按照之前的四篇文章，走到现在，接下来就是需要安装jdbc了。这里是用的是jdbc的2.3.4.0版本，虽然按照官方给出的对应版本对应不上，https://github.com/jprante/elasticsearch-jdbc，但是实际测试，是可以支持的。
下载解压并移动到/usr/local/jdbc目录
#wget http://xbib.org/repository/org/xbib/elasticsearch/importer/elasticsearch-jdbc/2.3.4.0/elasticsearch-jdbc-2.3.4.0-dist.zip //wget下载地址
# unzip elasticsearch-jdbc-2.3.4.0-dist.zip
# mv elasticsearch-jdbc-2.3.4.0-dist.zip /usr/local/jdbc/
配置环境变量
# vim /etc/profile //把下面两行代码放入底部
export JDBC_HOME=/usr/local/jdbc
export ES_HOME=/usr/local/elasticsearch
# source /etc/profile //生效
接下来创建导入脚本
# cd /usr/local/
# mkdir shell shell/logs
# vim mysql-elasticsearch.sh
#脚本内容
#!/bin/sh
bin=$JDBC_HOME/bin
lib=$JDBC_HOME/lib
echo '{
"type" : "jdbc",
"jdbc": {
"elasticsearch.autodiscover":true,
"elasticsearch.cluster":"my-application", #簇名，对应好配置
"url":"jdbc:mysql://192.168.9.155:3306/hb", #mysql地址/端口/库名
"user":"root", #Mysql账号
"password":"wt000000", #Mysql密码
"sql":"select product_name,id as _id from hp_product where id >10 limit 10 ", #SQL语句 .........注意的是，这里只是测试，在实际配置中需要对应好要存入文档的字段，同样表的主见id对应文档id
"elasticsearch" : {
"cluster":"my-application",
"host" : "192.168.9.155",
"port" : 9300
},
"index" : "myindex", #新的index,这里测试的是商品表，用的index是myindex，其实可以规范命名~
"type" : "mytype" #新的type，类型也可以规范命名
}
}'| java
-cp "${lib}/*"
-Dlog4j.configurationFile=${bin}/log4j2.xml
org.xbib.tools.Runner
org.xbib.tools.JDBCImporter
# chmod a+x mysql-elasticsearch.sh //赋予权限
# ./mysql-elasticsearch.sh //执行脚本
执行完成之后，查看一下日志文件,[INFO]成功信息~
cat /usr/local/shell/logs/jdbc.log
# curl -XGET 'http://192.168.9.155:9200/myindex/mytype/_search?pretty'
{
"took" : 14,
"timed_out" : false,
"_shards" : {
"total" : 5,
"successful" : 5,
"failed" : 0
},
"hits" : {
"total" : 10,
"max_score" : 1.0,
"hits" : [ {
"_index" : "myindex",
"_type" : "mytype",
"_id" : "14",
"_score" : 1.0,
"_source" : {
"product_name" : "兑点茶 剪刀石头布原花混合茶 10包"
}
}, {
"_index" : "myindex",
"_type" : "mytype",
"_id" : "19",
"_score" : 1.0,
"_source" : {
"product_name" : "L'Occitane 欧舒丹 蜡菊赋颜精华液 30ml"
}
}, {
"_index" : "myindex",
"_type" : "mytype",
"_id" : "12",
"_score" : 1.0,
"_source" : {
"product_name" : "兑点茶 乌克丽丽原花混合茶 10包"
}
}, {
"_index" : "myindex",
"_type" : "mytype",
"_id" : "15",
"_score" : 1.0,
"_source" : {
"product_name" : "兑点茶 魔法精灵原花混合茶12包/盒"
}
}, {
"_index" : "myindex",
"_type" : "mytype",
"_id" : "20",
"_score" : 1.0,
"_source" : {
"product_name" : "Bobbi Brown波比布朗 弹力保湿精华液 30ml"
}
}, {
"_index" : "myindex",
"_type" : "mytype",
"_id" : "13",
"_score" : 1.0,
"_source" : {
"product_name" : "兑点茶 挪威森林原花混合茶 10包"
}
}, {
"_index" : "myindex",
"_type" : "mytype",
"_id" : "16",
"_score" : 1.0,
"_source" : {
"product_name" : "兑点茶 涌雪原花混合茶12包/盒"
}
}, {
"_index" : "myindex",
"_type" : "mytype",
"_id" : "18",
"_score" : 1.0,
"_source" : {
"product_name" : "L’Occitane 欧舒丹蜡菊亮白水凝精华液 30ml"
}
}, {
"_index" : "myindex",
"_type" : "mytype",
"_id" : "11",
"_score" : 1.0,
"_source" : {
"product_name" : "兑点茶 艾丽莎原花混合茶12包"
}
}, {
"_index" : "myindex",
"_type" : "mytype",
"_id" : "17",
"_score" : 1.0,
"_source" : {
"product_name" : "兑点茶 菩兰原花混合茶12包"
}
} ]
}
}
OK~
附加----
#!/bin/sh bin=$JDBC_HOME/bin lib=$JDBC_HOME/lib echo '{ "type" : "jdbc", "jdbc" : { "url" : "jdbc:mysql://172.16.10.XXX:3306/db_car", "user" : "write", "password" : "write", "sql" : "select id,title,fnStripTags(content) as content,click_num,keywords,UNIX_TIMESTAMP(updated) as update_time from t_knowledgenew", "elasticsearch" : { "cluster": "my-application", "host" : "172.16.170.XXX", "port" : 9300 }, "index" : "knowledge_index", "type" : "knowledge" } }' | java -cp "${lib}/*" -Dlog4j.configurationFile=${bin}/log4j2.xml org.xbib.tools.Runner org.xbib.tools.JDBCImporter
通过命令查看es中数据
curl -XGET 'http://XXX.XXX.XXX.XXX:9200/knowledge_index/knowledge/_search?pretty'
删除指定索引
# curl -XDELETE 'http://172.16.170.122:9200/index_name'
实时同步。