一、hive配置文件
在spak/conf目录添加hive-site.xml配置，设置mysql作为元数据存储的数据库
<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
<configuration>
<property>
<name>javax.jdo.option.ConnectionURL</name>
<value>jdbc:mysql://192.168.150.1:3306/spark_metadata_db?createDatabaseIfNotExist=true&characterEncoding=UTF-8</value>
<description>JDBC connect string for a JDBC metastore</description>
</property>
<property>
<name>javax.jdo.option.ConnectionDriverName</name>
<value>com.mysql.jdbc.Driver</value>
<description>Driver class name for a JDBC metastore</description>
</property>
<property>
<name>javax.jdo.option.ConnectionUserName</name>
<value>root</value>
<description>Username to use against metastore database</description>
</property>
<property>
<name>javax.jdo.option.ConnectionPassword</name>
<value>admin</value>
<description>password to use against metastore database</description>
</property>
</configuration>
二、启动spark-sql shell
cd ~/software/spark-2.4.4-bin-hadoop2.6
bin/spark-sql --master spark://hadoop01:7077,hadoop02:7077,hadoop03:7077 --driver-class-path /home/mk/mysql-connector-java-5.1.26-bin.jar --jars /home/mk/mysql-connector-java-5.1.26-bin.jar
启动shell前：
启动shell后：
mysql数据库里面创建了spark_metadata_db
三、执行sql
show tables;
create table test(id int, name string) USING org.apache.spark.sql.jdbc options(url 'jdbc:mysql://192.168.150.1:3306/spark-mysql?user=root&password=admin', dbtable 'test_a');
show tables;
select * from test;
insert into test values(4, 'd'), (5, 'e'), (6, 'f');
select * from test;