《Mysql入門MySQL 與 Elasticsearch 數據不對稱問題解決辦法》要點:
本文介紹了Mysql入門MySQL 與 Elasticsearch 數據不對稱問題解決辦法,希望對您有用。如果有疑問,可以聯系我們。
MYSQL應用MySQL 與 Elasticsearch 數據不對稱問題解決辦法
MYSQL應用jdbc-input-plugin 只能實現數據庫的追加,對于 elasticsearch 增量寫入,但經常jdbc源一端的數據庫可能會做數據庫刪除或者更新操作.這樣一來數據庫與搜索引擎的數據庫就出現了不對稱的情況.
MYSQL應用當然你如果有開發團隊可以寫程序在刪除或者更新的時候同步對搜索引擎操作.如果你沒有這個能力,可以嘗試下面的方法.
MYSQL應用這里有一個數據表 article , mtime 字段定義了 ON UPDATE CURRENT_TIMESTAMP 所以每次更新mtime的時間都會變化
MYSQL應用
mysql> desc article;
+-------------+--------------+------+-----+--------------------------------+-------+
| Field | Type | Null | Key | Default | Extra |
+-------------+--------------+------+-----+--------------------------------+-------+
| id | int(11) | NO | | 0 | |
| title | mediumtext | NO | | NULL | |
| description | mediumtext | YES | | NULL | |
| author | varchar(100) | YES | | NULL | |
| source | varchar(100) | YES | | NULL | |
| content | longtext | YES | | NULL | |
| status | enum('Y','N')| NO | | 'N' | |
| ctime | timestamp | NO | | CURRENT_TIMESTAMP | |
| mtime | timestamp | YES | | ON UPDATE CURRENT_TIMESTAMP | |
+-------------+--------------+------+-----+--------------------------------+-------+
7 rows in set (0.00 sec)
MYSQL應用logstash 增加 mtime 的查詢規則
MYSQL應用
jdbc {
jdbc_driver_library => "/usr/share/java/mysql-connector-java.jar"
jdbc_driver_class => "com.mysql.jdbc.Driver"
jdbc_connection_string => "jdbc:mysql://localhost:3306/cms"
jdbc_user => "cms"
jdbc_password => "password"
schedule => "* * * * *" #定時cron的表達式,這里是每分鐘執行一次
statement => "select * from article where mtime > :sql_last_value"
use_column_value => true
tracking_column => "mtime"
tracking_column_type => "timestamp"
record_last_run => true
last_run_metadata_path => "/var/tmp/article-mtime.last"
}
MYSQL應用創建回收站表,這個事用于解決數據庫刪除,或者禁用 status = 'N' 這種情況的.
MYSQL應用
CREATE TABLE `elasticsearch_trash` (
`id` int(11) NOT NULL,
`ctime` timestamp NULL DEFAULT CURRENT_TIMESTAMP,
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8
MYSQL應用為 article 表創建觸發器
MYSQL應用
CREATE DEFINER=`dba`@`%` TRIGGER `article_BEFORE_UPDATE` BEFORE UPDATE ON `article` FOR EACH ROW
BEGIN
-- 此處的邏輯是解決文章狀態變為 N 的時候,需要將搜索引擎中對應的數據刪除.
IF NEW.status = 'N' THEN
insert into elasticsearch_trash(id) values(OLD.id);
END IF;
-- 此處邏輯是修改狀態到 Y 的時候,方式elasticsearch_trash仍然存在該文章ID,導致誤刪除.所以需要刪除回收站中得回收記錄.
IF NEW.status = 'Y' THEN
delete from elasticsearch_trash where id = OLD.id;
END IF;
END
CREATE DEFINER=`dba`@`%` TRIGGER `article_BEFORE_DELETE` BEFORE DELETE ON `article` FOR EACH ROW
BEGIN
-- 此處邏輯是文章被刪除同事將改文章放入搜索引擎回收站.
insert into elasticsearch_trash(id) values(OLD.id);
END
MYSQL應用接下來我們需要寫一個簡單地 Shell 每分鐘運行一次,從 elasticsearch_trash 數據表中取出數據,然后使用 curl 命令調用 elasticsearch restful 接口,刪除被收回的數據.
MYSQL應用你還可以開發相關的程序,這里提供一個 Spring boot 定時任務例子.
MYSQL應用實體
MYSQL應用
package cn.netkiller.api.domain.elasticsearch;
import java.util.Date;
import javax.persistence.Column;
import javax.persistence.Entity;
import javax.persistence.Id;
import javax.persistence.Table;
@Entity
@Table
public class ElasticsearchTrash {
@Id
private int id;
@Column(columnDefinition = "TIMESTAMP DEFAULT CURRENT_TIMESTAMP")
private Date ctime;
public int getId() {
return id;
}
public void setId(int id) {
this.id = id;
}
public Date getCtime() {
return ctime;
}
public void setCtime(Date ctime) {
this.ctime = ctime;
}
}
MYSQL應用倉庫
MYSQL應用
package cn.netkiller.api.repository.elasticsearch;
import org.springframework.data.repository.CrudRepository;
import com.example.api.domain.elasticsearch.ElasticsearchTrash;
public interface ElasticsearchTrashRepository extends CrudRepository<ElasticsearchTrash, Integer>{
}
MYSQL應用定時任務
MYSQL應用
package cn.netkiller.api.schedule;
import org.elasticsearch.action.delete.DeleteResponse;
import org.elasticsearch.client.transport.TransportClient;
import org.elasticsearch.rest.RestStatus;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.scheduling.annotation.Scheduled;
import org.springframework.stereotype.Component;
import com.example.api.domain.elasticsearch.ElasticsearchTrash;
import com.example.api.repository.elasticsearch.ElasticsearchTrashRepository;
@Component
public class ScheduledTasks {
private static final Logger logger = LoggerFactory.getLogger(ScheduledTasks.class);
@Autowired
private TransportClient client;
@Autowired
private ElasticsearchTrashRepository alasticsearchTrashRepository;
public ScheduledTasks() {
}
@Scheduled(fixedRate = 1000 * 60) // 60秒運行一次調度任務
public void cleanTrash() {
for (ElasticsearchTrash elasticsearchTrash : alasticsearchTrashRepository.findAll()) {
DeleteResponse response = client.prepareDelete("information", "article", elasticsearchTrash.getId() + "").get();
RestStatus status = response.status();
logger.info("delete {} {}", elasticsearchTrash.getId(), status.toString());
if (status == RestStatus.OK || status == RestStatus.NOT_FOUND) {
alasticsearchTrashRepository.delete(elasticsearchTrash);
}
}
}
}
MYSQL應用Spring boot 啟動主程序.
MYSQL應用
package cn.netkiller.api;
import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
import org.springframework.scheduling.annotation.EnableScheduling;
@SpringBootApplication
@EnableScheduling
public class Application {
public static void main(String[] args) {
SpringApplication.run(Application.class, args);
}
}
MYSQL應用以上就是MySQL 與 Elasticsearch 數據不對稱問題解決辦法的講解,如有疑問請留言或者到本站社區交流討論,感謝閱讀,希望能幫助到大家,謝謝大家對本站的支持!
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