SpringBoot整合Elasticsearch并实现CRUD操作
作者：zxc123e
这篇文章主要介绍了SpringBoot整合Elasticsearch并实现CRUD操作,需要的朋友可以参考下
配置准备
在build.gradle文件中添加如下依赖：
compile "org.elasticsearch.client:transport:5.5.2" compile "org.elasticsearch:elasticsearch:5.5.2" //es 5.x的内部使用的 apache log4日志 compile "org.apache.logging.log4j:log4j-core:2.7" compile "org.apache.logging.log4j:log4j-api:2.7"
这里spring boot使用的是1.5.4版，前些天spring boot 2正式版已经发布，spring boot 2新特性中有一条是支持kotlin，spring boot 2基于spring 5，spring 5也支持了koltin，所以spring也开始支持函数式编程。
关于版本兼容
配置访问Elasticsearch的客户端，这里都使用原生es JavaAPI。
@Configuration
public class ElasticSearchConfig {
@Bean(name = "client")
public TransportClient getClient() {
InetSocketTransportAddress node = null;
try {
node = new InetSocketTransportAddress(InetAddress.getByName("192.168.124.128"), 9300);
} catch (UnknownHostException e) {
e.printStackTrace();
}
Settings settings = Settings.builder().put("cluster.name", "my-es").build();
TransportClient client = new PreBuiltTransportClient(settings);
client.addTransportAddress(node);
return client;
}
}
SocketTransport端口可以使用http://ip:9200/_nodes方式查看，这里默认使用的是9300端口。
CRUD操作
新建一个控制器ElasticSearchController，使用原生的es JavaAPI。
@RestController
public class ElasticSearchController {
@Autowired
TransportClient client;
}
在控制器中添加增删查改方法
增加操作
@PostMapping("add/book/novel")
public ResponseEntity add(
@RequestParam(name = "title") String title, @RequestParam(name = "authro") String author,
@RequestParam(name = "word_count") int wordCount,
@RequestParam(name = "publish_date") @DateTimeFormat(pattern = "yyyy-MM-dd HH:mm:ss")Date publishDate
)
{
try {
XContentBuilder content = XContentFactory.jsonBuilder().startObject()
.field("title", title)
.field("author", author)
.field("word_count", wordCount)
.field("publish_date", publishDate.getTime())
.endObject();
IndexResponse result = this.client.prepareIndex("book", "novel").setSource(content).get();
return new ResponseEntity(result.getId(), HttpStatus.OK);
} catch (IOException e) {
e.printStackTrace();
return new ResponseEntity(HttpStatus.INTERNAL_SERVER_ERROR);
}
}
删除操作
@DeleteMapping("/delete/book/novel")
public ResponseEntity delete(@RequestParam(name = "id") String id)
{
DeleteResponse result = client.prepareDelete("book", "novel", id).get();
return new ResponseEntity(result.getResult().toString(), HttpStatus.OK);
}
查找操作
@GetMapping("/get/book/novel")
public ResponseEntity get(@RequestParam(name = "id", defaultValue="") String id)
{
if (id.isEmpty())
{
return new ResponseEntity(HttpStatus.NOT_FOUND);
}
GetResponse result = this.client.prepareGet("book", "novel", id).get();
if (!result.isExists())
{
return new ResponseEntity(HttpStatus.NOT_FOUND);
}
return new ResponseEntity(result.getSource(), HttpStatus.OK);
}
更新操作
@PutMapping("/put/book/novel")
public ResponseEntity update(@RequestParam(name = "id") String id, @RequestParam(name = "title", required = false) String title,
@RequestParam(name = "author", required = false) String author
)
{
try {
XContentBuilder builder = XContentFactory.jsonBuilder().startObject();
if (title!= null)
{
builder.field("title", title);
}
if (author != null)
{
builder.field("author", author);
}
builder.endObject();
UpdateRequest updateRequest = new UpdateRequest("book", "novel", id);
updateRequest.doc(builder);
UpdateResponse result = client.update(updateRequest).get();
return new ResponseEntity(result.getResult().toString(), HttpStatus.OK);
} catch (Exception e) {
e.printStackTrace();
return new ResponseEntity(HttpStatus.INTERNAL_SERVER_ERROR);
}
}
复合查找
@GetMapping("/query/book/novel")
public ResponseEntity query(@RequestParam(name = "author", required = false) String author,
@RequestParam(name = "title", required = false) String title,
@RequestParam(name = "gt_word_count", defaultValue = "0") int gtWordCount,
@RequestParam(name = "lt_word_count", required = false) Integer ltWordCount)
{
BoolQueryBuilder boolQueryBuilder = QueryBuilders.boolQuery();
if (author != null)
{
boolQueryBuilder.must(QueryBuilders.matchQuery("author",author));
}
if (title != null)
{
boolQueryBuilder.must(QueryBuilders.matchQuery("title", title));
}
RangeQueryBuilder rangeQueryBuilder = QueryBuilders.rangeQuery("word_count").from(gtWordCount);
if (ltWordCount != null && ltWordCount > 0)
{
rangeQueryBuilder.to(ltWordCount);
}
boolQueryBuilder.filter(rangeQueryBuilder);
SearchRequestBuilder searchRequestBuilder = this.client.prepareSearch("book")
.setTypes("novel")
.setSearchType(SearchType.DFS_QUERY_THEN_FETCH)
.setQuery(boolQueryBuilder)
.setFrom(0)
.setSize(10);
System.out.println(searchRequestBuilder); //调试用
SearchResponse response = searchRequestBuilder.get();
List<Map<String, Object>> result = new ArrayList<>();
for (SearchHit hit : response.getHits())
{
result.add(hit.getSource());
}
return new ResponseEntity(result, HttpStatus.OK);
}
上面的代码组织的复合查询类似下面的Query DSL：
{
"query":{
"bool":{
"must":[
{"match":{"author":"张三"}},
{"match":{"title":"Elasticsearch"}}
],
"filter":[
{"range":
{"word_count":{
"gt":"0",
"lt":"3000"
}
}
}
]
}
}
}
总结
以上所述是小编给大家介绍的SpringBoot整合Elasticsearch并实现CRUD操作，希望对大家有所帮助，如果大家有任何疑问请给我留言，小编会及时回复大家的。在此也非常感谢大家对脚本之家网站的支持！