Five minutes to integrate elastic search in springboot

• For example, it can be used to search the products of the online store, the search of users, and the search of transaction data.
• Collection and storage of business
• Report analysis

How to use elastic search to store and query data in spring boot? At present, there are several convenient ways:

• REST Client
• Spring Data
• Spring Data Elasticsearch Repositories

This article will use spring data elastic search repositories to access elastic search.

get ready

You need to build an elastic search by yourself. The version of elastic search is 7.7.0. This elastic search is a stand-alone version of elastic search, and the production environment needs to use the cluster version. Execute the following command to install

# Download the rpm of elasticsearch wget https://artifacts.elastic.co/downloads/elasticsearch/elasticsearch-7.7.0-x86_64.rpm wget https://artifacts.elastic.co/downloads/elasticsearch/elasticsearch-7.7.0-x86_64.rpm.sha512 shasum -a 512 -c elasticsearch-7.7.0-x86_64.rpm.sha512 sudo rpm --install elasticsearch-7.7.0-x86_64.rpm sudo systemctl daemon-reload sudo systemctl enable elasticsearch.service sudo systemctl start elasticsearch.servic

Modify es for other ip access:

cluster.name: "docker-cluster" network.host: 0.0.0.0 # custom config node.name: "node-1" discovery.seed_hosts: ["127.0.0.1", "[::1]"] cluster.initial_master_nodes: ["node-1"] # Enable cross domain access support, default is false http.cors.enabled: true # Cross domain access allowed domain name addresses, (all domain names allowed) above use regular http.cors.allow-origin: /.*/

Spring boot integrated Elasticsearch

In the pom file of spring boot project, the introduction of elastic search relies on spring boot starter data elastic search, as follows:

<dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-data-elasticsearch</artifactId> </dependency>

Configuration file in springboot application.properties File to fill in the configuration of elasticsearch. The 9300 port used here is the TCP protocol port.

server.port=8500 spring.data.elasticsearch.cluster-nodes=127.0.0.1:9300 spring.data.elasticsearch.cluster-name=my-application

Similar to most spring boot starter data JPA, entity objects are used to correspond with the storage structure fields of the database. Using @ Document(indexName = "user") annotation, a user index will be created in elasticsearch, and the white name uId field of @ id annotation is the id field of elasticsearch.

@Document(indexName = "user") public class User implements Serializable { @Id private String uId; private String name; private Integer age; private String address; //Omit getter setter }

Write an interface UserRepository to inherit the ElasticsearchRepository, which contains the basic ability of adding, deleting, modifying and querying. Add @ Repository annotation to the interface class and inject it into the spring container.

@Repository public interface UserRepository extends ElasticsearchRepository<User, String> { }

UserServiceImpl class to operate the interface of UserRepository, to operate Elasticsearch.

@Service public class UserServiceImpl implements UserService { @Autowired private UserRepository userRepository; @Override public long count() { return userRepository.count(); } @Override public User save(User user) { return userRepository.save(user); } @Override public void delete(User user) { userRepository.delete(user); } @Override public Iterable<User> getAll() { return userRepository.findAll(); } @Override public List<User> getByName(String name) { List<User> list = new ArrayList<>(); MatchQueryBuilder matchQueryBuilder = new MatchQueryBuilder("name", name); Iterable<User> iterable = userRepository.search(matchQueryBuilder); iterable.forEach(e->list.add(e)); return list; } @Override public Page<User> pageQuery(Integer pageNo, Integer pageSize, String kw) { NativeSearchQuery searchQuery = new NativeSearchQueryBuilder() .withQuery(QueryBuilders.matchPhraseQuery("name", kw)) .withPageable(PageRequest.of(pageNo, pageSize)) .build(); return userRepository.search(searchQuery); } }

Write a test class and call the interface in turn:

@RestController public class TestController { @Autowired private UserService userService; @GetMapping("/testInsert") public void testInsert() { User user = new User(); user.setuId("1"); user.setName("zhangsna"); user.setAge(101); user.setAddress("Shenzhen, Guangdong Province"); userService.save(user); user.setuId("2"); user.setName("lisi"); user.setAge(32); user.setAddress("Shenzhen, Guangdong Province"); userService.save(user); user.setuId("3"); user.setName("wangwu"); user.setAge(34); user.setAddress("Shenzhen, Guangdong Province"); userService.save(user); } @GetMapping("/testDelete") public void testDelete() { User user = new User(); user.setuId("1"); userService.delete(user); } @GetMapping("/testGetAll") public void testGetAll() { Iterable<User> iterable = userService.getAll(); iterable.forEach(e -> System.out.println(e.toString())); } @GetMapping("/testGetByName") public void testGetByName() { List<User> list = userService.getByName("lisi"); System.out.println(list); } @GetMapping("/testPage") public void testPage() { Page<User> page = userService.pageQuery(0, 10, "wangwu"); System.out.println(page.getTotalPages()); System.out.println(page.getNumber()); System.out.println(page.getContent()); } }

kibana show data

First, you need to follow kibana. The installation command is as follows:

wget https://artifacts.elastic.co/downloads/kibana/kibana-7.7.0-x86_64.rpm shasum -a 512 kibana-7.7.0-x86_64.rpm sudo rpm --install kibana-7.7.0-x86_64.rpm //Set kibana to start automatically sudo /bin/systemctl daemon-reload sudo /bin/systemctl enable kibana.service sudo systemctl start kibana.service //Start kibana sudo systemctl stop kibana.service //Stop kibana

After starting successfully, visit kibana's address on the browser http://10.10.10.1:5601, enter the main interface of kibana. Then go to the Discover interface. Select the user's index to display the data normally. The data is as follows: