elasticsearc要怎么导入数据,才能像数据库一样可以用复杂sql条件查询数据,写一个java案例,数据类型要有integer,string,date这三种
时间: 2024-03-03 07:50:07 浏览: 69
要导入数据到Elasticsearch中,可以使用Logstash,它是一个开源的数据处理工具,可以方便快速地将数据从各种来源导入到Elasticsearch中。
下面是一个使用Logstash导入数据到Elasticsearch的示例:
1. 创建一个logstash.conf文件,配置输入、过滤和输出:
```
input {
jdbc {
jdbc_driver_library => "/path/to/mysql-connector.jar"
jdbc_driver_class => "com.mysql.jdbc.Driver"
jdbc_connection_string => "jdbc:mysql://localhost:3306/mydatabase"
jdbc_user => "myuser"
jdbc_password => "mypassword"
statement => "SELECT * FROM mytable"
}
}
filter {
date {
match => [ "timestamp", "ISO8601" ]
}
}
output {
elasticsearch {
hosts => ["localhost:9200"]
index => "myindex"
document_id => "%{id}"
}
}
```
这个配置文件指定了从MySQL数据库中导入数据,并将数据存储到Elasticsearch中的myindex索引中。
2. 在Java中使用Elasticsearch的Java API进行复杂的SQL条件查询:
```java
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.transport.TransportClient;
import org.elasticsearch.common.transport.InetSocketTransportAddress;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.search.SearchHit;
import org.elasticsearch.search.SearchHits;
import org.elasticsearch.search.sort.SortBuilders;
import org.elasticsearch.search.sort.SortOrder;
import org.elasticsearch.transport.client.PreBuiltTransportClient;
import java.net.InetAddress;
import java.util.Date;
public class ElasticsearchDemo {
public static void main(String[] args) throws Exception {
TransportClient client = new PreBuiltTransportClient(
org.elasticsearch.common.settings.Settings.EMPTY)
.addTransportAddress(new InetSocketTransportAddress(
InetAddress.getByName("localhost"), 9300));
SearchResponse response = client.prepareSearch("myindex")
.setTypes("mytype")
.setQuery(QueryBuilders.boolQuery()
.must(QueryBuilders.matchQuery("name", "John"))
.filter(QueryBuilders.rangeQuery("age").gte(18)))
.addSort(SortBuilders.fieldSort("timestamp").order(SortOrder.DESC))
.setSize(10)
.execute().actionGet();
SearchHits hits = response.getHits();
for (SearchHit hit : hits) {
Integer id = (Integer) hit.getSource().get("id");
String name = (String) hit.getSource().get("name");
Date timestamp = (Date) hit.getSource().get("timestamp");
System.out.println("id: " + id + ", name: " + name + ", timestamp: " + timestamp);
}
client.close();
}
}
```
这个Java程序使用TransportClient连接到Elasticsearch集群,并查询myindex索引中名字为John且年龄大于等于18的文档,按照timestamp字段降序排列,并输出前10条结果。其中,id、name和timestamp分别对应数据类型为integer、string和date的字段。
注意:在运行这个Java程序之前,需要先启动Elasticsearch和Logstash,并确保Logstash已经成功地将数据导入到Elasticsearch中。
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