(indexResponse.getId());
log.info(String.valueOf(indexResponse.getResult()));
if (indexResponse.getResult() == DocWriteResponse.Result.CREATED) {
DocWriteResponse.Result result = indexResponse.getResult();
log.info("CREATE" + result);
} else if (indexResponse.getResult() == DocWriteResponse.Result.UPDATED) {
DocWriteResponse.Result result = indexResponse.getResult();
log.info("UPDATED" + result);
} else {
log.info("其他操作");
}
//获取分片信息
ReplicationResponse.ShardInfo shardInfo = indexResponse.getShardInfo();
if (shardInfo.getTotal() != shardInfo.getSuccessful()) {
log.info("处理成功的分片数少于总分片!");
}
if (shardInfo.getFailed() > 0) {
for (ReplicationResponse.ShardInfo.Failure failure : shardInfo.getFailures()) {
String reason = failure.reason();//每一个错误的原因
log.info(reason);
}
}
}
@Test
public void testAdd() throws IOException {
//构建请求
IndexRequest request = new IndexRequest("test_post");
request.id("6");
//构建文档数据
Map<String, Object> jsonMap = new HashMap<String, Object>();
jsonMap.put("user", "tomas");
jsonMap.put("postDate", "2019-07-18");
jsonMap.put("message", "trying out es1");
request.source(jsonMap);
//同步执行
IndexResponse indexResponse = client.index(request, RequestOptions.DEFAULT);
//获取结果
log.info(indexResponse.getIndex());
log.info(indexResponse.getId());
log.info(String.valueOf(indexResponse.getResult()));
if (indexResponse.getResult() == DocWriteResponse.Result.CREATED) {
DocWriteResponse.Result result = indexResponse.getResult();
log.info("CREATE" + result);
} else if (indexResponse.getResult() == DocWriteResponse.Result.UPDATED) {
DocWriteResponse.Result result = indexResponse.getResult();
log.info("UPDATED" + result);
}
ReplicationResponse.ShardInfo shardInfo = indexResponse.getShardInfo();
if (shardInfo.getTotal() != shardInfo.getSuccessful()) {
log.info("处理成功的分片数少于总分片!");
}
if (shardInfo.getFailed() > 0) {
for (ReplicationResponse.ShardInfo.Failure failure : shardInfo.getFailures()) {
String reason = failure.reason();//每一个错误的原因
log.info(reason);
}
}
}
@Test
public void testAdd() throws IOException {
//构建请求
IndexRequest request = new IndexRequest("test_post");
request.id("7");
//构建文档数据
XContentBuilder builder = XContentFactory.jsonBuilder();
builder.startObject();
{
builder.field("user", "tomas");
builder.field("message", "trying out es1");
builder.timeField("postDate", "2019-07-18");
}
builder.endObject();
request.source(builder);
//同步执行
IndexResponse indexResponse = client.index(request, RequestOptions.DEFAULT);
//获取结果
log.info(indexResponse.getIndex());
log.info(indexResponse.getId());
log.info(String.valueOf(indexResponse.getResult()));
if (indexResponse.getResult() == DocWriteResponse.Result.CREATED) {
DocWriteResponse.Result result = indexResponse.getResult();
log.info("CREATE" + result);
} else if (indexResponse.getResult() == DocWriteResponse.Result.UPDATED) {
DocWriteResponse.Result result = indexResponse.getResult();
log.info("UPDATED" + result);
}
ReplicationResponse.ShardInfo shardInfo = indexResponse.getShardInfo();
if (shardInfo.getTotal() != shardInfo.getSuccessful()) {
log.info("处理成功的分片数少于总分片!");
}
if (shardInfo.getFailed() > 0) {
for (ReplicationResponse.ShardInfo.Failure failure : shardInfo.getFailures()) {
String reason = failure.reason();//每一个错误的原因
log.info(reason);
}
}
}
@Test
public void testAdd() throws IOException {
//构建请求
IndexRequest request = new IndexRequest("test_post");
request.id("9");
//构建文档数据
request.source("user", "tomas",
"message", "trying out es1",
"postDate", "2019-07-18");
//同步执行
IndexResponse indexResponse = client.index(request, RequestOptions.DEFAULT);
//获取结果
log.info(indexResponse.getIndex());
log.info(indexResponse.getId());
log.info(String.valueOf(indexResponse.getResult()));
if (indexResponse.getResult() == DocWriteResponse.Result.CREATED) {
DocWriteResponse.Result result = indexResponse.getResult();
log.info("CREATE" + result);
} else if (indexResponse.getResult() == DocWriteResponse.Result.UPDATED) {
DocWriteResponse.Result result = indexResponse.getResult();
log.info("UPDATED" + result);
}
ReplicationResponse.ShardInfo shardInfo = indexResponse.getShardInfo();
if (shardInfo.getTotal() != shardInfo.getSuccessful()) {
log.info("处理成功的分片数少于总分片!");
}
if (shardInfo.getFailed() > 0) {
for (ReplicationResponse.ShardInfo.Failure failure : shardInfo.getFailures()) {
String reason = failure.reason();//每一个错误的原因
log.info(reason);
}
}
}
@Test
public void testAdd() throws IOException {
//构建请求
IndexRequest request = new IndexRequest("test_post");
request.id("10");
//构建文档数据
String jsonString = "{\n" +
" \"user\":\"tomas\",\n" +
" \"postDate\":\"2019-07-18\",\n" +
" \"message\":\"trying out es1\"\n" +
"}";
request.source(jsonString, XContentType.JSON);
//设置超时时间
request.timeout("1s");
request.timeout(TimeValue.timeValueSeconds(1));
//手动维护版本号
request.version(4);
request.versionType(VersionType.EXTERNAL);
//同步执行
IndexResponse indexResponse = client.index(request, RequestOptions.DEFAULT);
//获取结果
log.info(indexResponse.getIndex());
log.info(indexResponse.getId());
log.info(String.valueOf(indexResponse.getResult()));
if (indexResponse.getResult() == DocWriteResponse.Result.CREATED) {
DocWriteResponse.Result result = indexResponse.getResult();
log.info("CREATE" + result);
} else if (indexResponse.getResult() == DocWriteResponse.Result.UPDATED) {
DocWriteResponse.Result result = indexResponse.getResult();
log.info("UPDATED" + result);
}
ReplicationResponse.ShardInfo shardInfo = indexResponse.getShardInfo();
if (shardInfo.getTotal() != shardInfo.getSuccessful()) {
log.info("处理成功的分片数少于总分片!");
}
if (shardInfo.getFailed() > 0) {
for (ReplicationResponse.ShardInfo.Failure failure : shardInfo.getFailures()) {
String reason = failure.reason();//每一个错误的原因
log.info(reason);
}
}
}
6.update
@Test
public void testUpdate() throws IOException {
//创建请求
UpdateRequest request = new UpdateRequest("test_post", "5");
Map<String, Object> jsonMap = new HashMap<>();
jsonMap.put("user", "tomas Lee");
request.doc(jsonMap);
request.timeout("1s");
request.retryOnConflict(3);//重试次数
//同步执行
UpdateResponse updateResponse = client.update(request, RequestOptions.DEFAULT);
//获取结果
updateResponse.getId();
updateResponse.getIndex();
//判断结果
if (updateResponse.getResult() == DocWriteResponse.Result.CREATED) {
DocWriteResponse.Result result = updateResponse.getResult();
log.info("CREATED:" + result);
} else if (updateResponse.getResult() == DocWriteResponse.Result.UPDATED) {
DocWriteResponse.Result result = updateResponse.getResult();
log.info("UPDATED:" + result);
} else if (updateResponse.getResult() == DocWriteResponse.Result.DELETED) {
DocWriteResponse.Result result = updateResponse.getResult();
log.info("DELETED:" + result);
} else if (updateResponse.getResult() == DocWriteResponse.Result.NOOP) {
//没有操作
DocWriteResponse.Result result = updateResponse.getResult();
log.info("NOOP:" + result);
}
}
7.delete
@Test
public void testDelete() throws IOException {
//创建请求
DeleteRequest request = new DeleteRequest("test_post", "3");
//执行
DeleteResponse deleteResponse = client.delete(request, RequestOptions.DEFAULT);
//获取结果
deleteResponse.getId();
deleteResponse.getIndex();
DocWriteResponse.Result result = deleteResponse.getResult();
log.info(result.toString());
}
8.bulk
@Test
public void testBulk() throws IOException {
//创建请求
BulkRequest request = new BulkRequest();
request.add(new IndexRequest("post").id("1").source(XContentType.JSON, "field", "1"));
request.add(new IndexRequest("post").id("2").source(XContentType.JSON, "field", "2"));
request.add(new UpdateRequest("post", "1").doc(XContentType.JSON, "field", "3"));
request.add(new DeleteRequest("post").id("2"));
//执行
BulkResponse bulkResponse = client.bulk(request, RequestOptions.DEFAULT);
//获取结果
for (BulkItemResponse itemResponse : bulkResponse) {
DocWriteResponse response = itemResponse.getResponse();
switch (itemResponse.getOpType()) {
case INDEX:
IndexResponse indexResponse = (IndexResponse) response;
log.info("INDEX:" + indexResponse.getResult());
break;
case CREATE:
IndexResponse createResponse = (IndexResponse) response;
log.info("CREATE:" + createResponse.getResult());
break;
case UPDATE:
UpdateResponse updateResponse = (UpdateResponse) response;
log.info("UPDATE:" + updateResponse.getResult());
break;
case DELETE:
DeleteResponse deleteResponse = (DeleteResponse) response;
log.info("DELETE:" + deleteResponse.getResult());
break;
}
}
}
2.index
1.创建索引
@SpringBootTest
@RunWith(SpringRunner.class)
public class TestIndex_01_Create {
@Autowired
private RestHighLevelClient client;
//创建索引
@Test
public void testCreateIndex() throws IOException {
// PUT /my_index
// {
// "settings": {
// "number_of_shards": 1,
// "number_of_replicas": 1
// },
// "mappings": {
// "properties": {
// "field1":{
// "type": "text"
// },
// "field2":{
// "type": "text"
// }
// }
// },
// "aliases": {
// "default_index": {}
// }
// }
//创建索引对象
CreateIndexRequest createIndexRequest = new CreateIndexRequest("itheima_book");
//设置参数
createIndexRequest.settings(Settings.builder().put("number_of_shards", "1").put("number_of_replicas", "0"));
//指定映射1
createIndexRequest.mapping(" {\n" +
" \t\"properties\": {\n" +
" \"name\":{\n" +
" \"type\":\"keyword\"\n" +
" },\n" +
" \"description\": {\n" +
" \"type\": \"text\"\n" +
" },\n" +
" \"price\":{\n" +
" \"type\":\"long\"\n" +
" },\n" +
" \"pic\":{\n" +
" \"type\":\"text\",\n" +
" \"index\":false\n" +
" }\n" +
" \t}\n" +
"}", XContentType.JSON);
//设置别名
createIndexRequest.alias(new Alias("itheima_index_new"));
// 额外参数
//设置超时时间
createIndexRequest.setTimeout(TimeValue.timeValueMinutes(2));
//设置主节点超时时间
createIndexRequest.setMasterTimeout(TimeValue.timeValueMinutes(1));
//在创建索引API返回响应之前等待的活动分片副本的数量,以int形式表示
createIndexRequest.waitForActiveShards(ActiveShardCount.from(2));
createIndexRequest.waitForActiveShards(ActiveShardCount.DEFAULT);
//操作索引的客户端
IndicesClient indices = client.indices();
//执行创建索引库
CreateIndexResponse createIndexResponse = indices.create(createIndexRequest, RequestOptions.DEFAULT);
//得到响应
boolean acknowledged = createIndexResponse.isAcknowledged();
//得到响应 指示是否在超时前为索引中的每个分片启动了所需数量的碎片副本
boolean shardsAcknowledged = createIndexResponse.isShardsAcknowledged();
System.out.println("acknowledged:" + acknowledged);
System.out.println("shardsAcknowledged:" + shardsAcknowledged);
}
}
@SpringBootTest
@RunWith(SpringRunner.class)
public class TestIndex_04_Async {
@Autowired
private RestHighLevelClient client;
//创建索引异步方式
@Test
public void testCreateIndexAsync() {
//创建索引对象
CreateIndexRequest createIndexRequest = new CreateIndexRequest("itheima_book");
//设置参数
createIndexRequest.settings(Settings.builder().put("number_of_shards", "1").put("number_of_replicas", "0"));
//指定映射1
createIndexRequest.mapping(" {\n" +
" \t\"properties\": {\n" +
" \"name\":{\n" +
" \"type\":\"keyword\"\n" +
" },\n" +
" \"description\": {\n" +
" \"type\": \"text\"\n" +
" },\n" +
" \"price\":{\n" +
" \"type\":\"long\"\n" +
" },\n" +
" \"pic\":{\n" +
" \"type\":\"text\",\n" +
" \"index\":false\n" +
" }\n" +
" \t}\n" +
"}", XContentType.JSON);
//设置别名
createIndexRequest.alias(new Alias("itheima_index_new"));
// 额外参数
//设置超时时间
createIndexRequest.setTimeout(TimeValue.timeValueMinutes(2));
//设置主节点超时时间
createIndexRequest.setMasterTimeout(TimeValue.timeValueMinutes(1));
//在创建索引API返回响应之前等待的活动分片副本的数量,以int形式表示
createIndexRequest.waitForActiveShards(ActiveShardCount.from(2));
createIndexRequest.waitForActiveShards(ActiveShardCount.DEFAULT);
//操作索引的客户端
IndicesClient indices = client.indices();
//执行创建索引库
ActionListener<CreateIndexResponse> listener = new ActionListener<CreateIndexResponse>() {
@Override
public void onResponse(CreateIndexResponse createIndexResponse) {
//得到响应(全部)
boolean acknowledged = createIndexResponse.isAcknowledged();
//得到响应 指示是否在超时前为索引中的每个分片启动了所需数量的碎片副本
boolean shardsAcknowledged = createIndexResponse.isShardsAcknowledged();
System.out.println("acknowledged:" + acknowledged);
System.out.println("shardsAcknowledged:" + shardsAcknowledged);
}
@Override
public void onFailure(Exception e) {
e.printStackTrace();
}
};
client.indices().createAsync(createIndexRequest, RequestOptions.DEFAULT, listener);
try {
Thread.sleep(5000);
} catch (InterruptedException e) {
e.printStackTrace();
}
}
}
2.删除索引
@Test
public void testDeleteIndex() throws IOException {
//创建删除索引请求
DeleteIndexRequest deleteIndexRequest = new DeleteIndexRequest("itheima_book");
// 执行
AcknowledgedResponse delete = client.indices().delete(deleteIndexRequest, RequestOptions.DEFAULT);
//得到相应
boolean acknowledged = delete.isAcknowledged();
System.out.println("acknowledged:" + acknowledged);
}
3.是否存在索引
@Test
public void testExistIndex() throws IOException {
GetIndexRequest request = new GetIndexRequest("itheima_book");
//参数
request.local(false);//从主节点返回本地索引信息状态
request.humanReadable(true);//以适合人类的格式返回
request.includeDefaults(false);//是否返回每个索引的所有默认配置
boolean exists = client.indices().exists(request, RequestOptions.DEFAULT);
System.out.println("exists:" + exists);
}
4.关闭索引
@Test
public void testCloseIndex() throws IOException {
CloseIndexRequest request = new CloseIndexRequest("itheima_book");
AcknowledgedResponse close = client.indices().close(request, RequestOptions.DEFAULT);
boolean acknowledged = close.isAcknowledged();
System.out.println("acknowledged:" + acknowledged);
}
5.打开索引
@Test
public void testOpenIndex() throws IOException {
OpenIndexRequest request = new OpenIndexRequest("itheima_book");
OpenIndexResponse open = client.indices().open(request, RequestOptions.DEFAULT);
boolean acknowledged = open.isAcknowledged();
System.out.println("acknowledged:" + acknowledged);
}
3.search
1.all
@SpringBootTest
@RunWith(SpringRunner.class)
public class TestSearch_01_all {
@Autowired
RestHighLevelClient client;
@Test
public void testSearchAll() throws IOException {
// GET book/_search
// {
// "query": {
// "match_all": {}
// }
// }
//1构建搜索请求
SearchRequest searchRequest = new SearchRequest("book");
SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();
searchSourceBuilder.query(QueryBuilders.matchAllQuery());
//获取某些字段
searchSourceBuilder.fetchSource(new String[]{"name"}, new String[]{});
searchRequest.source(searchSourceBuilder);
//2执行搜索
SearchResponse searchResponse = client.search(searchRequest, RequestOptions.DEFAULT);
//3获取结果
SearchHits hits = searchResponse.getHits();
//数据数据
SearchHit[] searchHits = hits.getHits();
System.out.println("--------------------------");
for (SearchHit hit : searchHits) {
String id = hit.getId();
float score = hit.getScore();
Map<String, Object> sourceAsMap = hit.getSourceAsMap();
String name = (String) sourceAsMap.get("name");
String description = (String) sourceAsMap.get("description");
Double price = (Double) sourceAsMap.get("price");
System.out.println("id:" + id);
System.out.println("score:" + score);
System.out.println("name:" + name);
System.out.println("description:" + description);
System.out.println("price:" + price);
System.out.println("==========================");
}
}
}
2.page
@Test
public void testSearchPage() throws IOException {
// GET book/_search
// {
// "query": {
// "match_all": {}
// },
// "from": 0,
// "size": 2
// }
//1构建搜索请求
SearchRequest searchRequest = new SearchRequest("book");
SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();
searchSourceBuilder.query(QueryBuilders.matchAllQuery());
//第几页
int page = 1;
//每页几个
int size = 2;
//下标计算
int from = (page - 1) * size;
searchSourceBuilder.from(from);
searchSourceBuilder.size(size);
searchRequest.source(searchSourceBuilder);
//2执行搜索
SearchResponse searchResponse = client.search(searchRequest, RequestOptions.DEFAULT);
//3获取结果
SearchHits hits = searchResponse.getHits();
//数据数据
SearchHit[] searchHits = hits.getHits();
System.out.println("--------------------------");
for (SearchHit hit : searchHits) {
String id = hit.getId();
float score = hit.getScore();
Map<String, Object> sourceAsMap = hit.getSourceAsMap();
String name = (String) sourceAsMap.get("name");
String description = (String) sourceAsMap.get("description");
Double price = (Double) sourceAsMap.get("price");
System.out.println("id:" + id);
System.out.println("name:" + name);
System.out.println("description:" + description);
System.out.println("price:" + price);
System.out.println("==========================");
}
}
3.ids
@Test
public void testSearchIds() throws IOException {
// GET /book/_search
// {
// "query": {
// "ids" : {
// "values" : ["1", "4", "100"]
// }
// }
// }
//1构建搜索请求
SearchRequest searchRequest = new SearchRequest("book");
SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();
searchSourceBuilder.query(QueryBuilders.idsQuery().addIds("1", "4", "100"));
searchRequest.source(searchSourceBuilder);
//2执行搜索
SearchResponse searchResponse = client.search(searchRequest, RequestOptions.DEFAULT);
//3获取结果
SearchHits hits = searchResponse.getHits();
//数据数据
SearchHit[] searchHits = hits.getHits();
System.out.println("--------------------------");
for (SearchHit hit : searchHits) {
String id = hit.getId();
float score = hit.getScore();
Map<String, Object> sourceAsMap = hit.getSourceAsMap();
String name = (String) sourceAsMap.get("name");
String description = (String) sourceAsMap.get("description");
Double price = (Double) sourceAsMap.get("price");
System.out.println("id:" + id);
System.out.println("name:" + name);
System.out.println("description:" + description);
System.out.println("price:" + price);
System.out.println("==========================");
}
}
4.match
@Test
public void testSearchMatch() throws IOException {
// GET /book/_search
// {
// "query": {
// "match": {
// "description": "java程序员"
// }
// }
// }
//1构建搜索请求
SearchRequest searchRequest = new SearchRequest("book");
SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();
searchSourceBuilder.query(QueryBuilders.matchQuery("description", "java程序员"));
searchRequest.source(searchSourceBuilder);
//2执行搜索
SearchResponse searchResponse = client.search(searchRequest, RequestOptions.DEFAULT);
//3获取结果
SearchHits hits = searchResponse.getHits();
//数据数据
SearchHit[] searchHits = hits.getHits();
System.out.println("--------------------------");
for (SearchHit hit : searchHits) {
String id = hit.getId();
float score = hit.getScore();
Map<String, Object> sourceAsMap = hit.getSourceAsMap();
String name = (String) sourceAsMap.get("name");
String description = (String) sourceAsMap.get("description");
Double price = (Double) sourceAsMap.get("price");
System.out.println("id:" + id);
System.out.println("name:" + name);
System.out.println("description:" + description);
System.out.println("price:" + price);
System.out.println("==========================");
}
}
5.term
@Test
public void testSearchTerm() throws IOException {
//
// GET /book/_search
// {
// "query": {
// "term": {
// "description": "java程序员"
// }
// }
// }
//1构建搜索请求
SearchRequest searchRequest = new SearchRequest("book");
SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();
searchSourceBuilder.query(QueryBuilders.termQuery("description", "java程序员"));
searchRequest.source(searchSourceBuilder);
//2执行搜索
SearchResponse searchResponse = client.search(searchRequest, RequestOptions.DEFAULT);
//3获取结果
SearchHits hits = searchResponse.getHits();
//数据数据
SearchHit[] searchHits = hits.getHits();
System.out.println("--------------------------");
for (SearchHit hit : searchHits) {
String id = hit.getId();
float score = hit.getScore();
Map<String, Object> sourceAsMap = hit.getSourceAsMap();
String name = (String) sourceAsMap.get("name");
String description = (String) sourceAsMap.get("description");
Double price = (Double) sourceAsMap.get("price");
System.out.println("id:" + id);
System.out.println("name:" + name);
System.out.println("description:" + description);
System.out.println("price:" + price);
System.out.println("==========================");
}
}
6.multi_match
@Test
public void testSearchMultiMatch() throws IOException {
// GET /book/_search
// {
// "query": {
// "multi_match": {
// "query": "java程序员",
// "fields": ["name", "description"]
// }
// }
// }
//1构建搜索请求
SearchRequest searchRequest = new SearchRequest("book");
SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();
searchSourceBuilder.query(QueryBuilders.multiMatchQuery("java程序员", "name", "description"));
searchRequest.source(searchSourceBuilder);
//2执行搜索
SearchResponse searchResponse = client.search(searchRequest, RequestOptions.DEFAULT);
//3获取结果
SearchHits hits = searchResponse.getHits();
//数据数据
SearchHit[] searchHits = hits.getHits();
System.out.println("--------------------------");
for (SearchHit hit : searchHits) {
String id = hit.getId();
float score = hit.getScore();
Map<String, Object> sourceAsMap = hit.getSourceAsMap();
String name = (String) sourceAsMap.get("name");
String description = (String) sourceAsMap.get("description");
Double price = (Double) sourceAsMap.get("price");
System.out.println("id:" + id);
System.out.println("name:" + name);
System.out.println("description:" + description);
System.out.println("price:" + price);
System.out.println("==========================");
}
}
7.bool
@Test
public void testSearchBool() throws IOException {
// GET /book/_search
// {
// "query": {
// "bool": {
// "must": [
// {
// "multi_match": {
// "query": "java程序员",
// "fields": ["name","description"]
// }
// }
// ],
// "should": [
// {
// "match": {
// "studymodel": "201001"
// }
// }
// ]
// }
// }
// }
//1构建搜索请求
SearchRequest searchRequest = new SearchRequest("book");
SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();
//构建multiMatch请求
MultiMatchQueryBuilder multiMatchQueryBuilder = QueryBuilders.multiMatchQuery("java程序员", "name", "description");
//构建match请求
MatchQueryBuilder matchQueryBuilder = QueryBuilders.matchQuery("studymodel", "201001");
BoolQueryBuilder boolQueryBuilder = QueryBuilders.boolQuery();
boolQueryBuilder.must(multiMatchQueryBuilder);
boolQueryBuilder.should(matchQueryBuilder);
searchSourceBuilder.query(boolQueryBuilder);
searchRequest.source(searchSourceBuilder);
//2执行搜索
SearchResponse searchResponse = client.search(searchRequest, RequestOptions.DEFAULT);
//3获取结果
SearchHits hits = searchResponse.getHits();
//数据数据
SearchHit[] searchHits = hits.getHits();
System.out.println("--------------------------");
for (SearchHit hit : searchHits) {
String id = hit.getId();
float score = hit.getScore();
Map<String, Object> sourceAsMap = hit.getSourceAsMap();
String name = (String) sourceAsMap.get("name");
String description = (String) sourceAsMap.get("description");
Double price = (Double) sourceAsMap.get("price");
System.out.println("id:" + id);
System.out.println("name:" + name);
System.out.println("description:" + description);
System.out.println("price:" + price);
System.out.println("==========================");
}
}
8.filter
@Test
public void testSearchFilter() throws IOException {
// GET /book/_search
// {
// "query": {
// "bool": {
// "must": [
// {
// "multi_match": {
// "query": "java程序员",
// "fields": ["name","description"]
// }
// }
// ],
// "should": [
// {
// "match": {
// "studymodel": "201001"
// }
// }
// ],
// "filter": {
// "range": {
// "price": {
// "gte": 50,
// "lte": 90
// }
// }
//
// }
// }
// }
// }
//1构建搜索请求
SearchRequest searchRequest = new SearchRequest("book");
SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();
//构建multiMatch请求
MultiMatchQueryBuilder multiMatchQueryBuilder = QueryBuilders.multiMatchQuery("java程序员", "name", "description");
//构建match请求
MatchQueryBuilder matchQueryBuilder = QueryBuilders.matchQuery("studymodel", "201001");
BoolQueryBuilder boolQueryBuilder = QueryBuilders.boolQuery();
boolQueryBuilder.must(multiMatchQueryBuilder);
boolQueryBuilder.should(matchQueryBuilder);
boolQueryBuilder.filter(QueryBuilders.rangeQuery("price").gte(50).lte(90));
searchSourceBuilder.query(boolQueryBuilder);
searchRequest.source(searchSourceBuilder);
//2执行搜索
SearchResponse searchResponse = client.search(searchRequest, RequestOptions.DEFAULT);
//3获取结果
SearchHits hits = searchResponse.getHits();
//数据数据
SearchHit[] searchHits = hits.getHits();
System.out.println("--------------------------");
for (SearchHit hit : searchHits) {
String id = hit.getId();
float score = hit.getScore();
Map<String, Object> sourceAsMap = hit.getSourceAsMap();
String name = (String) sourceAsMap.get("name");
String description = (String) sourceAsMap.get("description");
Double price = (Double) sourceAsMap.get("price");
System.out.println("id:" + id);
System.out.println("name:" + name);
System.out.println("description:" + description);
System.out.println("price:" + price);
System.out.println("==========================");
}
}
9.sort
@Test
public void testSearchSort() throws IOException {
// GET /book/_search
// {
// "query": {
// "bool": {
// "must": [
// {
// "multi_match": {
// "query": "java程序员",
// "fields": ["name","description"]
// }
// }
// ],
// "should": [
// {
// "match": {
// "studymodel": "201001"
// }
// }
// ],
// "filter": {
// "range": {
// "price": {
// "gte": 50,
// "lte": 90
// }
// }
//
// }
// }
// },
// "sort": [
// {
// "price": {
// "order": "asc"
// }
// }
// ]
// }
//1构建搜索请求
SearchRequest searchRequest = new SearchRequest("book");
SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();
//构建multiMatch请求
MultiMatchQueryBuilder multiMatchQueryBuilder = QueryBuilders.multiMatchQuery("java程序员", "name", "description");
//构建match请求
MatchQueryBuilder matchQueryBuilder = QueryBuilders.matchQuery("studymodel", "201001");
BoolQueryBuilder boolQueryBuilder = QueryBuilders.boolQuery();
boolQueryBuilder.must(multiMatchQueryBuilder);
boolQueryBuilder.should(matchQueryBuilder);
boolQueryBuilder.filter(QueryBuilders.rangeQuery("price").gte(50).lte(90));
searchSourceBuilder.query(boolQueryBuilder);
//按照价格升序
searchSourceBuilder.sort("price", SortOrder.ASC);
searchRequest.source(searchSourceBuilder);
//2执行搜索
SearchResponse searchResponse = client.search(searchRequest, RequestOptions.DEFAULT);
//3获取结果
SearchHits hits = searchResponse.getHits();
//数据数据
SearchHit[] searchHits = hits.getHits();
System.out.println("--------------------------");
for (SearchHit hit : searchHits) {
String id = hit.getId();
float score = hit.getScore();
Map<String, Object> sourceAsMap = hit.getSourceAsMap();
String name = (String) sourceAsMap.get("name");
String description = (String) sourceAsMap.get("description");
Double price = (Double) sourceAsMap.get("price");
System.out.println("id:" + id);
System.out.println("name:" + name);
System.out.println("description:" + description);
System.out.println("price:" + price);
System.out.println("==========================");
}
}
4.sql 功能
前提 es 拥有白金版功能:
kibana 中管理-》许可管理 开启白金版试用
导入依赖:
<dependency>
<groupId>org.elasticsearch.plugin</groupId>
<artifactId>x-pack-sql-jdbc</artifactId>
<version>7.3.0</version>
</dependency>
<repositories>
<repository>
<id>elastic.co</id>
<url>https://artifacts.elastic.co/maven</url>
</repository>
</repositories>
代码:
public class TestJdbc {
public static void main(String[] args) {
//1创建连接
try {
Connection connection = DriverManager.getConnection("jdbc:es://http://localhost:9200");
//2创建statement
Statement statement = connection.createStatement();
//3执行sql语句
ResultSet resultSet = statement.executeQuery("SELECT * FROM tvs");
//4获取结果
while (resultSet.next()) {
System.out.println(resultSet.getString(1));
System.out.println(resultSet.getString(2));
System.out.println(resultSet.getString(3));
System.out.println(resultSet.getString(4));
System.out.println("======================================");
}
} catch (SQLException e) {
e.printStackTrace();
}
}
}
5.学成在线站内搜索模块
1.mysql 导入学生数据
/*
Navicat Premium Data Transfer
Source Server : local
Source Server Type : MySQL
Source Server Version : 50721
Source Host : localhost:3306
Source Schema : xc_course
Target Server Type : MySQL
Target Server Version : 50721
File Encoding : 65001
Date: 10/11/2019 02:50:34
*/
SET
NAMES utf8mb4;
SET
FOREIGN_KEY_CHECKS = 0;
-- ----------------------------
-- Table structure for course_pub
-- ----------------------------
DROP TABLE IF EXISTS `course_pub`;
CREATE TABLE `course_pub` (
`id` varchar(32) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL COMMENT '主键',
`name` varchar(32) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL COMMENT '课程名称',
`users` varchar(500) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL COMMENT '适用人群',
`mt` varchar(32) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL COMMENT '大分类',
`st` varchar(32) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL COMMENT '小分类',
`grade` varchar(32) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL COMMENT '课程等级',
`studymodel` varchar(32) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL COMMENT '学习模式',
`teachmode` varchar(32) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL COMMENT '教育模式',
`description` text CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL COMMENT '课程介绍',
`timestamp` timestamp(0) NOT NULL DEFAULT CURRENT_TIMESTAMP(0) COMMENT '时间戳logstash使用',
`charge` varchar(32) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL COMMENT '收费规则,对应数据字典',
`valid` varchar(32) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL COMMENT '有效性,对应数据字典',
`qq` varchar(32) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL COMMENT '咨询qq',
`price` float(10, 2) NULL DEFAULT NULL COMMENT '价格',
`price_old` float(10, 2) NULL DEFAULT NULL COMMENT '原价格',
`expires` varchar(32) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL COMMENT '过期时间',
`start_time` varchar(32) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL COMMENT '课程有效期-开始时间',
`end_time` varchar(32) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL COMMENT '课程有效期-结束时间',
`pic` varchar(500) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL COMMENT '课程图片',
`teachplan` text CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL COMMENT '课程计划',
`pub_time` varchar(32) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL COMMENT '发布时间',
PRIMARY KEY (`id`) USING BTREE
) ENGINE = InnoDB CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Dynamic;
-- ----------------------------
-- Records of course_pub
-- ----------------------------
INSERT INTO
`course_pub`
VALUES
(
'297e7c7c62b888f00162b8a7dec20000',
'test_java基础33',
'b1',
'1-3',
'1-3-3',
'200002',
'201002',
NULL,
'java 从入门到删库跑路',
'2019-10-28 11:26:25',
'203002',
'204002',
'32432',
NULL,
NULL,
NULL,
NULL,
NULL,
'group1/M00/00/00/wKgZhV2tIgiAaYVMAAA2T52Dthw246.jpg',
'{\"children\":[{\"children\":[],\"id\":\"40288f9b6e0c10d8016e0c37f72a0000\",\"pname\":\"1\"},{\"children\":[{\"id\":\"40288581632b593e01632bd53ff10001\",\"mediaFileoriginalname\":\"solr.avi\",\"mediaId\":\"5fbb79a2016c0eb609ecd0cd3dc48016\",\"pname\":\"Hello World\"},{\"id\":\"40288f9b6e106273016e106485f30000\",\"mediaFileoriginalname\":\"lucene.avi\",\"mediaId\":\"c5c75d70f382e6016d2f506d134eee11\",\"pname\":\"java基础\"}],\"id\":\"40288581632b593e01632bd4ec360000\",\"pname\":\"程序入门\"},{\"children\":[{\"id\":\"40288f9b6dce18e3016dcef16d860001\",\"mediaFileoriginalname\":\"solr.avi\",\"mediaId\":\"5fbb79a2016c0eb609ecd0cd3dc48016\",\"pname\":\"三级节点\"}],\"id\":\"40288f9b6dce18e3016dcef12a1d0000\",\"pname\":\"二级节点\"},{\"children\":[{\"id\":\"40288c9a6ca3968e016ca417fa8d0001\",\"mediaFileoriginalname\":\"lucene.avi\",\"mediaId\":\"c5c75d70f382e6016d2f506d134eee11\",\"pname\":\"test04-01\"}],\"id\":\"40288c9a6ca3968e016ca417b4a50000\",\"pname\":\"test04\"},{\"children\":[{\"id\":\"40288581632b593e01632bd5d31f0003\",\"mediaFileoriginalname\":\"solr.avi\",\"mediaId\":\"5fbb79a2016c0eb609ecd0cd3dc48016\",\"pname\":\"表达式\"},{\"id\":\"40288581632b593e01632bd606480004\",\"pname\":\"逻辑运算\"}],\"id\":\"40288581632b593e01632bd597810002\",\"pname\":\"编程基础\"},{\"children\":[{\"id\":\"402881e764034e4301640351f3d70003\",\"pname\":\"一切皆为对象\"}],\"id\":\"402881e764034e430164035091a00002\",\"pname\":\"面向对象\"},{\"children\":[{\"id\":\"402899816ad8457c016ad9282a330001\",\"pname\":\"test06\"}],\"id\":\"402899816ad8457c016ad927ba540000\",\"pname\":\"test05\"}],\"id\":\"4028858162bec7f30162becad8590000\",\"pname\":\"test_java基础33\"}',
'2019-10-28 11:26:24'
);
INSERT INTO
`course_pub`
VALUES
(
'297e7c7c62b888f00162b8a965510001',
'test_java基础node',
'test_java基础',
'1-3',
'1-3-2',
'200001',
'201001',
NULL,
'test_java基础2test_java基础2test_java基础2test_java基础2test_java基础2test_java基础2test_java基础2test_java基础2test_java基础2test_java基础2',
'2019-10-24 16:26:34',
'203001',
'204001',
'443242',
NULL,
NULL,
NULL,
NULL,
NULL,
NULL,
'{\"children\":[{\"children\":[{\"id\":\"402881e66417407b01641744fc650001\",\"pname\":\"入门程序\"}],\"id\":\"402881e66417407b01641744afc30000\",\"pname\":\"基础知识\"},{\"children\":[],\"id\":\"4028858162e5d6e00162e5e0727d0001\",\"pname\":\"java基础语法\"},{\"children\":[{\"id\":\"4028d0866b158241016b502433d60002\",\"pname\":\"第二节\"}],\"id\":\"4028d0866b158241016b5023f51e0001\",\"pname\":\"第二章\"}],\"id\":\"4028858162e5d6e00162e5e0227b0000\",\"pname\":\"test_java基础2\"}',
'2019-10-24 16:26:33'
);
SET
FOREIGN_KEY_CHECKS = 1;
2.创建索引 xc_course
3.创建映射
PUT /xc_course
{
"settings": {
"number_of_shards": 1,
"number_of_replicas": 0
},
"mappings": {
"properties": {
"description" : {
"analyzer" : "ik_max_word",
"search_analyzer": "ik_smart",
"type" : "text"
},
"grade" : {
"type" : "keyword"
},
"id" : {
"type" : "keyword"
},
"mt" : {
"type" : "keyword"
},
"name" : {
"analyzer" : "ik_max_word",
"search_analyzer": "ik_smart",
"type" : "text"
},
"users" : {
"index" : false,
"type" : "text"
},
"charge" : {
"type" : "keyword"
},
"valid" : {
"type" : "keyword"
},
"pic" : {
"index" : false,
"type" : "keyword"
},
"qq" : {
"index" : false,
"type" : "keyword"
},
"price" : {
"type" : "float"
},
"price_old" : {
"type" : "float"
},
"st" : {
"type" : "keyword"
},
"status" : {
"type" : "keyword"
},
"studymodel" : {
"type" : "keyword"
},
"teachmode" : {
"type" : "keyword"
},
"teachplan" : {
"analyzer" : "ik_max_word",
"search_analyzer": "ik_smart",
"type" : "text"
},
"expires" : {
"type" : "date",
"format": "yyyy-MM-dd HH:mm:ss"
},
"pub_time" : {
"type" : "date",
"format": "yyyy-MM-dd HH:mm:ss"
},
"start_time" : {
"type" : "date",
"format": "yyyy-MM-dd HH:mm:ss"
},
"end_time" : {
"type" : "date",
"format": "yyyy-MM-dd HH:mm:ss"
}
}
}
}
4.logstash 创建模板文件
Logstash 的工作是从 MySQL 中读取数据,向 ES 中创建索引,这里需要提前创建 mapping 的模板文件以便 logstash 使用。
在 logstach 的 config 目录创建 xc_course_template.json,内容如下:
{
"mappings": {
"doc": {
"properties": {
"charge": {
"type": "keyword"
},
"description": {
"analyzer": "ik_max_word",
"search_analyzer": "ik_smart",
"type": "text"
},
"end_time": {
"format": "yyyy-MM-dd HH:mm:ss",
"type": "date"
},
"expires": {
"format": "yyyy-MM-dd HH:mm:ss",
"type": "date"
},
"grade": {
"type": "keyword"
},
"id": {
"type": "keyword"
},
"mt": {
"type": "keyword"
},
"name": {
"analyzer": "ik_max_word",
"search_analyzer": "ik_smart",
"type": "text"
},
"pic": {
"index": false,
"type": "keyword"
},
"price": {
"type": "float"
},
"price_old": {
"type": "float"
},
"pub_time": {
"format": "yyyy-MM-dd HH:mm:ss",
"type": "date"
},
"qq": {
"index": false,
"type": "keyword"
},
"st": {
"type": "keyword"
},
"start_time": {
"format": "yyyy-MM-dd HH:mm:ss",
"type": "date"
},
"status": {
"type": "keyword"
},
"studymodel": {
"type": "keyword"
},
"teachmode": {
"type": "keyword"
},
"teachplan": {
"analyzer": "ik_max_word",
"search_analyzer": "ik_smart",
"type": "text"
},
"users": {
"index": false,
"type": "text"
},
"valid": {
"type": "keyword"
}
}
}
},
"template": "xc_course"
}
5.logstash 配置 mysql.conf
ES 采用 UTC 时区问题
ES 采用 UTC 时区,比北京时间早 8 小时,所以 ES 读取数据时让最后更新时间加 8 小时
where timestamp > date_add(:sql_last_value,INTERVAL 8 HOUR)
logstash 每个执行完成会在/config/logstash_metadata 记录执行时间下次以此时间为基准进行增量同步数据到索引库。
6.启动
.\logstash.bat -f ..\config\mysql.conf
7.后端代码
7.1.Controller
@RestController
@RequestMapping("/search/course")
public class EsCourseController {
@Autowired
private EsCourseServiceImpl esCourseServiceImpl;
@GetMapping(value = "/list/{page}/{size}")
public QueryResponseResult<CoursePub> list(@PathVariable("page") int page
, @PathVariable("size") int size, CourseSearchParam courseSearchParam) {
return esCourseServiceImpl.list(page, size, courseSearchParam);
}
}
7.2.service
@Service
public class EsCourseServiceImpl implements EsCourseService {
@Value("${kwan.course.source_field}")
private String source_field;
@Autowired
private RestHighLevelClient restHighLevelClient;
/**
* 课程搜索
*
* @param page
* @param size
* @param courseSearchParam
* @return
*/
@Override
public QueryResponseResult<CoursePub> list(int page, int size, CourseSearchParam courseSearchParam) {
if (courseSearchParam == null) {
courseSearchParam = new CourseSearchParam();
}
//1创建搜索请求对象
SearchRequest searchRequest = new SearchRequest("xc_course");
SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();
//过虑源字段
String[] source_field_array = source_field.split(",");
searchSourceBuilder.fetchSource(source_field_array, new String[]{});
//创建布尔查询对象
BoolQueryBuilder boolQueryBuilder = QueryBuilders.boolQuery();
//搜索条件
//根据关键字搜索
if (StringUtils.isNotEmpty(courseSearchParam.getKeyword())) {
MultiMatchQueryBuilder multiMatchQueryBuilder =
QueryBuilders
.multiMatchQuery(courseSearchParam.getKeyword(), "name", "description", "teachplan")
.minimumShouldMatch("70%")
.field("name", 10);
boolQueryBuilder.must(multiMatchQueryBuilder);
}
if (StringUtils.isNotEmpty(courseSearchParam.getMt())) {
//根据一级分类
boolQueryBuilder.filter(QueryBuilders.termQuery("mt", courseSearchParam.getMt()));
}
if (StringUtils.isNotEmpty(courseSearchParam.getSt())) {
//根据二级分类
boolQueryBuilder.filter(QueryBuilders.termQuery("st", courseSearchParam.getSt()));
}
if (StringUtils.isNotEmpty(courseSearchParam.getGrade())) {
//根据难度等级
boolQueryBuilder.filter(QueryBuilders.termQuery("grade", courseSearchParam.getGrade()));
}
//设置boolQueryBuilder到searchSourceBuilder
searchSourceBuilder.query(boolQueryBuilder);
//设置分页参数
if (page <= 0) {
page = 1;
}
if (size <= 0) {
size = 12;
}
//起始记录下标
int from = (page - 1) * size;
searchSourceBuilder.from(from);
searchSourceBuilder.size(size);
//设置高亮
HighlightBuilder highlightBuilder = new HighlightBuilder();
highlightBuilder.preTags("<font class='eslight'>");
highlightBuilder.postTags("</font>");
//设置高亮字段
highlightBuilder.fields().add(new HighlightBuilder.Field("name"));
searchSourceBuilder.highlighter(highlightBuilder);
searchRequest.source(searchSourceBuilder);
QueryResult<CoursePub> queryResult = new QueryResult();
List<CoursePub> list = new ArrayList<>();
try {
//2执行搜索
SearchResponse searchResponse = restHighLevelClient.search(searchRequest, RequestOptions.DEFAULT);
//3获取响应结果
SearchHits hits = searchResponse.getHits();
long totalHits = hits.getTotalHits().value;
//匹配的总记录数
queryResult.setTotal(totalHits);
SearchHit[] searchHits = hits.getHits();
for (SearchHit hit : searchHits) {
CoursePub coursePub = new CoursePub();
//源文档
Map<String, Object> sourceAsMap = hit.getSourceAsMap();
//取出id
String id = (String) sourceAsMap.get("id");
coursePub.setId(id);
//取出name
String name = (String) sourceAsMap.get("name");
//取出高亮字段name
Map<String, HighlightField> highlightFields = hit.getHighlightFields();
if (highlightFields != null) {
HighlightField highlightFieldName = highlightFields.get("name");
if (highlightFieldName != null) {
Text[] fragments = highlightFieldName.fragments();
StringBuffer stringBuffer = new StringBuffer();
for (Text text : fragments) {
stringBuffer.append(text);
}
name = stringBuffer.toString();
}
}
coursePub.setName(name);
//图片
String pic = (String) sourceAsMap.get("pic");
coursePub.setPic(pic);
//价格
Double price = null;
try {
if (sourceAsMap.get("price") != null) {
price = (Double) sourceAsMap.get("price");
}
} catch (Exception e) {
e.printStackTrace();
}
coursePub.setPrice(price);
//旧价格
Double price_old = null;
try {
if (sourceAsMap.get("price_old") != null) {
price_old = (Double) sourceAsMap.get("price_old");
}
} catch (Exception e) {
e.printStackTrace();
}
coursePub.setPrice_old(price_old);
//将coursePub对象放入list
list.add(coursePub);
}
} catch (IOException e) {
e.printStackTrace();
}
queryResult.setList(list);
QueryResponseResult<CoursePub> queryResponseResult = new QueryResponseResult<>(CommonCode.SUCCESS, queryResult);
return queryResponseResult;
}
}
Elasticsearch是一个基于Apache Lucene的开源搜索引擎,它提供了分布式、多租户的搜索服务及数据分析功能。Elasticsearch的架构是面向文档的,它将所有数据存储为JSON文档,每个文档都有唯一的ID,而且处理结构化和非结构化数据非常容易。它使用诸如分片、副本、修订等技术来确保存储方案具备可靠性、高可用性和可伸缩性。Elasticsearch采用基于RESTful API(HTTP)的接口,提供非常完善的查询语句;同时还支持实时字段计算、聚合分析、搜索建议、中文分词以及Geo查询等复杂操作。
Elasticsearch的主要优点包括:
- 分布式设计:Elasticsearch天然支持分布式,可以很容易地横向扩容,处理PB级结构化或非结构化数据。
- 高效的搜索能力:Elasticsearch提供了全文搜索功能,支持模糊查询、前缀查询、通配符查询等,并且具有强大的聚合分析功能。
- 快速的查询速度:Elasticsearch的底层使用Lucene作为搜索引擎,并在此之上做了多重优化,保证了用户对数据查询的需求。
- 易用性:Elasticsearch提供了简单的RESTful API,天生的兼容多语言开发,上手容易,开箱即用。
- 丰富的生态圈:Elasticsearch有丰富的插件和工具,如Logstash、Kibana、Beats等,形成了强大的Elastic Stack生态。
Elasticsearch的使用场景包括:
- 应用搜索:为网站或应用程序提供搜索功能,如电商、社交媒体等。
- 日志记录和日志分析:收集、存储和分析服务器日志、应用日志等。
- 基础设施监控:监控服务器、网络设备等基础设施的性能指标。
- 安全分析:分析安全日志,进行入侵检测和威胁分析。
- 地理位置数据分析:处理地理空间数据,提供地理位置搜索服务。
- 商业智能:对商业数据进行分析,提供决策支持。
Elasticsearch的引入主要是为了应对大数据环境下的海量数据检索和实时分析需求,它通过分布式架构和高效的索引机制,提供了快速的搜索和分析能力。然而,Elasticsearch也存在一些潜在风险,如响应时间问题和任务恢复延迟等,需要通过优化配置和维护来降低这些风险的影响。
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