Hive基于ES的外部表使用

作用：

1.将Hive数据导入ES
2.Hive直接使用ES的数据

步骤

一、配置依赖jar

1.临时生效

启动HIVE CLI后，ADD JAR /path/elasticsearch-hadoop-xxx.jar;
或
bin/hive --auxpath=/path/elasticsearch-hadoop-xxx.jar
或
bin/hive -hiveconf hive.aux.jars.path=/path/elasticsearch-hadoop-xxx.jar

2.永久生效
hive-site.xml 添加配置

  hive.aux.jars.path
  /path/elasticsearch-hadoop-xxx.jar
  A comma separated list (with no spaces) of the jar files

CDH版可直接配置，将jar放在配置目录，重启HiveServer2即可。参考：https://blog.csdn.net/qq_23146763/article/details/88897243

二、在Hive创建外部表

CREATE EXTERNAL TABLE tmp.artists (
id string,
user_name string,
age string) 
STORED BY 'org.elasticsearch.hadoop.hive.EsStorageHandler' 
TBLPROPERTIES(
'es.resource' = 'radio/artists',
'es.index.auto.create' = 'true',
"es.mapping.id" = "id",
'es.mapping.names' = 'user_name:user_name_es, age:age_es',
'es.nodes' = 'IP1:9200,IP2:9200,IP3:9200',
"es.net.http.auth.user"="XXX",
"es.net.http.auth.pass"="XXX"
);

es.mapping.names为hive字段和es字段映射,hive只支持小写名，es字段大小写都支持
es.net.http.auth.user和es.net.http.auth.pass是xpack权限控制账号密码，没开启可以不配置。开启了不配置会报错如下：

FAILED: Execution Error, return code 1 from org.apache.hadoop.hive.ql.exec.DDLTask. org.elasticsearch.hadoop.EsHadoopIllegalArgumentException: Cannot detect ES version - typically this happens if the network/Elasticsearch cluster is not accessible or when targeting a WAN/Cloud instance without the proper setting 'es.nodes.wan.only'

三、导入数据

用一张有数据的表导入

INSERT OVERWRITE TABLE tmp.artists
SELECT personal_user_id as id, personal_user_name as user_name ,personal_age as age FROM xxx limit 100;

四、查看数据

通过hive查看

查看es数据

官网：https://www.elastic.co/guide/en/elasticsearch/hadoop/5.5/hive.html